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dc.contributor.authorAgarwal, Isha
dc.contributor.authorGlazer, Nicole
dc.contributor.authorBarasch, Eddy
dc.contributor.authorDjousse, Luc
dc.contributor.authorGottdiener, John
dc.contributor.authorIx, Joachim
dc.contributor.authorKizer, Jorge
dc.contributor.authorRimm, Eric Bruce::0ab2926c8242f35e5a982e3cf59f4987::600
dc.contributor.authorSiscovick, David
dc.contributor.authorKing, George
dc.contributor.authorMukamal, Ken
dc.date.accessioned2019-08-25T13:31:36Z
dc.date.issued2015
dc.identifier.citationAgarwal, Isha, Nicole L. Glazer, Eddy Barasch, Luc Djousse, John S. Gottdiener, Joachim H. Ix, Jorge R. Kizer, et al. 2015. “Associations between Metabolic Dysregulation and Circulating Biomarkers of Fibrosis: The Cardiovascular Health Study.” Metabolism 64 (10): 1316–23. https://doi.org/10.1016/j.metabol.2015.07.013.
dc.identifier.issn0026-0495
dc.identifier.issn1532-8600
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:41245545*
dc.description.abstractAim. Fibrosis is one postulated pathway by which diabetes produces cardiac and other systemic complications. Our aim was to determine which metabolic parameters are associated with circulating fibrosis-related biomarkers transforming growth factor-beta (TGF-beta) and procollagen type III N-terminal propeptide (PIIINP).Methods. We used linear regression to determine the cross-sectional associations of diverse metabolic parameters, including fasting glucose, fasting insulin, body mass index, fatty acid binding protein 4, and non-estelified fatty acids, with circulating levels of TGF-beta (n = 1559) and PIIINP (n = 3024) among community-living older adults in the Cardiovascular Health Study.Results. Among the main metabolic parameters we examined, only fasting glucose was associated with TGF-beta (P = 0.03). In contrast, multiple metabolic parameters were associated with PIIINP, including fasting insulin, body mass index, and non-esterified fatty acids (P<0.001, P<0.001, P=0.001, respectively). These associations remained statistically significant after mutual adjustment, except the association between BMI and PIIINP.Conclusions. Isolated hyperglycemia is associated with higher serum concentrations of TGF-beta, while a broader phenotype of insulin resistance is associated with higher serum PIIINP. Whether simultaneous pharmacologic targeting of these two metabolic phenotypes can synergistically reduce the risk of cardiac and other manifestations of fibrosis remains to be determined.
dc.language.isoen_US
dash.licenseOAP
dc.titleAssociations between metabolic dysregulation and circulating biomarkers of fibrosis: the Cardiovascular Health Study
dc.typeJournal Article
dc.description.versionAccepted Manuscript
dc.relation.journalMetabolism - Clinical and Experimental
dash.depositing.authorRimm, Eric Bruce::0ab2926c8242f35e5a982e3cf59f4987::600
dc.date.available2019-08-25T13:31:36Z
dash.workflow.comments1Science Serial ID 61496
dc.identifier.doi10.1016/j.metabol.2015.07.013
dash.source.volume64;10
dash.source.page1316


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