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Physical activity is associated with a large number of cardiovascular-specific proteins : Cross-sectional analyses in two independent cohorts

Stattin, Karl (author)
Uppsala universitet,Uppsala University,Ortopedi
Lind, Lars (author)
Uppsala universitet,Uppsala University,Klinisk epidemiologi
Elmståhl, Sölve (author)
Lund University,Lunds universitet,Geriatrik,Forskargrupper vid Lunds universitet,Geriatrics,Lund University Research Groups,Lund Univ, Dept Clin Sci, Div Geriatr Med, Lund, Sweden
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Wolk, Alicja (author)
Karolinska Institutet,Uppsala universitet,Uppsala University,Karolinska Institute,Ortopedi,Karolinska Inst, Unit Cardiovasc & Nutr Epidemiol, Inst Environm Med, Stockholm, Sweden
Warensjö Lemming, Eva (author)
Uppsala universitet,Uppsala University,Ortopedi
Melhus, Håkan (author)
Uppsala universitet,Uppsala University,Klinisk farmakogenomik och osteoporos
Michaëlsson, Karl, 1959- (author)
Uppsala universitet,Uppsala University,Ortopedi
Byberg, Liisa (author)
Uppsala universitet,Uppsala University,Ortopedi
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 (creator_code:org_t)
2019-08-14
2019
English.
In: European Journal of Preventive Cardiology. - : Oxford University Press (OUP). - 2047-4873 .- 2047-4881. ; 26:17, s. 1865-1873
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Aims: We aimed to discover and replicate associations between leisure-time physical activity and cardiovascular candidate plasma protein biomarkers and to examine whether the associations were independent of body fat. Methods: We used cross-sectional data from two population-based cohorts, the EpiHealth (discovery cohort; n = 2239) and the Swedish Mammography Cohort – Clinical (SMCC; replication cohort; n = 4320). Physical activity during leisure time was assessed using questionnaires, and plasma concentrations of 184 proteins were assayed using the Olink Proseek Multiplex Cardiovascular 2 and 3 kits. We applied adjusted linear regression models using the False Discovery Rate to control for multiple testing in discovery. Results: In EpiHealth, physical activity was associated with 75 cardiovascular plasma biomarkers, of which 28 associations were verified (replicated) in SMCC. Findings include seven novel associations in human: paraoxonase 3, cystatin B, cathepsin Z, alpha-L-iduronidase, prostasin, growth differentiation factor 2 and tumour necrosis factor alpha receptor superfamily member 11A. Estimates for associations were similar across tertiles of body fat and physical activity was associated with four biomarkers independent of body fat percentage: paraoxonase 3, cystatin B, fatty acid-binding protein 4 and interleukin-1 receptor antagonist. Conclusion: Leisure-time physical activity was associated with 28 cardiovascular-specific proteins; four associations were independent of body fat. Biomarkers in novel associations are involved in several atherosclerotic processes including regulation of low-density lipoprotein oxidation, protein degradation and immune cell adhesion and migration. Further research into these pathways may yield new insights into how physical activity affects cardiovascular health.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Medicinska och farmaceutiska grundvetenskaper -- Läkemedelskemi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Basic Medicine -- Medicinal Chemistry (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Kardiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)

Keyword

biomarkers
cardiovascular disease
exercise
Physical activity
proteins
proteomics
Physical activity

Publication and Content Type

art (subject category)
ref (subject category)

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