Enhancers regulate genes linked to severe and mild childhood asthma.

Background: Children with severe asthma suffer from recurrent symptoms and impaired quality of life despite advanced treatment. Underlying causes of severe asthma are not completely understood, although genetic mechanisms are known to be important. Objective: The aim of this study was to identify gene regulatory enhancers in leukocytes, to describe the role of these enhancers in regulating genes related to severe and mild asthma in children, and to identify known asthma-related SNPs situated in proximity to enhancers. Methods: Gene enhancers were identified and expression of enhancers and genes were measured by Cap Analysis Gene Expression (CAGE) data from peripheral blood leukocytes from children with severe asthma (n = 13), mild asthma (n = 15), and age-matched controls (n = 9). Results: From a comprehensive set of 8,289 identified enhancers, we further defined a robust sub-set of the high-confidence and most highly expressed 4,738 enhancers. Known single nucleotide polymorphisms, SNPs, related to asthma coincided with enhancers in general as well as with specific enhancer-gene interactions. Blocks of enhancer clusters were associated with genes including TGF-beta, PPAR and IL-11 signaling as well as genes related to vitamin A and D metabolism. A signature of 91 enhancers distinguished between children with severe and mild asthma as well as controls. Conclusions: Gene regulatory enhancers were identified in leukocytes with potential roles related to severe and mild asthma in children. Enhancers hosting known SNPs give the opportunity to formulate mechanistic hypotheses about the functions of these SNPs.

Class III Obesity as a Risk Factor for Persistent Asthma.

BACKGROUND: The burden of asthma remains steady with no decline observed in the past few decades. Obesity prevalence has been steadily increasing with a rate of 41.9% in the United States between 2017-2020. Obesity is an inflammatory chronic condition that may partially contribute to the burden and severity of asthma. This study aimed to examine whether the association between obesity and asthma varies with the categories of obesity (class I, II, and III) and persistent asthma (mild, moderate, and severe asthma). We hypothesized that subjects with elevated body mass index (BMI) are more likely to be diagnosed with persistent asthma than subjects without obesity with asthma. METHODS: As a retrospective and cross-sectional study, this study used a total of 1,977 records of subjects with asthma (age ≥ 19 y) hospitalized in Nevada between 2016-2021. BMI and persistent asthma were evaluated as the main exposure and outcome of interest. Logistic regression was used to estimate the magnitude of the association between obesity and persistent asthma. RESULTS: Among the selected subject records, subjects with obesity were more likely to be diagnosed with persistent asthma compared to subjects without obesity (odds ratio 1.50 [CI 1.10-2.05]). Subgroup analyses revealed that subjects with class III obesity (BMI ≥ 40) were more likely than subjects without obesity to be diagnosed with mild persistent asthma (odds ratio 2.21 [CI 1.18-4.16]) and severe persistent asthma (odds ratio 1.74 [CI 1.12-2.70]). CONCLUSIONS: Obesity was identified as a risk factor for persistent asthma, particularly class III obesity. This in turn increases the potential for greater health care utilization and economic burden. Public health and clinical interventions are necessary among those with comorbid asthma and obesity.

A new Anticalin protein for IL-23 inhibits non-type 2 allergen-driven mouse lung inflammation and airway hyperresponsiveness.

Severe asthma is a syndromic label assigned to patients based on clinical parameters, yet there are diverse underlying molecular endotypes in severe asthma pathobiology. Immunophenotyping of asthma biospecimens commonly includes a mixture of granulocytes and lymphocytes. Recently, a subset of severe asthma patients was defined as non-type 2 with neutrophil-enriched inflammation associated with increased Th17 CD4+ T cells and IL-17 levels. Here, we used an allergen-driven mouse model of increased IL-17 and mixed granulocyte lung inflammation to determine the impact of upstream regulation by an Anticalin protein that specifically binds IL-23. Airway administration of the IL-23 binding Anticalin protein (AcIL-23) decreased lung neutrophils, eosinophils, macrophages, and lymphocytes, IL-17+ CD4 T cells, mucous cell metaplasia and methacholine-induced airway hyperresponsiveness. Selective targeting of IL-23 with a monoclonal antibody (IL-23p19) (αIL-23) also decreased macrophages, IL-17+ CD4 T cells and airway hyperresponsiveness. In contrast, a monoclonal antibody against IL-17A (αIL-17A) had no significant effect on airway hyperresponsiveness, but did decrease lung neutrophils, macrophages, and IL-17+ CD4 T cells. Targeting the IL-23 pathway did not significantly change IL-5+ or IL-13+ CD4 T cells. Together, these data indicate that airway AcIL-23 mirrored the activity of systemic anti-IL-23 antibody to decrease airway hyperresponsiveness in addition to mixed granulocytic inflammation, and that these protective actions were broader than blocking only IL-17A or IL-5, which selectively decreased airway neutrophils and eosinophils, respectively.

Long-Term Clinical and Sustained REMIssion in Severe Eosinophilic Asthma treated with Mepolizumab: The REMI-M study.

BACKGROUND: Biological therapies, such as mepolizumab, have transformed the treatment of severe eosinophilic asthma. While mepolizumab's short-term effectiveness is established, there is limited evidence on its ability to achieve long-term clinical remission. OBJECTIVE: To evaluate the long-term effectiveness and safety of mepolizumab, explore its potential to induce clinical and sustained remission, and identify baseline factors associated with the likelihood of achieving remission over 24 months. METHODS: The REMI-M is a retrospective, real-world, multicenter study that analyzed 303 severe eosinophilic asthma patients who received mepolizumab. Clinical, demographic, and safety data were collected at baseline, 3, 6, 12, and 24 months. The most commonly used definitions of clinical remission, which included no exacerbations, no oral corticosteroids (OCS) use, and good asthma control with or without assessment of lung function parameters, were assessed. Sustained remission was defined as reaching clinical remission at 12 months and maintaining it until the end of the 24-month period. RESULTS: Clinical remission rates ranged from 28.6% to 43.2% after 12 months and from 26.8% to 52.9% after 24 months, based on the different remission definitions. The proportion of patients achieving sustained remission varied between 14.6% to 29%. Factors associated with the likelihood of achieving clinical remission included the presence of aspirin-exacerbated respiratory disease, better lung function at baseline, male sex, absence of anxiety/depression, gastro-esophageal reflux disease, bronchiectasis, and reduced OCS consumption. Adverse events were infrequent. CONCLUSIONS: This study demonstrates the real-world effectiveness of mepolizumab in achieving clinical remission and sustained remission in severe eosinophilic asthma over 24 months. The identification of distinct factors associated with the likelihood of achieving clinical remission emphasizes the importance of comprehensive management of comorbidities and timely identification of patients who may benefit from biologics.

In mouse model of mixed granulocytic asthma with corticosteroid refractoriness, Bronchom mitigates airway hyperresponsiveness, inflammation and airway remodeling.

BACKGROUND: Asthma is a heterogeneous, inflammatory disease with several phenotypes and endotypes. Severe asthmatics often exhibit mixed granulocytosis with reduced corticosteroid sensitivity. Bronchom is a newly developed Ayurvedic prescription medicine, indicated for the treatment of obstructive airway disorders. The purpose of the present study was to evaluate the in-vivo efficacy of Bronchom in mouse model of mixed granulocytic asthma with steroidal recalcitrance. METHODS: High-performance thin layer chromatography (HPTLC) and Ultra-high performance liquid chromatography (UHPLC) were employed to identify and quantitate the phytometabolites present in Bronchom. The preclinical effectiveness of Bronchom was assessed in house dust mite (HDM) and Complete Freund's adjuvant (CFA)-induced mixed granulocytic asthma model in mice. High dose of dexamethasone was tested parallelly. Specific-pathogen-free C57BL/6 mice were immunized with HDM and CFA and nineteen days later, they were intranasally challenged with HDM for four consecutive days. Then the mice were challenged with nebulized methacholine to evaluate airway hyperresponsiveness (AHR). Inflammatory cell influx was enumerated in the bronchoalveolar lavage fluid (BALF) followed by lung histology. Additionally, the concentrations of Th2 and pro-inflammatory cytokines was assessed in the BALF by multiplexed immune assay. The mRNA expression of pro-inflammatory cytokines and Mucin 5AC (MUC5AC) was also evaluated in the lung. RESULTS: HPTLC fingerprinting and UHPLC quantification of Bronchom revealed the presence of bioactive phytometabolites, namely, rosmarinic acid, gallic acid, methyl gallate, piperine, eugenol and glycyrrhizin. Bronchom effectively reduced AHR driven by HDM-CFA and the influx of total leukocytes, eosinophils and neutrophils in the BALF. In addition, Bronchom inhibited the infiltration of inflammatory cells in the lung as well as goblet cell metaplasia. Further, it also suppressed the elevated levels of Th2 cytokines and pro-inflammatory cytokines in the BALF. Similarly, Bronchom also regulated the mRNA expression of pro-inflammatory cytokines as well as MUC5AC in mice lungs. Reduced effectiveness of a high dose of the steroid, dexamethasone was observed in the model. CONCLUSIONS: We have demonstrated for the first time the robust pharmacological effects of an herbo-mineral medicine in an animal model of mixed granulocytic asthma induced by HDM and CFA. The outcomes suggest the potential utility of Bronchom in severe asthmatics with a mixed granulocytic phenotype.

Asthma severity: the patient's point of view.

Objective: Initiated by the Severe Asthma Network Italy (SANI), this study aims to explore asthma patients' perceptions of disease severity, differentiating between mild and severe asthma. The objective is to identify factors influencing tailored treatment strategies for varying disease severities and to provide insights into asthma care in Italy. Methods: Conducted between November 2020 and January 2021, a survey using Computer-Assisted Personal Interviewing (CAPI) collected data from 308 Italian adults, representing the population. A 25 item multiple choice questionnaire covered asthma diagnosis, symptoms, treatment approaches, associated conditions, and quality of life. Results: Among participants, 83.8% reported having mild asthma, while 16.2% had severe asthma. Severe asthma patients had longer disease durations, more severe symptoms, frequent exacerbations, and higher hospital/ER visits. Although treatment adherence and symptom profiles generally aligned with international guidelines for self reported severe asthma, 22% of self identified mild asthmatics experienced severe respiratory symptoms. Oral corticosteroid (OCS) use was observed in 50% of severe cases and 22% of mild cases. Adherence was higher in severe asthma patients (76%) versus mild asthma patients (28%). Both groups experienced comorbidities, with 96% of severe asthmatics and 72% of mild asthmatics reporting impaired quality of life. Conclusion: This study highlights the disparity between clinical categorization and patient perceptions of asthma severity. The prevalence of self reported severe asthma exceeds literature data. The burden of mild asthma remains significant, with treatment approaches not fully aligned, particularly regarding disproportionate OCS use. Addressing this gap requires enhancing patient education, improving diagnostic practices, and promoting adherence.

Higher prevalence of dupilumab-induced ocular adverse events in atopic dermatitis compared to asthma: A daily practice analysis.

BACKGROUND: Dupilumab has been shown to be an effective treatment in moderate-to-severe atopic dermatitis (AD) and severe asthma (SA). However, comparative real-world analyses of adverse events (AE), particularly dupilumab-associated ocular surface disease (DAOSD), are lacking. OBJECTIVE: This is the first real-world study to provide insight into the prevalence of AEs associated with dupilumab in AD compared with SA. Secondary objectives were to assess the prevalence, onset and therapeutic strategies of DAOSD and evaluate dupilumab discontinuation rates. METHODS: Data from two daily practice registries including AD and SA patients receiving dupilumab treatment were analyzed. Adverse events, including DAOSD, were evaluated. RESULTS: In total, 322 AD and 148 SA patients were included. Headaches (23.6%), injection site reactions (10.1%), and influenza-like symptoms (13.5%) were more prevalent in SA patients. Interestingly, ocular AEs were significantly more prevalent in AD patients (62.1%, p < 0.001), including conjunctivitis (17.1%, p = 0.004). 88% AD and 47% SA patients with ocular AEs received one or more ophthalmic treatment(s). Additionally, 20% of AD and 17.6% of SA patients discontinued dupilumab treatment due to ocular AEs, while only 65% of these AD and none of these SA patients were referred to an ophthalmologist. CONCLUSION: The higher incidence of DAOSD in AD patients compared with SA patients in this real-world study highlights the importance of physician awareness, especially when prescribing dupilumab to AD patients. Conversely, the findings of this study help alleviate potential concerns about ocular AEs in patients with SA who do not have comorbid AD. Furthermore, the effective management of most ocular AEs with ophthalmic treatments suggests favorable tolerability of dupilumab in daily practice, and multidisciplinary collaboration is essential to proactively manage ocular AEs before discontinuing dupilumab.

Profiling severe asthma: Any relevance for age? An analysis from Severe Asthma Network Italy (SANI) cohort.

Background: Aging implies changes in terms of lung function, immune system, and respiratory and extra-respiratory comorbidities. Few studies have specifically addressed the relevance of age on severe asthma burden and control. We aimed to evaluate whether age acts as an independent determinant of asthma severity, in terms of clinical, functional, and inflammatory profile, and to explore potential cofactors that contribute to a more difficult disease control in different age groups. Methods: Patients from Severe Asthma Network Italy (SANI) registry were retrospectively divided in subgroups according to their age. Cutoffs for age were established according to quartiles in order to obtain a comparable number of patients for each group, and then rounded for the sake of simplicity. Results: Overall, 1805 severe asthma patients were analyzed. Lung function represented the most important age-related variable. On the opposite the level of asthma control was not differently distributed among age ranges. In young people the presence of atopy-related comorbidities (allergic rhinitis, atopic dermatitis) predominated, whilst systemic-metabolic and degenerative comorbidities such as diabetes, cardiovascular diseases, anxious-depressive syndrome, and osteoporosis prevailed in elderly. Bronchiectasis and sleep disturbances were significantly associated with age. Conclusions: Despite that it cannot be considered a treatable trait, our study suggests that age should be evaluated within a personalized approach to severe asthma patients, in order to provide a better clinical profiling and a more tailored treatment strategy.

Biologics in T2 Severe Asthma: Unveiling Different Effectiveness by Real-World Indirect Comparison.

Background: Indirect comparison among biologics in severe asthma (SA) is a challenging but desirable goal for clinicians in real life. The aim of the study is to define characteristics of a biologic-treated T2-driven-SA population and to evaluate the effectiveness of biologic treatments in a real-world setting by variation in intra/inter-biologic parameters in an up to 4-year follow-up. Methods: Demographic, clinical, functional, and biological characteristics were evaluated retrospectively in 104 patients recruited until July 2022 at baseline (T0) and over a maximum of 4 years (T4) of biologic therapy (omalizumab/OmaG = 41, from T0 to T4, mepolizumab/MepoG = 26, from T0 to T4, benralizumab/BenraG = 18, from T0 to T2, and dupilumab/DupiG = 19, from T0 to T1). Variations of parameters using means of paired Delta were assessed. Results: At baseline, patients had high prevalence of T2-driven comorbidities, low asthma control test (ACT mean 17.65 ± 4.41), impaired pulmonary function (FEV1 65 ± 18 %pred), frequent exacerbations/year (AEs 3.5 ± 3), and OCS dependence (60%). DupiG had lower T2 biomarkers/comorbidities and AEs, and worse FEV1 (57 ± 19 %pred) compared to other biologics (p < 0.05). All biologics improved ACT, FEV1%, FVC%, AEs rate, and OCS use. FEV1% improved in MepoG and BenraG over the minimal clinically important difference and was sustained over 4 years in OmaG and MepoG. A significant RV reduction in OmaG (T4) and DupiG (T1), and BenraG normalization (T2) of airflow limitation were found. We observed through inter-biologic parameters pair delta variation comparison a significant nocturnal awakenings reduction in BenraG vs. OmaG/MepoG, and neutrophils reduction in BenraG/DupiG vs. OmaG. Conclusions: Indirect comparison among biologics unveils clinical and functional improvements that may mark a different effectiveness. These results may highlight the preference of a single biologic compared to another with regard to specific treatable traits.

A severe asthma phenotype of excessive airway Haemophilus influenzae relative abundance associated with sputum neutrophilia.

BACKGROUND: Severe asthma (SA) encompasses several clinical phenotypes with a heterogeneous airway microbiome. We determined the phenotypes associated with a low α-diversity microbiome. METHODS: Metagenomic sequencing was performed on sputum samples from SA participants. A threshold of 2 standard deviations below the mean of α-diversity of mild-moderate asthma and healthy control subjects was used to define those with an abnormal abundance threshold as relative dominant species (RDS). FINDINGS: Fifty-one out of 97 SA samples were classified as RDSs with Haemophilus influenzae RDS being most common (n = 16), followed by Actinobacillus unclassified (n = 10), Veillonella unclassified (n = 9), Haemophilus aegyptius (n = 9), Streptococcus pseudopneumoniae (n = 7), Propionibacterium acnes (n = 5), Moraxella catarrhalis (n = 5) and Tropheryma whipplei (n = 5). Haemophilus influenzae RDS had the highest duration of disease, more exacerbations in previous year and greatest number on daily oral corticosteroids. Hierarchical clustering of RDSs revealed a C2 cluster (n = 9) of highest relative abundance of exclusively Haemophilus influenzae RDSs with longer duration of disease and higher sputum neutrophil counts associated with enrichment pathways of MAPK, NF-κB, TNF, mTOR and necroptosis, compared to the only other cluster, C1, which consisted of 7 Haemophilus influenzae RDSs out of 42. Sputum transcriptomics of C2 cluster compared to C1 RDSs revealed higher expression of neutrophil extracellular trap pathway (NETosis), IL6-transignalling signature and neutrophil activation. CONCLUSION: We describe a Haemophilus influenzae cluster of the highest relative abundance associated with neutrophilic inflammation and NETosis indicating a host response to the bacteria. This phenotype of severe asthma may respond to specific antibiotics.

Comparative Effectiveness of Dupilumab and Omalizumab on Asthma Exacerbations and Systemic Corticosteroid Prescriptions: Real-World US ADVANTAGE Study.

BACKGROUND: In the US, dupilumab is approved for moderate-to-severe eosinophilic or oral corticosteroid-dependent asthma, while omalizumab is approved for managing moderate-to-severe allergic asthma uncontrolled by inhaled corticosteroids. However, limited comparative effectiveness data exist for these biologics due to differing patient characteristics and treatment histories. OBJECTIVE: This analysis assessed the real-world effectiveness of dupilumab and omalizumab for asthma among patients in the US. METHODS: In this retrospective observational study, TriNetX Dataworks electronic medical record data were used to identify asthma patients (age: ≥12 years) who initiated (index) dupilumab or omalizumab between November 2018 and September 2020, and who had at least 12 months of pre- and post-index clinical information. Inverse probability of treatment weighting (IPTW) was applied to balance potential confounding in treatment groups. Asthma exacerbation rates and systemic corticosteroid (SCS) prescriptions were compared using a doubly robust negative binomial regression model, adjusting for baseline exacerbation/SCS rates and patient characteristics with ≥10% standardized differences after IPTW. RESULTS: Overall, 2,138 patients in dupilumab and 1,313 in omalizumab treatment groups met all inclusion and exclusion criteria. After weighting, the majority of baseline characteristics were balanced (standard difference <10%) between the two groups. Dupilumab was associated with a 44% lower asthma exacerbation rate (p<0.0001) than omalizumab. Additionally, dupilumab treatment significantly (p<0.05) reduced SCS prescriptions by 28% during the follow-up period compared to omalizumab treatment. CONCLUSION: The US ADVANTAGE real-world study demonstrated a significant reduction in severe asthma exacerbations and SCS prescriptions for patients prescribed dupilumab compared to those prescribed omalizumab during 12 months of follow-up.

Imagining the severe asthma decision trees of the future.

INTRODUCTION: There are no validated decision-making algorithms concerning severe asthma (SA) management. Future risks are crucial factors and can be derived from SA trajectories. AREAS COVERED: The future severe asthma-decision trees should revisit current knowledge and gaps. A focused literature search has been conducted. EXPERT OPINION: Asthma severity is currently defined a priori, thereby precluding a role for early interventions aiming to prevent outcomes such as exacerbations (systemic corticosteroids exposure) and lung function decline. Asthma 'at-risk' might represent the ultimate paradigm but merits longitudinal studies considering modern interventions. Real exacerbations, severe airway hyperresponsiveness, excessive T2-related biomarkers, noxious environments and patient behaviors, harms of OCS and high-doses inhaled corticosteroids (ICS), and low adherence-to-effectiveness ratios of ICS-containing inhalers are predictors of future risks. New tools such as imaging, genetic, and epigenetic signatures should be used. Logical and numerical artificial intelligence may be used to generate a consistent risk score. A pragmatic definition of response to treatments will allow development of a validated and applicable algorithm. Biologics have the best potential to minimize the risks, but cost remains an issue. We propose a simplified six-step algorithm for decision-making that is ultimately aiming to achieve asthma remission.

Long-term effects of mepolizumab in patients with severe eosinophilic asthma: a 6-year real-life experience.

Background: Severe eosinophilic asthma (SEA) is often linked to a dysregulation in the Interleukin-(IL)-5 axis. Mepolizumab, a humanized monoclonal antibody, reduces eosinophils by directly binging to IL-5, potentially restoring homeostatic eosinophil biology, with a significant impact on quality of life, acute exacerbations and oral corticosteroids (OCS) elimination in SEA patients. While its short- and middle-term effects are well described, no study has so far investigated its long-lasting effects in SEA patients. The aim of our study was therefore to explore the effects of a long-term, six-year continuous treatment with mepolizumab on clinical control and clinical remission in a cohort of SEA patients. Methods: We conducted a retrospective review of clinical records of patients who were prescribed mepolizumab between June 2017 and April 2018. We collected demographical, functional, and clinical data from visits performed at baseline and then at the specified timepoints and checked if patients had reached clinical remission after 6 years. We assessed asthma control test (ACT), exacerbation rate, and OCS elimination dose at 6 years. Clinical Remission (CR) was defined on the basis of the elimination of OCS and the contemporary presence of all the following: 1) stable lung function; 2) no exacerbation in the previous 12 months; 3) acceptable symptom control (ACT ≥ 20). Results: Of 86 patients screened, 62 were included in the final analysis. Our study suggests that mepolizumab is effective and well tolerated after a six-year course of continuous treatment in patients with SEA. We reported a prevalence of 28 (46.8%) patients who reached complete CR at 72 months from the treatment start. 75% of patients eliminated the maintenance OCS already after 1 year of treatment; this proportion reached the 87% within the sixth year of treatment. Conclusion: Mepolizumab proved to be effective in real-life after 6 years of treatment, inducing a complete clinical remission in the 46.8% of patients, with sustained improvements in quality of life, exacerbation rate, OCS intake and lung function.

Identification of candidate genes and molecular mechanisms related to asthma progression using bioinformatics.

BACKGROUND: Asthma is a heterogeneous disorder. This study aimed to identify changes in gene expression and molecular mechanisms associated with moderate to severe asthma. METHODS: Differentially expressed genes (DEGs) were analyzed in GSE69683 dataset among moderate asthma and its controls as well as between severe asthma and moderate asthma. Key module genes were identified via co-expression analysis, and the molecular mechanism of the module genes was explored through enrichment analysis and gene set enrichment analysis (GSEA). GSE89809 was used to verify the characteristic genes related to moderate and severe asthma. RESULTS: Accordingly, 2540 DEGs were present between moderate asthma and the control group, while 6781 DEGs existed between severe asthma and moderate asthma. These genes were identified into 14 co-expression modules. Module 7 had the highest positive correlation with severe asthma and was recognized to be a key module by STEM. Enrichment analysis demonstrated that the module genes were mainly involved in oxidative stress-related signaling pathways. The expression of HSPA1A, PIK3CG and PIK3R6 was associated with moderate asthma, while MAPK13 and MMP9 were associated with severe asthma. The AUC values were verified by GSE89809. Additionally, 322 drugs were predicted to target five genes. CONCLUSION: These results identified characteristic genes related to moderate and severe asthma and their corresponding molecular mechanisms, providing a basis for future research.

Current Practices in Pediatric Asthma Care.

This article is a comprehensive review of the latest knowledge and developments on pediatric asthma. It serves as a guide for general practitioners and subspecialists who treat asthma. The pathophysiology and critical features of asthma that should be addressed and the latest therapies available are discussed. The areas where further investigation is needed are also highlighted.

iPREDICT: proof-of-concept study to develop a predictive model of changes in asthma control.

BACKGROUND: The individualized PREdiction of DIsease Control using digital sensor Technology (iPREDICT) program was developed for asthma management using digital technology. Devices were integrated into daily lives of patients to establish a predictive model of asthma control by measuring changes from baseline health status with minimal device burden. OBJECTIVES: To establish baseline disease characteristics of the study participants, detect changes from baseline associated with asthma events, and evaluate algorithms capable of identifying triggers and predicting asthma control changes from baseline data. Patient experience and compliance with the devices were also explored. DESIGN: This was a multicenter, observational, 24-week, proof-of-concept study conducted in the United States. METHODS: Patients (⩾12 years) with severe, uncontrolled asthma engaged with a spirometer, vital sign monitor, sleep monitor, connected inhaler devices, and two mobile applications with embedded patient-reported outcome (PRO) questionnaires. Prospective data were linked to data from electronic health records and transmitted to a secure platform to develop predictive algorithms. The primary endpoint was an asthma event: symptom worsening logged by patients (PRO); peak expiratory flow (PEF) < 65% or forced expiratory volume in 1 s < 80%; increased short-acting ß2-agonist (SABA) use (>8 puffs/24 h or >4 puffs/day/48 h). For each endpoint, predictive models were constructed at population, subgroup, and individual levels. RESULTS: Overall, 108 patients were selected: 66 (61.1%) completed and 42 (38.9%) were excluded for failure to respond/missing data. Predictive accuracy depended on endpoint selection. Population-level models achieved low accuracy in predicting endpoints such as PEF < 65%. Subgroups related to specific allergies, asthma triggers, asthma types, and exacerbation treatments demonstrated high accuracy, with the most accurate, predictive endpoint being >4 SABA puffs/day/48 h. Individual models, constructed for patients with high endpoint overlap, exhibited significant predictive accuracy, especially for PEF < 65% and >4 SABA puffs/day/48 h. CONCLUSION: This multidimensional dataset enabled population-, subgroup-, and individual-level analyses, providing proof-of-concept evidence for development of predictive models of fluctuating asthma control.

Outcomes of biological therapy in patients with severe asthma with chronic rhinosinusitis in Saudi Arabia: patients with nasal polyps versus those without nasal polyps.

BACKGROUND: This study's purposes were to evaluate the impact of biological therapies on outcomes in patients with severe asthma (SA) and chronic rhinosinusitis (CRS) and to compare these effects among those with NP (CRSwNP) versus those without NP (CRSsNP) in the "real-world" setting in Saudi Arabian patients. METHODS: From March to September 2022, a retrospective observational cohort study was undertaken at the severe asthma clinics of the Armed Forces Hospital-Southern Region (AFHSR) and King Khalid University Hospital, Abha, Saudi Arabia, to delineate the effects of dupilumab therapy. Outcomes were assessed, including clinical outcomes, FEV1, and laboratory findings before and one year after dupilumab. Post-therapy effects were compared between CRSwNP and CRSsNP. RESULTS: Fifty subjects were enrolled, with a mean age of 46.56. There were 27 (54%) females and 23(46%) males. Significant improvements in clinical parameters (frequency of asthma exacerbations and hospitalizations, the use of OCs, anosmia, SNOTT-22, and the ACT), FEV1, and laboratory ones (serum IgE and eosinophilic count) were observed 6 and 12 months after using dupilumab (p < 0.001), respectively. However, after 12 months of dupilumab therapy, there were no significant differences between those with and without NP with regards to clinical (anosmia, ACT, and OCs use), laboratory (eosinophilic count, serum IgE level) parameters, and FEV1%. CONCLUSIONS: Patients with CRS experienced significant improvements in clinical, FEV1, and laboratory outcomes after dupilumab therapy. However, these improvements were not maintained when comparing CRSwNP with CRSsNP. There were no significant differences between those with and without NP regarding ACT and OCs use or laboratory (eosinophilic count, serum IgE level) parameters. Further prospective multicenter studies are warranted.

MiR-155-5p Differentially Regulates IL-13Rα1 and IL-13Rα2 Expression and Signalling, Driving Abnormal Lung Epithelial Cell Phenotype in Severe Asthma.

MiR-155-5p is known to increase in innate and adaptive immune cells in response to IL-13 and is associated with asthma severity. However, little is known about its role in airway structural cells. BECs isolated from healthy donors and severe asthma patients were stimulated with IL-13. MiR-155-5p expression and release were measured by RT-PCR in BECs and in their derived exosomes. Modulation of miR-155-5p in BECs was performed using transfection of miR-155-5p inhibitor and mimic. IL-13Rα1, IL-13Rα2, MUC5AC, IL-8 and Eotaxin-1 expression were measured by RT-PCR and western blot. BECs repair process was assessed by wound healing assay. IL-13Rα1 and IL-13Rα2 expression and downstream pathways were evaluated by western blot. Dual Luciferase assay was used to determine miR-155-5p target genes associated to IL-13 receptors signaling. BECs from severe asthma showed an increased expression and exosomal release of miR-155-5p at baseline that was amplified by IL-13 stimulation. BECs from asthmatics expressed more IL-13Rα1 and less IL-13Rα2 than healthy donors and IL-13Rα1 but not IL-13Rα2 induced miR-155-5p expression under IL-13 stimulation. MiR-155-5p overexpression favored MUC5AC, IL-8 and Eotaxin-1 through IL-13Rα1/SOCS1/STAT6 pathway to the detriment of a delayed repair process with a downregulated IL-13Rα2/MAPK14/c-Jun/c-Fos signaling. Dual Luciferase assay confirmed that miR-155-5p modulates both IL-13 receptors pathways by directly targeting SOCS1, c-Fos and MAPK14. MiR-155-5p is overexpressed in severe asthma BECs and regulates IL-13Rα1 and IL-13Rα2 expression and signaling, favoring expression of mucin and eosinophils related genes to detriment of airway repair. These results show that miR-155-5p may contribute to airway epithelial cell dysfunction in severe asthma.