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Systems Signatures Reveal Unique Remission-path of Type 2 Diabetes Following Roux-en-Y Gastric Bypass Surgery
- 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.
- Subjects :
- 0301 basic medicine
medicine.medical_specialty
Obesity/genetics
Gastric Bypass
Blood Proteins/metabolism
lcsh:Medicine
Network
Type 2 diabetes
medicine.disease_cause
Gastroenterology
General Biochemistry, Genetics and Molecular Biology
03 medical and health sciences
Weight loss
Diabetes mellitus
Internal medicine
Weight Loss
Gastric bypass surgery
Journal Article
Humans
Medicine
Gene Regulatory Networks
Obesity
Principal Component Analysis
lcsh:R5-920
business.industry
Systems Biology
Diabetes
lcsh:R
Network biomarker
nutritional and metabolic diseases
Blood Proteins
General Medicine
medicine.disease
Roux-en-Y anastomosis
Molecular network
030104 developmental biology
Diabetes Mellitus, Type 2
Metabolome
Molecular mechanism
medicine.symptom
Diabetes Mellitus, Type 2/blood
business
Systems biology
lcsh:Medicine (General)
Research Paper
Subjects
Details
- Language :
- English
- ISSN :
- 23523964
- Volume :
- 28
- Database :
- OpenAIRE
- Journal :
- EBioMedicine
- Accession number :
- edsair.doi.dedup.....3b4bef061fe938fc100ebcd3d6919109