Zhang Xiaofan, Guan Fangxu, Gou Wanglong, Wang Qi, Du Shufa, Su Chang, Zhang Jiguo, Zheng Ju-Sheng, Wang Huijun, Zhang Bing
National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Key Laboratory of Public Nutrition and Health, National Health Commission of the People's Republic of China, Beijing, China.
mSystems. 2025 May 20;10(5):e0024325. doi: 10.1128/msystems.00243-25. Epub 2025 Apr 28.
Evidence is insufficient to establish a longitudinal association between combined trajectories of body mass index (BMI) and waist circumference (WC) and dyslipidemia. This study investigated the associations between multi-trajectories of BMI and WC over 24 years and the subsequent risk of dyslipidemia in a large cohort of 10,678 Chinese adults from the China Health and Nutrition Survey. Utilizing a group-based trajectory model, we identified four distinct trajectories: normal, normal-increasing, overweight-increasing, and obesity-increasing. Our results indicated that ascending trajectories of BMI and WC are significantly associated with increased odds of dyslipidemia, particularly in males, with odds ratios (OR) of 2.10, 2.69, and 3.56 for the normal-increasing, overweight-increasing, and obesity-increasing groups, respectively. Among females, the normal-increasing group exhibited a significant increased risk (OR: 1.54). Furthermore, we explored the gut microbiota associated with these trajectories, identifying 3, 8, and 4 bacterial genera linked to increasing BMI and WC in males, alongside two genera in females with the normal-increasing trajectory. We identified a total of 23, 25, and 10 differential metabolites significantly associated with these genera, except for Group 2 in males. The inclusion of relevant microbiome and metabolite data improved the model's predictive capacity for the risk of dyslipidemia, with ROC values increasing from 0.655 to 0.875. Our findings underscore the critical implications of continuous weight gain on metabolic health and suggest that gut microbiota may play a pivotal role in understanding these associations.IMPORTANCEEmerging evidence suggests a close connection between the gut microbiome and both human obesity and dyslipidemia, suggesting that the gut microbiome may play an important role in the obesity-dyslipidemia relationship. In this study, we observed several characteristic genera, including , , and CHKCI002 among males and and among females, which were negatively associated with high-risk trajectories. They were also related to free fatty acids (FFAs) and oxidized lipid metabolites. These shared and unique gut microbial and metabolic signatures among combined trajectories of BMI and WC with a higher risk of dyslipidemia could provide important evidence for the omics mechanism pathway of long-term obesity trend leading to dyslipidemia.
证据不足,无法确定体重指数(BMI)与腰围(WC)的联合轨迹与血脂异常之间的纵向关联。本研究在中国健康与营养调查的10678名中国成年人队列中,调查了24年间BMI和WC的多轨迹与随后血脂异常风险之间的关联。利用基于群体的轨迹模型,我们确定了四种不同的轨迹:正常、正常增加、超重增加和肥胖增加。我们的结果表明,BMI和WC的上升轨迹与血脂异常几率增加显著相关,尤其是在男性中,正常增加、超重增加和肥胖增加组的优势比(OR)分别为2.10、2.69和3.56。在女性中,正常增加组的风险显著增加(OR:1.54)。此外,我们探索了与这些轨迹相关的肠道微生物群,在男性中确定了3种、8种和4种与BMI和WC增加相关的细菌属,在女性的正常增加轨迹中确定了2种。我们总共确定了23种、25种和10种与这些属显著相关的差异代谢物,男性的第2组除外。纳入相关的微生物组和代谢物数据提高了模型对血脂异常风险的预测能力,ROC值从0.655增加到0.875。我们的研究结果强调了持续体重增加对代谢健康的关键影响,并表明肠道微生物群可能在理解这些关联中起关键作用。重要性新出现的证据表明,肠道微生物群与人类肥胖和血脂异常都密切相关,这表明肠道微生物群可能在肥胖-血脂异常关系中起重要作用。在本研究中,我们观察到几个特征属,包括男性中的、和CHKCI002,以及女性中的和,它们与高风险轨迹呈负相关。它们还与游离脂肪酸(FFA)和氧化脂质代谢物有关。在BMI和WC联合轨迹中具有较高血脂异常风险的这些共同和独特的肠道微生物和代谢特征,可为长期肥胖趋势导致血脂异常的组学机制途径提供重要证据。