Lipid Profiling Reveals Lipidomic Signatures of Weight Loss Interventions

Author:

Lin Kaiqing1,Cheng Wei2,Shen Qiwei3,Wang Hui4,Wang Ruwen1,Guo Shanshan5,Wu Xianmin1,Wu Wei6,Chen Peijie1,Wang Yongfei7,Ye Hongying6,Zhang Qiongyue6,Wang Ru1

Affiliation:

1. School of Exercise and Health, Shanghai Frontiers Science Research Base of Exercise and Metabolic Health, Shanghai University of Sport, Shanghai 200438, China

2. Department of Endocrinology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai 200090, China

3. Department of General Surgery, Huashan Hospital, Fudan University, Shanghai 200433, China

4. Shanghai Key Laboratory of Metabolic Remodeling and Health, Institute of Metabolism & Integrative Biology, Fudan University, Shanghai 200433, China

5. State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200438, China

6. Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200433, China

7. Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200433, China

Abstract

Obesity is an epidemic all around the world. Weight loss interventions that are effective differ from each other with regard to various lipidomic responses. Here, we aimed to find lipidomic biomarkers that are related to beneficial changes in weight loss. We adopted an untargeted liquid chromatography with tandem mass spectrometry (LC-MS/MS) method to measure 953 lipid species for Exercise (exercise intervention cohort, N = 25), 1388 lipid species for LSG (laparoscopic sleeve gastrectomy cohort, N = 36), and 886 lipid species for Cushing (surgical removal of the ACTH-secreting pituitary adenomas cohort, N = 25). Overall, the total diacylglycerol (DG), triacylglycerol (TG), phosphatidylethanolamine (PE), phosphatidylinositol (PI), phosphatidylserine (PS), and sphingomyelin (SM) levels were associated with changes in BMI, glycated hemoglobin (HbA1c), triglyceride, and total cholesterol according to weight loss interventions. We found that 73 lipid species changed among the three weight loss interventions. We screened 13 lipid species with better predictive accuracy in diagnosing weight loss situations in either Exercise, LSG, or Cushing cohorts (AUROC > 0.7). More importantly, we identified three phosphatidylcholine (PC) lipid species, PC (14:0_18:3), PC (31:1), and PC (32:2) that were significantly associated with weight change in three studies. Our results highlight potential lipidomic biomarkers that, in the future, could be used in personalized approaches involving weight loss interventions.

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Shanghai “Science and Technology Innovation Action Plan” Social Development Science and Technology Reach Project

Shanghai Municipal Science and Technology Committee of Shanghai outstanding academic leaders plan

Construction Project of High-Level Local Universities in Shanghai, China. The National Key Research and development program of China

Publisher

MDPI AG

Subject

Food Science,Nutrition and Dietetics

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