Schillemans, Tessa and Tragante, Vinicius and Maitusong, Buamina and Gigante, Bruna and Cresci, Sharon and Laguzzi, Federica and Vikstrom, Max and Richards, Mark and Pilbrow, Anna and Cameron, Vicky and Foco, Luisa and Doughty, Robert N. and Kuukasjarvi, Pekka and Allayee, Hooman and Hartiala, Jaana A. and Tang, W. H. Wilson and Lyytikainen, Leo-Pekka and Nikus, Kjell and Laurikka, Jari O. and Srinivasan, Sundararajan and Mordi, Ify R. and Trompet, Stella and Kraaijeveld, Adriaan and van Setten, Jessica and Gijsberts, Crystel M. and Maitland-van der Zee, Anke H. and Saely, Christoph H. and Gong, Yan and Johnson, Julie A. and Cooper-DeHoff, Rhonda M. and Pepine, Carl J. and Casu, Gavino and Leiherer, Andreas and Drexel, Heinz and Horne, Benjamin D. and van der Laan, Sander W. and Marziliano, Nicola and Hazen, Stanley L. and Sinisalo, Juha and Kahonen, Mika and Lehtimaki, Terho and Lang, Chim C. and Burkhardt, Ralph and Scholz, Markus and Jukema, J. Wouter and Eriksson, Niclas and Akerblom, Axel and James, Stefan and Held, Claes and Hagstrom, Emil and Spertus, John A. and Algra, Ale and de Faire, Ulf and Akesson, Agneta and Asselbergs, Folkert W. and Patel, Riyaz S. and Leander, Karin (2022) Associations of Polymorphisms in the Peroxisome Proliferator-Activated Receptor Gamma Coactivator-1 Alpha Gene With Subsequent Coronary Heart Disease: An Individual-Level Meta-Analysis. FRONTIERS IN PHYSIOLOGY, 13: 909870. ISSN , 1664-042X
Full text not available from this repository. (Request a copy)Abstract
Background: The knowledge of factors influencing disease progression in patients with established coronary heart disease (CHD) is still relatively limited. One potential pathway is related to peroxisome proliferator-activated receptor gamma coactivator-1 alpha (PPARGC1A), a transcription factor linked to energy metabolism which may play a role in the heart function. Thus, its associations with subsequent CHD events remain unclear. We aimed to investigate the effect of three different SNPs in the PPARGC1A gene on the risk of subsequent CHD in a population with established CHD.Methods: We employed an individual-level meta-analysis using 23 studies from the GENetIcs of sUbSequent Coronary Heart Disease (GENIUS-CHD) consortium, which included participants (n = 80,900) with either acute coronary syndrome, stable CHD, or a mixture of both at baseline. Three variants in the PPARGC1A gene (rs8192678, G482S; rs7672915, intron 2; and rs3755863, T528T) were tested for their associations with subsequent events during the follow-up using a Cox proportional hazards model adjusted for age and sex. The primary outcome was subsequent CHD death or myocardial infarction (CHD death/myocardial infarction). Stratified analyses of the participant or study characteristics as well as additional analyses for secondary outcomes of specific cardiovascular disease diagnoses and all-cause death were also performed.Results: Meta-analysis revealed no significant association between any of the three variants in the PPARGC1A gene and the primary outcome of CHD death/myocardial infarction among those with established CHD at baseline: rs8192678, hazard ratio (HR): 1.01, 95% confidence interval (CI) 0.98-1.05 and rs7672915, HR: 0.97, 95% CI 0.94-1.00; rs3755863, HR: 1.02, 95% CI 0.99-1.06. Similarly, no significant associations were observed for any of the secondary outcomes. The results from stratified analyses showed null results, except for significant inverse associations between rs7672915 (intron 2) and the primary outcome among 1) individuals aged >= 65, 2) individuals with renal impairment, and 3) antiplatelet users.Conclusion: We found no clear associations between polymorphisms in the PPARGC1A gene and subsequent CHD events in patients with established CHD at baseline.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | GLY482SER POLYMORPHISM; ARTERY-DISEASE; PPAR-GAMMA; PGC-1-ALPHA; PGC-1; RISK; VARIANT; HYPERTENSION; ARCHITECTURE; PGC1-ALPHA; polymorphisms; PPARGC1A; meta-analysis; SNPs; coronary heart disease; cohort studies |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Klinische Chemie und Laboratoriumsmedizin |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 19 Sep 2023 09:51 |
| Last Modified: | 19 Sep 2023 09:51 |
| URI: | https://pred.uni-regensburg.de/id/eprint/58831 |
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