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

Qing-Run Li; Zi-Ming Wang; Nicolai J 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; Rong Zeng; Jia-Rui Wu

doi:10.1016/j.ebiom.2018.01.018

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

Qing-Run Li, Zi-Ming Wang, Nicolai J 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 HolstRong Zeng, Jia-Rui Wu

8 Citationer (Scopus)

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.

Originalsprog	Engelsk
Tidsskrift	EBioMedicine
Sider (fra-til)	234-240
DOI	https://doi.org/10.1016/j.ebiom.2018.01.018
Status	Udgivet - feb. 2018
Udgivet eksternt	Ja

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10.1016/j.ebiom.2018.01.018

Citationsformater

Li, Q.-R., Wang, Z.-M., Wewer Albrechtsen, N. J., 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., ... Wu, J.-R. (2018). Systems Signatures Reveal Unique Remission-path of Type 2 Diabetes Following Roux-en-Y Gastric Bypass Surgery. EBioMedicine, 234-240. https://doi.org/10.1016/j.ebiom.2018.01.018

Li, Q-R, Wang, Z-M, Wewer Albrechtsen, NJ, 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, s. 234-240. https://doi.org/10.1016/j.ebiom.2018.01.018

@article{7738f76f652041fdaa30525ed1095857,

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",

author = "Qing-Run Li and Zi-Ming Wang and {Wewer Albrechtsen}, {Nicolai J} 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 {\textcopyright} 2018. Published by Elsevier B.V.",

year = "2018",

month = feb,

doi = "10.1016/j.ebiom.2018.01.018",

language = "English",

pages = "234--240",

journal = "EBioMedicine",

issn = "2352-3964",

publisher = "Elsevier BV",

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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

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

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 -

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

Abstract

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