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Comparative analysis of gut microbiota associated with body mass index in a large Korean cohort

BACKGROUND: Gut microbiota plays an important role in the harvesting, storage, and expenditure of energy obtained from one’s diet. Our cross-sectional study aimed to identify differences in gut microbiota according to body mass index (BMI) in a Korean population. 16S rRNA gene sequence data from 146...

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Autores principales: Yun, Yeojun, Kim, Han-Na, Kim, Song E., Heo, Seong Gu, Chang, Yoosoo, Ryu, Seungho, Shin, Hocheol, Kim, Hyung-Lae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5497371/
https://www.ncbi.nlm.nih.gov/pubmed/28676106
http://dx.doi.org/10.1186/s12866-017-1052-0
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author Yun, Yeojun
Kim, Han-Na
Kim, Song E.
Heo, Seong Gu
Chang, Yoosoo
Ryu, Seungho
Shin, Hocheol
Kim, Hyung-Lae
author_facet Yun, Yeojun
Kim, Han-Na
Kim, Song E.
Heo, Seong Gu
Chang, Yoosoo
Ryu, Seungho
Shin, Hocheol
Kim, Hyung-Lae
author_sort Yun, Yeojun
collection PubMed
description BACKGROUND: Gut microbiota plays an important role in the harvesting, storage, and expenditure of energy obtained from one’s diet. Our cross-sectional study aimed to identify differences in gut microbiota according to body mass index (BMI) in a Korean population. 16S rRNA gene sequence data from 1463 subjects were categorized by BMI into normal, overweight, and obese groups. Fecal microbiotas were compared to determine differences in diversity and functional inference analysis related with BMI. The correlation between genus-level microbiota and BMI was tested using zero-inflated Gaussian mixture models, with or without covariate adjustment of nutrient intake. RESULTS: We confirmed differences between 16Sr RNA gene sequencing data of each BMI group, with decreasing diversity in the obese compared with the normal group. According to analysis of inferred metagenomic functional content using PICRUSt algorithm, a highly significant discrepancy in metabolism and immune functions (P < 0.0001) was predicted in the obese group. Differential taxonomic components in each BMI group were greatly affected by nutrient adjustment, whereas signature bacteria were not influenced by nutrients in the obese compared with the overweight group. CONCLUSIONS: We found highly significant statistical differences between normal, overweight and obese groups using a large sample size with or without diet confounding factors. Our informative dataset sheds light on the epidemiological study on population microbiome. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12866-017-1052-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-54973712017-07-07 Comparative analysis of gut microbiota associated with body mass index in a large Korean cohort Yun, Yeojun Kim, Han-Na Kim, Song E. Heo, Seong Gu Chang, Yoosoo Ryu, Seungho Shin, Hocheol Kim, Hyung-Lae BMC Microbiol Research Article BACKGROUND: Gut microbiota plays an important role in the harvesting, storage, and expenditure of energy obtained from one’s diet. Our cross-sectional study aimed to identify differences in gut microbiota according to body mass index (BMI) in a Korean population. 16S rRNA gene sequence data from 1463 subjects were categorized by BMI into normal, overweight, and obese groups. Fecal microbiotas were compared to determine differences in diversity and functional inference analysis related with BMI. The correlation between genus-level microbiota and BMI was tested using zero-inflated Gaussian mixture models, with or without covariate adjustment of nutrient intake. RESULTS: We confirmed differences between 16Sr RNA gene sequencing data of each BMI group, with decreasing diversity in the obese compared with the normal group. According to analysis of inferred metagenomic functional content using PICRUSt algorithm, a highly significant discrepancy in metabolism and immune functions (P < 0.0001) was predicted in the obese group. Differential taxonomic components in each BMI group were greatly affected by nutrient adjustment, whereas signature bacteria were not influenced by nutrients in the obese compared with the overweight group. CONCLUSIONS: We found highly significant statistical differences between normal, overweight and obese groups using a large sample size with or without diet confounding factors. Our informative dataset sheds light on the epidemiological study on population microbiome. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12866-017-1052-0) contains supplementary material, which is available to authorized users. BioMed Central 2017-07-04 /pmc/articles/PMC5497371/ /pubmed/28676106 http://dx.doi.org/10.1186/s12866-017-1052-0 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Yun, Yeojun
Kim, Han-Na
Kim, Song E.
Heo, Seong Gu
Chang, Yoosoo
Ryu, Seungho
Shin, Hocheol
Kim, Hyung-Lae
Comparative analysis of gut microbiota associated with body mass index in a large Korean cohort
title Comparative analysis of gut microbiota associated with body mass index in a large Korean cohort
title_full Comparative analysis of gut microbiota associated with body mass index in a large Korean cohort
title_fullStr Comparative analysis of gut microbiota associated with body mass index in a large Korean cohort
title_full_unstemmed Comparative analysis of gut microbiota associated with body mass index in a large Korean cohort
title_short Comparative analysis of gut microbiota associated with body mass index in a large Korean cohort
title_sort comparative analysis of gut microbiota associated with body mass index in a large korean cohort
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5497371/
https://www.ncbi.nlm.nih.gov/pubmed/28676106
http://dx.doi.org/10.1186/s12866-017-1052-0
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