Respiratory inflammation and short-term ambient air pollution exposures in adult beijing residents with and without prediabetes: a panel study
File(s)
Published version
Author(s)
Type
Journal Article
Abstract
Background:
Accumulating evidence suggests that individuals with glucose metabolism disorders are susceptible to mortality associated with fine particles. However, the mechanisms remain largely unknown.
Objectives:
We examined whether particle-associated respiratory inflammation differed between individuals with prediabetes and healthy control participants.
Methods:
Based on a panel study [A prospective Study COmparing the cardiometabolic and respiratory effects of air Pollution Exposure on healthy and prediabetic individuals (SCOPE)] conducted in Beijing between August 2013 and February 2015, fractional exhaled nitric oxide (FeNO) was measured from 112 participants at two to seven visits to indicate respiratory inflammation. Particulate pollutants—including particulate matter with an aerodynamic diameter of ≤2.5μm (PM2.5), black carbon (BC), ultrafine particles (UFPs), and accumulated-mode particles—were monitored continuously at a single central monitoring site. Linear mixed-effects models were used to estimate associations between ln-FeNO with pollutant concentrations at individual 1-h lags (up to 24 h) and with average concentrations at 8 and 24 h before the clinical visit. We evaluated glucose metabolism disorders as a potential modifier by comparing associations between participants with high vs. low average fasting blood glucose (FBG) and homeostasis model assessment insulin resistance (HOMA-IR) levels.
Results:
FeNO was positively associated with all pollutants, with the strongest associations for an interquartile range increase in 1-h lagged exposures (ranging from 21.3% for PM2.5 to 74.7% for BC). Associations differed significantly according to average HOMA-IR values when lagged 6–18 h for PM2.5, 15–19 h for BC, and 6–15 h for UFPs, with positive associations among those with HOMA-IR≥1.6 while associations were closer to the null or inverse among those with HOMA-IR<1.6. Associations between PM2.5 and FeNO were consistently higher among individuals with average FBG≥6.1 mmol/L vs. low FBG, with significant differences for multiple hourly lags.
Discussion:
Glucose metabolism disorders may aggravate respiratory inflammation following exposure to ambient particulate matter. https://doi.org/10.1289/EHP4906
Accumulating evidence suggests that individuals with glucose metabolism disorders are susceptible to mortality associated with fine particles. However, the mechanisms remain largely unknown.
Objectives:
We examined whether particle-associated respiratory inflammation differed between individuals with prediabetes and healthy control participants.
Methods:
Based on a panel study [A prospective Study COmparing the cardiometabolic and respiratory effects of air Pollution Exposure on healthy and prediabetic individuals (SCOPE)] conducted in Beijing between August 2013 and February 2015, fractional exhaled nitric oxide (FeNO) was measured from 112 participants at two to seven visits to indicate respiratory inflammation. Particulate pollutants—including particulate matter with an aerodynamic diameter of ≤2.5μm (PM2.5), black carbon (BC), ultrafine particles (UFPs), and accumulated-mode particles—were monitored continuously at a single central monitoring site. Linear mixed-effects models were used to estimate associations between ln-FeNO with pollutant concentrations at individual 1-h lags (up to 24 h) and with average concentrations at 8 and 24 h before the clinical visit. We evaluated glucose metabolism disorders as a potential modifier by comparing associations between participants with high vs. low average fasting blood glucose (FBG) and homeostasis model assessment insulin resistance (HOMA-IR) levels.
Results:
FeNO was positively associated with all pollutants, with the strongest associations for an interquartile range increase in 1-h lagged exposures (ranging from 21.3% for PM2.5 to 74.7% for BC). Associations differed significantly according to average HOMA-IR values when lagged 6–18 h for PM2.5, 15–19 h for BC, and 6–15 h for UFPs, with positive associations among those with HOMA-IR≥1.6 while associations were closer to the null or inverse among those with HOMA-IR<1.6. Associations between PM2.5 and FeNO were consistently higher among individuals with average FBG≥6.1 mmol/L vs. low FBG, with significant differences for multiple hourly lags.
Discussion:
Glucose metabolism disorders may aggravate respiratory inflammation following exposure to ambient particulate matter. https://doi.org/10.1289/EHP4906
Date Issued
2020-06-01
Date Acceptance
2020-05-14
Citation
Environmental Health Perspectives, 2020, 128 (6), pp.067004-1-067004-8
ISSN
0091-6765
Publisher
Environmental Health Perspectives
Start Page
067004-1
End Page
067004-8
Journal / Book Title
Environmental Health Perspectives
Volume
128
Issue
6
Copyright Statement
© 2020 The Author(s). This an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0, which permits redistribution and copy for non-commercial use, provided the original article is not altered, and the author(s) and source is credited. http://creativecommons.org/licenses/by-nc-nd/3.0/
Sponsor
National Natural Science Foundation of China (NSFC)
Ministry of Science and Technology of China basic research program
Identifier
https://ehp.niehs.nih.gov/doi/10.1289/EHP4906
Grant Number
41421064
2015CB553401
Subjects
05 Environmental Sciences
11 Medical and Health Sciences
Toxicology
Publication Status
Published
Date Publish Online
2020-06-01