Health Sciences Institute, China Medical University, Shenyang 110122, Liaoning Province, PR China; Liaoning Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang 110122, Liaoning Province, PR China.
Health Sciences Institute, China Medical University, Shenyang 110122, Liaoning Province, PR China; Liaoning Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang 110122, Liaoning Province, PR China; Institute of Life Sciences, China Medical University, Shenyang 110122, Liaoning Province, PR China.
Clin Nutr. 2022 Dec;41(12):2706-2719. doi: 10.1016/j.clnu.2022.10.009. Epub 2022 Oct 21.
BACKGROUND & AIMS: The interplay among dietary intake, gut microbiota, gut metabolites and circulating metabolites in adolescents is barely known, not to mention sex-dependent pattern. We aimed to explore unique profiles of gut bacterial, gut metabolites and circulating metabolites from both genders of adolescents due to BMI and eating pattern.
Clinical indices, fecal gut microbiota, fecal and plasma metabolites, and diet intake information were collected in case-control sample matched for normal and obesity in girls (normal = 12, obesity = 12) and boys (normal = 20, obesity = 20), respectively. 16S rRNA gene sequencing and untargeted metabolomics was performed to analysis the signature of gut microbiota and metabolites. Unique profiles of girls associated with BMI and eating pattern was revealed by Spearman's correlations analysis, co-occurrence network analysis, Kruskal-Wallis test, and Wilcoxon rank-sum test.
Gender difference was found between normal and obese adolescents in gut microbiota, fecal metabolites, and plasma metabolites. The Parabacteroides were only decreased in obese girls. And the characteristic of obese girls' and boys' cases in fecal and plasma was xanthine and glutamine, ornithine and LCA, respectively. Soy products intake was negatively associated with Parabacteroides. The predicted model has a higher accuracy based on the combined markers in obesity boys (AUC = 0.97) and girls (AUC = 0.97), respectively.
Reduced abundance of Phascolarctobacterium and Parabacteroides, as well as the increased fecal xanthine and ornithine, may provide a novel biomarker signature in obesity girls and boys. Soy products intake was positively and negatively associated with Romboutsia and Parabacteroides abundance, respectively. And the combined markers facilitate the accuracy of predicting obesity in girls and boys in advance.
青少年的饮食摄入、肠道微生物群、肠道代谢物和循环代谢物之间的相互作用知之甚少，更不用说性别依赖性模式了。我们旨在探索由于 BMI 和饮食模式，青少年男女肠道细菌、肠道代谢物和循环代谢物的独特特征。
在女孩（正常= 12，肥胖= 12）和男孩（正常= 20，肥胖= 20）中，分别对正常和肥胖的病例对照样本进行了临床指标、粪便肠道微生物群、粪便和血浆代谢物以及饮食摄入信息的收集。采用 16S rRNA 基因测序和非靶向代谢组学分析肠道微生物群和代谢物的特征。通过 Spearman 相关分析、共现网络分析、Kruskal-Wallis 检验和 Wilcoxon 秩和检验揭示了与 BMI 和饮食模式相关的女孩的独特特征。
正常和肥胖青少年的肠道微生物群、粪便代谢物和血浆代谢物存在性别差异。肥胖女孩的拟杆菌属仅减少。而肥胖女孩和男孩粪便和血浆的特征分别是黄嘌呤和谷氨酰胺、鸟氨酸和 LCA。豆制品的摄入量与拟杆菌属呈负相关。基于肥胖男孩（AUC=0.97）和女孩（AUC=0.97）的组合标志物，预测模型的准确性更高。
减少 Phascolarctobacterium 和 Parabacteroides 的丰度，以及增加粪便黄嘌呤和鸟氨酸，可能为肥胖女孩和男孩提供一种新的生物标志物特征。豆制品的摄入量与 Romboutsia 和 Parabacteroides 的丰度呈正相关和负相关。并且组合标志物有助于提高女孩和男孩肥胖预测的准确性。
Zotero 插件