Hexamethylene diisocyanate asthma is associated with genetic polymorphisms of CD14, IL-13, and IL-4 receptor α
Autor: | Victor J. Johnson, Stacy Langmeyer, David I. Bernstein, Berran Yucesoy, Michael I. Luster, Santiago Quirce, Zana L. Lummus, Joaquín Sastre, Susan M. Tarlo, André Cartier, Gurjit K. Khurana Hershey, Grace E. Kissling, Jean-Luc Malo, Louis-Philippe Boulet, Denyse Gautrin |
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Rok vydání: | 2011 |
Předmět: |
Male
Time Factors Immunology Lipopolysaccharide Receptors Occupational disease Single-nucleotide polymorphism Polymorphism Single Nucleotide Asymptomatic Article chemistry.chemical_compound Specific inhalation challenge Occupational Exposure Genotype medicine Humans Immunology and Allergy Cyanates Interleukin-13 business.industry Case-control study Interleukin-4 Receptor alpha Subunit medicine.disease Asthma Occupational Diseases chemistry Case-Control Studies Female Hexamethylene diisocyanate medicine.symptom business Occupational asthma Isocyanates |
Zdroj: | Journal of Allergy and Clinical Immunology. 128:418-420 |
ISSN: | 0091-6749 |
DOI: | 10.1016/j.jaci.2011.03.007 |
Popis: | To the Editor, Diisocyanates are among the most common causes of occupational asthma. However, susceptibility factors and immune biomarkers of diisocyanate asthma (DA) have not been clearly defined. For example, serum diisocyanate antigen specific IgE and IgG have been extensively investigated but these immunoassays lack diagnostic accuracy in identifying workers with confirmed DA1, 2, 3. Various genetic variants have been identified as risk factors for DA in association studies. Certain HLA class II alleles and SNPs of antioxidant enzymes (e.g., glutathione-s-transferases, N- acetyl transferases) have been associated with confirmed DA, although these findings have not yet been replicated in multiple populations4. In 2006, we first reported that DA confirmed by specific inhalation challenge (SIC) testing was significantly associated with cytokine genotype combinations of interleukin 4 receptor alpha (IL4RA), interleukin 13 (IL13) and CD14 single nucleotide polymorphisms (SNPs), but exclusively in hexamethylene diisocyanate (HDI) exposed workers5. In this report, we confirm the aforementioned genotype associations in an expanded group of workers with confirmed DA when compared to diisocyanate exposed workers without DA. A total of 368 diisocyanate-exposed workers were recruited by clinical investigators at four occupational disease clinics (Hopital du Sacre-Cœur de Montreal, Montreal, Canada; Hopital Laval, Sainte-Foy, Canada; University Health Network, Toronto, Canada; and Fundacion Jimenez Diaz, Madrid, Spain) and included: 103 diagnosed with DA (DA+) based on a positive SIC test; 115 symptomatic workers with negative SIC tests (DA−); and 150 HDI-exposed asymptomatic control spray paint workers (i.e, healthy subjects, not exhibiting respiratory symptoms). Blood samples were obtained for DNA extraction and genotyped for IL4RA (I50V), IL4RA (Q551R), IL4RA (E375A), IL13 (R110Q) and CD14 (C159T) SNPs, as previously described5. Subjects were predominantly male (91%), Caucasian (99%) and of European descent (90.8% French Canadian, 2.7% English Canadian, 1.9 % Spanish). Of 103 workers with DA, 50, 22, and 31 were exposed to HDI, MDI, and TDI, respectively, Of the 115 DA− symptomatic workers, 91, 18, and 6 were exposed to HDI, MDI, and TDI, respectively, while all asymptomatic controls were exposed to HDI. The duration of workplace exposure in months (mean ± SD) was 137 ± 13.9 for DA+, 157.9 ± 14.2 for DA−, and 65.6 ± 2.2 for asymptomatic HDI workers. All SNPs studied were in Hardy-Weinberg equilibrium (chi-square tests, all p>0.10). No significant associations were identified (by the chi-square test) between DA and individual alleles or genotypes of the candidate SNPs for IL4RA, IL13, or CD14. Genotypes were dichotomized for further statistical analyses as follows: IL4RA (I50V), II vs. IV or VV; IL4RA (Q551R), QQ vs. QR or RR; IL4RA (E375A), EE vs. EA or AA; IL-13(R110Q), RR vs. RQ or QQ; CD14 (C159T), CT vs. CC or TT. Combinations of genotypes were also dichotomized to compare the indicated combination to all other possible combinations. For example, in Table I, the combination of IL4RA II and IL13 RR compared IL4RA (I50V) = II and IL13 (R110Q) = RR to all other combinations of IL4RA (I50V) and IL-13(R110Q). Logistic regression analysis revealed significant interactions of diisocyanate exposure (HDI vs. MDI, TDI) with specific genotype combinations (i.e., IL4RA II + IL13RR; IL4RA II + CD14 CT; and IL4RA II + IL13 RR + CD14 CT) for distinguishing confirmed DA status (DA+) in comparison to SIC negative workers (DA−), after adjusting for significantly associated demographic variables (Table I). TABLE I Logistic regression analyses of associations of genotype or genotype combinations and exposure (HDI vs. MDI and/or TDI) with OA confirmed by specific inhalation challenge (DA+) versus specific inhalation challenge negative (DA−) workers in all ... In logistic regression analyses comparing HDI-exposed DA+ workers (n= 50) with HDI-exposed DA− workers (n = 91), DA remained significantly associated with IL4RA II + CD14 CT and IL4RA II + IL13 RR + CD14 CT genotype combinations (Table I) after adjustment for smoking status and gender. When comparing HDI-exposed DA+ workers (n= 50) with asymptomatic HDI-exposed workers (n = 150), the association between DA and the IL4RA II + CD14 CT and IL4RA II + IL13 RR + CD14 CT genotype combinations approached statistical significance (p < 0.10) after adjustment for age at diagnosis and smoking status (Table II). TABLE II Logistic regression analyses in HDI exposed workers of associations of genotype or genotype combinations with specific inhalation challenge positive workers (DA+) versus asymptomatic workers (Controls), after adjusting for significant demographic variables. ... These results in an expanded group of workers confirm our original findings of significant associations of DA with IL4RA (I50V), IL13 (R110Q) and CD14 (C159T) genotype combinations modified by exposure to HDI5. Unique to this report is the finding that two genotype combinations remain significantly associated with DA when compared with DA− workers and a similar, but not statistically significant, association was observed when compared with an asymptomatic cohort of HDI exposed workers. Significant associations between genotype and occupational asthma were found only after adjustment for work relevant diisocyanate exposure (i.e., HDI vs.TDI, MDI). The reason for restriction of this finding to the HDI exposed population is unknown and may be an artifact of the greater numbers of HDI-exposed subjects available for statistical analysis. This study employed a case control design using a candidate gene approach. The rarity of diisocyanate asthma and the relatively small numbers of subjects able to be recruited compared with genetic studies of non-occupational asthma is a limitation of this study and a hindrance to future replication studies. However, the issue of small group sizes could be counter-balanced by the ability to precisely define the DA phenotype using objective SIC tests with work-relevant diisocyanate chemicals. The role of these genotype combinations in the pathogenesis of DA is unknown and awaits functional characterization. Nevertheless, susceptibility genes associated with Th2 helper cell differentiation (e.g., IL4RA, IL13) and innate immunity (CD14) have been extensively investigated in non-occupational asthma6. The IL13 (R110Q) SNP has been associated with asthma and airway hyperresponsiveness and IL4RA variant V and R alleles (I50V and Q551R, respectively) have been associated with asthma and atopy7, 8. No such associations were detected in the present study of workers which were not enriched with atopic subjects. In summary, we have confirmed a previous observation in expanded groups of workers: a reported association between genotype combinations associated with Th2 and innate immunity and diisocyanate-induced asthma caused by HDI. Replication of these results in other background populations will be necessary to define the possible value of these genetic markers for risk assessment. |
Databáze: | OpenAIRE |
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