Impact of gut microbiome on the renin-aldosterone system: Shika-machi Super Preventive Health Examination results

• Published in: Hypertension research Vol. 46; no. 10; pp. 2280 - 2292
• Main Authors: Mizoguchi, Ren, Karashima, Shigehiro, Miyajima, Yuna, Ogura, Kohei, Kometani, Mitsuhiro, Aono, Daisuke, Konishi, Seigo, Demura, Masashi, Tsujiguchi, Hiromasa, Hara, Akinori, Nakamura, Hiroyuki, Yoneda, Takashi, Okamoto, Shigefumi, Satou, Kenji
• Format: Journal Article
• Language: English
• Published: England Nature Publishing Group 01.10.2023
• Subjects: Digestive system; Discriminant analysis; Disease prevention; Endocrine system; Hypertension; Microbiota; Causal inference; Aldosterone-renin ratio; Blood pressure; Renin-angiotensin-aldosterone system; Gut microbiome
• ISSN: 0916-9636; 1348-4214
• DOI: 10.1038/s41440-023-01334-7

The renin-angiotensin-aldosterone system (RAAS) is a regulatory mechanism of the endocrine system and is associated with various diseases, including hypertension and renal and cardiovascular diseases. The gut microbiota (GM) have been associated with various diseases, mainly in animal models. However, to our knowledge, no studies have examined the relationship between the RAAS and GM in humans. The present study aimed to assess the association between the systemic RAAS and GM genera and their causal relationships. The study participants were 377 members of the general population aged 40 years or older in Shika-machi, Japan. Plasma renin activity (PRA), plasma aldosterone concentration (PAC), aldosterone-renin ratio (ARR), and GM composition were analyzed using the 16S rRNA method. The participants were divided into high and low groups according to the PRA, PAC, and ARR values. U-tests, one-way analysis of covariance, and linear discriminant analysis of effect size were used to identify the important bacterial genera between the two groups, and binary classification modeling using Random Forest was used to calculate the importance of the features. The results showed that Blautia, Bacteroides, Akkermansia, and Bifidobacterium were associated with the RAAS parameters. Causal inference analysis using the linear non-Gaussian acyclic model revealed a causal effect of Blautia on PAC via SBP. These results strengthen the association between the systemic RAAS and GM in humans, and interventions targeting the GM may provide new preventive measures and treatments for hypertension and renal disease.