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Impact of body composition on COVID-19 susceptibility and severity: A two-sample multivariable Mendelian randomization study

OBJECTIVES: Recent studies suggested obesity to be a possible risk factor for COVID-19 disease in the wake of the coronavirus (SARS-CoV-2) infection. However, the causality and especially the role of body fat distribution in this context is still unclear. Thus, using a univariable as well as multiva...

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Autores principales: Freuer, Dennis, Linseisen, Jakob, Meisinger, Christa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900753/
https://www.ncbi.nlm.nih.gov/pubmed/33631142
http://dx.doi.org/10.1016/j.metabol.2021.154732
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author Freuer, Dennis
Linseisen, Jakob
Meisinger, Christa
author_facet Freuer, Dennis
Linseisen, Jakob
Meisinger, Christa
author_sort Freuer, Dennis
collection PubMed
description OBJECTIVES: Recent studies suggested obesity to be a possible risk factor for COVID-19 disease in the wake of the coronavirus (SARS-CoV-2) infection. However, the causality and especially the role of body fat distribution in this context is still unclear. Thus, using a univariable as well as multivariable two-sample Mendelian randomization (MR) approach, we investigated for the first time the causal impact of body composition on the susceptibility and severity of COVID-19. METHODS: As indicators of overall and abdominal obesity we considered the measures body mass index (BMI), waist circumference (WC), and trunk fat ratio (TFR). Summary statistics of genome-wide association studies (GWASs) for these body composition measures were drawn from the GIANT consortium and UK Biobank, while for susceptibility and severity due to COVID-19 disease data from the COVID-19 Host Genetics Initiative was used. For the COVID-19 cohort neither age nor gender was available. Total and direct causal effect estimates were calculated using Single Nucleotide Polymorphisms (SNPs), sensitivity analyses were done applying several robust MR techniques and mediation effects of type 2 diabetes (T2D) and cardiovascular diseases (CVD) were investigated within multivariable MR analyses. RESULTS: Genetically predicted BMI was strongly associated with both, susceptibility (OR = 1.31 per 1 SD increase; 95% CI: 1.15–1.50; P-value = 7.3·10(−5)) and hospitalization (OR = 1.62 per 1 SD increase; 95% CI: 1.33–1.99; P-value = 2.8·10(−6)) even after adjustment for genetically predicted visceral obesity traits. These associations were neither mediated substantially by T2D nor by CVD. Finally, total but not direct effects of visceral body fat on outcomes could be detected. CONCLUSIONS: This study provides strong evidence for a causal impact of overall obesity on the susceptibility and severity of COVID-19 disease. The impact of abdominal obesity was weaker and disappeared after adjustment for BMI. Therefore, obese people should be regarded as a high-risk group. Future research is necessary to investigate the underlying mechanisms linking obesity with COVID-19.
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spelling pubmed-79007532021-02-23 Impact of body composition on COVID-19 susceptibility and severity: A two-sample multivariable Mendelian randomization study Freuer, Dennis Linseisen, Jakob Meisinger, Christa Metabolism COVID-19 in Metabolism OBJECTIVES: Recent studies suggested obesity to be a possible risk factor for COVID-19 disease in the wake of the coronavirus (SARS-CoV-2) infection. However, the causality and especially the role of body fat distribution in this context is still unclear. Thus, using a univariable as well as multivariable two-sample Mendelian randomization (MR) approach, we investigated for the first time the causal impact of body composition on the susceptibility and severity of COVID-19. METHODS: As indicators of overall and abdominal obesity we considered the measures body mass index (BMI), waist circumference (WC), and trunk fat ratio (TFR). Summary statistics of genome-wide association studies (GWASs) for these body composition measures were drawn from the GIANT consortium and UK Biobank, while for susceptibility and severity due to COVID-19 disease data from the COVID-19 Host Genetics Initiative was used. For the COVID-19 cohort neither age nor gender was available. Total and direct causal effect estimates were calculated using Single Nucleotide Polymorphisms (SNPs), sensitivity analyses were done applying several robust MR techniques and mediation effects of type 2 diabetes (T2D) and cardiovascular diseases (CVD) were investigated within multivariable MR analyses. RESULTS: Genetically predicted BMI was strongly associated with both, susceptibility (OR = 1.31 per 1 SD increase; 95% CI: 1.15–1.50; P-value = 7.3·10(−5)) and hospitalization (OR = 1.62 per 1 SD increase; 95% CI: 1.33–1.99; P-value = 2.8·10(−6)) even after adjustment for genetically predicted visceral obesity traits. These associations were neither mediated substantially by T2D nor by CVD. Finally, total but not direct effects of visceral body fat on outcomes could be detected. CONCLUSIONS: This study provides strong evidence for a causal impact of overall obesity on the susceptibility and severity of COVID-19 disease. The impact of abdominal obesity was weaker and disappeared after adjustment for BMI. Therefore, obese people should be regarded as a high-risk group. Future research is necessary to investigate the underlying mechanisms linking obesity with COVID-19. The Author(s). Published by Elsevier Inc. 2021-05 2021-02-23 /pmc/articles/PMC7900753/ /pubmed/33631142 http://dx.doi.org/10.1016/j.metabol.2021.154732 Text en © 2021 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle COVID-19 in Metabolism
Freuer, Dennis
Linseisen, Jakob
Meisinger, Christa
Impact of body composition on COVID-19 susceptibility and severity: A two-sample multivariable Mendelian randomization study
title Impact of body composition on COVID-19 susceptibility and severity: A two-sample multivariable Mendelian randomization study
title_full Impact of body composition on COVID-19 susceptibility and severity: A two-sample multivariable Mendelian randomization study
title_fullStr Impact of body composition on COVID-19 susceptibility and severity: A two-sample multivariable Mendelian randomization study
title_full_unstemmed Impact of body composition on COVID-19 susceptibility and severity: A two-sample multivariable Mendelian randomization study
title_short Impact of body composition on COVID-19 susceptibility and severity: A two-sample multivariable Mendelian randomization study
title_sort impact of body composition on covid-19 susceptibility and severity: a two-sample multivariable mendelian randomization study
topic COVID-19 in Metabolism
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900753/
https://www.ncbi.nlm.nih.gov/pubmed/33631142
http://dx.doi.org/10.1016/j.metabol.2021.154732
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