The number of metabolic syndrome risk factors predicts alterations in gut microbiota in Chinese children from the Huantai study
Abstract 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 c...
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| Format: | Article |
| Language: | English |
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BMC
2023-04-01
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| Series: | BMC Pediatrics |
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| Online Access: | https://doi.org/10.1186/s12887-023-04017-x |
| _version_ | 1797840837947686912 |
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| author | Jiahong Sun Xiaoyun Ma Liu Yang Xuli Jin Min Zhao Bo Xi Suhang Song |
| author_facet | Jiahong Sun Xiaoyun Ma Liu Yang Xuli Jin Min Zhao Bo Xi Suhang Song |
| author_sort | Jiahong Sun |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-04-09T16:21:16Z |
| format | Article |
| id | doaj.art-25169f88b10c4813aca37d50c627cea8 |
| institution | Directory Open Access Journal |
| issn | 1471-2431 |
| language | English |
| last_indexed | 2024-04-09T16:21:16Z |
| publishDate | 2023-04-01 |
| publisher | BMC |
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| series | BMC Pediatrics |
| spelling | doaj.art-25169f88b10c4813aca37d50c627cea82023-04-23T11:28:23ZengBMCBMC Pediatrics1471-24312023-04-0123111210.1186/s12887-023-04017-xThe number of metabolic syndrome risk factors predicts alterations in gut microbiota in Chinese children from the Huantai studyJiahong Sun0Xiaoyun Ma1Liu Yang2Xuli Jin3Min Zhao4Bo Xi5Suhang Song6Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong UniversityDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong UniversityDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong UniversityDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong UniversityDepartment of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong UniversityDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong UniversityTaub Institute for Research in Alzheimer ’s disease and the Aging Brain, Columbia UniversityAbstract 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.https://doi.org/10.1186/s12887-023-04017-xMetabolic syndromeChildrenGut microbiota16S rRNA |
| spellingShingle | Jiahong Sun Xiaoyun Ma Liu Yang Xuli Jin Min Zhao Bo Xi Suhang Song The number of metabolic syndrome risk factors predicts alterations in gut microbiota in Chinese children from the Huantai study BMC Pediatrics Metabolic syndrome Children Gut microbiota 16S rRNA |
| 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 | Metabolic syndrome Children Gut microbiota 16S rRNA |
| url | https://doi.org/10.1186/s12887-023-04017-x |
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