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Faecalibacterium prausnitzii as a potential Antiatherosclerotic microbe.
Yang, Hai-Tao; Jiang, Zhi-Hui; Yang, Yi; Wu, Ting-Ting; Zheng, Ying-Ying; Ma, Yi-Tong; Xie, Xiang.
  • Yang HT; Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, No.137, Liyushan Road, Urumqi, 830011, China.
  • Jiang ZH; Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, No.137, Liyushan Road, Urumqi, 830011, China.
  • Yang Y; Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, No.137, Liyushan Road, Urumqi, 830011, China.
  • Wu TT; Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, No.137, Liyushan Road, Urumqi, 830011, China.
  • Zheng YY; Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, No.137, Liyushan Road, Urumqi, 830011, China. zhengying527@163.com.
  • Ma YT; Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, No.137, Liyushan Road, Urumqi, 830011, China. myt-xj@163.com.
  • Xie X; Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, No.137, Liyushan Road, Urumqi, 830011, China. xiangxie999@sina.com.
Cell Commun Signal ; 22(1): 54, 2024 01 19.
Article en En | MEDLINE | ID: mdl-38243314
ABSTRACT

BACKGROUND:

The gut microbiota plays a crucial role in coronary artery disease (CAD) development, but limited attention has been given to the role of the microbiota in preventing this disease. This study aimed to identify key biomarkers using metagenomics and untargeted metabolomics and verify their associations with atherosclerosis.

METHODS:

A total of 371 participants, including individuals with various CAD types and CAD-free controls, were enrolled. Subsequently, significant markers were identified in the stool samples through gut metagenomic sequencing and untargeted metabolomics. In vivo and in vitro experiments were performed to investigate the mechanisms underlying the association between these markers and atherosclerosis.

RESULTS:

Faecal omics sequencing revealed that individuals with a substantial presence of Faecalibacterium prausnitzii had the lowest incidence of CAD across diverse CAD groups and control subjects. A random forest model confirmed the significant relationship between F. prausnitzii and CAD incidence. Notably, F. prausnitzii emerged as a robust, independent CAD predictor. Furthermore, our findings indicated the potential of the gut microbiota and gut metabolites to predict CAD occurrence and progression, potentially impacting amino acid and vitamin metabolism. F. prausnitzii mitigated inflammation and exhibited an antiatherosclerotic effect on ApoE-/- mice after gavage. This effect was attributed to reduced intestinal LPS synthesis and reinforced mechanical and mucosal barriers, leading to decreased plasma LPS levels and an antiatherosclerotic outcome.

CONCLUSIONS:

Sequencing of the samples revealed a previously unknown link between specific gut microbiota and atherosclerosis. Treatment with F. prausnitzii may help prevent CAD by inhibiting atherosclerosis.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aterosclerosis / Microbioma Gastrointestinal Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aterosclerosis / Microbioma Gastrointestinal Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Año: 2024 Tipo del documento: Article