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Integrative transcriptomic and genetic analysis implicates fatty acid metabolic reprogramming in perivascular
Fan Wang1, Xiangyang Wang1, Yuhui Chen1
1Department of Neurology, Henan medical Key Laboratory of Neurology, Henan Joint International Laboratory of Neurorestoratology for Senile Dementia, Henan Key Laboratory of Neurorestoratology and Protein modification, Henan Medical University, Xinxiang, 453100, Henan, China.
None:
Dysregulated lipid metabolism and neuroinflammation are increasingly recognized as interacting contributors to Alzheimer's disease (AD), but the cell-type-specific genetic links between fatty acid metabolism and AD remain incompletely defined. This study aimed to identify fatty acid metabolism-related genes associated with AD risk and to characterize their relevance to perivascular macrophage (PVM) states. Single-cell RNA-sequencing data from GSE160936 and bulk transcriptomic data from GSE270454 were integrated to evaluate cell-type-specific fatty acid metabolism activity in AD and control samples.The primary data sources, fatty acid metabolism gene set, AUCell scoring strategy, CellChat workflow, GSEA resources, and MR software settings were specified to improve reproducibility. PVMs were further analyzed for differential expression, ligand-receptor communication, pathway enrichment, transcription factor regulation, and pseudotime-associated transcriptional changes. Cis-eQTL-based two-sample Mendelian randomization was performed using eQTLGen exposure data and AD GWAS summary statistics, followed by sensitivity analyses, reverse MR, and Bayesian colocalization.The analyses were interpreted across three distinct evidence levels: cell-type-resolved transcriptional association, systemic genetic expression prioritization, and tissue-level protein expression. Nominal MR findings were interpreted alongside multiple-testing considerations and colocalization support.Candidate protein expression was examined in hippocampal tissue from APP/PS1 and wild-type mice by Western blotting. Single-cell analysis identified eight major cell populations and showed increased fatty acid metabolism activity in PVMs from AD samples. Mendelian randomization prioritized ten fatty acid metabolism-related genes associated with AD risk, among which ACSL1, EPM2AIP1, MALT1, and RASGRP3 showed strong colocalization support (PP.H4 > 0.9). Pathway analyses linked these genes to lipid metabolic regulation, inflammatory signaling, phagocytosis, and mitochondrial/peroxisomal fatty acid metabolism. Co-expression analysis suggested associations between MALT1 and fatty acid oxidation-related genes, including ACADM and ACOX1. Western blotting in whole hippocampal lysates from APP/PS1 mice provided exploratory tissue-level protein evidence, showing increased ACSL1 and MALT1 and decreased RASGRP3 expression; these findings should not be interpreted as confirmatory PVM-specific validation. This integrative analysis prioritizes ACSL1, EPM2AIP1, MALT1, and RASGRP3 as candidate genes connecting fatty acid metabolic dysregulation with AD-associated neuroinflammatory processes. Because the genetic instruments were blood-derived and the protein assays used whole hippocampal lysates, the findings should be interpreted as candidate-gene prioritization and hypothesis generation rather than proof of direct PVM-specific causality.Accordingly, the study supports a prioritized candidate framework for future functional testing, not validated therapeutic targets or direct causal proof.
