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The number of metabolic syndrome risk factors predicts alterations in gut microbiota in Chinese children from the Huantai study

BACKGROUND: Evidence on the effect of gut microbiota on the number of metabolic syndrome (MetS) risk factors among children is scarce. We aimed to examine the alterations of gut microbiota with different numbers of MetS risk factors among children. METHODS: Data were collected from a nested case–con...

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Autores principales: Sun, Jiahong, Ma, Xiaoyun, Yang, Liu, Jin, Xuli, Zhao, Min, Xi, Bo, Song, Suhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120097/
https://www.ncbi.nlm.nih.gov/pubmed/37085796
http://dx.doi.org/10.1186/s12887-023-04017-x
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author Sun, Jiahong
Ma, Xiaoyun
Yang, Liu
Jin, Xuli
Zhao, Min
Xi, Bo
Song, Suhang
author_facet Sun, Jiahong
Ma, Xiaoyun
Yang, Liu
Jin, Xuli
Zhao, Min
Xi, Bo
Song, Suhang
author_sort Sun, Jiahong
collection PubMed
description BACKGROUND: Evidence on the effect of gut microbiota on the number of metabolic syndrome (MetS) risk factors among children is scarce. We aimed to examine the alterations of gut microbiota with different numbers of MetS risk factors among children. METHODS: Data were collected from a nested case–control study at the baseline of the Huantai Childhood Cardiovascular Health Cohort Study in Zibo, China. We compared the differences in gut microbiota based on 16S rRNA gene sequencing among 72 children with different numbers of MetS risk factors matched by age and sex (i.e., none, one, and two-or-more MetS risk factors; 24 children for each group). RESULTS: The community richness (i.e., the total number of species in the community) and diversity (i.e., the richness and evenness of species in the community) of gut microbiota decreased with an increased number of MetS risk factors in children (P for trend < 0.05). Among genera with a relative abundance greater than 0.01%, the relative abundance of Lachnoclostridium (P(FDR) = 0.009) increased in the MetS risk groups, whereas Alistipes (P(FDR) < 0.001) and Lachnospiraceae_NK4A136_group (P(FDR) = 0.043) decreased in the MetS risk groups compared to the non-risk group. The genus Christensenellaceae_R-7_group excelled at distinguishing one and two-or-more risk groups from the non-risk group (area under the ROC curve [AUC]: 0.84 − 0.92), while the genera Family_XIII_AD3011_group (AUC: 0.73 − 0.91) and Lachnoclostridium (AUC: 0.77 − 0.80) performed moderate abilities in identifying none, one, and two-or-more MetS risk factors in children. CONCLUSIONS: Based on the nested case–control study and the 16S rRNA gene sequencing technology, we found that dysbiosis of gut microbiota, particularly for the genera Christensenellaceae_R-7_group, Family_XIII_AD3011_group, and Lachnoclostridium may contribute to the early detection and the accumulation of MetS risk factors in childhood. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-023-04017-x.
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spelling pubmed-101200972023-04-22 The number of metabolic syndrome risk factors predicts alterations in gut microbiota in Chinese children from the Huantai study Sun, Jiahong Ma, Xiaoyun Yang, Liu Jin, Xuli Zhao, Min Xi, Bo Song, Suhang BMC Pediatr Research Article BACKGROUND: Evidence on the effect of gut microbiota on the number of metabolic syndrome (MetS) risk factors among children is scarce. We aimed to examine the alterations of gut microbiota with different numbers of MetS risk factors among children. METHODS: Data were collected from a nested case–control study at the baseline of the Huantai Childhood Cardiovascular Health Cohort Study in Zibo, China. We compared the differences in gut microbiota based on 16S rRNA gene sequencing among 72 children with different numbers of MetS risk factors matched by age and sex (i.e., none, one, and two-or-more MetS risk factors; 24 children for each group). RESULTS: The community richness (i.e., the total number of species in the community) and diversity (i.e., the richness and evenness of species in the community) of gut microbiota decreased with an increased number of MetS risk factors in children (P for trend < 0.05). Among genera with a relative abundance greater than 0.01%, the relative abundance of Lachnoclostridium (P(FDR) = 0.009) increased in the MetS risk groups, whereas Alistipes (P(FDR) < 0.001) and Lachnospiraceae_NK4A136_group (P(FDR) = 0.043) decreased in the MetS risk groups compared to the non-risk group. The genus Christensenellaceae_R-7_group excelled at distinguishing one and two-or-more risk groups from the non-risk group (area under the ROC curve [AUC]: 0.84 − 0.92), while the genera Family_XIII_AD3011_group (AUC: 0.73 − 0.91) and Lachnoclostridium (AUC: 0.77 − 0.80) performed moderate abilities in identifying none, one, and two-or-more MetS risk factors in children. CONCLUSIONS: Based on the nested case–control study and the 16S rRNA gene sequencing technology, we found that dysbiosis of gut microbiota, particularly for the genera Christensenellaceae_R-7_group, Family_XIII_AD3011_group, and Lachnoclostridium may contribute to the early detection and the accumulation of MetS risk factors in childhood. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-023-04017-x. BioMed Central 2023-04-21 /pmc/articles/PMC10120097/ /pubmed/37085796 http://dx.doi.org/10.1186/s12887-023-04017-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Sun, Jiahong
Ma, Xiaoyun
Yang, Liu
Jin, Xuli
Zhao, Min
Xi, Bo
Song, Suhang
The number of metabolic syndrome risk factors predicts alterations in gut microbiota in Chinese children from the Huantai study
title The number of metabolic syndrome risk factors predicts alterations in gut microbiota in Chinese children from the Huantai study
title_full The number of metabolic syndrome risk factors predicts alterations in gut microbiota in Chinese children from the Huantai study
title_fullStr The number of metabolic syndrome risk factors predicts alterations in gut microbiota in Chinese children from the Huantai study
title_full_unstemmed The number of metabolic syndrome risk factors predicts alterations in gut microbiota in Chinese children from the Huantai study
title_short The number of metabolic syndrome risk factors predicts alterations in gut microbiota in Chinese children from the Huantai study
title_sort number of metabolic syndrome risk factors predicts alterations in gut microbiota in chinese children from the huantai study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120097/
https://www.ncbi.nlm.nih.gov/pubmed/37085796
http://dx.doi.org/10.1186/s12887-023-04017-x
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