作者
Shuangyuan Wang,Chunyan Hu,Hong Lin,Xiuyi Jia,Ruying Hu,Ruizhi Zheng,Mian Li,Yu Xu,Min Xu,Jie Zheng,Xinjie Zhao,Yanli Li,Lulu Chen,Tianshu Zeng,Zhen Ye,Lixin Shi,Qing Su,Yuhong Chen,Xuefeng Yu,Yan Li,Tiange Wang,Zhiyun Zhao,Guijun Qin,Qin Wan,Gang Chen,Meng Dai,Di Zhang,Bihan Qiu,Xiaoyan Zhu,Ruixin Liu,Xiao Wang,Xulei Tang,Zhengnan Gao,Feixia Shen,Xuejiang Gu,Zuojie Luo,Yingfen Qin,Li Chen,Xinguo Hou,Yanan Huo,Qiang Li,Guixia Wang,Qian Zhang,Chao Liu,Youmin Wang,Shengli Wu,Tao Yang,Huacong Deng,Jiajun Zhao,Yiming Mu,Guowang Xu,Shenghan Lai,Donghui Li,Guang Ning,Weiqing Wang,Yufang Bi,Jieli Lu
摘要
Long-chain free fatty acids (FFAs) are associated with risk of incident diabetes. However, comprehensive assessment of the associations in normoglycemic populations is lacking. Our study aims to comprehensively investigate the prospective associations and patterns of FFA profiles with diabetes risk among normoglycemic Chinese adults. This is a prospective nested case-control study from the China Cardiometabolic Disease and Cancer Cohort (4C) study. We quantitatively measured 53 serum FFAs using targeted metabolomics approach in 1707 incident diabetes subjects and 1707 propensity score-matched normoglycemic controls. Conditional logistic regression models were employed to estimate odds ratios (ORs) for associations. Least Absolute Shrinkage and Selection Operator (LASSO) penalty regression and quantile g-computation (qg-comp) analyses were implemented to estimate the association between multi-FFA exposures and incident diabetes. The majority of odd-chain FFAs exhibited an inverse association with incident diabetes, wherein the ORs per SD increment of all 7 saturated fatty acids (SFAs), monounsaturated fatty acid (MUFA) 15:1 and polyunsaturated fatty acid (PUFA) 25:2 were ranging from 0.79 to 0.88 (95%CIs ranging between 0.71 and 0.97). Even-chain FFAs comprised 99.3% of total FFAs and displayed heterogeneity with incident diabetes. SFAs with 18 to 26 carbon atoms are inversely linked to incident diabetes, with ORs ranging from 0.81 to 0.86 (95%CIs ranging between 0.73 and 0.94). MUFAs 26:1 (OR[95%CI]: 0.85[0.76-0.94]), PUFAs 20:4 (0.84[0.75-0.94]) and 24:2 (0.87[0.78-0.97]) demonstrated significant associations. In multi-FFA exposure model, 24 FFAs were significantly associated with incident diabetes, most of which were consistent with univariate results. The mixture OR was 0.78 [0.61-0.99] (P= 0.04159). Differential correlation network analysis revealed pre-existing perturbations in intraclass and interclass FFA coregulation before diabetes onset. These findings underscore the variations in diabetes risk associated with FFAs across chain length and unsaturation degree, highlighting the importance of recognizing FFA subtypes in the pathogenesis of diabetes.