RESUMO
BACKGROUND: Group 2 innate lymphoid cells (ILC2s) play crucial roles in type 2 immunity and asthma development. While ILC2s are resident in mucosal tissues, they also circulate in peripheral blood. It remains controversial whether ILC2s are increased in the peripheral blood of patients with asthma. PURPOSE: The goal of this project was to study the effector functions of ILC2s in peripheral blood samples by in vitro culture with cytokines. PATIENTS AND METHODS: Peripheral blood mononuclear cells (PBMCs) were collected from 11 adult patients with mild asthma and 12 healthy control subjects. The number of peripheral blood ILC2s in PBMCs was analyzed by flow cytometry. PBMCs were cultured with IL-33 and IL-25 without any antigens, and the amounts of type 2 cytokines in cell-free supernatants were analyzed by ELISA. In selected experiments, production of cytokines by ILC2s was analyzed by intracellular cytokine staining and flow cytometry. RESULTS: In response to either IL-33 or IL-25 stimulation, PBMCs from patients with mild asthma produced larger amounts of IL-5 and IL-13 than PBMCs from healthy control subjects. However, ILC2 numbers or proportions were not significantly different between these two groups. Flow cytometric analysis confirmed production of IL-5 by ILCs when stimulated with IL-33. CONCLUSION: In vitro culture of PBMCs with a cocktail of cytokines, such as either IL-33 or IL-25 plus IL-2, may provide a valuable tool to assess the effector functions of ILC2s and may serve as a biomarker for human asthma.
RESUMO
RATIONALE: Difficulty of asthma ascertainment and its associated methodologic heterogeneity have created significant barriers to asthma care and research. OBJECTIVES: We evaluated the validity of an existing natural language processing (NLP) algorithm for asthma criteria to enable an automated chart review using electronic medical records (EMRs). METHODS: The study was designed as a retrospective birth cohort study using a random sample of 500 subjects from the 1997-2007 Mayo Birth Cohort who were born at Mayo Clinic and enrolled in primary pediatric care at Mayo Clinic Rochester. Performance of NLP-based asthma ascertainment using predetermined asthma criteria was assessed by determining both criterion validity (chart review of EMRs by abstractor as a gold standard) and construct validity (association with known risk factors for asthma, such as allergic rhinitis). MEASUREMENTS AND MAIN RESULTS: After excluding three subjects whose respiratory symptoms could be attributed to other conditions (e.g., tracheomalacia), among the remaining eligible 497 subjects, 51% were male, 77% white persons, and the median age at last follow-up date was 11.5 years. The asthma prevalence was 31% in the study cohort. Sensitivity, specificity, positive predictive value, and negative predictive value for NLP algorithm in predicting asthma status were 97%, 95%, 90%, and 98%, respectively. The risk factors for asthma (e.g., allergic rhinitis) that were identified either by NLP or the abstractor were the same. CONCLUSIONS: Asthma ascertainment through NLP should be considered in the era of EMRs because it can enable large-scale clinical studies in a more time-efficient manner and improve the recognition and care of childhood asthma in practice.