Yu Zhongjia, Yu Xiang-Fang, Zhao Xiu, Su Zhe, Ren Pei-Gen
Center for Energy Metabolism and Reproduction, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China.
Front Pediatr. 2023 Jan 26;11:1087401. doi: 10.3389/fped.2023.1087401. eCollection 2023.
The children's gut microbiota, associated with the development of obesity, is in maturation. The impact of obesity on the gut microbiota in childhood could have a more significant effect than on adulthood and eventually be lifelong lasting, but it has been rarely studied. Aimed to discover the difference in gut microbiota between children and adults with obesity, we collected published amplicon sequencing data from National Center for Biotechnology Information (NCBI) and re-analyzed them using a uniform bioinformatic pipeline, as well as predicted the obesity using gut microbiota based on the random forest model. Summarizing common points among these cohorts, we found that the gut microbiota had a significant difference between children with and without obesity, but this difference was not observed in adult cohorts. Based on the random forest model, it was more challenging to predict childhood obesity using gut microbiota than adulthood obesity. Our results suggest that gut microbiota in childhood is more easily affected than in adulthood. Early intervention for childhood obesity is essential to improve children's health and lifelong gut microbiota-related health.
与肥胖发展相关的儿童肠道微生物群正在成熟。肥胖对儿童肠道微生物群的影响可能比对成年人的影响更大,且最终会持续一生,但这方面的研究很少。为了发现肥胖儿童和成人肠道微生物群的差异,我们从美国国立生物技术信息中心(NCBI)收集了已发表的扩增子测序数据,并使用统一的生物信息学流程对其进行重新分析,同时基于随机森林模型利用肠道微生物群预测肥胖情况。总结这些队列中的共同点,我们发现肥胖儿童和非肥胖儿童的肠道微生物群存在显著差异,但在成人队列中未观察到这种差异。基于随机森林模型,利用肠道微生物群预测儿童肥胖比预测成人肥胖更具挑战性。我们的结果表明,儿童时期的肠道微生物群比成年时期更容易受到影响。对儿童肥胖进行早期干预对于改善儿童健康以及与肠道微生物群相关的终身健康至关重要。