ArticleReviews in cardiovascular medicine2025
Correlation Analysis of Gut Microbiota Derivatives with Coronary Artery Disease Severity and Prognosis.
Article in Reviews in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed.
- The correlation and auxiliary diagnostic value of gut microbiota and serological indicators with Kawasaki disease complicated by coronary artery lesions.Frontiers in cellular and infection microbiology · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Previous research has highlighted a connection between gut microbiota derivatives and atherosclerosis. This study assesses the association between gut microbiota derivatives and coronary artery disease (CAD) to enhance CAD prevention and treatment strategies. Methods: Patients presenting with suspected CAD were categorized into CAD and non-CAD groups. A propensity score matching analysis was performed to exclude confounding factors. Key differences in general characteristics and gut microbiota derivatives between these groups were also assessed. Additionally, the study explored the correlation between significant differences in the Gensini score and coronary flow reserve. Moreover, the potential of significant indicators to predict the diagnosis of coronary artery disease was analyzed. Results: After propensity score matching, the concentrations of interleukin-6 (IL-6) (47.23 ± 7.45 vs. 39.56 ± 7.37; Conclusions: These findings suggest that serum IL-6, LPS, hs-CRP, PAGIn, TMAO, and GLP-1 levels can be used as clinical markers for predicting CAD severity. Among these, IL-6, hs-CRP, and TMAO are identified as independent risk factors influencing the severity of CAD-elevated levels of IL-6 and TMAO exhibit predictive utility for CAD diagnosis. Furthermore, serum TMAO is a potential clinical marker for forecasting a CAD prognosis.
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Registered trials
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