Visuthranukul Chonnikant, Sriswasdi Sira, Tepaamorndech Surapun, Joyjinda Yutthana, Saengpanit Puthita, Kwanbunbumpen Tanisa, Panichsillaphakit Ekkarit, Uaariyapanichkul Jaraspong, Chomtho Sirinuch
Pediatric Nutrition Research Unit, Division of Nutrition, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.
Research Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.
J Nutr Metab. 2022 May 20;2022:3029582. doi: 10.1155/2022/3029582. eCollection 2022.
Dysbiosis of intestinal microbiota may be linked to pathogenesis of obesity and metabolic disorders.
This study compared the gut microbiome of obese Thai children with that of healthy controls and examined their relationships with host lifestyle, adiposity, and metabolic profiles.
This cross-sectional study enrolled obese children aged 7-15. Body composition was evaluated using bioelectrical impedance analysis. Stool samples were analyzed by 16S rRNA sequencing using the Illumina MiSeq platform. Relative abundance and alpha- and beta-diversity were compared with normal-weight Thai children from a previous publication using Wilcoxon rank-sum test and ANOSIM. Relationships of gut microbiota with lifestyle activity, body composition, and metabolic profiles were assessed by canonical correlation analysis (CCA) and Spearman correlation.
The study enrolled 164 obese children with a male percentage of 59%. Mean age was 10.4 ± 2.2 years with a BMI -score of 3.2 ± 1. The abundance of Bacteroidetes and Actinobacteria were found to be lower in obese children compared to nonobese children. Alpha-diversity indices showed no differences between groups, while beta-diversity revealed significant differences in the family and genus levels. CCA revealed significant correlations of the relative abundance of gut microbial phyla with sedentary lifestyle and certain metabolic markers. Univariate analysis revealed that Actinobacteria and were positively correlated with HDL-C and negatively correlated with body weight and screen time. Additionally, Actinobacteria was also negatively associated with fasting insulin and HOMA-IR. showed positive correlation with acanthosis nigricans and adiposity. Cooccurrence analysis revealed 90 significant bacterial copresence and mutual exclusion interactions among 43 genera in obese children, whereas only 2 significant cooccurrences were found in nonobese children.
The composition and diversity of gut microbiota in obese Thai children were different from those of their normal-weight peers. Specific gut microbiota were associated with lifestyle, adiposity, and metabolic features in obese children. An interventional study is needed to support causality between specific gut microbiota and obesity.
肠道微生物群失调可能与肥胖及代谢紊乱的发病机制有关。
本研究比较了肥胖泰国儿童与健康对照者的肠道微生物组，并研究了它们与宿主生活方式、肥胖程度及代谢特征的关系。
这项横断面研究纳入了7至15岁的肥胖儿童。采用生物电阻抗分析评估身体成分。使用Illumina MiSeq平台通过16S rRNA测序分析粪便样本。使用Wilcoxon秩和检验和ANOSIM，将相对丰度以及α-和β-多样性与先前发表的正常体重泰国儿童进行比较。通过典型相关分析（CCA）和Spearman相关性评估肠道微生物群与生活方式活动、身体成分及代谢特征的关系。
该研究纳入了164名肥胖儿童，其中男性占59%。平均年龄为10.4±2.2岁，BMI评分为3.2±1。与非肥胖儿童相比，肥胖儿童中拟杆菌门和放线菌门的丰度较低。α-多样性指数在两组之间无差异，而β-多样性在科和属水平上显示出显著差异。CCA显示肠道微生物门的相对丰度与久坐不动的生活方式和某些代谢标志物之间存在显著相关性。单因素分析显示，放线菌门与高密度脂蛋白胆固醇呈正相关，与体重和屏幕时间呈负相关。此外，放线菌门也与空腹胰岛素和胰岛素抵抗指数呈负相关。与黑棘皮病和肥胖呈正相关。共现分析显示，肥胖儿童中43个属之间有90种显著的细菌共存和相互排斥相互作用，而非肥胖儿童中仅发现2种显著的共存情况。
肥胖泰国儿童的肠道微生物群组成和多样性与其正常体重的同龄人不同。特定的肠道微生物群与肥胖儿童的生活方式、肥胖程度及代谢特征有关。需要进行一项干预性研究来支持特定肠道微生物群与肥胖之间的因果关系。
