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Consequences of exposure to pollutants on respiratory health: From genetic correlations to causal relationships

Modern society grew rapidly over the last few decades and this led to an alarming increase in air pollutants and a worsening of the human health, especially in relation to the respiratory system. Indeed, chronic respiratory diseases were the third main cause of death in 2017, with over 3 million of...

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Autores principales: D’Antona, Salvatore, Castiglioni, Isabella, Porro, Danilo, Cava, Claudia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671383/
https://www.ncbi.nlm.nih.gov/pubmed/36395113
http://dx.doi.org/10.1371/journal.pone.0277235
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author D’Antona, Salvatore
Castiglioni, Isabella
Porro, Danilo
Cava, Claudia
author_facet D’Antona, Salvatore
Castiglioni, Isabella
Porro, Danilo
Cava, Claudia
author_sort D’Antona, Salvatore
collection PubMed
description Modern society grew rapidly over the last few decades and this led to an alarming increase in air pollutants and a worsening of the human health, especially in relation to the respiratory system. Indeed, chronic respiratory diseases were the third main cause of death in 2017, with over 3 million of deaths. Furthermore, the pollution has considerable consequences both for burden medical expenses and environmental. However, the mechanisms linking pollutants to the onset of these diseases remain unclear. Thus, in this study we addressed this problem through the United Kingdom BioBank database, analyzing 170 genome-wide association studies (103 related to respiratory diseases and 67 related to pollutants). We analyzed the genetic correlations and causal relationships of these traits, leveraging the summary statistics and bioinformatics packages such as Linkage Disequilibrium Score Regression and Latent Causal Variable. We obtained 158 significant genetic correlations and subsequently we analyzed them through the Latent Causal Variable analysis, obtaining 20 significant causal relationships. The most significant were between "Workplace full of chemicals or other fumes: Sometimes" and “Condition that has ever been diagnosed by a doctor: Asthma” and between “Workplace very dusty: Sometimes” and “Condition that has ever been diagnosed by a doctor: Emphysema or chronic bronchitis”. Finally, we identified single nucleotide polymorphisms independently associated with sveral pollutants to analyze the genes and pathways that could be involved in the onset of the aforementioned respiratory system disorders and that could be useful clinical target. This study highlighted how crucial are the air condition of the working environments and the type of transport used in the onset of respiratory-related morbidity. Based on that, we also suggested some interventions, in order to improve quality life and develop new and eco-friendly society and life style, such as improving indoor air circulation, the use of public transport and urban reforestation.
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spelling pubmed-96713832022-11-18 Consequences of exposure to pollutants on respiratory health: From genetic correlations to causal relationships D’Antona, Salvatore Castiglioni, Isabella Porro, Danilo Cava, Claudia PLoS One Research Article Modern society grew rapidly over the last few decades and this led to an alarming increase in air pollutants and a worsening of the human health, especially in relation to the respiratory system. Indeed, chronic respiratory diseases were the third main cause of death in 2017, with over 3 million of deaths. Furthermore, the pollution has considerable consequences both for burden medical expenses and environmental. However, the mechanisms linking pollutants to the onset of these diseases remain unclear. Thus, in this study we addressed this problem through the United Kingdom BioBank database, analyzing 170 genome-wide association studies (103 related to respiratory diseases and 67 related to pollutants). We analyzed the genetic correlations and causal relationships of these traits, leveraging the summary statistics and bioinformatics packages such as Linkage Disequilibrium Score Regression and Latent Causal Variable. We obtained 158 significant genetic correlations and subsequently we analyzed them through the Latent Causal Variable analysis, obtaining 20 significant causal relationships. The most significant were between "Workplace full of chemicals or other fumes: Sometimes" and “Condition that has ever been diagnosed by a doctor: Asthma” and between “Workplace very dusty: Sometimes” and “Condition that has ever been diagnosed by a doctor: Emphysema or chronic bronchitis”. Finally, we identified single nucleotide polymorphisms independently associated with sveral pollutants to analyze the genes and pathways that could be involved in the onset of the aforementioned respiratory system disorders and that could be useful clinical target. This study highlighted how crucial are the air condition of the working environments and the type of transport used in the onset of respiratory-related morbidity. Based on that, we also suggested some interventions, in order to improve quality life and develop new and eco-friendly society and life style, such as improving indoor air circulation, the use of public transport and urban reforestation. Public Library of Science 2022-11-17 /pmc/articles/PMC9671383/ /pubmed/36395113 http://dx.doi.org/10.1371/journal.pone.0277235 Text en © 2022 D'Antona et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
D’Antona, Salvatore
Castiglioni, Isabella
Porro, Danilo
Cava, Claudia
Consequences of exposure to pollutants on respiratory health: From genetic correlations to causal relationships
title Consequences of exposure to pollutants on respiratory health: From genetic correlations to causal relationships
title_full Consequences of exposure to pollutants on respiratory health: From genetic correlations to causal relationships
title_fullStr Consequences of exposure to pollutants on respiratory health: From genetic correlations to causal relationships
title_full_unstemmed Consequences of exposure to pollutants on respiratory health: From genetic correlations to causal relationships
title_short Consequences of exposure to pollutants on respiratory health: From genetic correlations to causal relationships
title_sort consequences of exposure to pollutants on respiratory health: from genetic correlations to causal relationships
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671383/
https://www.ncbi.nlm.nih.gov/pubmed/36395113
http://dx.doi.org/10.1371/journal.pone.0277235
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