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Susceptibility of prediabetes to the health effect of air pollution: a community-based panel study with a nested case-control design
BACKGROUND: Recent studies suggest that people with diabetes or who are at risk of developing diabetes, i.e. prediabetic (preDM), are potentially susceptible to air pollution, but the underlying mechanisms remain unclear because the existing epidemiological studies did not include healthy control gr...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631920/ https://www.ncbi.nlm.nih.gov/pubmed/31307478 http://dx.doi.org/10.1186/s12940-019-0502-6 |
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author | Han, Yiqun Wang, Yanwen Li, Weiju Chen, Xi Xue, Tao Chen, Wu Fan, Yunfei Qiu, Xinghua Zhu, Tong |
author_facet | Han, Yiqun Wang, Yanwen Li, Weiju Chen, Xi Xue, Tao Chen, Wu Fan, Yunfei Qiu, Xinghua Zhu, Tong |
author_sort | Han, Yiqun |
collection | PubMed |
description | BACKGROUND: Recent studies suggest that people with diabetes or who are at risk of developing diabetes, i.e. prediabetic (preDM), are potentially susceptible to air pollution, but the underlying mechanisms remain unclear because the existing epidemiological studies did not include healthy control groups and only focused on limited health outcomes. We hypothesized that acute exposure to ambient fine particles (PM(2.5)) will lead to enhanced pulmonary and cardiometabolic changes in preDM than healthy individuals. METHODS: We recruited 60 preDM and 60 healthy individuals from a community of 22,343 adults in Beijing China, and arranged each subject to complete up to seven repeated clinical visits with measures of 6 cardiopulmonary biomarkers, 6 cytokines, 4 blood pressure and endothelial function outcomes and 4 glucose metabolism biomarkers.. Moving averaged daily ambient PM(2.5) in preceding 1–14 days was matched to each subject and the PM(2.5) associated effect on multiple biomarkers was estimated and compared between PreDM and healthy subjects based on linear mixed effect model. RESULTS: All the subjects exhibited significant acute elevation of exhaled nitric oxide, white blood cells, neutrophils, interleukin-1α, and glycated haemoglobin with increased exposure to PM(2.5). PreDM subjects had significant stronger adverse changes compared to healthy subjects in 6 cardiometabolic biomarkers, namely, interleukin-2, interleukin-8, systolic and diastolic blood pressure, augmentation pressure, and glucose. The maximum elevation of these 6 biomarkers in PreDM subjects were 8.6% [CI: 4.1–13.3%], 10.0% [CI: 3.9–16.4%], 1.9% [CI: 0.2–3.6%], 1.2% [CI: − 0.1-2.4%], 5.7% [CI: − 0.1-11.8%], 2.4% [CI: 0.7–4.2%], respectively, per an interquartile increase of ambient PM(2.5) (61.4 μg m(− 3)) throughout the exposure window of the preceding 1–14 days. No significant difference was observed for the changes in pulmonary biomarkers between the two groups. CONCLUSIONS: PreDM individuals are more susceptible to the acute cardiometabolic effect of air pollution than the healthy individuals. A considerable public health burden can be inferred, given the high prevalence of prediabetes and the ubiquity of air pollution in China and worldwide. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12940-019-0502-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6631920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66319202019-07-24 Susceptibility of prediabetes to the health effect of air pollution: a community-based panel study with a nested case-control design Han, Yiqun Wang, Yanwen Li, Weiju Chen, Xi Xue, Tao Chen, Wu Fan, Yunfei Qiu, Xinghua Zhu, Tong Environ Health Research BACKGROUND: Recent studies suggest that people with diabetes or who are at risk of developing diabetes, i.e. prediabetic (preDM), are potentially susceptible to air pollution, but the underlying mechanisms remain unclear because the existing epidemiological studies did not include healthy control groups and only focused on limited health outcomes. We hypothesized that acute exposure to ambient fine particles (PM(2.5)) will lead to enhanced pulmonary and cardiometabolic changes in preDM than healthy individuals. METHODS: We recruited 60 preDM and 60 healthy individuals from a community of 22,343 adults in Beijing China, and arranged each subject to complete up to seven repeated clinical visits with measures of 6 cardiopulmonary biomarkers, 6 cytokines, 4 blood pressure and endothelial function outcomes and 4 glucose metabolism biomarkers.. Moving averaged daily ambient PM(2.5) in preceding 1–14 days was matched to each subject and the PM(2.5) associated effect on multiple biomarkers was estimated and compared between PreDM and healthy subjects based on linear mixed effect model. RESULTS: All the subjects exhibited significant acute elevation of exhaled nitric oxide, white blood cells, neutrophils, interleukin-1α, and glycated haemoglobin with increased exposure to PM(2.5). PreDM subjects had significant stronger adverse changes compared to healthy subjects in 6 cardiometabolic biomarkers, namely, interleukin-2, interleukin-8, systolic and diastolic blood pressure, augmentation pressure, and glucose. The maximum elevation of these 6 biomarkers in PreDM subjects were 8.6% [CI: 4.1–13.3%], 10.0% [CI: 3.9–16.4%], 1.9% [CI: 0.2–3.6%], 1.2% [CI: − 0.1-2.4%], 5.7% [CI: − 0.1-11.8%], 2.4% [CI: 0.7–4.2%], respectively, per an interquartile increase of ambient PM(2.5) (61.4 μg m(− 3)) throughout the exposure window of the preceding 1–14 days. No significant difference was observed for the changes in pulmonary biomarkers between the two groups. CONCLUSIONS: PreDM individuals are more susceptible to the acute cardiometabolic effect of air pollution than the healthy individuals. A considerable public health burden can be inferred, given the high prevalence of prediabetes and the ubiquity of air pollution in China and worldwide. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12940-019-0502-6) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-15 /pmc/articles/PMC6631920/ /pubmed/31307478 http://dx.doi.org/10.1186/s12940-019-0502-6 Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Han, Yiqun Wang, Yanwen Li, Weiju Chen, Xi Xue, Tao Chen, Wu Fan, Yunfei Qiu, Xinghua Zhu, Tong Susceptibility of prediabetes to the health effect of air pollution: a community-based panel study with a nested case-control design |
title | Susceptibility of prediabetes to the health effect of air pollution: a community-based panel study with a nested case-control design |
title_full | Susceptibility of prediabetes to the health effect of air pollution: a community-based panel study with a nested case-control design |
title_fullStr | Susceptibility of prediabetes to the health effect of air pollution: a community-based panel study with a nested case-control design |
title_full_unstemmed | Susceptibility of prediabetes to the health effect of air pollution: a community-based panel study with a nested case-control design |
title_short | Susceptibility of prediabetes to the health effect of air pollution: a community-based panel study with a nested case-control design |
title_sort | susceptibility of prediabetes to the health effect of air pollution: a community-based panel study with a nested case-control design |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631920/ https://www.ncbi.nlm.nih.gov/pubmed/31307478 http://dx.doi.org/10.1186/s12940-019-0502-6 |
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