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

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 metabo...

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Detalles Bibliográficos
Autores principales: Li, Qing-Run, Wang, Zi-Ming, Wewer Albrechtsen, Nicolai J., Wang, Dan-Dan, Su, Zhi-Duan, Gao, Xian-Fu, Wu, Qing-Qing, Zhang, Hui-Ping, Zhu, Li, Li, Rong-Xia, Jacobsen, SivHesse, Jørgensen, Nils Bruun, Dirksen, Carsten, Bojsen-Møller, Kirstine N., Petersen, Jacob S., Madsbad, Sten, Clausen, Trine R., Diderichsen, Børge, Chen, Luo-Nan, Holst, Jens J., Zeng, Rong, Wu, Jia-Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5835566/
https://www.ncbi.nlm.nih.gov/pubmed/29422288
http://dx.doi.org/10.1016/j.ebiom.2018.01.018
Descripción
Sumario: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.