Detalle Publicación


A predictive regression model of the obesity-related inflammatory status based on gut microbiota composition

ISSN: 0307-0565
Volumen: 45
Número: 10
Páginas: 0307-0565
Fecha de publicación: 2021
Background and aim Fecal microbiome disturbances are linked to different human diseases. In the case of obesity, gut microbiota seems to play a role in the development of low-grade inflammation. The purpose of the present study was to identify specific bacterial families and genera associated with an increased obesity-related inflammatory status, which would allow to build a regression model for the prediction of the inflammatory status of obese and overweight subjects based on fecal microorganisms. Methods A total of 361 volunteers from the Obekit trial (65 normal-weight, 110 overweight, and 186 obese) were classified according to four variables: waist/hip ratio (>= 0.86 for women and >= 1.00 for men), leptin/adiponectin ratio (LAR, >= 3.0 for women and >= 1.4 for men), and plasma C-reactive protein (>= 2 mg/L) and TNF levels (>= 0.85 pg/mL). An inflammation score was designed to classify individuals in low (those subjects who did exceed the threshold value in 0 or 1 variable) or high inflammatory index (those subjects who did exceed the threshold value in 2 or more variables). Fecal 16 S rRNA sequencing was performed for all participants, and differential abundance analyses for family and genera were performed using the MicrobiomeAnalyst web-based platform. Results Methanobacteriaceae, Christensenellaceae, Coriobacteriaceae, Bifidobacteriaceae, Catabacteriaceae, and Dehalobacteriaceae families, and Methanobrevibacter, Eggerthella, Gemmiger, Anaerostipes, and Collinsella gen