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The Cardiovascular Impact and Genetics of Pericardial Adiposity
BACKGROUND: While previous studies have reported associations of pericardial adipose tissue (PAT) with cardiovascular diseases such as atrial fibrillation and coronary artery disease, they have been limited in sample size or drawn from selected populations. Additionally, the genetic determinants of...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371191/ https://www.ncbi.nlm.nih.gov/pubmed/37502935 http://dx.doi.org/10.1101/2023.07.16.23292729 |
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author | Rämö, Joel T Kany, Shinwan Hou, Cody R Friedman, Samuel F Roselli, Carolina Nauffal, Victor Koyama, Satoshi Karjalainen, Juha Maddah, Mahnaz Palotie, Aarno Ellinor, Patrick T Pirruccello, James P |
author_facet | Rämö, Joel T Kany, Shinwan Hou, Cody R Friedman, Samuel F Roselli, Carolina Nauffal, Victor Koyama, Satoshi Karjalainen, Juha Maddah, Mahnaz Palotie, Aarno Ellinor, Patrick T Pirruccello, James P |
author_sort | Rämö, Joel T |
collection | PubMed |
description | BACKGROUND: While previous studies have reported associations of pericardial adipose tissue (PAT) with cardiovascular diseases such as atrial fibrillation and coronary artery disease, they have been limited in sample size or drawn from selected populations. Additionally, the genetic determinants of PAT remain largely unknown. We aimed to evaluate the association of PAT with prevalent and incident cardiovascular disease and to elucidate the genetic basis of PAT in a large population cohort. METHODS: A deep learning model was trained to quantify PAT area from four-chamber magnetic resonance images in the UK Biobank using semantic segmentation. Cross-sectional and prospective cardiovascular disease associations were evaluated, controlling for sex and age. A genome-wide association study was performed, and a polygenic score (PGS) for PAT was examined in 453,733 independent FinnGen study participants. RESULTS: A total of 44,725 UK Biobank participants (51.7% female, mean [SD] age 64.1 [7.7] years) were included. PAT was positively associated with male sex (β = +0.76 SD in PAT), age (r = 0.15), body mass index (BMI; r = 0.47) and waist-to-hip ratio (r = 0.55) (P < 1×10(−230)). PAT was more elevated in prevalent heart failure (β = +0.46 SD units) and type 2 diabetes (β = +0.56) than in coronary artery disease (β = +0.22) or AF (β = +0.18). PAT was associated with incident heart failure (HR = 1.29 per +1 SD in PAT [95% CI 1.17–1.43]) and type 2 diabetes (HR = 1.63 [1.51–1.76]) during a mean 3.2 (±1.5) years of follow-up; the associations remained significant when controlling for BMI. We identified 5 novel genetic loci for PAT and implicated transcriptional regulators of adipocyte morphology and brown adipogenesis (EBF1, EBF2 and CEBPA) and regulators of visceral adiposity (WARS2 and TRIB2). The PAT PGS was associated with T2D, heart failure, coronary artery disease and atrial fibrillation in FinnGen (ORs 1.03–1.06 per +1 SD in PGS, P < 2×10(−10)). CONCLUSIONS: PAT shares genetic determinants with abdominal adiposity and is an independent predictor of incident type 2 diabetes and heart failure. |
format | Online Article Text |
id | pubmed-10371191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-103711912023-07-27 The Cardiovascular Impact and Genetics of Pericardial Adiposity Rämö, Joel T Kany, Shinwan Hou, Cody R Friedman, Samuel F Roselli, Carolina Nauffal, Victor Koyama, Satoshi Karjalainen, Juha Maddah, Mahnaz Palotie, Aarno Ellinor, Patrick T Pirruccello, James P medRxiv Article BACKGROUND: While previous studies have reported associations of pericardial adipose tissue (PAT) with cardiovascular diseases such as atrial fibrillation and coronary artery disease, they have been limited in sample size or drawn from selected populations. Additionally, the genetic determinants of PAT remain largely unknown. We aimed to evaluate the association of PAT with prevalent and incident cardiovascular disease and to elucidate the genetic basis of PAT in a large population cohort. METHODS: A deep learning model was trained to quantify PAT area from four-chamber magnetic resonance images in the UK Biobank using semantic segmentation. Cross-sectional and prospective cardiovascular disease associations were evaluated, controlling for sex and age. A genome-wide association study was performed, and a polygenic score (PGS) for PAT was examined in 453,733 independent FinnGen study participants. RESULTS: A total of 44,725 UK Biobank participants (51.7% female, mean [SD] age 64.1 [7.7] years) were included. PAT was positively associated with male sex (β = +0.76 SD in PAT), age (r = 0.15), body mass index (BMI; r = 0.47) and waist-to-hip ratio (r = 0.55) (P < 1×10(−230)). PAT was more elevated in prevalent heart failure (β = +0.46 SD units) and type 2 diabetes (β = +0.56) than in coronary artery disease (β = +0.22) or AF (β = +0.18). PAT was associated with incident heart failure (HR = 1.29 per +1 SD in PAT [95% CI 1.17–1.43]) and type 2 diabetes (HR = 1.63 [1.51–1.76]) during a mean 3.2 (±1.5) years of follow-up; the associations remained significant when controlling for BMI. We identified 5 novel genetic loci for PAT and implicated transcriptional regulators of adipocyte morphology and brown adipogenesis (EBF1, EBF2 and CEBPA) and regulators of visceral adiposity (WARS2 and TRIB2). The PAT PGS was associated with T2D, heart failure, coronary artery disease and atrial fibrillation in FinnGen (ORs 1.03–1.06 per +1 SD in PGS, P < 2×10(−10)). CONCLUSIONS: PAT shares genetic determinants with abdominal adiposity and is an independent predictor of incident type 2 diabetes and heart failure. Cold Spring Harbor Laboratory 2023-07-18 /pmc/articles/PMC10371191/ /pubmed/37502935 http://dx.doi.org/10.1101/2023.07.16.23292729 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Rämö, Joel T Kany, Shinwan Hou, Cody R Friedman, Samuel F Roselli, Carolina Nauffal, Victor Koyama, Satoshi Karjalainen, Juha Maddah, Mahnaz Palotie, Aarno Ellinor, Patrick T Pirruccello, James P The Cardiovascular Impact and Genetics of Pericardial Adiposity |
title | The Cardiovascular Impact and Genetics of Pericardial Adiposity |
title_full | The Cardiovascular Impact and Genetics of Pericardial Adiposity |
title_fullStr | The Cardiovascular Impact and Genetics of Pericardial Adiposity |
title_full_unstemmed | The Cardiovascular Impact and Genetics of Pericardial Adiposity |
title_short | The Cardiovascular Impact and Genetics of Pericardial Adiposity |
title_sort | cardiovascular impact and genetics of pericardial adiposity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371191/ https://www.ncbi.nlm.nih.gov/pubmed/37502935 http://dx.doi.org/10.1101/2023.07.16.23292729 |
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