Wang Hui, Zhuang Yixiao, Hua Rong, Yao Ting, Lin Kaiqing, Zhang Yitao, Huang Rui, Wang Ruwen, Guo Shanshan, Shen Qiwei, Shao Yikai, Wu Wei, Fan Linling, Feng Yonghao, Yao Qiyuan, Ye Hongying, Kong Xingxing, Zhang Qiongyue, Wang Ru, Liu Tiemin
Shanghai Key Laboratory of Metabolic Remodeling and Health, Institute of Metabolism and Integrative Biology, Fudan University, Shanghai, 200438 China.
State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, 200438 China.
Phenomics. 2024 Oct 28;5(2):137-153. doi: 10.1007/s43657-024-00165-x. eCollection 2025 Apr.
Sedentary behavior for two years during the coronavirus disease 2019 (COVID-19) pandemic contributes to weight gain. Gut microbiota and blood metabolome are related to body mass index (BMI) and indicate individual metabolic changes. Surgery and exercise are effective weight-loss methods. The precise plasma metabolites and gut microbiota biomarkers involved and the underlying mechanisms are still largely unclear. To address this issue, we analyzed weight gain and weight loss cohorts to identify biomarkers associated with obesity. In the sedentary cohort, 49 subjects were recruited in year 2019. After two years of sedentary behavior during the COVID-19 pandemic, the BMI of 24 subjects significantly increased (Weight gain group), while that of the remnant 25 subjects remained constant (Maintaining weight group). At baseline and two years post baseline, the gut microbiota and blood metabolome, as well as body composition and clinical indicators, were all collected. In weight loss studies, we analyze the plasma metabolome of the two cohorts, including individuals who underwent laparoscopic sleeve gastrectomy (LSG) surgery and exercise intervention. Weight gain through sedentary behavior contributed to the variation of the gut microbiota and plasma metabolites composition. Creatine, phenylalanine and tyrosine exhibited significant positive associations with BMI and fat mass. We further confirmed the association between BMI and plasma metabolites in two weight loss cohorts. By utilizing a linear regression model, we found that 10 metabolites including creatine were correlated with BMI in weight loss individuals. Based on receiver operating characteristic (ROC) curves, creatine exhibited a satisfactory classification performance in regard to predicting weight reduction (AUC = 0.890, AUC = 0.840). Moreover, some gut microbiota, including = and could affect BMI through the mediating factor of creatine.
The online version contains supplementary material available at 10.1007/s43657-024-00165-x.
在2019冠状病毒病（COVID-19）大流行期间持续两年的久坐行为会导致体重增加。肠道微生物群和血液代谢组与体重指数（BMI）相关，并表明个体代谢变化。手术和运动是有效的减肥方法。所涉及的精确血浆代谢物和肠道微生物群生物标志物及其潜在机制仍 largely不清楚。为了解决这个问题，我们分析了体重增加和体重减轻队列以识别与肥胖相关的生物标志物。在久坐队列中，2019年招募了49名受试者。在COVID-19大流行期间经过两年的久坐行为后，24名受试者的BMI显著增加（体重增加组），而其余25名受试者的BMI保持不变（维持体重组）。在基线和基线后两年，收集了肠道微生物群、血液代谢组以及身体成分和临床指标。在减肥研究中，我们分析了两个队列的血浆代谢组，包括接受腹腔镜袖状胃切除术（LSG）手术和运动干预的个体。久坐行为导致的体重增加促成了肠道微生物群和血浆代谢物组成的变化。肌酸、苯丙氨酸和酪氨酸与BMI和脂肪量呈显著正相关。我们在两个减肥队列中进一步证实了BMI与血浆代谢物之间的关联。通过使用线性回归模型，我们发现包括肌酸在内的10种代谢物与减肥个体的BMI相关。基于受试者工作特征（ROC）曲线，肌酸在预测体重减轻方面表现出令人满意的分类性能（AUC = 0.890，AUC = 0.840）。此外，一些肠道微生物群，包括 = 和 可以通过肌酸的介导因素影响BMI。
在线版本包含可在10.1007/s43657-024-00165-x获取的补充材料。
