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Development of a Novel Mitochondrial Dysfunction-Related Alzheimer's Disease Diagnostic Model Using Bioinformatics and Machine Learning
Authors: Kuo Zhang, Kai Yang, Gongchang Yu and Bin ShiAvailable online: 26 December 2024More LessIntroductionAlzheimer's disease (AD) represents the most common neurodegenerative disorder, characterized by progressive cognitive decline and memory loss. Despite the recognition of mitochondrial dysfunction as a critical factor in the pathogenesis of AD, the specific molecular mechanisms remain largely undefined.
MethodThis study aimed to identify novel biomarkers and therapeutic strategies associated with mitochondrial dysfunction in AD by employing bioinformatics combined with machine learning methodologies. We performed Weighted Gene Co-expression Network Analysis (WGCNA) utilizing gene expression data from the NCBI Gene Expression Omnibus (GEO) database and isolated mitochondria-related genes through the MitoCarta3.0 database. By intersecting WGCNA-derived module genes with identified mitochondrial genes, we compiled a list of 60 mitochondrial dysfunction-related genes (MRGs) significantly enriched in pathways pertinent to mitochondrial function, such as the citrate cycle and oxidative phosphorylation.
ResultsEmploying machine learning techniques, including random forest and LASSO, along with the CytoHubba algorithm, we identified key genes with strong diagnostic potential, such as ACO2, CS, MRPS27, SDHA, SLC25A20, and SYNJ2BP, verified through ROC analysis. Furthermore, an interaction network involving miRNA-MRGs-transcription factors and a protein-drug interaction network revealed potential therapeutic compounds such as Congo red and kynurenic acid that target MRGs.
ConclusionThese findings delineate the intricate role of mitochondrial dysfunction in AD and highlight promising avenues for further exploration of biomarkers and therapeutic interventions in this devastating disease.
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Radio-Anatomical Assessment of Cerebellum Volume in Individuals with Alzheimer's Disease
Authors: Musa Acar, Büşra Şeker and Sultan UğurAvailable online: 26 December 2024More LessIntroductionAlzheimer's disease is a chronic brain disease that includes memory and language disorders. This disease, which is considered the most common cause of dementia worldwide, accounts for 60-80% of all dementia cases. Recent studies suggest that the cerebellum may play a role in cognitive functions as well as motor functions.
Materials and MethodsThe study was conducted on 40 Alzheimer's patients and 40 healthy individuals. In our study, volumetric evaluation of the cerebellum was performed.
ResultsAs expected, significant differences were found in cerebellar volume reduction in AD patients compared to healthy controls. Significant volume increase was observed in some regions of the cerebellum in Alzheimer's patients compared to healthy individuals.
ConclusionThe findings supported the role of the cerebellum in cognitive functions. Volume reductions may assist clinicians in making an early diagnosis of AD.
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Advances in Alzheimer's Disease Biomarkers
Authors: Kuan Li, Yujie Gao, Muxi Liu and Yizhao ChenAvailable online: 26 December 2024More LessAlzheimer's disease (AD) is a neurodegenerative condition characterized by gradual onset and complex pathological mechanisms. Clinically, it presents with progressive cognitive decline and behavioral impairments, making it one of the most common causes of dementia. The intricacies of its pathogenesis are not fully understood, and current treatment options are limited, with diagnosis typically occurring at intermediate to advanced stages. The development of new biomarkers offers a crucial avenue for the early diagnosis of AD and improving patient outcomes. Several biomarkers with high specificity have been identified. This article reviews biomarkers related to tau protein, β-amyloid, and blood cells to deepen our understanding of AD and emphasize the advantages and disadvantages of various biomarkers in order to explore further and mine new biomarkers for AD diagnosis.
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Acetyl-L-Carnitine Aids in Preservation of Cholinergic Neurons and Memory in the Drosophila melanogaster Model of Alzheimer's Disease
Available online: 23 December 2024More LessBackgroundThe lack of effective therapy for the treatment of Alzheimer's disease demands both the search for new drugs and the reconsideration of already known substances currently used in other areas of medicine. Drosophila melanogaster offers the potential to model features of Alzheimer's disease, study disease mechanisms, and conduct drug screening.
ObjectivesThe purpose of this work was to analyze the neuroprotective properties of the drug “carnicetine”, which is an acetylated form of the natural low molecular weight compound L-carnitine. The drug is able to cross the blood-brain barrier and is currently used as a means of improving cellular metabolism.
MethodsUsing tissue-specific drivers, direct expression of amyloid beta peptide (42 amino acids) was exhibited in certain groups of neurons in the Drosophila melanogaster brain, namely in dopaminergic and cholinergic neurons. The effect of acetyl-L-carnitine (carnicetine) on the death of these neurons and the memory of flies was analyzed.
ResultsThe expression of amyloid beta peptide in dopaminergic or cholinergic neurons resulted in neurodegeneration of cholinergic neurons in the Drosophila brain and memory impairment. The use of carnicetine added to animal food made it possible to treat these disorders. At the same time, no effect on dopaminergic neurons was noted.
ConclusionThe data obtained confirmed the neuroprotective properties of the drug under study, demonstrating its participation in the restoration of the cholinergic system and the feasibility of using carnicetine for the treatment of Alzheimer's disease.
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The Relationship between Alzheimer's Disease and Ferroptosis: A Bibliometric Study Based on Citespace
Authors: Fengxia Lin, Xiaolu Yang, Linqin Li, Jie Chen, Xuxiang Zheng, Lihua Qiu, Shaorui Shi and Bin NieAvailable online: 23 December 2024More LessBackgroundThe potential relationship between Alzheimer's Disease (AD) and ferroptosis has received considerable attention, yet there is no comprehensive visualization analysis in this field. This study aimed to explore the research frontiers and hotspots through bibliometric analysis.
MethodsLiterature related to AD and ferroptosis was collected from the Web of Science Core Collection. Data, including countries, authors, institutions, journals, and keywords, were analyzed by Tableau Public Desktop and Citespace software.
ResultsA total of 305 articles published between January 1st, 2013, and December 31st, 2023, were included, and the number of articles on the relationship between AD and ferroptosis has increased annually, with the largest number reported from China (162 articles). The articles from Professor SJ Dixon were cited most frequently. Among the top ten most cited articles, four were published in top journals. The University of Melbourne emerged as the institution with the highest number of publications (27 articles). Among the journals, most of the articles were published in Frontiers in Aging Neuroscience (13 articles, accounting for 4.26%). The co-occurrence analysis of keywords revealed that major hotspots in this field contained oxidative stress, cell death, and lipid peroxidation. Keyword burst analysis indicated that antioxidant was the term with the longest duration of high interest, while clustering analysis showed that this research area primarily focused on amyloid precursor protein, drug development, and diagnostic models.
ConclusionBibliometric analyses were conducted to comprehensively present the research progress and trends on the relationship between AD and ferroptosis, providing valuable evidence for future research in related fields.
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Exploring the Therapeutic Potential of 8-Prenyldaidzein: A Comprehensive Study of its Multi-Target Efficacy in Alzheimer's Disease
Available online: 23 December 2024More LessBackgroundAlzheimer's disease (AD) is marked by cognitive decline, amyloid plaques, neurofibrillary tangles, and cholinergic loss. Due to the limited success of amyloid-targeted therapies, attention has shifted to new non-amyloid targets like phosphodiesterases (PDE). This study investigates the potential of Flemingia vestita (FV) phytomolecules and derivatives, particularly 8-Prenyldaidzein, in AD treatment.
Materials and MethodsPhytocompounds and derivatives were screened for drug-likeness, toxicity, BBB permeability, and ADME profiles. Molecular docking was conducted with PDE5A, BACE-1, and AChE, followed by molecular dynamics (MD) simulations on the best binding complexes.
Results8-Prenyldaidzein, a derivative of daidzein, demonstrated favorable drug-likeness and ADME properties. It exhibited strong binding to PDE5A, BACE-1, and AChE, with MD simulations confirming stable protein-ligand interactions.
DiscussionThe multi-target potential of 8-Prenyldaidzein, particularly through non-amyloid pathways, offers a promising approach to AD therapy. Its inhibition of PDE5A, BACE-1, and AChE could address multiple aspects of AD pathology.
Conclusion8-Prenyldaidzein shows strong potential as a multi-target inhibitor for AD treatment. While in-silico findings are promising, further experimental validation is needed to confirm its clinical applicability.
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Recent Updates on Alzheimer’s Disease: Pathogenesis, Pathophysiology, Molecular Approaches and Natural Bioactive Compounds Used in Contemporary Time to Alleviate Disease
Available online: 23 December 2024More LessAlzheimer's disease (AD), characterised by gradual memory loss and neurodegeneration, is an important risk to global health. Despite the recent advances in the field of neuroscience, the complex biological mechanisms underlying the aetiology and pathology of AD have not been elucidated yet. The development of amyloid-beta plaques, hyperphosphorylation of tau protein, oxidative stress, and neuroinflammation have been identified as important components. The genesis of AD has been illuminated by advances in molecular techniques, which have shown the contributions of environmental, genetic, and epigenetic variables.
Ongoing research is focused on the potential of bioactive compounds as therapeutic agents. Quercetin, epigallocatechin gallate, huperzine A, ginsenosides, omega-3 fatty acids, vitamin E, zinc, bacosides from brahmi, and withanolide A from ashwagandha are among the compounds that have demonstrated encouraging effects in modifying disease pathways. These bioactive substances demonstrate their potential for symptomatic relief by providing neuroprotective, antioxidant, anti-inflammatory, and cognitive-enhancing properties. The present review presents the recent findings on AD pathogenesis, molecular mechanisms, and the impact of natural compounds, offering a comprehensive perspective on current and emerging strategies for managing this debilitating condition.
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Quantitative Proteomic Analysis of APP/PS1 Transgenic Mice
Authors: Jiayuan Wang, Xinyu Wang, Zihui An, Xuan Wang, Yaru Wang, Yuehan Lu, Mengsheng Qiu, Zheqi Liu and Zhou TanAvailable online: 02 December 2024More LessBackgroundAlzheimer's disease (AD) is a prevalent neurodegenerative disorder affecting the central nervous system (CNS), with its etiology still shrouded in uncertainty. The interplay of extracellular amyloid-β (Aβ) deposition, intracellular neurofibrillary tangles (NFTs) composed of tau protein, cholinergic neuronal impairment, and other pathogenic factors is implicated in the progression of AD.
ObjectiveThe current study endeavors to delineate the proteomic landscape alterations in the hippocampus of an AD murine model, utilizing proteomic analysis to identify key physiological and pathological shifts induced by the disease. This endeavor aims to shed light on the underlying pathogenic mechanisms, which could facilitate early diagnosis and pave the way for novel therapeutic interventions for AD.
MethodsTo dissect the proteomic perturbations induced by Aβ and Presenilin-1 (PS1) in the AD pathogenesis, we undertook a label-free quantitative (LFQ) proteomic analysis focusing on the hippocampal proteome of the APP/PS1 transgenic mouse model. Employing a multi-faceted approach that included differential protein functional enrichment, cluster analysis, and protein-protein interaction (PPI) network analysis, we conducted a comprehensive comparative proteomic study between APP/PS1 transgenic mice and their wild-type C57BL/6 counterparts.
ResultsMass spectrometry identified a total of 4817 proteins in the samples, with 2762 proteins being quantifiable. Comparative analysis revealed 396 proteins with differential expression between the APP/PS1 and control groups. Notably, 35 proteins exhibited consistent temporal regulation trends in the hippocampus, with concomitant alterations in biological pathways and PPI networks.
ConclusionsThis study presents a comparative proteomic profile of transgenic (APP/PS1) and wild-type mice, highlighting the proteomic divergences. Furthermore, it charts the trajectory of proteomic changes in the AD mouse model across the developmental stages from 2 to 12 months, providing insights into the physiological and pathological implications of the disease-associated genetic mutations.
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Cognitive Reserve in Aging
Authors: A. M. Tucker and Y. Stern
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