TY - JOUR
T1 - Systems Signatures Reveal Unique Remission-path of Type 2 Diabetes Following Roux-en-Y Gastric Bypass Surgery
AU - Li, Qing-Run
AU - Wang, Zi-Ming
AU - Wewer Albrechtsen, Nicolai J
AU - Wang, Dan-Dan
AU - Su, Zhi-Duan
AU - Gao, Xian-Fu
AU - Wu, Qing-Qing
AU - Zhang, Hui-Ping
AU - Zhu, Li
AU - Li, Rong-Xia
AU - Jacobsen, SivHesse
AU - Jørgensen, Nils Bruun
AU - Dirksen, Carsten
AU - Bojsen-Møller, Kirstine N
AU - Petersen, Jacob S
AU - Madsbad, Sten
AU - Clausen, Trine R
AU - Diderichsen, Børge
AU - Chen, Luo-Nan
AU - Holst, Jens J
AU - Zeng, Rong
AU - Wu, Jia-Rui
N1 - Copyright © 2018. Published by Elsevier B.V.
PY - 2018/2
Y1 - 2018/2
N2 - 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.
AB - 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.
KW - Journal Article
UR - https://www.scopus.com/pages/publications/85044854928
U2 - 10.1016/j.ebiom.2018.01.018
DO - 10.1016/j.ebiom.2018.01.018
M3 - Journal article
C2 - 29422288
SN - 2352-3964
SP - 234
EP - 240
JO - EBioMedicine
JF - EBioMedicine
ER -