Search Results (45)

Background: There is growing interest in the potential role of manganese (Mn) in the development of Alzheimer’s Disease and related dementias (ADRD). Methods: In this nested pilot study of a ferroalloy worker cohort, we investigated the impact of chronic occupational Mn exposure on cognitive function through β-amyloid (Aβ) deposition and multi-omics profiling. We evaluated six male Mn-exposed workers (median age 63, exposure duration 31 years) and five historical controls (median age: 60 years), all of whom had undergone brain PET scans. Exposed individuals showed significantly higher Aβ deposition in exposed individuals (p < 0.05). The average annual cumulative respirable Mn was 329.23 ± 516.39 µg/m³ (geometric mean 118.59), and plasma Mn levels were significantly elevated in the exposed group (0.704 ± 0.2 ng/mL) compared to controls (0.397 ± 0.18 in controls). Results: LC-MS/MS-based pathway analyses revealed disruptions in olfactory signaling, mitochondrial fatty acid β-oxidation, biogenic amine synthesis, transmembrane transport, and choline metabolism. Simoa analysis showed notable alterations in ADRD-related plasma biomarkers. Protein microarray revealed significant differences (p < 0.05) in antibodies targeting neuronal and autoimmune proteins, including Aβ (25–35), GFAP, serotonin, NOVA1, and Siglec-1/CD169. Conclusion: These findings suggest Mn exposure is associated with neurodegenerative biomarker alterations and disrupted biological pathways relevant to cognitive decline. Full article

Chronic periodontitis, driven by the keystone pathogen Porphyromonas gingivalis, has been increasingly associated with Alzheimer’s disease (AD) and AD-related dementias (ADRDs). However, the mechanisms through which P. gingivalis-lipopolysaccharide (LPS)-induced release of neuroinflammatory proteins contribute to the pathogenesis of AD and ADRD remain inadequately understood. Caspase-4, a critical mediator of neuroinflammation, plays a pivotal role in these processes following exposure to P. gingivalis-LPS. In this study, we investigated the mechanistic role of caspase-4 in P. gingivalis-LPS-induced IL-1β production, neuroinflammation, oxidative stress, and mitochondrial alterations in human neuronal and microglial cell lines. Silencing of caspase-4 significantly attenuated IL-1β secretion by inhibiting the activation of the caspase-4-NLRP3-caspase-1-gasdermin D inflammasome pathway, confirming its role in neuroinflammation. Moreover, caspase-4 silencing reduced the activation of amyloid precursor protein and presenilin-1, as well as the secretion of amyloid-β peptides, suggesting a role for caspase-4 in amyloidogenesis. Caspase-4 inhibition also restored the expression of key neuroinflammatory markers, such as total tau, VEGF, TGF, and IL-6, highlighting its central role in regulating neuroinflammatory processes. Furthermore, caspase-4 modulated oxidative stress by regulating reactive oxygen species production and reducing oxidative stress markers like inducible nitric oxide synthase and 4-hydroxynonenal. Additionally, caspase-4 influenced mitochondrial membrane potential, mitochondrial biogenesis, fission, fusion, mitochondrial respiration, and ATP production, all of which were impaired by P. gingivalis-LPS but restored with caspase-4 inhibition. These findings provide novel insights into the role of caspase-4 in P. gingivalis-LPS-induced neuroinflammation, oxidative stress, and mitochondrial dysfunction, demonstrating caspase-4 as a potential therapeutic target for neurodegenerative conditions associated with AD and related dementias. Full article

Background: Cardiovascular disease (CVD) significantly impacts Alzheimer’s Disease and Related Dementia (AD/ADRD) mortality. South Carolina has a high incidence of CVD and dementia mortality. The aim of this study, therefore, was to examine the neurological causes of death and the leading causes of death in the South Carolina Alzheimer’s Disease Registry (SCADR). Method: Data from 2005–2018 were extracted from the SCADR using ICD-9 and ICD-10 codes. The top 10 leading causes of death (LCOD) were identified using death certificates. Some neurological causes of death were operationalized by combining related ICD codes, such as CVD_C (I219, I251, I500, I64) and chronic obstructive pulmonary disease (COP_C), (J449, C349), and ${\chi }^2$ was used to compare socio-demographic characteristics and mortality. Adjusted hazard ratios (aHR) and 95% confidence intervals (CI) were estimated using extended Cox Proportional Hazard modeling, adjusting for socio-demographic factors. Results: A total of 207,093 registry cases were included in the analysis. About 70% of cases had Alzheimer’s Disease (AD) diagnosis, and 40% of all cases were 85 years and older. The LCOD was CVD_C (13.4%). The risk of death among cases with vascular dementia (VaD) was 1.17 times the risk of death among those with AD (aHR: 1.172, 95% CI: 1.148–1.196). Among all deaths, cases with COP_C had a significantly higher likelihood of death compared to those with CVD_C (aHR: 1.06, 95% CI: 1.025–1.090). Conclusions: The study highlights CVD_C as the LCOD in frequency, with survival analysis indicating COP_C risk of death as significantly higher compared to CVD_C deaths. There is a need to prioritize CVD and lung-related comorbidity prevention, assessment, and management programs for individuals living with ADRD. Full article

Background: Emerging evidence suggests a potential link between heavy metals and Alzheimer’s disease and related dementias (AD/ADRD). This study compiled epidemiological evidence from research published over the past 11 years on the impact of metals on AD/ADRD in women. Women have unique risk factors for late onset of AD/ADRD, in addition to genetic factors, apolipoprotein E allele (APOE4), and longer life expectancy. Furthermore, women are twice likely as men to experience depression, which increases their risk of developing AD/ADRD. Our narrative review underscored the necessity of a sex-specific approach to address women’s vulnerability to AD/ADRD. Methods: Electronic databases, including PubMed, Google Scholar, NIOSH Toxline, and Scopus, were thoroughly searched to identify primary epidemiological studies on older women exposed to metals and published between 2014 to 2024. Results: We identified 34 epidemiological studies that met the inclusion criteria. The findings revealed a complex interplay between environmental metals such as lead (Pb), cadmium (Cd), arsenic (As), manganese (Mn), selenium (Se), iron (Fe), zinc (Zn), copper (Cu), magnesium (Mg), and calcium (Ca) and the risk of AD/ADRD in women. Significant adverse effects were reported for Cu, Cd, As, Pb, and Mn while significant protective effects were found between Se, Fe, and Zn in blood and AD/ADRD among older women. However, some studies also reported no correlations. Conclusions: Overall, our review identified contrasting results regarding the effects of metals on AD/ADRD in women. Future studies should collect additional evidence to understanding the effects of heavy metals on AD/ADRD in women for developing preventive measures. Full article

This review synthesizes the emerging understanding of the roles of glial cells and non-coding RNAs (ncRNAs) in the pathogenesis and progression of Alzheimer’s disease and related dementias (ADRDs). ADRDs encompass a spectrum of neurodegenerative disorders characterized by cognitive decline, memory impairment, and functional deterioration. The interplay between the most common types of glial cells—astrocytes, microglia, and oligodendrocytes—and ncRNAs is emerging as a critical factor in the development of ADRDs. Glial cells are essential for maintaining homeostasis within the central nervous system (CNS); however, their dysregulation can lead to neuroinflammation and neuronal dysfunction, exacerbating neurodegeneration. Reactive astrocytes and activated microglia can create neurotoxic environments that further impair neuronal health. Concurrently, ncRNAs, particularly long non-coding RNAs (lncRNAs) and microRNAs (miRNAs), have emerged as significant regulators of glial gene expression, influencing inflammatory responses and glial cell function. Understanding the complex interactions between glial cells and ncRNAs is crucial for developing targeted therapeutic strategies. By elucidating the mechanisms underlying their interactions, this review aims to highlight the critical importance of glial cells and ncRNAs in the context of neurodegenerative diseases, paving the way for innovative approaches to prevent and treat ADRDs. Ultimately, enhancing our understanding of these processes may lead to novel therapies and improved outcomes for individuals affected by these debilitating conditions. Full article

Background/Objectives: As the world’s population ages, the growing number of individuals affected by Alzheimer’s disease and related dementias (ADRDs) will undoubtedly continue to impose social and economic challenges. Informal caregivers play a crucial role in providing essential support for individuals with ADRD. However, there is limited research that investigates the psychosocial functioning of caregivers (partners) from minoritized groups. Methods: This study aimed to explore the experiences of lesbian, gay, bisexual, transgender and queer (LGBTQ+) caregivers of individuals with ADRDs. Semi-structured in-depth interviews were conducted with seven caregivers of partners diagnosed with ADRDs. Three themes were identified based on reflexive thematic analysis: (i) experiencing familial alienation; (ii) fear about the future; and (iii) finding strength in the face of adversity. Results: The research highlighted difficulties reported by LGBTQ+ caregivers, while also showing how such caregivers cope. The findings provide a basis for developing targeted interventions for caregivers from minoritized groups. Conclusions: These findings have important implications for policy and intervention development concerning LGBTQ+ caregivers’ mental and physical health outcomes. Full article

Older adults may experience worse wildfire fine particulate matter (PM_2.5) smoke-related health effects due to conditions such as Alzheimer’s disease and related dementias (ADRDs). We evaluated whether wildfire PM_2.5 was associated with acute hospitalizations among older adults with ADRD, linking modeled daily wildfire PM_2.5 concentrations and circulatory, respiratory, anxiety, and depression hospitalizations from 2006 to 2016. We employed a case-crossover design and conditional logistic regression to estimate associations between lagged daily wildfire PM_2.5 and hospitalizations. Also, we stratified cause-specific models by age, sex, emergency hospitalization status, and zip code-level urbanicity and poverty. The 1,546,753 hospitalizations among Medicare enrollees with ADRD were most coded for circulatory (71.7%), followed by respiratory (43.6%), depression (2.9%), and anxiety (0.7%) endpoints. We observed null associations between wildfire PM_2.5 and circulatory, respiratory, and anxiety hospitalizations over the six days following exposure. Same-day wildfire PM_2.5 was associated with decreased depression hospitalizations (rate ratio = 0.94, 95% CI: 0.90, 0.99). We saw some effect measure modifications by emergency hospitalization status and urbanicity. There were some stratum-specific effects for age, but the results remained mostly null. Future studies should use improved methods to identify ADRD and examine recent years with higher wildfire concentrations. Full article

Cognitive disorders and psychiatric pathologies, particularly Alzheimer’s disease (AD) and Major depressive disorder (MDD), represent a considerable health burden, impacting millions of people in the United States and worldwide. Notably, comorbidities of MDD and anxiety are prevalent in the early stages of mild cognitive impairment (MCI), which is the preceding phase of Alzheimer’s disease and related dementia (ADRD). The symptoms of MDD and anxiety affect up to 80% of individuals in the advanced stages of the neurodegenerative conditions. Despite overlapping clinical manifestations, the pathogenesis of AD/ADRD and MDD remains inadequately elucidated. Until now, dozens of drugs for treating AD/ADRD have failed in clinical trials because they have not proven beneficial in reversing or preventing the progression of these neuropsychiatric indications. This underscores the need to identify new drug targets that could reverse neuropsychiatric symptoms and delay the progress of AD/ADRD. In this context, phosphodiesterase 4 (PDE4) arises as a primary enzyme in the modulation of cognition and mood disorders, particularly through its enzymatic action on cyclic adenosine monophosphate (cAMP) and its downstream anti-inflammatory pathways. Despite the considerable cognitive and antidepressant potential of PDE4 inhibitors, their translation into clinical practice is hampered by profound side effects. Recent studies have focused on the effects of PDE4 and its subtype-selective isoform inhibitors, aiming to delineate their precise mechanistic contributions to neuropsychiatric symptoms with greater specificity. This review aims to analyze the current advances regarding PDE4 inhibition—specifically the selective targeting of its isoforms and elucidate the therapeutic implications of enhanced cAMP signaling and the consequent anti-inflammatory responses in ameliorating the symptomatology associated with AD and ADRD. Full article

Background/Objectives: Alzheimer’s disease (AD) and related dementias (ADRD) disproportionately impact racial and ethnic minorities. Contributing biological factors that explain this disparity have been elusive. Moreover, non-invasive biomarkers for early detection of AD are needed. Endothelin-1 (ET-1), a vasoconstrictive factor linked to cerebral vascular disease pathology and neuronal injury, could provide insights to better understand racial disparities in AD. As a potent vasoconstrictive peptide that regulates contractions in smooth muscle, endothelial cells, and pericytes, ET-1 may result in cerebral vascular constriction, leading to cerebral hypoperfusion; over time, this may result in neuronal injury, contributing to the pathology of AD. The role of the ET-1 system as a driver of ethnic disparities in AD requires further investigation. In the United States (U.S.), ET-1 dysregulation in Hispanic/Latinx (H/L) ethnic populations has largely been unexplored. Genetics linking ET-1 dysregulation and racial disparities in AD also require further investigation. In this study, we examined the role of the ET-1 protein in human plasma as a potential biomarker with predictive value for correlating with the development of AD by age, race, and sex. Methods: We examined ET-1 protein levels using quantitative mass spectrometry in AA and NHW patients with AD, along with controls. Results: A partial correlation between age at draw and ET-1, stratified by race and sex, while controlling for AD status, was significant for female AAs (r = 0.385, p = 0.016). When the data were not stratified but controlled for AD status, the partial correlation between age at draw and ET-1 was not significant (r = 0.108, p = 0.259). Conclusions: Based on the small number of plasma specimens and no plasma specimens from H/L individuals with AD, we conclude that ET-1 was clearly not a significant factor in predicting AD in this study and will require a larger scale study for validation. Full article

Alzheimer’s disease (AD) and Alzheimer’s Related Dementias (ADRD) are projected to affect 50 million people globally in the coming decades. Clinical research suggests that Mild Cognitive Impairment (MCI), a precursor to dementia, offers a critical window of opportunity for lifestyle interventions to delay or prevent the progression of AD/ADRD. Previous research indicates that lifestyle changes, including increased physical exercise, reduced caloric intake, and mentally stimulating activities, can reduce the risk of MCI. Early detection of MCI is challenging due to subtle and often unnoticed cognitive decline and is traditionally monitored through infrequent clinical tests. In this research, the Smart Driving System, a novel, unobtrusive, and economical technology to detect early stages of neurodegenerative diseases, is presented. The system comprises a multi-modal biosensing array (MMS) and AI algorithms, including driving performance and driver’s biometrics, offering insights into a driver’s cognitive function. This publication is the first work reported towards the ultimate goal of developing the Smart Driving Device and App, integrating it into vehicles, and validating its effectiveness in detecting MCI through comprehensive pilot studies. Full article

Background: The exposome (e.g., totality of environmental exposures) and its role in Alzheimer’s Disease and Alzheimer’s Disease and Related Dementias (AD/ADRD) are increasingly critical areas of study. However, little is known about how interventions on the exposome, including personal behavioral modification or policy-level interventions, may impact AD/ADRD disease burden at the population level in real-world settings and the cost-effectiveness of interventions. Methods: We performed a critical review to discuss the challenges in modeling exposome interventions on population-level AD/ADRD burden and the potential of using agent-based modeling (ABM) and other advanced data science methods for causal inference to achieve this. Results: We describe how ABM can be used for empirical causal inference modeling and provide a virtual laboratory for simulating the impacts of personal and policy-level interventions. These hypothetical experiments can provide insight into the optimal timing, targeting, and duration of interventions, identifying optimal combinations of interventions, and can be augmented with economic analyses to evaluate the cost-effectiveness of interventions. We also discuss other data science methods, including structural equation modeling and Mendelian randomization. Lastly, we discuss challenges in modeling the complex exposome, including high dimensional and sparse data, the need to account for dynamic changes over time and over the life course, and the role of exposome burden scores developed using item response theory models and artificial intelligence to address these challenges. Conclusions: This critical review highlights opportunities and challenges in modeling exposome interventions on population-level AD/ADRD disease burden while considering the cost-effectiveness of different interventions, which can be used to aid data-driven policy decisions. Full article

Patients with Alzheimer’s disease and related dementia (ADRD) are faced with a formidable challenge of focal amyloid deposits and cerebral amyloid angiopathy (CAA). The treatment of amyloid deposits in ADRD by targeting only oxidative stress, inflammation and hyperlipidemia has not yielded significant positive clinical outcomes. The chronic high-fat diet (HFD), or gut dysbiosis, is one of the major contributors of ADRD in part by disrupted transport, epigenetic DNMT1 and the folate 1-carbon metabolism (FOCM) cycle, i.e., rhythmic methylation/de-methylation on DNA, an active part of epigenetic memory during genes turning off and on by the gene writer (DNMT1) and eraser (TET2/FTO) and the transsulfuration pathway by mitochondrial 3-mercaptopyruvate sulfur transferase (3MST)-producing H₂S. The repeat CAG expansion and m⁶A disorder causes senescence and AD. We aim to target the paradigm-shift pathway of the gut–brain microbiome axis that selectively inhibits amyloid deposits and increases mitochondrial transsulfuration and H₂S. We have observed an increase in DNMT1 and decreased FTO levels in the cortex of the brain of AD mice. Interestingly, we also observed that probiotic lactobacillus-producing post-biotic folate and lactone/ketone effectively prevented FOCM-associated gut dysbiosis and amyloid deposits. The s-adenosine-methionine (SAM) transporter (SLC25A) was increased by hyperhomocysteinemia (HHcy). Thus, we hypothesize that chronic gut dysbiosis induces SLC25A, the gene writer, and HHcy, and decreases the gene eraser, leading to a decrease in SLC7A and mitochondrial transsulfuration H₂S production and bioenergetics. Lactobacillus engulfs lipids/cholesterol and a tri-directional post-biotic, folic acid (an antioxidant and inhibitor of beta amyloid deposits; reduces Hcy levels), and the lactate ketone body (fuel for mitochondria) producer increases SLC7A and H₂S (an antioxidant, potent vasodilator and neurotransmitter gas) production and inhibits amyloid deposits. Therefore, it is important to discuss whether lactobacillus downregulates SLC25A and DNMT1 and upregulates TET2/FTO, inhibiting β-amyloid deposits by lowering homocysteine. It is also important to discuss whether lactobacillus upregulates SLC7A and inhibits β-amyloid deposits by increasing the mitochondrial transsulfuration of H₂S production. Full article

Ferroptosis is an iron-dependent form of programmed cell death that is influenced by biological processes such as iron metabolism and senescence. As brain iron levels increase with aging, ferroptosis is also implicated in the development of age-related pathologic conditions such as Alzheimer’s disease (AD) and related dementias (ADRD). Indeed, inhibitors of ferroptosis have been shown to be protective in models of degenerative brain disorders like AD/ADRD. Given the inaccessibility of the living human brain for metabolic studies, the goal of this work was to characterize an in vitro model for understanding how aging and iron availability influence neuronal iron metabolism and ferroptosis. First, the human (SH-SY5Y) and mouse (Neuro-2a) neuroblastoma lines were terminally differentiated into mature neurons by culturing in all-trans-retinoic acid for at least 72 h. Despite demonstrating all signs of neuronal differentiation and maturation, including increased expression of the iron storage protein ferritin, we discovered that differentiation conferred ferroptosis resistance in both cell lines. Gene expression data indicates differentiated neurons increase their capacity to protect against iron-mediated oxidative damage by augmenting cystine import, and subsequently increasing intracellular cysteine levels, to promote glutathione production and glutathione peroxidase activity (GPX). In support of this hypothesis, we found that culturing differentiated neurons in cysteine-depleted media sensitized them to GPX4 inhibition, and that these effects are mitigated by cystine supplementation. Such findings are important as they provide guidance for the use of in vitro experimental models to investigate the role of ferroptosis in neurodegeneration in pathologies such as ADRD. Full article

Radar sensors, leveraging the Doppler effect, enable the nonintrusive capture of kinetic and physiological motions while preserving privacy. Deep learning (DL) facilitates radar sensing for healthcare applications such as gait recognition and vital-sign measurement. However, band-dependent patterns, indicating variations in patterns and power scales associated with frequencies in time–frequency representation (TFR), challenge radar sensing applications using DL. Frequency-dependent characteristics and features with lower power scales may be overlooked during representation learning. This paper proposes an Enhanced Band-Dependent Learning framework (E-BDL) comprising an adaptive sub-band filtering module, a representation learning module, and a sub-view contrastive module to fully detect band-dependent features in sub-frequency bands and leverage them for classification. Experimental validation is conducted on two radar datasets, including gait abnormality recognition for Alzheimer’s disease (AD) and AD-related dementia (ADRD) risk evaluation and vital-sign monitoring for hemodynamics scenario classification. For hemodynamics scenario classification, E-BDL-ResNet achieves competitive performance in overall accuracy and class-wise evaluations compared to recent methods. For ADRD risk evaluation, the results demonstrate E-BDL-ResNet’s superior performance across all candidate models, highlighting its potential as a clinical tool. E-BDL effectively detects salient sub-bands in TFRs, enhancing representation learning and improving the performance and interpretability of DL-based models. Full article