Plasma connective tissue growth factor (CTGF/CCN2) levels predict myocardial infarction in the veterans affairs diabetes trial (VADT) cohort

dc.contributor.authorHunt, Kelly J.
dc.contributor.authorJaffa, Miran A.
dc.contributor.authorGarrett, Sara M.
dc.contributor.authorLuttrell, Deirdre K.
dc.contributor.authorLipson, Kenneth E.
dc.contributor.authorLopes-Virella, Maria Fernanda L.
dc.contributor.authorLuttrell, Louis M.
dc.contributor.authorJaffa, Ayad A.
dc.contributor.departmentEpidemiology and Population Health (EPHD)
dc.contributor.departmentBiochemistry and Molecular Genetics
dc.contributor.facultyFaculty of Health Sciences (FHS)
dc.contributor.facultyFaculty of Medicine (FM)
dc.contributor.institutionAmerican University of Beirut
dc.date.accessioned2025-01-24T11:34:42Z
dc.date.available2025-01-24T11:34:42Z
dc.date.issued2018
dc.description.abstractOBJECTIVE Connective tissue growth factor (CTGF), also known as CCN2, is a potent chemotactic and extracellular matrix-inducing matricellular protein that has been implicated in progression of inflammatory and fibroproliferative disorders. An emerging role of CTGF/CCN2 is that of a prosclerotic factor implicated in the development of cardiac disease. Our objective was to determine the role of CTGF/CCN2 as a predictor of cardiovascular events in type 2 diabetes in the Veterans Affairs Diabetes Trial (VADT) cohort. RESEARCH DESIGN AND METHODS Levels of CTGF/CCN2weremeasured in 952 VADT patients amedian of 1.9 years after entry into the study. Participants were followed for an average of 3.3 years for vascular outcomes. CTGF/CCN2 categories were defined as below the detectable limit (referent, 54.5%), lower half of detectable values (22.8%), and upper half of detectable values (22.7%). Hazard ratios (HRs) for cardiovascular end points in relation to CTGF/CCN2 categorieswere calculated by Cox proportional hazardsmodels. RESULTS During follow-up, 4.8% had a myocardial infarction (MI), 6.9% had an MI or cardiovascular death, and 6.9% died. After adjustments by conventional risk factors, individuals in the highest category of CTGF/CCN2 were at higher risk of MI (HR 2.43 [95% CI 1.15, 5.14]), MI or cardiovascular death (HR 2.71 [95% CI 1.44, 5.08]), and all-cause mortality (HR 2.70 [95% CI 1.43, 5.08]) relative to individuals with CTGF below the detectable limit. CONCLUSIONS Our study indicates that high levels of CTGF/CCN2 predict future MI and cardiovascular death in patients with type 2 diabetes. © 2018 by the American Diabetes Association.
dc.identifier.doihttps://doi.org/10.2337/dc17-2083
dc.identifier.eid2-s2.0-85044499907
dc.identifier.pmid29382658
dc.identifier.urihttp://hdl.handle.net/10938/28177
dc.language.isoen
dc.publisherAmerican Diabetes Association Inc.
dc.relation.ispartofDiabetes Care
dc.sourceScopus
dc.subjectCohort studies
dc.subjectConnective tissue growth factor
dc.subjectDiabetes mellitus, type 2
dc.subjectEndpoint determination
dc.subjectFemale
dc.subjectFollow-up studies
dc.subjectHumans
dc.subjectMale
dc.subjectMiddle aged
dc.subjectMyocardial infarction
dc.subjectProportional hazards models
dc.subjectProspective studies
dc.subjectRisk factors
dc.subjectVeterans
dc.subjectCtgf protein, human
dc.subjectAdult
dc.subjectAll cause mortality
dc.subjectArticle
dc.subjectCardiovascular mortality
dc.subjectCardiovascular risk
dc.subjectCohort analysis
dc.subjectControlled study
dc.subjectDiet therapy
dc.subjectExercise
dc.subjectHeart infarction
dc.subjectHigh risk population
dc.subjectHuman
dc.subjectMajor clinical study
dc.subjectNon insulin dependent diabetes mellitus
dc.subjectPredictive value
dc.subjectProtein blood level
dc.subjectBioassay
dc.subjectBlood
dc.subjectComplication
dc.subjectFollow up
dc.subjectMortality
dc.subjectProportional hazards model
dc.subjectProspective study
dc.subjectRisk factor
dc.subjectVeteran
dc.titlePlasma connective tissue growth factor (CTGF/CCN2) levels predict myocardial infarction in the veterans affairs diabetes trial (VADT) cohort
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
2018-8280.pdf
Size:
733.93 KB
Format:
Adobe Portable Document Format