TY - JOUR
T1 - Obesity's effect on asthma extends to diagnostic criteria
AU - Lugogo, Njira
AU - Green, Cynthia L.
AU - Agada, Noah
AU - Zhang, Siyi
AU - Meghdadpour, Susanne
AU - Zhou, Run
AU - Yang, Siyun
AU - Anstrom, Kevin J.
AU - Israel, Elliot
AU - Martin, Richard
AU - Lemanske, Robert F.
AU - Boushey, Homer
AU - Lazarus, Stephen C.
AU - Wasserman, Stephen I.
AU - Castro, Mario
AU - Calhoun, William
AU - Peters, Stephen P.
AU - DiMango, Emily
AU - Chinchilli, Vernon
AU - Kunselman, Susan
AU - King, Tonya S.
AU - Icitovic, Nikolina
AU - Kraft, Monica
N1 - Publisher Copyright:
© 2017 American Academy of Allergy, Asthma & Immunology
PY - 2018/3
Y1 - 2018/3
N2 - Background: The use of inflammatory biomarkers to delineate the type of lung inflammation present in asthmatic subjects is increasingly common. However, the effect of obesity on these markers is unknown. Objectives: We aimed to determine the effect of obesity on conventional markers of inflammation in asthmatic subjects. Methods: We performed secondary analysis of data from 652 subjects previously enrolled in 2 Asthma Clinical Research Network trials. We performed linear correlations between biomarkers and logistic regression analysis to determine the predictive value of IgE levels, blood eosinophil counts, and fraction of exhaled nitric oxide values in relationship to sputum eosinophil counts (>2%), as well as to determine whether cut points existed that would maximize the sensitivity and specificity for predicting sputum eosinophilia in the 3 weight groups. Results: Overall, statistically significant but relatively weak correlations were observed among all 4 markers of inflammation. Within obese subjects, the only significant correlation found was between IgE levels and blood eosinophil counts (r = 0.33, P <.001); furthermore, all other correlations between inflammatory markers were approximately 0, including correlations with sputum eosinophil counts. In addition, the predictive value of each biomarker alone or in combination was poor in obese subjects. In fact, in obese subjects none of the biomarkers of inflammation significantly predicted the presence of high sputum eosinophil counts. Obese asthmatic subjects have lower cut points for IgE levels (268 IU), fraction of exhaled nitric oxide values (14.5 ppb), and blood eosinophil counts (96 cells/μL) than all other groups. Conclusions: In obese asthmatic subjects conventional biomarkers of inflammation are poorly predictive of eosinophilic airway inflammation. As such, biomarkers currently used to delineate eosinophilic inflammation in asthmatic subjects should be approached with caution in these subjects.
AB - Background: The use of inflammatory biomarkers to delineate the type of lung inflammation present in asthmatic subjects is increasingly common. However, the effect of obesity on these markers is unknown. Objectives: We aimed to determine the effect of obesity on conventional markers of inflammation in asthmatic subjects. Methods: We performed secondary analysis of data from 652 subjects previously enrolled in 2 Asthma Clinical Research Network trials. We performed linear correlations between biomarkers and logistic regression analysis to determine the predictive value of IgE levels, blood eosinophil counts, and fraction of exhaled nitric oxide values in relationship to sputum eosinophil counts (>2%), as well as to determine whether cut points existed that would maximize the sensitivity and specificity for predicting sputum eosinophilia in the 3 weight groups. Results: Overall, statistically significant but relatively weak correlations were observed among all 4 markers of inflammation. Within obese subjects, the only significant correlation found was between IgE levels and blood eosinophil counts (r = 0.33, P <.001); furthermore, all other correlations between inflammatory markers were approximately 0, including correlations with sputum eosinophil counts. In addition, the predictive value of each biomarker alone or in combination was poor in obese subjects. In fact, in obese subjects none of the biomarkers of inflammation significantly predicted the presence of high sputum eosinophil counts. Obese asthmatic subjects have lower cut points for IgE levels (268 IU), fraction of exhaled nitric oxide values (14.5 ppb), and blood eosinophil counts (96 cells/μL) than all other groups. Conclusions: In obese asthmatic subjects conventional biomarkers of inflammation are poorly predictive of eosinophilic airway inflammation. As such, biomarkers currently used to delineate eosinophilic inflammation in asthmatic subjects should be approached with caution in these subjects.
KW - Asthma
KW - eosinophils
KW - fraction of exhaled nitric oxide
KW - inflammatory markers
KW - obesity
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U2 - 10.1016/j.jaci.2017.04.047
DO - 10.1016/j.jaci.2017.04.047
M3 - Article
C2 - 28624608
AN - SCOPUS:85027166915
SN - 0091-6749
VL - 141
SP - 1096
EP - 1104
JO - Journal of Allergy and Clinical Immunology
JF - Journal of Allergy and Clinical Immunology
IS - 3
ER -