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Predictors of Obesity among Gut Microbiota Biomarkers in African American Men with and without Diabetes
Gut microbiota and their biomarkers may be associated with obesity. This study evaluated associations of body mass index (BMI) with circulating microbiota biomarkers in African American men (AAM) (n = 75). The main outcomes included fecal microbial community structure (16S rRNA), gut permeability bi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6780321/ https://www.ncbi.nlm.nih.gov/pubmed/31491976 http://dx.doi.org/10.3390/microorganisms7090320 |
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author | Barengolts, Elena Green, Stefan J. Chlipala, George E. Layden, Brian T. Eisenberg, Yuval Priyadarshini, Medha Dugas, Lara R. |
author_facet | Barengolts, Elena Green, Stefan J. Chlipala, George E. Layden, Brian T. Eisenberg, Yuval Priyadarshini, Medha Dugas, Lara R. |
author_sort | Barengolts, Elena |
collection | PubMed |
description | Gut microbiota and their biomarkers may be associated with obesity. This study evaluated associations of body mass index (BMI) with circulating microbiota biomarkers in African American men (AAM) (n = 75). The main outcomes included fecal microbial community structure (16S rRNA), gut permeability biomarkers (ELISA), and short-chain fatty acids (SCFAs, metabolome analysis). These outcomes were compared between obese and non-obese men, after adjusting for age. The results showed that lipopolysaccharide-binding protein (LBP), the ratio of LBP to CD14 (LBP/CD14), and SCFAs (propionic, butyric, isovaleric) were higher in obese (n = 41, age 58 years, BMI 36 kg/m(2)) versus non-obese (n = 34, age 55 years, BMI 26 kg/m(2)) men. BMI correlated positively with LBP, LBP/CD14 (p < 0.05 for both) and SCFAs (propionic, butyric, isovaleric, p < 0.01 for all). In the regression analysis, LBP, LBP/CD14, propionic and butyric acids were independent determinants of BMI. The study showed for the first time that selected microbiota biomarkers (LBP, LBP/CD14, propionic and butyric acids) together with several other relevant risks explained 39%–47% of BMI variability, emphasizing that factors other than microbiota-related biomarkers could be important. Further research is needed to provide clinical and mechanistic insight into microbiota biomarkers and their utility for diagnostic and therapeutic purposes. |
format | Online Article Text |
id | pubmed-6780321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67803212019-10-30 Predictors of Obesity among Gut Microbiota Biomarkers in African American Men with and without Diabetes Barengolts, Elena Green, Stefan J. Chlipala, George E. Layden, Brian T. Eisenberg, Yuval Priyadarshini, Medha Dugas, Lara R. Microorganisms Article Gut microbiota and their biomarkers may be associated with obesity. This study evaluated associations of body mass index (BMI) with circulating microbiota biomarkers in African American men (AAM) (n = 75). The main outcomes included fecal microbial community structure (16S rRNA), gut permeability biomarkers (ELISA), and short-chain fatty acids (SCFAs, metabolome analysis). These outcomes were compared between obese and non-obese men, after adjusting for age. The results showed that lipopolysaccharide-binding protein (LBP), the ratio of LBP to CD14 (LBP/CD14), and SCFAs (propionic, butyric, isovaleric) were higher in obese (n = 41, age 58 years, BMI 36 kg/m(2)) versus non-obese (n = 34, age 55 years, BMI 26 kg/m(2)) men. BMI correlated positively with LBP, LBP/CD14 (p < 0.05 for both) and SCFAs (propionic, butyric, isovaleric, p < 0.01 for all). In the regression analysis, LBP, LBP/CD14, propionic and butyric acids were independent determinants of BMI. The study showed for the first time that selected microbiota biomarkers (LBP, LBP/CD14, propionic and butyric acids) together with several other relevant risks explained 39%–47% of BMI variability, emphasizing that factors other than microbiota-related biomarkers could be important. Further research is needed to provide clinical and mechanistic insight into microbiota biomarkers and their utility for diagnostic and therapeutic purposes. MDPI 2019-09-05 /pmc/articles/PMC6780321/ /pubmed/31491976 http://dx.doi.org/10.3390/microorganisms7090320 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Barengolts, Elena Green, Stefan J. Chlipala, George E. Layden, Brian T. Eisenberg, Yuval Priyadarshini, Medha Dugas, Lara R. Predictors of Obesity among Gut Microbiota Biomarkers in African American Men with and without Diabetes |
title | Predictors of Obesity among Gut Microbiota Biomarkers in African American Men with and without Diabetes |
title_full | Predictors of Obesity among Gut Microbiota Biomarkers in African American Men with and without Diabetes |
title_fullStr | Predictors of Obesity among Gut Microbiota Biomarkers in African American Men with and without Diabetes |
title_full_unstemmed | Predictors of Obesity among Gut Microbiota Biomarkers in African American Men with and without Diabetes |
title_short | Predictors of Obesity among Gut Microbiota Biomarkers in African American Men with and without Diabetes |
title_sort | predictors of obesity among gut microbiota biomarkers in african american men with and without diabetes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6780321/ https://www.ncbi.nlm.nih.gov/pubmed/31491976 http://dx.doi.org/10.3390/microorganisms7090320 |
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