4.7 Article

Gut microbial taxa as potential predictive biomarkers for acute coronary syndrome and post-STEMI cardiovascular events

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SCIENTIFIC REPORTS
卷 10, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41598-020-59235-5

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  1. Major Science and Technology Projects of Tianjin Science and Technology Commission in 2016 [16ZXMJSY00150]
  2. Key Project of Healthcare Industry of Tianjin in 2016 [16KG131]
  3. Science and Technology Project of Tianjin Jinnan District Science and Technology Commission [20171514]

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Plasma trimethylamine N-oxide (TMAO) is associated with coronary atherosclerotic plaque and cardiovascular disease risk, but associations between gut microbes in acute coronary syndrome (ACS) and post-ST-segment elevation myocardial infarction (post-STEMI) events are unknown. We investigated associations between gut microbial taxa and systemic TMAO levels and the possible TMAO contribution to incident post-STEMI cardiovascular events. Patients and Methods. A total of 60 patients, including 30 with unstable angina pectoris (UAP), 30 post-STEMI and 30 healthy controls, were enrolled from June to November 2017. Metagenomic sequencing was performed and TMAO and IL-6 were detected. Results. Minimal discriminators of gut microbial taxa (top 40) distinguished ACS patients from controls. Serum TMAO levels were positively associated with increased abundance of Aerococcaceae, Ruminococcaceae_UCG.005, Ruminococcaceae_UCC.014 and X. Eubacterium_ fissicatena, and decreased abundance of Lachnospiraceae_FCS020 (P < 0.05). Elevated serum TMAO levels correlated independently with ACS (P < 0.05). Risk stratification for incident major adverse cardiovascular events (MACE) improved at one year in patients with serum TMAO levels <= 2.19 mu M. Serum interleukin-6 levels were not significantly increased in patients with ACS and post-STEMI MACE. Conclusions. ACS and incident post-STEMI MACE may be associated with the gut bacteria choline metabolite TMAO. The specific gut microbial taxa identified in association with serum TMAO levels may be potential predictive biomarkers for accurate diagnosis of ACS onset.

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