ArticleJournal of advanced research2023
Gut microbiota combined with metabolites reveals unique features of acute myocardial infarction patients different from stable coronary artery disease.
Article in Journal of advanced research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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Who cites it
54 citing papers in PubMed, 106 citations in OpenAlex.
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- Invasion of gut-derived escherichia coli extracellular vesicles exacerbates myocardial ischemia/reperfusion injury.Gut microbes · 2026Article
- ROS-responsive hydrogel delivering liposomal indole-3-propionic acid promotes spinal cord injury repair by enhancing CX3CL1-CX3CR1 mediated neuron-microglia communication.Materials today. Bio · 2026Article
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- Mass spectrometry-based metabolomics for studying gut microbiota-derived metabolites in biological samples.Journal of food and drug analysis · 2026Review
- Sodium Butyrate Attenuates Isoprenaline-Induced Myocardial Injury via Restoring the Gut-Heart Axis and Suppressing TLR4/NF-κB Signaling.Current issues in molecular biology · 2026Article
- The gut-heart dialogue: an epigenetic perspective on myocardial infarction.NPJ biofilms and microbiomes · 2026Review
- Gut microbiota-mediated regulation of skeletal development: A review of mechanistic analysis and interventional strategies.Journal of advanced research · 2026Review
- Lachnospiraceae-Derived Extracellular Vesicles Mediate the Cardioprotective Effects of Barley Leaf in Myocardial Infarction by Improving Intestinal Stem Cell Function.Journal of extracellular vesicles · 2026Article
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- Clinical efficacy and mechanism of action of cardiac rehabilitation after revascularization for multi-vessel coronary artery disease.Caspian journal of internal medicine · 2026Article
- Effect of evolocumab on the gut microbiota in patients with acute myocardial infarction.Journal of medical microbiology · 2026Article
- Identification and clinical evaluation of diagnostic biomarkers for ischemic cardiomyopathy based on machine learning and transcriptomics.Frontiers in cardiovascular medicine · 2026Article
- Dapagliflozin enhances gut barrier function in rats with chronic myocardial infarction by modulating gut microbiota balance.Annals of translational medicine · 2025Article
- Identification of plasma phosphatidylethanolamine species associated with myocardial infarction risk in patients with stable angina: A cross-sectional lipidomics study.The Journal of international medical research · 2025Article
- Dynamic multi-omics analysis reveals the correlation between aroma compounds and symbiotic microbial community during tobacco leaf aging process.BMC plant biology · 2025Article
- Acute Myocardial Infarction: Molecular Pathogenesis, Diagnosis, and Clinical Management.MedComm · 2025Review
- Absolute quantitative metagenomic analysis reveals unique gut bacteria underlying berberine and metformin's anti-metabolic disorders effects.Microbiology spectrum · 2025Article
- Microbial Metabolites and Cardiovascular Dysfunction: A New Era of Diagnostics and Therapy.Cells · 2025Review
Corrections and comments
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Authors and funding
14 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAcute myocardial infarction (AMI) accounts for the majority of deaths caused by coronary artery disease (CAD). Early warning of AMI, especially for patients with stable coronary artery disease (sCAD), is urgently needed. Our previous study showed that alterations in the gut microbiota were correlated with CAD severity.
objectivesHerein, we tried to discover accurate and convenient biomarkers for AMI by combination of gut microbiota and fecal/blood/urinary metabolomics.
methodsWe recruited 190 volunteers including 93 sCAD patients, 49 AMI patients, and 48 subjects with normal coronary artery (NCA), and measured their blood biochemical parameters, 16S rRNA-based gut microbiota and NMR-based fecal/blood/urinary metabolites. We further selected 20 subjects from each group and analyzed their gut microbiota by whole-metagenome shotgun sequencing.
resultsMulti-omic analyses revealed that AMI patients exhibited specific changes in gut microbiota and serum/urinary/fecal metabolites as compared to subjects with sCAD or NCA. Fourteen bacterial genera and 30 metabolites (11 in feces, 10 in blood, 9 in urine) were closely related to AMI phenotypes and could accurately distinguish AMI patients from sCAD patients. Some species belonging to Alistipes, Streptococcus, Ruminococcus, Lactobacillus and Faecalibacterium were effective to distinguish AMI from sCAD and their predictive ability was confirmed in an independent cohort of CAD patients. We further selected nine indicators including 4 bacterial genera, 3 fecal and 2 urinary metabolites as a noninvasive biomarker set which can distinguish AMI from sCAD with an AUC of 0.932.
conclusionCombination of gut microbiota and fecal/urinary metabolites provided a set of potential useful and noninvasive predictive biomarker for AMI from sCAD.
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