Evidence map›Paper›PMID 41029580›Full record

ArticleBMC public health2025

Long-term body mass index trajectories and dyslipidemia and related gut microbial features: results from the China health and nutrition survey 1991-2018.

Fangxu Guan, Xiaofan Zhang, Wanglong Gou, Qi Wang, Shufa Du, Chang Su, Xiaofang Jia, Jusheng Zheng, Huijun Wang, Gangqing Ding

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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10 authors.

Fangxu Guan *National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Xiaofan Zhang *National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Wanglong GouSchool of Life Sciences, Westlake University, Hangzhou, China.
Qi WangChaoyang District of Beijing Centre for Disease Control and Prevention, Beijing, China.
Shufa DuDepartment of Nutrition and Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, USA.
Chang SuNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Xiaofang JiaNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Jusheng ZhengSchool of Life Sciences, Westlake University, Hangzhou, China.
Huijun Wang *National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China. wanghj@ninh.chinacdc.cn.
Gangqing Ding *National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China. dinggq@chinacdc.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo discover the associations between long-term body mass index (BMI) trajectories and dyslipidemia, and the internal mechanism within different BMI trajectory populations.

methodsWe chose 11,499 adults from China Health and Nutrition Survey (CHNS) for trajectory modeling. Selected those with two blood lipid measurements (n = 2,003), and determine the risk trajectory group associated with dyslipidemia. We selected two subsets of the 2015 CHNS, CHNS-1 (n = 3,061) and CHNS-2 (n = 1,409) for gut microbiome analysis. A Lasso regression in both the CHNS-1 and the CHNS-2 confirmed the dominant genera of each dyslipidemia risk trajectory. We also used a subset of CHNS-2 (n = 779) with metabolomics data to identify the differential metabolites. We ascertained the connection between microbiome and metabolites via correlation analysis.

resultsWe identified three BMI trajectories: The developing into overweight (DO) group and the overweight to obesity (OTO) group had increased dyslipidemia risks compared to the normal stable (NS) group, OR: 1.69(95%CI: 1.30,2.20);1.93(95%,CI:1.34,2.77). There are significant differences in gut microbiota between OTO/DO group and NS group, PERMANOVA R

conclusionsA high-level BMI change trajectory will increase the risk of developing dyslipidemia in the future. The growth trajectory of BMI affects lipid metabolism mediated by gut microbiota.These findings may reveal the mechanism of BMI changes leading to dyslipidemia, and indicate the corresponding microbiome targets for prevention.

Indexed as

Body Mass IndexDyslipidemiasGastrointestinal MicrobiomeAdultChinaFemaleHumansMaleMiddle AgedNutrition SurveysObesityOverweightRisk FactorsBody mass indexDyslipidemiaGut microbiotaMetaboliteTrajectory

Identifiers

PMID41029580
PMCPMC12486964

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