Evidence map›Paper›PMID 41622251›Full record

ArticleCell & bioscience2026

Inflammation-induced impairment of synaptic plasticity accelerates atherosclerosis co-depression disease: insights from bioinformatics analysis and transcriptomics.

Yulong Zhao, Qiang Luo, Peng Ren, Renbo Zhang, Youliang Wen, Houmin Lai, Yuzhen Fan, Xu Liu, Junjie Zhou, Xiaoyun Wu

Abstract read
In one paragraph

Article in Cell & bioscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yulong Zhao *School of Rehabilitation Medicine, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Qiang Luo *School of Rehabilitation Medicine, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Peng RenSchool of Rehabilitation Medicine, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Renbo ZhangDepartment of Critical Care Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China.
Youliang WenSchool of Rehabilitation Medicine, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Houmin LaiSchool of Rehabilitation Medicine, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Yuzhen FanSchool of Rehabilitation Medicine, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Xu LiuSchool of Rehabilitation Medicine, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Junjie ZhouSchool of Rehabilitation Medicine, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Xiaoyun WuKey Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases of Ministry of Education, Gannan Medical University, University Park, 323 National Road, Zhanggong District, Ganzhou City, 341000, Jiangxi Province, China. xiaoyun.wu@gmu.edu.cn.

Funding

The Talent Starting Fund Project of Gannan Medical University Grant number QD202208
6 · The paper itself

Abstract

backgroundAtherosclerosis (AS) serves as the pathological foundation for numerous cardiovascular and cerebrovascular diseases and is highly comorbid with depression. The mechanisms underlying this co-morbidity are exceptionally complex, posing significant challenges to effective clinical treatment. Consequently, our study aims to explore the potential biomarkers and mechanisms involved in developing atherosclerosis co-depression disease.

methodsWe performed differential expression analysis, protein-protein interaction analysis, Gene Ontology (GO) function enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis on co-differentiated genes using AS and depression-related datasets from the GEO database. Potential biomarkers were identified through ROC curve analysis. To evaluate the effectiveness of the model, we established an animal model of AS comorbid with depressive disorder and performed a series of assessments, including the sugar-water preference test, open field test, tail suspension test, lipid profile analysis, and pathological examination of aortic sections. Additionally, RNA sequencing analysis of brain tissue, Golgi staining, and detection of synaptic function-related proteins were performed in AS comorbid depressed mice. Finally, in vitro cellular experiments were conducted to further validate the molecular targets and underlying mechanisms.

resultsWe identified 968 differentially expressed genes associated with AS and 472 differentially expressed genes associated with depression, with 30 genes co-differentially expressed. Protein-protein interaction (PPI) analysis revealed that CCR5, CCR2, NPY, and OPRM1 were strongly associated with AS co-depression, while ROC analysis indicated that Shank2, MDGA2, and S100B were diagnostic markers for AS with depression. Differentially expressed genes were closely associated with the chemokine signaling pathway, neuroactive ligand-receptor interaction, cytokine-cytokine receptor interaction, and taste transduction. Animal studies demonstrated that ApoE

conclusionOur study identified seven candidate AS co-depression biomarkers and verified that inflammation-induced damage to synaptic plastic rows is an important mechanism of AS co-depression, providing new insights into the diagnosis and treatment of AS co-depression disorders.

Indexed as

AtherosclerosisBioinformatics analysisDepressionInflammationSynaptic plasticity

Identifiers

PMID41622251
PMCPMC12952031

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.