Daniela Pastore

Background: Asthma is a heterogeneous chronic airway disease characterized by inflammation, airflow obstruction, hyperresponsiveness, and remodeling. Severe eosinophilic asthma is driven by eosinophilic inflammation, which contributes to tissue damage, recurrent exacerbations, and progressive impairment of airway structure and function. Eosinophils play a central role through the release of cytokines, cytotoxic granule proteins, and extracellular traps, and their persistence in the airways is sustained by type 2 inflammatory pathways, particularly interleukin-5-mediated signaling. A better understanding of eosinophil biology has promoted the development of targeted therapies, including anti-interleukin-5/interleukin-5 receptor agents and biologics that indirectly modulate eosinophilic inflammation, such as anti-interleukin-4 receptor alpha and anti-thymic stromal lymphopoietin antibodies. Aim: This narrative review summarizes the immunopathology of eosinophilic asthma and links eosinophil biology to current and emerging pharmacological strategies. We discuss biologics that directly target the IL-5/IL-5 receptor axis, as well as agents that indirectly modulate eosinophilic inflammation, including IL-4 receptor alpha and TSLP blockade. We also review the clinical positioning of available biologics, focusing on blood eosinophils, FeNO, exacerbation history, oral corticosteroid exposure, lung function, type 2 comorbidities, treatment response, remission and switching. Conclusions: Overall, eosinophilic inflammation remains a central therapeutic target and a key component of precision medicine in severe asthma, but biologic selection should be individualized and reassessed through multidomain clinical outcomes.

Interest in artificial intelligence (AI) is rapidly growing. In healthcare, especially through machine learning and deep learning, AI is emerging as a promising tool to support the diagnosis, management, and prevention of lung diseases and to advance personalized care, although it requires large, well-structured datasets. Clinicians must learn how to integrate AI into routine practice for conditions such as asthma and chronic obstructive pulmonary disease (COPD), while ensuring patient safety and building trust in these tools. Chronic respiratory diseases are major global causes of morbidity and mortality and place a substantial burden on healthcare systems; among them, asthma and COPD are chronic disorders characterized by airway obstruction and inflammation. This review highlights the rapid advancement of AI, and it aims to explore the literature’s evidence of its applicability in controlling chronic respiratory disorders, particularly in asthma and COPD. We conducted a narrative literature review by searching ScienceDirect, PubMed, and Google Scholar for English-language studies on artificial intelligence applications in asthma and COPD and by screening the references of relevant articles. The reviewed literature suggests that AI-based approaches are being applied across the asthma–COPD spectrum to support diagnosis and phenotyping, improve risk stratification and prediction of clinically relevant outcomes, and enable more continuous monitoring using heterogeneous data sources (e.g., clinical records, imaging, and digital health data). AI-based tools are poised to support clinicians in asthma and COPD across diagnosis, phenotyping, and monitoring; however, their safe implementation in routine care will require robust validation, transparency, and governance to ensure reliability and patient safety.

Background/Objectives: Patients with eosinophilic chronic obstructive pulmonary disease (COPD) often remain symptomatic despite optimized triple inhaled therapy. Dupilumab is a fully human monoclonal antibody that blocks the IL-4 receptor alpha subunit, thereby inhibiting IL-4 and IL-13 signaling. Evidence from randomized trials supports dupilumab for add-on treatment of type 2-high COPD, but data referring to short-term effectiveness in clinical practice are quite limited. Methods: We conducted an observational, compassionate-use study enrolling 13 consecutive outpatients with eosinophilic COPD (blood eosinophils ≥ 300 cells/µL) receiving add-on biologic therapy with dupilumab 300 mg every two weeks. Clinical (CAT, mMRC), functional (spirometry and body plethysmography), and inflammatory parameters (blood eosinophils/basophils, fibrinogen, FeNO) were evaluated at baseline and after four weeks of treatment. Safety was monitored after injection in a clinical setting, as well as via weekly phone follow-up. Results: Participants (84.6% male; mean age 67.08 ± 11.42 years) experienced rapid and clinically meaningful improvements at four weeks. CAT score decreased from baseline 21.40 ± 6.22 to 14.00 ± 5.58 (p < 0.001) and mMRC scale from 2.90 ± 0.73 to 1.80 ± 0.63 (p < 0.0001), respectively. Pre-bronchodilator FEV₁ increased from baseline 1.35 ± 0.65 L to 1.59 ± 0.84 L (p < 0.05), and FVC from 2.36 ± 0.92 L to 2.83 ± 1.11 L (p < 0.01). A marked lung deflation was observed: indeed, residual volume declined from baseline 4.17 ± 1.98 L to 3.47 ± 2.07 L (p < 0.05), with a concomitant reduction in specific effective airway resistance (from baseline 3.15 ± 1.77 to 2.43 ± 1.44 kPa·s; p < 0.05) associated with significant increases in mid-expiratory flow (FEF₂₅₋₇₅: from baseline 0.62 ± 0.38 to 0.86 ± 0.71 L/s; p < 0.05) and peak expiratory flow (3.80 ± 1.40 to 4.48 ± 1.79 L/s; p < 0.01). Type 2 inflammatory biomarkers changed as follows: blood eosinophil count fell from baseline 390.0 ± 43.75 to 190.0 ± 65.47 cells/µL (p < 0.001); blood basophil number decreased from baseline 37.50 ± 13.89 to 26.25 ± 13.02 cells/µL (p < 0.001); plasma fibrinogen lowered from baseline 388.4 ± 54.81 to 334.9 ± 72.36 mg/dL (p < 0.01); FeNO levels dropped from baseline 23.95 ± 18.10 to 14.00 ± 2.04 ppb (p < 0.0001). Dupilumab was well tolerated, and no treatment-related serious adverse events or discontinuations were detected. Conclusions: Within an exploratory context of daily medical activity referring to eosinophilic COPD already treated with maximal inhaled therapy, we found relevant therapeutic effects of a four-week add-on treatment with dupilumab. In particular, our patients manifested rapid improvements in symptoms, airflow limitation, and lung hyperinflation, paralleled by significant decrements of type 2 inflammatory signatures. Such encouraging results were associated with a favorable short-term safety profile. However, larger and longer studies are necessary to corroborate these preliminary findings.

Background: Uncontrolled asthma remains a significant clinical challenge, often linked to impaired lung function and increased diaphragmatic workload. Recent studies have shown promising results using a triple inhaled therapy comprising beclomethasone dipropionate/formoterol fumarate/glycopyrronium (BDP/FF/G). This study assessed the real-world efficacy of BDP/FF/G on lung function and diaphragmatic workload in patients with uncontrolled asthma. Methods: A prospective observational study enrolled 21 adult patients diagnosed with uncontrolled asthma despite high-dose ICS/LABA therapy. Patients underwent lung function tests and right diaphragmatic ultrasound assessments at baseline and after three months of treatment with BDP/FF/G (172/5/9 mcg, administered as two inhalations every 12 h). Results: After three months, significant improvements were observed in FEV₁ (from 57.75 ± 12.30% to 75.10 ± 18.94%, p < 0.001) and FEF_25–75 (from 47.80 ± 19.23% to 75.10 ± 36.06%, p < 0.001). Additionally, during the same period, we recorded significant reductions in residual volume (from 130.10 ± 28.20% to 92.55 ± 21.18%, p < 0.001) and total airway resistance (R_tot) (from 164.60 ± 83.21% to 140.70 ± 83.25%, p < 0.05). The mean asthma control test (ACT) score increased by 5.6 points (p < 0.001), surpassing the established minimal clinically important difference (MCID) of 3 points and raising the cohort mean above the well-controlled threshold. The right diaphragmatic workload was significantly decreased, as shown by a reduction in thickening fraction (TF) (from 63.86 ± 17.67% to 40.29 ± 16.65%, p < 0.01). Correlation analysis indicated significant associations between diaphragmatic function and some lung function parameters (FEV₁, FEF_25–75, and R_tot). Conclusions: In this real-world pilot, triple BDP/FF/G was linked to improvements in airflow, hyperinflation, symptoms, and a reduction in diaphragmatic thickening fraction, indicating potential physiological benefit. Due to the small sample size, single-centre design, and 3-month follow-up, these results should be viewed as hypothesis-generating and need to be confirmed in larger, controlled, multicentre studies with longer follow-up.

Asthma is a highly heterogeneous respiratory disease that, in its severe forms, is characterized by persistent symptoms, frequent exacerbations, and a significant impact on patients’ quality of life. Despite high-dose inhaled corticosteroids and long-acting bronchodilators, a subset of patients remains uncontrolled, necessitating advanced therapeutic strategies. The advent of biologic therapies has revolutionized the management of severe asthma, offering targeted interventions based on the underlying inflammatory endotypes, primarily T2-high and T2-low. However, selecting the most appropriate biologic remains challenging due to overlapping phenotypic features and the limited availability of validated biomarkers. This narrative review explores the clinical utility of key biomarkers, including blood eosinophils, fractional exhaled nitric oxide (FeNO), periostin, and total and specific IgE, in guiding biologic therapy. All the information provided is based on an extensive literature search conducted on PubMed. We also examine the clinical characteristics and comorbidities that influence therapeutic choices. Furthermore, we present a practical decision-making platform, including a clinical table matching phenotypes with biologic agents, such as omalizumab, mepolizumab, benralizumab, dupilumab, and tezepelumab. By integrating biomarker analysis with clinical assessment, based on current guidelines and our extensive real-life experience, we aim to offer a logical framework to help clinicians select the most suitable biologic treatment for patients with uncontrolled severe asthma. Future research should focus on identifying novel biomarkers, refining patient stratification, and evaluating long-term outcomes to further advance precision medicine in the management of severe asthma.