Next Article in Journal
From ALL to Myeloid and NK Malignancies: Operationalizing “ASNS-Low” for L-Asparaginase Repurposing and Combination Therapy
Previous Article in Journal
Aloperine Suppresses the Tumorigenicity of Esophageal Squamous Cell Carcinoma by Targeting the AP-1/IL-6/STAT3 Signaling Axis
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Role of Microbial Toxins in Neurodegenerative Diseases: Insights and Future Perspectives

1
Department of Life Sciences, Yeungnam University, Gyeongsan 38541, Republic of Korea
2
Ocean and Fisheries Development International Cooperation Institute, Pukyong National University, Busan 48513, Republic of Korea
3
International Graduate Program of Fisheries Science, Pukyong National University, Busan 48513, Republic of Korea
*
Authors to whom correspondence should be addressed.
Biomolecules 2026, 16(6), 790; https://doi.org/10.3390/biom16060790
Submission received: 28 April 2026 / Revised: 21 May 2026 / Accepted: 25 May 2026 / Published: 27 May 2026
(This article belongs to the Section Molecular Medicine)

Abstract

Neurodegenerative disorders, including Parkinson’s, Alzheimer’s, and multiple sclerosis, are significant global health issues characterized by escalating neuronal dysfunction and cognitive decline. Studies suggest that microbial toxins originating from fungi and bacteria may contribute to neurodegenerative processes by altering neuronal homeostasis in several ways. Toxins formerly associated with infectious diseases have now been associated with neuroinflammation, oxidative stress, and protein misfolding, all of which are common in neurodegenerative diseases. According to recent studies, microbial toxins generated by the gut microbiota may cross the blood–brain barrier and possibly contribute to neuroinflammatory cascades linked to the development of neurodegenerative diseases. The complex interplay of microbial metabolites, microbial responses, and mitochondrial dysfunction demonstrates the diverse character of neurodegenerative processes. This review delves into the current understanding of microbial toxins, which are produced by diverse bacteria and can have a direct or indirect impact on neuronal health via multiple signaling pathways. Understanding the signaling mechanisms of microbial and toxin-mediated neurodegenerative diseases could result in the development of effective alternative therapeutics for neurological disorders.

1. Introduction

Neurodegenerative disorders are a global public health concern characterized by the gradual decline of neuronal function and structure [1]. Parkinson’s disease (PD), Alzheimer’s disease (AD), amyotrophic lateral sclerosis (ALS), and Huntington’s disease (HD) not only impact individuals but also impose an additional burden on medical facilities and the public as a whole [2]. Despite substantial investigation, the exact causes and pathophysiology of several diseases are unknown [3], complicating the development of effective treatments and preventive strategies. Recent breakthroughs in neurobiology have shown a complex relationship between microbial toxins and neurological disorders, emphasizing the necessity for efficient preventive interventions [4]. Microbial toxins, traditionally considered infectious disease agents, are a type of toxin produced by bacteria [5], and fungi are recognized for their potential contributions to neurodegeneration [6]. These toxins have a variety of chemical structures and methods of action, which can alter neuronal homeostasis, cause inflammatory responses, and increase neurotoxicity [7]. Determining the involvement of microbial toxins in neurological disorders is a promising area of research, providing new perspectives into disease mechanisms and potential treatment targets.
Neurodegenerative disorders cause a gradual loss of neurons and synapses [8], leading to cognitive deterioration, motor dysfunction, and, subsequently, serious impairment [9]. AD, the most common type of dementia, is distinguished by the formation of beta-amyloid plaques as well as tau protein neurofibrillary tangles in the brain, which contribute to cellular death and cognitive decline [10]. PD is caused by the loss of dopaminergic neurons in the substantia nigra, which results in motor signs such as tremors and stiffness [11]. ALS damages motor neurons in the spinal cord and brain, causing muscle deterioration and immobility [12]. These conditions share characteristics such as misfolding of proteins, neural inflammation, oxidative stress, and mitochondrial dysfunction, all of which contribute to progressive neurotoxicity [13].
This review focuses on the five interrelated mechanisms—neuroinflammation, oxidative stress, protein misfolding and aggregation, mitochondrial dysfunction, and disruption of the blood–brain barrier—by which microbial toxins cause neurodegeneration.
Microbial toxins have long been explored for their roles in promoting infectious diseases [14,15]. For example, Clostridium tetani toxin and Clostridium botulinum toxin are well-known for their neurotoxic properties, which cause muscle paralysis by interrupting neural communication at neuromuscular junctions [16]. However, recent studies have indicated that microbial toxins may play essential roles in neurological diseases not associated with typical infection routes [17]. Multiple microbial toxins are being linked to neurodegenerative diseases via diverse mechanisms. For instance, by stimulating astrocytes and microglia in the central nervous system, lipopolysaccharide (LPS), which is part of the cell walls of Gram-negative bacterial cells, can cause neuroinflammation and oxidative stress in the central nervous system (CNS) [18]. This inflammatory reaction causes neuronal damage and increases disease progression, such as AD and PD [19]. Fungal toxins, such as those generated by Candida albicans, have been associated with protein misfolding and aggregation, a characteristic common to neurodegenerative disorders [20]. Toxins can trigger the aggregation of α-Syn and other proteins associated with PD, implying a link between fungal infections and disease progression [21].
Microbial toxins in the CNS stimulate innate immune responses, which recognize and combat neurodegeneration through pattern recognition receptors (PRR), such as toll-like receptors (TLR) [22]. The activation of these receptors causes the production of pro-inflammatory chemokines, cytokines, and reactive oxygen species (ROS), which enhance neuroinflammation and worsen neuronal injury [23]. Microbial toxins can potentially have a direct effect on neuronal function and survivability [24]. In particular, several bacterial toxins disrupt intracellular signaling pathways vital for the survival of neurons and synaptic activity. Toxins generated by molds and fungi harm neurons by altering cellular membranes and mitochondrial activity, resulting in energy depletion and apoptosis [25]. Furthermore, certain microbial toxins behave like prions, causing host proteins to misfold and aggregate.
Microbial toxins, particularly α-Syn, have been associated with neurological conditions and may contribute to disease progression by spreading protein abnormalities throughout the brain [26]. Recognizing microbial toxins as potential contributions to neurodegenerative disorders brings up novel therapeutic opportunities. Addressing microbial toxins and their subsequent impacts on neurological inflammation, protein aggregation, and neural survival is an intriguing approach to delaying disease progression and maintaining neuronal function [27]. Microbial toxins in neurodegenerative diseases can have neurotoxic effects on the central nervous system, potentially altering immune responses and protein clearance systems. Nanotechnology, gene therapy, and immunization could be used to target these toxins, potentially providing novel treatments [28]. The current review focuses on the function of toxins in neurodegenerative diseases, their modes of action, and the correlation between gut microbiome and toxin generation.
Even though there is mounting evidence linking microbial toxins to neurological disorders, there are still a number of significant unresolved issues. The majority of currently available research is observational and does not definitively determine whether toxin production and microbial dysbiosis are secondary effects of disease progression or causative factors. Additionally, it remains unclear exactly how microbial toxins affect neuroinflammation, protein aggregation, mitochondrial dysfunction, and the disruption of the blood–brain barrier. The diversity of gut microbiomes among individuals is another significant obstacle that complicates the identification of toxin profiles and microbial signatures unique to a given disease. The intricacy of host-microbiota interactions is further highlighted by contradictory results about the role of specific microbial species in neuroprotection versus neurotoxicity. Despite improvements in experimental models, there has been little conversion of these discoveries into therapeutic approaches that are applicable in clinical settings. Therefore, additional mechanistic research and long-term clinical studies are required to elucidate the role of microbial toxins in the development and course of neurological disorders.

2. Gut Microbiota and Toxin Production

The gut microbiota, a complex network of bacterial species, is shaped by neonatal changes as well as environmental events, which influence its makeup [29]. Under adverse circumstances, the gut microbiota can produce excessive toxins, resulting in inflammation and the breakdown of the intestinal barrier. Gut microbiota diversity is affected by environmental and genetic variables, with nutrition playing a significant role [30]. Based on the findings, dysbiosis and bacterial endotoxins in PD patients may produce gastrointestinal inflammation, enhanced permeability, and α-Syn misfolding [31]. When intestinal microbes break down amino acids, including choline, betaine, l-carnitine, tyrosine, phenylalanine, and tryptophan, they release additional uremic toxins. The type of diet that contains these amino acids determines how these toxins develop [30]. In general, the digestive tract’s microbial degradation of AA produces uremic toxins. For example, the distal colon produces p-cresol by breaking down tyrosine and phenylalanine. Meanwhile, gut bacteria like Escherichia coli convert tryptophan into indole and indole acetic acid [32]. Autism spectrum disorder (ASD) is a neurological ailment that impacts an individual’s perception of their surroundings [33]. The same toxin can be synthesized by gut bacteria without being metabolized, and vice versa. Several distinct studies have demonstrated the bacterial origin of compounds, including phenol, phenylacetic acid, indole-3-acetic acid, p-cresyl sulfate, trimethylamine, trimethylamine-N-oxide, hippuric acid, and phenol [34,35,36,37]. Although ASD is primarily regarded as a neurodevelopmental disorder rather than a neurodegenerative disease, it is discussed here because there is mounting evidence connecting altered neurodevelopment and dysfunction of the gut–brain axis to gut microbiota dysbiosis, microbial toxin production, and neuroinflammatory pathways. Researchers have found that some bacteria, such as Oxalobacter formigenes, Campylobacter upsaliensis, Desulfovibrio sp., Brevundimonas sp., Helicobacter pylori, Campylobacter coli, Desulfovibrio piger, and Phascolarctobacterium faecium, can produce over 14 different toxins; nonetheless, they cannot all metabolize the same toxins. On the other hand, the following microorganisms are incapable of synthesizing toxins and can only metabolize over seven of them. Clostridium sporogenes, Klebsiella oxytoca, Escherichia coli, Lactobacillus ruminis, Pediococcus acidilactici, Parvimonas micra, Listeria grayi, Listeria innocua, and Enterococcus faecalis, Ruminococcaceae bacterium, are a few examples of bacteria [38].
Furthermore, it was discovered that uremic patients’ intestines had noticeably higher overall concentrations of E. coli and Klebsiella [39]. It should be emphasized that bacteria have the ability to eliminate dangerous solutes by using uremic retention solutes as nutrition. Certain bacteria exhibit the ability to express specific enzymes, such as urease (Pseudomonas spp.), which catalyzes the breakdown of urea, or urate oxidase (Clostridia spp.), which oxidizes uric acid [40]. When released into the gut, toxic chemicals like creatinine and oxalate are consequently digested by bacteria [41,42]. Within the normal microbiota, species belonging to the genera Bifidobacterium, Enterococcus, Oxalobacter, Eubacterium, and Lactobacillus have the ability to degrade oxalate, hence reducing its accumulation in the uremic zone [43].
The complex relationship between the bloodstream, the CNS, and the gut (intestine) is depicted in Figure 1, which shows how brain and gut health are influenced by one another. It primarily examines the gut microbiota (the community of bacteria in the intestine) and how it affects inflammation and neuronal function in the CNS. In contrast, a poor diet and environmental contaminants stimulate the growth of pathogenic bacteria, which create toxic compounds that can penetrate the blood–brain barrier (BBB), causing inflammatory and degenerative impacts in the central nervous system. Interleukin-10 (IL-10) is a cytokine that has anti-inflammatory characteristics and aids in immune response suppression, which helps shield the brain. Pro-inflammatory cytokines such as interleukin-6 (IL-6), IL-17, and interferon-gamma (IFN-γ), however, become active when the central nervous system is weakened. These cytokines worsen demyelination (damage to the covering that protects neurons), increase inflammation, and contribute to cell death and damage to neurons.

3. Microbial Toxins Implicated in Neurodegenerative Diseases and Their Action Mechanisms

The connection between microbiota and diseases like cancer, diabetes, and neurological disorders has been the subject of much research in recent decades. Gastrointestinal abnormalities, including diarrhea, constipation, abdominal pain, and barrier disruption, are also present in patients with ASD, and their severity is correlated with such abnormalities [45]. There is a correlation between greater intestinal permeability and higher behavioral severity in very young children who show signs of autism spectrum disorder [46]. There is a correlation between elevated blood levels of toxins and bacterial products, which are generated by increased intestinal permeability, and immune responses, which may result in reduced cognitive function and social behavior [47,48]. ASD-associated microbiota in the human gut have the potential to exacerbate ASD behavior in mice. There was a hypothesis that certain bacterial taxa and metabolites might have an effect on the autism spectrum disorder behavior of mice that had a human microbiome [49]. According to recent research, dysregulated immune responses and altered gut microbiota composition are frequently linked to ASD [47,50,51,52,53]. It should be acknowledged that the majority of evidence linking microbial metabolites and gut microbiota dysbiosis to neurodevelopmental and neurodegenerative outcomes is derived from animal models [54]. Although individuals with ASD and other neurological disorders have been found to have altered microbial composition and metabolite profiles, direct causal relationships in human populations are still not well established. To determine whether these microbial changes are secondary disease-associated changes or directly contribute to disease pathogenesis, more longitudinal and interventional research is needed. Children with GI problems and ASD were shown to have inadequate amounts of the taxa unclassified Veillonellaceae, Coprococcus, and Prevotella [55]. In addition, a meta-analysis discovered that children with autism spectrum disorder had lowered counts of E. coli, Bifidobacterium, Enterococcus, and Bacteroides but increased levels of Ruminococcus, Lactobacillus, and Faecalibacterium [51]. The feces of children diagnosed with autism spectrum disorder (ASD) were found to include higher levels of the Clostridium histolyticum group (Clostridium clusters II and I), which are known to possess the ability to create poisons [52]. Since it has been proven that the reduction of these Clostridia levels via the use of vancomycin may alleviate the symptoms of autism spectrum disorder (ASD), this suggests that bacteria belonging to the C. histolyticum group may contribute to ASD-associated symptoms [56].
Certain bacteria create proteinaceous toxins that damage the host’s neurological system Table 1. The general structure of these toxins is often similar, consisting of multiple subunits that activate intracellular or cell-surface receptors. Opportunistic pathogens can produce these toxins and live in the commensal community for extended periods without causing obvious disease in the brain or gut [7]. Numerous Clostridium species are recognized to generate a wide range of toxins, including enterotoxins, epsilon toxin, lethal toxin, and toxin B. These toxins can cross the BBB (Figure 2), disrupt systemic circulation, inhibit the release of neurotransmitters, and/or reduce the viability of neurons over a spectrum of a variety of target organs, including the gut and the hippocampus [7,24,57,58,59]. The toxins produced by Staphylococcus and Bacillus species, cereulide and staphylococcal enterotoxins, stimulate the vagus nerve, delivering messages to the brain that cause vomiting and other symptoms of illness [60,61,62]. A class of proteins known as amyloids is produced by other species, including Salmonella and Escherichia spp. These proteins aggregate in the intestine and have the potential to migrate to the brain in a manner resembling prion disease. They may also play a role in neurodegeneration, as seen in conditions like PD and AD [63,64,65,66]. Based on the fundamental knowledge of the gut–brain axis, research is still being done to determine which brain cells are impacted directly or indirectly by particular bacterial metabolites. It will take a lot of effort to methodically prove that these chemical messengers made from gut bacteria affect the growth or operation of particular brain cells. Here, we provide a summary of the available data suggesting that gut microbiota metabolites could have an impact on brain cells [67].
Figure 2. Function of the oral and intestinal microbiota in neurodegenerative disease neuroinflammation. Increased gut-blood barrier permeability allows microbial products like LPS, short-chain fatty acids, H2S, bacterial fragments, and amyloid-like proteins (like curli) to enter the systemic circulation and cross the blood-brain barrier into the central nervous system. Solid arrows indicate the translocation pathways of these metabolites across compromised barriers; dashed lines highlight the magnified anatomical regions. Color-coded icons represent pathogenic proteins, inflammatory mediators, and short-chain fatty acids as defined in the key. Reprinted from [68], Copyright © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
Figure 2. Function of the oral and intestinal microbiota in neurodegenerative disease neuroinflammation. Increased gut-blood barrier permeability allows microbial products like LPS, short-chain fatty acids, H2S, bacterial fragments, and amyloid-like proteins (like curli) to enter the systemic circulation and cross the blood-brain barrier into the central nervous system. Solid arrows indicate the translocation pathways of these metabolites across compromised barriers; dashed lines highlight the magnified anatomical regions. Color-coded icons represent pathogenic proteins, inflammatory mediators, and short-chain fatty acids as defined in the key. Reprinted from [68], Copyright © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
Biomolecules 16 00790 g002
Table 1. Role of different types of toxins produced from diverse microorganisms in neurodegenerative diseases.
Table 1. Role of different types of toxins produced from diverse microorganisms in neurodegenerative diseases.
Microbial ToxinsSourcesMechanism in NeurodegenerationAssociated Neurodegenerative DiseasesLevel of EvidenceReferences
Lipopolysaccharide (LPS)Gram-negative bacteriaInduces neuroinflammation and oxidative stress via microglial activationAlzheimer’s disease, Parkinson’s diseaseModerate (preclinical + associative human evidence)[69]
Beta-amyloidProduced by bacteria and fungiAggregates into plaques, disrupts synaptic functionAlzheimer’s diseaseModerate evidence[70]
Mycotoxins (e.g., aflatoxins)Aspergillus, PenicilliumDisrupts cellular membranes’ mitochondrial function, inducing apoptosisNeurotoxicity leading to cognitive impairmentModerate evidence[71,72]
PrionsVarious sources, including fungiInduce misfolding of host proteins, propagate protein aggregationPrion diseases (e.g., Creutzfeldt-Jakob disease)High evidence[73]
Botulinum toxinClostridium botulinumInhibits neurotransmitter release, leading to muscle paralysisBotulismHigh evidence[74]
Tetanus toxinClostridium tetaniBlocks inhibitory neurotransmission, causing muscle rigidity and spasmshyperactivity and dysfunction in motor neurons,High evidence[75]
Staphylococcal enterotoxinsStaphylococcus aureusActivates immune response, exacerbates neuroinflammationMultiple sclerosis, Alzheimer’s diseaseModerate evidence[76,77]
Shiga toxinsShigella dysenteriaeInduces apoptosis in neurons, disrupts protein synthesisHemolytic-uremic syndrome, neurological sequelaeHigh evidence[78]
α-Synuclein-like proteinsE. coliAntibacterial proteins imitate or engage with human αSyn, encouraging its accumulation and dissemination.Parkinson’s DiseaseHigh evidence[79]

3.1. Neuroinflammation: Contribution of Microbial Toxins to Neuroinflammatory Processes

According to epidemiological data, Figure 3 shows that chronic microbial infections are linked to neurological issues. The molecular complexity of cell-organ connections during microbial infections makes the underlying processes unclear [80]. Direct translocation of pulmonary bacteria and their soluble constituents may breach the lung alveolar-capillary barrier [81], enter the circulation, and utilize the BBB to reach the brain. Few studies have been done on direct translocation despite it being a possible lung-brain axis mechanism. Pseudomonas aeruginosa, a pneumonia-causing bacterium, may enter the bloodstream by damaging alveoli and introducing toxins to lung epithelial cells [82,83].
Interestingly, P. aeruginosa may cause meningitis and cerebral edema [84]. Another study indicates how pulmonary microbiomes influence CNS autoimmunity and MS [85]. The research found that lung bacteria’s cell wall components continually stimulate brain immune cells, polarizing brain-resident microglial cells toward a type I interferon (IFN) signature. Strong evidence is that the vagus nerve-mediated route and systemic circulation allow gut-central nervous system connection [86,87]. Even though these relations are largely beneficial, research into the connection between the human gut and brain has lately gained pace, demonstrating how vital the gut microbiota is in influencing behavior, stress reactions, and even certain mental diseases [47,88]. Bacterial compounds activate innate immune responses, causing an elevation in inflammatory cytokine levels [89]. Numerous studies have demonstrated that bacteria and the chemicals they generate can disrupt the BBB associated with various disorders [90,91,92].
BBB promotes TNF and permeability in animal sepsis models. Elevated TNF levels are associated with increased BBB permeability in animal sepsis models, suggesting that systemic inflammation is the primary driver of both TNF release and barrier disruption. [93]. Meningitis germs cross the BBB via binding to the brain endothelium with cell wall components or bacterial pili [94]. Some CNS-tropic bacteria may easily traverse the BBB, whereas others cannot [95]. Brain endothelial cells expressing the toll-like receptor (TLR) may transport LPS and LTA from Gram-negative and gram-positive bacteria to the central nervous system [96]. Combining LPS with other neuropathological stimulants like Aβ or cytokines might cause neuronal-glial cell inflammation and brain dysfunction in NDs [97,98].
The P. gingivalis main toxins, cysteine protease or gingipains, impair adaptive immunity and escape detection. Bacteria may also move from the oral cavity to the CNS and use gingipain activity to cause AD owing to immune suppression and tissue death. Numerous studies show that P. gingivalis and Aβs co-localize in the brain and in vivo [99,100,101]. Recent research suggests oral P. gingivalis injections may lead to p-tau protein, Aβ aggregation, and microbial brain invasion in mice [102]. In mouse research, blocking gingipain decreased tau tangles, Aβ plaques, neuroinflammatory responses, and neuron death. AD and bacterial infection research have advanced by discovering small-molecule gingipaine antagonists. Serum antibodies to periodontal bacteria such as Eubacterium nodatum, Actinomyces naeslundii, and Prevotella intermedia are greater in AD samples before AD occurs [103,104]. Spirochetes, another major periodontitis cause, may penetrate the CNS and are linked to AD [105]. Genetic and immunological components from oral Treponema species, socranskii, and pectinovorum were found in Alzheimer’s disease brain tissue [106].
About 10% of the 70,000 known fungal species affect the brain, with 300 of those species potentially detrimental to human health [107]. Proteomics and genomics investigations have revealed that the brain tissues of Alzheimer’s patients contain DNA and fungal proteins [108]. Bacterial species found in the CNS coexist with fungus taxa Botrytis, Candida, Fusarium, and Malassezia in the disease’s samples, indicating a possible danger to PD pathophysiology from combined bacterial and fungal infections [109]. Furthermore, the fungus species Malassezia has been discovered in MS patients [110], and it may enter the central nervous system through macrophages [111]. The Trojan horse process, which involves transcellular and paracellular migration, allows fungi to infiltrate the central nervous system via the BBB, promoting endothelial cell transcytosis and transport-mediated phagocytosis associated with Trojan horses [112,113,114]. Fungal proteins interact with proteins in the BBB through both transcellular and paracellular routes, facilitating their translocation across brain microvascular endothelial cells, as demonstrated by Cryptococcus neoformans [115]. Candida albicans incorporation begins when a heat shock protein in the brain endothelial interacts with an agglutinin-like protein precursor (ALs3) on the cell surface adhesion [116].
Figure 3. The role of gut microbiota and metabolites in neuroinflammation and neurodegeneration. (1) Gut microbiota dysbiosis causes an increase in the production of (2) LPS and several other metabolites, which (3) damage intestinal epithelial cells and gut permeability, allowing (4) immune cell infiltration, which produces (5) ROS and proinflammatory cytokines that enter the bloodstream and affect the brain. (5) Due to inflammation and the formation of a significant level of ROS, the BBB is impaired, eventually leading to (6) neuroinflammation and neurodegeneration. Reprinted from [117], Copyright© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Figure 3. The role of gut microbiota and metabolites in neuroinflammation and neurodegeneration. (1) Gut microbiota dysbiosis causes an increase in the production of (2) LPS and several other metabolites, which (3) damage intestinal epithelial cells and gut permeability, allowing (4) immune cell infiltration, which produces (5) ROS and proinflammatory cytokines that enter the bloodstream and affect the brain. (5) Due to inflammation and the formation of a significant level of ROS, the BBB is impaired, eventually leading to (6) neuroinflammation and neurodegeneration. Reprinted from [117], Copyright© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Biomolecules 16 00790 g003

3.2. Oxidative Stress: Impact of Toxins on Oxidative Stress Pathways in Neurodegeneration

It has been established that oxidative stress is a common factor in neurodegenerative diseases. The mitochondria are an endogenous generator of ROS, which is a major cause of oxidative stress [118]. The term “oxidative stress” refers to the disturbance of the redox signaling pathway in cells as a result of a higher concentration of ROS than antioxidants [119]. Surprisingly, the CNS has a high oxygen need but a relatively low concentration of the enzymes needed to convert a variety of oxygen-based reactants into harmless species [120]. Conversely, the CNS is abundant in polyunsaturated fatty acids, which are easily oxidized by toxic oxygen compounds [121]. The BBB, which is intended to shield the brain from toxins by preventing their diffusion into neurons and glia, is another drawback. It also hinders or lessens the brain’s ability to absorb some antioxidants, such as vitamin E. 6-hydroxy-dopamine (6-OHDA), a recognized neurotoxin, is formed when dopamine is oxidized [122]. When consumed in extremely high doses, the stimulants methamphetamine (METH) and 3, 4-methylenedioxymethamphetamine (MDMA) also produce dopaminergic neurotoxicity [123]. Research suggests that the synthesis of deleterious oxygen-based radicals, especially from dopamine (DA), may represent a major contributor to methamphetamine’s neurotoxicity [124]. This notion is confirmed by research demonstrating that transgenic mice with increased superoxide dismutase activity are resistant to METH-induced toxicity [125]. Moreover, METH has been shown to cause a time-dependent rise in hydroxyl radicals in the brain [126], produce oxidative stress [127], and produce free radicals [128]. According to previous investigations, METH could damage the DAergic system by two key pathways: first, by causing hyperthermia, and second, by producing oxygen-mediated radicals and oxidative stress. These routes may interact with one another or influence each other, resulting in damage [123].
The Microbiota–Gut–Brain Axis demonstrates the relationship between gut health and mental and cognitive functioning in Figure 4, which highlights this relationship. A balanced diet, probiotics, and prebiotics support a healthy gut environment that fosters the growth of good microorganisms such as Lactobacillus and Bifidobacterium, which increase neurogenesis and neurochemical production (dopamine, serotonin, etc.), decrease neuroinflammation, and preserve the integrity of the BBB. Avoiding neurodegenerative diseases and maintaining cognitive abilities leads to a healthy CNS.

3.3. Toxin-Induced Protein Misfolding and Aggregation in Neurodegeneration

Due to protein homeostasis changes, many neurodegenerative diseases may be caused by protein misfolding and the aggregation of many proteins into insoluble fibrils [129]. All these disorders have high-ordered insoluble fibrils formed by mutant proteins in intra- or extracellular aggregates. The protein’s identity determines which neurons are pathologically affected and each disease’s symptoms. Protein aggregation reasons are still being investigated [130]. Numerous annular species in proteofibrobrillar AβARC, resulting from the ‘Arctic’ mutation in amyloid precursor protein, imply a membrane permeabilization-mediated mode of plaque-independent neurotoxicity. These species mimic bacterial cytolytic pore-forming toxins. Protofibrillar Aβ species with the Arctic (AβARC) mutation in the amyloid precursor protein, a variation that is known to accelerate the formation of protofibrils. The rapid and increased formation of protofibrillar intermediates in PD-linked mutant αSyn may indicate that these are neurotoxic species, similar to bacterial pore-forming toxins, suggesting a potential toxic-mediated neuronal death mechanism involving membrane permeabilization [131]. Soluble αSyn oligomers increase in PD brains, and polyunsaturated fatty acids enhance their production [132]. Next, dissect misfolded protein-related pathogenic pathways. Membrane permeabilization via a channel mechanism known for microbial toxins may be part of AD, PD, and HD pathogenic pathways [131,133].
A cytotoxic state known as oxidative stress arises when there is a reduction in the antioxidant capacity of the cell and an increase in the intracellular overproduction, or buildup, of reactive oxygen species. Hydrogen peroxide (H2O2) and Superoxide (O2) are two of the most prevalent types of ROS. Furthermore, the formation of reactive nitric oxide (NO) species is linked to H2O2. These species can combine with O2 to produce peroxynitrite (PN), an incredibly potent oxidizing agent [134]. CNS microglia generate ROS through intracellular peroxidases, mitochondrial oxidative activities, and Nicotinamide Adenine Dinucleotide Phosphate Hydrogen (NADPH) oxidase activity on the cell membrane [135,136].
AD has been reported to be linked to a number of infection sources, including bacteria, viruses, and fungi [137]. The development of microbiome dysbiosis or infection with many harmful bacterial species may have a role in the pathophysiology of AD by inducing robust inflammatory reactions or assisting in the synthesis of Aβ [138,139]. Unexpectedly, bacterial infections can also result in persistent systemic inflammatory responses that damage neurons and accumulate Aβ/tau, which aids in the onset and development of AD. There are five to ten times as many bacteria in the brains of AD patients as in the brains of healthy people; the distribution and makeup of the bacteria vary as well [140]. Furthermore, it has been documented that Gram-negative bacteria are able to penetrate the BBB and support the development of tau hyperphosphorylation, Aβ buildup, and neuroinflammation in the brain [141]. Gram-negative bacteria, such as Chlamydophila pneumonia and Proteobacteria, have been linked to severe systemic inflammation and the development of AD [142,143]. Byproducts from Gram-negative bacteria, including LPS, capsular proteins, fibrillin, and flagellins, can reach the brain and cause tau and Aβ pathology, as well as neuroinflammation [144].
LPS is a potent endotoxin found primarily in the outer membranes of Gram-negative bacteria [145]. The immune system responds sensitively to excessive quantities of LPS, which can cause sepsis and septic shock [146]. Furthermore, sepsis caused by LPS increases the likelihood of developing AD and cognitive impairment [147,148]. Notably, the level of LPS in the plasma of AD patients is 3 to 6 times greater than that of normal; in AD animal models, the level of LPS in the blood is roughly 3 times higher than normal as well [145,149,150]. The pro-inflammatory immunomodulation brought on by LPS is thought to have a lethal impact on AD pathogenesis [151].
The hydrophobic character of the aromatic amino acid peptides that make up the amyloid main sequence produced from amyloid precursor protein (APP) causes amyloid monomers to self-aggregate over time, forming dimers, oligomers, and fibrils. Neurodegenerative diseases like AD, PD, and prion disease are impacted by significant inflammatory reactions and neurodegeneration resulting from amyloid deposition in the brain [152]. Remarkably, a number of investigations have demonstrated the existence of amyloids made by bacteria [152,153,154] (Figure 5). The ability to form aggregates is one of the many physicochemical characteristics that bacterial amyloids share with the amyloids derived from humans [64,155]. Curli is a widely known Gram-negative bacterial amyloid [156]. It is a crucial component of the extracellular matrix biofilm that some enterobacterial strains, such as E. coli, create [157]. Remarkably, the bacterial amyloid and Aβ can attach to the same receptor because of their structural similarities. For instance, the bacterial amyloid from curli can attach to the TLR2-TLR1-CD14 (Toll-like receptor 2-Toll-like receptor 1-cluster of differentiation 14) complex, just like Aβ can. This binding helps to activate the NF-κB pathway, which is mediated by the activated B cells’ kappa light chain enhancer [158]. These results indicate that Gram-negative bacteria’s compounds may cause Aβ to be produced and aggregate, which could impact the development and course of AD and PD.
Additionally, pattern recognition receptors such as TLR-2 and 4 are impacted by exotoxins. Thus, bacterial imbalance and gut exotoxins impact neuronal cells’ function, which causes neuroinflammatory reactions, including microglial cell activation [159]. Inflammatory cytokines are released more frequently in response to gingipain and Gram-negative bacteria, which can cause neuronal death by stimulating the neural TLR4 signaling pathway, emphasizing the role of these bacteria in neurodegeneration [69].

3.4. Protein Aggregation

α-Syn (α-Syn), a 14 kDa protein linked to Parkinson’s disease, is common in human neural tissues. α-Syn maintains synaptic vesicles in presynaptic terminals; however, its mechanism is not fully known [160]. Although it is frequently seen in neurological diseases, protein aggregation is also linked to phenotypic plasticity in a wide range of species, including yeasts [161]. Phosphorylation at S129 of α-Syn is known to create aggregates characteristic of synucleinopathies; the role of phosphorylation in the biology and pathology of the protein remains debatable [162]. Phosphorylation was reported to decrease α-Syn toxicity and inclusion development in studies investigating the potential of budding yeast. Lewy bodies (LBs), a proteinaceous inclusion that is the primary cause of PD and other synucleinopathies, are characteristic pathological features of αSyn [163]. Interestingly, cells expressing S129A α-Syn had a lower clearance of α-Syn inclusions, which is correlated with inadequate autophagy activation. The discovery that phosphorylation affects cells’ capacity to remove α-Syn inclusions offers new light on the potential role phosphorylation may play in synucleinopathies. It also raises the possibility that posttranslational modifications serve as switches that cells use to regulate the aggregation and removal of important proteins, creating new opportunities for the development of treatment approaches for these debilitating conditions [164]. Iron levels in PD brains are pretty high and rise as the disease progresses [165]. Elevated iron levels may result from sequestration by eosinophilic protein aggregates, and iron has also been linked to αSyn aggregation promotion [166].
Fungal metabolites, known as mycotoxins, can infect humans and animals and cause a number of diseases. An additional connection between these fungus-derived metabolites and neurodegenerative diseases is becoming more and more apparent Table 2 [72]. Since fungi are found throughout the world, there is concern about people being exposed to their toxic secondary metabolites [167]. Mycotoxins are also secondary metabolites that some fungus species produce [168]. However, a growing body of research indicates that at least some mycotoxins are linked to neurodegenerative conditions like multiple sclerosis (MS), amyotrophic lateral sclerosis (ALS), Parkinson’s disease (PD), and Alzheimer’s disease (AD). The significance of evidence linking mycotoxins to specific neurodegenerative diseases varies widely. While mechanistic studies in cell culture systems and animal models have revealed biologically plausible pathways involving oxidative stress, mitochondrial dysfunction, neuroinflammation, and protein aggregation, direct epidemiological and clinical evidence in humans for most mycotoxin-disease associations remains limited. As a result, rather than being definitively causal, these associations should now be understood as hypothesis-generating.
Multiple sclerosis (MS): MS, a neurological disorder caused by the demyelination of neurons in the CNS, has been linked to mycotoxins [177]. MS appears to be caused by both genetic predisposition and environmental factors, with mycotoxins perhaps having an important role as part of the environmental “eco-exposome.” Mycotoxins like fumonisin B1 (FB1) may contribute to MS by altering sphingolipid production in neurons, resulting in demyelination [178,179]. Furthermore, a gliotoxic component detected in MS patients’ cerebrospinal fluid (CSF), probably connected to mycotoxin exposure, may promote glial cell death, compromising the BBB and activating an immunological response that further destroys myelin. While mycotoxins may not be the leading cause of MS, they are likely to work in tandem with hereditary and age-related variables to accelerate disease development [180,181,182].
Amyotrophic lateral sclerosis (ALS): There is suggestive evidence that plant-associated mycotoxin producers have a part in the development of amyotrophic lateral sclerosis (ALS), as shown by research that indicated an increased risk of ALS for farm workers and athletes who played on grass [183]. A number of fungi belonging to the genera Fusarium, Trichoderma, Botrytis, Candida, Cryptococcus, Malassezia, and Penicillium were found in the brain and cerebrospinal fluid (CSF) of individuals with amyotrophic lateral sclerosis (ALS) by the use of slot-blot, polymerase chain reaction (PCR), and proteomic analysis [184]. However, these fungi were not found in samples produced by healthy controls. In the majority of cases of amyotrophic lateral sclerosis (ALS), individuals had mixed fungal infections with many types. This evidence may suggest that a variety of fungi are capable of causing pathomechanisms that lead to amyotrophic lateral sclerosis [185]. ALS is characterized by an excessive release of glutamate (Glu) from neurons, which leads to excitotoxicity via the overactivation of Glu receptors and eventually ends in the death of motor neurons [186]. This is a well-known hallmark of ALS. Additionally, Glu is responsible for translocating the 43 kDa transactive response DNA binding protein (TDP-43) into the nucleus. This process results in the formation of cellular inclusion bodies, a prominent clinical feature of sporadic amyotrophic lateral sclerosis (ALS). Because of the relationship between TDP-43 and ALS [187], this is in line with the multi-ubiquitinylation of TDP-43. It is also possible that the mutant Copper/Zinc Superoxide Dismutase 1 (Cu/Zn-SOD1) in familial ALS patients may work in conjunction with the toxins [188]. This is because an increase in Glu causes the mutant protein to become more toxic. A minor increase in glutamate levels brought on by mycotoxins, which normally would not be sufficient to cause amyotrophic lateral sclerosis (ALS), may thus already be accountable for neurotoxic effects and muscle atrophy in individuals who have a hereditary vulnerability to the disease [189].
Parkinson’s disease (PD): In the 1980s, aflatoxins had been used in bioweapons during the first Gulf War [190], and there was an increased ALS incidence among returning veterans [191]. Thus, Sava et al. proposed that mycotoxin exposure could act as an environmental trigger associated with warfare that eventually causes humans to develop neurodegenerative diseases [192]. To demonstrate this, they administered mice with Ochratoxin A (OTA), another mycotoxin generated from Aspergillus that functions similarly to aflatoxins. Over the course of a two-week infusion period, animals were given cumulative doses of 4–16 mg/kg OTA by subcutaneously implanted minipumps. Both an increase in the brain’s anti-oxidative mechanisms and a dose-dependent decrease in striatal dopamine were noted. However, there were no signs of rigidity or delayed movements that would indicate Parkinsonism [193]. In contrast, following extensive behavioral examinations, PD-related behavior was discovered in another study looking into acute OTA poisoning. Therefore, it is possible to hypothesize that OTA exposure at low doses that coincide with the typical age-related drop in striatal dopamine (DA) may cause PD to manifest earlier than expected [194].
Alzheimer’s disease (AD): According to the infection theory associated with AD, individuals with AD have compromised immune systems and the BBB, making them more vulnerable to microbial infections that can lead to persistent neuroinflammation and neurodegeneration [195]. Further research into elevated levels of fungal polysaccharides and antifungal antibodies in AD patients’ blood sera, positive immunohistochemical staining, PCR tests, and fungal DNA sequencing from postmortem brains of AD patients provides more direct evidence [196]. Fungal species from Botrytis, Candida, Alternaria, Fusarium, Cryptococcus, Cladosporium, and Saccharomyces genera were discovered. Another investigation by the same group identified a subset of these fungal species in the CSF of AD patients [108,197]. Another study by the same group examined the CSF of AD patients and identified a subset of these fungal species [198]. The fungi’s mycotoxins may have exposed the host, although it remained unclear. As a result, more research will be needed to determine whether fungal infections and mycotoxins may have a causal involvement in AD. Further evidence suggests that some of these substances are even utilized to create mouse models of neurodegenerative disorders, which lends even more credence to the connection between mycotoxins and neurodegenerative diseases. For instance, the application of 3-nitropropionic acid (3-NP) is the basis of the HD model [199].
The role of PRRs and CARD9 signaling in fungus identification: Pattern recognition receptors (PRRs) that recognize pathogen-associated molecular patterns are the first step in initiating fungal infections, which are brought on by invading bacteria. Fungal infections are more likely due to mutations in the CARD9 gene, which have been connected to invasive fungal infections and persistent mucocutaneous candidiasis [200]. The pathogen Candida albicans depends on dendritic cells as its main source of PRR expression, which is essential for the pathogen to survive. PAMPs are present in many microorganisms, including Aspergillus and Candida species, and are located in the cell wall of Candida albicans. They are crucial for pathogen-host interactions [201]. Because Aspergillus, Candida albicans, and Cryptococcus differ in composition, the immune system might not recognize them. During germination, the chitin-rich wall of Aspergillus becomes hydrophobic, whereas the exopolysaccharide capsule of Cryptococcus stops PRRs from identifying its PAMPs. To effectively treat fungal infections, different PRRs set off the appropriate cellular responses and signals [202]. There are distinct PRRs that are expressed on various cells, and these PRRs can identify fungal invaders and activate efficient signaling pathways and cellular responses, according to Figure 6.

3.5. Direct Neurotoxicity

The term “neurotoxicity” describes the direct or indirect effects of substances that cause harm to an animal’s or a human’s nervous system. One of the strongest neurotoxins known to humans is botulinum toxin [204].
Botulinum-derived neurotoxins inhibit acetylcholine release at the peripheral neuromuscular junction (NMJ), leading to denervation and altered muscle tone. They strongly impede transmitter ablation and synaptic vesicle fusion [205]. BoNTs (Botulinum neurotoxins) also assist in keeping neurotransmitters other than ACh and other neurotransmitters in the NMJ. According to ample evidence, BoNTs also affect the PNS and CNS [206]. BoNTs in exocrine glands limit the release of CGRP, a cholinergic neurotransmitter that affects both cholinergic neuromuscular release and autonomic innervation, depending on the target tissue [207].
BoNTs are a viable treatment alternative since they provide benefits for disorders involving the release of excitatory neurotransmitters, which require muscle hyperactivity, and urological difficulties [208], or persistently uncomfortable circumstances [209], including migraines and headaches [210,211] and excruciating skeletal [212] or neuropathic states [213]. Despite multiple animal model studies showing their therapeutic potential, a major impediment prevents their clinical usage in people with cerebral neuronal hyperactivity-related CNS diseases. BoNTs are still the most powerful natural toxin, limiting their use in the brain for safety reasons. The BoNTs’ protein structure has two domains: one for binding and translocating, and the other for retaining the protease required to cleave the target Soluble NSF Attachment Protein Receptor (SNARE) proteins. This bi-chain structure allows the creation of chimeric proteins with binding and translocation domains engineered to reach well-defined CNS locations without the risk of botulinum neurotoxin (BoNT) systemic dissemination. Due to extensive research, several chimeric proteins have been created to re-target BoNTs to non-muscular sites [214,215,216,217,218,219,220,221,222,223,224].
The neuroparalytic disease known as botulism affects both humans and animals. It is caused by the botulinum neurotoxins that are generated by Clostridium botulinum, as well as by uncommon strains of C. butyricum and C. baratii. The capacity of botulinogenic clostridia to generate resistant endospores accounts for their widespread distribution in nature [225]. However, because BoNTs induce botulism, axonal transit from the PNS to the CNS may be lethal upon peripheral administration [205]. The most toxic proteins known to humans, botulinum neurotoxins, are a class of seven immunologically unique proteins (types A-G) generated by various strains of the anaerobic bacterium Clostridium botulinum. The molecular process comprises five steps that explain the neuroparalytic effects of BoNTs and tetanus neurotoxin (TeNT), as shown in Figure 7.

3.6. Mitochondrial Dysfunction and Apoptosis

Mitochondria, the power cells, may malfunction and cause many diseases. Mycotoxins, fungi’s secondary metabolites, may kill people and animals [227]. Citrinin, aflatoxin, and T-2 toxin cause mitochondrial dysfunction in test systems with multi-edged sword-like effects. Even at modest dosages, mycotoxins may produce oxidative stress, which may cause mitochondrial failure [228]. Low electron transport chain (ETC) efficiency and low ATP production characterize mitochondrial dysfunction [229]. The characteristics of aging are essential for all chronic diseases [230]. Mitochondrial disintegration is linked to neurodegenerative diseases such as Alzheimer’s, Parkinson’s, Huntington’s, and Friedreich’s ataxia [231]. Neurobehavioral and mental problems such as autism spectrum disorder, schizophrenia, bipolar disorder, and mood disorders are also dependent on mitochondrial dysfunction [232]. Mycotoxins are secondary metabolites, a structurally varied collection of generally low molecular weight chemicals produced by various molds or fungi [233]. In vitro, steroidogenesis in cultured adrenocortical carcinoma cells may need mitochondria and cholesterol sources. ACTH stimulates basal steroidogenic activity in cultured adrenocortical tumor cells, but moderate to high doses of cytochalasin B decrease both [234]. Aspergillus ochraceus produces ochratoxin A, a mycotoxin that is phytotoxic, teratogenic, nephrotoxic, and immunotoxic. Ochratoxin A (0.5 and 1 mM) and oosporein (0.25–1 mM) caused nephrotoxicity via lipid peroxidation or mitochondrial dysfunction. In isolated rat renal proximal tubules, ochratoxin A caused cell death and mitochondrial dysfunction [235]. However, it affected rat trachea Ca2+ homeostasis, presumably blocking mitochondrial enzymes and producing toxicity [236].
This mycotoxin also enhanced ROS, damaged mitochondria, and produced structural impairment in Arabidopsis thaliana [237]. Similar to how OTA causes an increase in respiration and a rise in the production of reactive oxygen species (ROS) inside the mitochondria, this also causes the opening of mitochondrial permeability transition pores that are reliant on ROS. As a result, cytochrome c was released into the cytosol, and the potential of the mitochondrial membrane decreased [238], causing an intrinsic apoptosis pathway.
Mammalian cells are susceptible to gliotoxin, a secondary metabolite produced by Aspergillus fumigatus. It causes the generation of ROS and the release of apoptogenic chemicals from the mitochondria, activating caspase-3 and inducing apoptosis via increasing the proapoptotic Bcl-2 family member Bak rather than Bax (Figure 8) [239]. Furthermore, this mycotoxin produced mitochondrial malfunction and ROS in Nicotiana tabacum BY2 cultured cells, resulting in transcriptional downregulation of the alternative oxidase (Aox1) gene and ion channel activity regulation, contributing to cell shrinkage. These pathways might have been implicated in activating programmed cell death [240].
The mycotoxin ochratoxin A (OTA), generated by Aspergillus and Penicillium subspecies, is a typical food and feed contaminant [175]. According to recent studies, OTA may also affect the neural system [241,242]. Based on rodent studies, OTA passes the BBB and accumulates in most brain areas over time and with concentration [192]. Both in vitro and in vivo evidence indicate the role of oxidative stress in OTA-mediated cytotoxicity [243,244,245,246,247,248].
The intricate processes by which OTA works encompass oxidative stress induction, mitochondrial dysfunction, bioenergetic compromise, protein synthesis suppression, DNA single-strand breakage, and OTA-DNA adduct formation [242,249]. The bioenergetic imbalance that is brought about by OTA may be the source of the development of free radicals and ROS, which in turn causes significant oxidative damage to DNA, lipids, and proteins via the synthesis of oxygen-free radicals and nitric oxide [250,251]. OTA causes oxidative stress, mitochondrial damage, and apoptosis, which are factors in neurological diseases like Parkinson’s and Alzheimer’s. Its effects include reduced DNA damage, decreased protein synthesis, and neurotoxicity, particularly in areas such as the hippocampus, which plays a critical role in neurodegeneration. Exposure to OTA has been associated with a connection to the pathogenesis of neurodegenerative diseases due to its potential to cause cognitive impairments, depression, and decreased neurogenesis [71].

3.7. Prion-like Behavior

According to Stanley B. Prusiner, the term “prion” refers to the infectious agent that causes transmissible spongiform encephalopathies (TSEs). Prusiner describes the prion as “a small proteinaceous infectious particle that is resistant to inactivation by most procedures that modify nucleic acids” [252]. Transmissible spongiform encephalopathies (TSEs) are a group of neurodegenerative diseases that are deadly in all cases. These disorders affect not just humans but also a wide variety of animals. TSEs are caused by an infectious agent known as the prion, which is a protein that is abnormally folded and aggregated. It spreads by imposing its form onto the host’s cellular prion protein (PrPC), which is responsible for the infection [73]. When scrapie prion protein (PrPSc) undergoes a structural shift from PrPC, it gives rise to a group of neurodegenerative diseases known as prion diseases. PrPC is involved in both the process of prion replication and prion-induced neurodegeneration [253]. There are undoubtedly multiple ways in which prions are different from all other known infectious diseases. First, it does not seem that prions have a genome of informative nucleic acids more extended than 50 bases that code for their offspring [254]. Second, a mutated version of the cellular prion protein, PrPC, encoded by the gene Prnp, is the only known component of the prion. PrPC is a cell surface glycoprotein [255] of unknown function that has been found in all Xenopus laevis species as well as all mammals and birds [256] and fish [257]. Third, the structural transformation of PrPC into PrPSc, an insoluble, largely protease-resistant isoform that spreads by forcing its aberrant conformation onto PrPC molecules, is the key event in prion disease. Several studies have demonstrated the significance of PrPC in both prion replication and prion-induced neurodegeneration [258]. According to the findings, transgenic animals expressing solely a secreted version of PrPC missing a glycosylphosphatidylinositol (GPI) anchor do not develop clinical indications of prion disease, despite the fact that prion inoculation stimulates PrPSc production and amyloid plaque aggregation [259]. Prion disease is characterized by extensive neurodegeneration; therefore, affected individuals show clinical symptoms of both cognitive and motor impairment. In addition, the disease is defined by the spread of infectious prions and, in many cases, the production of amyloid plaques [73]. Prion-like amyloids, like yeast, can also be seen in lower eukaryotes [260]. Eukaryotic Polypeptide Chain Release Factor 3 (eRF3), also known as Sup35p (eukaryotic translation release factor of S. cerevisiae), is the translation termination factor in yeast. The most well-studied yeast prions are the [PSI+] prion yeast from Saccharomyces cerevisiae and the [PSI+] prion state of eRF3 [261]. The percentage at which PrPSc forms and, thus, the duration of the incubation period appear to be inversely correlated with the degree of PrPC expression. Prnpo/o mice do not spread the scrapie virus and are resistant to prions [262]. When Sup35p is transformed into the [PSI+] prion, its function is diminished, leading to an incorrect translation termination process. As a consequence, the prion form causes proofreading of mRNA termination codons. Polypeptides with longer C-termini and altered functions were assumed to be produced by [PSI+], increasing the phenotypic plasticity of yeast and its resistance to harsh conditions [263]. Various prion-forming domains can be encoded by the yeast genome, resulting in various prion protein variations or phenotypes. As seen in Figure 9, most yeast prions are self-replicating [264,265].
Owing to particular theories, prion-like mechanisms have a role in neurodegenerative diseases like ALS, Parkinson’s, and Alzheimer’s. These disorders are thought to be caused by aberrant proteins like tau, αSyn, and TDP-43, which change normal proteins into harmful variants and spread cell-to-cell in the brain [266]. This prion-like propagation might explain the degeneration of subsets of neurons, the various but characteristic pathologies, and the disease’s development. It is the fundamental molecular mechanism of the many major neurodegenerative disorders with amyloid-like aberrant protein pathologies [267]. Thus, controlling the spread of aberrant proteins is a crucial objective for treating these severe neurodegenerative diseases.
This concept describes how superoxide dismutase 1 (SOD1) aggregates and propagates like a prion in ALS in Figure 9. SOD1 grows in the native folding process (green) by binding Zn and Cu, resulting in a stable enzyme via dimerization. In the off-folding route (red), ALS-related mutations cause misfolding, driving SOD1 into unstable phases. These misfolded proteins recruit more SOD1, resulting in oligomers that assemble. These aggregates may acquire strain-like qualities, and fragments of these strains can spread to neighboring cells, causing additional misfolding.

4. Conclusions and Future Perspectives

In conclusion, scientists are becoming increasingly aware of the intricate relationship between neurodegenerative diseases and microbial toxins. The slow loss of neurons and synapses in neurodegenerative disorders threatens global health. Microbial toxins, produced by many bacteria and fungi, have offered new insights into these diseases. In addition to infecting, these poisons may cause neurodegeneration. Academic research suggests that microbial toxins may affect brain homeostasis by activating inflammatory pathways, oxidative stress, and protein misfolding. Gram-negative bacteria generate LPS that may cause CNS inflammation and neuron damage. Neurodegenerative protein aggregation has also been related to fungal toxins like Candida albicans. These proteins include Alzheimer’s amyloid-beta and PD α-Syn. Multiple neurodegenerative diseases have been linked to gut microbiota dysbiosis. General health depends on the gut microbiome. Altering gut microbiota may boost the generation of toxins and chemicals that compromise the gut barrier, increasing intestinal permeability. This condition makes pro-inflammatory molecules easier to circulate, which may affect the brain and worsen neurodegeneration. In particular, neurodegenerative diseases commonly cause gastrointestinal symptoms, demonstrating the link between gut health and nervous system function. Another factor is that microbial toxins may contribute to neurodegenerative processes via various mechanisms. For instance, bacterial toxins activate immune system PRRs, triggering an inflammatory cascade that damages brain structures. This approach emphasizes the immune regulation’s potential to reduce microbial pathogen neurotoxicity. Innovative therapies that boost immune response or misfolded protein clearance may be promising.
Nanotechnology and gene therapy provide new opportunities for personalized therapies. These methods directly transport therapeutic medications to wounded central nervous system locations, bypassing the blood–brain barrier. Immunotherapy may also control microbial toxic immunological responses, lowering neuroinflammation and maintaining neuronal function. Infections produced by bacteria and fungi combined may be serious. Some CNS fungal species cohabit with bacteria. These communities’ interactions may boost neurotoxic drug effects. Understanding the synergistic relationships between bacteria may illuminate novel disease development pathways and provide intervention options. This debate must also include the significance of mitochondrial dysfunction in neurodegenerative diseases. Many mycotoxins and bacterial toxins affect mitochondrial function, causing oxidative stress and neuron loss. Addressing mitochondrial health via lifestyle modifications, dietary therapies, and pharmacological methods may help control neurodegenerative diseases.
Neurology, immunology, and microbiology must be combined to understand these complex interactions. Further research will reveal how microbial poisons affect neurodegenerative processes, which may inspire new preventative and therapeutic methods. Environmental, microbiological, and biological factors must be addressed to improve patient outcomes and quality of life for neurodegenerative disease patients. If we understand these links, we may develop novel neurodegenerative treatments and stay at the forefront of research and therapy. Toxin-induced neurodegeneration’s molecular pathways and particular microbial toxins that cause disease pathology need additional study. High-throughput sequencing, metabolomics, and computational modeling will enable gut microbiota composition and toxin production dynamics characterization in health and illness. These technologies will allow researchers to detect disease-risk microbial biomarkers, assess therapy responses, and create patient-specific therapeutic regimens. Microbiologists, neuroscientists, immunologists, and doctors must collaborate to advance this discipline. Preclinical animal models and humanized microbiota systems will illuminate the links between microbial toxins and neurodegenerative disorders. Probiotic, nutritional, and FMT clinical studies must provide evidence-based treatment recommendations.

Author Contributions

A.A.S.: Conceptualization, literature search, writing—original draft and editing; F.K.: Conceptualization, supervision, review, writing, and editing; M.S.: Conceptualization, supervision, funding, writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within the article.

Conflicts of Interest

The authors declare that they have no conflicts of interest. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Abbreviations

LPSLipopolysaccharide
BBBblood–brain barrier
ADAlzheimer’s disease
PDParkinson’s disease
HDHuntington’s disease
ALSamyotrophic lateral sclerosis
PRRsexpress pattern recognition receptors
TLRstoll-like receptors
ROSreactive oxygen species
GIgastrointestinal
α-SynAlpha-synuclein
ASDAutism spectrum disorder
IL-10Interleukin-10
IL-6interleukin-6
IL-17interleukin-17
IFN-γinterferon-gamma
MSMultiple sclerosis
LTAlipoteichoic acid
TLRtoll-like receptor
6-OHDA6-hydroxy-dopamine
MDMA4-methylenedioxymethamphetamine
DAdopamine
CNScentral nervous system
O2Superoxide
H2O2hydrogen peroxide
NOnitric oxide
PNperoxynitrite
NADPHNicotinamide Adenine Dinucleotide Phosphate Hydrogen
APPamyloid precursor protein
TLR2Toll-like receptor 2
TLR1Toll-like receptor 1
CD14cluster of differentiation 14
MGmethylglyoxal
FB1fumonisin B1
CSFcerebrospinal fluid
PCRpolymerase chain reaction
TDP-43transactive response DNA binding protein 43
Cu/Zn-SOD1Copper/Zinc Superoxide Dismutase 1
OTAOchratoxin A
3-NP3-Nitropropionic
PRRsPattern recognition receptors
PAMPspathogen-associated molecular patterns
CARD9Caspase Recruitment Domain-containing protein 9
CLRsC-type lectin receptors
SYKSpleen Tyrosine Kinase
DC-SIGNDendritic Cell-Specific Intercellular adhesion molecule-3-Grabbing Non-integrin
NKp30Natural Killer Cell p30-Related Protein
NKp46Natural Killer Cell p46-Related Protein
BoNTsbotulinum neurotoxins
NMJneuromuscular junction
Achacetylcholine
PNSperipheral nervous systems
CGRPCalcitonin Gene-Related Peptide
SNARESoluble NSF Attachment Protein Receptor
TeNTtetanus neurotoxins
ETCelectron transport chain
ATPadenosine-5′-triphosphate
ACTHAdrenocorticotropic Hormone
Aox1alternative oxidase
BAXBcl-2-associated X protein
CVDscardiovascular diseases
GSK3βglycogen synthase kinase-3 beta
MAPKmitogen-activated protein kinase
PTPOpermeability transition pore
TSEstransmissible spongiform encephalopathies
PrPCcellular prion protein
PrPScscrapie prion protein
GPIglycosylphosphatidylinositol
eRF3Eukaryotic Polypeptide Chain Release Factor 3
SOD1superoxide dismutase 1

References

  1. Zahra, W.; Rai, S.N.; Birla, H.; Singh, S.S.; Dilnashin, H.; Rathore, A.S.; Singh, S.P. The global economic impact of neurodegenerative diseases: Opportunities and challenges. In Bioeconomy for Sustainable Development; Springer Nature: Singapore, 2020; pp. 333–345. [Google Scholar]
  2. Pasko, V.I.; Churkina, A.S.; Shakhov, A.S.; Kotlobay, A.A.; Alieva, I.B. Modeling of neurodegenerative diseases: ‘step by step’ and ‘network’ organization of the complexes of model systems. Int. J. Mol. Sci. 2022, 24, 604. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  3. Seo, D.-o.; Holtzman, D.M. Current understanding of the Alzheimer’s disease-associated microbiome and therapeutic strategies. Exp. Mol. Med. 2024, 56, 86–94. [Google Scholar] [CrossRef] [Scilit]
  4. Wang, Y.; Du, W.; Hu, X.; Yu, X.; Guo, C.; Jin, X.; Wang, W. Targeting the blood–brain barrier to delay aging-accompanied neurological diseases by modulating gut microbiota, circadian rhythms, and their interplays. Acta Pharm. Sin. B 2023, 13, 4667–4687. [Google Scholar] [CrossRef] [Scilit]
  5. Martin, C.R.; Osadchiy, V.; Kalani, A.; Mayer, E.A. The brain-gut-microbiome axis. Cell. Mol. Gastroenterol. Hepatol. 2018, 6, 133–148. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  6. Navale, V.; Vamkudoth, K.R.; Ajmera, S.; Dhuri, V. Aspergillus derived mycotoxins in food and the environment: Prevalence, detection, and toxicity. Toxicol. Rep. 2021, 8, 1008–1030. [Google Scholar] [CrossRef] [Scilit]
  7. Popoff, M.R.; Poulain, B. Bacterial toxins and the nervous system: Neurotoxins and multipotential toxins interacting with neuronal cells. Toxins 2010, 2, 683–737. [Google Scholar] [CrossRef] [Scilit]
  8. Lamptey, R.N.; Chaulagain, B.; Trivedi, R.; Gothwal, A.; Layek, B.; Singh, J. A review of the common neurodegenerative disorders: Current therapeutic approaches and the potential role of nanotherapeutics. Int. J. Mol. Sci. 2022, 23, 1851. [Google Scholar] [CrossRef] [Scilit]
  9. Buchman, A.S.; Bennett, D.A. Loss of motor function in preclinical Alzheimer’s disease. Expert Rev. Neurother. 2011, 11, 665–676. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  10. Rajmohan, R.; Reddy, P.H. Amyloid-beta and phosphorylated tau accumulations cause abnormalities at synapses of Alzheimer’s disease neurons. J. Alzheimer’s Dis. 2017, 57, 975–999. [Google Scholar] [CrossRef] [Scilit]
  11. Sharma, A.; Nair, A.; Dedhia, D. Parkinson’s disease: Epidemiology, pathophysiology, diagnosis, and treatment. In Proteostasis: Investigating Molecular Dynamics in Neurodegenerative Disorders; Springer: Berlin/Heidelberg, Germany, 2025; pp. 73–91. [Google Scholar]
  12. Tiryaki, E.; Horak, H.A. ALS and other motor neuron diseases. Contin. Lifelong Learn. Neurol. 2014, 20, 1185–1207. [Google Scholar] [CrossRef] [Scilit]
  13. Houldsworth, A. Role of oxidative stress in neurodegenerative disorders: A review of reactive oxygen species and prevention by antioxidants. Brain Commun. 2024, 6, fcad356. [Google Scholar] [CrossRef] [Scilit]
  14. Chen, Y.; Wu, X.; Xu, C.; Huang, J.; Zhang, L.; Qiu, P.; Zheng, D.; Chen, W.; Zhang, S. Pathogen virulence genes: Advances, challenges and future directions in infectious disease research. Int. J. Mol. Med. 2025, 56, 173. [Google Scholar] [CrossRef] [Scilit]
  15. Huangfu, B.; Chen, Y.; Xu, T.; Huang, K.; Liang, Z.; He, X. Mycotoxins and non-communicable diseases: Exacerbation and susceptibility. Crit. Rev. Food Sci. Nutr. 2025, 22, 1–17. [Google Scholar] [CrossRef] [Scilit]
  16. Poulain, B.; Molgó, J.; Popoff, M.R. Clostridial neurotoxins: From the cellular and molecular mode of action to their therapeutic use. In The Comprehensive Sourcebook of Bacterial Protein Toxins; Elsevier: Amsterdam, The Netherlands, 2015; pp. 287–336. [Google Scholar]
  17. Mello, F.D.; Braidy, N.; Marçal, H.; Guillemin, G.; Nabavi, S.M.; Neilan, B.A. Mechanisms and effects posed by neurotoxic products of cyanobacteria/microbial eukaryotes/dinoflagellates in algae blooms: A review. Neurotox. Res. 2018, 33, 153–167. [Google Scholar] [CrossRef] [Scilit]
  18. Kalyan, M.; Tousif, A.H.; Sonali, S.; Vichitra, C.; Sunanda, T.; Praveenraj, S.S.; Ray, B.; Gorantla, V.R.; Rungratanawanich, W.; Mahalakshmi, A.M. Role of endogenous lipopolysaccharides in neurological disorders. Cells 2022, 11, 4038. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  19. Yan, J.; Fu, Q.; Cheng, L.; Zhai, M.; Wu, W.; Huang, L.; Du, G. Inflammatory response in Parkinson’s disease. Mol. Med. Rep. 2014, 10, 2223–2233. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  20. Di Gregorio, S.E.; Duennwald, M.L. Yeast as a model to study protein misfolding in aged cells. FEMS Yeast Res. 2018, 18, foy054. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  21. Tulisiak, C.T.; Mercado, G.; Peelaerts, W.; Brundin, L.; Brundin, P. Can infections trigger alpha-synucleinopathies? Prog. Mol. Biol. Transl. Sci. 2019, 168, 299–322. [Google Scholar] [PubMed]
  22. Lehnardt, S. Innate immunity and neuroinflammation in the CNS: The role of microglia in Toll-like receptor-mediated neuronal injury. Glia 2010, 58, 253–263. [Google Scholar] [CrossRef] [Scilit]
  23. Fischer, R.; Maier, O. Interrelation of oxidative stress and inflammation in neurodegenerative disease: Role of TNF. Oxidative Med. Cell. Longev. 2015, 2015, 610813. [Google Scholar] [CrossRef] [Scilit]
  24. Yang, N.J.; Chiu, I.M. Bacterial signaling to the nervous system through toxins and metabolites. J. Mol. Biol. 2017, 429, 587–605. [Google Scholar] [CrossRef] [Scilit]
  25. Dai, C.; Xiao, X.; Sun, F.; Zhang, Y.; Hoyer, D.; Shen, J.; Tang, S.; Velkov, T. T-2 toxin neurotoxicity: Role of oxidative stress and mitochondrial dysfunction. Arch. Toxicol. 2019, 93, 3041–3056. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  26. Shahnawaz, M.; Park, K.-W.; Mukherjee, A.; Diaz-Espinoza, R.; Soto, C. Prion-like characteristics of the bacterial protein Microcin E492. Sci. Rep. 2017, 7, 45720. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  27. Fang, P.; Kazmi, S.; Jameson, K.; Hsiao, E. The microbiome as a modifier of neurodegenerative disease risk. Cell Host Microbe 2020, 28, 201–222. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  28. Niazi, S.K. Non-invasive drug delivery across the blood–brain barrier: A prospective analysis. Pharmaceutics 2023, 15, 2599. [Google Scholar] [CrossRef] [Scilit]
  29. Rinninella, E.; Raoul, P.; Cintoni, M.; Franceschi, F.; Miggiano, G.A.D.; Gasbarrini, A.; Mele, M.C. What is the healthy gut microbiota composition? A changing ecosystem across age, environment, diet, and diseases. Microorganisms 2019, 7, 14. [Google Scholar] [CrossRef] [Scilit]
  30. Alvarenga, L.; Kemp, J.A.; Baptista, B.G.; Ribeiro, M.; Lima, L.S.; Mafra, D. Production of Toxins by the Gut Microbiota: The Role of Dietary Protein. Curr. Nutr. Rep. 2024, 13, 340–350. [Google Scholar] [CrossRef] [Scilit]
  31. Forsyth, C.B.; Shannon, K.M.; Kordower, J.H.; Voigt, R.M.; Shaikh, M.; Jaglin, J.A.; Estes, J.D.; Dodiya, H.B.; Keshavarzian, A. Increased intestinal permeability correlates with sigmoid mucosa alpha-synuclein staining and endotoxin exposure markers in early Parkinson’s disease. PLoS ONE 2011, 6, e28032. [Google Scholar] [CrossRef] [Scilit]
  32. Chen, Y.-Y.; Chen, D.-Q.; Chen, L.; Liu, J.-R.; Vaziri, N.D.; Guo, Y.; Zhao, Y.-Y. Microbiome–metabolome reveals the contribution of gut–kidney axis on kidney disease. J. Transl. Med. 2019, 17, 5. [Google Scholar] [CrossRef] [Scilit]
  33. Nedungadi, P.; Shah, S.M.; Stokes, M.A.; Kumar Nair, V.; Moorkoth, A.; Raman, R. Mapping autism’s research landscape: Trends in autism screening and its alignment with sustainable development goals. Front. Psychiatry 2024, 14, 1294254. [Google Scholar] [CrossRef] [Scilit]
  34. Mair, R.D.; Sirich, T.L.; Plummer, N.S.; Meyer, T.W. Characteristics of colon-derived uremic solutes. Clin. J. Am. Soc. Nephrol. 2018, 13, 1398–1404. [Google Scholar] [CrossRef] [Scilit]
  35. Kikuchi, M.; Ueno, M.; Itoh, Y.; Suda, W.; Hattori, M. Uremic toxin-producing gut microbiota in rats with chronic kidney disease. Nephron 2017, 135, 51–60. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  36. Ramezani, A.; Massy, Z.A.; Meijers, B.; Evenepoel, P.; Vanholder, R.; Raj, D.S. Role of the gut microbiome in uremia: A potential therapeutic target. Am. J. Kidney Dis. 2016, 67, 483–498. [Google Scholar] [CrossRef] [Scilit]
  37. Gryp, T.; De Paepe, K.; Vanholder, R.; Kerckhof, F.-M.; Van Biesen, W.; Van de Wiele, T.; Verbeke, F.; Speeckaert, M.; Joossens, M.; Couttenye, M.M. Gut microbiota generation of protein-bound uremic toxins and related metabolites is not altered at different stages of chronic kidney disease. Kidney Int. 2020, 97, 1230–1242. [Google Scholar] [CrossRef] [Scilit]
  38. Popkov, V.A.; Zharikova, A.A.; Demchenko, E.A.; Andrianova, N.V.; Zorov, D.B.; Plotnikov, E.Y. Gut microbiota as a source of uremic toxins. Int. J. Mol. Sci. 2022, 23, 483. [Google Scholar] [CrossRef] [Scilit]
  39. Hida, M.; Aiba, Y.; Sawamura, S.; Suzuki, N.; Satoh, T.; Koga, Y. Inhibition of the accumulation of uremic toxins in the blood and their precursors in the feces after oral administration of Lebenin®, a lactic acid bacteria preparation, to uremic patients undergoing hemodialysis. Nephron 1996, 74, 349–355. [Google Scholar] [CrossRef] [Scilit]
  40. Wong, J.; Piceno, Y.M.; DeSantis, T.Z.; Pahl, M.; Andersen, G.L.; Vaziri, N.D. Expansion of urease-and uricase-containing, indole-and p-cresol-forming and contraction of short-chain fatty acid-producing intestinal microbiota in ESRD. Am. J. Nephrol. 2014, 39, 230–237. [Google Scholar] [CrossRef] [Scilit]
  41. Hatch, M.; Freel, R.W.; Vaziri, N. Intestinal excretion of oxalate in chronic renal failure. J. Am. Soc. Nephrol. 1994, 5, 1339–1343. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  42. Dunn, S.R.; Gabuzda, G.M.; Superdock, K.R.; Kolecki, R.S.; Schaedler, R.W.; Simenhoff, M.L. Induction of creatininase activity in chronic renal failure: Timing of creatinine degradation and effect of antibiotics. Am. J. Kidney Dis. 1997, 29, 72–77. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  43. Miller, A.W.; Dearing, D. The metabolic and ecological interactions of oxalate-degrading bacteria in the mammalian gut. Pathogens 2013, 2, 636–652. [Google Scholar] [CrossRef] [Scilit]
  44. Park, J.; Kim, C.H. Regulation of common neurological disorders by gut microbial metabolites. Exp. Mol. Med. 2021, 53, 1821–1833. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  45. Wasilewska, J.; Klukowski, M. Gastrointestinal symptoms and autism spectrum disorder: Links and risks–a possible new overlap syndrome. Pediatr. Health Med. Ther. 2015, 6, 153–166. [Google Scholar] [CrossRef] [Scilit]
  46. Teskey, G.; Anagnostou, E.; Mankad, D.; Smile, S.; Roberts, W.; Brian, J.; Bowdish, D.M.; Foster, J.A. Intestinal permeability correlates with behavioural severity in very young children with ASD: A preliminary study. J. Neuroimmunol. 2021, 357, 577607. [Google Scholar] [CrossRef] [Scilit]
  47. Hsiao, E.Y.; McBride, S.W.; Hsien, S.; Sharon, G.; Hyde, E.R.; McCue, T.; Codelli, J.A.; Chow, J.; Reisman, S.E.; Petrosino, J.F. Microbiota modulate behavioral and physiological abnormalities associated with neurodevelopmental disorders. Cell 2013, 155, 1451–1463. [Google Scholar] [CrossRef] [Scilit]
  48. Oyovwi, M.O.; Ajayi, A.F. A comprehensive review on immunological mechanisms and gut-brain pathways linking gut health and neurological disorders. Discov. Med. 2025, 2, 245. [Google Scholar] [CrossRef] [Scilit]
  49. Sharon, G.; Cruz, N.J.; Kang, D.-W.; Gandal, M.J.; Wang, B.; Kim, Y.-M.; Zink, E.M.; Casey, C.P.; Taylor, B.C.; Lane, C.J. Human gut microbiota from autism spectrum disorder promote behavioral symptoms in mice. Cell 2019, 177, 1600–1618.e17. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  50. Krajmalnik-Brown, R.; Lozupone, C.; Kang, D.-W.; Adams, J.B. Gut bacteria in children with autism spectrum disorders: Challenges and promise of studying how a complex community influences a complex disease. Microb. Ecol. Health Dis. 2015, 26, 26914. [Google Scholar] [CrossRef] [Scilit]
  51. Xu, M.; Xu, X.; Li, J.; Li, F. Association between gut microbiota and autism spectrum disorder: A systematic review and meta-analysis. Front. Psychiatry 2019, 10, 473. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  52. Parracho, H.M.; Bingham, M.O.; Gibson, G.R.; McCartney, A.L. Differences between the gut microflora of children with autistic spectrum disorders and that of healthy children. J. Med. Microbiol. 2005, 54, 987–991. [Google Scholar]
  53. de Araújo Boleti, A.P.; de Oliveira Cardoso, P.H.; Frihling, B.E.F.; de Moraes, L.F.R.N.; Nunes, E.A.C.; Mukoyama, L.T.H.; Biembengute, M.E.F.; de Melo, V.C.B.; Morales, M.F.; de Castro, A.P. Immune dysregulation and gut microbiota: Connection to health and disease development. Neural Regen. Res. 2026, 21, 3908–3918. [Google Scholar] [CrossRef] [Scilit]
  54. Wang, R.-x.; Afzal, A.; Jing, X.-y.; Zhou, Y.; Feng, J.-x.; Chen, Z.-x.; Cao, D.-z.; Liu, X.-a. Intergenerational effects of the microbiota on neurodevelopment: Mechanisms and therapeutic perspectives. Acta Pharmacol. Sin. 2026, 1–23. [Google Scholar] [CrossRef] [Scilit]
  55. Kang, D.-W.; Park, J.G.; Ilhan, Z.E.; Wallstrom, G.; LaBaer, J.; Adams, J.B.; Krajmalnik-Brown, R. Reduced incidence of Prevotella and other fermenters in intestinal microflora of autistic children. PLoS ONE 2013, 8, e68322. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  56. Sandler, R.H.; Finegold, S.M.; Bolte, E.R.; Buchanan, C.P.; Maxwell, A.P.; Väisänen, M.-L.; Nelson, M.N.; Wexler, H.M. Short-term benefit from oral vancomycin treatment of regressive-onset autism. J. Child. Neurol. 2000, 15, 429–435. [Google Scholar] [CrossRef] [Scilit]
  57. Kiu, R.; Hall, L.J. An update on the human and animal enteric pathogen Clostridium perfringens. Emerg. Microbes Infect. 2018, 7, 1–15. [Google Scholar] [CrossRef] [Scilit]
  58. Nagahama, M.; Sakurai, J. Distribution of labeled Clostridium perfringens epsilon toxin in mice. Toxicon 1991, 29, 211–217. [Google Scholar] [CrossRef] [Scilit]
  59. Mirabbasi, S.; Ghane, M. Cytotoxic effects of epsilon toxin from Clostridium perfringens on colon cancer cell lines (HT-29) and (Caco2) in terms of oxidative stress and inflammatory cytokines. Toxicol. Res. 2025, 14, tfaf083. [Google Scholar] [CrossRef] [Scilit]
  60. Agata, N.; Ohta, M.; Mori, M.; Isobe, M. A novel dodecadepsipeptide, cereulide, is an emetic toxin of Bacillus cereus. FEMS Microbiol. Lett. 1995, 129, 17–19. [Google Scholar] [CrossRef] [Scilit]
  61. Sugiyama, H.; Hayama, T. Abdominal viscera as site of emetic action for staphylococcal enterotoxin in the monkey. J. Infect. Dis. 1965, 115, 330–336. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  62. Hu, D.L.; Zhu, G.; Mori, F.; Omoe, K.; Okada, M.; Wakabayashi, K.; Kaneko, S.; Shinagawa, K.; Nakane, A. Staphylococcal enterotoxin induces emesis through increasing serotonin release in intestine and it is downregulated by cannabinoid receptor 1. Cell. Microbiol. 2007, 9, 2267–2277. [Google Scholar] [CrossRef] [Scilit]
  63. Friedland, R.P.; Chapman, M.R. The role of microbial amyloid in neurodegeneration. PLoS Pathog. 2017, 13, e1006654. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  64. Chapman, M.R.; Robinson, L.S.; Pinkner, J.S.; Roth, R.; Heuser, J.; Hammar, M.; Normark, S.; Hultgren, S.J. Role of Escherichia coli curli operons in directing amyloid fiber formation. Science 2002, 295, 851–855. [Google Scholar] [CrossRef] [Scilit]
  65. Collinson, S.; Emödy, L.; Müller, K.; Trust, T.; Kay, W. Purification and characterization of thin, aggregative fimbriae from Salmonella enteritidis. J. Bacteriol. 1991, 173, 4773–4781. [Google Scholar] [CrossRef] [Scilit]
  66. Chen, S.G.; Stribinskis, V.; Rane, M.J.; Demuth, D.R.; Gozal, E.; Roberts, A.M.; Jagadapillai, R.; Liu, R.; Choe, K.; Shivakumar, B. Exposure to the functional bacterial amyloid protein curli enhances alpha-synuclein aggregation in aged Fischer 344 rats and Caenorhabditis elegans. Sci. Rep. 2016, 6, 34477. [Google Scholar] [CrossRef] [Scilit]
  67. Needham, B.D.; Kaddurah-Daouk, R.; Mazmanian, S.K. Gut microbial molecules in behavioural and neurodegenerative conditions. Nat. Rev. Neurosci. 2020, 21, 717–731. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  68. González-Sanmiguel, J.; Schuh, C.M.; Muñoz-Montesino, C.; Contreras-Kallens, P.; Aguayo, L.G.; Aguayo, S. Complex interaction between resident microbiota and misfolded proteins: Role in neuroinflammation and neurodegeneration. Cells 2020, 9, 2476. [Google Scholar] [CrossRef] [Scilit]
  69. Kim, H.s.; Kim, S.; Shin, S.J.; Park, Y.H.; Nam, Y.; Kim, C.w.; Lee, K.w.; Kim, S.-M.; Jung, I.D.; Yang, H.D. Gram-negative bacteria and their lipopolysaccharides in Alzheimer’s disease: Pathologic roles and therapeutic implications. Transl. Neurodegener. 2021, 10, 1–23. [Google Scholar] [CrossRef] [Scilit]
  70. Vojtechova, I.; Machacek, T.; Kristofikova, Z.; Stuchlik, A.; Petrasek, T. Infectious origin of Alzheimer’s disease: Amyloid beta as a component of brain antimicrobial immunity. PLoS Pathog. 2022, 18, e1010929. [Google Scholar] [CrossRef] [Scilit]
  71. Doi, K.; Uetsuka, K. Mechanisms of mycotoxin-induced neurotoxicity through oxidative stress-associated pathways. Int. J. Mol. Sci. 2011, 12, 5213–5237. [Google Scholar] [CrossRef] [Scilit]
  72. Nguyen, V.T.T.; König, S.; Eggert, S.; Endres, K.; Kins, S. The role of mycotoxins in neurodegenerative diseases: Current state of the art and future perspectives of research. Biol. Chem. 2022, 403, 3–26. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  73. Aguzzi, A.; Calella, A.M. Prions: Protein aggregation and infectious diseases. Physiol. Rev. 2009, 89, 1105–1152. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  74. Poulain, B.; Popoff, M.R.; Molgó, J. How do the botulinum neurotoxins block neurotransmitter release: From botulism to the molecular mechanism of action. Botulinum J. 2008, 1, 14–87. [Google Scholar] [CrossRef] [Scilit]
  75. Hassel, B. Tetanus: Pathophysiology, treatment, and the possibility of using botulinum toxin against tetanus-induced rigidity and spasms. Toxins 2013, 5, 73–83. [Google Scholar] [CrossRef] [Scilit]
  76. Marrodan, M.; Alessandro, L.; Farez, M.F.; Correale, J. The role of infections in multiple sclerosis. Mult. Scler. J. 2019, 25, 891–901. [Google Scholar] [CrossRef] [Scilit]
  77. Kielian, T. Immunopathogenesis of brain abscess. J. Neuroinflamm. 2004, 1, 16. [Google Scholar] [CrossRef] [Scilit]
  78. Tesh, V.L. Induction of apoptosis by Shiga toxins. Future Microbiol. 2010, 5, 431–453. [Google Scholar] [CrossRef] [Scilit]
  79. Lohmann, S. Neuroinvasion and Cerebral Ischemia as Possible Sources for α-Synuclein Prions in Parkinson’s Disease. Ph.D. Thesis, Universitäts-und Landesbibliothek Bonn, Bonn, Germany, 2021. [Google Scholar]
  80. Tran, V.T.A.; Lee, L.P.; Cho, H. Neuroinflammation in neurodegeneration via microbial infections. Front. Immunol. 2022, 13, 907804. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  81. Xiong, J.; Kaleja, P.; Ückert, L.; Nezaratizadeh, N.; Krantz, S.; Krause, M.F.; Fitschen-Oestern, S.; Seekamp, A.; Cassidy, L.; Tholey, A. Alveolar–Capillary Barrier Protection In Vitro: Lung Cell Type-Specific Effects and Molecular Mechanisms Induced by 1α, 25-Dihydroxyvitamin D3. Int. J. Mol. Sci. 2023, 24, 7298. [Google Scholar] [CrossRef] [Scilit]
  82. Rangel, S.M.; Diaz, M.H.; Knoten, C.A.; Zhang, A.; Hauser, A.R. The role of ExoS in dissemination of Pseudomonas aeruginosa during pneumonia. PLoS Pathog. 2015, 11, e1004945. [Google Scholar] [CrossRef] [Scilit]
  83. Bouillot, S.; Munro, P.; Gallet, B.; Reboud, E.; Cretin, F.; Golovkine, G.; Schoehn, G.; Attrée, I.; Lemichez, E.; Huber, P. Pseudomonas aeruginosa Exolysin promotes bacterial growth in lungs, alveolar damage and bacterial dissemination. Sci. Rep. 2017, 7, 2120. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  84. Chuang, Y.; Chang, W.; Lu, C.; Wu, H.; Chang, H. Pseudomonas aeruginosa central nervous system infections: Analysis of clinical features of 16 adult patients. Zhonghua Yi Xue Za Zhi = Chin. Med. J. Free China Ed. 1999, 62, 300–307. [Google Scholar]
  85. Hosang, L.; Canals, R.C.; van der Flier, F.J.; Hollensteiner, J.; Daniel, R.; Flügel, A.; Odoardi, F. The lung microbiome regulates brain autoimmunity. Nature 2022, 603, 138–144. [Google Scholar] [CrossRef] [Scilit]
  86. Braniste, V.; Al-Asmakh, M.; Kowal, C.; Anuar, F.; Abbaspour, A.; Tóth, M.; Korecka, A.; Bakocevic, N.; Ng, L.G.; Kundu, P. The gut microbiota influences blood-brain barrier permeability in mice. Sci. Transl. Med. 2014, 6, 263ra158. [Google Scholar] [CrossRef] [Scilit]
  87. Obrenovich, M.E. Leaky gut, leaky brain? Microorganisms 2018, 6, 107. [Google Scholar] [CrossRef] [Scilit]
  88. Valles-Colomer, M.; Falony, G.; Darzi, Y.; Tigchelaar, E.F.; Wang, J.; Tito, R.Y.; Schiweck, C.; Kurilshikov, A.; Joossens, M.; Wijmenga, C. The neuroactive potential of the human gut microbiota in quality of life and depression. Nat. Microbiol. 2019, 4, 623–632. [Google Scholar] [CrossRef] [Scilit]
  89. Barth, K.; Remick, D.G.; Genco, C.A. Disruption of immune regulation by microbial pathogens and resulting chronic inflammation. J. Cell. Physiol. 2013, 228, 1413–1422. [Google Scholar] [CrossRef] [Scilit]
  90. Guichard, A.; McGillivray, S.M.; Cruz-Moreno, B.; van Sorge, N.M.; Nizet, V.; Bier, E. Anthrax toxins cooperatively inhibit endocytic recycling by the Rab11/Sec15 exocyst. Nature 2010, 467, 854–858. [Google Scholar] [CrossRef] [Scilit]
  91. Gründler, T.; Quednau, N.; Stump, C.; Orian-Rousseau, V.; Ishikawa, H.; Wolburg, H.; Schroten, H.; Tenenbaum, T.; Schwerk, C. The surface proteins InlA and InlB are interdependently required for polar basolateral invasion by Listeria monocytogenes in a human model of the blood–cerebrospinal fluid barrier. Microbes Infect. 2013, 15, 291–301. [Google Scholar] [CrossRef] [Scilit]
  92. Wang, K.; Wang, H.; Lou, W.; Ma, L.; Li, Y.; Zhang, N.; Wang, C.; Li, F.; Awais, M.; Cao, S. IP-10 promotes blood–brain barrier damage by inducing tumor necrosis factor alpha production in Japanese encephalitis. Front. Immunol. 2018, 9, 1148. [Google Scholar] [CrossRef] [Scilit]
  93. Tsao, N.; Hsu, H.-P.; Wu, C.-M.; Liu, C.-C.; Lei, H.-Y. Tumour necrosis factor-α causes an increase in blood-brain barrier permeability during sepsis. J. Med. Microbiol. 2001, 50, 812–821. [Google Scholar] [CrossRef] [Scilit]
  94. Pron, B.; Taha, M.-K.; Rambaud, C.; Fournet, J.-C.; Pattey, N.; Monnet, J.-P.; Musilek, M.; Beretti, J.-L.; Nassif, X. Interaction of Neisseria meningitidis with the components of the blood-brain barrier correlates with an increased expression of PilC. J. Infect. Dis. 1997, 176, 1285–1292. [Google Scholar] [CrossRef] [Scilit]
  95. Coureuil, M.; Lécuyer, H.; Bourdoulous, S.; Nassif, X. A journey into the brain: Insight into how bacterial pathogens cross blood–brain barriers. Nat. Rev. Microbiol. 2017, 15, 149–159. [Google Scholar] [CrossRef] [Scilit]
  96. Tang, A.T.; Choi, J.P.; Kotzin, J.J.; Yang, Y.; Hong, C.C.; Hobson, N.; Girard, R.; Zeineddine, H.A.; Lightle, R.; Moore, T. Endothelial TLR4 and the microbiome drive cerebral cavernous malformations. Nature 2017, 545, 305–310. [Google Scholar] [CrossRef] [Scilit]
  97. Zhao, Y.; Cong, L.; Jaber, V.; Lukiw, W.J. Microbiome-derived lipopolysaccharide enriched in the perinuclear region of Alzheimer’s disease brain. Front. Immunol. 2017, 8, 1064. [Google Scholar] [CrossRef] [Scilit]
  98. Zhao, Y.; Jaber, V.; Lukiw, W.J. Secretory products of the human GI tract microbiome and their potential impact on Alzheimer’s disease (AD): Detection of lipopolysaccharide (LPS) in AD hippocampus. Front. Cell. Infect. Microbiol. 2017, 7, 318. [Google Scholar] [CrossRef] [Scilit]
  99. Poole, S.; Singhrao, S.K.; Chukkapalli, S.; Rivera, M.; Velsko, I.; Kesavalu, L.; Crean, S. Active invasion of Porphyromonas gingivalis and infection-induced complement activation in ApoE-/-mice brains. J. Alzheimer’s Dis. 2015, 43, 67–80. [Google Scholar] [CrossRef] [Scilit]
  100. Poole, S.; Singhrao, S.K.; Kesavalu, L.; Curtis, M.A.; Crean, S. Determining the presence of periodontopathic virulence factors in short-term postmortem Alzheimer’s disease brain tissue. In Handbook of Infection and Alzheimer’s Disease; IOS Press: Amsterdam, The Netherlands, 2017; pp. 105–117. [Google Scholar]
  101. Singhrao, S.K.; Chukkapalli, S.; Poole, S.; Velsko, I.; Crean, S.J.; Kesavalu, L. Chronic Porphyromonas gingivalis infection accelerates the occurrence of age-related granules in ApoE–/–mice brains. J. Oral. Microbiol. 2017, 9, 1270602. [Google Scholar] [CrossRef] [Scilit]
  102. Dominy, S.S.; Lynch, C.; Ermini, F.; Benedyk, M.; Marczyk, A.; Konradi, A.; Nguyen, M.; Haditsch, U.; Raha, D.; Griffin, C. Porphyromonas gingivalis in Alzheimer’s disease brains: Evidence for disease causation and treatment with small-molecule inhibitors. Sci. Adv. 2019, 5, eaau3333. [Google Scholar] [CrossRef] [Scilit]
  103. Stein, P.S.; Steffen, M.J.; Smith, C.; Jicha, G.; Ebersole, J.L.; Abner, E.; Dawson, D., III. Serum antibodies to periodontal pathogens are a risk factor for Alzheimer’s disease. Alzheimer’s Dement. 2012, 8, 196–203. [Google Scholar] [CrossRef] [Scilit]
  104. Noble, J.; Scarmeas, N.; Celenti, R.; Elkind, M.; Wright, C.B.; Schupf, N.; Papapanou, P.N. Serum IgG antibody levels to periodontal microbiota are associated with incident Alzheimer disease. PLoS ONE 2014, 9, e114959. [Google Scholar] [CrossRef] [Scilit]
  105. Ishihara, K.; Okuda, K. Molecular pathogenesis of the cell surface proteins and lipids from Treponema denticola. FEMS Microbiol. Lett. 1999, 181, 199–204. [Google Scholar] [CrossRef]
  106. Riviere, G.R.; Riviere, K.; Smith, K. Molecular and immunological evidence of oral Treponema in the human brain and their association with Alzheimer’s disease. Oral. Microbiol. Immunol. 2002, 17, 113–118. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  107. Sharma, R.R. Fungal infections of the nervous system: Current perspective and controversies in management. Int. J. Surg. 2010, 8, 591–601. [Google Scholar] [CrossRef] [Scilit]
  108. Pisa, D.; Alonso, R.; Rábano, A.; Rodal, I.; Carrasco, L. Different brain regions are infected with fungi in Alzheimer’s disease. Sci. Rep. 2015, 5, 15015. [Google Scholar] [CrossRef] [Scilit]
  109. Pisa, D.; Alonso, R.; Carrasco, L. Parkinson’s disease: A comprehensive analysis of fungi and bacteria in brain tissue. Int. J. Biol. Sci. 2020, 16, 1135–1152. [Google Scholar] [CrossRef] [Scilit]
  110. Alonso, R.; Fernández-Fernández, A.M.; Pisa, D.; Carrasco, L. Multiple sclerosis and mixed microbial infections. Direct identification of fungi and bacteria in nervous tissue. Neurobiol. Dis. 2018, 117, 42–61. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  111. Moreira, R.T.d.F.; Lallo, M.A.; Alvares-Saraiva, A.M.; Hurtado, E.C.P.; Konno, F.T.; Spadacci-Morena, D.; Coutinho, S.d.A. Dichotomous response of Malassezia-infected macrophages to Malassezia pachydermatis and Malassezia furfur. Med. Mycol. 2019, 57, 628–635. [Google Scholar] [CrossRef] [Scilit]
  112. Chang, Y.C.; Stins, M.F.; McCaffery, M.J.; Miller, G.F.; Pare, D.R.; Dam, T.; Paul-Satyasee, M.; Kim, K.S.; Kwon-Chung, K.J. Cryptococcal yeast cells invade the central nervous system via transcellular penetration of the blood-brain barrier. Infect. Immun. 2004, 72, 4985–4995. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  113. Casadevall, A. Cryptococci at the brain gate: Break and enter or use a Trojan horse? J. Clin. Investig. 2010, 120, 1389–1392. [Google Scholar] [CrossRef] [Scilit]
  114. Kim, J.; Lee, K.-T.; Lee, J.S.; Shin, J.; Cui, B.; Yang, K.; Choi, Y.S.; Choi, N.; Lee, S.H.; Lee, J.-H. Fungal brain infection modelled in a human-neurovascular-unit-on-a-chip with a functional blood–brain barrier. Nat. Biomed. Eng. 2021, 5, 830–846. [Google Scholar] [CrossRef] [Scilit]
  115. Jong, A.; Wu, C.H.; Prasadarao, N.V.; Kwon-Chung, K.J.; Chang, Y.C.; Ouyang, Y.; Shackleford, G.M.; Huang, S.H. Invasion of Cryptococcus neoformans into human brain microvascular endothelial cells requires protein kinase C-α activation. Cell. Microbiol. 2008, 10, 1854–1865. [Google Scholar] [CrossRef] [Scilit]
  116. Shi, M.; Mody, C.H. Fungal infection in the brain: What we learned from intravital imaging. Front. Immunol. 2016, 7, 292. [Google Scholar] [CrossRef] [Scilit]
  117. Silva, D.F.; Empadinhas, N.; Cardoso, S.M.; Esteves, A.R. Neurodegenerative microbially-shaped diseases: Oxidative stress meets neuroinflammation. Antioxidants 2022, 11, 2141. [Google Scholar] [CrossRef] [Scilit]
  118. Shukla, V.; Mishra, S.K.; Pant, H.C. Oxidative stress in neurodegeneration. Adv. Pharmacol. Pharm. Sci. 2011, 2011, 572634. [Google Scholar] [CrossRef] [Scilit]
  119. Shandilya, S.; Kumar, S.; Jha, N.K.; Kesari, K.K.; Ruokolainen, J. Interplay of gut microbiota and oxidative stress: Perspective on neurodegeneration and neuroprotection. J. Adv. Res. 2022, 38, 223–244. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  120. Nunomura, A.; Honda, K.; Takeda, A.; Hirai, K.; Zhu, X.; Smith, M.A.; Perry, G. Oxidative damage to RNA in neurodegenerative diseases. BioMed Res. Int. 2006, 2006, 082323. [Google Scholar] [CrossRef] [Scilit]
  121. Perry, G.; Nunomura, A.; Hirai, K.; Zhu, X.; Prez, M.; Avila, J.; Castellani, R.J.; Atwood, C.S.; Aliev, G.; Sayre, L.M. Is oxidative damage the fundamental pathogenic mechanism of Alzheimer’s and other neurodegenerative diseases? Free Radic. Biol. Med. 2002, 33, 1475–1479. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  122. Napolitano, A.; Crescenzi, O.; Pezzella, A.; Prota, G. Generation of the neurotoxin 6-hydroxydopamine by peroxidase/H2O2 oxidation of dopamine. J. Med. Chem. 1995, 38, 917–922. [Google Scholar] [CrossRef] [Scilit]
  123. Imam, S.Z.; El-Yazal, J.; Newport, G.D.; Itzhak, Y.; Cadet, J.L.; Slikker, W., Jr.; Ali, S.F. Methamphetamine-induced dopaminergic neurotoxicity: Role of peroxynitrite and neuroprotective role of antioxidants and peroxynitrite decomposition catalysts. Ann. N. Y. Acad. Sci. 2001, 939, 366–380. [Google Scholar] [CrossRef] [Scilit]
  124. Cadet, J.L.; Brannock, C. Invited review free radicals and the pathobiology of brain dopamine systems. Neurochem. Int. 1998, 32, 117–131. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  125. Cadet, J.L.; Ali, S.F.; Rothman, R.B.; Epstein, C.J. Neurotoxicity, drugs of abuse, and the CuZn-superoxide dismutase transgenic mice. Mol. Neurobiol. 1995, 11, 155–163. [Google Scholar] [CrossRef] [Scilit]
  126. Giovanni, A.; Liang, L.P.; Hastings, T.G.; Zigmond, M.J. Estimating hydroxyl radical content in rat brain using systemic and intraventricular salicylate: Impact of methamphetamine. J. Neurochem. 1995, 64, 1819–1825. [Google Scholar] [CrossRef] [Scilit]
  127. Gibb, J.; Johnson, M.; Hanson, G. Neurochemical basis of neurotoxicity. Neurotoxicology 1990, 11, 317–321. [Google Scholar] [PubMed]
  128. De Vito, M.J.; Wagner, G. Methamphetamine-induced neuronal damage: A possible role for free radicals. Neuropharmacology 1989, 28, 1145–1150. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  129. Agorogiannis, E.; Agorogiannis, G.; Papadimitriou, A.; Hadjigeorgiou, G. Protein misfolding in neurodegenerative diseases. Neuropathol. Appl. Neurobiol. 2004, 30, 215–224. [Google Scholar] [CrossRef] [Scilit]
  130. Lansbury, P.T., Jr. Evolution of amyloid: What normal protein folding may tell us about fibrillogenesis and disease. Proc. Natl. Acad. Sci. USA 1999, 96, 3342–3344. [Google Scholar] [CrossRef] [Scilit]
  131. Lashuel, H.A.; Hartley, D.; Petre, B.M.; Walz, T.; Lansbury, P.T., Jr. Amyloid pores from pathogenic mutations. Nature 2002, 418, 291. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  132. Sharon, R.; Bar-Joseph, I.; Frosch, M.P.; Walsh, D.M.; Hamilton, J.A.; Selkoe, D.J. The formation of highly soluble oligomers of α-synuclein is regulated by fatty acids and enhanced in Parkinson’s disease. Neuron 2003, 37, 583–595. [Google Scholar] [CrossRef] [Scilit]
  133. Conway, K.A.; Lee, S.-J.; Rochet, J.-C.; Ding, T.T.; Williamson, R.E.; Lansbury, P.T., Jr. Acceleration of oligomerization, not fibrillization, is a shared property of both α-synuclein mutations linked to early-onset Parkinson’s disease: Implications for pathogenesis and therapy. Proc. Natl. Acad. Sci. USA 2000, 97, 571–576. [Google Scholar] [CrossRef] [Scilit]
  134. Chinta, S.J.; Andersen, J.K. Nitrosylation and nitration of mitochondrial complex I in Parkinson’s disease. Free Radic. Res. 2011, 45, 53–58. [Google Scholar] [CrossRef] [Scilit]
  135. Block, M.; Hong, J.-S. Chronic microglial activation and progressive dopaminergic neurotoxicity. Biochem. Soc. Trans. 2007, 35, 1127–1132. [Google Scholar] [CrossRef] [Scilit]
  136. Huang, J.; Wang, N.; Huang, X.; Huang, S.; Xie, G.; Zhang, J.; Li, Z. Fe-Formononetin nanoenzymes promote traumatic brain injury repair by alleviating oxidative stress and regulating microglia polarization. Mater. Des. 2025, 260, 115015. [Google Scholar] [CrossRef] [Scilit]
  137. Sochocka, M.; Zwolinska, K.; Leszek, J. The infectious etiology of Alzheimer’s disease. Curr. Neuropharmacol. 2017, 15, 996–1009. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  138. Pritchard, A.B.; Crean, S.; Olsen, I.; Singhrao, S.K. Periodontitis, microbiomes and their role in Alzheimer’s disease. Front. Aging Neurosci. 2017, 9, 336. [Google Scholar] [CrossRef] [Scilit]
  139. Giau, V.V.; Wu, S.Y.; Jamerlan, A.; An, S.S.A.; Kim, S.; Hulme, J. Gut microbiota and their neuroinflammatory implications in Alzheimer’s disease. Nutrients 2018, 10, 1765. [Google Scholar] [CrossRef] [Scilit]
  140. Emery, D.C.; Shoemark, D.K.; Batstone, T.E.; Waterfall, C.M.; Coghill, J.A.; Cerajewska, T.L.; Davies, M.; West, N.X.; Allen, S.J. 16S rRNA next generation sequencing analysis shows bacteria in Alzheimer’s post-mortem brain. Front. Aging Neurosci. 2017, 9, 195. [Google Scholar] [CrossRef] [Scilit]
  141. Jiang, C.; Li, G.; Huang, P.; Liu, Z.; Zhao, B. The gut microbiota and Alzheimer’s disease. J. Alzheimer’s Dis. 2017, 58, 1–15. [Google Scholar] [CrossRef] [Scilit]
  142. Zhan, X.; Stamova, B.; Jin, L.-W.; DeCarli, C.; Phinney, B.; Sharp, F.R. Gram-negative bacterial molecules associate with Alzheimer disease pathology. Neurology 2016, 87, 2324–2332. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  143. Pretorius, E.; Bester, J.; Kell, D.B. A bacterial component to Alzheimer’s-type dementia seen via a systems biology approach that links iron dysregulation and inflammagen shedding to disease. J. Alzheimer’s Dis. 2016, 53, 1237–1256. [Google Scholar] [CrossRef] [Scilit]
  144. Fulop, T.; Witkowski, J.M.; Bourgade, K.; Khalil, A.; Zerif, E.; Larbi, A.; Hirokawa, K.; Pawelec, G.; Bocti, C.; Lacombe, G. Can an infection hypothesis explain the beta amyloid hypothesis of Alzheimer’s disease? Front. Aging Neurosci. 2018, 10, 224. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  145. Brown, G.C. The endotoxin hypothesis of neurodegeneration. J. Neuroinflamm. 2019, 16, 180. [Google Scholar] [CrossRef] [Scilit]
  146. Hung, Y.-L.; Fang, S.-H.; Wang, S.-C.; Cheng, W.-C.; Liu, P.-L.; Su, C.-C.; Chen, C.-S.; Huang, M.-Y.; Hua, K.-F.; Shen, K.-H. Corylin protects LPS-induced sepsis and attenuates LPS-induced inflammatory response. Sci. Rep. 2017, 7, 46299. [Google Scholar] [CrossRef] [Scilit]
  147. Chou, C.-H.; Lee, J.-T.; Lin, C.-C.; Sung, Y.-F.; Lin, C.-C.; Muo, C.-H.; Yang, F.-C.; Wen, C.-P.; Wang, I.-K.; Kao, C.-H. Septicemia is associated with increased risk for dementia: A population-based longitudinal study. Oncotarget 2017, 8, 84300–84308. [Google Scholar] [CrossRef] [Scilit]
  148. Iwashyna, T.J.; Ely, E.W.; Smith, D.M.; Langa, K.M. Long-term cognitive impairment and functional disability among survivors of severe sepsis. JAMA 2010, 304, 1787–1794. [Google Scholar] [CrossRef] [Scilit]
  149. Zhang, R.; Miller, R.G.; Gascon, R.; Champion, S.; Katz, J.; Lancero, M.; Narvaez, A.; Honrada, R.; Ruvalcaba, D.; McGrath, M.S. Circulating endotoxin and systemic immune activation in sporadic amyotrophic lateral sclerosis (sALS). J. Neuroimmunol. 2009, 206, 121–124. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  150. Lee, H.-J.; Lee, K.-E.; Kim, J.-K.; Kim, D.-H. Suppression of gut dysbiosis by Bifidobacterium longum alleviates cognitive decline in 5XFAD transgenic and aged mice. Sci. Rep. 2019, 9, 11814. [Google Scholar] [CrossRef] [Scilit]
  151. Zhan, X.; Stamova, B.; Sharp, F.R. Lipopolysaccharide associates with amyloid plaques, neurons and oligodendrocytes in Alzheimer’s disease brain: A review. Front. Aging Neurosci. 2018, 10, 42. [Google Scholar] [CrossRef] [Scilit]
  152. Schwartz, K.; Boles, B.R. Microbial amyloids–functions and interactions within the host. Curr. Opin. Microbiol. 2013, 16, 93–99. [Google Scholar] [CrossRef] [Scilit]
  153. Javed, I.; Zhang, Z.; Adamcik, J.; Andrikopoulos, N.; Li, Y.; Otzen, D.E.; Lin, S.; Mezzenga, R.; Davis, T.P.; Ding, F. Accelerated amyloid beta pathogenesis by bacterial amyloid FapC. Adv. Sci. 2020, 7, 2001299. [Google Scholar] [CrossRef] [Scilit]
  154. Shewmaker, F.; McGlinchey, R.P.; Thurber, K.R.; McPhie, P.; Dyda, F.; Tycko, R.; Wickner, R.B. The functional curli amyloid is not based on in-register parallel β-sheet structure. J. Biol. Chem. 2009, 284, 25065–25076. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  155. Hill, J.M.; Lukiw, W.J. Microbial-generated amyloids and Alzheimer’s disease (AD). Front. Aging Neurosci. 2015, 7, 9. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  156. Grando, K. Complex Autoimmune Diseases: Genetic Predisposition and Bacterial Amyloid Curli. Ph.D. Dissertation, Temple University, Philadelphia, PA, USA, 2025. [Google Scholar]
  157. Cherny, I.; Rockah, L.; Levy-Nissenbaum, O.; Gophna, U.; Ron, E.Z.; Gazit, E. The formation of Escherichia coli curli amyloid fibrils is mediated by prion-like peptide repeats. J. Mol. Biol. 2005, 352, 245–252. [Google Scholar] [CrossRef] [Scilit]
  158. Rapsinski, G.J.; Newman, T.N.; Oppong, G.O.; van Putten, J.P.; Tükel, Ç. CD14 protein acts as an adaptor molecule for the immune recognition of Salmonella curli fibers. J. Biol. Chem. 2013, 288, 14178–14188. [Google Scholar] [CrossRef] [Scilit]
  159. Liu, S.; Gao, J.; Zhu, M.; Liu, K.; Zhang, H.-L. Gut microbiota and dysbiosis in Alzheimer’s disease: Implications for pathogenesis and treatment. Mol. Neurobiol. 2020, 57, 5026–5043. [Google Scholar] [CrossRef] [Scilit]
  160. Park, S.-C.; Moon, J.C.; Shin, S.Y.; Son, H.; Jung, Y.J.; Kim, N.-H.; Kim, Y.-M.; Jang, M.-K.; Lee, J.R. Functional characterization of alpha-synuclein protein with antimicrobial activity. Biochem. Biophys. Res. Commun. 2016, 478, 924–928. [Google Scholar] [CrossRef] [Scilit]
  161. Halfmann, R.; Alberti, S.; Lindquist, S. Prions, protein homeostasis, and phenotypic diversity. Trends Cell Biol. 2010, 20, 125–133. [Google Scholar] [CrossRef] [Scilit]
  162. Dent, S.E.; King, D.P.; Osterberg, V.R.; Adams, E.K.; Mackiewicz, M.R.; Weissman, T.A.; Unni, V.K. Phosphorylation of the aggregate-forming protein alpha-synuclein on serine-129 inhibits its DNA-bending properties. J. Biol. Chem. 2022, 298, 101552. [Google Scholar] [CrossRef] [Scilit]
  163. Lashuel, H.A. Do Lewy bodies contain alpha-synuclein fibrils? and Does it matter? A brief history and critical analysis of recent reports. Neurobiol. Dis. 2020, 141, 104876. [Google Scholar] [CrossRef] [Scilit]
  164. Tenreiro, S.; Reimao-Pinto, M.M.; Antas, P.; Rino, J.; Wawrzycka, D.; Macedo, D.; Rosado-Ramos, R.; Amen, T.; Waiss, M.; Magalhaes, F. Phosphorylation modulates clearance of alpha-synuclein inclusions in a yeast model of Parkinson’s disease. PLoS Genet. 2014, 10, e1004302. [Google Scholar] [CrossRef] [Scilit]
  165. Götz, M.E.; Double, K.; Gerlach, M.; Youdim, M.B.; Riederere, P. The relevance of iron in the pathogenesis of Parkinson’s disease. Ann. N. Y. Acad. Sci. 2004, 1012, 193–208. [Google Scholar] [CrossRef] [Scilit]
  166. Kaur, D.; Andersen, J. Does cellular iron dysregulation play a causative role in Parkinson’s disease? Ageing Res. Rev. 2004, 3, 327–343. [Google Scholar] [CrossRef] [Scilit]
  167. Talley, S.M.; Coley, P.D.; Kursar, T.A. The effects of weather on fungal abundance and richness among 25 communities in the Intermountain West. BMC Ecol. 2002, 2, 7. [Google Scholar] [CrossRef] [Scilit]
  168. Ismaiel, A.A.; Papenbrock, J. Mycotoxins: Producing fungi and mechanisms of phytotoxicity. Agriculture 2015, 5, 492–537. [Google Scholar] [CrossRef] [Scilit]
  169. Brand, B.; Stoye, N.M.; dos Santos Guilherme, M.; Nguyen, V.T.T.; Baumgaertner, J.C.; Schüffler, A.; Thines, E.; Endres, K. Identification of Patulin from Penicillium coprobium as a Toxin for Enteric Neurons. Molecules 2019, 24, 2776. [Google Scholar] [CrossRef] [Scilit]
  170. Osuchowski, M.F.; Sharma, R.P. Fumonisin B1 induces necrotic cell death in BV-2 cells and murine cultured astrocytes and is antiproliferative in BV-2 cells while N2A cells and primary cortical neurons are resistant. Neurotoxicology 2005, 26, 981–992. [Google Scholar] [CrossRef] [Scilit]
  171. Dalziel, J.E.; Finch, S.C.; Dunlop, J. The fungal neurotoxin lolitrem B inhibits the function of human large conductance calcium-activated potassium channels. Toxicol. Lett. 2005, 155, 421–426. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  172. Han, N.; Luo, R.; Liu, J.; Guo, T.; Feng, J.; Peng, X. Transcriptomic and proteomic analysis reveals mechanisms of patulin-induced cell toxicity in human embryonic kidney cells. Toxins 2020, 12, 681. [Google Scholar] [CrossRef] [Scilit]
  173. Yoon, S.; Cong, W.-T.; Bang, Y.; Lee, S.N.; Yoon, C.S.; Kwack, S.J.; Kang, T.S.; Lee, K.Y.; Choi, J.-K.; Choi, H.J. Proteome response to ochratoxin A-induced apoptotic cell death in mouse hippocampal HT22 cells. Neurotoxicology 2009, 30, 666–676. [Google Scholar] [CrossRef] [Scilit]
  174. Berntsen, H.; Wigestrand, M.; Bogen, I.; Fonnum, F.; Walaas, S.; Moldes-Anaya, A. Mechanisms of penitrem-induced cerebellar granule neuron death in vitro: Possible involvement of GABAA receptors and oxidative processes. Neurotoxicology 2013, 35, 129–136. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  175. Zhang, X.; Boesch-Saadatmandi, C.; Lou, Y.; Wolffram, S.; Huebbe, P.; Rimbach, G. Ochratoxin A induces apoptosis in neuronal cells. Genes Nutr. 2009, 4, 41–48. [Google Scholar] [CrossRef] [Scilit]
  176. Moldes-Anaya, A.S.; Fonnum, F.; Eriksen, G.S.; Rundberget, T.; Walaas, S.I.; Wigestrand, M.B. In vitro neuropharmacological evaluation of penitrem-induced tremorgenic syndromes: Importance of the GABAergic system. Neurochem. Int. 2011, 59, 1074–1081. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  177. Purzycki, C.B.; Shain, D.H. Fungal toxins and multiple sclerosis: A compelling connection. Brain Res. Bull. 2010, 82, 4–6. [Google Scholar] [CrossRef] [Scilit]
  178. Merrill, A.; Wang, E.; Vales, T.; Smith, E.; Schroeder, J.; Menaldino, D.; Alexander, C.; Crane, H.; Xia, J.; Liotta, D. Fumonisin toxicity and sphingolipid biosynthesis. In Fumonisins Food; Springer: Boston, MA, USA, 1996; pp. 297–306. [Google Scholar]
  179. Giussani, P.; Prinetti, A.; Tringali, C. The role of Sphingolipids in myelination and myelin stability and their involvement in childhood and adult demyelinating disorders. J. Neurochem. 2021, 156, 403–414. [Google Scholar] [CrossRef] [Scilit]
  180. Ménard, A.; Amouri, R.; Dobránsky, T.; Charriaut-Marlangue, C.; Pierig, R.; Cifuentes-Diaz, C.; Ghandour, S.; Belliveau, J.; Gascan, H.; Hentati, F. A gliotoxic factor and multiple sclerosis. J. Neurol. Sci. 1998, 154, 209–221. [Google Scholar] [CrossRef] [Scilit]
  181. Rieger, F.; Amouri, R.; Benjelloun, N.; Cifuentes-Diaz, C.; Lyon-Caen, O.; Hantaz-Ambroise, D.; Dobransky, T.; Perron, H.; Gemy, C. Gliotoxic factor and multiple sclerosis. Comptes Rendus De L’academie Sci. Ser. III Sci. Vie 1996, 319, 343–350. [Google Scholar]
  182. Benjelloun, N.; Charriaut-Marlangue, C.; Hantaz-Ambroise, D.; Ménard, A.; Pierig, R.; Alliel, P.M.; Rieger, F. Induction of cell death in rat brain by a gliotoxic factor from cerebrospinal fluid in multiple sclerosis. Cell. Mol. Biol. 2002, 48, 205–212. [Google Scholar] [PubMed]
  183. Oskarsson, B.; Horton, D.K.; Mitsumoto, H. Potential environmental factors in amyotrophic lateral sclerosis. Neurol. Clin. 2015, 33, 877–888. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  184. Alonso, R.; Pisa, D.; Marina, A.I.; Morato, E.; Rábano, A.; Rodal, I.; Carrasco, L. Evidence for fungal infection in cerebrospinal fluid and brain tissue from patients with amyotrophic lateral sclerosis. Int. J. Biol. Sci. 2015, 11, 546–558. [Google Scholar] [CrossRef] [Scilit]
  185. Castanedo-Vazquez, D.; Bosque-Varela, P.; Sainz-Pelayo, A.; Riancho, J. Infectious agents and amyotrophic lateral sclerosis: Another piece of the puzzle of motor neuron degeneration. J. Neurol. 2019, 266, 27–36. [Google Scholar] [CrossRef] [Scilit]
  186. Foran, E.; Trotti, D. Glutamate transporters and the excitotoxic path to motor neuron degeneration in amyotrophic lateral sclerosis. Antioxid. Redox Signal. 2009, 11, 1587–1602. [Google Scholar] [CrossRef] [Scilit]
  187. Scofield, M.; Korutla, L.; Jackson, T.; Kalivas, P.; Mackler, S. Nucleus Accumbens 1, a Pox virus and Zinc finger/Bric-a-brac Tramtrack Broad protein binds to TAR DNA-binding protein 43 and has a potential role in amyotrophic lateral sclerosis. Neuroscience 2012, 227, 44–54. [Google Scholar] [CrossRef] [Scilit]
  188. Roy, J.; Minotti, S.; Dong, L.; Figlewicz, D.A.; Durham, H.D. Glutamate potentiates the toxicity of mutant Cu/Zn-superoxide dismutase in motor neurons by postsynaptic calcium-dependent mechanisms. J. Neurosci. 1998, 18, 9673–9684. [Google Scholar] [CrossRef] [Scilit]
  189. French, P.W.; Ludowyke, R.I.; Guillemin, G.J. Fungal-contaminated grass and well water and sporadic amyotrophic lateral sclerosis. Neural Regen. Res. 2019, 14, 1490–1493. [Google Scholar] [CrossRef] [Scilit]
  190. Zilinskas, R.A. Iraq’s biological weapons: The past as future? JAMA 1997, 278, 418–424. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  191. Haley, R.W. Gulf war syndrome: Narrowing the possibilities. Lancet Neurol. 2003, 2, 272–273. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  192. Sava, V.; Reunova, O.; Velasquez, A.; Sanchez-Ramos, J. Can low level exposure to ochratoxin-A cause parkinsonism? J. Neurol. Sci. 2006, 249, 68–75. [Google Scholar] [CrossRef] [Scilit]
  193. Sava, V.; Velasquez, A.; Song, S.; Sanchez-Ramos, J. Adult hippocampal neural stem/progenitor cells in vitro are vulnerable to the mycotoxin ochratoxin-A. Toxicol. Sci. 2007, 98, 187–197. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  194. Bhat, P.V.; Anand, T.; Manu, T.M.; Khanum, F. Restorative effect of l-Dopa treatment against Ochratoxin A induced neurotoxicity. Neurochem. Int. 2018, 118, 252–263. [Google Scholar] [CrossRef] [Scilit]
  195. Vigasova, D.; Nemergut, M.; Liskova, B.; Damborsky, J. Multi-pathogen infections and Alzheimer’s disease. Microb. Cell Fact. 2021, 20, 25. [Google Scholar] [CrossRef] [Scilit]
  196. Alonso, R.; Pisa, D.; Rábano, A.; Carrasco, L. Alzheimer’s disease and disseminated mycoses. Eur. J. Clin. Microbiol. Infect. Dis. 2014, 33, 1125–1132. [Google Scholar] [CrossRef] [Scilit]
  197. Alonso, R.; Pisa, D.; Fernández-Fernández, A.M.; Carrasco, L. Infection of fungi and bacteria in brain tissue from elderly persons and patients with Alzheimer’s disease. Front. Aging Neurosci. 2018, 10, 159. [Google Scholar] [CrossRef] [Scilit]
  198. Alonso, R.; Pisa, D.; Rábano, A.; Rodal, I.; Carrasco, L. Cerebrospinal fluid from Alzheimer’s disease patients contains fungal proteins and DNA. J. Alzheimer’s Dis. 2015, 47, 873–876. [Google Scholar] [CrossRef] [Scilit]
  199. Ferrante, R.J. Mouse models of Huntington’s disease and methodological considerations for therapeutic trials. Biochim. Biophys. Acta (BBA) -Mol. Basis Dis. 2009, 1792, 506–520. [Google Scholar] [CrossRef] [Scilit]
  200. Vaezi, A.; Fakhim, H.; Abtahian, Z.; Khodavaisy, S.; Geramishoar, M.; Alizadeh, A.; Meis, J.F.; Badali, H. Frequency and geographic distribution of CARD9 mutations in patients with severe fungal infections. Front. Microbiol. 2018, 9, 2434. [Google Scholar] [CrossRef] [Scilit]
  201. Speakman, E.A.; Dambuza, I.M.; Salazar, F.; Brown, G.D. T cell antifungal immunity and the role of C-type lectin receptors. Trends Immunol. 2020, 41, 61–76. [Google Scholar] [CrossRef] [Scilit]
  202. Drummond, R.A. Neuro-immune mechanisms of anti-cryptococcal protection. J. Fungi 2017, 4, 4. [Google Scholar] [CrossRef] [Scilit]
  203. Wu, C.; Jiang, M.-L.; Jiang, R.; Pang, T.; Zhang, C.-J. The roles of fungus in CNS autoimmune and neurodegeneration disorders. Front. Immunol. 2023, 13, 1077335. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  204. Comella, C.L.; Pullman, S.L. Botulinum toxins in neurological disease. Muscle Nerve 2004, 29, 628–644. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  205. Luvisetto, S. Botulinum neurotoxins in central nervous system: An overview from animal models to human therapy. Toxins 2021, 13, 751. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  206. Poulain, B.; Lemichez, E.; Popoff, M.R. Neuronal selectivity of botulinum neurotoxins. Toxicon 2020, 178, 20–32. [Google Scholar] [CrossRef] [Scilit]
  207. Kumar, R.; Dhaliwal, H.P.; Kukreja, R.V.; Singh, B.R. The botulinum toxin as a therapeutic agent: Molecular structure and mechanism of action in motor and sensory systems. Semin. Neurol. 2016, 36, 010–019. [Google Scholar] [CrossRef] [Scilit]
  208. Lin, Y.-H.; Chiang, B.-J.; Liao, C.-H. Mechanism of action of botulinum toxin A in treatment of functional urological disorders. Toxins 2020, 12, 129. [Google Scholar] [CrossRef] [Scilit]
  209. Matak, I.; Bölcskei, K.; Bach-Rojecky, L.; Helyes, Z. Mechanisms of botulinum toxin type A action on pain. Toxins 2019, 11, 459. [Google Scholar] [CrossRef] [Scilit]
  210. Luvisetto, S.; Gazerani, P.; Cianchetti, C.; Pavone, F. Botulinum toxin type a as a therapeutic agent against headache and related disorders. Toxins 2015, 7, 3818–3844. [Google Scholar] [CrossRef] [Scilit]
  211. Ray, J.C.; Hutton, E.J.; Matharu, M. OnabotulinumtoxinA in migraine: A review of the literature and factors associated with efficacy. J. Clin. Med. 2021, 10, 2898. [Google Scholar] [CrossRef] [Scilit]
  212. Moore, C.; Hulsopple, C.; Boyce, B. Utilization of botulinum toxin for musculoskeletal disorders. Curr. Sports Med. Rep. 2020, 19, 217–222. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  213. Egeo, G.; Fofi, L.; Barbanti, P. Botulinum neurotoxin for the treatment of neuropathic pain. Front. Neurol. 2020, 11, 716. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  214. Ferrari, E.; Maywood, E.S.; Restani, L.; Caleo, M.; Pirazzini, M.; Rossetto, O.; Hastings, M.H.; Niranjan, D.; Schiavo, G.; Davletov, B. Re-assembled botulinum neurotoxin inhibits CNS functions without systemic toxicity. Toxins 2011, 3, 345–355. [Google Scholar] [CrossRef] [Scilit]
  215. Mangione, A.S.; Obara, I.; Maiarú, M.; Geranton, S.M.; Tassorelli, C.; Ferrari, E.; Leese, C.; Davletov, B.; Hunt, S.P. Nonparalytic botulinum molecules for the control of pain. Pain 2016, 157, 1045–1055. [Google Scholar] [CrossRef] [Scilit]
  216. Maiarù, M.; Leese, C.; Certo, M.; Echeverria-Altuna, I.; Mangione, A.S.; Arsenault, J.; Davletov, B.; Hunt, S.P. Selective neuronal silencing using synthetic botulinum molecules alleviates chronic pain in mice. Sci. Transl. Med. 2018, 10, eaar7384. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  217. Tao, L.; Peng, L.; Berntsson, R.P.-A.; Liu, S.M.; Park, S.; Yu, F.; Boone, C.; Palan, S.; Beard, M.; Chabrier, P.-E. Engineered botulinum neurotoxin B with improved efficacy for targeting human receptors. Nat. Commun. 2017, 8, 53. [Google Scholar] [CrossRef] [Scilit]
  218. Webb, R.P. Engineering of botulinum neurotoxins for biomedical applications. Toxins 2018, 10, 231. [Google Scholar] [CrossRef] [Scilit]
  219. Fonfria, E.; Elliott, M.; Beard, M.; Chaddock, J.A.; Krupp, J. Engineering botulinum toxins to improve and expand targeting and SNARE cleavage activity. Toxins 2018, 10, 278. [Google Scholar] [CrossRef] [Scilit]
  220. Tang, M.; Meng, J.; Wang, J. New engineered-botulinum toxins inhibit the release of pain-related mediators. Int. J. Mol. Sci. 2019, 21, 262. [Google Scholar] [CrossRef] [Scilit]
  221. Elliott, M.; Favre-Guilmard, C.; Liu, S.M.; Maignel, J.; Masuyer, G.; Beard, M.; Boone, C.; Carré, D.; Kalinichev, M.; Lezmi, S. Engineered botulinum neurotoxin B with improved binding to human receptors has enhanced efficacy in preclinical models. Sci. Adv. 2019, 5, eaau7196. [Google Scholar] [CrossRef] [Scilit]
  222. Hao, F.; Feng, Y.; Guan, Y. A novel botulinum toxin TAT-EGFP-HCS fusion protein capable of specific delivery through the blood-brain barrier to the central nervous system. CNS Neurol. Disord.-Drug Targets 2019, 18, 37–43. [Google Scholar] [CrossRef] [Scilit]
  223. Rasetti-Escargueil, C.; Popoff, M.R. Engineering botulinum neurotoxins for enhanced therapeutic applications and vaccine development. Toxins 2020, 13, 1. [Google Scholar] [CrossRef] [Scilit]
  224. Sikorra, S.; Donald, S.; Elliott, M.; Schwede, S.; Coker, S.-F.; Kupinski, A.P.; Tripathi, V.; Foster, K.; Beard, M.; Binz, T. Engineering an effective human SNAP-23 cleaving botulinum neurotoxin A variant. Toxins 2020, 12, 804. [Google Scholar] [CrossRef] [Scilit]
  225. Johnson, E.A. Clostridium botulinum. In Food Microbiology: Fundamentals and Frontiers; Wiley: Hoboken, NJ, USA, 2012; pp. 441–463. [Google Scholar]
  226. Pirazzini, M.; Montecucco, C.; Rossetto, O. Toxicology and pharmacology of botulinum and tetanus neurotoxins: An update. Arch. Toxicol. 2022, 96, 1521–1539. [Google Scholar] [CrossRef] [Scilit]
  227. Magembe, K.S. Mycotoxins impact in food, human and animal health with special reference to aflatoxins, fumonisins, ochratoxins, zearalenone, and deoxynivalenol: A 13 year review (2010–2023). Eur. J. Res. Med. Sci. 2025, 10, 1–36. [Google Scholar]
  228. Islam, M.T.; Mishra, S.K.; Tripathi, S.; de Alencar, M.V.O.B.; e Sousa, J.M.d.C.; Rolim, H.M.L.; de Medeiros, M.d.G.F.; Ferreira, P.M.P.; Rouf, R.; Uddin, S.J. Mycotoxin-assisted mitochondrial dysfunction and cytotoxicity: Unexploited tools against proliferative disorders. IUBMB Life 2018, 70, 1084–1092. [Google Scholar] [CrossRef] [Scilit]
  229. Bao, Y.; Hu, C.; Wang, B.; Liu, X.; Wu, Q.; Xu, D.; Shi, Z.; Sun, C. Mitochondrial reverse electron transport: Mechanisms, pathophysiological roles, and therapeutic potential. Biology 2025, 14, 1140. [Google Scholar] [CrossRef] [Scilit]
  230. Swerdlow, R.H. Brain aging, Alzheimer’s disease, and mitochondria. Biochim. Biophys. Acta (BBA) -Mol. Basis Dis. 2011, 1812, 1630–1639. [Google Scholar] [CrossRef] [Scilit]
  231. Karbowski, M.; Neutzner, A. Neurodegeneration as a consequence of failed mitochondrial maintenance. Acta Neuropathol. 2012, 123, 157–171. [Google Scholar] [CrossRef] [Scilit]
  232. Rossignol, D.; Frye, R.E. Mitochondrial dysfunction in autism spectrum disorders: A systematic review and meta-analysis. Mol. Psychiatry 2012, 17, 290–314. [Google Scholar] [CrossRef] [Scilit]
  233. Kakde, U. Mycotoxins and its impact on human populations. MOJ Bioequiv. Availab. 2017, 3, 131–132. [Google Scholar] [CrossRef] [Scilit]
  234. Lorenz, S.; Mattson, P. Cinemicrographic observations of cultured adrenocortical tumor cells: Dynamic responses to ACTH and cytochalasin B. Virchows Arch. B 1986, 52, 221–236. [Google Scholar] [CrossRef] [Scilit]
  235. Aleo, M.D.; Wyatt, R.D.; Schnellmann, R.G. Mitochondrial dysfunction is an early event in ochratoxin A but not oosporein toxicity to rat renal proximal tubules. Toxicol. Appl. Pharmacol. 1991, 107, 73–80. [Google Scholar] [CrossRef] [Scilit]
  236. Chatopadhyay, P.; Tariang, B.; Agnihotri, A.; Veer, V. Synergism of ochratoxin B and calcium-channel antagonist verapamil caused mitochondrial dysfunction. Toxicol. Mech. Methods 2014, 24, 428–432. [Google Scholar] [CrossRef] [Scilit]
  237. Hao, J.; Wu, W.; Wang, Y.; Yang, Z.; Liu, Y.; Lv, Y.; Zhai, Y.; Yang, J.; Liang, Z.; Huang, K. Arabidopsis thaliana defense response to the ochratoxin A-producing strain (Aspergillus ochraceus 3.4412). Plant Cell Rep. 2015, 34, 705–719. [Google Scholar] [CrossRef] [Scilit]
  238. Wang, Y.; Peng, X.; Yang, Z.; Zhao, W.; Xu, W.; Hao, J.; Wu, W.; Shen, X.L.; Luo, Y.; Huang, K. iTRAQ mitoproteome analysis reveals mechanisms of programmed cell death in Arabidopsis thaliana induced by ochratoxin A. Toxins 2017, 9, 167. [Google Scholar] [CrossRef] [Scilit]
  239. Pardo, J.; Urban, C.; Galvez, E.M.; Ekert, P.G.; Müller, U.; Kwon-Chung, J.; Lobigs, M.; Müllbacher, A.; Wallich, R.; Borner, C. The mitochondrial protein Bak is pivotal for gliotoxin-induced apoptosis and a critical host factor of Aspergillus fumigatus virulence in mice. J. Cell Biol. 2006, 174, 509–519. [Google Scholar] [CrossRef] [Scilit]
  240. Yekkour, A.; Tran, D.; Arbelet-Bonnin, D.; Briand, J.; Mathieu, F.; Lebrihi, A.; Errakhi, R.; Sabaou, N.; Bouteau, F. Early events induced by the toxin deoxynivalenol lead to programmed cell death in Nicotiana tabacum cells. Plant Sci. 2015, 238, 148–157. [Google Scholar] [CrossRef] [Scilit]
  241. Belmadani, A.; Tramu, G.; Betbeder, A.; Creppy, E. Subchronic effects of ochratoxin A on young adult rat brain and partial prevention by aspartame, a sweetener. Hum. Exp. Toxicol. 1998, 17, 380–386. [Google Scholar] [CrossRef] [Scilit]
  242. Sava, V.; Reunova, O.; Velasquez, A.; Harbison, R.; Sanchez-Ramos, J. Acute neurotoxic effects of the fungal metabolite ochratoxin-A. Neurotoxicology 2006, 27, 82–92. [Google Scholar] [CrossRef] [Scilit]
  243. Baudrimont, I.; Ahouandjivo, R.; Creppy, E. Prevention of lipid peroxidation induced by ochratoxin A in Vero cells in culture by several agents. Chem.-Biol. Interact. 1997, 104, 29–40. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  244. Bertelli, A.A.; Migliori, M.; Filippi, C.; Gagliano, N.; Donetti, E.; Panichi, V.; Scalori, V.; Colombo, R.; Mannari, C.; Tillement, J.-P. Effect of ethanol and red wine on ochratoxin a-induced experimental acute nephrotoxicity. J. Agric. Food Chem. 2005, 53, 6924–6929. [Google Scholar] [CrossRef] [Scilit]
  245. Kamp, H.G.; Eisenbrand, G.; Schlatter, J.; Würth, K.; Janzowski, C. Ochratoxin A: Induction of (oxidative) DNA damage, cytotoxicity and apoptosis in mammalian cell lines and primary cells. Toxicology 2005, 206, 413–425. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  246. Petrik, J.; Žanić-Grubišić, T.; Barišić, K.; Pepeljnjak, S.; Radić, B.; Ferenčić, Ž.; Čepelak, I. Apoptosis and oxidative stress induced by ochratoxin A in rat kidney. Arch. Toxicol. 2003, 77, 685–693. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  247. Schaaf, G.; Nijmeijer, S.; Maas, R.; Roestenberg, P.; De Groene, E.; Fink-Gremmels, J. The role of oxidative stress in the ochratoxin A-mediated toxicity in proximal tubular cells. Biochim. Biophys. Acta (BBA) -Mol. Basis Dis. 2002, 1588, 149–158. [Google Scholar] [CrossRef] [Scilit]
  248. Mubarik, Y.; Boyetey, S.T.; Aikins, A.R.; Mutocheluh, M. Effect of Ochratoxin A (OTA) on the immune system: A systematic review. Toxins 2025, 17, 256. [Google Scholar] [CrossRef] [Scilit]
  249. Gautier, J.-C.; Holzhaeuser, D.; Markovic, J.; Gremaud, E.; Schilter, B.t.; Turesky, R.J. Oxidative damage and stress response from ochratoxin A exposure in rats. Free Radic. Biol. Med. 2001, 30, 1089–1098. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  250. Bryan, N.S.; Rassaf, T.; Maloney, R.E.; Rodriguez, C.M.; Saijo, F.; Rodriguez, J.R.; Feelisch, M. Cellular targets and mechanisms of nitros(yl)ation: An insight into their nature and kinetics in vivo. Proc. Natl. Acad. Sci. USA 2004, 101, 4308–4313. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  251. Thomas, J.A.; Mallis, R.J. Aging and oxidation of reactive protein sulfhydryls. Exp. Gerontol. 2001, 36, 1519–1526. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  252. Prusiner, S.B. Novel proteinaceous infectious particles cause scrapie. Science 1982, 216, 136–144. [Google Scholar] [CrossRef] [Scilit]
  253. Zhu, C.; Aguzzi, A. Prion protein and prion disease at a glance. J. Cell Sci. 2021, 134, jcs245605. [Google Scholar] [CrossRef] [Scilit]
  254. Riesner, D. Transmissible spongiform encephalopathies: The prion theory-background and basic information. In Prions; Karger: Basel, Switzerland, 2004; Volume 11, pp. 1–13. [Google Scholar]
  255. Stahl, N.; Borchelt, D.R.; Hsiao, K.; Prusiner, S.B. Scrapie prion protein contains a phosphatidylinositol glycolipid. Cell 1987, 51, 229–240. [Google Scholar] [CrossRef] [Scilit]
  256. Strumbo, B.; Ronchi, S.; Bolis, L.C.; Simonic, T. Molecular cloning of the cDNA coding for Xenopus laevis prion protein. FEBS Lett. 2001, 508, 170–174. [Google Scholar] [CrossRef] [Scilit]
  257. Rivera-Milla, E.; Stuermer, C.A.; Málaga-Trillo, E. An evolutionary basis for scrapie disease: Identification of a fish prion mRNA. Trends Genet. 2003, 19, 72–75. [Google Scholar] [CrossRef] [Scilit]
  258. Autenried, P.; Aguet, M.; Weissmann, C.; Zentrallabor, B. Mice Devoid of PrP Are Resistant to Scrapie. Cell 2004, 116, 1339–1347. [Google Scholar]
  259. Chesebro, B.; Trifilo, M.; Race, R.; Meade-White, K.; Teng, C.; LaCasse, R.; Raymond, L.; Favara, C.; Baron, G.; Priola, S. Anchorless prion protein results in infectious amyloid disease without clinical scrapie. Science 2005, 308, 1435–1439. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  260. Galkin, A.P.; Sysoev, E.I.; Valina, A.A. Amyloids and prions in the light of evolution. Curr. Genet. 2023, 69, 189–202. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  261. Yousaf, S.; Ahmad, M.; Wu, S.; Zia, M.A.; Ahmed, I.; Iqbal, H.M.; Liu, Q.; Rehman, S.u. Cellular Prion Protein Role in Cancer Biology: Is It A Potential Therapeutic Target? Biomedicines 2022, 10, 2833. [Google Scholar] [CrossRef] [Scilit]
  262. Sailer, A. No propagation of prions in mice devoid of PrP. Cell 1994, 77, 967–968. [Google Scholar] [CrossRef] [Scilit]
  263. McGlinchey, R.P.; Kryndushkin, D.; Wickner, R.B. Suicidal [PSI+] is a lethal yeast prion. Proc. Natl. Acad. Sci. USA 2011, 108, 5337–5341. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  264. Wickner, R.B.; Edskes, H.K.; Shewmaker, F.; Nakayashiki, T. Prions of fungi: Inherited structures and biological roles. Nat. Rev. Microbiol. 2007, 5, 611–618. [Google Scholar] [CrossRef] [Scilit]
  265. Wickner, R.B. Yeast and fungal prions. Cold Spring Harb. Perspect. Biol. 2016, 8, a023531. [Google Scholar] [CrossRef] [Scilit]
  266. Hasegawa, M.; Nonaka, T.; Masuda-Suzukake, M. Prion-like mechanisms and potential therapeutic targets in neurodegenerative disorders. Pharmacol. Ther. 2017, 172, 22–33. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  267. Brettschneider, J.; Tredici, K.D.; Lee, V.M.-Y.; Trojanowski, J.Q. Spreading of pathology in neurodegenerative diseases: A focus on human studies. Nat. Rev. Neurosci. 2015, 16, 109–120. [Google Scholar] [CrossRef] [Scilit]
Figure 1. The modulation of CNS development and inflammatory responses by metabolites derived from the pathogenic and non-pathogenic microbial species in the gut. Reprinted from [44], Copyright @2021 by the author and Springer Nature.
Figure 1. The modulation of CNS development and inflammatory responses by metabolites derived from the pathogenic and non-pathogenic microbial species in the gut. Reprinted from [44], Copyright @2021 by the author and Springer Nature.
Biomolecules 16 00790 g001
Figure 4. Understanding the link between oxidative stress and the gut microbiota in terms of neurodegeneration and neuroprotection. The colors and directional arrows represent pathological (red) versus healthy (green) pathways and their respective directional regulation as labeled. Reprinted from [119], Copyright @ 2022 by author and Elsevier B.V. on behalf of Cairo University.
Figure 4. Understanding the link between oxidative stress and the gut microbiota in terms of neurodegeneration and neuroprotection. The colors and directional arrows represent pathological (red) versus healthy (green) pathways and their respective directional regulation as labeled. Reprinted from [119], Copyright @ 2022 by author and Elsevier B.V. on behalf of Cairo University.
Biomolecules 16 00790 g004
Figure 5. Gram-negative bacteria cause neuronal death by triggering the neuron’s TLR4 signaling pathway. They also create a variety of exotoxins that can penetrate the BBB and affect the pathophysiology of AD, such as gingipain, MG, bacterial amyloid, and VacA. Aβ synthesis is enhanced by gingipain and MG, whereas Aβ aggregation is encouraged by bacterial amyloid. Neurofibrillary tangles are caused by tau hyperphosphorylation, likewise fueled by these bacteria and poisons. Furthermore, they cause neurodegeneration and neuronal death by inducing neuroinflammation by activating microglia and astrocytes, which release inflammatory cytokines like IL-6, IL-1β, and IL-18. Reprinted from [69], Copyright @ 2021 by author(s) and Springer Nature.
Figure 5. Gram-negative bacteria cause neuronal death by triggering the neuron’s TLR4 signaling pathway. They also create a variety of exotoxins that can penetrate the BBB and affect the pathophysiology of AD, such as gingipain, MG, bacterial amyloid, and VacA. Aβ synthesis is enhanced by gingipain and MG, whereas Aβ aggregation is encouraged by bacterial amyloid. Neurofibrillary tangles are caused by tau hyperphosphorylation, likewise fueled by these bacteria and poisons. Furthermore, they cause neurodegeneration and neuronal death by inducing neuroinflammation by activating microglia and astrocytes, which release inflammatory cytokines like IL-6, IL-1β, and IL-18. Reprinted from [69], Copyright @ 2021 by author(s) and Springer Nature.
Biomolecules 16 00790 g005
Figure 6. In fungal species, fungal carbohydrates are recognized by pattern recognition receptors (PRRs), triggering immunological responses. These receptors activate C-type lectin receptors (CLRs), initiate signaling pathways, and activate the Spleen Tyrosine Kinase (SYK)–CARD9 axis, which activates MAPK and NF-κB pathways, which produce chemokines and pro-inflammatory cytokines that support the development of CD4+ T cells. While dectin-1 activates non-canonical inflammasome activation through caspase-8, NLRP3 creates an inflammasome complex that generates IL-1β. Furthermore, Dendritic Cell-Specific Intercellular adhesion molecule-3-Grabbing Non-integrin (DC-SIGN) controls TLR signaling by causing dendritic cells’ NF-κB acetylation, while NK cells use their Natural Killer Cell p30-Related Protein and Natural Killer Cell p46-Related Protein (NKp30 and NKp46) receptors to identify the fungus. Reprinted from [203], Copyright © 2023 by the author and Frontiers In Immunology/Frontiers.
Figure 6. In fungal species, fungal carbohydrates are recognized by pattern recognition receptors (PRRs), triggering immunological responses. These receptors activate C-type lectin receptors (CLRs), initiate signaling pathways, and activate the Spleen Tyrosine Kinase (SYK)–CARD9 axis, which activates MAPK and NF-κB pathways, which produce chemokines and pro-inflammatory cytokines that support the development of CD4+ T cells. While dectin-1 activates non-canonical inflammasome activation through caspase-8, NLRP3 creates an inflammasome complex that generates IL-1β. Furthermore, Dendritic Cell-Specific Intercellular adhesion molecule-3-Grabbing Non-integrin (DC-SIGN) controls TLR signaling by causing dendritic cells’ NF-κB acetylation, while NK cells use their Natural Killer Cell p30-Related Protein and Natural Killer Cell p46-Related Protein (NKp30 and NKp46) receptors to identify the fungus. Reprinted from [203], Copyright © 2023 by the author and Frontiers In Immunology/Frontiers.
Biomolecules 16 00790 g006
Figure 7. The complex relationship between neurotoxins and synaptic vesicle proteins highlights the critical function of the SNARE complex in neurotransmitter release and how the neurotoxins disrupt this biological process. 1. Binding: Using the C-terminal domain of the toxin, neurotoxins first bind to a polysialoganglioside molecule and a protein receptor on the cell surface. 2. Internalization: The neurotoxin is driven by this binding into the synaptic vesicle lumen, where it is acidified by a proton pump to promote the accumulation of neurotransmitters. 3. Translocation: With the aid of the chaperone Hsp90, the acidic environment causes a structural shift that allows the HN domain to pass through the membrane and translocate the metalloprotease domain into the cytoplasm. 4. Disulfide Bond Reduction: The NADH-Thioredoxin-Thioredoxin Reductase system inside the cytosol reduces the disulfide bond that binds the HN and metalloprotease domains, releasing the metalloprotease. 5. The metalloprotease cleaves a SNARE protein (VAMP, SNAP25, or Syntaxin) to stop neurotransmitter release and interfere with synaptic transmission. This process is known as SNARE Cleavage. Reprinted from [226] Copyright © 2022 by the author and Archives of Toxicology/Springer Nature.
Figure 7. The complex relationship between neurotoxins and synaptic vesicle proteins highlights the critical function of the SNARE complex in neurotransmitter release and how the neurotoxins disrupt this biological process. 1. Binding: Using the C-terminal domain of the toxin, neurotoxins first bind to a polysialoganglioside molecule and a protein receptor on the cell surface. 2. Internalization: The neurotoxin is driven by this binding into the synaptic vesicle lumen, where it is acidified by a proton pump to promote the accumulation of neurotransmitters. 3. Translocation: With the aid of the chaperone Hsp90, the acidic environment causes a structural shift that allows the HN domain to pass through the membrane and translocate the metalloprotease domain into the cytoplasm. 4. Disulfide Bond Reduction: The NADH-Thioredoxin-Thioredoxin Reductase system inside the cytosol reduces the disulfide bond that binds the HN and metalloprotease domains, releasing the metalloprotease. 5. The metalloprotease cleaves a SNARE protein (VAMP, SNAP25, or Syntaxin) to stop neurotransmitter release and interfere with synaptic transmission. This process is known as SNARE Cleavage. Reprinted from [226] Copyright © 2022 by the author and Archives of Toxicology/Springer Nature.
Biomolecules 16 00790 g007
Figure 8. Molecular processes underlying mitochondrial malfunction and cellular events. Abbreviations: BAX (Bcl-2-associated X protein), ATP (adenosine triphosphate), CVDs (cardiovascular diseases), MAPK (mitogen-activated protein kinase), GSK3β (glycogen synthase kinase-3 beta), PTPO (permeability transition pore), and ROS (reactive oxygen species). Reprinted from [228]. Copyright @ 2018, International Union of Biochemistry and Molecular Biology.
Figure 8. Molecular processes underlying mitochondrial malfunction and cellular events. Abbreviations: BAX (Bcl-2-associated X protein), ATP (adenosine triphosphate), CVDs (cardiovascular diseases), MAPK (mitogen-activated protein kinase), GSK3β (glycogen synthase kinase-3 beta), PTPO (permeability transition pore), and ROS (reactive oxygen species). Reprinted from [228]. Copyright @ 2018, International Union of Biochemistry and Molecular Biology.
Biomolecules 16 00790 g008
Figure 9. SOD1 native and off-folding pathways. (A) Native folding (green) yields a stable enzyme after metal binding; ALS-associated mutations (red) promote misfolding and aggregation. (B) SOD1 structure with mutation-prone regions highlighted.
Figure 9. SOD1 native and off-folding pathways. (A) Native folding (green) yields a stable enzyme after metal binding; ALS-associated mutations (red) promote misfolding and aggregation. (B) SOD1 structure with mutation-prone regions highlighted.
Biomolecules 16 00790 g009
Table 2. Examples of mycotoxins triggering different physiological responses.
Table 2. Examples of mycotoxins triggering different physiological responses.
MycotoxinCell Culture ModelAssayMechanism of ActionLevel of Evidence References
PatulinMouse enteric neurons
SH-SY5Y
Measurement of neurite outgrowth.
Calcium flux analysis using Calbryte 520
glucose-Glo assay
The Cell Titer-Glo Assay
The ROS-Glo H2O2 assay
Reduced viability and ROS generation in SH-SY5Y.
Reduced overall neurite mass, elevated calcium entry, decreased viability, and decreased cellular glucose concentration in enteric neurons
Low to Moderate evidence [169]
Fumonisin B1Mouse astrocytes
BV-2
N2a
Mouse cortical neurons
3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay
Propidium iodide + Annexin V staining
qPCR
Thymidine incorporation
Lactate dehydrogenase assay
Reduced viability and necrotic cell death in BV-2-infected astrocytes. Minimized BV-2 proliferation. Downregulated TNFα and IL-1β in BV-2+ astrocytes.
No alterations in cortical neurons or N2. Reduced BV-2 proliferation.
Low to Moderate evidence [170]
Lolitrem BHEK293ElectrophysiologySuppressed potassium currents in the hSlo channel across various depolarizing voltages in a concentration-dependent way.Low evidence [171]
PatulinHEK293Transcriptome and proteome profiles using digital gene expression (DGE) and isobaric tagging (iTRAQ).
Cell Counting Kit-8
Lactate dehydrogenase assay.
The MTT assay
Alterations in the expression of genes or proteins linked to the cell cycle, oxidative phosphorylation, ribosome, and apoptosis
Cell death is mediated by caspase through an inherent apoptotic pathway
Cytochrome C is released into the cytosol from mitochondria.
Moderate evidence [172]
Ochratoxin AHT22
SH-SY5Y
The 2′,7′-Dichlorofluorescein (DCF) test generates reactive oxygen species (ROS).
Proteomic study using 2-DE gels.
Lactate dehydrogenase assay.
Hoechst staining and Western blot analysis.
The MTT assay
Overexpression of proteins linked to the etiology of neurodegenerative diseases in HT22
SH-SY5Y + HT22 showed decreased viability and elevated oxidative stress.
Increased p53 phosphorylation and caspase activation in HT22
Moderate evidence[173]
Penitrem ARat granule neurons in the cerebellumROS generation by DCF assay
MTT assay
Increased ROS production.
Cell survival decreases with time and concentration
Moderate evidence [174]
Ochratoxin ARat cortical neurons
SH-SY5Y
Mitochondrial membrane potential assessment by JC-1 staining
DNA fragmentation assay
Western blot analysis
Neutral red assay
Reduced number of cells, fewer neurites, and some tubercles in primary neurons.
Reduced potential of the mitochondrial membrane.
Reduced viability in cortical neurons expressing SH-SY5Y and increased sensitivity in primary neurons.
Apoptosis triggered by caspases in cortical neurons and SH-SY5Y
Moderate evidence [175]
Penitrem ARat cerebellar synaptosomesAssay for [3H] GABA + [3H] glutamate absorption and lactate dehydrogenase activity.The reduction of neurotransmitter uptake was not caused by hole formation or disruption of the plasma membrane, as evidenced by the unchanged levels of the cytosolic marker lactate dehydrogenase.
inhibition of [3H] GABA + [3H] glutamate’s high affinity uptake
Moderate evidence[176]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Singh, A.A.; Khan, F.; Song, M. Role of Microbial Toxins in Neurodegenerative Diseases: Insights and Future Perspectives. Biomolecules 2026, 16, 790. https://doi.org/10.3390/biom16060790

AMA Style

Singh AA, Khan F, Song M. Role of Microbial Toxins in Neurodegenerative Diseases: Insights and Future Perspectives. Biomolecules. 2026; 16(6):790. https://doi.org/10.3390/biom16060790

Chicago/Turabian Style

Singh, Alka Ashok, Fazlurrahman Khan, and Minseok Song. 2026. "Role of Microbial Toxins in Neurodegenerative Diseases: Insights and Future Perspectives" Biomolecules 16, no. 6: 790. https://doi.org/10.3390/biom16060790

APA Style

Singh, A. A., Khan, F., & Song, M. (2026). Role of Microbial Toxins in Neurodegenerative Diseases: Insights and Future Perspectives. Biomolecules, 16(6), 790. https://doi.org/10.3390/biom16060790

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop