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The Relationship between Metabolic Syndrome and Plasma Metals Modified by EGFR and TNF-α Gene Polymorphisms

With the escalating global prevalence of metabolic syndrome (MetS), it is crucial to detect the high-risk population early and to prevent chronic diseases. Exposure to various metals has been indicated to promote MetS, but the findings were controversial, and the effect of genetic modification was n...

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Autores principales: Chen, Tzu-Hua, Kung, Wei-Shyang, Sun, Hung-Yu, Huang, Joh-Jong, Lu, Jia-Yi, Luo, Kuei-Hau, Chuang, Hung-Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473312/
https://www.ncbi.nlm.nih.gov/pubmed/34564376
http://dx.doi.org/10.3390/toxics9090225
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author Chen, Tzu-Hua
Kung, Wei-Shyang
Sun, Hung-Yu
Huang, Joh-Jong
Lu, Jia-Yi
Luo, Kuei-Hau
Chuang, Hung-Yi
author_facet Chen, Tzu-Hua
Kung, Wei-Shyang
Sun, Hung-Yu
Huang, Joh-Jong
Lu, Jia-Yi
Luo, Kuei-Hau
Chuang, Hung-Yi
author_sort Chen, Tzu-Hua
collection PubMed
description With the escalating global prevalence of metabolic syndrome (MetS), it is crucial to detect the high-risk population early and to prevent chronic diseases. Exposure to various metals has been indicated to promote MetS, but the findings were controversial, and the effect of genetic modification was not considered. Epidermal growth factor receptor (EGFR) was proposed to be involved in the pathway of metabolic disorders, and tumor necrotic factor-α (TNF-α) was regarded as an early inflammatory biomarker for MetS. This research aimed to analyze the impact of EGFR and TNF-α gene polymorphisms on the prevalence of MetS under environmental or occupational exposure to metals. We gathered data from 376 metal industrial workers and 639 non-metal workers, including physical parameters, biochemical data, and plasma concentrations of six metals. According to the genomic database of Taiwan Biobank, 23 single nucleotide polymorphisms (SNPs) on EGFR gene and 6 SNPs on TNF-α gene were incorporated in our research. We applied multivariable logistic regression to analyze the probability of MetS with various SNPs and metals. Our study revealed some susceptible and protective EGFR and TNF-α genotypes under excessive exposure to cobalt, zinc, selenium, and lead. Thus, we remind the high-risk population of taking measures to prevent MetS.
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spelling pubmed-84733122021-09-28 The Relationship between Metabolic Syndrome and Plasma Metals Modified by EGFR and TNF-α Gene Polymorphisms Chen, Tzu-Hua Kung, Wei-Shyang Sun, Hung-Yu Huang, Joh-Jong Lu, Jia-Yi Luo, Kuei-Hau Chuang, Hung-Yi Toxics Article With the escalating global prevalence of metabolic syndrome (MetS), it is crucial to detect the high-risk population early and to prevent chronic diseases. Exposure to various metals has been indicated to promote MetS, but the findings were controversial, and the effect of genetic modification was not considered. Epidermal growth factor receptor (EGFR) was proposed to be involved in the pathway of metabolic disorders, and tumor necrotic factor-α (TNF-α) was regarded as an early inflammatory biomarker for MetS. This research aimed to analyze the impact of EGFR and TNF-α gene polymorphisms on the prevalence of MetS under environmental or occupational exposure to metals. We gathered data from 376 metal industrial workers and 639 non-metal workers, including physical parameters, biochemical data, and plasma concentrations of six metals. According to the genomic database of Taiwan Biobank, 23 single nucleotide polymorphisms (SNPs) on EGFR gene and 6 SNPs on TNF-α gene were incorporated in our research. We applied multivariable logistic regression to analyze the probability of MetS with various SNPs and metals. Our study revealed some susceptible and protective EGFR and TNF-α genotypes under excessive exposure to cobalt, zinc, selenium, and lead. Thus, we remind the high-risk population of taking measures to prevent MetS. MDPI 2021-09-16 /pmc/articles/PMC8473312/ /pubmed/34564376 http://dx.doi.org/10.3390/toxics9090225 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Tzu-Hua
Kung, Wei-Shyang
Sun, Hung-Yu
Huang, Joh-Jong
Lu, Jia-Yi
Luo, Kuei-Hau
Chuang, Hung-Yi
The Relationship between Metabolic Syndrome and Plasma Metals Modified by EGFR and TNF-α Gene Polymorphisms
title The Relationship between Metabolic Syndrome and Plasma Metals Modified by EGFR and TNF-α Gene Polymorphisms
title_full The Relationship between Metabolic Syndrome and Plasma Metals Modified by EGFR and TNF-α Gene Polymorphisms
title_fullStr The Relationship between Metabolic Syndrome and Plasma Metals Modified by EGFR and TNF-α Gene Polymorphisms
title_full_unstemmed The Relationship between Metabolic Syndrome and Plasma Metals Modified by EGFR and TNF-α Gene Polymorphisms
title_short The Relationship between Metabolic Syndrome and Plasma Metals Modified by EGFR and TNF-α Gene Polymorphisms
title_sort relationship between metabolic syndrome and plasma metals modified by egfr and tnf-α gene polymorphisms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473312/
https://www.ncbi.nlm.nih.gov/pubmed/34564376
http://dx.doi.org/10.3390/toxics9090225
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