1. Analysis of correlations between gut microbiota, stool short chain fatty acids, calprotectin and cardiometabolic risk factors in postmenopausal women with obesity: a cross-sectional study
- Author
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Igor Łoniewski, Monika Szulińska, Mariusz Kaczmarczyk, Konrad Podsiadło, Daniel Styburski, Karolina Skonieczna-Żydecka, and Paweł Bogdański
- Subjects
Cross-Sectional Studies ,Bacteria ,RNA, Ribosomal, 16S ,Humans ,Cardiometabolic Risk Factors ,Female ,Obesity ,General Medicine ,Fatty Acids, Volatile ,Leukocyte L1 Antigen Complex ,General Biochemistry, Genetics and Molecular Biology - Abstract
Background Microbiota and its metabolites are known to regulate host metabolism. In cross-sectional study conducted in postmenopausal women we aimed to assess whether the microbiota, its metabolites and gut barrier integrity marker are correlated with cardiometabolic risk factors and if microbiota is different between obese and non-obese subjects. Methods We analysed the faecal microbiota of 56 obese, postmenopausal women by means of 16S rRNA analysis. Stool short chain fatty acids, calprotectin and anthropometric, physiological and biochemical parameters were correlates to microbiome analyses. Results Alpha-diversity was inversely correlated with lipopolysaccharide (Rho = − 0.43, FDR P (Q) = 0.004). Bray–Curtis distance based RDA revealed that visceral fat and waist circumference had a significant impact on metabolic potential (P = 0.003). Plasma glucose was positively correlated with the Coriobacteriaceae (Rho = 0.48, Q = 0.004) and its higher taxonomic ranks, up to phylum (Actinobacteria, Rho = 0.46, Q = 0.004). At the metabolic level, the strongest correlation was observed for the visceral fat (Q Conclusions Microbiota composition and metabolic potential are associated with some CMRF and fecal SCFAs concentration in obese postmenopausal women. There is no unequivocal relationship between fecal SCFAs and the marker of intestinal barrier integrity and CMRF. Further studies with appropriately matched control groups are warranted to look for causality between SCFAs and CMRF.
- Published
- 2022
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