ArticleFrontiers in cellular and infection microbiology2025
Integrated oral microbiome and metabolome analysis unveils key biomarkers and functional pathway alterations in patients with acute myocardial infarction.
Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Mass Spectrometry-Based Oral Meta-Omics Analysis-What We Know and What We Don't.Advances in experimental medicine and biology · 2026Review
- Integrated Oral Microbiome and Metabolome Profiling Identifies Disease-Associated Multi-Omics Signatures in Alström and Bardet-Biedl Syndromes.Computational and structural biotechnology journal · 2026Article
- The oral microbiome as a regulatory hub for systemic health: a systematic review of mechanistic links and clinical implications.Journal of oral microbiology · 2026Review
- Oral microbiota in cardiovascular health and disease.Frontiers in cellular and infection microbiology · 2025Review
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Authors and funding
9 authors.
Funding
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Abstract
Introduction: The significance of oral microbiota in acute myocardial infarction (AMI) has been increasingly appreciated. However, the association between oral microbiota, metabolites, and AMI parameters, as well as the key microbiota and metabolites that may play a crucial role in this process, remains unclear. To investigate the oral microbiome composition and metabolomic profiles associated with AMI and explore the roles of specific bacterial species and key metabolites in functional pathways in the progression of AMI. Methods: A case-control study was conducted involving 24 AMI patients and 24 matched healthy controls. Saliva samples were collected for 16S rRNA sequencing and untargeted LC-MS metabolomics. Correlation analysis was then performed to explore associations between microbial taxa, metabolomic profiles, and AMI clinical parameters, with results visualized as heatmaps of correlation coefficients. Results: The component of the oral microbiota of the AMI group showed significant alterations when compared to the control group. Particularly, a significant shift in terms of alpha and beta diversity was observed between the AMI and control groups (p < 0.05). The Conclusion: This integrative analysis underscores the diagnostic potential of oral microbiome-metabolome interactions in AMI and unveils key mechanistic pathways for guiding future therapeutic interventions.
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