Evidence map›Paper›PMID 41942879›Full record

ArticleBMC cardiovascular disorders2026

Distribution of gut microbiota and prognostic value in elderly patients with coronary atherosclerosis: a preliminary culture-based study.

Hengchao Du, Xiaobo Xu, Qunyan Lei, Chengsi Qian, Zhaofeng Wang, Xinyan Yu, Qunfang Lei

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

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5 · Who and what money

Authors and funding

7 authors.

Hengchao DuDepartment of Clinical Laboratory, The Third Affiliated Hospital of Jiaxing University (Zhejiang Rong Jun Hospital), Jiaxing, 314000, China.
Xiaobo XuDepartment of Clinical Laboratory, The Third Affiliated Hospital of Jiaxing University (Zhejiang Rong Jun Hospital), Jiaxing, 314000, China.
Qunyan LeiDepartment of Anesthesiology, The Third Affiliated Hospital of Jiaxing University (Zhejiang Rong Jun Hospital), Jiaxing, 314000, China.
Chengsi QianDepartment of Cardiology, The Third Affiliated Hospital of Jiaxing University (Zhejiang Rong Jun Hospital), Jiaxing, 314000, China.
Zhaofeng WangDepartment of Clinical Laboratory, The Third Affiliated Hospital of Jiaxing University (Zhejiang Rong Jun Hospital), Jiaxing, 314000, China.
Xinyan YuDepartment of Clinical Laboratory, The Third Affiliated Hospital of Jiaxing University (Zhejiang Rong Jun Hospital), Jiaxing, 314000, China.
Qunfang LeiHospital Infection Management, The Third Affiliated Hospital of Jiaxing University (Zhejiang Rong Jun Hospital), Jiaxing, 314000, China. 13757391229@163.com.

Funding

The Jiaxing Science and Technology Programme 2024AD30006
6 · The paper itself

Abstract

objectiveThis study aimed to characterize the distribution of specific cultivable gut microbiota in elderly patients with coronary artery disease (CAD) and evaluate their prognostic significance.

methodsA cohort of 200 elderly CAD patients, categorized into mild, moderate, and severe groups according to Gensini scores, together with 50 healthy elderly controls, were enrolled. Levels of specific gut microbial taxa (Bifidobacterium, Enterobacteriaceae, Lactobacillus, Enterococcus, Bacteroides) were quantified using standard anaerobic culture on selective agar media. Serum lipid profiles (TG, TC, HDL-C, LDL-C) were assessed. Correlations among microbial composition, disease severity, and lipid metabolic parameters were analyzed. Patients were followed for 6 months and stratified according to the occurrence of major adverse cardiovascular events (MACE) to assess the association between gut microbiota and clinical outcomes. Multivariable logistic regression was used to adjust for potential confounders.

resultsCompared with controls, CAD patients exhibited reduced abundances of Bifidobacterium, Lactobacillus, and Bacteroides, along with elevated levels of Enterobacteriaceae and Enterococcus. The magnitude of these changes correlated with CAD severity. These microbial alterations were significantly associated with dyslipidemia and the degree of coronary atherosclerosis. Patients with unfavorable outcomes demonstrated more pronounced alterations in these bacterial groups. After adjusting for potential confounders, the combined microbiota score remained independently associated with poor prognosis (adjusted odds ratio [OR] = 3.484, 95% CI: 2.196–5.527, P < 0.001).

conclusionElderly CAD patients display distinct alterations in the abundance of selected cultivable gut bacteria, which correlates with both disease severity and lipid metabolic status. Assessment of these bacterial groups may hold potential value for prognostic prediction in this population, but these findings require validation in larger, independent cohorts using more comprehensive sequencing-based methods.

Indexed as

BacteriaCoronary Artery DiseaseGastrointestinal MicrobiomeIntestinesAgedAge FactorsBiomarkersCase-Control StudiesFemaleHumansLipidsMaleMiddle AgedPrognosisRisk FactorsSeverity of Illness IndexBiomarkersLipidsCoronary artery diseaseElderlyGut microbiotaMACETotal cholesterolTriglycerides

Identifiers

PMID41942879
PMCPMC13054994

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