PMID- 31455687 OWN - NLM STAT- MEDLINE DCOM- 20200708 LR - 20221207 IS - 1935-5548 (Electronic) IS - 0149-5992 (Linking) VI - 42 IP - 11 DP - 2019 Nov TI - High-Coverage Targeted Lipidomics Reveals Novel Serum Lipid Predictors and Lipid Pathway Dysregulation Antecedent to Type 2 Diabetes Onset in Normoglycemic Chinese Adults. PG - 2117-2126 LID - 10.2337/dc19-0100 [doi] AB - OBJECTIVE: Comprehensive assessment of serum lipidomic aberrations before type 2 diabetes mellitus (T2DM) onset has remained lacking in Han Chinese. We evaluated changes in lipid coregulation antecedent to T2DM and identified novel lipid predictors for T2DM in individuals with normal glucose regulation (NGR). RESEARCH DESIGN AND METHODS: In the discovery study, we tested 667 baseline serum lipids in subjects with incident diabetes and propensity score-matched control subjects (n = 200) from a prospective cohort comprising 3,821 Chinese adults with NGR. In the validation study, we tested 250 lipids in subjects with incident diabetes and matched control subjects (n = 724) from a pooled validation cohort of 14,651 individuals with NGR covering five geographical regions across China. Differential correlation network analyses revealed perturbed lipid coregulation antecedent to diabetes. The predictive value of a serum lipid panel independent of serum triglycerides and 2-h postload glucose was also evaluated. RESULTS: At the level of false-discovery rate <0.05, 38 lipids, including triacylglycerols (TAGs), lyso-phosphatidylinositols, phosphatidylcholines, polyunsaturated fatty acid (PUFA)-plasmalogen phosphatidylethanolamines (PUFA-PEps), and cholesteryl esters, were significantly associated with T2DM risk in the discovery and validation cohorts. A preliminary study found most of the lipid predictors were also significantly associated with the risk of prediabetes. Differential correlation network analysis revealed that perturbations in intraclass (i.e., non-PUFA-TAG and PUFA-TAGs) and interclass (i.e., TAGs and PUFA-PEps) lipid coregulation preexisted before diabetes onset. Our lipid panel further improved prediction of incident diabetes over conventional clinical indices. CONCLUSIONS: These findings revealed novel changes in lipid coregulation existing before diabetes onset and expanded the current panel of serum lipid predictors for T2DM in normoglycemic Chinese individuals. CI - (c) 2019 by the American Diabetes Association. FAU - Lu, Jieli AU - Lu J AD - Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commision of the People's Republic of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China. FAU - Lam, Sin Man AU - Lam SM AD - State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China. FAU - Wan, Qin AU - Wan Q AD - Affiliated Hospital of Southwest Medical University, Luzhou, China. FAU - Shi, Lixin AU - Shi L AD - Affiliated Hospital of Guiyang Medical College, Guiyang, China. FAU - Huo, Yanan AU - Huo Y AD - Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China. FAU - Chen, Lulu AU - Chen L AUID- ORCID: 0000-0001-9621-9231 AD - Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. FAU - Tang, Xulei AU - Tang X AD - The First Hospital of Lanzhou University, Lanzhou, China. FAU - Li, Bowen AU - Li B AD - State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China. FAU - Wu, Xueyan AU - Wu X AD - Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commision of the People's Republic of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China. FAU - Peng, Kui AU - Peng K AD - Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commision of the People's Republic of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China. FAU - Li, Mian AU - Li M AD - Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commision of the People's Republic of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China. FAU - Wang, Shuangyuan AU - Wang S AD - Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commision of the People's Republic of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China. FAU - Xu, Yu AU - Xu Y AD - Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commision of the People's Republic of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China. FAU - Xu, Min AU - Xu M AUID- ORCID: 0000-0003-4464-453X AD - Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commision of the People's Republic of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China. FAU - Bi, Yufang AU - Bi Y AD - Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commision of the People's Republic of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China. FAU - Ning, Guang AU - Ning G AUID- ORCID: 0000-0002-5754-7635 AD - Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commision of the People's Republic of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China. FAU - Shui, Guanghou AU - Shui G AUID- ORCID: 0000-0002-1621-9643 AD - State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China wqingw61@163.com ghshui@genetics.ac.cn. FAU - Wang, Weiqing AU - Wang W AUID- ORCID: 0000-0001-6027-3084 AD - Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commision of the People's Republic of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China wqingw61@163.com ghshui@genetics.ac.cn. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20190827 PL - United States TA - Diabetes Care JT - Diabetes care JID - 7805975 RN - 0 (Biomarkers) RN - 0 (Blood Glucose) RN - 0 (Lipids) RN - 0 (Triglycerides) SB - IM MH - Adult MH - Asian People/statistics & numerical data MH - Biomarkers/blood MH - Blood Glucose/analysis MH - China/epidemiology MH - Diabetes Mellitus, Type 2/*blood/epidemiology/ethnology MH - Female MH - Glucose Tolerance Test MH - Humans MH - Lipidomics/*methods MH - Lipids/*blood MH - Male MH - Middle Aged MH - Prediabetic State/*blood/ethnology MH - Predictive Value of Tests MH - Propensity Score MH - Prospective Studies MH - Risk Assessment/methods MH - Triglycerides/blood EDAT- 2019/08/29 06:00 MHDA- 2020/07/09 06:00 CRDT- 2019/08/29 06:00 PHST- 2019/01/15 00:00 [received] PHST- 2019/07/29 00:00 [accepted] PHST- 2019/08/29 06:00 [pubmed] PHST- 2020/07/09 06:00 [medline] PHST- 2019/08/29 06:00 [entrez] AID - dc19-0100 [pii] AID - 10.2337/dc19-0100 [doi] PST - ppublish SO - Diabetes Care. 2019 Nov;42(11):2117-2126. doi: 10.2337/dc19-0100. Epub 2019 Aug 27.