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Göteborgs universitets publikationer

Integrated Network Analysis Reveals an Association between Plasma Mannose Levels and Insulin Resistance

Författare och institution:
S. Lee (-); C. Zhang (-); M. Kilicarslan (-); B. D. Piening (-); Elias Björnson (Institutionen för biologi och bioteknik, Systembiologi, Chalmers); B. M. Hallstrom (-); A. K. Groen (-); E. Ferrannini (-); M. Laakso (-); M. Snyder (-); M. Bluher (-); M. Uhlen (-); Jens B. Nielsen (Institutionen för biologi och bioteknik, Systembiologi, Chalmers); Ulf Smith (Institutionen för medicin, avdelningen för molekylär och klinisk medicin); M. J. Serlie (-); J. Boren (-); Adil Mardinoglu (Institutionen för biologi och bioteknik, Systembiologi, Chalmers)
Publicerad i:
Cell Metabolism, 24 ( 1 ) s. 172-184
Artikel, refereegranskad vetenskaplig
Sammanfattning (abstract):
To investigate the biological processes that are altered in obese subjects, we generated cell-specific integrated networks (INs) by merging genome-scale metabolic, transcriptional regulatory and protein-protein interaction networks. We performed genome-wide transcriptomics analysis to determine the global gene expression changes in the liver and three adipose tissues from obese subjects undergoing bariatric surgery and integrated these data into the cell-specific INs. We found dysregulations in mannose metabolism in obese subjects and validated our predictions by detecting mannose levels in the plasma of the lean and obese subjects. We observed significant correlations between plasma mannose levels, BMI, and insulin resistance (IR). We also measured plasma mannose levels of the subjects in two additional different cohorts and observed that an increased plasma mannose level was associated with IR and insulin secretion. We finally identified mannose as one of the best plasma metabolites in explaining the variance in obesity-independent IR.
Ämne (baseras på Högskoleverkets indelning av forskningsämnen):
Biologiska vetenskaper ->
Klinisk medicin ->
Endokrinologi och diabetes
protein interaction networks, genome-scale, glucose-tolerance, metabolic, network, n-glycosylation, adipose-tissue, amino-acid, sensitivity, models, liver, Cell Biology, Endocrinology & Metabolism
Postens nummer:
Posten skapad:
2016-09-07 14:30

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