Alzheimer's Disease Brain Research Articles

Gene Expression Signatures of Immaturity, Decreased pH, and Neural Hyperexcitation in the Hippocampus of Alzheimer's Disease Model Mice.

Alzheimer's disease (AD) is a leading cause of dementia, with increasing prevalence. Mutations in genes like MAPT, PSEN1, and PSEN2 are risk factors, leading to the development of several AD model mice. Recent hypotheses suggest AD brain pathology involves abnormal neurodevelopment, decreased pH, and neural hyperexcitation. However, it remains unclear to what extent these pathologies are reflected in the gene expression changes of AD models. This study aims to compare gene expression patterns in the brains of multiple AD model mice with those related to these three factors, evaluating the extent of overlap. We conducted a comprehensive search of public databases, collecting 20 gene expression datasets from the hippocampus of AD model mice. These datasets were compared with gene sets related to hippocampal maturation, brain pH, and neural hyperexcitation to statistically assess overlap. Pathway enrichment analysis explored the biological relevance of these gene expression changes. The extent of overlap with maturity-, pH-, and hyperexcitation-associated genes varied across AD models, showing significant correlations between lower maturity, lower pH, and increased neural hyperexcitation. In MAPT mutant and APP+PSEN1 homozygous transgenic mice, these signatures became more pronounced with age. Pathway meta-analysis revealed that genes associated with maturity, pH, and hyperexcitation in AD models are involved in synaptic and channel functions, as well as inflammatory responses, consistent with previous studies. These findings suggest that pathophysiological changes related to maturity, pH, and neural hyperexcitation play varying roles across individual AD model mice. Our recent study found a negative correlation between disease progression and actual pH levels in human AD patients. Considering the results presented in this study, maturity and neural hyperexcitation, which are correlated with pH, may also be linked to disease progression. Thus, gene expression changes in these factors could be useful markers for assessing the pathology in AD models.

Cellular senescence induced by cholesterol accumulation is mediated by lysosomal ABCA1 in APOE4 and AD

BackgroundCellular senescence, a hallmark of aging, has been implicated in Alzheimer’s disease (AD) pathogenesis. Cholesterol accumulation is known to drive cellular senescence; however, its underlying mechanisms are not fully understood. ATP-binding cassette transporter A1 (ABCA1) plays an important role in cholesterol homeostasis, and its expression and trafficking are altered in APOE4 and AD models. However, the role of ABCA1 trafficking in cellular senescence associated with APOE4 and AD remains unclear.MethodsWe examined the association between cellular senescence and ABCA1 expression in human postmortem brain samples using transcriptomic, histological, and biochemical analyses. Unbiased proteomic screening was performed to identify the proteins that mediate cellular ABCA1 trafficking. We created ABCA1 knock out cell lines and mouse models to validate the role of ABCA1 in cholesterol-induced mTORC1 activation and senescence. Additionally, we used APOE4-TR mice and induced pluripotent stem cell (iPSC) models to explore cholesterol-ABCA1-senescence pathways.ResultsTranscriptomic profiling of the human dorsolateral prefrontal cortex from the Religious Order Study/Memory Aging Project (ROSMAP) cohort revealed the upregulation of cellular senescence transcriptome signatures in AD, which correlated with ABCA1 expression and oxysterol levels. Immunofluorescence and immunoblotting analyses confirmed increased lipofuscin-stained lipids and ABCA1 expression in AD brains and an association with mTOR phosphorylation. Discovery proteomics identified caveolin-1, a sensor of cellular cholesterol accumulation, as a key promoter of ABCA1 endolysosomal trafficking. Greater caveolin-1 expression was observed in APOE4-TR mouse models and AD human brains. Oxysterol induced mTORC1 activation and senescence were regulated by ABCA1 lysosomal trapping. Treatment of APOE4-TR mice with cyclodextrin reduced brain oxysterol levels, ABCA1 lysosome trapping, mTORC1 activation, and attenuated senescence and neuroinflammation markers. In human iPSC-derived astrocytes, the reduction of cholesterol by cyclodextrin attenuated inflammatory responses.ConclusionsOxysterol accumulation in APOE4 and AD induced ABCA1 and caveolin-1 expression, contributing to lysosomal dysfunction and increased cellular senescence markers. This study provides novel insights into how cholesterol metabolism accelerates features of brain cellular senescence pathway and identifies therapeutic targets to mitigate these processes.

Visualization Analysis of Tau Protein in the Brain of Alzheimer's Disease: A Scoping Literature Review.

This study analyzed the current status, hotspots, and development trends of tau protein research in Alzheimer's disease (AD) and to provide a reference for future research in this field. CiteSpace software was used to scientifically measure and visualize the relevant articles in the field of tau protein in AD brain from the Web of Science Core Collection database from 1991 to 2022. A total of 568 articles were included, with an exponential growth in the number of articles published from 1991 to 2022, with an average of 17.8 articles per year. The United States is the most productive country in this field, accounting for 46.83% of the total literature. The New York State Institute for Basic Research is the most productive organization, followed by MRC Laboratory Molecular Biology in the UK. The most influential are Kings College London, University of California, San Francisco, and others. Iqbal K is the most productive author. The most productive journal is the Journal of Biological Chemistry, and the journal with the highest impact factor is Acta Neuropathologica. The journal with the highest cumulative impact factor is Nature. The research hotspots mainly focus on the formation and degradation mechanisms of tau protein paired helical filaments and abnormal phosphorylation, AD neurofibrillary tangles and degenerative changes, and model research, mainly involving tau protein abnormal phosphorylation, phosphorylation sites, dephosphorylation, aggregate helical filaments, neurofibrillary tangles mouse models. The research frontier trends mainly focus on the study of pathological changes in tau protein, intervention mechanisms, and the development and practice of clinical therapeutic drugs.

Contributions of Genetic Variation in Astrocytes to Cell and Molecular Mechanisms of Risk and Resilience to Late-Onset Alzheimer's Disease.

Reactive astrocytes are associated with Alzheimer's disease (AD), and several AD genetic risk variants are associated with genes highly expressed in astrocytes. However, the contribution of genetic risk within astrocytes to cellular processes relevant to the pathogenesis of AD remains ill-defined. Here, we present a resource for studying AD genetic risk in astrocytes using a large collection of induced pluripotent stem cell (iPSC) lines from deeply phenotyped individuals with a range of neuropathological and cognitive outcomes. IPSC lines from 44 individuals were differentiated into astrocytes followed by unbiased molecular profiling using RNA sequencing and tandem mass tag-mass spectrometry. We demonstrate the utility of this resource in examining gene- and pathway-level associations with clinical and neuropathological traits, as well as in analyzing genetic risk and resilience factors through parallel analyses of iPSC-astrocytes and brain tissue from the same individuals. Our analyses reveal that genes and pathways altered in iPSC-derived astrocytes from individuals with AD are concordantly dysregulated in AD brain tissue. This includes increased levels of prefoldin proteins, extracellular matrix factors, COPI-mediated trafficking components and reduced levels of proteins involved in cellular respiration and fatty acid oxidation. Additionally, iPSC-derived astrocytes from individuals resilient to high AD neuropathology show elevated basal levels of interferon response proteins and increased secretion of interferon gamma. Correspondingly, higher polygenic risk scores for AD are associated with lower levels of interferon response proteins in astrocytes. This study establishes an experimental system that integrates genetic information with a matched iPSC lines and brain tissue data from a large cohort of individuals to identify genetic contributions to molecular pathways affecting AD risk and resilience.

MicroRNA-based recent research developments in Alzheimer's disease.

Alzheimer's disease (AD) is a chronic neurodegenerative disorder that is characterized by memory and physical impairment in aged individuals. microRNAs (miRNAs) are small, single-stranded noncoding RNAs that induce translational repression by binding to the 3' UTR of a target mRNA. miRNAs play a crucial role in neurological activity by mediating cellular proliferation, synaptic plasticity, apoptosis and more. Ongoing research in patents and clinical trials have called attention to promising miRNAs as biomarkers and therapeutics in AD. Recent research has shown that miRNAs are aberrantly expressed in AD brain, blood, cerebrospinal fluid and serum. Attenuated miRNA expressions have diagnostic potential in AD by interacting with amyloid-β synthesis, phosphorylated tau, and neurofibrillary tangles. In this study, miRNA-29a, miRNA-125b, miRNA-34a, miRNA-146a, and miRNA-155 have shown promise as potential biomarker candidates for AD. Improving cognitive symptoms can be traced to restoring the endogenous miRNA activity by synthesizing miRNA mimics and miRNA antisense oligonucleotides. miRNA-483-5p, miRNA-188-5p, miRNA-219, miRNA135a/5p, miRNA-23/23b-3p, miRNA-124, and miRNA-455-3p are growing therapeutics for AD. However, miRNA-based therapeutics struggle outside of preclinical testing. miRNA-107, miRNA-206, miRNA-30/7, and miRNA-142-3p face bottlenecks in clinical trials due to a lack of experimental design, transparency and volunteer size. Patenting recent miRNA-based developments demonstrates the commitment in identifying a new biomarker and/or therapeutic for AD.

Grey-Matter Structure Markers of Alzheimer's Disease, Alzheimer's Conversion, Functioning and Cognition: A Meta-Analysis Across 11 Cohorts.

Alzheimer's disease (AD) brain markers are needed to select people with early-stage AD for clinical trials and as quantitative endpoint measures in trials. Using 10 clinical cohorts (N = 9140) and the community volunteer UK Biobank (N = 37,664) we performed region of interest (ROI) and vertex-wise analyses of grey-matter structure (thickness, surface area and volume). We identified 94 trait-ROI significant associations, and 307 distinct cluster of vertex-associations, which partly overlap the ROI associations. For AD versus controls, smaller hippocampus, amygdala and of the medial temporal lobe (fusiform and parahippocampal gyri) was confirmed and the vertex-wise results provided unprecedented localisation of some of the associated region. We replicated AD associated differences in several subcortical (putamen, accumbens) and cortical regions (inferior parietal, postcentral, middle temporal, transverse temporal, inferior temporal, paracentral, superior frontal). These grey-matter regions and their relative effect sizes can help refine our understanding of the brain regions that may drive or precede the widespread brain atrophy observed in AD. An AD grey-matter score evaluated in independent cohorts was significantly associated with cognition, MCI status, AD conversion (progression from cognitively normal or MCI to AD), genetic risk, and tau concentration in individuals with none or mild cognitive impairments (AUC in 0.54-0.70, p-value < 5e-4). In addition, some of the grey-matter regions associated with cognitive impairment, progression to AD ('conversion'), and cognition/functional scores were also associated with AD, which sheds light on the grey-matter markers of disease stages, and their relationship with cognitive or functional impairment. Our multi-cohort approach provides robust and fine-grained maps the grey-matter structures associated with AD, symptoms, and progression, and calls for even larger initiatives to unveil the full complexity of grey-matter structure in AD.

Neuroimaging Predictors of Cognitive Resilience against Alzheimer's Disease Pathology.

Some individuals demonstrate greater cognitive resilience-the ability to maintain cognitive performance despite adverse brain-related changes-through as yet unknown mechanisms. We examined whether cortical thickness in several brain regions confers resilience against cognitive decline in amyloid-positive adults by moderating the effects of thinner cortex in Alzheimer's disease (AD)-related brain regions and of higher levels of tau. Amyloid-positive participants from the Alzheimer's Disease Neuroimaging Initiative with relevant imaging data were included (n = 160, observations = 473). Risk factors included an AD brain signature and cerebrospinal fluid phosphorylated tau. Cognitive measures were episodic memory and executive function composites. Mixed effects models tested whether region-specific cortical thickness moderated relationships between markers of AD risk and memory or executive function. Cross-sectionally, thicker cortex in 8 regions minimized the negative impact of thinner cortex/smaller volume in AD signature regions on executive function. Longitudinally, higher baseline thickness in a composite of these 8 regions predicted less memory decline (p = 0.007) and weakened negative effects of phosphorylated tau on memory decline (p = 0.014), independent of baseline cognition and risk markers. We identified 8 cortical regions that appear to confer cognitive resilience cross-sectionally and longitudinally in the face of established indicators of AD pathology. Brain regions fostering executive function may enable compensation in later memory performance and confer cognitive resilience against effects of phosphorylated tau and AD-related cortical changes. These "resilience" regions suggest the value of focusing on brain regions beyond only those determined to be AD-related and may partially explain variability in AD-related cognitive trajectories. ANN NEUROL 2025.

Compositional brain scores capture Alzheimer's disease-specific structural brain patterns along the disease continuum.

Traditional multivariate methods for neuroimaging studies overlook the interdependent relationship between brain features. This study addresses this gap by analyzing relative brain volumetric patterns to capture how Alzheimer's disease (AD) and genetics influence brain structure along the disease continuum. This study analyzed data from participants across the AD continuum from the Alzheimer's and Families (ALFA) and Alzheimer's Disease Neuroimaging Initiative (ADNI) studies. Compositional data analysis (CoDA) was exploited to examine relative brain volumetric variations that (1) were linked to different AD stages compared to cognitively unimpaired amyloid-β-negative (CU A-) individuals and (2) varied by AD genetic risk. Disease stage-specific compositional brain scores were identified, differentiating CU A- individuals from those in more advanced stages. Genetic risk-stratified models revealed a broader genetic landscape affecting brain morphology in AD, beyond the well-known apolipoprotein E ε4 allele. CoDA emerges as an alternative multivariate framework to deepen understanding of AD-related structural changes and support targeted interventions for those at higher genetic risk. Compositional data analysis (CoDA) revealed the relative variation of brain region volumes, captured in compositional brain scores, capable of discerning between cognitively unimpaired amyloid-β-negative individuals and subjects within other disease-stage groups along the Alzheimer's disease (AD) continuum. CoDA also uncovered the genetic vulnerability of specific brain regions at each stage of the disease along the continuum. CoDA is capable of integrating magnetic resonance imaging data from two different cohorts without stringent requirements for harmonization. This translates as an advantage, compared to traditional methods, and strengthens the reliability of cross-study comparisons by standardizing the data despite different labeling agreements, facilitating collaborative and large-scale research. The algorithm is sensitive to AD-specific effects, as the main compositional brain scores display little overlap with the age-specific compositional brain score. CoDA provides a more accurate analysis of brain imaging data addressing its compositional nature, which can influence the development of targeted approaches, opening new avenues for enhancing brain health.

Tau oligomers impair memory and synaptic plasticity through the cellular prion protein

Deposition of abnormally phosphorylated tau aggregates is a central event leading to neuronal dysfunction and death in Alzheimer’s disease (AD) and other tauopathies. Among tau aggregates, oligomers (TauOs) are considered the most toxic. AD brains show significant increase in TauOs compared to healthy controls, their concentration correlating with the severity of cognitive deficits and disease progression. In vitro and in vivo neuronal TauO exposure leads to synaptic and cognitive dysfunction, but their mechanisms of action are unclear. Evidence suggests that the cellular prion protein (PrPC) may act as a mediator of TauO neurotoxicity, as previously proposed for β-amyloid and α-synuclein oligomers. To investigate whether PrPC mediates TauO detrimental activities, we compared their effects on memory and synaptic plasticity in wild type (WT) and PrPC knockout (Prnp0/0) mice. Intracerebroventricular injection of TauOs significantly impaired recognition memory in WT but not in Prnp0/0 mice. Similarly, TauOs inhibited long-term potentiation in acute hippocampal slices from WT but not Prnp0/0 mice. Surface plasmon resonance indicated a high-affinity binding between TauOs and PrPC with a KD of 20–50 nM. Immunofluorescence analysis of naïve and PrPC-overexpressing HEK293 cells exposed to TauOs showed a PrPC dose-dependent association of TauOs with cells over time, and their co-localization with PrPC on the plasma membrane and in intracellular compartments, suggesting PrPC-may play a role in TauO internalization. These findings support the concept that PrPC mediates the detrimental activities of TauOs through a direct interaction, suggesting that targeting this interaction might be a promising therapeutic strategy for AD and other tauopathies.

SynPull: An advanced method for studying neurodegeneration-related aggregates in synaptosomes using super-resolution microscopy.

Synaptic dysfunction is a primary hallmark of both Alzheimer's and Parkinson's disease, leading to cognitive and behavioral decline. While alpha-synuclein, beta-amyloid, and tau are involved in the physiological functioning of synapses, their pathological aggregation has been linked to synaptopathology. The methodology for studying the small-soluble protein aggregates formed by these proteins is limited. Here we describe SynPull, a method combining single-molecule pull-down, super-resolution microscopy, and advanced computational analyses to characterize the protein aggregates in human and mouse synaptosomes. We show that AT8-positive tau aggregates are the predominant aggregate type in synaptosomes from postmortem Alzheimer's disease brain, although the aggregate size does not change in disease. Meanwhile, the relatively smaller amount of alpha-synuclein and beta-amyloid aggregates found in the synapses are larger than the extra-synaptic ones. Collectively, these results show the utility of SynPull to study pathological aggregates in neurodegeneration, elucidating the disease mechanisms causing synaptic dysfunction.

Enhanced detection of mild cognitive impairment in Alzheimer’s disease: a hybrid model integrating dual biomarkers and advanced machine learning

Alzheimer's disease (AD) is a complex, progressive, and irreversible neurodegenerative disorder marked by cognitive decline and memory loss. Early diagnosis is the most effective strategy to slow the disease's progression. Mild Cognitive Impairment (MCI) is frequently viewed as a crucial stage before the onset of AD, making it the ideal period for therapeutic intervention. AD is marked by the buildup of amyloid-beta (Aβ) plaques and tau neurofibrillary tangles (NFTs), which are believed to cause neuronal loss and cognitive decline. Both Aβ plaques and NFTs accumulate for many years before the clinical symptoms become apparent in AD. As a result, in this study, CerebroSpinal Fluid (CSF) biomarker information is combined with hippocampal volumes to differentiate between MCI and AD. For this, a novel two-stage hybrid learning model that leverages 3D CNN and the notion of a Fuzzy and Machine learning model is proposed. A 3D-CNN architecture is employed to segment the hippocampus from the structural brain 3D-MR images and quantify the hippocampus volume. In stage 1, the hippocampus volume is passed through thirteen machine learning models and fuzzy clustering for classifying symptomatic AD and healthy brain (Normal Control - NC). The CSF data is fuzzified to capture the inherent uncertainty and overlap in clinical data. The identified symptomatic AD data in the stage1 are further classified into MCI and AD with the aid of a fuzzified CSF biomarker in stage 2. The experimental work presented in this study utilized the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset. The proposed hybrid model achieved an average accuracy of 93.6% for distinguishing between NC and symptomatic AD and 93.7% for discriminating between MCI and AD. This approach enhances diagnostic accuracy and provides a more comprehensive assessment, allowing for earlier and more targeted therapeutic interventions.

Dementia and epilepsy without traumatic brain injury among subjects middle-aged females: a population-based case-control study.

Background: Although the association between dementia such as Alzheimer's disease and traumatic brain injury (TBI) is well established, there are significant knowledge gaps with respect to the perspective of dementia and epilepsy without TBI. Objective: We aimed to investigate the relationship between dementia and epilepsy in a population-based study of patients without history of TBI. Methods: This study included a random sample of 30,715 patients with no history of TBI, including 6143 with epilepsy as the study cohort and 24,572 without epilepsy as the comparison cohort. Stratified Cox proportional hazard regression was used to calculate the adjusted hazard ratio (HR), with 95% confidence interval, for the risk of developing dementia in the two cohorts. Results: Patients with epilepsy but no history of TBI had increased risk of dementia (adjusted HR = 1.84). For patients aged 55-64 years, the adjusted HR for dementia was 4.5-fold higher among females in the study cohort than among males. Additionally, this study revealed that risk of dementia among above 75-year population lowest than other age subgroups (adjusted HR = 1.45). Conclusions: The study demonstrated an association between dementia and epilepsy in the patients who had no history of TBI. The effect was pronounced in patients aged 55-64 years, especially in the female population, suggesting that epilepsy needs to be more intensively prevented and controlled in this age group.

Comparison of Methods of Detecting IL-1β in the Blood of Alzheimer's Disease Subjects.

Interleukin (IL)-1β is a pro-inflammatory cytokine whose levels are increased in the brains of Alzheimer's disease (AD) patients. Despite the role of IL-1β in the pathology of AD, the fact that it is expressed at very low levels makes it a challenging cytokine to measure, hence limiting its potential use as a reliable biomarker. Moreover, being able to accurately and reliably measure the levels of IL-1 β in blood makes it possible to evaluate this cytokine as a potential biomarker of the inflammatory response in AD. In this study, we compared three quantification methodologies, Meso-Scale Discovery (MSD), both V-Plex and S-Plex versions, and Quanterix's SIMOA (Single-Molecule Array), to measure IL-1β in the serum of AD patients and age-matched controls. These assays are routinely used to measure IL-1β serum levels with high specificity and sensitivity in human AD patients, yet to the best of our knowledge, no study has compared all three techniques for their accuracy to measure IL-1β as biomarkers. Our findings indicate the two MSD assays can be used to measure IL-1β levels in AD and control serum, but the SIMOA assay showed the highest receiver operating characteristics (ROCs), with an area under the curve (AUC) of 0.9532, which can be compared to the AUC values for the V-Plex assay, 0.5660, and the S-Plex assay, 0.6632. Taken together, these data show that although all technologies are useful in the measurement of IL-1β in the blood, the SIMOA IL-1β 3.0 assay is more reliable and sensitive in measuring biomarkers of AD.

Long-range inputome of prefrontal GABAergic interneurons in the Alzheimer's disease mouse.

Alzheimer's disease (AD) is the most common neurodegenerative disease, characterized by damage to cortical circuits. However, the mechanisms underlying AD-associated changes in long-range circuits remain poorly understood. In this study, we used viral tracing and fluorescence micro-optical sectioning tomography (fMOST) imaging to investigate whole-brain changes in the input circuit of the frontal cortex of 5×FAD mice. Pathological axonal degeneration was widely observed in upstream regions, including the cortex, hippocampus, and thalamus, across all AD brains examined. The proportion of input neurons projecting to parvalbumin-expressing neurons, compared to those projecting to somatostatin-expressing neurons, decreased in the hippocampus and basal forebrain. This decline was closely related to mouse age and the cell type of the presynaptic input neurons. This study demonstrates the selective vulnerability of long-range circuits in the prelimbic area in AD at the mesoscopic level, thereby enhancing our understanding of circuit architecture degeneration across the brain. We used whole-brain imaging with single-cell resolution to generate brain-wide input maps of the Alzheimer's disease mouse model. The pathological changes in the input proportions showed relevance with the mouse age, distribution, and cell type of the presynaptic input neurons. Compared to the cell body and dendrites of the medial prefrontal cortex input neurons, the pathological changes in the axonal structure are more extensive.

Dehydroamino acids and their crosslinks in Alzheimer's disease aggregates.

Alzheimer's disease (AD) is characterized by the accumulation of protein aggregates, which are thought to be influenced by posttranslational modifications (PTMs). Dehydroamino acids (DHAAs) are rarely observed PTMs that contain an electrophilic alkene capable of forming protein-protein crosslinks, which may lead to protein aggregation. We report here the discovery of DHAAs in the protein aggregates from AD, constituting an unknown and previously unsuspected source of extensive proteomic complexity. We used mass spectrometry-based proteomics to discover 404 sites of DHAA formation in 171 proteins from protein aggregate-enriched human brain samples, 6-fold more sites than observed in the soluble protein fractions. The DHAA modifications are observed both directly and in the form of conjugates after reacting with abundant cellular nucleophiles or crosslinking to nucleophilic amino acid residues. We report 11 such crosslinks, including three in the Tau protein, which are 10-fold more abundant in AD samples compared with age-matched controls. Many of the proteins found to contain DHAAs and their conjugates are involved in protein aggregation or pathways dysregulated in AD. DHAAs are prevalent modifications in the AD brain proteome and give rise to protein crosslinks that may contribute to protein aggregation.

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.

CEST imaging combined with 1H-MRS reveal the neuroprotective effects of riluzole by improving neurotransmitter imbalances in Alzheimer’s disease mice

BackgroundThe imbalance of glutamate (Glu) and gamma-aminobutyric acid (GABA) neurotransmitter system plays a crucial role in the pathogenesis of Alzheimer’s disease (AD). Riluzole is a Glu modulator originally approved for amyotrophic lateral sclerosis that has shown potential neuroprotective effects in various neurodegenerative disorders. However, whether riluzole can improve Glu and GABA homeostasis in AD brain and its related mechanism of action remain unknown. This study utilized chemical exchange saturation transfer (CEST) imaging combined with proton magnetic resonance spectroscopy (1H-MRS) to monitor the dynamic changes of Glu and GABA in riluzole-treated AD mice, aiming to evaluate the efficacy and mechanism of riluzole in AD treatment.MethodsGluCEST, GABACEST and 1H-MRS were used to longitudinally monitor Glu and GABA levels in 3xTg AD mice treated with riluzole (12.5 mg/kg/day) or vehicle for 20 weeks. Magnetic resonance measurements were performed at baseline, 6, 12, and 20 weeks post-treatment. Cognitive performance was assessed using the Morris Water Maze (MWM) at baseline, 10, and 20 weeks. At the study endpoint, immunohistochemistry, Nissl staining, and Western blot were used to evaluate the brain pathology, neuronal survival, and protein expression.ResultsGluCEST, GABACEST and 1H-MRS consistently revealed higher levels of Glu and GABA in the brain of riluzole-treated AD mice compared to untreated controls, which were associated with improvements in spatial learning and memory. The cognitive improvements significantly correlated with the increased GluCEST signals and Glu levels. Immunohistochemistry and Nissl staining demonstrated that riluzole treatment reduced amyloid-beta (Aβ) deposition, tau hyperphosphorylation, GFAP-positive astrocyte activation, and prevented neuronal loss. Moreover, riluzole upregulated the expression of excitatory amino acid transporter 2 (EAAT2), glutamic acid decarboxylase 65/67 (GAD65/67), and glutamine synthetase (GS), suggesting enhanced neurotransmitter metabolism.ConclusionsCEST imaging combined with 1H-MRS demonstrated the effectiveness of riluzole in modulating Glu- and GABA-related changes and improving cognitive function in 3xTg AD mice, potentially through regulating key proteins involved in neurotransmitter metabolism. These findings suggest riluzole as a therapeutic agent for Alzheimer’s disease and highlight the utility of multimodal MR imaging in monitoring treatment response and exploring disease mechanisms.

Higher Intron Retention Levels in Female Alzheimer's Brains May Be Linked to Disease Prevalence.

Multimodal study of Alzheimer's disease (AD) dorsolateral prefrontal cortex (DLPFC) showed AD-related aberrant intron retention (IR) and proteomic changes not observed at the RNA level. However, the role of sex and how IR may impact the proteome are unclear. Analysis of DLPFC transcriptome showed a clear sex-biased pattern where female AD had 1645 elevated IR events compared to 80 in male AD DLPFC. Increased IR is correlated with lower mRNA levels, suggestive of nonsense-mediated mRNA decay. Two hundred thirty-three mRNAs with elevated IR in females were curated AD genes enriched for ubiquitin-like protein ligase and Tau protein binding. Increased IR genes in combined sex and female AD cohorts showed significant changes in their protein expression patterns with 11%-24% of them differential expressed proteins (DEP), alluding to the regulation of AD proteome by IR independent of RNA level. Upregulated DEPs in male AD were linked to RNA splicing that may prevent aberrant IR, whereas in female AD, they overlapped significantly more with the MAPK/metabolism module associated with cognitive decline. IR genes appeared to be significantly downregulated in specific female AD inhibitory and excitatory neurons compared to control. Differentially retained introns in female AD have elevated H3K27ac marks, strong CTCF binding at their flanking exons, and enriched for PABPC1 motif. Given that H3K27ac is repressive over gene bodies in aged brain and CTCF impedes transcription elongation, their binding patterns can delay co-transcriptional recruitment of spliceosome to cause IR, which may in turn contribute to different trajectories of AD pathology in women.

Fecal Microbiota Transplantation (FMT) From a Human at Low Risk for Alzheimer's Disease Improves Short-Term Recognition Memory and Increases Neuroinflammation in a 3xTg AD Mouse Model.

Human microbiota-associated murine models, using fecal microbiota transplantation (FMT) from human donors, help explore the microbiome's role in diseases like Alzheimer's disease (AD). This study examines how gut bacteria from donors with protective factors against AD influence behavior and brain pathology in an AD mouse model. Female 3xTgAD mice received weekly FMT for 2 months from (i) an 80-year-old AD patient (AD-FMT), (ii) a cognitively healthy 73-year-old with the protective APOEe2 allele (APOEe2-FMT), (iii) a 22-year-old healthy donor (Young-FMT), and (iv) untreated mice (Mice-FMT). Behavioral assessments included novel object recognition (NOR), Y-maze, open-field, and elevated plus maze tests; brain pathology (amyloid and tau), neuroinflammation (in situ autoradiography of the 18 kDa translocator protein in the hippocampus); and gut microbiota were analyzed. APOEe2-FMT improved short-term memory in the NOR test compared to AD-FMT, without significant changes in other behavioral tests. This was associated with increased neuroinflammation in the hippocampus, but no effect was detected on brain amyloidosis and tauopathy. Specific genera, such as Parabacteroides and Prevotellaceae_UGC001, were enriched in the APOEe2-FMT group and associated with neuroinflammation, while genera like Desulfovibrio were reduced and linked to decreased neuroinflammation. Gut microbiota from a donor with a protective factor against AD improved short-term memory and induced neuroinflammation in regions strategic to AD. The association of several genera with neuroinflammation in the APOEe2-FMT group suggests a collegial effect of the transplanted microbiome rather than a single-microbe driver effect. These data support an association between gut bacteria, glial cell activation, and cognitive function in AD.

Neuroinflammation mediates the progression of neonate hypoxia-ischemia brain damage to Alzheimer's disease: a bioinformatics and experimental study.

Traumatic brain injury (TBI) can generally be divided into focal damage and diffuse damage, and neonate Hypoxia-Ischemia Brain Damage (nHIBD) is one of the causes of diffuse damage. Patients with nHIBD are at an increased risk of developing Alzheimer's disease (AD). However, the shared pathogenesis of patients affected with both neurological disorders has not been fully elucidated. We here aim to identify the shared molecular signatures between nHIBD and AD. We used an integrated analysis of the cortex gene expression data, targeting differential expression of genes related to the mechanisms of neurodegeneration and cognitive impairment following traumatic brain injury. The gene expression profiles of Alzheimer's disease (GSE203206) and that of Neonate Hypoxia-Ischemia Brain Damage (GSE23317) were obtained from the Gene Expression Omnibus (GEO) database. After identifying the common differentially expressed genes (DEGs) of Alzheimer's disease and neonate Hypoxia-Ischemia Brain Damage by limma package analysis, five kinds of analyses were performed on them, namely Gene Ontology (GO) and pathway enrichment analysis, protein-protein interaction network, DEG-transcription factor interactions and DEG-microRNA interactions, protein-drug interactions and protein-disease association analysis, and gene-inflammation association analysis and protein-inflammation association analysis. In total, 12 common DEGs were identified including HSPB1, VIM, MVD, TUBB4A, AACS, ANXA6, DIRAS2, RPH3A, CEND1, KALM, THOP1, AREL1. We also identified 11 hub proteins, three central regulatory transcription factors, and three microRNAs encoded by the DEGs. Protein-drug interaction analysis showed that CYC1 and UQCRFS1 are associated with different drugs. Gene-disease association analysis shows Mammary Neoplasms, Neoplasm Metastasis, Schizophrenia, and Brain Ischemia diseases are the most relevant to the hub proteins we identified. Gene-inflammation association analysis shows that the hub gene AREL1 is related to inflammatory response, while the protein-inflammation association analysis shows that the hub proteins AKT1 and MAPK14 are related to inflammatory response. This study provides new insights into the shared molecular mechanisms between AD and nHIBD. These common pathways and hub genes could potentially be used to design therapeutic interventions, reducing the likelihood of Alzheimer's disease development in survivors of neonatal Hypoxic-Ischemia brain injury.