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Xiaofeng Zhu

Publications and source records attributed to Xiaofeng Zhu.

2 recordsLinked to original sources
PubMed2026

Chronic ethanol exposure alters the expression of genes associated with GPCR-related signaling in the olfactory bulb of male mice.

Chronic ethanol exposure, a key feature of alcohol use disorder (AUD), can affect the nervous system, but its molecular impact on the olfactory bulb remains unclear. In this study, an intermittent two-bottle voluntary drinking model was established in male mice, and transcriptome sequencing was performed on olfactory bulb tissues. DESeq2 analysis identified 188 differentially expressed genes, including 68 upregulated and 120 downregulated genes. Kyoto Encyclopedia of Genes and Genomes (KEGG) and Reactome pathway database (Reactome) analyses indicated that ethanol-responsive genes were predominantly enriched in receptor-mediated signaling pathways, particularly those linked to G protein-coupled receptor (GPCR) signaling. Protein-protein interaction analysis further identified eight core GPCR-related genes. Quantitative real-time PCR (qRT-PCR) validation revealed that Cxcl10, Grp, Pcp2, and Pdyn were markedly downregulated in the ethanol group. These results suggest that chronic ethanol exposure is associated with transcriptional alterations in the male mouse olfactory bulb and may selectively affect several GPCR-related signaling components. This study provides candidate molecular evidence for further investigation of ethanol-associated olfactory dysfunction.

Chronic ethanol exposure↗
PubMed2026

Partitioned blood pressure polygenic risk reveals differential genetic effects of tissue-specific enhancers and their interactions on cardiovascular disease.

Polygenic risk scores (PRS) compress genome-wide associations into a single predictor, but this aggregation obscures the distinct biological mechanisms through which genetic variation shapes complex traits. Here we introduce a framework that additively decomposes a trait's PRS, without loss of SNP heritability, into independent components defined by the tissue-specific and tissue-agnostic cis-regulatory elements (CREs) in which its variants act. Applied to blood pressure (BP) using ~0.5 million CREs across four BP-relevant tissues (adrenal gland, artery, heart, kidney), the framework reveals that regulatory effects are globally additive across tissues yet locally non-additive, and that the resulting partitioned scores carry pronounced, reproducible heterogeneity in their effects on BP and cardiovascular outcomes. We show this heterogeneity reflects gene-environment interactions, and trace one example to its mechanism: a kidney-CRE-partitioned score is protective against coronary artery disease and myocardial infarction through an interaction between ATP2B1 and antihypertensive medication. Explicitly modeling these interactions improves prediction and transferability, and tissue-focused partitioning increases power to resolve causal genes and reveals genes such as ADAMTS8 with antagonistic effects across BP components. Validated in an independent All of Us cohort, these findings recast the PRS from a blunt aggregate predictor into a mechanistic probe of context-dependent genetic architecture.

Journal Article↗