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Use of a proximity extension assay proteomics chip to discover new biomarkers for human atherosclerosis
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiology.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Coagulation and inflammation science. Uppsala University, Science for Life Laboratory, SciLifeLab.
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2015 (English)In: Atherosclerosis, ISSN 0021-9150, E-ISSN 1879-1484, Vol. 242, no 1, 205-210 p.Article in journal (Refereed) Published
Abstract [en]

Background and aims: We used a proteomics array to simultaneously measure multiple proteins that have been suggested to be associated with atherosclerosis and related them to plaque prevalence in carotid arteries in a human population-based study. Methods: In the Prospective Study of the Vasculature in Uppsala Seniors (PIVUS; n = 931, 50% women, all aged 70 years), the number of carotid arteries with plaques was recorded by ultrasound. Levels of 82 proteins were assessed in plasma by a proximity extension assay (Proseek Multiplex CVD, Olink Bioscience, Uppsala, Sweden) and related to carotid measures in a regression framework. Results: Following adjustment for multiple testing with Bonferroni correction, seven of the proteins were significantly related to the number of carotid arteries affected by plaques in sex-adjusted models (osteoprotegrin, T-cell immunoglobulin and mucin domain (TIM)-1, growth/differentiation factor 15 (GDF-15), matrix metalloprotease-12 (MMP-12), renin, tumor necrosis factor ligand superfamily member 14 (TNFSF14) and growth hormone). Of these, renin (odds ratio [OR], 1.30; 95% confidence interval [CI], 1.13-1.49 per standard deviation increase), growth hormone (OR, 1.24; 95% CI, 1.08-1.43), osteoprotegerin (OR, 1.22; 95% CI, 1.05-1.43) and TNFSF14 (OR, 1.17; 95% CI, 1.01-1.35) were related to plaque prevalence independently of each other and traditional cardiovascular risk factors. Conclusion: A novel targeted proteomics approach using the proximity extension technique discovered several new associations of candidate proteins with carotid artery plaque prevalence in a large human sample.

Place, publisher, year, edition, pages
2015. Vol. 242, no 1, 205-210 p.
Keyword [en]
Atherosclerosis, Epidemiology, Carotid artery, Ultrasound, Proteomics
National Category
Cardiac and Cardiovascular Systems
Identifiers
URN: urn:nbn:se:uu:diva-263438DOI: 10.1016/j.atherosclerosis.2015.07.023ISI: 000360100900032PubMedID: 26204497OAI: oai:DiVA.org:uu-263438DiVA: diva2:859451
Funder
Knut and Alice Wallenberg FoundationMarianne and Marcus Wallenberg FoundationEU, European Research Council, 335395-CardiomicsSwedish Heart Lung Foundation, 20120197 20120169Swedish Research Council, 2012-1397 2012-2215Science for Life Laboratory - a national resource center for high-throughput molecular bioscience
Available from: 2015-10-07 Created: 2015-09-30 Last updated: 2017-12-01Bibliographically approved

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Lind, LarsÄrnlöv, JohanLindahl, BertilSiegbahn, AgnetaSundström, JohanIngelsson, Erik

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Lind, LarsÄrnlöv, JohanLindahl, BertilSiegbahn, AgnetaSundström, JohanIngelsson, Erik
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Cardiovascular epidemiologyCardiologyCoagulation and inflammation scienceScience for Life Laboratory, SciLifeLabMolecular epidemiology
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Atherosclerosis
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