Environmental risks and sphingolipid signatures in adult asthma and its phenotypic clusters: a multicentre study

哮喘 医学 生物监测 污染物 烟草烟雾 内科学 环境卫生 环境化学 生物 化学 生态学
作者
Chao‐Chien Wu,Chin‐Chou Wang,Wen‐Yu Chung,Chau‐Chyun Sheu,Yi‐Hsin Yang,Ming−Yen Cheng,Ruay-Sheng Lai,Sum‐Yee Leung,Chi‐Cheng Lin,Yu‐Feng Wei,Ching‐Hsiung Lin,Sheng‐Hao Lin,Jeng‐Yuan Hsu,Wei‐Chang Huang,Chia‐Cheng Tseng,Yung‐Fa Lai,Meng‐Hsuan Cheng,Huang‐Chi Chen,Chih‐Jen Yang,Shih‐Chang Hsu
出处
期刊:Thorax [BMJ]
卷期号:78 (3): 225-232 被引量:12
标识
DOI:10.1136/thoraxjnl-2021-218396
摘要

Background Adult asthma is phenotypically heterogeneous with unclear aetiology. We aimed to evaluate the potential contribution of environmental exposure and its ensuing response to asthma and its heterogeneity. Methods Environmental risk was evaluated by assessing the records of National Health Insurance Research Database (NHIRD) and residence-based air pollution (particulate matter with diameter less than 2.5 micrometers (PM 2.5 ) and PM 2.5 -bound polycyclic aromatic hydrocarbons (PAHs)), integrating biomonitoring analysis of environmental pollutants, inflammatory markers and sphingolipid metabolites in case–control populations with mass spectrometry and ELISA. Phenotypic clustering was evaluated by t-distributed stochastic neighbor embedding (t-SNE) integrating 18 clinical and demographic variables. Findings In the NHIRD dataset, modest increase in the relative risk with time-lag effect for emergency (N=209 837) and outpatient visits (N=638 538) was observed with increasing levels of PM 2.5 and PAHs. Biomonitoring analysis revealed a panel of metals and organic pollutants, particularly metal Ni and PAH, posing a significant risk for current asthma (ORs=1.28–3.48) and its severity, correlating with the level of oxidative stress markers, notably Nε-(hexanoyl)-lysine (r=0.108–0.311, p<0.05), but not with the accumulated levels of PM 2.5 exposure. Further, levels of circulating sphingosine-1-phosphate and ceramide-1-phosphate were found to discriminate asthma (p<0.001 and p<0.05, respectively), correlating with the levels of PAH (r=0.196, p<0.01) and metal exposure (r=0.202–0.323, p<0.05), respectively, and both correlating with circulating inflammatory markers (r=0.186–0.427, p<0.01). Analysis of six phenotypic clusters and those cases with comorbid type 2 diabetes mellitus (T2DM) revealed cluster-selective environmental risks and biosignatures. Interpretation These results suggest the potential contribution of environmental factors from multiple sources, their ensuing oxidative stress and sphingolipid remodeling to adult asthma and its phenotypic heterogeneity.
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