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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
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.
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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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