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Microbial metabolites in chronic heart failure and its common comorbidities

This study aimed to identify microbial signatures that contribute to the shared etiologies between chronic heart failure (CHF), type 2 diabetes, and chronic kidney disease. The serum levels of 151 microbial metabolites were measured in 260 individuals from the Risk Evaluation and Management of heart...

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Detalles Bibliográficos
Autores principales: Hua, Sha, Lv, Bomin, Qiu, Zeping, Li, Zhuojin, Wang, Zhiyan, Chen, Yanjia, Han, Yanxin, Tucker, Katherine L, Wu, Hao, Jin, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245034/
https://www.ncbi.nlm.nih.gov/pubmed/37155563
http://dx.doi.org/10.15252/emmm.202216928
Descripción
Sumario:This study aimed to identify microbial signatures that contribute to the shared etiologies between chronic heart failure (CHF), type 2 diabetes, and chronic kidney disease. The serum levels of 151 microbial metabolites were measured in 260 individuals from the Risk Evaluation and Management of heart failure cohort, and it was found that those metabolites varied by an order of 10(5) fold. Out of 96 metabolites associated with the three cardiometabolic diseases, most were validated in two geographically independent cohorts. In all three cohorts, 16 metabolites including imidazole propionate (ImP) consistently showed significant differences. Notably, baseline ImP levels were three times higher in the Chinese compared with the Swedish cohorts and increased by 1.1–1.6 fold with each additional CHF comorbidity in the Chinese population. Cellular experiments further supported a causal link between ImP and distinct CHF relevant phenotypes. Additionally, key microbial metabolite‐based risk scores were superior in CHF prognosis than the traditional Framingham or Get with the Guidelines‐Heart Failure risk scores. Interactive visualization of these specific metabolite‐disease links is available on our omics data server (https://omicsdata.org/Apps/REM‐HF/).