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Background: Specific biomarkers, such as eosinophilia in peripheral blood or fractional exhaled nitric oxide (FeNO), can guide us in the choice of biologic therapy, allowing a more personalized approach. Although there are multiple evidences in the literature about the role of FeNO as a predictor of response to different biologic treatments, there are no data on the relationship between FeNO changes and clinical response to the four biologic drugs currently in use., Objective: To evaluate and to compare the expression of multiple-flows FeNO parameters in a cohort of patients with severe asthma (SA) before and during the treatment with biologics to evaluate the performance of these biomarkers in predicting the achievement of clinical remission., Methods: We prospectively enrolled 50 patients with severe asthma eligible for biologic therapy. Patients underwent clinical and functional monitoring at baseline (T0) and after 1, 6, and 12 months of treatment (T1, T6, T12), including multiple flows FeNO assessment., Results: A statistically significant reduction of FeNO50 values and J'awNO was observed only in benralizumab and dupilumab subgroups. Among biomarkers, the reduction of FeNO 50 values at T1 was associated with a higher probability of achieving clinical remission at T12 ( p  = 0.003), which was also confirmed by ROC curve analysis (AUC 0.758, p  = 0.002; sensitivity 60% and specificity 74% for a reduction of 16 ppb)., Conclusion: These data confirm the potential of this biomarker in predicting clinical response to biologic treatment in patients with severe asthma in order to guide clinical decisions and evaluate a shift to other biologic therapy.

Background: Fractional exhaled nitric oxide (FeNO) is a biomarker of airway inflammation associated with airway hyper-responsiveness and type-2 inflammation. Its role in the management of severe asthmatic patients undergoing biologic treatment, as well as FeNO dynamics during biologic treatment, is largely unexplored., Purpose: The aim was to evaluate published data contributing to the following areas: (1) FeNO as a predictive biomarker of response to biologic treatment; (2) the influence of biologic treatment in FeNO values; (3) FeNO as a biomarker for the prediction of exacerbations in patients treated with biologics., Methods: The systematic search was conducted on the Medline database through the Pubmed search engine, including all studies from 2009 to the present., Results: Higher baseline values of FeNO are associated with better clinical control in patients treated with omalizumab, dupilumab, and tezepelumab. FeNO dynamics during biologic treatment highlights a clear reduction in FeNO values in patients treated with anti-IL4/13 and anti-IL13, as well as in patients treated with tezepelumab. During the treatment, FeNO may help to predict clinical worsening and to differentiate eosinophilic from non-eosinophilic exacerbations., Conclusions: Higher baseline FeNO levels appear to be associated with a greater benefit in terms of clinical control and reduction of exacerbation rate, while FeNO dynamics during biologic treatment remains a largely unexplored issue since few studies have investigated it as a primary outcome. FeNO remains detectable during biologic treatment, but its potential utility as a biomarker of clinical control is still unclear and represents an interesting research area to be developed.

Seven species of coronavirus cause acute respiratory illness in humans. Coronavirus HKU 1 (CoV HKU 1) was first described in 2005 in an adult patient with pneumonia in Hong Kong. Although it is a well-known respiratory tract pathogen, there is not much information about its role in hospitalized adults, especially in southern Europe. Here, we describe a case of radiologically demonstrated CoV HKU 1-related bronchiolitis with acute respiratory failure in an adult female without significant comorbidities except obesity.

Background: Idiopathic pulmonary fibrosis (IPF) is a chronic progressive interstitial lung disease limited to the lungs. Immunological dysregulation may significantly participate in the pathophysiology of IPF. The immunological responses to nintedanib therapy in IPF patients were investigated for the first time in this study., Materials and Methods: Fifty IPF patients (median age (IQR) 69 (65-75) years; 38 males), were selected retrospectively. Flowcytometry analysis were performed to phenotype immunological biomarkers in peripheral blood from IPF patients after 1 year of antifibrotic therapy and a group of healthy volunteers., Results: Before starting antifibrotic treatment, IPF patients showed increased CD1d+CD5+ (p = 0.0460), Treg (p = 0.0354), T effector (CD25 high CD127 high ) (p = 0.0336), central cells (CD4 + CD45RA - ) (p = 0.0354), effector cells (CD4 + CD45RA + ) (p = 0.0249) and follicular cell percentages (p = 0.0006), notably Tfh1 (p = 0.0412) and Tfh17 (p = 0.0051) cell percentages, in respect with healthy controls (HC). After nintedanib therapy, Breg (p = 0.0302), T effector (p = 0.0468), Th17.1 (p = 0.0146) and follicular cells (p = 0.0006), notably Tfh1 (p = 0.0006) and Tfh17 (p = 0.0182) cell percentages, were significantly decreased. In the logistic regression, Tfh panel showed a significant area under the receiver operating characteristics curve (AUROC) to distinguish IPF than HC (90.5%), as well as t0 and t1 (99.3%)., Conclusion: In conclusion, the immunological results obtained in this study demonstrate that nintedanib significantly helps to restore immunological responses in IPF patients. These findings will be useful in the search for biomarkers predictive of response to antifibrotic treatment., (Copyright © 2021 Elsevier B.V. All rights reserved.)