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Association between adiposity and facial aging: results from a Mendelian randomization study

BACKGROUND: Skin, as a sociologically meaningful interface, has psychological implications different from other organs, particularly in the context of the global population aging. Growing evidence suggests that facial aging is associated with an increased risk of adiposity. Existing research, howeve...

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Autores principales: Liu, Meiqi, Feng, Jingwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503104/
https://www.ncbi.nlm.nih.gov/pubmed/37715292
http://dx.doi.org/10.1186/s40001-023-01236-x
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author Liu, Meiqi
Feng, Jingwei
author_facet Liu, Meiqi
Feng, Jingwei
author_sort Liu, Meiqi
collection PubMed
description BACKGROUND: Skin, as a sociologically meaningful interface, has psychological implications different from other organs, particularly in the context of the global population aging. Growing evidence suggests that facial aging is associated with an increased risk of adiposity. Existing research, however, were observational, and while they may find some correlations, it is difficult to simply disentangle non-causal or reverse-causal links because these associations may be confounded or fail to accurately reflect true causative linkages. OBJECTIVES: We conducted a 2-sample Mendelian randomization (MR) study to examine the potential effect of facial aging on the risk of broad obesity and its three major adiposity indicators, including body mass index (BMI), body fat percentage (BF%) and waist circumference (WC). METHODS: Genetic instruments from IEU OpenGWAS project, one of the largest available genome-wide association studies (GWAS) for facial aging (423,999 samples) were used to investigate the relation to broad obesity (32,858 cases, 65,839 controls). Using the inverse-variance weighted (IVW) technique, single nucleotide polymorphisms (SNPs) associated with adiposity indicators (BMI (461,460 samples), BF% (454,633 samples), and WC (462,166 samples)) were investigated in relationship to facial aging. Further sensitivity analyses were performed, including Mendelian randomization-Egger (MR-Egger), weighted median estimates, and leave-one-out analysis, to evaluate the consistency of the results and related potential issues in MR studies. RESULTS: We identified strong and significant correlations between adiposity and facial aging in the 17 broad obesity-associated SNPs (IVW estimate of odds ratio OR = 1.020, 95% CI 1.010–1.029, P = 7.303e − 05), 458 BMI-associated SNPs (IVW estimate of odds ratio OR = 1.047, 95% CI 1.0357–1.058, P = 1.154e − 16),for the 395 BF%-associated SNPs (OR = 1.056, 95%CI 1.040–1.072,P = 7.617e − 12), or for the 374 WC-associated SNPs (OR = 1.072, 95% CI 1057–1.087,P = 1.229e − 23). A range of complementary methodologies have been employed to evaluate horizontal pleiotropy and related potential caveats occurring in MR research. CONCLUSIONS: Using Mendelian randomization as an alternative approach to investigate causality, we found a causal relationship between adiposity and facial aging, which was statistically strong and significant. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40001-023-01236-x.
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spelling pubmed-105031042023-09-16 Association between adiposity and facial aging: results from a Mendelian randomization study Liu, Meiqi Feng, Jingwei Eur J Med Res Research BACKGROUND: Skin, as a sociologically meaningful interface, has psychological implications different from other organs, particularly in the context of the global population aging. Growing evidence suggests that facial aging is associated with an increased risk of adiposity. Existing research, however, were observational, and while they may find some correlations, it is difficult to simply disentangle non-causal or reverse-causal links because these associations may be confounded or fail to accurately reflect true causative linkages. OBJECTIVES: We conducted a 2-sample Mendelian randomization (MR) study to examine the potential effect of facial aging on the risk of broad obesity and its three major adiposity indicators, including body mass index (BMI), body fat percentage (BF%) and waist circumference (WC). METHODS: Genetic instruments from IEU OpenGWAS project, one of the largest available genome-wide association studies (GWAS) for facial aging (423,999 samples) were used to investigate the relation to broad obesity (32,858 cases, 65,839 controls). Using the inverse-variance weighted (IVW) technique, single nucleotide polymorphisms (SNPs) associated with adiposity indicators (BMI (461,460 samples), BF% (454,633 samples), and WC (462,166 samples)) were investigated in relationship to facial aging. Further sensitivity analyses were performed, including Mendelian randomization-Egger (MR-Egger), weighted median estimates, and leave-one-out analysis, to evaluate the consistency of the results and related potential issues in MR studies. RESULTS: We identified strong and significant correlations between adiposity and facial aging in the 17 broad obesity-associated SNPs (IVW estimate of odds ratio OR = 1.020, 95% CI 1.010–1.029, P = 7.303e − 05), 458 BMI-associated SNPs (IVW estimate of odds ratio OR = 1.047, 95% CI 1.0357–1.058, P = 1.154e − 16),for the 395 BF%-associated SNPs (OR = 1.056, 95%CI 1.040–1.072,P = 7.617e − 12), or for the 374 WC-associated SNPs (OR = 1.072, 95% CI 1057–1.087,P = 1.229e − 23). A range of complementary methodologies have been employed to evaluate horizontal pleiotropy and related potential caveats occurring in MR research. CONCLUSIONS: Using Mendelian randomization as an alternative approach to investigate causality, we found a causal relationship between adiposity and facial aging, which was statistically strong and significant. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40001-023-01236-x. BioMed Central 2023-09-15 /pmc/articles/PMC10503104/ /pubmed/37715292 http://dx.doi.org/10.1186/s40001-023-01236-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Liu, Meiqi
Feng, Jingwei
Association between adiposity and facial aging: results from a Mendelian randomization study
title Association between adiposity and facial aging: results from a Mendelian randomization study
title_full Association between adiposity and facial aging: results from a Mendelian randomization study
title_fullStr Association between adiposity and facial aging: results from a Mendelian randomization study
title_full_unstemmed Association between adiposity and facial aging: results from a Mendelian randomization study
title_short Association between adiposity and facial aging: results from a Mendelian randomization study
title_sort association between adiposity and facial aging: results from a mendelian randomization study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503104/
https://www.ncbi.nlm.nih.gov/pubmed/37715292
http://dx.doi.org/10.1186/s40001-023-01236-x
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