Literature DB >> 28515098

Collagen Turnover Markers in Relation to Future Cardiovascular and Noncardiovascular Disease: The Multi-Ethnic Study of Atherosclerosis.

Daniel A Duprez1, Myron D Gross2, Otto A Sanchez3, Jorge R Kizer4, Joachim H Ix5, Joao Lima6, Russell P Tracy7, David R Jacobs8.   

Abstract

BACKGROUND: Sustained remodeling of extracellular matrix can compromise organs and tissues. Procollagen type III N-terminal propeptide (PIIINP) and collagen type I carboxy-terminal telopeptide (ICTP) reflect collagen synthesis and degradation. We studied their predictive value for future death and disease.
METHODS: A total of 3068 men and women in the Multi-Ethnic Study of Atherosclerosis who were free of cardiovascular disease (CVD) and in generally good health had a baseline blood sample taken for ICTP and PIIINP. Median follow-up was 13.0 years. Among 4 primary outcomes, CVD events (n = 697) were adjudicated, death (n = 571) was by death certificate, and chronic inflammatory-related severe hospitalization and death (ChrIRD, n = 726) and total cancer (n = 327) were classified using International Classification of Diseases codes. We used Poisson regression to study baseline ICTP and PIIINP relative to these outcomes.
RESULTS: Mean (SD) PIIINP was 5.47 (1.95) μg/L and ICTP was 3.37 (1.70) μg/L. PIIINP and ICTP were highly correlated with each other and with estimated glomerular filtration rate (eGFR). Adjustment for age and eGFR attenuated relative risks, remaining 20%-30% per SD of both PIIINP and ICTP in prediction for total death and ChrIRD, and of PIIINP for cancer, with little additional attenuation by adjusting for risk factors and inflammatory biomarkers. CVD outcome was generally unrelated to PIIINP but became marginally inversely related to ICTP in the most adjusted model.
CONCLUSIONS: The collagen biomarkers PIIINP and ICTP, in part through pathophysiologically parallel associations with renal function, predicted ChrIRD and total death. Moreover, PIIINP predicted future cancer. These collagen markers may help differentiate healthy from unhealthy aging.
© 2017 American Association for Clinical Chemistry.

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Year:  2017        PMID: 28515098     DOI: 10.1373/clinchem.2016.270520

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  5 in total

1.  Collagen biomarkers and subclinical interstitial lung disease: The Multi-Ethnic Study of Atherosclerosis.

Authors:  Purnema Madahar; Daniel A Duprez; Anna J Podolanczuk; Elana J Bernstein; Steven M Kawut; Ganesh Raghu; R Graham Barr; Myron D Gross; David R Jacobs; David J Lederer
Journal:  Respir Med       Date:  2018-06-06       Impact factor: 3.415

Review 2.  Aging and its treatment with vitamin C: a comprehensive mechanistic review.

Authors:  Shumaila Mumtaz; Shaukat Ali; Hafiz Muhammad Tahir; Syed Akif Raza Kazmi; Hafiz Abdullah Shakir; Tafail Akbar Mughal; Samaira Mumtaz; Muhammad Summer; Muhammad Adeel Farooq
Journal:  Mol Biol Rep       Date:  2021-10-15       Impact factor: 2.316

3.  Biomarker of Collagen Turnover (C-Terminal Telopeptide) and Prognosis in Patients With Non- ST -Elevation Acute Coronary Syndromes.

Authors:  Thomas A Zelniker; Petr Jarolim; Benjamin M Scirica; Eugene Braunwald; Jeong-Gun Park; Saumya Das; Marc S Sabatine; David A Morrow
Journal:  J Am Heart Assoc       Date:  2019-05-07       Impact factor: 5.501

4.  Geometry of the Carotid Artery and Its Association With Pathologic Changes in a Chinese Population.

Authors:  Yiyao Cui; Xiaoshuo Lv; Feng Wang; Jie Kong; Hao Zhao; Zhidong Ye; Chaozeng Si; Lin Pan; Peng Liu; Jianyan Wen
Journal:  Front Physiol       Date:  2020-01-21       Impact factor: 4.566

5.  Predictive Value of Collagen Biomarkers for Heart Failure With and Without Preserved Ejection Fraction: MESA (Multi-Ethnic Study of Atherosclerosis).

Authors:  Daniel A Duprez; Myron D Gross; Jorge R Kizer; Joachim H Ix; William G Hundley; David R Jacobs
Journal:  J Am Heart Assoc       Date:  2018-02-23       Impact factor: 5.501

  5 in total

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