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Usefulness of Certain Protein Biomarkers for Prediction of Coronary Heart Disease
Univ New South Wales, Australia.
Linköping University, Department of Health, Medicine and Caring Sciences, Division of Diagnostics and Specialist Medicine. Linköping University, Faculty of Medicine and Health Sciences.
Univ New South Wales, Australia.
Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences.
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2020 (English)In: American Journal of Cardiology, ISSN 0002-9149, E-ISSN 1879-1913, Vol. 125, no 4, p. 542-548Article in journal (Refereed) Published
Abstract [en]

Identification of biomarkers can help monitor and prevent cardiovascular disease (CVD) risk. We performed an exploratory analysis to identify potential biomarkers for coronary heart disease (CHD) in participants from the Life Conditions, Stress, and Health study. A total of 1,007 participants (50% women), randomly selected from the general population, were followed for incident CHD at 8 and 13 years of follow-up. Plasma levels of 184 CVD-related biomarkers were measured in samples collected at baseline in 86 cases with CHD and 184 age- and sex-matched controls by proximity extension assay. Biomarker levels were presented as normalized protein expression values (log 2 scale). After adjusting for confounding factors, 6 biomarkers showed significant association with incident CHD at 13 years. In a sensitivity analysis, this association remained significant at 8 years for 3 biomarkers; collagen alpha-1(I) chain (COL1A1), bone morphogenetic protein-6 (BMP-6), and interleukin-6 receptor alpha chain (IL-6R alpha). When entering these biomarkers in the full adjustment model simultaneously, their association with incident CHD at 13 years remained significant, hazards ratio being 0.671, 0.335, and 2.854, respectively per unit increase in normalized protein expression values. Subjects with low COL1A1, low BMP-6, and high IL-6R alpha levels had a hazards ratio of 5.097 for incident CHD risk (p = 0.019), compared with those without. In conclusion, we identified COL1A1, BMP-6 and IL-6Ra as biomarkers for incident CHD over a long-term follow-up in this exploratory analysis. For COL1A1 and BMP-6 this has not been previously reported. Further studies are needed to confirm our findings and establish their clinical relevance. (C) 2019 Elsevier Inc. All rights reserved.

Place, publisher, year, edition, pages
EXCERPTA MEDICA INC-ELSEVIER SCIENCE INC , 2020. Vol. 125, no 4, p. 542-548
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Cardiology and Cardiovascular Disease
Identifiers
URN: urn:nbn:se:liu:diva-164669DOI: 10.1016/j.amjcard.2019.11.016ISI: 000514249400009PubMedID: 31812227OAI: oai:DiVA.org:liu-164669DiVA, id: diva2:1417563
Note

Funding Agencies|Swedish Research CouncilSwedish Research Council [2004-1881]; Swedish Heart and Lung FoundationSwedish Heart-Lung Foundation [2004053]; NSW CVRN Research Development Project from the National Heart Foundation of Australia [100715]; Australian National Health and Medical Research CouncilNational Health and Medical Research Council of Australia [1122854]

Available from: 2020-03-29 Created: 2020-03-29 Last updated: 2025-02-10

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Lundberg, AnnaJonasson, LenaKristenson, Margareta

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Chung, RosannaFestin, KarinLundberg, AnnaJonasson, LenaKristenson, Margareta
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Division of Diagnostics and Specialist MedicineFaculty of Medicine and Health SciencesDivision of Society and HealthDepartment of Cardiology in LinköpingEnheten för folkhälsa
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