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

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Standard

Systems signatures reveal unique remission-path of Type 2 diabetes following Roux-en-Y gastric bypass surgery. / Li, Qing-Run; Wang, Zi-Ming; Albrechtsen, Nicolai Jacob Wewer; 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.

I: EBioMedicine, Bind 28, 2018, s. 234-240.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Li, Q-R, Wang, Z-M, Albrechtsen, NJW, Wang, D-D, Su, Z-D, Gao, X-F, Wu, Q-Q, Zhang, H-P, Zhu, L, Li, R-X, Jacobsen, S, Jørgensen, NB, Dirksen, C, Bojsen-Møller, KN, Petersen, JS, Madsbad, S, Clausen, TR, Diderichsen, B, Chen, L-N, Holst, JJ, Zeng, R & Wu, J-R 2018, 'Systems signatures reveal unique remission-path of Type 2 diabetes following Roux-en-Y gastric bypass surgery', EBioMedicine, bind 28, s. 234-240. https://doi.org/10.1016/j.ebiom.2018.01.018

APA

Li, Q-R., Wang, Z-M., Albrechtsen, N. J. W., Wang, D-D., Su, Z-D., Gao, X-F., ... Wu, J-R. (2018). Systems signatures reveal unique remission-path of Type 2 diabetes following Roux-en-Y gastric bypass surgery. EBioMedicine, 28, 234-240. https://doi.org/10.1016/j.ebiom.2018.01.018

Vancouver

Li Q-R, Wang Z-M, Albrechtsen NJW, Wang D-D, Su Z-D, Gao X-F o.a. Systems signatures reveal unique remission-path of Type 2 diabetes following Roux-en-Y gastric bypass surgery. EBioMedicine. 2018;28:234-240. https://doi.org/10.1016/j.ebiom.2018.01.018

Author

Li, Qing-Run ; Wang, Zi-Ming ; Albrechtsen, Nicolai Jacob Wewer ; 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. / Systems signatures reveal unique remission-path of Type 2 diabetes following Roux-en-Y gastric bypass surgery. I: EBioMedicine. 2018 ; Bind 28. s. 234-240.

Bibtex

@article{02afc2e84e624a8fa3e65b0e26127bae,
title = "Systems signatures reveal unique remission-path of Type 2 diabetes following Roux-en-Y gastric bypass surgery",
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.",
keywords = "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",
author = "Qing-Run Li and Zi-Ming Wang and Albrechtsen, {Nicolai Jacob Wewer} and Dan-Dan Wang and Zhi-Duan Su and Xian-Fu Gao and Qing-Qing Wu and Hui-Ping Zhang and Li Zhu and Rong-Xia Li and SivHesse Jacobsen and J{\o}rgensen, {Nils Bruun} and Carsten Dirksen and Bojsen-M{\o}ller, {Kirstine N.} and Petersen, {Jacob S.} and Sten Madsbad and Clausen, {Trine R.} and B{\o}rge Diderichsen and Luo-Nan Chen and Holst, {Jens J.} and Rong Zeng and Jia-Rui Wu",
note = "Copyright {\circledC} 2018. Published by Elsevier B.V.",
year = "2018",
doi = "10.1016/j.ebiom.2018.01.018",
language = "English",
volume = "28",
pages = "234--240",
journal = "EBioMedicine",
issn = "2352-3964",
publisher = "Elsevier",

}

RIS

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 - Albrechtsen, Nicolai Jacob Wewer

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

Y1 - 2018

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

KW - Obesity/genetics

KW - Diabetes Mellitus, Type 2/blood

KW - Gastric Bypass

KW - Weight Loss

KW - Humans

KW - Metabolome

KW - Gene Regulatory Networks

KW - Principal Component Analysis

KW - Systems Biology

KW - Blood Proteins/metabolism

KW - Gastric bypass surgery

KW - Network biomarker

KW - Systems biology

KW - Network

KW - Diabetes

U2 - 10.1016/j.ebiom.2018.01.018

DO - 10.1016/j.ebiom.2018.01.018

M3 - Journal article

VL - 28

SP - 234

EP - 240

JO - EBioMedicine

JF - EBioMedicine

SN - 2352-3964

ER -

ID: 189764538