Your browser doesn't support javascript.
loading
Causal relationship between the gut microbiota, immune cells, and coronary heart disease: a mediated Mendelian randomization analysis.
Yang, Feifei; Song, Hui; Tang, Weizhi; Liu, Lingyun; Zhu, Ziyi; Ouyang, Bin; Zhang, Liwen; He, Guixin; Qin, Weibin.
Afiliación
  • Yang F; Graduate School of Guangxi University of Chinese Medicine, Nanning, China.
  • Song H; Graduate School of Guangxi University of Chinese Medicine, Nanning, China.
  • Tang W; Graduate School of Guangxi University of Chinese Medicine, Nanning, China.
  • Liu L; Graduate School of Guangxi University of Chinese Medicine, Nanning, China.
  • Zhu Z; Graduate School of Guangxi University of Chinese Medicine, Nanning, China.
  • Ouyang B; Graduate School of Guangxi University of Chinese Medicine, Nanning, China.
  • Zhang L; Graduate School of Guangxi University of Chinese Medicine, Nanning, China.
  • He G; Department of Cardiovascular Medicine, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, China.
  • Qin W; Department of Cardiovascular Medicine, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, China.
Front Microbiol ; 15: 1449935, 2024.
Article en En | MEDLINE | ID: mdl-39161605
ABSTRACT

Background:

Recent studies have shown that the gut microbiota (GM), immune cells, and coronary heart disease (CHD) are closely related, but the causal nature of these relationships is largely unknown. This study aimed to investigate this causal relationship and reveal the effect of GM and immune cells on the risk of developing CHD using mediated Mendelian randomization (MR) analysis.

Methods:

First, we searched for data related to GM, immune cells, and CHD through published genome-wide association studies (GWAS). We filtered the single nucleotide polymorphisms (SNPs) associated with GM and immune cells and then performed the first MR analysis to identify disease-associated intestinal bacteria and disease-associated immune cells. Subsequently, three MR analyses were conducted from disease-associated GM to disease-associated immune cells, from disease-associated immune cells to CHD, and from disease-associated GM to CHD. Each MR analysis was conducted using inverse variance weighting (IVW), MR-Egger regression, weighted median, weighted models, and simple models.

Results:

A total of six GM and 25 immune cells were found to be associated with CHD. In the MR analysis using the inverse variance weighting (IVW) method, g__Desulfovibrio.s__Desulfovibrio_piger was associated with EM DN (CD4-CD8-) %T cells (P < 0.05 and OR > 1), EM DN (CD4-CD8-) %T cells was associated with CHD (P < 0.05 and OR < 1), and g__Desulfovibrio.s__Desulfovibrio_piger was associated with CHD (P < 0.05 and OR < 1).

Conclusion:

An increase in the abundance of g__Desulfovibrio.s__Desulfovibrio_piger leads to an increase in the amount of EM DN (CD4-CD8-) %T cells, and an increase in the amount of EM DN (CD4-CD8-) %T cells reduces the risk of developing CHD. Our study provides some references for reducing the incidence of CHD by regulating GM and immune cells.
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Microbiol Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Microbiol Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza