生物
糖尿病前期
牛磺酸
代谢组
胆汁酸
鹅去氧胆酸
代谢组学
新陈代谢
脱氧胆酸
2型糖尿病
胆酸
肠道菌群
代谢途径
生物化学
内科学
内分泌学
糖尿病
氨基酸
生物信息学
医学
作者
Kristina Schlicht,Lars Pape,Nathalie Rohmann,Carina Knappe,Johannes Epe,Corinna Geisler,Daniela Pohlschneider,Susanne Brodesser,Lucy Kruse,Maria-Elisabeth Rohlfing,Katharina Hartmann,Kathrin Türk,Jens Marquardt,Jan Beckmann,Witigo von Schönfels,Alexia Beckmann,Felix Braun,Dominik M. Schulte,Tim Hollstein,Tobias Demetrowitsch
出处
期刊:Gut microbes
[Landes Bioscience]
日期:2025-03-05
卷期号:17 (1)
标识
DOI:10.1080/19490976.2025.2474143
摘要
The interplay between bile acids (BAs) and metabolic diseases has gained importance in recent years, with a variety of studies investigating their relationship with diverging results. Therefore, in the present study we performed a detailed analysis of BA metabolism in 492 subjects with different metabolic phenotypes. Besides microbiomics and metabolomics this investigation included in silico analysis of community metabolism to examine metabolic interchange between different microbes as well as microbes and the human host. Our findings revealed distinct changes in the BA profiles of patients with diabetes and prediabetes, whereas obesity alone had no influence on circulating BAs. Impaired glycemic control led to increased circulating BAs, a shift toward more secondary BAs, and an increase in the ratio of glycine to taurine-conjugated BAs. Additional analyses revealed that the ratio of glycine to taurine conjugation demonstrated variations between the single BAs, cholic acid (CA), chenodeoxycholic acid (CDCA) and deoxycholic acid (DCA), regardless of the metabolic status, with CA having a higher fraction of taurine conjugation. Furthermore, we found that microbiome alterations are associated with BAs, independent of diabetes or obesity. Analysis of microbial community metabolism revealed differential relative pathway abundance in relation to diabetes, particularly those related to membrane and polyamine synthesis. Increased bacterial cross-feeding of polyamines, galactose, and D-arabinose also coincided with an increase in BA. Notably, our serum metabolome analysis mirrored several of the previously in silico predicted exchanged metabolites, especially amino acid metabolism. Therefore, targeting BA metabolism may be a future approach for the treatment of metabolic diseases, especially prediabetes and type 2 diabetes.
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