Systems signatures reveal unique remission-path of Type 2 diabetes following Roux-en-Y gastric bypass surgery

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Qing-Run Li, Zi-Ming Wang, Nicolai Jacob Wewer Albrechtsen, Dan-Dan Wang, Zhi-Duan Su, Xian-Fu Gao, Qing-Qing Wu, Hui-Ping Zhang, Li Zhu, Rong-Xia Li, SivHesse Jacobsen, Nils Bruun Jørgensen, Carsten Dirksen, Kirstine N. Bojsen-Møller, Jacob S. Petersen, Sten Madsbad, Trine R. Clausen, Børge Diderichsen, Luo-Nan Chen, Jens J. Holst & 2 more Rong Zeng, Jia-Rui Wu

Roux-en-Y Gastric bypass surgery (RYGB) is emerging as a powerful tool for treatment of obesity and may also cause remission of type 2 diabetes. However, the molecular mechanism of RYGB leading to diabetes remission independent of weight loss remains elusive. In this study, we profiled plasma metabolites and proteins of 10 normal glucose-tolerant obese (NO) and 9 diabetic obese (DO) patients before and 1-week, 3-months, 1-year after RYGB. 146 proteins and 128 metabolites from both NO and DO groups at all four stages were selected for further analysis. By analyzing a set of bi-molecular associations among the corresponding network of the subjects with our newly developed computational method, we defined the represented physiological states (called the edge-states that reflect the interactions among the bio-molecules), and the related molecular networks of NO and DO patients, respectively. The principal component analyses (PCA) revealed that the edge states of the post-RYGB NO subjects were significantly different from those of the post-RYGB DO patients. Particularly, the time-dependent changes of the molecular hub-networks differed between DO and NO groups after RYGB. In conclusion, by developing molecular network-based systems signatures, we for the first time reveal that RYGB generates a unique path for diabetes remission independent of weight loss.

Original languageEnglish
JournalEBioMedicine
Volume28
Pages (from-to)234-240
Number of pages7
ISSN2352-3964
DOIs
Publication statusPublished - 2018

    Research areas

  • Journal Article, Obesity/genetics, Diabetes Mellitus, Type 2/blood, Gastric Bypass, Weight Loss, Humans, Metabolome, Gene Regulatory Networks, Principal Component Analysis, Systems Biology, Blood Proteins/metabolism, Gastric bypass surgery, Network biomarker, Systems biology, Network, Diabetes

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