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Systems Signatures Reveal Unique Remission-path of Type 2 Diabetes Following Roux-en-Y Gastric Bypass Surgery

Authors :
Dan-Dan Wang
SivHesse Jacobsen
Qingqing Wu
Li Zhu
Qingrun Li
Trine R. Clausen
Nicolai J. Wewer Albrechtsen
Jens J. Holst
Børge Diderichsen
Huiping Zhang
Luonan Chen
Rong Zeng
Sten Madsbad
Ziming Wang
Kirstine N. Bojsen-Møller
Rongxia Li
Jiarui Wu
Nils B. Jørgensen
Carsten Dirksen
Zhiduan Su
Xianfu Gao
Jacob S. Petersen
Source :
EBioMedicine, Vol 28, Iss C, Pp 234-240 (2018), Li, Q-R, Wang, Z-M, Albrechtsen, N J W, Wang, D-D, Su, Z-D, Gao, X-F, Wu, Q-Q, Zhang, H-P, Zhu, L, Li, R-X, Jacobsen, S, Jørgensen, N B, Dirksen, C, Bojsen-Møller, K N, Petersen, J S, Madsbad, S, Clausen, T R, Diderichsen, B, Chen, L-N, Holst, J J, Zeng, R & Wu, J-R 2018, ' Systems signatures reveal unique remission-path of Type 2 diabetes following Roux-en-Y gastric bypass surgery ', EBioMedicine, vol. 28, pp. 234-240 . https://doi.org/10.1016/j.ebiom.2018.01.018, EBioMedicine
Publication Year :
2018
Publisher :
Elsevier, 2018.

Abstract

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.<br />Highlights • Plasma proteomic and metabolomic datasets were collected with time-series mode in patients treated with RYGB. • Workflow to define the physiological states based on associations between biomolecules • Systems signatures reveal unique path for diabetes remission independent of weight loss.

Details

Language :
English
ISSN :
23523964
Volume :
28
Database :
OpenAIRE
Journal :
EBioMedicine
Accession number :
edsair.doi.dedup.....3b4bef061fe938fc100ebcd3d6919109