A systematic integrated analysis of brain expression profiles reveals YAP1 and other prioritized hub genes as important upstream regulators in Alzheimer's disease

Microglial MS4A4A Protects against Epileptic Seizures in Alzheimer's Disease

Alzheimer's disease (AD) is a predominant neurodegenerative disorder worldwide, with epileptic seizures being a common comorbidity that can exacerbate cognitive deterioration in affected individuals, thus highlighting the importance of early therapeutic intervention. It is determined that deletion of Ms4a4a, an AD-associated gene, exacerbates seizures in amyloid β (Aβ)-driven AD mouse model. MS4A4A is significantly upregulated in brain lesions in patients with epilepsy. Single-cell sequencing reveals that MS4A4A is highly expressed in microglia within these lesions, linked to enhanced phagocytic activity. Mechanistic investigation delineates that deletion of Ms4a4a impairs microglial phagocytosis, accompanied by diminished calcium influx and disruptions in mitochondrial metabolic fitness. The cytosolic fragment of Ms4a4a is anchored to the cytoskeletal components, supporting its critical role in mediating phagocytosis. Induction of Ms4a4a through central delivery of LNP-Il4 alleviates seizure conditions. Collectively, these findings identify Ms4a4a as a potential therapeutic target for managing seizures in AD treatment.

The lysosomal-associated membrane protein 2-macroautophagy pathway is involved in the regulatory effects of hippocampal aromatase on Aβ accumulation and AD-like behavior

AIMS

Hippocampal aromatase (AROM) knockdown induces Aβ accumulation and Alzheimer's disease (AD)-like spatial learning and memory impairment, and early hippocampal AROM overexpression in APP/PS1 mice prevents Aβ deposition and memory loss later in life. The aim of this study was to elucidate the underlying mechanism and provide novel prevention and treatment targets for AD.

MATERIALS AND METHODS

AROM-inhibiting viral vectors were constructed and injected into the hippocampi of adult female mice, after which label-free LC-MS/MS proteomics and bioinformatics analysis were conducted. Additional viral vectors targeting LAMP2 or LC3 were constructed and used to treat HT22 cells. LAMP2 expression was verified, and macroautophagy levels, autophagosome formation and Aβ accumulation were examined. Additionally, ovariectomy combined with the hippocampal injection of LAMP2 inhibition/overexpression viral vectors was applied, and learning and memory abilities and Aβ accumulation were examined.

KEY FINDINGS

Proteomics revealed the enrichment of CMA and autophagy, and LAMP2 was the most significantly upregulated protein. Higher LAMP2 levels were correlated with lower macroautophagy and autophagosomes levels but were correlated with higher Aβ accumulation, and vice versa. Additionally, hippocampal LAMP2 mediated the effects of ovariectomy on spatial memory and Aβ accumulation.

SIGNIFICANCE

These results demonstrated the important role of the hippocampal LAMP2-macroautophagy pathway in mediating both hippocampal and ovarian estrogen regulation of Aβ accumulation and AD-like behavior, indicating that LAMP2 might be a novel target for both hippocampal and circulating estrogen deficiency-associated memory impairments, such as AD.

Accumulation of Damaging Lipids in the Arf1-Ablated Neurons Promotes Neurodegeneration through Releasing mtDNA and Activating Inflammatory Pathways in Microglia

Lipid metabolism disorders in both neurons and glial cells have been found in neurodegenerative (ND) patients and animal models. However, the pathological connection between lipid droplets and NDs remains poorly understood. The recent work has highlighted the utility of a neuron-specific Arf1-knockout mouse model and corresponding cells for elucidating the nexus between lipid metabolism disorders and amyotrophic lateral sclerosis (ALS) and multiple sclerosis (MS). In this study, it is found that Arf1 deficiency first induced surplus fatty acid synthesis through the AKT-mTORC1-SREBP1-FASN axis, which further triggered endoplasmic reticulum (ER)-mitochondrial stress cascade via calcium flux. The organelle stress cascade further caused mitochondrial DNA (mtDNA) to be released into cytoplasm. Concurrently, the FASN-driven fatty acid synthesis in the Arf1-deficient neurons might also induce accumulation of sphingolipids in lysosomes that caused dysfunction of autophagy and lysosomes, which further promoted lysosomal stress and mitochondria-derived extracellular vesicles (MDEVs) release. The released MDEVs carried mtDNA into microglia to activate the inflammatory pathways and neurodegeneration. The studies on neuronal lipid droplets (LDs) and recent studies of microglial LDs suggest a unified pathological function of LDs in NDs: activating the inflammatory pathways in microglia. This finding potentially provides new therapeutic strategies for NDs.

Changes in transcriptional regulation in the temporal lobe in patients with Alzheimer's disease

BackgroundAlzheimer's disease (AD) is a complex neurodegenerative disorder with intricate pathophysiological mechanisms. Transcriptome analysis has been used to investigate the pathogenesis of AD from the perspectives of mRNA expression, alternative splicing, and alternative polyadenylation. However, these 3 transcriptomic regulatory layers have not been comprehensively explored, limiting our understanding of the transcriptomic landscapes of AD pathogenesis.ObjectiveWe aimed to describe the transcriptomic landscapes of AD pathogenesis, detect the contributions of different regulatory layers to the total transcriptional variance, and identify diagnostic candidates for AD prediction.MethodsWe collected RNA sequencing data derived from the temporal lobes of 257 patients with AD and 97 controls, performed joint transcriptional analysis with multi-omics factor analysis (MOFA2) and weighted gene co-expression network analysis (WGCNA), and evaluated the signals with regression models.ResultsWe found that increasing Braak stage is associated with progressive downregulation of SYT1, CHN1, SNAP25, VSNL1, and ENC1 as well as upregulation of TNS1, SGK1, CPM, PPFIBP, and CLMN. Subsequent MOFA2 revealed that alternative splicing contributes most (R2 = 0.558) to the transcriptional variance between patients with AD and controls followed by alternative polyadenylation (R2 = 0.449) and mRNA expression (R2 = 0.438). In addition, the regression model constructed with SNAP25, VSNL1, and ENC1 expression could distinguish between patients with AD and controls (AUC = 0.752).ConclusionsWe systematically detailed the transcriptional landscapes in patients with AD and report mRNA signals associated with AD, offering novel insights into AD pathogenesis and therapeutic development.

Circular RNA aptamers targeting neuroinflammation ameliorate Alzheimer disease phenotypes in mouse models

Alzheimer disease (AD) therapy may benefit from optimized approaches to inhibit neuroinflammation. Small-molecule inhibitors of the proinflammatory molecule double-stranded RNA (dsRNA)-activated protein kinase R (PKR) have efficacy in AD models but their utility is compromised by adverse side effects. Here, we target PKR in two mouse models of AD using circular RNAs containing short double-stranded regions (ds-cRNAs), which are structurally similar to what we used previously to target PKR in psoriasis models. We show that the intrahippocampal injection of ds-cRNAs to neurons and microglia by adeno-associated virus (AAV) effectively dampens excessive PKR activity with minimal toxicity, accompanied by reduced neuroinflammation and amyloid-β plaques. We also deliver ds-cRNAs to the whole brain through intravenous injection of AAV-PHP.eB, which crosses the blood-brain barrier, resulting in neuroprotection and enhanced capability of spatial learning and memory in AD mouse models. The delivery of ds-cRNAs at different progressive stages of AD alleviates disease phenotypes, with therapeutic effects sustained for at least 6 months after a single administration.

Cardiorenal protective effects of Tanhuo decoction in acute myocardial infarction via regulating multi-target inflammation and metabolic signaling pathways

Introduction

Inflammation is a key driver of adverse outcomes in acute myocardial infarction (AMI), yet current western anti-inflammatory therapies are limited by their single-target nature and side effects. Traditional Chinese medicine (TCM), such as Tanhuo Decoction (THD), offers a multi-target, low-toxicity alternative.

Methods

In a randomized controlled trial, AMI patients with high inflammatory responses received either standard Western medicine (WM) alone or combined with THD for 3 days. Clinical outcomes and inflammatory markers were assessed, and proteomic and network pharmacology analyses were performed.

Results

The THD + WM group showed significant reductions in neutrophil counts and hs-CRP levels, along with improved creatinine clearance rate (CCR), compared to WM alone. Proteomic analysis revealed downregulation of pro-inflammatory proteins (PTX3, IL-18, TNFRSF11A) and upregulation of the anti-inflammatory IL1RL2. THD also modulated lipid metabolism and insulin sensitivity pathways.

Discussions

THD enhances the anti-inflammatory and metabolic benefits of standard AMI therapy through multi-target pathway regulation. These findings support its integration into modern cardiovascular care, particularly for patients with high inflammatory and metabolic risk.

The Impact of the Exposome on Alzheimer's Disease: The Influence of Nutrition

Alzheimer's disease (AD) is a progressive neurodegenerative disease characterized by cognitive decline, memory loss, and behavioural changes. While genetic predispositions and pathological processes have been the traditional focus, this review highlights the fundamental role of environmental factors, particularly nutrition, within the exposome framework in modulating the risk and progression of AD. The exposome, which includes the totality of environmental exposures in an individual's lifetime, provides a comprehensive approach to understanding the complex aetiology of AD. In this review, we explore the impact of dietary factors and cyclic nucleotide pathways (cAMP/cGMP) on AD, emphasizing the potential of dietary interventions as therapeutic strategies. We investigate key aspects of how nutrition affects the accumulation of β-amyloid, the aggregation of tau proteins, and neuroinflammation. We also examine the impact of specific nutrients on cognitive performance and the risk of AD. Additionally, we discuss the potential of nutraceuticals with anti-phosphodiesterase activity and the role of various animal models of AD (such as 5xFAD, 3xTg-AD, Tg2576, and APP/PS1 mice) in demonstrating the effects of dietary interventions on disease onset and progression.

The E3 Ubiquitin Ligase PRAJA1: A Key Regulator of Synaptic Dynamics and Memory Processes with Implications for Alzheimer's Disease

The precise regulation of synaptic function by targeted protein degradation is fundamental to learning and memory, yet the roles of many brain-enriched E3 ubiquitin ligases in this process remain elusive. Here, we uncover a critical and previously unappreciated role for the E3 ubiquitin ligase PRAJA1 in orchestrating synaptic plasticity and hippocampus-dependent memory. Utilizing C57BL/6 and 5xFAD male mice and employing a multi-faceted approach including protein biochemistry, molecular biology, in vitro electrophysiology, and behavioral assays, we demonstrate that long-term potentiation (LTP) induction triggers a rapid, proteasome-dependent downregulation of PRAJA1 within the CA1 region of the hippocampus. Critically, selective knockdown of PRAJA1 in vivo profoundly enhanced both object recognition and spatial memory, while disrupting normal exploratory behavior. Mechanistically, we reveal that PRAJA1 acts as a key regulator of synaptic architecture and transmission: its downregulation leads to a reduction in key synaptic proteins and spine density, influencing the excitatory/inhibitory balance and facilitating synaptic plasticity. Conversely, increased PRAJA1 expression potentiates GABAergic transmission. Furthermore, we identify spinophilin as a novel substrate of PRAJA1, suggesting a direct molecular link between PRAJA1 and synaptic remodeling. Strikingly, our findings implicate dysregulation of PRAJA1 in the pathogenesis of Alzheimer's disease, positioning PRAJA1 as a potential therapeutic target for cognitive enhancement in neurodegenerative conditions. These results unveil PRAJA1 as a critical molecular brake on synaptic plasticity and memory formation, offering a promising new avenue for understanding and potentially treating memory impairment.

Network pharmacology exploring the mechanistic role of indirubin phytoconstituent from Indigo naturalis targeting GSK-3β in Alzheimer's disease

One of the most common causes of dementia in older adults is Alzheimer's disease (AD). Numerous mechanisms, including acetylcholine breakdown, amyloid beta buildup, neurofibrillary tangle accumulation, and inflammation, are involved in the pathogenesis of AD. Different targets have been demonstrated in studies to alleviate the cognitive impairment in AD. In AD, amyloid β impairs phosphatidylinositol-3 (PI3)/Akt signaling, activating GSK-3β. This sequence leads to an increase in the phosphorylation of tau, the creation of neurofibrillary tangles, neuronal death, loss of synapses, and memory impairments, all of which are typical symptoms seen in the brains of individuals with AD. Using network pharmacology, molecular docking, and MD simulations, we have determined that indirubin can selectively interact with glycogen synthase kinase 3 beta (GSK-3β). Traditional Chinese Medicine, including Indigo naturalis, is known to have the ability to control chronic diseases having indirubin as the main phytoconstituent. The binding energy of indirubin was -10.9 kcal/mol, which was better than that of the reference ligand with -9.4 kcal/mol. According to MD simulations, the indirubin-GSK-3β complex remained stable during the simulation, exhibiting an RMSD of 1.90 in comparison to the 2.01 and 2.34 for reference-GSK-3β complex and free protein, respectively. According to our study, indirubin phytoconstituent from Indigo naturalis, targets GSK-3β in AD, additional investigation in the quest for inhibitors of this crucial biological target required further in-vitro/in-vivo experimental validations.

CPNE7 Regulates Amyloidogenesis Through CAP1-Dependent ADAM10 Translation

The accumulation of amyloid plaques is a pathological hallmark of Alzheimer's disease (AD), in which ADAM10, the α-secretase that catalyzes APP and facilitates the non-amyloidogenesis pathway, plays an important role. We have previously reported that the expression of copine-7 (Cpne7) in the hippocampus of APP/PS1 mice is significantly upregulated by nicotine, whereas the potential role of CPNE7 in AD remains largely unknown. Here, we report that CPNE7 protein levels are significantly decreased in APP/PS1 mice and HEK293 cells stably expressing full-length APP. CPNE7 is shown to reduce Aβ levels by favoring ADAM10 activity, and the elevated ADAM10 protein by CPNE7 involves a translational mechanism. Further transcriptome profiling reveals that CPNE7 differentially regulates genes associated with neuronal function. Among these, cyclase-associated actin cytoskeleton regulatory protein 1 (CAP1) is identified as a target gene of CPNE7, which controls ADAM10 translation through binding to the 5' untranslated region (5'UTR). Collectively, the CPNE7-CAP1 axis could be critical in the amyloidogenic pathway by regulating ADAM10 translation, in which the RNA binding activity of CAP1 is highlighted.

Insulin-Like Growth Factor Signaling in Alzheimer's Disease: Pathophysiology and Therapeutic Strategies

Alzheimer's disease (AD) is the leading cause of dementia among the elderly population, posing a significant public health challenge due to limited therapeutic options that merely delay cognitive decline. AD is associated with impaired energy metabolism and reduced neurotrophic signaling. The insulin-like growth factor (IGF) signaling pathway, crucial for central nervous system (CNS) development, metabolism, repair, cognition, and emotion regulation, includes IGF-1, IGF-2, IGF-1R, IGF-2R, insulin receptor (IR), and six insulin-like growth factor binding proteins (IGFBPs). Research has identified abnormalities in IGF signaling in individuals with AD and AD models. Dysregulated expression of IGFs, receptors, IGFBPs, and disruptions in downstream phosphoinositide 3-kinase-protein kinase B (PI3K/AKT) and mitogen-activated protein kinase (MAPK) pathways collectively increase AD susceptibility. Studies suggest modulating the IGF pathway may ameliorate AD pathology and cognitive decline. This review explores the CNS pathophysiology of IGF signaling in AD progression and assesses the potential of targeting the IGF system as a novel therapeutic strategy. Further research is essential to elucidate how aberrant IGF signaling contributes to AD development, understand underlying molecular mechanisms, and evaluate the safety and efficacy of IGF-based treatments.

C/EBPβ in Alzheimer's disease: An integrative regulator of pathological mechanisms

Alzheimer's disease (AD) stands as one of the most prevalent neurodegenerative disorders, characterized by a progressive decline in cognitive function, neuroinflammation, amyloid-beta (Aβ) plaques, and neurofibrillary tangles (NFTs). With the global aging population, the incidence of AD continues to rise, yet current therapeutic strategies remain limited in their ability to significantly alleviate cognitive impairments. Therefore, a deeper understanding of the molecular mechanisms underlying AD is imperative for the development of more effective treatments. In recent years, the transcription factor C/EBPβ has emerged as a pivotal regulator in several pathological processes of AD, including neuroinflammation, lipid metabolism, Aβ processing, and tau phosphorylation. Through intricate post-translational modifications, C/EBPβ modulates these processes and may influence the progression of AD on multiple fronts. This review systematically explores the multifaceted roles of C/EBPβ in the pathogenesis of AD, delving into its crucial involvement in neuroinflammation, Aβ production, tau pathology, and lipid metabolism dysregulation. Furthermore, we critically assess therapeutic strategies targeting C/EBPβ, examining the challenges and opportunities in regulating this factor. By synthesizing the latest research findings, we offer a more comprehensive understanding of the role of C/EBPβ in AD and discuss its potential as a therapeutic intervention target.

Dihydroergotamine and Bromocriptine: Potential Drugs for the Treatment of Major Depressive Disorder and Alzheimer's Disease Comorbidity

Alzheimer's disease (AD) is the most prevalent neurodegenerative disease that is characterized by memory loss and cognitive impairment. Evidence shows that depression is a common co-occurrence in AD patients, and major depressive disorder (MDD) is considered a risk factor for AD. The crosstalk between the biological procedures related to the two disorders makes it very difficult to treat the comorbid conditions caused by them. Considering the common pathophysiological mechanisms underlying AD and MDD, antidepressant drugs may have beneficial therapeutic effects against their concurrence. In this study, we aimed to explore the potential drug candidates for the prevention and treatment of the comorbidity of AD and MDD. First, we screened the potential drugs for treating MDD by evaluating the distances of drug targets to MDD-related genes on the human protein-protein interaction network (PPIN) via a network-based algorithm. Then, the drugs were further screened to identify those that may be effective for AD treatment by analyzing their affinities with tau protein and Aβ42 peptide via molecular docking. Furthermore, the most stable binding modes were identified via molecular dynamics simulations, and the regulatory effects of drug candidates on genes involved in the pathogenesis of AD and MDD were analyzed. A total of 506 MDD-related genes were retrieved, and 831 drug candidates for MDD treatment were screened via the network-based approach. The results from molecular docking and molecular dynamics simulations indicated dihydroergotamine had the lowest binding affinity with tau protein and bromocriptine could form the most stable binding mode with Aβ42 peptide. Further analyses found that both dihydroergotamine and bromocriptine could regulate the expression of genes involved in the pathogenesis of AD and/or MDD in the brain. The exact mechanisms of the two drugs in treating AD and MDD, as well as their comorbidity, are still unclear, and further exploration is needed to evaluate their roles and mechanisms, both in vitro and in vivo. This study revealed that dihydroergotamine and bromocriptine may be the potential drug candidates for the treatment of the comorbidity of AD and MDD, and the therapeutic effects may be achieved by inhibiting the accumulation and aggregation of Aβ42 and tau protein and regulating the expression of disease-related genes in the brain.

Co-occurrence of Parkinson's disease and Retinitis Pigmentosa: A genetic and in silico analysis

INTRODUCTION

Parkinson's disease (PD) is primarily driven by the protein Alpha Synuclein (A-Syn) accumulation. Synphilin-1 protein, encoded by the SNCAIP gene, which co-localizes with A-Syn is a known risk factor for PD. Retinitis pigmentosa (RP), is a cluster of retinal degenerative disorders, and Cyclic Nucleotide Gated channel subunit Alpha 1 (CNGA1) is one of the initial genes associated with RP. Patients with PD can have various kinds of visual dysfunction as a non-motor manifestation, but to date, CNGA1 mutation and RP as a PD associated visual symptom has not been reported. We report a mutation in the SNCAIP gene in a PD patient, not reported earlier, and its co-occurrence with RP-associated CNGA1 gene mutation.

METHOD

Whole exome sequencing (WES) of the patient DNA sample and in-silico protein-protein interaction (PPI) analysis performed to find out proteins interacting with SNCAIP relevant concerning reported mutation of SNCAIP and further, CNGA1 interaction with SNCAIP.

RESULT

We are reporting, a missense mutation (p.Thr64Ser) at the SNCAIP gene, co-occurring with a missense variation (p.Gly509Arg) in the CNGA1 gene. In silico PPI analysis suggests SIAH1 as an important protein affected by SNCAIP mutation. LGALS4 and SNCA (gene encoding A-Syn) are common interactors between SNCAIP and CNGA1.

CONCLUSION

The current study has determined the co-occurrence of RP and PD, whole exome sequencing ascertains the mutations in SNCAIP and CNGA1 genes, which could be the cause of PD and RP co-occurrence.

Exploring the molecular characterization of PANoptosis-related genes with features of immune dysregulation in Alzheimer's disease based on bulk and single-nuclei RNA sequencing

The immune system has emerged as a major factor in the pathogenesis of Alzheimer's disease (AD). PANoptosis is a newly defined programmed cell death mechanism related to many inflammatory diseases. This study aimed to identify the differentially expressed (DE) PANoptosis-related genes with characteristics of immune dysregulation (PRGIDs) in AD using bioinformatics analysis of bulk RNA-seq and single-nuclei RNA sequencing (snRNA-seq) data. To improve the robustness of gene selection, we integrated 3 microarray and 6 snRNA-seq datasets from the Gene Expression Omnibus (GEO), which allowed us to not only examine overall gene expression patterns but also assess the cellular specificity of gene expression at the single-cell level. This approach helped to identify cell-type-specific gene alterations that may be masked in bulk RNA-seq analyses. Relevant PANoptosis, immune dysregulation, and AD-related genes were obtained from the Genecards database. The AlzData database was also used in this study. Expression validation, the least absolute shrinkage and selection operator (LASSO) regression model, and CytoHubba algorithms were applied for key DE-PRGIDs selection. LASSO, Logistic, and Cox regressions were used to construct prognostic models. The receiver operating characteristic (ROC) curve and correlation analyses were conducted on key DE-PRGIDs. The Seurat package in R software was employed for performing snRNA-seq data processing. Uniform manifold approximation and projection (UMAP) was utilized for cell type annotation and PRGID cell visualization. The violin plot was applied for displaying expression levels of PRGIDs. High-dimensional consensus weighted gene co-expression network analysis (hdWGCNA) was conducted on microglia to identify gene modules and hub genes. Venn diagram analysis identified 250 PRGIDs and 39 DE-PRGIDs. NFKBIA was identified as the key gene. Prognostic models based on the expression level of NFKBIA were obtained. ROC curve analysis revealed its area under the curve (AUC) value: 0.661 in training set and 0.836 in validation set. The heatmap displayed the result of correlation analysis. SnRNA-seq data analysis identified 7 cell types. The UMAP and violin plots revealed highly expressed PRGIDs in microglia with remarkable differences between healthy controls and AD. hdWGCNA identified PVT1 and APOE as hub genes associated with microglia. In conclusion, our findings provide evidence that PANoptosis may play a role in the immune dysregulation observed in AD. PVT1 has been implicated in AD pathogenesis, potentially exerting its effects through the miR-488-3p/FOXD3/SCN2A axis.

Precision Prediction of Alzheimer's Disease: Integrating Mitochondrial Energy Metabolism and Immunological Insights

Alzheimer's disease (AD), a prevalent neurodegenerative disorder, is characterized by mitochondrial dysfunction and immune dysregulation. This study is aimed at developing a risk prediction model for AD by integrating multi-omics data and exploring the interplay between mitochondrial energy metabolism-related genes (MEMRGs) and immune cell dynamics. We integrated four GEO datasets (GSE132903, GSE29378, GSE33000, GSE5281) for differential gene expression analysis, functional enrichment, and weighted gene co-expression network analysis (WGCNA). We identified two key gene modules (turquoise and magenta) significantly correlated with AD. Subsequently, we constructed a risk prediction model incorporating five MEMRGs (MRPL15, RBP4, ABCA1, MPV17, and MRPL37) and clinical factors using LASSO regression. The model demonstrated robust predictive performance (AUC > 0.815) in both internal and external validation (GSE44770) cohorts. Downregulation of MRPL15, RBP4, MPV17, and MRPL37 in AD brain regions (validated using AlzData and qRT-PCR) suggests impaired mitochondrial function. Conversely, ABCA1 upregulation may represent a compensatory response. Furthermore, significant differences in immune cell proportions, particularly gamma delta T cells (p = 0.002) and activated CD4 memory T cells (p = 0.027), were found between AD and non-demented samples. We observed significant correlations between MEMRG expression and specific immune cell fractions, indicating a potential link between mitochondrial dysfunction and immune dysregulation in AD. Our study provides a reliable risk prediction model for AD and highlights the crucial roles of MEMRGs and immune responses in disease pathogenesis, offering potential targets for therapeutic interventions.

Exercise-induced upregulation of TRIM9 attenuates neuroinflammation in Alzheimer's disease-like rat

OBJECTIVE

Exercise exerts protective effects against Alzheimer's disease (AD). However, the factors and mechanisms underlying these effects remain largely unknown. This study aims to elucidate the molecular mechanisms by which exercise exerts its protective effects against AD.

METHODS

Male 7-week-old Sprague-Dawley rats were randomly allocated to four groups (n = 10 per group): control (CON), exercise control (EXE), sedentary AD model induced by intracerebroventricular streptozotocin (STZ) injection, and AD model with treadmill exercise (EXE + STZ). The exercise groups underwent a 13-week treadmill exercise. An intracerebroventricular injection of STZ was used to induce a rat model of AD. The Barnes maze task was employed as an assessment of spatial learning and memory. Hippocampal tissues from three rats per group was collected for proteomic analysis. Immunofluorescence staining, western blot analysis and polymerase chain reaction were performed for the evaluation of Aβ production, tau hyperphosphorylation, differential protein and corresponding signaling pathway.

RESULTS

Treadmill exercise could significantly improve STZ-induced cognitive dysfunction and provide neuroprotection by reducing Aβ deposition and tau hyperphosphorylation. Proteomic analysis and further studies demonstrated that treadmill training could significantly increase the expression of tripartite motif-containing 9 (TRIM9). Subsequent research indicated that the upregulation of TRIM9 maybe due, in part,to the inhibition of the NF-κB pathway, thereby reducing the pro-inflammatory factor, and exerting an anti-inflammatory effect.

CONCLUSIONS

Treadmill exercise attenuates cognitive decline in AD models by upregulating TRIM9 expression, which in turn inhibits NF-κB-mediated neuroinflammation. These findings suggest that TRIM9 may serve as a potential therapeutic target for immunomodulatory strategies against AD.

Uncovering the epigenetic regulatory clues of PRRT1 in Alzheimer's disease: a strategy integrating multi-omics analysis with explainable machine learning

BACKGROUND

Alzheimer's disease (AD) is a complex neurodegenerative disorder with a largely unexplored epigenetic landscape.

OBJECTIVE

This study employs an innovative approach that integrates multi-omics analysis and explainable machine learning to explore the epigenetic regulatory mechanisms underlying the epigenetic signature of PRRT1 implicated in AD.

METHODS

Through comprehensive DNA methylation and transcriptomic profiling, we identified distinct epigenetic signatures associated with gene PRRT1 expression in AD patient samples compared to healthy controls. Utilizing interpretable machine learning models and ELMAR analysis, we dissected the complex relationships between these epigenetic signatures and gene expression patterns, revealing novel regulatory elements and pathways. Finally, the epigenetic mechanisms of these genes were investigated experimentally.

RESULTS

This study identified ten epigenetic signatures, constructed an interpretable AD diagnostic model, and utilized various bioinformatics methods to create an epigenomic map. Subsequently, the ELMAR R package was used to integrate multi-omics data and identify the upstream transcription factor MAZ for PRRT1. Finally, experiments confirmed the interaction between MAZ and PRRT1, which mediated apoptosis and autophagy in AD.

CONCLUSION

This study adopts a strategy that integrates bioinformatics analysis with molecular experiments, providing new insights into the epigenetic regulatory mechanisms of PRRT1 in AD and demonstrating the importance of explainable machine learning in elucidating complex disease mechanisms.

Identification of Endometriosis Pathophysiologic-Related Genes Based on Meta-Analysis and Bayesian Approach

Endometriosis is a complex disease with diverse etiologies, including hormonal, immunological, and environmental factors; however, its exact pathogenesis remains unknown. While surgical approaches are the diagnostic and therapeutic gold standard, identifying endometriosis-associated genes is a crucial first step. Five endometriosis-related gene expression studies were selected from the available datasets. Approximately, 14,167 genes common to these 5 datasets were analyzed for differential expression. Meta-analyses utilized fold-change values and standard errors obtained from each analysis, with the binomial and continuous datasets contributing to endometriosis presence and endometriosis severity meta-analysis, respectively. Approximately 160 genes showed significant results in both meta-analyses. For Bayesian analysis, endometriosis-related single nucleotide polymorphisms (SNPs), the human transcription factor catalog, uterine SNP-related gene expression, disease-gene databases, and interactome databases were utilized. Twenty-four genes, present in at least three or more databases, were identified. Network analysis based on Pearson's correlation coefficients revealed the HLA-DQB1 gene with both a high score in the Bayesian analysis and a central position in the network. Although ZNF24 had a lower score, it occupied a central position in the network, followed by other ZNF family members. Bayesian analysis identified genes with high confidence that could support discovering key diagnostic biomarkers and therapeutic targets for endometriosis.

A Serum Pharmacochemistry and Network Pharmacology-based Approach to Study the Anti-depressant Effect of Chaihu-Shugan San

AIMS

The aim of this study is to explore the anti-depressant mechanism of Chaihu- Shugan San based on serum medicinal chemistry and network pharmacology methods.

BACKGROUND

Depression lacks effective treatments, with current anti-depressants ineffective in 40% of patients. Chaihu-Shugan San (CHSGS) is a well-known traditional Chinese medicine compound to treat depression. However, the chemical components and the underlying mechanisms targeting the liver and brain in the anti-depressant effects of CHSGS need to be elucidated.

METHODS

The chemical components of CHSGS in most current network pharmacology studies are screened from TCMSP and TCMID databases. In this study, we investigated the mechanism and material basis of soothing the liver and relieving depression in the treatment of depression by CHSGS based on serum pharmacochemistry. The anti-depressant mechanism of CHSGS was further verified by proteomics and high-throughput data.

RESULTS

Through serum medicinal chemistry, we obtained 9 bioactive substances of CHSGS. These ingredients have good human oral bioavailability and are non-toxic. Based on liver ChIPseq data, CHSGS acts on 8 targets specifically localized in the liver, such as FGA, FGB, and FGG. The main contributors to CHSGS soothing the liver qi targets are hesperetin, nobiletin, ferulic acid, naringin and albiflorin. In addition, network pharmacology analysis identified 9 blood components of CHSGS that corresponded to 63 anti-depressant targets in the brain. Among them, nobiletin has the largest number of anti-depressant targets, followed by glycyrrhizic acid, ferulic acid, albiflorin and hesperetin. We also validated the anti-depressant mechanism of CHSGS based on hippocampal proteomics. CHSGS exerts anti-depressant effects on synaptic structure and neuronal function by targeting multiple synapse related proteins.

CONCLUSION

This study not only provides a theoretical basis for further expanding the clinical application of CHSGS, but also provides a series of potential lead compounds for the development of depression drugs.

Interpretable machine learning-driven biomarker identification and validation for Alzheimer's disease

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by limited effective treatments, underscoring the critical need for early detection and diagnosis to improve intervention outcomes. This study integrates various bioinformatics methodologies with interpretable machine learning to identify reliable biomarkers for AD diagnosis and treatment. By leveraging differentially expressed genes (DEGs) analysis, weighted gene co-expression network analysis (WGCNA), and construction of Protein-Protein Interaction (PPI) Networks, we meticulously analyzed the AD dataset from the GEO database to pinpoint Hub genes. Subsequently, various machine learning algorithms were employed to construct diagnostic models, which were then elucidated using SHapley Additive exPlanations (SHAP). To visualize our findings, we generated an insightful bioinformatics map of 10 Hub genes. We then conducted experimental validation on less-studied Hub genes, revealing significant differential mRNA expression of MYH9 and RHOQ in an AD cell model. Finally, we explored the biological significance of these two genes at the single-cell transcriptome level. This study not only introduces interactive SHAP panels for precise decision-making in AD but also offers novel insights into the identification of AD biomarkers through interpretable machine learning diagnostic models. Particularly, MYH9 has emerged as a promising new potential biomarker, pointing the way towards enhanced diagnostic accuracy and personalized therapeutic strategies for AD. Although the mRNA expression patterns of RHOQ are opposite in AD cell models and human brain tissue samples, the role of RHOQ in AD remains worthy of further exploration due to the diversity and complexity of biological molecular regulation.

Synergistic activity of nootropic herbs as potent therapeutics for Alzheimer's disease: A cheminformatics, pharmacokinetics, and system pharmacology approach

Background

Alzheimer's disease (AD) is a progressive neurodegenerative disorder, which subdues over 55 million people and finding a cure, still remains disenchanting. Indian medicinal herbs notably, Withania somnifera, Bacopa monnieri, Curcuma longa, and Clitoria ternatea are traditionally utilized for their memory-enhancing properties.

Objective

We computationally investigated the therapeutic potential of four nootropic herbs by uncovering the molecular mechanisms underlying their treatment for AD.

Methods

Cheminformatics, pharmacokinetics, and system pharmacology studies were carried out to predict the phytocompounds drug-like properties, protein targets, targets functional association and enrichment analysis. A comparative study was performed with phytocompounds and FDA-approved drugs. Investigation on the expression of protein targets in the hippocampus and entorhinal cortex of the AD brain was performed. Network was constructed to depict the interaction between phytocompounds, drugs, and molecular targets.

Results

Through comparative analysis, we found that the phytocompounds shared common targets with both FDA drugs and drugs under clinical trials. We identified potential active compounds notably, Withaferin A, Withanolide-D, Withanolide-E, Withanolide-G, and Humulene epoxide II, that can combat AD. Interestingly, the enzyme inhibition scores of the identified drugs were much higher than FDA-approved drugs. In addition, regulatory proteins such as AβPP, acetylcholinesterase, BACE1, and PTPN1 were the targets of 8, 16, 9, and 22 phytocompounds, respectively. Nonetheless, AR and CYP19A, were the primary targets of most phytocompounds.

Conclusions

Herbal medicines can synergistically stimulate multiple protein targets, rendering a holistic and integrative treatment, encouraging a promising avenue to treat AD.

Differential Expression of GABA Receptor-Related Genes in Alzheimer's Disease and the Positive Regulatory Role of Aerobic Exercise-From Genetic Screening to D-gal-induced AD-like Pathology Model

Alzheimer's disease (AD) is the most common neurodegenerative disorder. The neuropathology of AD appears in the hippocampus. The purpose of this work was to reveal key differentially expressed genes (DEGs) in the hippocampus of AD patients and healthy individuals. Furthermore, we established an in vivo AD-like model to validate and explore the effects of exercise on these risky genes. The datasets GSE36980 and GSE48350 were downloaded from the GEO database and visualized using R packages to obtain DEGs. Subsequently, the potential biological functions of these DEGs were predicted, PPI network interactions were screened for core genes, and Pearson correlation analysis was performed. Additionally, we determined the diagnostic value of core DEGs using ROC curves. Single-cell analysis was used to verify the cell type specificity of hub genes. Finally, we used RT-qPCR, immunohistochemistry, and immunofluorescence to validate the expression of core DEGs in model mice and to explore the beneficial mechanisms of exercise. A total of 13 differentially expressed genes (DEGs) associated with the development of AD were identified, comprising 11 down-regulated genes and 2 up-regulated genes. PPI network visualization acquired four down-regulated core DEGs with good diagnostic value. The findings from the in vivo study indicated that the mRNA expression of GABRA1, GABRG2, and SVOP decreased, and the astrocyte marker GFAP notably increased in AD mice. Surprisingly, exercise increased hippocampal GABRA1 and GABRG2 expression and decreased GFAP-positive intensity of GABRG1 localization, reducing expression of inflammatory markers TNF-α and IL-1β. In addition, exercise improved the spatial exploration ability but had little effect on the preference index in AD mice. Our data highlighted the mechanism by which exercise improves memory performance in AD patients by reducing astrocyte neurotoxicity inducing decreased hippocampal GABA receptor expression.

Network Pharmacology, Molecular Docking, and In Vitro Insights into the Potential of Mitragyna speciosa for Alzheimer's Disease

Mitragyna speciosa Korth. Havil (MS) has a traditional use in relieving pain, managing hypertension, treating cough, and diarrhea, and as a morphine substitute in addiction recovery. Its potential in addressing Alzheimer's disease (AD), a neurodegenerative condition with no effective treatments, is under investigation. This study aims to explore MS mechanisms in treating AD through network pharmacology, molecular docking, and in vitro studies. Using network pharmacology, we identified 19 MS components that may affect 60 AD-related targets. The compound-target network highlighted significant interactions among 60 nodes and 470 edges, with an average node degree of 15.7. The KEGG enrichment analysis revealed Alzheimer's disease (hsa05010) as a relevant pathway. We connected 20 targets to tau and β-amyloid proteins through gene expression data from the AlzData database. Docking studies demonstrated high binding affinities of MS compounds like acetylursolic acid, beta-sitosterol, isomitraphylline, and speciophylline to AD-related proteins, such as AKT1, GSK3B, NFκB1, and BACE1. In vitro studies showed that ethanolic (EE), distilled water (DWE), and pressurized hot water (PHWE) extracts of MS-treated 100 μM H2O2-induced SH-SY5Y cells significantly reduced oxidative damage. This research underscores the multi-component, multi-target, and multi-pathway effects of MS on AD, providing insights for future research and potential clinical applications.

Soluble TGF-β decoy receptor TGFBR3 exacerbates Alzheimer's disease pathology by modifying microglial function

Alzheimer's disease (AD) is a major cause of progressive dementia characterized by memory loss and progressive neurocognitive dysfunction. However, the molecular mechanisms are not fully understood. To elucidate the molecular mechanism contributing to AD, an integrated analytical workflow was deployed to identify pivotal regulatory target within the RNA-sequencing (RNA-seq) data of the temporal cortex from AD patients. Soluble transforming growth factor beta receptor 3 (sTGFBR3) was identified as a critical target in AD, which was abnormally elevated in AD patients and AD mouse models. We then demonstrated that sTGFBR3 deficiency restored spatial learning and memory deficits in amyloid precursor protein (APP)/PS1 and streptozotocin (STZ)-induced neuronal impairment mice after its expression was disrupted by a lentiviral (LV) vector expressing shRNA. Mechanistically, sTGFBR3 deficiency augments TGF-β signaling and suppressing the NF-κB pathway, thereby reduced the number of disease-associated microglia (DAMs), inhibited proinflammatory activity and increased the phagocytic activity of DAMs. Moreover, sTGFBR3 deficiency significantly mitigated acute neuroinflammation provoked by lipopolysaccharide (LPS) and alleviated neuronal dysfunction induced by STZ. Collectively, these results position sTGFBR3 as a promising candidate for therapeutic intervention in AD.

Flu-CED: A comparative transcriptomics database of influenza virus-infected human and animal models

BACKGROUND

The continuing emergence of influenza virus has highlighted the value of public databases and related bioinformatic analysis tools in investigating transcriptomic change caused by different influenza virus infections in human and animal models.

METHODS

We collected a large amount of transcriptome research data related to influenza virus-infected human and animal models in public databases (GEO and ArrayExpress), and extracted and integrated array and metadata. The gene expression matrix was generated through strictly quality control, balance, standardization, batch correction, and gene annotation. We then analyzed gene expression in different species, virus, cells/tissues or after antibody/vaccine treatment and imported sample metadata and gene expression datasets into the database.

RESULTS

Overall, maintaining careful processing and quality control, we collected 8064 samples from 103 independent datasets, and constructed a comparative transcriptomics database of influenza virus named the Flu-CED database (Influenza comparative expression database, https://flu.com-med.org.cn/). Using integrated and processed transcriptomic data, we established a user-friendly website for realizing the integration, online retrieval, visualization, and exploration of gene expression of influenza virus infection in different species and the biological functions involved in differential genes. Flu-CED can quickly query single and multi-gene expression profiles, combining different experimental conditions for comparative transcriptome analysis, identifying differentially expressed genes (DEGs) between comparison groups, and conveniently finding DEGs.

CONCLUSION

Flu-CED provides data resources and tools for analyzing gene expression in human and animal models infected with influenza virus that can deepen our understanding of the mechanisms underlying disease occurrence and development, and enable prediction of key genes or therapeutic targets that can be used for medical research.

Genetic analysis of cognitive preservation in the midwestern Amish reveals a novel locus on chromosome 2

INTRODUCTION

Alzheimer's disease (AD) remains a debilitating condition with limited treatments and additional therapeutic targets needed. Identifying AD protective genetic loci may identify new targets and accelerate identification of therapeutic treatments. We examined a founder population to identify loci associated with cognitive preservation into advanced age.

METHODS

Genome-wide association and linkage analyses were performed on 946 examined and sampled Amish individuals, aged 76-95, who were either cognitively unimpaired (CU) or impaired (CI).

RESULTS

A total of 12 single nucleotide polymorphisms (SNPs) demonstrated suggestive association (P ≤ 5 × 10-4) with cognitive preservation. Genetic linkage analyses identified > 100 significant (logarithm of the odds [LOD] ≥ 3.3) SNPs, some which overlapped with the association results. Only one locus on chromosome 2 retained significance across multiple analyses.

DISCUSSION

A novel significant result for cognitive preservation on chromosome 2 includes the genes LRRTM4 and CTNNA2. Additionally, the lead SNP, rs1402906, impacts the POU3F2 transcription factor binding affinity, which regulates LRRTM4 and CTNNA2.

HIGHLIGHTS

GWAS and linkage identified over 100 loci associated with cognitive preservation. One locus on Chromosome 2 retained significance over multiple analyses. Predicted TFBSs near rs1402906 regulate genes associated with neurocognition.

Gene interactions analysis of brain spatial transcriptome for Alzheimer's disease

Recent studies have explored the spatial transcriptomics patterns of Alzheimer's disease (AD) brain by spatial sequencing in mouse models, enabling the identification of unique genome-wide transcriptomic features associated with different spatial regions and pathological status. However, the dynamics of gene interactions that occur during amyloid-β accumulation remain largely unknown. In this study, we performed analyses on ligand-receptor communication, transcription factor regulatory network, and spot-specific network to reveal the dependence and the dynamics of gene associations/interactions on spatial regions and pathological status with mouse and human brains. We first used a spatial transcriptomics dataset of the App NL-G-F knock-in AD and wild-type mouse model. We revealed 17 ligand-receptor pairs with opposite tendencies throughout the amyloid-β accumulation process and showed the specific ligand-receptor interactions across the hippocampus layers at different extents of pathological changes. We then identified nerve function related transcription factors in the hippocampus and entorhinal cortex, as well as genes with different transcriptomic association degrees in AD versus wild-type mice. Finally, another independent spatial transcriptomics dataset from different AD mouse models and human single-nuclei RNA-seq data/AlzData database were used for validation. This is the first study to identify various gene associations throughout amyloid-β accumulation based on spatial transcriptomics, establishing the foundations to reveal advanced and in-depth AD etiology from a novel perspective based on the comprehensive analyses of gene interactions that are spatio-temporal dependent.

SON-dependent nuclear speckle rejuvenation alleviates proteinopathies

Current treatments targeting individual protein quality control have limited efficacy in alleviating proteinopathies, highlighting the prerequisite for a common upstream druggable target capable of global proteostasis modulation. Building on our prior research establishing nuclear speckles as a pivotal membrane-less organelle responsible for global proteostasis transcriptional control, we aim to alleviate proteinopathies through nuclear speckle rejuvenation. We identified pyrvinium pamoate as a small-molecule nuclear speckle rejuvenator that enhances protein quality control while suppressing YAP1 signaling via decreasing the surface/interfacial tension of nuclear speckle condensates through interaction with the intrinsically disordered region of nuclear speckle scaffold protein SON. In pre-clinical models, nanomolar pyrvinium pamoate alleviated retina degeneration and reduced tauopathy by promoting autophagy and ubiquitin-proteasome system in a SON-dependent manner without causing cellular stress. Aberrant nuclear speckle morphology, reduced protein quality control and increased YAP1 activity were also observed in human tauopathies. Our study uncovers novel therapeutic targets for tackling protein misfolding disorders within an expanded proteostasis framework encompassing nuclear speckles and YAP1.

Bulk-RNA and single-nuclei RNA seq analyses reveal the role of lactate metabolism-related genes in Alzheimer's disease

Dysfunctional lactate metabolism in the brain has been implicated in neuroinflammation, Aβ deposition, and cell disturbance, all of which play a significant role in the pathogenesis of Alzheimer's disease (AD). In this study, we aimed to investigate the lactate metabolism-related genes (LMRGs) in AD via an integrated bulk RNA and single-nuclei RNA sequencing (snRNA-seq) analysis, with a specific focus on microglia. We obtained 26 HC and 24 AD snRNA-seq samples originated from human prefrontal cortex in Gene Expression Omnibus (GEO) database and collected 873 LMRGs from three databases, namely MSigDB, The Human Protein Atlas and GeneCards. Bulk RNA was analyzed with LMRG characteristics in AD by using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), the protein-protein interaction (PPI), CytoHubba-MCC, Support Vector Machine (SVM) algorithms analyses. Then we conducted the Receiver Operating Characteristic (ROC) curve, correlation, and connection network analyses for biomarkers. Their differential expression validation was performed using AlzData database. The single-nuclei RNA analysis of microglia was applied to identify hub genes and pathways using cell-cell communication analysis and high dimensional Weighted Gene Co-Expression Network Analysis (hdWGCNA). Support Vector Machine (SVM) algorithm showed an AUC of 0.967, a sensitivity of 93.30% and a specificity of 100.00%. Our analysis identified biomarkers with LMRG characteristics, namely INSR, CDKL1, and PNISR. ROC analysis revealed that each of these biomarkers exhibited excellent diagnostic potential, as evidenced by their respective area under the curve (AUC) values: INSR (AUC: 0.679), CDKL1 (AUC: 0.788), and PNISR (AUC: 0.724). Correlation analysis showed that biomarkers exhibited a positive correlation with each other. Connection network illustrated their shared biological processes: aging, phosphorylation, metabolic process, and apoptosis. Cell-cell communication analysis revealed that GALECTIN signaling pathway was exclusively expressed in AD microglia, and only LGALS9 exhibited significant overexpression. HdWGCNA identified FTH1 as a hub gene enriched in ferroptosis and mineral absorption pathways within microglia. The roles of INSR, CDKL1, PNISR, LGALS9, and FTH1 should be taken into account to enhance our understanding of lactate metabolism in the context of AD.

Whole exome sequencing analyses identified novel genes for Alzheimer's disease and related dementia

INTRODUCTION

The heritability of Alzheimer's disease (AD) is estimated to be 58%-79%. However, known genes can only partially explain the heritability.

METHODS

Here, we conducted gene-based exome-wide association study (ExWAS) of rare variants and single-variant ExWAS of common variants, utilizing data of 54,569 clinically diagnosed/proxy AD and related dementia (ADRD) and 295,421 controls from the UK Biobank.

RESULTS

Gene-based ExWAS identified 11 genes predicting a higher ADRD risk, including five novel ones, namely FRMD8, DDX1, DNMT3L, MORC1, and TGM2, along with six previously reported ones, SORL1, GRN, PSEN1, ABCA7, GBA, and ADAM10. Single-variant ExWAS identified two ADRD-associated novel genes, SLCO1C1 and NDNF. The identified genes were predominantly enriched in amyloid-β process pathways, microglia, and brain regions like hippocampus. The druggability evidence suggests that DDX1, DNMT3L, TGM2, SLCO1C1, and NDNF could be effective drug targets.

DISCUSSION

Our study contributes to the current body of evidence on the genetic etiology of ADRD.

HIGHLIGHTS

Gene-based analyses of rare variants identified five novel genes for Alzheimer's disease and related dementia (ADRD), including FRMD8, DDX1, DNMT3L, MORC1, and TGM2. Single-variant analyses of common variants identified two novel genes for ADRD, including SLCO1C1 and NDNF. The identified genes were predominantly enriched in amyloid-β process pathways, microglia, and brain regions like hippocampus. DDX1, DNMT3L, TGM2, SLCO1C1, and NDNF could be effective drug targets.

Myeloid ectopic viral integration site 2 accelerates the progression of Alzheimer's disease

Amyloid plaques, a major pathological hallmark of Alzheimer's disease (AD), are caused by an imbalance between the amyloidogenic and non-amyloidogenic pathways of amyloid precursor protein (APP). BACE1 cleavage of APP is the rate-limiting step for amyloid-β production and plaque formation in AD. Although the alteration of BACE1 expression in AD has been investigated, the underlying mechanisms remain unknown. In this study, we determined MEIS2 was notably elevated in AD models and AD patients. Alterations in the expression of MEIS2 can modulate the levels of BACE1. MEIS2 downregulation improved the learning and memory retention of AD mice and decreased the number of amyloid plaques. MEIS2 binds to the BACE1 promoter, positively regulates BACE1 expression, and accelerates APP amyloid degradation in vitro. Therefore, our findings suggest that MEIS2 might be a critical transcription factor in AD, since it regulates BACE1 expression and accelerates BACE1-mediated APP amyloidogenic cleavage. MEIS2 is a promising early intervention target for AD treatment.

Integrated bioinformatic analysis of protein landscape in gingival crevicular fluid unveils sequential bioprocess in orthodontic tooth movement

BACKGROUND

The biological mechanisms driving orthodontic tooth movement (OTM) remain incompletely understood. Gingival crevicular fluid (GCF) is an important indicator of the periodontal bioprocess, providing valuable cues for probing the molecular mechanisms of OTM.

METHODS

A rigorous review of the clinical studies over the past decade was conducted after registering the protocol with PROSPERO and adhering to inclusion criteria comprising human subjects, specified force magnitudes and force application modes. The thorough screening investigated differentially expressed proteins (DEPs) in GCF associated with OTM. Protein-protein interaction (PPI) analysis was carried out using the STRING database, followed by further refinement through Cytoscape to isolate top hub proteins.

RESULTS

A comprehensive summarization of the OTM-related GCF studies was conducted, followed by an in-depth exploration of biomarkers within the GCF. We identified 13 DEPs, including ALP, IL-1β, IL-6, Leptin, MMP-1, MMP-3, MMP-8, MMP-9, PGE2, TGF-β1, TNF-α, OPG, RANKL. Bioinformatic analysis spotlighted the top 10 hub proteins and their interactions involved in OTM. Based on these findings, we have proposed a hypothetic diagram for the time-course bioprocess in OTM, which involves three phases containing sequential cellular and molecular components and their interplay network.

CONCLUSIONS

This work has further improved our understanding to the bioprocess of OTM, suggesting biomarkers as potential modulating targets to enhance OTM, mitigate adverse effects and support real-time monitoring and personalized orthodontic cycles.

Retinoic acid-induced protein 14 links mechanical forces to Hippo signaling

Cells sense and respond to various mechanical forces from the extracellular matrix primarily by modulating the actin cytoskeleton. Mechanical forces can be translated into biochemical signals in a process called mechanotransduction. Yes-associated protein (YAP) is an effector of Hippo signaling and a mediator of mechanotransduction, but how mechanical forces regulate Hippo signaling is still an open question. We propose that retinoic acid-induced protein 14 (RAI14) responds to mechanical forces and regulates Hippo signaling. RAI14 positively regulates the activity of YAP. RAI14 interacts with NF2, a key component of the Hippo pathway, and the interaction occurs on filamentous actin. When mechanical forces are kept low in cells, NF2 dissociates from RAI14 and filamentous actin, resulting in increased interactions with LATS1 and activation of the Hippo pathway. Clinical data show that tissue stiffness and expression of RAI14 and YAP are upregulated in tumor tissues and that RAI14 is strongly associated with adverse outcome in patients with gastric cancer. Our data suggest that RAI14 links mechanotransduction with Hippo signaling and mediates Hippo-related biological functions such as cancer progression.

Genome-wide meta-analysis identifies ancestry-specific loci for Alzheimer's disease

INTRODUCTION

Alzheimer's disease (AD) is a devastating neurological disease with complex genetic etiology. Yet most known loci have only identified from the late-onset type AD in populations of European ancestry.

METHODS

We performed a two-stage genome-wide association study (GWAS) of AD totaling 6878 Chinese and 63,926 European individuals.

RESULTS

In addition to the apolipoprotein E (APOE) locus, our GWAS of two independent Chinese samples uncovered three novel AD susceptibility loci (KIAA2013, SLC52A3, and TCN2) and a novel ancestry-specific variant within EGFR (rs1815157). More replicated variants were observed in the Chinese (31%) than in the European samples (15%). In combining genome-wide associations and functional annotations, EGFR and TCN2 were prioritized as two of the most biologically significant genes. Phenome-wide Mendelian randomization suggests that high mean corpuscular hemoglobin concentration might protect against AD.

DISCUSSION

The current study reveals novel AD susceptibility loci, emphasizes the importance of diverse populations in AD genetic research, and advances our understanding of disease etiology.

HIGHLIGHTS

Loci KIAA2013, SLC52A3, and TCN2 were associated with Alzheimer's disease (AD) in Chinese populations. rs1815157 within the EGFR locus was associated with AD in Chinese populations. The genetic architecture of AD varied between Chinese and European populations. EGFR and TCN2 were prioritized as two of the most biologically significant genes. High mean corpuscular hemoglobin concentrations might have protective effects against AD.

How do HCN channels play a part in Alzheimer's and Parkinson's disease?

Neurodegenerative diseases like Alzheimer's and Parkinson's disease (AD and PD) are well-known, yet their underlying causes remain unclear. Recent studies have suggested that disruption of ion channels contribute to their pathogenesis. Among these channels, the hyperpolarization-activated cyclic nucleotide-gated (HCN) channels, encoded by HCN1-4 genes, are of particular interest due to their role in generating hyperpolarization-activated current (Ih), which is crucial in various neural activities impacting memory and motor functions. A growing body of evidence underscores the pivotal role of HCN in Aβ generation, glial cell function, and ischemia-induced dementia; while HCN is expressed in various regions of the basal ganglia, modulating their functions and influencing motor disorders in PD; neuroinflammation triggered by microglial activation represents a shared pathological mechanism in both AD and PD, in which HCN also plays a significant part. This review delves into the neuronal functions governed by HCN, its roles in the aforementioned pathogenesis, its expression patterns in AD and PD, and discusses potential therapeutic drugs targeting HCN for the treatment of these diseases, aiming to offer a novel perspective and inspire future research endeavors.

Deciphering ApoE Genotype-Driven Proteomic and Lipidomic Alterations in Alzheimer's Disease Across Distinct Brain Regions

Alzheimer's disease (AD) is a neurodegenerative disease with a complex etiology influenced by confounding factors such as genetic polymorphisms, age, sex, and race. Traditionally, AD research has not prioritized these influences, resulting in dramatically skewed cohorts such as three times the number of Apolipoprotein E (APOE) ε4-allele carriers in AD relative to healthy cohorts. Thus, the resulting molecular changes in AD have previously been complicated by the influence of apolipoprotein E disparities. To explore how apolipoprotein E polymorphism influences AD progression, 62 post-mortem patients consisting of 33 AD and 29 controls (Ctrl) were studied to balance the number of ε4-allele carriers and facilitate a molecular comparison of the apolipoprotein E genotype. Lipid and protein perturbations were assessed across AD diagnosed brains compared to Ctrl brains, ε4 allele carriers (APOE4+ for those carrying 1 or 2 ε4s and APOE4- for non-ε4 carriers), and differences in ε3ε3 and ε3ε4 Ctrl brains across two brain regions (frontal cortex (FCX) and cerebellum (CBM)). The region-specific influences of apolipoprotein E on AD mechanisms showcased mitochondrial dysfunction and cell proteostasis at the core of AD pathophysiology in the post-mortem brains, indicating these two processes may be influenced by genotypic differences and brain morphology.

Integrative Analysis of the Age-Related Dysregulated Genes Reveals an Inflammation and Immunity-Associated Regulatory Network in Alzheimer's Disease

Alzheimer's disease (AD) is a neurodegenerative disease with a long incubation period. While extensive research has led to the construction of long non-coding RNA (lncRNA)-associated competing endogenous RNA (ceRNA) regulatory networks, which primarily derived from differential analyses between clinical AD patients and control individuals or mice, there remains a critical knowledge gap pertaining to the dynamic alterations in transcript expression profiles that occur with age, spanning from the pre-symptomatic stage to the onset of AD. In the present study, we examined the transcriptomic changes in AD model mice at three distinct stages: the unaffected (un-) stage, the pre-onset stage, and the late-onset stage, and identified 14, 57, and 99 differentially expressed mRNAs (DEmRs) in AD model mice at 3, 6, and 12 months, respectively. Among these, we pinpointed 16 mRNAs closely associated with inflammation and immunity and excavated their lncRNA-mRNA regulatory network based on a comprehensive analysis. Notably, our preliminary analysis suggested that four lncRNAs (NONMMUT102943, ENSMUST00000160309, NONMMUT083044, and NONMMUT126468), eight miRNAs (miR-34a-5p, miR-22-5p, miR-302a/b-3p, miR-340-5p, miR-376a/b-5p, and miR-487b-5p), and four mRNAs (C1qa, Cd68, Ctss, and Slc11a1) may play pivotal roles in orchestrating immune and inflammatory responses during the early stages of AD. Our study has unveiled age-related AD risk genes, and provided an analytical framework for constructing lncRNA-mRNA networks using time series data and correlation analysis. Most notably, we have successfully constructed a comprehensive regulatory ceRNA network comprising genes intricately linked to inflammatory and immune functions in AD.

Microglial AKAP8L: a key mediator in diabetes-associated cognitive impairment via autophagy inhibition and neuroinflammation triggering

BACKGROUND

Diabetes-associated cognitive impairment (DACI) poses a significant challenge to the self-management of diabetes, markedly elevating the risk of adverse complications. A burgeoning body of evidence implicates microglia as a central player in the pathogenesis of DACI.

METHODS

We utilized proteomics to identify potential biomarkers in high glucose (HG)-treated microglia, followed by gene knockdown techniques for mechanistic validation in vitro and in vivo.

RESULTS

Our proteomic analysis identified a significant upregulation of AKAP8L in HG-treated microglia, with concurrent dysregulation of autophagy and inflammation markers, making AKAP8L a novel biomarker of interest. Notably, the accumulation of AKAP8L was specific to HG-treated microglia, with no observed changes in co-cultured astrocytes or neurons, a pattern that was mirrored in streptozotocin (STZ)-induced diabetic mice. Further studies through co-immunoprecipitation and proximity ligation assay indicated that the elevated AKAP8L in HG-treated microglial cells interacts with the mTORC1. In the STZ mouse model, we demonstrated that both AKAP8L knockdown and rapamycin treatment significantly enhanced cognitive function, as evidenced by improved performance in the Morris water maze, and reduced microglial activation. Moreover, these interventions effectively suppressed mTORC1 signaling, normalized autophagic flux, mitigated neuroinflammation, and decreased pyroptosis.

CONCLUSIONS

Our findings highlight the critical role of AKAP8L in the development of DACI. By interacting with mTORC1, AKAP8L appears to obstruct autophagic processes and initiate a cascade of neuroinflammatory responses. The identification of AKAP8L as a key mediator in DACI opens up new avenues for potential therapeutic interventions.

Selenoprotein W modulates tau homeostasis in an Alzheimer's disease mouse model

Lower selenium levels are observed in Alzheimer's disease (AD) brains, while supplementation shows multiple benefits. Selenoprotein W (SELENOW) is sensitive to selenium changes and binds to tau, reducing tau accumulation. However, whether restoration of SELENOW has any protective effect in AD models and its underlying mechanism remain unknown. Here, we confirm the association between SELENOW downregulation and tau pathology, revealing SELENOW's role in promoting tau degradation through the ubiquitin‒proteasome system. SELENOW competes with Hsp70 to interact with tau, promoting its ubiquitination and inhibiting tau acetylation at K281. SELENOW deficiency leads to synaptic defects, tau dysregulation and impaired long-term potentiation, resulting in memory deficits in mice. Conversely, SELENOW overexpression in the triple transgenic AD mice ameliorates memory impairment and tau-related pathologies, featuring decreased 4-repeat tau isoform, phosphorylation at Ser396 and Ser404, neurofibrillary tangles and neuroinflammation. Thus, SELENOW contributes to the regulation of tau homeostasis and synaptic maintenance, implicating its potential role in AD.

The active components of Erzhi wan and their anti-Alzheimer's disease mechanisms determined by an integrative approach of network pharmacology, bioinformatics, molecular docking, and molecular dynamics simulation

Erzhi Wan (EZW), a classic Traditional Chinese Medicine formula, has shown promise as a potential therapeutic option for Alzheimer's disease (AD), yet its mechanism remains elusive. Herein, we employed an integrative in-silico approach to investigate the active components and their mechanisms against AD. We screened four active components with blood-brain barrier permeabilities from TCMSP, along with 307 corresponding targets predicted by SwissTargetPrediction, PharmMapper, and TCMbank websites. Then, we retrieved 2260 AD-related targets from Genecards, OMIM, and NCBI databases. Furthermore, we constructed the protein-protein interaction (PPI) network of the intersected targets via the STRING database and performed the GO and KEGG enrichment analyses using the "clusterProfiler" R package. The results showed that the intersected targets were intimately related to the p53/PI3K/Akt signaling pathway, serotonergic synapse, and response to oxygen level. Subsequently, 25 core targets were found differentially expressed in brain regions by bioinformatics analyses of GEO datasets of clinical samples from the Alzdata database. The binding sites and stabilities between the active components and the core targets were investigated by the molecular docking approach using Autodock 4.2.6 software, followed by pocket detection and druggability assessment via the DoGSiteScorer server. The results showed that acacetin, β-sitosterol, and 3-O-acetyldammarenediol-II strongly interacted with the druggable pockets of AR, CASP8, POLB, and PREP. Eventually, the docking results were further cross-referenced with the literature research and validated by 100 ns of molecular dynamics simulations using GROMACS software. Binding free energies were calculated via MM/PBSA strategy combined with interaction entropy. The simulation results indicated stable bindings between four docking pairs including acacetin-AR, acacetin-CASP8, β-sitosterol-POLB, and 3-O-acetyldammarenediol-II-PREP. Overall, our study demonstrated a theoretical basis for how three active components of EZW confer efficacy against AD. It provides a promising reference for subsequent research regarding drug discoveries and clinical applications.

Identification and experimental validation of m7G-related molecular subtypes, immune signature, and feature genes in Alzheimer's disease

Background

Studies has shown that N7-methylguanosine (m7G) modification plays a critical role in neurological diseases. However, the exact role and association of m7G with the immune microenvironment in Alzheimer's disease (AD) remain largely unknown and unexplored.

Methods

The study datasets comprised 667 AD samples and 503 control samples selected from eight datasets in the Gene Expression Omnibus database; m7G regulator genes were obtained from previous literature. The AD subtypes were identified by consensus clustering analysis according to m7G regulator genes. The clinical characteristics, immune infiltration, and biological functions of the AD subgroups were evaluated. A combination of different types of machine-learning algorithms were used for the identification of AD genes. We also assessed and validated the diagnostic performance of the identified genes via qRT-PCR, immunofluorescence, and immunohistochemical analyses.

Results

Two AD distinct subgroups, namely cluster A and cluster B, were identified. Cluster A had poor pathological progression and immune infiltration, representing a high-risk subgroup for AD. The differentially expressed genes of cluster A were enriched in immune and synapse-related pathways, suggesting that these genes probably contribute to AD progression by regulating immune-related pathways. Additionally, five feature genes (AEBP1, CARTPT, AK5, NPTX2, and COPG2IT1) were identified, which were used to construct a nomogram model with good ability to predict AD. The animal experiment analyses further confirmed that these feature genes were associated with AD development.

Conclusion

To the best of our knowledge, this is the first study to reveal close correlations among m7G RNA modification, the immune microenvironment, and the pathogenesis of AD. We also identified five feature genes associated with AD, further contributing to our understanding of the underlying mechanisms and potential therapeutic targets for AD.

Neuropathological stage-dependent proteome mapping of the olfactory tract in Alzheimer's disease: From early olfactory-related omics signatures to computational repurposing of drug candidates

Alzheimer's disease (AD) is the most common form of dementia, characterized by an early olfactory dysfunction, progressive memory loss, and behavioral deterioration. Albeit substantial progress has been made in characterizing AD-associated molecular and cellular events, there is an unmet clinical need for new therapies. In this study, olfactory tract proteotyping performed in controls and AD subjects (n = 17/group) showed a Braak stage-dependent proteostatic impairment accompanied by the progressive modulation of amyloid precursor protein and tau functional interactomes. To implement a computational repurposing of drug candidates with the capacity to reverse early AD-related olfactory omics signatures (OMSs), we generated a consensual OMSs database compiling differential omics datasets obtained by mass-spectrometry or RNA-sequencing derived from initial AD across the olfactory axis. Using the Connectivity Map-based drug repurposing approach, PKC, EGFR, Aurora kinase, Glycogen synthase kinase, and CDK inhibitors were the top pharmacologic classes capable to restore multiple OMSs, whereas compounds with targeted activity to inhibit PI3K, Insulin-like growth factor 1 (IGF-1), microtubules, and Polo-like kinase (PLK) represented a family of drugs with detrimental potential to induce olfactory AD-associated gene expression changes. To validate the potential therapeutic effects of the proposed drugs, in vitro assays were performed. These validation experiments revealed that pretreatment of human neuron-like SH-SY5Y cells with the EGFR inhibitor AG-1478 showed a neuroprotective effect against hydrogen peroxide-induced damage while the pretreatment with the Aurora kinase inhibitor Reversine reduced amyloid-beta (Aβ)-induced neurotoxicity. Taken together, our data pointed out that OMSs may be useful as substrates for drug repurposing to propose novel neuroprotective treatments against AD.

Comprehensive Overview of Alzheimer's Disease: Etiological Insights and Degradation Strategies

Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder and affects millions of individuals globally. AD is associated with cognitive decline and memory loss that worsens with aging. A statistical report using U.S. data on AD estimates that approximately 6.9 million individuals suffer from AD, a number projected to surge to 13.8 million by 2060. Thus, there is a critical imperative to pinpoint and address AD and its hallmark tau protein aggregation early to prevent and manage its debilitating effects. Amyloid-β and tau proteins are primarily associated with the formation of plaques and neurofibril tangles in the brain. Current research efforts focus on degrading amyloid-β and tau or inhibiting their synthesis, particularly targeting APP processing and tau hyperphosphorylation, aiming to develop effective clinical interventions. However, navigating this intricate landscape requires ongoing studies and clinical trials to develop treatments that truly make a difference. Genome-wide association studies (GWASs) across various cohorts identified 40 loci and over 300 genes associated with AD. Despite this wealth of genetic data, much remains to be understood about the functions of these genes and their role in the disease process, prompting continued investigation. By delving deeper into these genetic associations, novel targets such as kinases, proteases, cytokines, and degradation pathways, offer new directions for drug discovery and therapeutic intervention in AD. This review delves into the intricate biological pathways disrupted in AD and identifies how genetic variations within these pathways could serve as potential targets for drug discovery and treatment strategies. Through a comprehensive understanding of the molecular underpinnings of AD, researchers aim to pave the way for more effective therapies that can alleviate the burden of this devastating disease.

IPAD-DB: a manually curated database for experimentally verified inhibitors of proteins associated with Alzheimer's disease

Alzheimer's disease (AD) is a universal neurodegenerative disease with the feature of progressive dementia. Currently, there are only seven Food and Drug Administration-approved drugs for the treatment of AD, which merely offer temporary relief from symptom deterioration without reversing the underlying disease process. The identification of inhibitors capable of interacting with proteins associated with AD plays a pivotal role in the development of effective therapeutic interventions. However, a vast number of such inhibitors are dispersed throughout numerous published articles, rendering it inconvenient for researchers to explore potential drug candidates for AD. In light of this, we have manually compiled inhibitors targeting proteins associated with AD and constructed a comprehensive database known as IPAD-DB (Inhibitors of Proteins associated with Alzheimer's Disease Database). The curated inhibitors within this database encompass a diverse range of compounds, including natural compounds, synthetic compounds, drugs, natural extracts and nano-inhibitors. To date, the database has compiled >4800 entries, each representing a correspondent relationship between an inhibitor and its target protein. IPAD-DB offers a user-friendly interface that facilitates browsing, searching and downloading of its records. We firmly believe that IPAD-DB represents a valuable resource for screening potential AD drug candidates and investigating the underlying mechanisms of this debilitating disease. Access to IPAD-DB is freely available at http://www.lamee.cn/ipad-db/ and is compatible with all major web browsers. Database URL: http://www.lamee.cn/ipad-db/.

Single-cell RNA-seq reveals the role of YAP1 in prefrontal cortex microglia in depression

BACKGROUND

Depression is a complex mood disorder whose pathogenesis involves multiple cell types and molecular pathways. The prefrontal cortex, as a key brain region for emotional regulation, plays a crucial role in depression. Microglia, as immune cells of the central nervous system, have been closely linked to the development and progression of depression through their dysfunctional states. This study aims to utilize single-cell RNA-seq technology to reveal the pathogenic mechanism of YAP1 in prefrontal cortex microglia in depression.

METHODS

Firstly, we performed cell type identification and differential analysis on normal and depressed prefrontal cortex tissues by mining single-cell RNA-seq datasets from public databases. Focusing on microglia, we conducted sub-clustering, differential gene KEGG enrichment analysis, intercellular interaction analysis, and pseudotime analysis. Additionally, a cross-species analysis was performed to explore the similarities and differences between human and rhesus monkey prefrontal cortex microglia. To validate our findings, we combined bulk RNA-Seq and WGCNA analysis to reveal key genes associated with depression and verified the relationship between YAP1 and depression using clinical samples.

RESULTS

Our study found significant changes in the proportion and transcriptional profiles of microglia in depressed prefrontal cortex tissues. Further analysis revealed multiple subpopulations of microglia and their associated differential genes and signaling pathways related to depression. YAP1 was identified as a key molecule contributing to the development of depression and was significantly elevated in depression patients. Moreover, the expression level of YAP1 was positively correlated with HAMD scores, suggesting its potential as a biomarker for predicting the onset of depression.

CONCLUSION

This study utilized single-cell RNA-seq technology to reveal the pathogenic mechanism of YAP1 in prefrontal cortex microglia in depression, providing a new perspective for a deeper understanding of the pathophysiology of depression and identifying potential targets for developing novel treatment strategies.

Analysis and experimental validation of necroptosis-related molecular classification, immune signature and feature genes in Alzheimer's disease

Necroptosis, a programmed cell death pathway, has been demonstrated to be activated in Alzheimer's disease (AD). However, the precise role of necroptosis and its correlation with immune cell infiltration in AD remains unclear. In this study, we conducted non-negative matrix factorization clustering analysis to identify three subtypes of AD based on necroptosis-relevant genes. Notably, these subtypes exhibited varying necroptosis scores, clinical characteristics and immune infiltration signatures. Cluster B, characterized by high necroptosis scores, showed higher immune cell infiltration and was associated with a more severe pathology, potentially representing a high-risk subgroup. To identify potential biomarkers for AD within cluster B, we employed two machine learning algorithms: the least absolute shrinkage and selection operator regression and Random Forest. Subsequently, we identified eight feature genes (CARTPT, KLHL35, NRN1, NT5DC3, PCYOX1L, RHOQ, SLC6A12, and SLC38A2) that were utilized to develop a diagnosis model with remarkable predictive capacity for AD. Moreover, we conducted validation using bulk RNA-seq, single-nucleus RNA-seq, and in vivo experiments to confirm the expression of these feature genes. In summary, our study identified a novel necroptosis-related subtype of AD and eight diagnostic biomarkers, explored the roles of necroptosis in AD progression and shed new light for the clinical diagnosis and treatment of this disease.

YAP in development and disease: Navigating the regulatory landscape from retina to brain

The distinctive role of Yes-associated protein (YAP) in the nervous system has attracted widespread attention. This comprehensive review strategically uses the retina as a vantage point, embarking on an extensive exploration of YAP's multifaceted impact from the retina to the brain in development and pathology. Initially, we explore the crucial roles of YAP in embryonic and cerebral development. Our focus then shifts to retinal development, examining in detail YAP's regulatory influence on the development of retinal pigment epithelium (RPE) and retinal progenitor cells (RPCs), and its significant effects on the hierarchical structure and functionality of the retina. We also investigate the essential contributions of YAP in maintaining retinal homeostasis, highlighting its precise regulation of retinal cell proliferation and survival. In terms of retinal-related diseases, we explore the epigenetic connections and pathophysiological regulation of YAP in diabetic retinopathy (DR), glaucoma, and proliferative vitreoretinopathy (PVR). Lastly, we broaden our exploration from the retina to the brain, emphasizing the research paradigm of "retina: a window to the brain." Special focus is given to the emerging studies on YAP in brain disorders such as Alzheimer's disease (AD) and Parkinson's disease (PD), underlining its potential therapeutic value in neurodegenerative disorders and neuroinflammation.

AβPP-tau-HAS1 axis trigger HAS1-related nuclear speckles and gene transcription in Alzheimer's disease

As the backbone of the extracellular matrix (ECM) and the perineuronal nets (PNNs), hyaluronic acid (HA) provides binding sites for proteoglycans and other ECM components. Although the pivotal of HA has been recognized in Alzheimer's disease (AD), few studies have addressed the relationship between AD pathology and HA synthases (HASs). Here, HASs in different regions of AD brains were screened in transcriptomic database and validated in AβPP/PS1 mice. We found that HAS1 was distributed along the axon and nucleus. Its transcripts were reduced in AD patients and AβPP/PS1 mice. Phosphorylated tau (p-tau) mediates AβPP-induced cytosolic-nuclear translocation of HAS1, and negatively regulated the stability, monoubiquitination, and oligomerization of HAS1, thus reduced the synthesis and release of HA. Furthermore, non-ubiquitinated HAS1 mutant lost its enzyme activity, and translocated from the cytosol into the nucleus, forming nuclear speckles (NS). Unlike the splicing-related NS, less than 1 % of the non-ubiquitinated HAS1 co-localized with SRRM2, proving the regulatory role of HAS1 in gene transcription, indirectly. Thus, differentially expressed genes (DEGs) related to both non-ubiquitinated HAS1 mutant and AD were screened using transcriptomic datasets. Thirty-nine DEGs were identified, with 64.1 % (25/39) showing consistent results in both datasets. Together, we unearthed an important function of the AβPP-p-tau-HAS1 axis in microenvironment remodeling and gene transcription during AD progression, involving the ubiquitin-proteasome, lysosome, and NS systems.

A positive feedback inhibition of isocitrate dehydrogenase 3β on paired-box gene 6 promotes Alzheimer-like pathology

Impaired brain glucose metabolism is an early indicator of Alzheimer's disease (AD); however, the fundamental mechanism is unknown. In this study, we found a substantial decline in isocitrate dehydrogenase 3β (IDH3β) levels, a critical tricarboxylic acid cycle enzyme, in AD patients and AD-transgenic mice's brains. Further investigations demonstrated that the knockdown of IDH3β induced oxidation-phosphorylation uncoupling, leading to reduced energy metabolism and lactate accumulation. The resulting increased lactate, a source of lactyl, was found to promote histone lactylation, thereby enhancing the expression of paired-box gene 6 (PAX6). As an inhibitory transcription factor of IDH3β, the elevated PAX6 in turn inhibited the expression of IDH3β, leading to tau hyperphosphorylation, synapse impairment, and learning and memory deficits resembling those seen in AD. In AD-transgenic mice, upregulating IDH3β and downregulating PAX6 were found to improve cognitive functioning and reverse AD-like pathologies. Collectively, our data suggest that impaired oxidative phosphorylation accelerates AD progression via a positive feedback inhibition loop of IDH3β-lactate-PAX6-IDH3β. Breaking this loop by upregulating IDH3β or downregulating PAX6 attenuates AD neurodegeneration and cognitive impairments.