The Correlation Between Fractional Exhaled Nitric Oxide (FeNO), Blood Eosinophil Count, Immunoglobulin E Levels, and Spirometric Values in Patients With Asthma

A Long-Term Follow-Up Study of Serum NFATc3 Levels in Pediatric Patients with Bronchial Asthma: A Prospective Observational Case-Control Investigation

The early and precise diagnosis of asthma significantly impacts the long-term health outcomes of pediatric patients. The sensitivity and specificity of current biomarkers, however, are frequently limited. Our study aimed to evaluate the clinical significance of nuclear factor of activated T cells, cytoplasmic 3 (NFATc3), in pediatric bronchial asthma, focusing on its diagnostic and prognostic value for disease severity and recurrence. This observational, prospective case-control study involved 200 pediatric patients with bronchial asthma and 200 age- and sex-matched healthy controls, from January 2020 to January 2023. Follow-up varied from 1 to 3 years. We measured levels of NFATc3 and inflammatory cytokines interleukin-1β (IL-1β), IL-6, and TNF-α via enzyme-linked immunosorbent assay. NFATc3 and IL-1β levels at enrollment were markedly higher in patients with acute exacerbations and those classified as severe, compared with their less severe counterparts. Throughout the study, NFATc3, IL-1β, and IL-6 levels significantly increased in severe or acutely exacerbating cases. The diagnostic value of NFATc3 was assessed through receiver operating characteristic curve analysis, which showed its potential in diagnosing bronchial asthma and identifying severe cases. Spearman's analysis confirmed positive associations between peak NFATc3 and cytokine levels. Importantly, disease type, NFATc3 values at enrollment, as well as peak IL-6 levels were identified as independent risk factors for severe bronchial asthma. Elevated NFATc3 is linked with the severity of pediatric bronchial asthma and serves as a potential biomarker for diagnosis and severity prediction, emphasizing its role in guiding treatment strategies.

Relationship between fraction of exhaled nitric oxide and peripheral eosinophilia in asthma

BACKGROUND

Achieving disease control is the goal of asthma management. Serum or sputum eosinophil counts have been known traditional means of assessing eosinophilic airway inflammation in asthma, which is vital in predicting response to corticosteroid therapy which ultimately promotes control of the disease. Evidence suggests that fraction of exhaled nitric oxide (FeNO) may be a more useful non-invasive surrogate biomarker for the assessment of eosinophilic airway inflammation and could help with the timely adjustment of inhaled corticosteroid therapy in the uncontrolled asthma patient. The relationship between FeNO and other markers of airway inflammation has been variable in literature, with limited data in sub-Saharan Africa where FeNO testing is very sparse. We sought to define the relationship between FeNO levels, serum eosinophil counts, spirometry measures and symptom control among asthma patients.

MATERIALS AND METHODS

The study was conducted at the Asthma Clinic of a large tertiary hospital. This study included 82 patients with physician-diagnosed asthma being regularly managed at the clinic. All participants were taken through the asthma control test (ACT), had FeNO and spirometry measurements taken according to the American Thoracic Society (ATS) guidelines. Blood samples were obtained from all participants for serum eosinophil counts. Correlation coefficient was used to ascertain the relationship between FeNO levels and serum eosinophil counts, ACT scores, and spirometry measurements. Logistic regression was used to examine the association between high FeNO and abnormal FEV1 percentage predicted (<80%) with adjustments for age, sex, and BMI.

RESULTS

A total of 82 patients with asthma were included in the study, with higher prevalence of females (72%). Majority (40.2%) of the patients were found in the 60 and above age category. The median FeNO level and ACT score was 42.00 (26.00-52.50) parts per billion (ppb) and 20.0 (18-23) respectively. The median serum eosinophil counts was 0.25(0.90-0.38) × 109/L. The median FeNO levels were significantly higher in patients with partly and very poorly controlled asthma than in the well-controlled group (p < 0.001). A total of 47(57%) of the patients were classified as having well controlled asthma and 35 (42%) uncontrolled. FeNO correlated with serum eosinophil counts (r = 0.450, p < 0.001), ACT (r = -0.648, p < 0.001), and FEV1 percentage predicted (r = -0.353, p = 0.001). High FeNO (>50 ppb) was associated with an over fivefold increased risk of having an abnormal FEV1 percentage predicted.

CONCLUSION

FeNO levels significantly correlated with the ACT scores, serum eosinophil counts and FEV1% predicted among the asthma patients who were on inhaled corticosteroid therapy. High FeNO was significantly associated with abnormal FEV1 percentage predicted. We suggest that the point of care assessment of FeNO is a reliable marker of eosinophilic inflammation in our cohort of patients and together with 'ACT scores' in our asthma clinics could increase asthma control rates.

Biomarkers Reflecting the Severity of Bronchial Asthma in Children

Background

Bronchial asthma, the most prevalent chronic inflammatory airway disease in children, exhibits a concerning rise in both incidence and prevalence. Asthma biomarkers hold promise for stratifying patients into distinct clinical phenotypes, paving the way for targeted and personalized treatment approaches.

Aim of Study

This study aimed to evaluate the association between novel and non-established semi-invasive circulating and well-known exhaled inflammatory biomarkers in two distinct pediatric asthma populations stratified by disease severity.

Materials and Methods

Forty-four asthmatic children aged 8-12 years meeting inclusion criteria were recruited from hospitalized patients. The first group (n=15, mean age 9.8 years) consisted of patients with mild persistent asthma who did not require regular inhaled corticosteroids (ICS). The second group (n=29, mean age 9.8 years) consisted of children with moderate to persistent asthma who received regular ICS treatment. Serum levels of interleukins (IL-13, IL-1β), eosinophil-derived neurotoxin (EDN), and surfactant protein D (SPD) were measured by ELISA in all participants. In addition, exhaled nitric oxide (FeNO) and blood eosinophil counts were evaluated.

Results

No significant differences were observed in the baseline plasma concentrations of inflammatory markers (IL-13, IL-1β, SPD, and EDN) or exhaled FeNO between the ICS-treated and non-ICS-treated groups. Further inter-individual analysis confirmed significant positive correlations between IL-13, SPD, and IL-1β (Pearson's r = 0.591-0.781) in both groups of patients. Interestingly, the ICS-treated group compared to the nontreated group showed an exclusive moderate negative correlation between FeNO and IL-1β. In contrast, FeNO exhibited a positive correlation with EDN and a strong association with eosinophil count in all the study groups.

Conclusion

Our findings highlight the complex and unresolved role of asthma biomarkers in routine clinical practice for the management of childhood asthma, particularly in predicting exacerbations. By comparing the relationships of carefully selected biomarkers, we can achieve a greater clinical predictive value.

Decoding treatment efficacy: uncovering response and failure dynamics to biologics in asthma

INTRODUCTION

Asthma is a global health problem, with alarming prevalence and mortality rates. Biologic therapies, particularly monoclonal antibodies such as omalizumab, have emerged as promising alternatives, targeting specific immune pathways. This article assesses the efficacy of these biologics in asthma management and attempts to reveal factors associated with their response and failure dynamics.

AREA COVERED

This article explores the efficacy of biologics in asthma, biomarkers, and the relationship between asthma phenotypes (including eosinophilic and non-eosinophilic (neutrophilic) types) and biologic treatments; particularly their effectiveness for each subtype.

EXPERT OPINION

Personalized asthma management that incorporates molecular insights as well as individual variations is of outmost necessity. An emphasis is put on immunological profiling, understanding comorbidities and considering individual patient factors when managing asthma. Cutting-edge phenotyping tools including omic technologies play a crucial role in improving asthma management precision. Variability in patient responses to biologic treatments such as non-responders, partial responders and super responders poses a formidable challenge to effective asthma care management strategies.