Search Results (56)

Background/Objectives: Passiflora (passionflower), traditionally used for anxiety and insomnia, is primarily known for GABAergic modulation. However, evidence suggests broader neuropharmacological actions. This review aimed to systematically explore non-GABAergic mechanisms of Passiflora. Methods: We performed a systematic review following PRISMA Guidelines (PROSPERO: CRD420251028681). PubMed/Medline, PsycINFO, Embase, Web of Science, and Scopus were searched for original research on non-GABA neurobiological mechanisms of Passiflora species (P. incarnata, P. edulis, P. caerulea, P. actinia, P. foetida). Studies were screened and assessed for eligibility, and data on design, Passiflora preparation, mechanisms, and main findings were extracted. Results: Thirteen studies revealed diverse non-GABAergic actions. Passiflora modulates opioidergic and nicotinic cholinergic systems (relevant to analgesia), monoaminergic pathways (affecting dopamine, norepinephrine, serotonin), and the glutamatergic system (offering neuroprotection via NMDA receptor inhibition). It also exhibits significant anti-inflammatory and antioxidant effects (reducing cytokines, activating Nrf2) and modulates the HPA axis (reducing stress hormones). Other mechanisms include gut microbiota modulation and metabolic effects. Conclusions: Passiflora’s therapeutic potential extends beyond GABA, involving multiple neurotransmitter systems and neuroprotective, anti-inflammatory, antioxidant, and HPA axis-regulating activities. This multi-target profile likely contributes to its clinical efficacy in conditions like anxiety, pain, and stress, potentially with a favorable side-effect profile. Further research, including mechanistic studies and clinical trials with relevant biomarkers, is needed to fully elucidate its complex pharmacology. Full article

Background/Objectives: Substance use disorders, particularly opioid addiction, continue to pose a major global health and toxicological challenge. Morphine dependence represents a significant problem in both clinical practice and preclinical research, particularly in modeling the pharmacodynamics of withdrawal. Rodent models remain indispensable for investigating the neurotoxicological effects of chronic opioid exposure and withdrawal. However, conventional behavioral assessments rely on manual observation, limiting objectivity, reproducibility, and scalability—critical constraints in modern drug toxicity evaluation. This study introduces MWB_Analyzer, an automated and high-throughput system designed to quantitatively and objectively assess morphine withdrawal behaviors in rats. The goal is to enhance toxicological assessments of CNS-active substances through robust, scalable behavioral phenotyping. Methods: MWB_Analyzer integrates optimized multi-angle video capture, real-time signal processing, and machine learning-driven behavioral classification. An improved YOLO-based architecture was developed for the accurate detection and categorization of withdrawal-associated behaviors in video frames, while a parallel pipeline processed audio signals. The system incorporates behavior-specific duration thresholds to isolate pharmacologically and toxicologically relevant behavioral events. Experimental animals were assigned to high-dose, low-dose, and control groups. Withdrawal was induced and monitored under standardized toxicological protocols. Results: MWB_Analyzer achieved over 95% reduction in redundant frame processing, markedly improving computational efficiency. It demonstrated high classification accuracy: >94% for video-based behaviors (93% on edge devices) and >92% for audio-based events. The use of behavioral thresholds enabled sensitive differentiation between dosage groups, revealing clear dose–response relationships and supporting its application in neuropharmacological and neurotoxicological profiling. Conclusions: MWB_Analyzer offers a robust, reproducible, and objective platform for the automated evaluation of opioid withdrawal syndromes in rodent models. It enhances throughput, precision, and standardization in addiction research. Importantly, this tool supports toxicological investigations of CNS drug effects, preclinical pharmacokinetic and pharmacodynamic evaluations, drug safety profiling, and regulatory assessment of novel opioid and CNS-active therapeutics. Full article

Ionotropic glutamate receptors—including N-methyl-d-aspartate (NMDA), α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA), and kainate receptors—play a pivotal role in excitatory signaling in the central nervous system (CNS), which is particularly important for learning and memory processes. Among them, AMPA and kainate receptors (known as ‘non-NMDA’ receptors) have gained increasing attention as therapeutic targets for various CNS disorders. Positive allosteric modulators (PAMs) of these receptors enhance their activity without directly activating them, offering a promising strategy to fine-tune glutamatergic signaling with potentially fewer side effects compared to orthosteric agonists. This review presents a comprehensive overview of recent advances in the development of AMPA and kainate receptor PAMs. We classify the most relevant modulators into main chemotype groups and discuss their binding modes, structure–activity relationships, and efficacy as determined through in vitro and in vivo studies. Additionally, we provide an overview of AMPA receptor PAMs that have entered into clinical trials over the past few decades. The increasing interest in kainate receptor PAMs is also mentioned, underlining their emerging role in future neuropharmacological strategies. Full article

Background: Shirakiopsis indica (Willd.) (Family: Euphorbiaceae), a mangrove species found in the Asian region, is a popular folkloric plant. Locally, the plant is traditionally used to treat various types of ailments, especially for pain relief. Therefore, the current study investigates the neuropharmacological, antipyretic, thrombolytic, and anthelmintic properties of the S. indica fruit methanolic extract (SIF-ME). Methods: The neuropharmacological activity was evaluated using several bioactive assays, and the antipyretic effect was investigated using the yeast-induced pyrexia method, both in Swiss albino mice models. Human blood clot lysis was employed to assess thrombolytic activity, while in vitro anthelmintic characteristics were tested on Tubifex tubifex. Insights into phytochemicals from SIF-ME have also been reported from a literature review, which were further subjected to molecular docking, pass prediction, and ADME/T analysis and validated the wet-lab outcomes. Results: In the elevated plus maze test, SIF-ME at 400 mg/kg demonstrated significant anxiolytic effects (200.16 ± 1.76 s in the open arms, p < 0.001). SIF-ME-treated mice exhibited increased head dipping behavior and spent a longer time in the light box, confirming strong anxiolytic activity in the hole board and light–dark box tests, respectively. It (400 mg/kg) also significantly reduced depressive behavior during forced swimming and tail suspension tests (98.2 ± 3.83 s and 126.33 ± 1.20 s, respectively). The extract induced strong locomotor activity, causing mice’s mobility to gradually decrease over time in the open field and hole cross tests. The antipyretic effect of SIF-ME (400 mg/kg) was minimal using the yeast-induced pyrexia method, while it (100 μg/mL) killed T. tubifex in 69.33 ± 2.51 min, indicating a substantial anthelmintic action. SIF-ME significantly reduced blood clots by 67.74% (p < 0.001), compared to the control group’s 5.56%. The above findings have also been predicted by in silico molecular docking studies. According to the molecular docking studies, the extract’s constituents have binding affinities ranging from 0 to −10.2 kcal/mol for a variety of human target receptors, indicating possible pharmacological activity. Conclusions: These findings indicate that SIF-ME could serve as a promising natural source of compounds with neuropharmacological, anthelmintic, thrombolytic, and antipyretic properties. Full article

Background: The development of cerebral organoids created from human pluripotent stem cells in 3D culture may greatly improve the discovery of neuropsychiatric medicines. Methods: In the current study we differentiated neural organoids from a human pluripotent stem cell line in vitro, recorded the development of neurophysiological activity using multielectrode arrays (MEAs) and characterized the neuropharmacology of synaptic signaling over 8 months in vitro. In addition, we investigated the ability of these organoids to display epileptiform activity in response to a convulsant agent and the effects of antiseizure medicines to inhibit this abnormal activity. Results: Single and bursts of action potentials from individual neurons and network bursts were recorded on the MEA plates and significantly increased and became more complex from week 7 to week 30, consistent with neural network formation. Neural spiking was reduced by the Na channel blocker tetrodotoxin but increased by the inhibitor of K_V7 potassium channels XE991, confirming the involvement of voltage-gated sodium and potassium channels in action potential activity. The GABA antagonists bicuculline and picrotoxin each increased the spike rate, consistent with inhibitory synaptic signaling. In contrast, the glutamate receptor antagonist kynurenic acid inhibited the spike rate, consistent with excitatory synaptic transmission in the organoids. The convulsant 4-aminopyridine increased spiking, bursts and synchronized firing, consistent with epileptiform activity in vitro. The anticonvulsants carbamazepine, ethosuximide and diazepam each inhibited this epileptiform neural activity. Conclusions: Together, our data demonstrate that neural organoids form inhibitory and excitatory synaptic circuits, generate epileptiform activity in response to a convulsant agent and detect the antiseizure properties of diverse antiepileptic drugs, supporting their value in drug discovery. Full article

Nanotherapeutics have emerged as novel unparalleled drug delivery systems (DDSs) for the treatment of neurodegenerative disorders. By applying different technological approaches, nanoparticles can be engineered to possess different functionalities. In recent years, the developed, stimuli-responsive nanocarriers stand out as novel complex DDSs ensuring selective and specific drug delivery in response to different endogenous and exogenous stimuli. Due to the multifaceted pathophysiology of the nervous system, a major challenge in modern neuropharmacology is the development of effective therapies ensuring high efficacy and low toxicity. Functionalization of the nanocarriers to react to specific microenvironmental changes in the nervous system tissues or external stimulations significantly enhances the efficacy of drug delivery. This review discusses the microenvironmental characteristics of some common neurological diseases in-depth and provides a comprehensive overview on the progress of the development of exogenous and endogenous stimuli-sensitive nanocarriers for the treatment of Alzheimer’s and Parkinson’s disease. Full article

Suk-SaiYasna (SSY) is a well-documented traditional Thai herbal formula in the Royal Scripture of King Narai’s Traditional Medicine. SSY contains Cannabis sativa leaves as a key ingredient and has traditionally been used to promote sleep, alleviate stress-related symptoms, and stimulate appetite. This study aimed to investigate the neuroprotective effects of SSY in a mouse model of unpredictable chronic mild stress (UCMS)-induced cognitive impairment and explore the underlying mechanisms, particularly antioxidant enzyme pathways. Behavioral tests, including the Y-maze test, novel object recognition test, and Morris water maze test, demonstrated that UCMS-exposed mice exhibited cognitive impairment compared to non-stress mice. However, SSY treatment significantly improved learning and memory performance in UCMS-exposed mice. Mechanistic studies revealed that SSY reduced lipid peroxidation in the hippocampus and frontal cortex, key brain regions affected by chronic stress. Furthermore, UCMS significantly reduced the activity of antioxidant enzymes superoxide dismutase (SOD) and catalase (CAT), whereas SSY treatment restored their activity, indicating antioxidative and neuroprotective effects in vivo. Gene expression analysis further revealed that SSY regulates oxidative stress via the Nrf2/Keap1 signaling pathway. In vitro studies using 2,2′-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid (ABTS) and 2,2-diphenyl-1-picrylhydrazyl (DPPH) assay confirmed the radical scavenging activities of SSY and its herbal components, demonstrating significant antioxidant potential. Phytochemical analysis identified delta-9-tetrahydrocannabinol, delta-9-tetrahydrocannabinolic acid A, and cannabinoids as bioactive compounds in SSY, along with potent antioxidants such as gallic acid, myricetin, myristicin, piperine, costunolide, and gingerol. These findings suggest that the SSY formula mitigates UCMS-induced cognitive function through its antioxidant properties via multiple pathways, including radical scavenging activities, modulating the Nrf2-Keap1 pathway, inducing the expression of HO-1, NQO1 mRNAs, and other antioxidant enzymes. This work bridges traditional Thai medicine with modern neuropharmacology. Full article

The search for novel compounds with anticonvulsant properties remains a key focus in neuropharmacology. Recently, the diazepine-benzimidazole derivative, DAB-19, has emerged as a promising candidate due to its demonstrated anxiolytic and analgesic effects. In this study, we investigate the mechanisms underlying DAB-19’s activity, focusing on its impact on glutamatergic transmission, a key target in the pathophysiology of various central nervous system disorders. Intriguingly, while DAB-19 suppressed evoked glutamatergic transmission in rat brain slices, it simultaneously enhanced spontaneous neurotransmission. Further experiments on glutamatergic neuromuscular synapses in fly larvae revealed two distinct mechanisms: calcium-dependent potentiation of glutamate release and inhibition of spike propagation via blockade of voltage-gated sodium channels. The latter effect was directly confirmed in rat brain neurons. Given its action on sodium channels, we tested DAB-19 in the pentylenetetrazole model, where it delayed seizure onset but did not prevent seizures. These findings position DAB-19 as a multifaceted compound with significant therapeutic potential. Full article

This review explores the application of nanomaterial-based sensing systems for precisely detecting neuropharmaceutical compounds and neurotransmitters, delving into the connections between nanotechnology and neuropharmacology. Nanotechnology appears as a promising solution for many significant challenges posed by the complexities of the brain’s biochemical nature. Using nanoscale materials, scientists have created novel sensors with high selectivity, sensitivity, and adaptability. Developing neuropharmaceutical compounds and monitoring their side effects on our neurological system raised the need for these nanomaterial-based sensors. In this review, we demonstrate the effectiveness of these technologies in real-time neuroactive compound detection and monitoring by illuminating the underlying principles through an examination of significant studies and recent developments. This review also highlights collaborative efforts at the intersection of nanotechnology and neuropharmacology and their direct and indirect effects on the understanding and controlling several neurological disorders. This review covers both sensors under research and those already applied in vivo or clinical monitoring of drug side effects. Full article

Background/Objectives: The blood–brain barrier (BBB) poses a major obstacle to delivering therapeutic agents to the central nervous system (CNS), driving the need for innovative drug delivery strategies. Among these, nanoparticles (NPs) have gained attention due to their ability to enhance drug transport, improve bioavailability, and enable targeted delivery. Methods: This paper explores various surface modification strategies employed to optimize NP-mediated drug delivery across the BBB. Specifically, the functionalization of NPs with ligands such as transferrin (Tf), lactoferrin (Lf), protamine, and insulin is discussed, each demonstrating unique mechanisms for enhancing brain-targeting efficiency. In addition, this work provides a comprehensive overview of recent scientific advancements and market strategies aimed at accelerating the adoption of low-cost, surface-modified nanoparticles, ultimately improving patient access to effective CNS treatments. Conclusions: Preclinical and in vitro studies have demonstrated the effectiveness of these modifications in increasing drug retention and bioavailability in brain tissues. Additionally, while ligand-conjugated NPs hold significant promise for neuropharmacology, their clinical translation is often hindered by regulatory and economic constraints. Lengthy approval processes can slow market entry, but cost–benefit analyses indicate that surface-modified NPs remain financially viable, particularly as scalable manufacturing techniques and some ligands are cost-efficient. Full article

The European Union Drugs Agency has emphasized the increasing difficulty in monitoring the drug market due to the emergence of new psychoactive substances, often marketed as legal highs. The proliferation of fake pharmacies, drugstores, and e-commerce platforms has made access to illicit substances alarmingly rapid and inexpensive. These substances are readily available without medical prescriptions, lacking proper risk assessments or monitoring of potential adverse effects, raising significant public health concerns. Today, the relentless pursuit of validation and success—often, at any cost—has led to an exponential rise in the use of cognitive and mood enhancers. Such substances are frequently consumed to manage demands related to work, diet, sexuality, sleep, achievement, and interpersonal relationships. Consequently, investigating these phenomena is critically important for institutions, as they represent a serious threat to individual development and health. Developing effective preventive and protective systems is essential. This review provides an overview of currently available smart drugs, discussing their desired and adverse neuropharmacological effects, psychological implications, and cognitive decline resulting from their excessive and unregulated use. This review concludes that a multidisciplinary approach combining molecular identification, micro-morphological analysis, and chemical characterization is crucial for the accurate detection, monitoring, and risk mitigation of new psychoactive substances. Full article

This study explores the neuropharmacological potential of various molecular and amino acid components derived from Syzygium aromaticum (clove), an aromatic spice with a long history of culinary and medicinal use. Key bioactive compounds such as eugenol, α-humulene, β-caryophyllene, gallic acid, quercetin, and luteolin demonstrate antioxidant, anti-inflammatory, and neuroprotective properties by scavenging free radicals, modulating calcium channels, and reducing neuroinflammation and oxidative stress. Moreover, gallic acid and asiatic acid may exhibit protective effects, including neuronal apoptosis inhibition, while other useful properties of clove phytocompounds include NF-κB pathway inhibition, membrane stabilization, and suppression of pro-inflammatory pathways, possibly in neurons or other relevant cell types, further contributing to neuroprotection and cognitive enhancement. Amino acid analysis revealed essential and non-essential amino acids such as aspartic acid, serine, glutamic acid, glycine, histidine, and arginine in various clove parts (buds, fruits, branches, and leaves). These amino acids play crucial roles in neurotransmitter synthesis, immune modulation, antioxidant defense, and metabolic regulation. Collectively, these bioactive molecules and amino acids contribute to clove’s antioxidant, anti-inflammatory, neurotrophic, and neurotransmitter-modulating effects, highlighting its potential as a preventive and therapeutic candidate for neurodegenerative disorders. While preliminary preclinical studies support these neuroprotective properties, further research, including clinical trials, is needed to validate the efficacy and safety of clove-based interventions in neuroprotection. Full article

Several authors have advanced the idea that psychedelics such as psilocybin might be effective means for achieving moral bioenhancement (MBE). Here, I discuss some reservations on this assertion from both neuropharmacological and bioethical perspectives, and surmised that there is little, if any, good justification for such a claim. The indication of psychedelics for MBE is undermined by their hallucinogenic properties and the risk of adverse psychosis. There is also a lack of sound bioethical basis for using psychedelics to enhance morality. Based on our current understanding, the use of psychedelics specifically for MBE in healthy individuals would violate the ethical principle of non-maleficence. Unless there is unequivocal demonstration that psychedelics could enhance morality, or that new non-hallucinogenic derivatives become available, an indication for psychedelics in MBE would be untenable. Full article

Flavonoids are naturally occurring polyphenolic compounds known for their extensive range of biological activities. This review focuses on the inhibitory effects of flavonoids on acetylcholinesterase (AChE) and their potential as therapeutic agents for cognitive dysfunction. AChE, a serine hydrolase that plays a crucial role in cholinergic neurotransmission, is a key target in the treatment of cognitive impairments due to its function in acetylcholine hydrolysis. Natural polyphenolic compounds, particularly flavonoids, have demonstrated significant inhibition of AChE, positioning them as promising alternatives or adjuncts in neuropharmacology. This study specifically examines flavonoids such as quercetin, apigenin, kaempferol, and naringenin, investigating their inhibitory efficacy, binding mechanisms, and additional neuroprotective properties, including their antioxidant and anti-inflammatory effects. In vitro, in vivo, and in silico analyses reveal that these flavonoids effectively interact with both the active and peripheral anionic sites of AChE, resulting in increased acetylcholine levels and the stabilization of cholinergic signaling. Their mechanisms of action extend beyond mere enzymatic inhibition, as they also exhibit antioxidant and anti-amyloidogenic properties, thereby offering a multifaceted approach to neuroprotection. Given these findings, flavonoids hold considerable therapeutic potential as modulators of AChE, with implications for enhancing cognitive function and treating neurodegenerative diseases. Future studies should prioritize the enhancement of flavonoid bioavailability, evaluate their efficacy in clinical settings, and explore their potential synergistic effects when combined with established therapies to fully harness their potential as neurotherapeutic agents. Full article

Behavioral neuropharmacology, a branch of neuroscience, uses behavioral analysis to demonstrate treatment effects on animal models, which is fundamental for pre-clinical evaluation. Typically, this determination is univariate, neglecting the relevant associations for understanding treatment effects in animals and humans. This study implements regression trees and Bayesian networks from a multivariate perspective by using variables obtained from behavioral tests to predict the time spent in the open arms of the elevated arm maze, a key variable to assess anxiety. Three doses of allopregnanolone were analyzed and compared to a vehicle group and a diazepam-positive control. Regression trees identified cut-off points between the anxiolytic and anxiogenic effects, with the anxiety index standing out as a robust predictor, combined with the percentage of open-arm entries and the number of entries. Bayesian networks facilitated the visualization and understanding of the interactions between multiple behavioral and biological variables, demonstrating that treatment with allopregnanolone (2 mg) emulates the effects of diazepam, validating the multivariate approach. The results highlight the relevance of integrating advanced methods, such as Bayesian networks, into preclinical research to enrich the interpretation of complex behavioral data in animal models, which can hardly be observed with univariate statistics. Full article