Etiology Of Alzheimer's Disease Research Articles

Viral Infections, Are They a Trigger and Risk Factor of Alzheimer's Disease?

Alzheimer's Disease (AD), a progressive and debilitating condition, is reported to be the most common type of dementia, with at least 55 million people believed to be currently affected. Many causation hypotheses of AD exist, yet the intriguing link between viral infection and its possible contribution to the known etiology of AD has become an attractive focal point of research for the field and a challenging study task. In this review, we will explore the historical perspective and milestones that led the field to investigate the viral connection to AD. Specifically, several viruses such as Herpes Simplex Virus 1 (HSV-1), Zika virus (ZIKV), and severe cute respiratory syndrome coronavirus 2 (SARS-CoV-2), along with several others mentioned, include the various viruses presently considered within the field. We delve into the strong evidence implicating these viruses in the development of AD such as the lytic replication and axonal transport of HSV-1, the various mechanisms of ZIKV neurotropism through the human protein Musashi-1 (MSI1), and the spread of SARS-CoV-2 through the transfer of the virus through the BBB endothelial cells to glial cells and then to neurons via transsynaptic transfer. We will also explore beyond these mere associations by carefully analyzing the potential mechanisms by which these viruses may contribute to AD pathology. This includes but is not limited to direct neuronal infections, the dysregulation of immune responses, and the impact on protein processing (Aβ42 and hyperphosphorylated tau). Controversies and challenges of the virus-AD relationship emerge as we tease out these potential mechanisms. Looking forward, we emphasize future directions, such as distinct questions and proposed experimentations to explore, that the field should take to tackle the remaining unanswered questions and the glaring research gaps that persist. Overall, this review aims to provide a comprehensive survey of the past, present, and future of the potential link between viral infections and their association with AD development while encouraging further discussion.

Machine learning and XAI approaches highlight the strong connection between O3\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$O_3$$\\end{document} and NO2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$NO_2$$\\end{document} pollutants and Alzheimer’s disease

Alzheimer’s disease (AD) is the most common type of dementia with millions of affected patients worldwide. Currently, there is still no cure and AD is often diagnosed long time after onset because there is no clear diagnosis. Thus, it is essential to study the physiology and pathogenesis of AD, investigating the risk factors that could be strongly connected to the disease onset. Despite AD, like other complex diseases, is the result of the combination of several factors, there is emerging agreement that environmental pollution should play a pivotal role in the causes of disease. In this work, we implemented an Artificial Intelligence model to predict AD mortality, expressed as Standardized Mortality Ratio, at Italian provincial level over 5 years. We employed a set of publicly available variables concerning pollution, health, society and economy to feed a Random Forest algorithm. Using methods based on eXplainable Artificial Intelligence (XAI) we found that air pollution (mainly O3\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$O_3$$\\end{document} and NO2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$NO_2$$\\end{document}) contribute the most to AD mortality prediction. These results could help to shed light on the etiology of Alzheimer’s disease and to confirm the urgent need to further investigate the relationship between the environment and the disease.

A Look at the Etiology of Alzheimer's Disease based on the Brain Ischemia Model.

Alzheimer's disease (AD) is the frequent form of dementia in the world. Despite over 100 years of research into the causes of AD, including amyloid and tau protein, the research has stalled and has not led to any conclusions. Moreover, numerous projects aimed at finding a cure for AD have also failed to achieve a breakthrough. Thus, the failure of anti-amyloid and anti-tau protein therapy to treat AD significantly influenced the way we began to think about the etiology of the disease. This situation prompted a group of researchers to focus on ischemic brain episodes, which, like AD, mostly present alterations in the hippocampus. In this context, it has been proposed that cerebral ischemic incidents may play a major role in promoting amyloid and tau protein in neurodegeneration in AD. In this review, we summarized the experimental and clinical research conducted over several years on the role of ischemic brain episodes in the development of AD. Studies have shown changes typical of AD in the course of brain neurodegeneration post-ischemia, i.e., progressive brain and hippocampal atrophy, increased amyloid production, and modification of tau protein. In the post-ischemic brain, the diffuse and senile amyloid plaques and the development of neurofibrillary tangles characteristic of AD were revealed. The above data evidently showed that after brain ischemia, there are modifications in protein folding, leading to massive neuronal death and damage to the neuronal network, which triggers dementia with the AD phenotype.

PEGylated Chitosan Biodegradable Nanoparticles Delivery of Salvia officinalis and Melissa officinalis for Enhanced Brain Targeting

Background: Alzheimer's disease (AD) is a progressive neurodegenerative condition characterized by the gradual decline of cognitive abilities, primarily caused by impairments in the cholinergic system. AD is diagnosed based on the presence of specific pathological features, in-cluding senile plaques, neurofibrillary tangles, and the loss of neurons and synapses. Despite on-going efforts, the etiology of AD remains unclear, and there is a significant lack of effective treatments to meet the medical needs of affected individuals. The complex nature of AD, involv-ing multiple factors, presents challenges in the development of potential therapies. Numerous ob-stacles hinder the achievement of optimal pharmacological concentration of promising molecules for AD treatment. These obstacles include the presence of the blood-brain barrier (BBB), which restricts the entry of therapeutic agents into the brain, as well as issues related to poor bioavaila-bility and unfavorable pharmacokinetic profiles. Unfortunately, many therapeutically promising compounds have failed to overcome these hurdles and demonstrate efficacy in treating AD. Methods: The PEGylated chitosan nanoconjugate was developed and evaluated for delivery of anti-Alzheimer natural extract of Salvia officinalis and Melissa officinalis to the brain. The nano-conjugates (S-PCN and M-PCN) were developed by ionic gelation technique. Result: The nanoconjugates (S-PCN and M-PCN) were evaluated for various optical and in-vitro parameters. MTT assay on UCSD229i-SAD1-1 human astrocytoma cells indicated IC50 values of 0.42, 0.49, 0.67, and 0.75 μM for S-PCN, M-PCN formulations, and free Salvia officinalis and Melissa officinalis extracts, respectively. The In vitro assessments using cell lines have confirmed the improved uptake and distribution of nanoconjugates compared to free extracts. These findings were validated through confocal microscopy and apoptosis assays, revealing a substantial in-crease in the accumulation of nanoconjugates within the brain. The targeting potential OF M- PCN over S-PCN was found to be 2-fold significant. Conclusion: Based on the findings, it can be inferred that biodegradable PEGylated chitosan nanoconjugates hold promise as effective nano-targeting agents for delivering anti-Alzheimer drugs to the brain. The incorporation of PEGylated chitosan nanoparticles in this approach demonstrates enhanced delivery capabilities, ultimately leading to improved therapeutic out-comes.

Insights into amyloid precursor protein target through PPI network analysis.

Alzheimer's disease (AD) is the leading cause of dementia worldwide with therapeutic lacunae till date. The beta-amyloid (Aβ) accumulation triggers AD pathogenesis, though clinical trials lowering Aβ have not altered disease outcomes suggesting other interacting factors to be identified for drug design of AD. Therefore, it is of interest to identify potential hub proteins interlinked with disease-driving pathways using a network-based approach for AD therapeutic designing. Literature mining was done to identify proteins implicated in AD etiology. Protein-protein interactions (PPIs) were retrieved from the STRING database and merged into a single network using Cytoscape 3.10.1. The hub proteins involved in AD etiology were predicted based on the topological algorithms of CytoHubba. Six major proteins, with STRING database identifiers - APP, BACE1, PSEN1, MAPT, APOE4 and TREM2, were identified to be involved in AD pathogenesis. The merged network of PPIs of these proteins contained 51 nodes and 211 edges, as predicted by Analyzer module of Cytoscape. The Amyloid precursor protein (APP) emerged as the highest-scoring hub protein across multiple centrality measures and topological algorithms. Thus, current data provides evidence to support the ongoing investigation of APP's multifaceted functions and therapeutic potential for AD.

Profiles of subgingival microbiomes and gingival crevicular metabolic signatures in patients with amnestic mild cognitive impairment and Alzheimer’s disease

BackgroundThe relationship between periodontitis and Alzheimer’s disease (AD) has attracted more attention recently, whereas profiles of subgingival microbiomes and gingival crevicular fluid (GCF) metabolic signatures in AD patients have rarely been characterized; thus, little evidence exists to support the oral-brain axis hypothesis. Therefore, our study aimed to characterize both the microbial community of subgingival plaque and the metabolomic profiles of GCF in patients with AD and amnestic mild cognitive impairment (aMCI) for the first time.MethodsThis was a cross-sectional study. Clinical examinations were performed on all participants. The microbial community of subgingival plaque and the metabolomic profiles of GCF were characterized using the 16S ribosomal RNA (rRNA) gene high-throughput sequencing and liquid chromatography linked to tandem mass spectrometry (LC–MS/MS) analysis, respectively.ResultsThirty-two patients with AD, 32 patients with aMCI, and 32 cognitively normal people were enrolled. The severity of periodontitis was significantly increased in AD patients compared with aMCI patients and cognitively normal people. The 16S rRNA gene sequencing results showed that the relative abundances of 16 species in subgingival plaque were significantly correlated with cognitive function, and LC–MS/MS analysis identified a total of 165 differentially abundant metabolites in GCF. Moreover, multiomics Data Integration Analysis for Biomarker discovery using Latent cOmponents (DIABLO) analysis revealed that 19 differentially abundant metabolites were significantly correlated with Veillonella parvula, Dialister pneumosintes, Leptotrichia buccalis, Pseudoleptotrichia goodfellowii, and Actinomyces massiliensis, in which galactinol, sn-glycerol 3-phosphoethanolamine, D-mannitol, 1 h-indole-1-pentanoic acid, 3-(1-naphthalenylcarbonyl)- and L-iditol yielded satisfactory accuracy for the predictive diagnosis of AD progression.ConclusionsThis is the first combined subgingival microbiome and GCF metabolome study in patients with AD and aMCI, which revealed that periodontal microbial dysbiosis and metabolic disorders may be involved in the etiology and progression of AD, and the differential abundance of the microbiota and metabolites may be useful as potential markers for AD in the future.

Genome-wide epistasis analysis reveals gene–gene interaction network on an intermediate endophenotype P-tau/Aβ42 ratio in ADNI cohort

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and the most common cause of dementia in the elderly worldwide. The exact etiology of AD, particularly its genetic mechanisms, remains incompletely understood. Traditional genome-wide association studies (GWAS), which primarily focus on single-nucleotide polymorphisms (SNPs) with main effects, provide limited explanations for the “missing heritability” of AD, while there is growing evidence supporting the important role of epistasis. In this study, we performed a genome-wide SNP–SNP interaction detection using a linear regression model and employed multiple GPUs for parallel computing, significantly enhancing the speed of whole-genome analysis. The cerebrospinal fluid (CSF) phosphorylated tau (P-tau)/amyloid-β42\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\beta _{42}$$\\end{document} (Aβ42\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\beta _{42}$$\\end{document}) ratio was used as a quantitative trait (QT) to enhance statistical power. Age, gender, and clinical diagnosis were included as covariates to control for potential non-genetic factors influencing AD. We identified 961 pairs of statistically significant SNP–SNP interactions, explaining a high-level variance of P-tau/Aβ42\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\beta _{42}$$\\end{document} level, all of which exhibited marginal main effects. Additionally, we replicated 432 previously reported AD-related genes and found 11 gene–gene interaction pairs overlapping with the protein-protein interaction (PPI) network. Our findings may contribute to partially explain the “missing heritability” of AD. The identified subnetwork may be associated with synaptic dysfunction, Wnt signaling pathway, oligodendrocytes, inflammation, hippocampus, and neuronal cells.

Implications of organophosphate pesticides on brain cells and their contribution towardprogression of Alzheimer's disease.

The most widespread neurodegenerative disorder, Alzheimer's disease (AD) is marked by severe behavioral abnormalities, cognitive and functional impairments. It is inextricably linked with the deposition of amyloid β (Aβ) plaques and tau protein in the brain. Loss of white matter, neurons, synapses, and reactive microgliosis are also frequently observed in patients of AD. Although the causative mechanisms behind the neuropathological alterations in AD are not fully understood, they are likely influenced by hereditary and environmental factors. The etiology and pathogenesis of AD are significantly influenced by the cells of the central nervous system, namely, glial cells and neurons, which are directly engaged in the transmission of electrical signals and the processing of information. Emerging evidence suggests that exposure to organophosphate pesticides (OPPs) can trigger inflammatory responses in glial cells, leading to various cascades of events that contribute to neuroinflammation, neuronal damage, and ultimately, AD pathogenesis. Furthermore, there are striking similarities between the biomarkers associated with AD and OPPs, including neuroinflammation, oxidative stress, dysregulation of microRNA, and accumulation of toxic protein aggregates, such as amyloid β. These shared markers suggest a potential mechanistic link between OPP exposure and AD pathology. In this review, we attempt to address the role of OPPs on altered cell physiology of the brain cells leading to neuroinflammation, mitochondrial dysfunction, and oxidative stress linked with AD pathogenesis.

Gene replacement-Alzheimer's disease (GR-AD): Modeling the genetics of human dementias in mice.

Genetic studies conducted over the past four decades have provided us with a detailed catalog of genes that play critical roles in the etiology of Alzheimer's disease (AD) and related dementias (ADRDs). Despite this progress, as a field we have had only limited success in incorporating this rich complexity of human AD/ADRD genetics findings into our animal models of these diseases. Our primary goal for the gene replacement (GR)-AD project is to develop mouse lines that model the genetics of AD/ADRD as closely as possible. To do this, we are generating mouse lines in which the genes of interest are precisely and completely replaced in the mouse genome by their full human orthologs. Each model set consists of a control line with a wild-type human allele and variant lines that precisely match the human genomic sequence in the control line except for a high-impact pathogenic mutation or risk variant.

3D convolutional neural networks uncover modality-specific brain-imaging predictors for Alzheimer’s disease sub-scores

Different aspects of cognitive functions are affected in patients with Alzheimer’s disease. To date, little is known about the associations between features from brain-imaging and individual Alzheimer’s disease (AD)-related cognitive functional changes. In addition, how these associations differ among different imaging modalities is unclear. Here, we trained and investigated 3D convolutional neural network (CNN) models that predicted sub-scores of the 13-item Alzheimer’s Disease Assessment Scale–Cognitive Subscale (ADAS–Cog13) based on MRI and FDG–PET brain-imaging data. Analysis of the trained network showed that each key ADAS–Cog13 sub-score was associated with a specific set of brain features within an imaging modality. Furthermore, different association patterns were observed in MRI and FDG–PET modalities. According to MRI, cognitive sub-scores were typically associated with structural changes of subcortical regions, including amygdala, hippocampus, and putamen. Comparatively, according to FDG–PET, cognitive functions were typically associated with metabolic changes of cortical regions, including the cingulated gyrus, occipital cortex, middle front gyrus, precuneus cortex, and the cerebellum. These findings brought insights into complex AD etiology and emphasized the importance of investigating different brain-imaging modalities.

The Carnitine Palmitoyl-Transferase 2 Cascade Hypothesis for Alzheimer's Disease.

Despite decades of intense research, the precise etiology of Alzheimer's disease (AD) remains unclear. In this hypothesis, we present a new perspective on this matter by identifying carnitine palmitoyl transferase-2 (CPT2) as a central target in AD. CPT2 is an enzyme situated within the inner mitochondrial membrane, playing a crucial role in beta-oxidation of fatty acids. It exhibits high sensitivity to hydrogen peroxide. This sensitivity holds relevance for the etiology of AD, as all major risk factors for the disease share a commonality in producing an excess of hydrogen peroxide right at this very mitochondrial membrane. We will explain the high sensitivity of CPT2 to hydrogen peroxide and elucidate how the resulting inhibition of CPT2 can lead to the characteristic phenotype of AD, thus clarifying its central role in the disease's etiology. This insight holds promise for the development of therapies for AD which can be implemented immediately.

Assessment of the protective and ameliorative impact of quercetin nanoparticles against neuronal damage induced in the hippocampus by acrolein

BackgroundThe most frequent kind of dementia in the senior population is Alzheimer's disease (AD). Antioxidant quercetin has a low bioavailability. The bioavailability of quercetin nanoparticles was demonstrated to be higher. Acrolein is thought to be the strongest unsaturated aldehyde. Acrolein contributes to the propagation of oxidative damage and thus the aetiology of AD. This study aimed to investigate histopathological and ultrastructural changes that may arise in the hippocampus following acrolein treatment. Quercetin nanoparticles' ameliorative and protective effects on acrolein-induced neurotoxicity and oxidative stress were assessed.ResultsWe successfully synthesised quercetin nanoparticles with uniform size distributions and particle diameters in the range of 3.63–4.57 nm using transmission electron microscopy (TEM) and 3.7 nm using dynamic light scattering (DLS). Administration of acrolein was associated with histopathological alterations in the hippocampal structure, such as increased apoptotic neurones, dystrophic changes, neuronophagia, and atrophic ischaemia in cells, as well as marked damage to the ultrastructure of the hippocampus, which was obvious in shrunken pyramidal neurones with pyknotic nuclei and completely degenerated chromatin material, as well as in damaged astrocytes and microglial cells. Treatment with quercetin nanoparticles has been found to protect against and ameliorate the toxic effects and oxidative stress induced by acrolein in the hippocampus.ConclusionsThis could pave the way for additional research in nanomedicine and a new line of therapeutic intervention in AD using nanoparticles such as quercetin nanoparticles.

Identification of blood metabolites associated with risk of Alzheimer's disease by integrating genomics and metabolomics data.

Specific metabolites have been reported to be potentially associated with Alzheimer's disease (AD) risk. However, the comprehensive understanding of roles of metabolite biomarkers in AD etiology remains elusive. We performed a large AD metabolome-wide association study (MWAS) by developing blood metabolite genetic prediction models. We evaluated associations between genetically predicted levels of metabolites and AD risk in 39,106 clinically diagnosed AD cases, 46,828 proxy AD and related dementia (proxy-ADD) cases, and 401,577 controls. We further conducted analyses to determine microbiome features associated with the detected metabolites and characterize associations between predicted microbiome feature levels and AD risk. We identified fourteen metabolites showing an association with AD risk. Five microbiome features were further identified to be potentially related to associations of five of the metabolites. Our study provides new insights into the etiology of AD that involves blood metabolites and gut microbiome, which warrants further investigation.

Associations between genetically predicted plasma protein levels and Alzheimer’s disease risk: a study using genetic prediction models

BackgroundSpecific peripheral proteins have been implicated to play an important role in the development of Alzheimer’s disease (AD). However, the roles of additional novel protein biomarkers in AD etiology remains elusive. The availability of large-scale AD GWAS and plasma proteomic data provide the resources needed for the identification of causally relevant circulating proteins that may serve as risk factors for AD and potential therapeutic targets.MethodsWe established and validated genetic prediction models for protein levels in plasma as instruments to investigate the associations between genetically predicted protein levels and AD risk. We studied 71,880 (proxy) cases and 383,378 (proxy) controls of European descent.ResultsWe identified 69 proteins with genetically predicted concentrations showing associations with AD risk. The drugs almitrine and ciclopirox targeting ATP1A1 were suggested to have a potential for being repositioned for AD treatment.ConclusionsOur study provides additional insights into the underlying mechanisms of AD and potential therapeutic strategies.

A review of the roles of pathogens in Alzheimer's disease.

Alzheimer's disease (AD) is one of the leading causes of dementia and is characterized by memory loss, mental and behavioral abnormalities, and impaired ability to perform daily activities. Even as a global disease that threatens human health, effective treatments to slow the progression of AD have not been found, despite intensive research and significant investment. In recent years, the role of infections in the etiology of AD has sparked intense debate. Pathogens invade the central nervous system through a damaged blood-brain barrier or nerve trunk and disrupt the neuronal structure and function as well as homeostasis of the brain microenvironment through a series of molecular biological events. In this review, we summarize the various pathogens involved in AD pathology, discuss potential interactions between pathogens and AD, and provide an overview of the promising future of anti-pathogenic therapies for AD.

Mendelian Randomization Analysis Reveals Causal Factors behind Alzheimer's Disease Risk: Evidence, Opportunities, and Challenges.

Alzheimer's disease and its comorbidities pose a heavy disease burden globally, and its treatment remains a major challenge. Identifying the protective and risk factors for Alzheimer's disease, as well as its possible underlying molecular processes, can facilitate the development of interventions that can slow its progression. Observational studies and randomized controlled trials have provided some evidence regarding potential risk factors for Alzheimer's disease; however, the results of these studies vary. Mendelian randomization is a novel epidemiological methodology primarily used to infer causal relationships between exposures and outcomes. Many Mendelian randomization studies have identified potential causal relationships between Alzheimer's disease and certain diseases, lifestyle habits, and biological exposures, thus providing valuable data for further mechanistic studies and the development and implementation of clinical prevention strategies. However, the results and data from Mendelian randomization studies must be interpreted based on comprehensive evidence. Moreover, the existing Mendelian randomization studies on the epidemiology of Alzheimer's disease have some limitations that are worth exploring. Therefore, the aim of this review was to summarize the available evidence on the potential protective and risk factors for Alzheimer's disease by assessing published Mendelian randomization studies on Alzheimer's disease, and to provide new perspectives on the etiology of Alzheimer's disease.

Literature review of Alzheimer’s disease aetiology

Introduction: The most prevalent neurodegenerative illness and kind of dementia is Alzheimer’s disease (AD). It shows up as a reduction in short-term memory and cognitive function that affects day-to-day functioning. The majority of Alzheimer’s cases are idiopathic, but a tiny percentage of hereditary instances provide gene identification, which when combined with neuropathology provides crucial hints regarding the broader causes. The development and course of the illness are influenced by metabolic and environmental risk factors, such as vascular impairment and inflammation. We still don’t fully grasp how neuronal shrinkage and synaptic loss occur across the cerebral cortex. The aim of this review paper is to give a concise overview of AD and its pathogenesis. Methods: Relevant terms were applied to several databases (including CENTRAL; CINAHL; EMBASE; Medline Ovid; and PubMed NCBI) to search for studies exploring aetiology of AD. Result and discussion: Eight etiological theories have been identified based our database search. These include: 1) The aging process; 2) The deterioration of cholinergic and cortical anatomic channels; 3) Environmental factors; 4) Genetic causes; 5) Metabolic malfunction resulting from defects in the mitochondria; 6) Blood/brain barrier impairments; 7) Immune and viral aetiology. Keywords: Alzheimer’s disease, aetiology, Theory of Aging, Cholinergic hypothesis.

Thirty Risk Factors for Alzheimer's Disease Unified by a Common Neuroimmune-Neuroinflammation Mechanism.

One of the major obstacles confronting the formulation of a mechanistic understanding for Alzheimer's disease (AD) is its immense complexity-a complexity that traverses the full structural and phenomenological spectrum, including molecular, macromolecular, cellular, neurological and behavioural processes. This complexity is reflected by the equally complex diversity of risk factors associated with AD. However, more than merely mirroring disease complexity, risk factors also provide fundamental insights into the aetiology and pathogenesis of AD as a neurodegenerative disorder since they are central to disease initiation and subsequent propagation. Based on a systematic literature assessment, this review identified 30 risk factors for AD and then extended the analysis to further identify neuroinflammation as a unifying mechanism present in all 30 risk factors. Although other mechanisms (e.g., vasculopathy, proteopathy) were present in multiple risk factors, dysfunction of the neuroimmune-neuroinflammation axis was uniquely central to all 30 identified risk factors. Though the nature of the neuroinflammatory involvement varied, the activation of microglia and the release of pro-inflammatory cytokines were a common pathway shared by all risk factors. This observation provides further evidence for the importance of immunopathic mechanisms in the aetiopathogenesis of AD.

Neuroprotective Potential of Total Extract of Ulva Lactuca: An In vitro study

Alzheimer's disease (AD) is mainly general form of dementia that is linked to the increase of extracellular amyloid beta (Aβ) plaques. Oxidative stress and neurotoxicity events that are linked to the aetiology of AD have been postulated to be influenced by genetic, environmental, and dietary variables. Using the use of in vitro models, we attempted to determine whether or not Ulva lactuca had antioxidant and neuroprotective properties. SH-SY5Y The research employed pre-existing Neuroblastoma cell lines. Caspase 3 expression was also determined to know the level of protection of neuronal cells. Our results showed that the total extract of UL effectively reduced cell death and caspase 3 levels were also decreased in the cells treated with TEUL. The extract also has effective antioxidant properties proved. Further, it was also proved that the extract also has acetylcholinesterase enzyme inhibitory activity which is essential in treating AD.

Alleviation of behavioral deficits, amyloid-β deposition, and mitochondrial structure damage associated with mitophagy upregulation in AD animal models via AAV9-IGF-1 treatment

By safeguarding the neurological system, insulin-like growth factor 1 (IGF-1) may have a role in the etiology of Alzheimer's disease (AD). The mechanism and signaling route, however, remain unclear. This research aimed to investigate the impact of IGF-1 on AD as well as its possible mechanism and signaling route. In this work, intracerebroventricular AAV9-IGF-1 was delivered to APP/PS1 transgenic mice. Following therapy, the Morris water maze and passive avoidance tests were administered to evaluate spatial learning and memory. The elevated plus maze, the open field test, and the sucrose preference test were used to evaluate anxious-depressive-like behavior. Thioflavin S staining was employed to visualize Aβ deposition, and ELISA was used to determine the quantities of soluble Aβ1-40 and Aβ1-42. Transmission electron microscopy was used to view the mitochondrial structure and mitophagy vesicles. The protein expression levels of PINK1, Parkin, and LC3-II/LC3-I were finally determined by Western blotting. AAV9-IGF-1 therapy enhanced spatial learning and memory, relieved anxious-depressive-like behavior impairments, lowered amyloid-β deposition, and decreased levels of soluble Aβ1-40 and Aβ1-42. In addition, AAV9-IGF-1 therapy restored mitochondrial integrity and increased the number of mitophagy in transgenic mice expressing APP/PS1. These results indicate that IGF-1 is protective for APP/PS1 mice. The mechanism of the favorable benefits mediated by IGF-1 was connected to an increase in mitophagy, which might give a novel therapy target in the future.