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• W4360618312 abstract "The relationship between the gut microbiota, short chain fatty acid (SCFA) metabolism, and obesity remains unclear due to conflicting reports from studies with limited statistical power. Additionally, this association has rarely been explored in large scale diverse populations. Here, we investigated associations between fecal microbial composition, predicted metabolic potential, SCFA concentrations, and obesity in a large ( N = 1,934) adult cohort of African-origin spanning the epidemiologic transition, from Ghana, South Africa, Jamaica, Seychelles, and the United States (US). The greatest gut microbiota diversity and total fecal SCFA concentration was found in the Ghanaian population, while the lowest levels were found in the US population, respectively representing the lowest and the highest end of the epidemiologic transition spectrum. Country-specific bacterial taxa and predicted-functional pathways were observed, including an increased prevalence of Prevotella , Butyrivibrio , Weisella and Romboutsia in Ghana and South Africa, while Bacteroides and Parabacteroides were enriched in Jamaican and the US populations. Importantly, 'VANISH' taxa, including Butyricicoccus and Succinivibrio , were significantly enriched in the Ghanaian cohort, reflecting the participants' traditional lifestyles. Obesity was significantly associated with lower SCFA concentrations, a decrease in microbial richness, and dissimilarities in community composition, and reduction in the proportion of SCFA synthesizing bacteria including Oscillospira , Christensenella , Eubacterium , Alistipes , Clostridium and Odoribacter . Further, the predicted proportions of genes in the lipopolysaccharide (LPS) synthesis pathway were enriched in obese individuals, while genes associated with butyrate synthesis via the dominant pyruvate pathway were significantly reduced in obese individuals. Using machine learning, we identified features predictive of metabolic state and country of origin. Country of origin could accurately be predicted by the fecal microbiota (AUC = 0.97), whereas obesity could not be predicted as accurately (AUC = 0.65). Participant sex (AUC = 0.75), diabetes status (AUC = 0.63), hypertensive status (AUC = 0.65), and glucose status (AUC = 0.66) could all be predicted with different success. Interestingly, within country, the predictive accuracy of the microbiota for obesity was inversely correlated to the epidemiological transition, being greatest in Ghana (AUC = 0.57). Collectively, our findings reveal profound variation in the gut microbiota, inferred functional pathways, and SCFA synthesis as a function of country of origin. While obesity could be predicted accurately from the microbiota, the variation in accuracy in parallel with the epidemiological transition suggests that differences in the microbiota between obesity and non-obesity may be larger in low-to-middle countries compared to high-income countries. Further examination of independent study populations using multi-omic approaches will be necessary to determine the factors that drive this association." @default.
• W4360618312 created "2023-03-24" @default.
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• W4360618312 date "2023-03-22" @default.
• W4360618312 modified "2023-10-18" @default.
• W4360618312 title "Gut microbiota and fecal short chain fatty acids differ with adiposity and country of origin: The METS-Microbiome Study" @default.
• W4360618312 cites W1568043102 @default.
• W4360618312 cites W1793035576 @default.
• W4360618312 cites W1964027278 @default.
• W4360618312 cites W1966335258 @default.
• W4360618312 cites W1968105193 @default.
• W4360618312 cites W1971415551 @default.
• W4360618312 cites W1982319117 @default.
• W4360618312 cites W1985574696 @default.
• W4360618312 cites W1986189475 @default.
• W4360618312 cites W1988177479 @default.
• W4360618312 cites W1989830348 @default.
• W4360618312 cites W1991743044 @default.
• W4360618312 cites W1993399595 @default.
• W4360618312 cites W2004549986 @default.
• W4360618312 cites W2005801109 @default.
• W4360618312 cites W2019419945 @default.
• W4360618312 cites W2020276696 @default.
• W4360618312 cites W2023615726 @default.
• W4360618312 cites W2028582941 @default.
• W4360618312 cites W2031893281 @default.
• W4360618312 cites W2032230795 @default.
• W4360618312 cites W2033900229 @default.
• W4360618312 cites W2038217946 @default.
• W4360618312 cites W2042074642 @default.
• W4360618312 cites W2045601755 @default.
• W4360618312 cites W2055219298 @default.
• W4360618312 cites W2056279562 @default.
• W4360618312 cites W2057411492 @default.
• W4360618312 cites W2071841602 @default.
• W4360618312 cites W2073332363 @default.
• W4360618312 cites W2082509173 @default.
• W4360618312 cites W2083119809 @default.
• W4360618312 cites W2083717261 @default.
• W4360618312 cites W2087278385 @default.
• W4360618312 cites W2087292184 @default.
• W4360618312 cites W2088209062 @default.
• W4360618312 cites W2089586473 @default.
• W4360618312 cites W2095854550 @default.
• W4360618312 cites W2101209169 @default.
• W4360618312 cites W2102538757 @default.
• W4360618312 cites W2104164296 @default.
• W4360618312 cites W2106348916 @default.
• W4360618312 cites W2115195275 @default.
• W4360618312 cites W2124865641 @default.
• W4360618312 cites W2127013413 @default.
• W4360618312 cites W2128601422 @default.
• W4360618312 cites W2129690444 @default.
• W4360618312 cites W2129917444 @default.
• W4360618312 cites W2131536322 @default.
• W4360618312 cites W2133360663 @default.
• W4360618312 cites W2136500114 @default.
• W4360618312 cites W2140951166 @default.
• W4360618312 cites W2149573313 @default.
• W4360618312 cites W2162088497 @default.
• W4360618312 cites W2163940893 @default.
• W4360618312 cites W2166662735 @default.
• W4360618312 cites W2167062509 @default.
• W4360618312 cites W2170024099 @default.
• W4360618312 cites W2214388745 @default.
• W4360618312 cites W2228687373 @default.
• W4360618312 cites W2279707184 @default.
• W4360618312 cites W2295209873 @default.
• W4360618312 cites W2299913967 @default.
• W4360618312 cites W2303015818 @default.
• W4360618312 cites W2328023807 @default.
• W4360618312 cites W2339765445 @default.
• W4360618312 cites W2342540743 @default.
• W4360618312 cites W2344543878 @default.
• W4360618312 cites W2397246897 @default.
• W4360618312 cites W2409656339 @default.
• W4360618312 cites W2465534016 @default.
• W4360618312 cites W2492067870 @default.
• W4360618312 cites W2521421819 @default.
• W4360618312 cites W2528922988 @default.
• W4360618312 cites W2557766453 @default.
• W4360618312 cites W2566680380 @default.
• W4360618312 cites W2588346809 @default.
• W4360618312 cites W2593591803 @default.
• W4360618312 cites W2620275008 @default.
• W4360618312 cites W2663374310 @default.

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