scholarly journals Airborne Benzo[a]Pyrene may contribute to divergent Pheno-Endotypes in children

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Hyunok Choi ◽  
Miroslav Dostal ◽  
Anna Pastorkova ◽  
Pavel Rossner ◽  
Radim J. Sram

Abstract Background Asthma represents a syndrome for which our understanding of the molecular processes underlying discrete sub-diseases (i.e., endotypes), beyond atopic asthma, is limited. The public health needs to characterize etiology-associated endotype risks is becoming urgent. In particular, the roles of polyaromatic hydrocarbon (PAH), globally distributed combustion by-products, toward the two known endotypes – T helper 2 cell high (Th2) or T helper 2 cell low (non-Th2) – warrants clarification. Objectives To explain ambient B[a]P association with non-atopic asthma (i.e., a proxy of non-Th2 endotype) is markedly different from that with atopic asthma (i.e., a proxy for Th2-high endotype). Methods In a case-control study, we compare the non-atopic as well as atopic asthmatic boys and girls against their respective controls in terms of the ambient Benzo[a]pyrene concentration nearest to their home, plasma 15-Ft2-isoprostane (15-Ft2-isoP), urinary 8-oxo-7,8-dihydro-2′-deoxyguanosine (8-oxodG), and lung function deficit. We repeated the analysis for i) dichotomous asthma outcome and ii) multinomial asthma—overweight/obese (OV/OB) combined outcomes. Results The non-atopic asthma cases are associated with a significantly higher median B[a]P (11.16 ng/m3) compared to that in the non-atopic controls (3.83 ng/m3; P-value < 0.001). In asthma-OV/OB stratified analysis, the non-atopic girls with lean and OV/OB asthma are associated with a step-wisely elevated B[a]P (median,11.16 and 18.00 ng/m3, respectively), compared to the non-atopic lean control girls (median, 4.28 ng/m3, P-value < 0.001). In contrast, atopic asthmatic children (2.73 ng/m3) are not associated with a significantly elevated median B[a]P, compared to the atopic control children (2.60 ng/m3; P-value > 0.05). Based on the logistic regression model, on ln-unit increate in B[a]P is associated with 4.7-times greater odds (95% CI, 1.9–11.5, P = 0.001) of asthma among the non-atopic boys. The same unit increase in B[a]P is associated with 44.8-times greater odds (95% CI, 4.7–428.2, P = 0.001) among the non-atopic girls after adjusting for urinary Cotinine, lung function deficit, 15-Ft2-isoP, and 8-oxodG. Conclusions Ambient B[a]P is robustly associated with non-atopic asthma, while it has no clear associations with atopic asthma among lean children. Furthermore, lung function deficit, 15-Ft2-isoP, and 8-oxodG are associated with profound alteration of B[a]P-asthma associations among the non-atopic children.

2017 ◽  
Vol 158 (13) ◽  
pp. 491-498 ◽  
Author(s):  
László Béla Nagy

Abstract: It is increasingly recognized that the bronchial asthma is a heterogeneous entity, encompassing a variety of different phenotypes. The identification of specific phenotypes is the key to develop more effective personalised treatment. The earliest attempt to phenotype asthma was proposed classifying into extrinsic and intrinsic subtypes. Clinical asthma is mainly divided into allergic (atopic) and non-allergic (non-atopic) asthma. Other phenotypes are based on trigger factors. Later the phenotyping based on the predominant cellular nature of inflammation: It can be divided into eosinophilic and non-eosinohilic. The non-eosinophilic asthma may be neutrophilic, combined, and paucigranulocytic. The discovery of Ig E represented a major breakthrough in asthma research. Ig E is an immunglobulin that plays a central role in pathomechanisms. Later identify with novel immune phenotypes: T-helper-2 high and T-helper-2 low subtypes. Neutrophilic asthma is mostly dependent of T-helper-17 cell induced mechanisms. The cluster analysis have been used increasingly to identify phenotypes. New data have been identified molecular pathways. However phenotyping of asthma is complex because of the overlap of the various phenotypes. The limitations of the studies need future research. Biomarkers e.g. levels of eosinophils in blood and sputum, exhaled nitric oxide fraction, serum immunglobulin E, serum periostin identify different asthma phenotypes. Orv. Hetil., 2017, 158(13), 491–498.


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