Lipidomic profiling reveals distinct differences in plasma lipid composition in healthy, prediabetic, and type 2 diabetic individuals

Author:

Zhong Huanzi123,Fang Chao124,Fan Yanqun1,Lu Yan5,Wen Bo1,Ren Huahui124,Hou Guixue6,Yang Fangming127,Xie Hailiang12,Jie Zhuye12,Peng Ye128,Ye Zhiqiang12,Wu Jiegen18,Zi Jin6,Zhao Guoqing2,Chen Jiayu2,Bao Xiao2,Hu Yihe5,Gao Yan5,Zhang Jun5,Yang Huanming129,Wang Jian129,Madsen Lise11011,Kristiansen Karsten1210,Ni Chuanming5,Li Junhua123,Liu Siqi1612

Affiliation:

1. BGI-Shenzhen, Shenzhen 518083, China

2. China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen 518083, China

3. Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI-Shenzhen, Shenzhen 518083, China

4. Shenzhen Engineering Laboratory of Detection and Intervention of Human Intestinal Microbiome, BGI-Shenzhen, Shenzhen 518083, China

5. Suzhou Center for Disease Prevention and Control, Suzhou 215007, China

6. Proteomics Division, BGI-Shenzhen, Shenzhen 518083, China

7. BGI Education Center, University of Chinese Academy of Sciences, Beijing, China

8. School of Bioscience and Bioengineering, South China University of Technology, Guangzhou, China

9. James D. Watson Institute of Genome Sciences, Hangzhou 310058, China

10. Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, 2100 Copenhagen Ø, Denmark

11. National Institute of Nutrition and Seafood Research (NIFES), 5817 Bergen, Norway

12. CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China

Publisher

Oxford University Press (OUP)

Subject

Computer Science Applications,Health Informatics

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