Late-onset Asthma Research Articles

Effect of Mepolizumab in airway’s remodelling in patients with late-onset severe asthma with an eosinophilic phenotype

BackgroundClinical trials and real-world experience have provided evidence for the clinical benefit of mepolizumab, an anti-IL-5 biologic, in severe asthma. However, limited data exists regarding the impact of mepolizumab on airway remodelling. ObjectiveWe thus investigated the effect of mepolizumab on airway structural remodelling in patients treated for severe asthma in routine clinical care. MethodsMESILICO is a multicenter study involving 8 Pulmonology Departments in Greece. This study focused on patients who initiated mepolizumab for severe asthma with an eosinophilic phenotype and had late-onset disease with obstructive patterns (impaired reversibility). Forty-seven patients were recruited, of whom 41 were enrolled in the bronchoscopy sub-study. The findings were related to clinical outcome. ResultsAfter 12 months, mepolizumab treatment was associated with significant improvements in lung function and ACT score, along with a significant decrease in severe exacerbation events (p<0.001). Thirty four of the 41 participants (83%) had paired biopsies for comparative analysis. There was a significant reduction from baseline in sub-basement membrane thickness, airway smooth muscle area, airway smooth muscle layer thickness and extent of epithelial damage, as well as a decrease in tissue eosinophil numbers (all p<0.001). The extent of ASMLT reduction positively correlated with the submucosal eosinophil reduction (r= 0.599, p<0.001). ConclusionThis study identifies that 12 month of mepolizumab treatment in patients with late-onset severe asthma, who are also characterized by eosinophilic and impaired reversibility phenotypes, leads not only to clinical improvement but also reduces indices of airway tissue remodelling suggestive of a disease modifying effect.

Distinct trajectories of treatment response to mepolizumab toward remission in patients with severe eosinophilic asthma.

Patients with severe eosinophilic asthma, characterised by a high disease burden, benefit from mepolizumab, which improves symptoms and reduces exacerbations, potentially leading to clinical remission in a subgroup. This study aimed to identify treatment response trajectories to mepolizumab for severe eosinophilic asthma and to assess the achievement of clinical remission.Data from the Australian Mepolizumab Registry were used to assess treatment responses at 3, 6, and 12 months. The treatment response trajectories were identified using a group-based trajectory model. The proportions achieving clinical remission at 12 months, which was defined as well-controlled symptoms, no exacerbations, and no oral corticosteroid (OCS) use for asthma management, were compared between trajectories, and baseline predictors of the trajectories were identified using logistic regression analysis.We identified three trajectory groups: group 1, responsive asthma with less OCS use (n=170); group 2, responsive late-onset asthma (n=58); and group 3, obstructed and less responsive asthma (n=70). Groups 1 and 2 demonstrated higher proportions achieving clinical remission at 36.5% and 25.9%, respectively, compared to group 3 with 5.7% (p <0.001). Baseline predictors for assigned groups included lower OCS dose in group 1; greater FEV1% predicted, higher Asthma Quality of Life Questionnaire score, higher OCS dose, and nasal polyps in group 2; with group 3 as the reference.Treatment response to mepolizumab in severe eosinophilic asthma follows 3 trajectories with varying proportions achieving clinical remission and differing baseline characteristics. Treatment response variability may influence the achievement of clinical remission with mepolizumab therapy.

Late-Onset Asthma: A Review

Asthma is a chronic respiratory condition with a growing global prevalence, affecting millions of individuals annually. While asthma can develop at any age, late-onset asthma is a specific phenotype that begins in adulthood, as recognized by the Global Initiative for Asthma (GINA) in its 2024 guidelines. This form of asthma is often associated with several predisposing factors, including gender, obesity, occupational exposure, rhinitis, respiratory infections, smoking, stress, and diminished lung function. Unlike early-onset asthma, which frequently involves a history of allergies, late-onset asthma tends to lack allergic triggers, making it a distinct and challenging form of the disease. Managing late-onset asthma is often more complex, as it typically requires higher doses of corticosteroids and demonstrates a reduced responsiveness to standard steroid treatments. The exact mechanisms and pathophysiological processes contributing to the increased severity and poorer clinical outcomes in late-onset asthma remain largely unclear. This uncertainty often leads to underdiagnosis and inadequate management, further complicating patient care. Phenotypic analysis is recommended to improve treatment outcomes. This includes assessing clinical features and utilizing biomarkers, such as inflammatory markers and immunoglobulin E (IgE) levels, to guide targeted therapy when conventional steroid treatments are insufficient. However, there is a significant need for further research to elucidate the underlying mechanisms of late-onset asthma. This literature review is essential to develop more effective, personalized treatment strategies that can address the unique challenges posed by this asthma phenotype, ultimately leading to better management and improved patient outcomes.

Childhood infections, asthma and allergy trajectories, and chronic rhinosinusitis in middle age: A prospective cohort study across six decades.

Evidence on the early life risk factors of adult CRS, and the history of asthma and allergies across the life course, is limited. To investigate relationships between respiratory infective/allergic conditions in childhood, and asthma and allergies across the life course and CRS in middle age. Data were from the population-based Tasmanian Longitudinal Health Study (TAHS) cohort, first studied in 1968 when aged 6-7 years (n = 8583) and serially followed into middle age (n = 3609). Using a well-accepted epidemiological definition, participants were assigned a CRS-severity subtype at age 53: no sinusitis/CRS (reference); past doctor diagnosis only; current symptoms without doctor diagnosis; and doctor-diagnosed CRS with current symptoms. Relationships with infective/allergic respiratory illnesses at age 7, and previously published asthma-allergy trajectories from 7 to 53 years, were examined using multinominal regression. In middle age, 5.8% reported current CRS symptoms with 2.5% doctor-diagnosed. Childhood conditions associated with symptomatic doctor-diagnosed CRS included frequent head colds (multinomial odds ratio [mOR] = 2.04 (95% confidence interval [95% CI]: 1.24, 3.37)), frequent tonsillitis (mOR = 1.61 [95% CI: 1.00, 2.59]) and current childhood asthma (mOR = 2.23 [95% CI: 1.25, 3.98]). Life course trajectories that featured late-onset or persistent asthma and allergies were associated with all CRS subtypes in middle age; early-onset persistent asthma and allergies (mOR = 6.74, 95% CI: 2.76, 16.4); late-onset asthma allergies (mOR = 15.9, 95% CI: 8.06, 31.4), and late-onset hayfever (mOR = 3.02, 95% CI: 1.51, 6.06) were associated with symptomatic doctor-diagnosed CRS. Current asthma, frequent head colds and tonsillitis at age 7 could signal a susceptible child who is at higher risk for CRS in mid-adult life and who might benefit from closer monitoring and/or proactive management. Concurrent asthma and allergies were strongly associated and are potential treatable traits of adult CRS.

Immunobiologicals in severe asthma: case report

According to the Global Initiative for Asthma (GINA), asthma is a chronic-inflammatory respiratory disease, characterized by limitation of expiratory air flow, dyspnea, wheezing and tachypnea, especially at night or in contact with allergens, climate changes or presence of environmental pollution. Among its subtypes, severe asthma stands out, where the symptomatic condition persists despite optimized treatment at advanced levels. The present study is a case report associated with a literature review on the use of immunobiologicals in the clinical treatment of severe asthma. Female patient, 53 years old, history of late-onset asthma at age 25, with frequent exacerbations, using drug therapy based on inhaled corticosteroid (ICS), long-acting β2-agonist (LABA) and a long-acting muscarinic antagonist (LAMA) in a single inhaler associated with the use of oral corticosteroids. After confirming the diagnosis of severe non-allergic eosinophilic asthma of endotype T2, GINA 5, the patient started treatment with mepolizumab and months later she showed significant improvement with the use of the immunobiological 1x/month and use of ICS associated with LABA. 12/12h, without the need for oral corticosteroids and use of rescue medications less than 2x/week.

РАННЯЯ ДИАГНОСТИКА ПОЗДНЕЙ БРОНХИАЛЬНОЙ АСТМЫ У КОМОРБИДНЫХ ПАЦИЕНТОВ

Abstract. Introduction. Underdiagnosis of late-onset bronchial asthma and improvement of methods for its early detection is an important trend in medicine, which is associated with the increasing number of adult patients with variable respiratory symptoms, allergologic history, and comorbid background. It seems reasonable to improve the early diagnosis of late-onset asthma in comorbid patients using screening scales. Aim. To assess the risk of late-onset bronchial asthma in comorbid patients, using the Adult Epidemiologic Asthma Scale (A2) and the European Community Respiratory Health Survey (ECRHS) questionnaire. Material and Methods. Eighty patients aged 59.9±11.6 (–51.3% of them being female patients) were examined. Group 1: Comorbid patients with the established asthma; group 2: Comorbid patients without asthma. Asthma risk factors, respiratory symptoms, frequency of comorbid conditions, and blood eosinophil count were evaluated. Additionally, questionnaires including A2 and ECRHS scales were used in asthma screening. The diagnostic significance of questionnaires for early detection of late-onset asthma was assessed using ROC analysis. Results and Discussion: The patients examined were comparable in age, sex, and adherence to smoking. Over 63% of the group 1 patients had hereditary history of asthma and sensitization to allergens in contrast to the group 2 patients (0%). Patients in both groups frequently reported choking (group 1: 100%, group 2: 85.1%), cough (100% and 57.4%, respectively), and wheezing (69.7% and 38.3%, respectively). Among comorbidities, the frequency of which was comparable between the groups (p&gt;0.05), arterial hypertension (group 1: 66.7%, group 2: 59.6%) and obesity (60.6% and 42.6%, respectively) were predominant. Over 35% of patients in each group had chronic heart failure. There was a trend toward more frequent development of diabetes mellitus in patients with asthma (30.3% and 12.8%; p=0.054). The sum of A2 and ECRHS scale scores exceeded 4 in all patients with asthma. In group 2, “Probable asthma” was reported by 46.8% of patients in the A2 questionnaire and by 27.7% on the ECRHS scale. According to ROC-analysis, “Probable asthma” in the group 2 patients on A2 scale was recorded at the sum of scores &gt; 6 (100% sensitivity and 82.9% specificity) and &gt; 4 scores (87.8% sensitivity and 87.2% specificity) for ECRHS questionnaire. Conclusions. High diagnostic value of A2 and ECRHS questionnaires was determined in comorbid patients with respiratory symptoms without asthma. In 30% of cases, the questionnaire results established “Probable asthma” in this category of patients.

Identification of exhaled volatile organic compounds that characterize asthma phenotypes: A J-VOCSA study

BackgroundAsthma is characterized by phenotypes of different clinical, demographic, and pathological characteristics. Identifying the profile of exhaled volatile organic compounds (VOCs) in asthma phenotypes may facilitate establishing biomarkers and understanding asthma background pathogenesis. This study aimed to identify exhaled VOCs that characterize severe asthma phenotypes among patients with asthma. MethodsThis was a multicenter cross-sectional study of patients with severe asthma in Japan. Clinical data were obtained from medical records, and questionnaires were collected. Exhaled breath was sampled and subjected to thermal desorption gas chromatography-mass spectrometry (GC/MS). ResultsUsing the decision tree established in the previous nationwide asthma cohort study, 245 patients with asthma were divided into five phenotypes and subjected to exhaled VOC analysis with 50 healthy controls (HCs). GC/MS detected 243 VOCs in exhaled breath samples, and 142 frequently detected VOCs (50% of all samples) were used for statistical analyses. Cluster analysis assigning the groups with similar VOC profile patterns showed the highest similarities between phenotypes 3 and 4 (early-onset asthma phenotypes), followed by the similarities between phenotypes 1 and 2 (late-onset asthma phenotypes). Comparisons between phenotypes 1–5 and HC revealed 19 VOCs, in which only methanesulfonic anhydride showed p < 0.05 adjusted by false discovery rate (FDR). Comparison of these phenotypes yielded several VOCs showing different trends (p < 0.05); however, no VOCs showed p < 0.05 adjusted by FDR. ConclusionsExhaled VOC profiles may be useful for distinguishing asthma and asthma phenotypes; however, these findings need to be validated, and their pathological roles should be clarified.

Multivariate Cluster Analyses to Characterize Asthma Heterogeneity and Benralizumab Responsiveness

An improved understanding of how severe asthma heterogeneity affects response could inform treatment decisions. Characterize heterogeneity and benralizumab responsiveness in patients grouped by predefined Severe Asthma Research Program clusters using a multivariate approach. In post-hoc analyses of the randomized, double-blind, placebo-controlled phase III SIROCCO (NCT01928771) and CALIMA (NCT01914757) studies, patients with severe asthma who received benralizumab or placebo were assigned to clusters using an established discriminant function to analyze 11 clinical characteristics simultaneously. The annualized asthma exacerbation rate, exacerbation incidence, and lung function were analyzed across clusters. Patients (n= 2,281) met criteria for four of five clusters: cluster 2 (early-onset moderate asthma, n= 393), cluster 4 (early-onset severe asthma, n= 386), cluster 3 (late-onset severe asthma, n= 641), and cluster 5 (late-onset severe, obstructed asthma, n= 861); no patients met cluster 1 criteria. Exacerbation rate reductions were significant in late-onset severe asthma (-48% [95% CI, -61% to -31%]; P < .0001) and late-onset severe, obstructed asthma (-50% [95% CI, -59% to -38%]; P < .0001), with nonsignificant reductions in early-onset clusters. These differences could not be fully explained by blood eosinophil count differences. Values for improvements in FEV1 were significant in late-onset severe asthma (+133 mL [95% CI, 66-200]; P= .0001) and late-onset severe, obstructed asthma (+160 mL [95% CI, 85-235]; P < .0001) while maintaining acute bronchodilator responsiveness. Benralizumab reduced exacerbations and improved lung function, primarily in late-onset asthma clusters. This multivariate approach to identify subphenotypes, potentially reflecting pathobiological mechanisms, can guide therapy beyond univariate approaches.

Different Impacts of Traffic-Related Air Pollution on Early-Onset and Late-Onset Asthma.

Early-onset asthma (EOA) and late-onset asthma (LOA) are two distinct phenotypes. Air pollution has been associated with an increase in poorer asthma outcomes. The objective of this study was to examine the effects of traffic-related air pollution (TRAP) on asthma outcomes in EOA and LOA patients. A cross-sectional study was conducted on 675 asthma patients (LOA: 415) recruited from a major medical center in Taiwan. The land-use regression (LUR) model was used to estimate the level of exposure to PM10, PM2.5, NO2, and O3 on an individual level. We investigated the association between TRAP and asthma outcomes in EOA and LOA patients, stratified by allergic sensitization status, using a regression approach. An increase in PM10 was associated with younger age of onset, increased asthma duration, and decreased lung function in EOA patients (p<0.05). An increase in PM10 was associated with older age of onset, and decreased asthma duration, eosinophil count, and Asthma Control Test (ACT) score in LOA patients. An increase in PM2.5 was associated with younger age of onset, increased asthma duration, decreased eosinophil count, and lung function in EOA patients (p<0.05). An increase in PM2.5 was associated with decreased lung function and ACT score in LOA patients. An increase in NO2 was associated with increased eosinophil count and decreased lung function in EOA patients (p<0.05). An increase in O3 was associated with decreased lung function in LOA patients (p<0.05). In addition, associations of TRAP with age of onset and eosinophil counts were mainly observed in both EOA and LOA patients with allergic sensitization, and an association with ACT was mainly observed in LOA patients without allergic sensitization. The impact of TRAP on age of onset, eosinophil count, and lung function in EOA patients, and ACT in LOA patients, was affected by the status of allergic sensitization.

Overview of asthma patients followed up in a tertiary clinic.

Background. Asthma is a disease that combines different biological mechanisms, inflammatory pathways, and phenotypic features. Our aim was to investigate the demographic and disease characteristics of patients with asthma and to reveal the distribution with different phenotypes according to endotype groups. Methods. Patients were identified as eosinophilic if the absolute eosinophil count was measured at least once ≥ 300/μL during the oral corticosteroid free period or ≥ 150/μL under oral corticosteroids. Patients sensitive to at least one inhalant allergen with skin prick test and/ or spIgE measurement were defined as allergic. They were categorized into four main endotypes. Results. Data of 405 asthma patients with a median age of 50.9 years were analyzed. The prominent clinical and phenotypic characteristics of the study group were being obese (43.2%) or overweight (32%), severe asthma (49.6%), adult-onset (56.1%) or late-onset asthma (35.3%). The distribution of the four main endotypes according to eosinophilic and/or allergic status, is as follows: 22.7% allergic-eosinophilic (AE), 27.9% nonallergic-eosinophilic (NAE), 22.9% allergic-noneosinophilic (ANE), 26.4% nonallergic-noneosinophilic (NANE). While most severe asthma patients were in the AE and NAE groups, those with early-onset asthma were in AE and ANE, and those with late-onset asthma were in the NAE and NANE groups. The proportion of uncontrolled patients was higher in the NAE group. Among the severe asthma patients, the rate of uncontrolled disease was higher in those with NANE asthma. Conclusions. Different phenotypes were more closely related to some endotypes. This may allow the clinicians to identify patients and predict appropriate treatment modalities and response for individualized care.

Chronic rhinosinusitis with nasal polyps and allergic rhinitis as different multimorbid treatable traits in asthma.

Respiratory multimorbidities are linked to asthma, such as allergic rhinitis (AR) with early allergic asthma and chronic rhinosinusitis (CRS) with nasal polyps (CRSwNP) with late nonallergic asthma. Our aim was to investigate the association of asthma severity and control with specific upper airway phenotypes. Patients with asthma were prospectively recruited from 23 pulmonology and ear, nose, and throat clinics. Asthma severity and control, as well as upper airway comorbidities (AR and non-AR [NAR], CRSwNP, and CRS without nasal polyps [CRSsNP]) were assessed according to international consensus guidelines definitions. A total of 492 asthmatic patients were included. Half of the asthmatic patients (49.6%) had associated rhinitis (37.0% had AR and 12.6% had NAR) and 36.2% had CRS (16.7% had CRSsNP and 19.5% had CRSwNP), whereas 14.2% had no sinonasal symptoms. Most cases of AR (78%) and NAR (84%) were present in patients with mild-to-moderate asthma, whereas CRSwNP was more frequent in patients with severe asthma (35% [P< .001]), mainly nonatopic asthma (44% [P< .001]). Patients with severe asthma with CRSwNP had worse asthma control, which was correlated (r= 0.249 [P= .034]) with sinus occupancy. Multiple logistic regression analysis showed that late-onset asthma, intolerance of aspirin and/or nonsteroidal anti-inflammatory drugs, and CRSwNP were independently associated with severe asthma. Severe asthma is associated with CRSwNP, with sinus occupancy affecting asthma control. This study has identified 2 main different upper airway treatable traits, AR and CRSwNP, which need further evaluation to improve management and control of patients with asthma.

Analysis of the association of bronchial asthma clinical course with ER22/23EK and TTH111I polymorphic variants in the glucocorticoid receptor gene

bronchial asthma (BA) is one of the important and urgent medical and social problems ofour time due to the high incidence and prevalence, which keep increasing. This is a typical multifactorialdisease determined by the influence of external factors and genetic predisposition. The combination ofthese numerous factors determines the phenotypic heterogeneity of bronchial asthma. Identification ofasthma phenotypes was based mainly on clinical variables; however, further identification of clinicalphenotypes revealed their genetic heterogeneity. Accordingly, the determination of genetic marker datafor clinical phenotypes of bronchial asthma will improve the diagnostic capabilities of preventive andevidence-based medicine in the future. The objective of the study was to determine the features of thecourse of early-onset and late-onset BA depending on the ER22/23EK and Tth111I polymorphisms inthe glucocorticoid receptor gene and to supplement modern data on the role of genetic factors in BAonset and the severity for various phenotypes. We examined 553 BA patients and 95 apparently healthyindividuals. All of them had previously signed an informed consent form. BA diagnosis, severity, andcontrol level were determined according to the GINA recommendations-2016 and its later versions andthe Decree of the Ministry of Health of Ukraine No. 868 issued on 08 October 2013. Respiratory functionwas studied using Kardioplius diagnostic suite (Ukraine). The patients were divided into two clinicalgroups according to the BA onset: Group I included 282 patients with late-onset asthma, and GroupII included 271 patients with early-onset asthma. The Bioethics Committee of the Medical Institute ofSumy State University approved the study. The ER22/23EK (rs 6189/6190) and Tth111I (rs10052957)polymorphic variants in the glucocorticoid receptor (GR) gene were determined using polymerase chainreaction-restriction fragment length polymorphism analysis. Statistical analysis of obtained results wasperformed using SPSS–17 program. A statistically significant difference was observed in the distributionof genotypes for the ER22/23EK and TthIIII polymorphisms in the GR gene depending on BA severity,with a higher frequency of minor alleles in both cases in patients with severe BA (χ2 = 6.09; р = 0.048and χ2 = 15.8; р = 0.001, respectively). The relative risk of severe BA did not depend on the ER22/23EKpolymorphism in the GR gene; however, it was 3.63 times higher in the carriers of the TT genotype forthe Tth111I polymorphism vs. carriers of the major allele homozygotes. The risk of severe disease inearly-onset and late-onset BA depended on the Tth111I polymorphism in the GR gene; in the recessivemodel, it increased by 3.7 times for early-onset asthma and by 3.5 times – for late-onset asthma. Analysis&#x0D; of ER22/23EK (rs 6189/6190) and Tth111I (rs10052957) polymorphic variants in the GR gene demon-strated their possible correlation not only with the increased risk of BA, but also with certain phenotypes&#x0D; and severity of the disease.

Phytoestrogen-Based Hormonal Replacement Therapy Could Benefit Women Suffering Late-Onset Asthma.

It has been observed that plasmatic concentrations of estrogens, progesterone, or both correlate with symptoms in asthmatic women. Fluctuations in female sex steroid concentrations during menstrual periods are closely related to asthma symptoms, while menopause induces severe physiological changes that might require hormonal replacement therapy (HRT), that could influence asthma symptoms in these women. Late-onset asthma (LOA) has been categorized as a specific asthmatic phenotype that includes menopausal women and novel research regarding therapeutic alternatives that might provide relief to asthmatic women suffering LOA warrants more thorough and comprehensive analysis. Therefore, the present review proposes phytoestrogens as a promising HRT that might provide these females with relief for both their menopause and asthma symptoms. Besides their well-recognized anti-inflammatory and antioxidant capacities, phytoestrogens activate estrogen receptors and promote mild hormone-like responses that benefit postmenopausal women, particularly asthmatics, constituting therefore a very attractive potential therapy largely due to their low toxicity and scarce side effects.

Cluster Analysis of Finnish Population-Based Adult-Onset Asthma Patients.

Phenotypes of adult asthma have been identified in previous studies but rarely in population-based settings. To identify clusters of adult-onset asthma in a Finnish population-based study on subjects born before1967. We used population-based data from 1350 asthmatics with adult-onset asthma (Adult Asthma in Finland) from Finnish national registers. Twenty-eight covariates were selected based on literature. The number of covariates was reduced by using factor analysis before cluster analysis. Five clusters (CLU1-CLU5) were identified, 3 clusters with late-onset adult asthma (onset ≥40 years) and 2 clusters with onset at earlier adulthood (<40 years). Subjects in CLU1 (n= 666) had late-onset asthma and were nonobese, symptomatic, and predominantly female with few respiratory infections during childhood. CLU2 (n= 36) consisted of subjects who had earlier-onset asthma, were predominantly female, obese with allergic asthma, and had recurrent respiratory infections. Subjects in CLU3 (n= 75) were nonobese, older, and predominantly men with late-onset asthma, smoking history, comorbidities, severe asthma, least allergic diseases, low education, many siblings, and childhood in rural areas. CLU4 (n= 218) was a late-onset cluster consisting of obese females with comorbidities, asthma symptoms, and low education level. Subjects in CLU5 (n= 260) had earlier onset asthma, were nonobese, and predominantly allergic females. Our population-based adult-onset asthma clusters take into account several critical factors such as obesity and smoking, and identified clusters that partially overlap with clusters identified in clinical settings. Results give us a more profound understanding of adult-onset asthma phenotypes and support personalized management.

PRevalence of the Eosinophilic Phenotype Among SeveRE asthma patients in Lebanon: results of the PREPARE study

BackgroundThe prevalence of eosinophilic asthma in Lebanon, one of the most severe phenotypes among severe asthma, is not known. This study aimed at determining the prevalence of the eosinophilic phenotype defined as an eosinophil count ≥ 300 cells/mm3 among severe asthma patients in Lebanon.MethodsThe Lebanese Chapter of the PREPARE study was a national, multicenter, cross-sectional observational study. Patients aged ≥ 12 years with severe asthma were identified and prospectively enrolled during clinic visits and completed the Global Initiative for Asthma (GINA) assessment of asthma control questionnaire. Patients’ health characteristics were collected from medical records and blood samples were obtained for measurement of serum IgE levels and blood eosinophils count.ResultsOverall, 101 patients (with mean age of 46.3 ± 17.0 years and 73.27% females) with severe asthma were included and, among them, 37% had eosinophilic phenotype, 67.3% had atopic phenotype with IgE > 100 IU/mL and 25.7% patients had overlapping atopic and eosinophilic phenotypes. Close to 80% had late-onset asthma, beyond 12 years of age, and around 85% had at least one severe exacerbation in the 12 months prior to study enrolment. The majority of participants [64.4%] had uncontrolled asthma, 24.7% had partially controlled symptoms and 10.9% had controlled symptoms. 19.8% of participants were on chronic oral corticosteroids, 78.2% had short course treatment of corticosteroids and all were prescribed a combination of inhaled corticosteroids and long-acting beta-agonist.ConclusionsThe majority of patients with severe asthma were uncontrolled of which 37% present with an eosinophilic phenotype, which should be taken into consideration for better management of these patients in view of the novel phenotype-specific therapeutic options.

Molecular T2 asthma phenotypes are stable but heterogeneous: the usefulness of periostin for endotyping.

The stability of molecular T2/non-T2 phenotypes remains uncertain. The objectives of this study were to assess the stability of these phenotypes and the correlation between serum periostin and asthma T2 phenotypes and endotypes. Demographics, clinical data, and blood samples were collected. Patients diagnosed with moderate-to-severe asthma were classified into T2 or non-T2 according to previously defined thresholds of blood eosinophilia and serum total IgE levels. Asthma endotype was also determined. After at least 1 year of follow-up, the stability of T2 phenotypes and endotypes was assessed. A total of 53 patients (72% women), mean age 47 years (range 16-77), were included. In the initial and second evaluations, the T2 phenotype was found in 41.5% and 43.4% of patients and the non-T2 phenotype was found in 58.4% and 56.7%, respectively. The mean [standard deviation (SD), range] serum periostin level was 52.7 (26.2, 22.6-129.7) ng/mL in patients with T2 phenotype, and 39.3 (25.6, 7.7-104.) ng/mL in non-T2 patients (P = 0.063). Periostin levels correlated to endotypes (P = 0.001): 45.7 (27.9) ng/mL in allergic asthma (n = 16 patients), 64.7 (24.9) in aspirin-exacerbated respiratory disease (n = 14), 59.0 (27.6) ng/mL in late-onset eosinophilic asthma (n = 4), and 28.3 (13.3) ng/mL in non-eosinophilic asthma (n = 18). T2 and non-T2 asthma phenotypes assessed by accessible methods in daily practice are stable over time yet widely heterogeneous. Serum periostin does not discriminate between T2 and non-T2 phenotypes. Nevertheless, its correlation to asthma endotypes may contribute to guide therapies targeting T2 cytokines in a more personalized approach.

High Transcriptional Activity and Clinical Correlations in Eosinophils of Patients with Late-Onset Asthma.

The immunological features of eosinophils in early-onset asthma (EOA) differ from those in late-onset asthma (LOA). Clinical trials of anti-interleukin-5 (IL-5) treatment for severe eosinophilic asthma showed a better response for LOA patients than EOA patients. We wonder if the transcriptional activity of activated eosinophils was different in EOA and LOA. Eosinophils obtained from well-controlled EOA and LOA patients and normal subjects were compared in terms of the mRNA expression of activation-related genes and specific markers related to cell functions in eosinophils activated by IL-5 or IL-17. The correlation between mRNA expression and clinical features and lung function was further analyzed. The transcriptional expression of most genes was higher in activated eosinophils from LOA patients than in those from EOA patients and normal subjects. After IL-17 stimulation, the expression of certain genes was higher in atopic EOA patients than in non-atopic EOA patients. Similar observation was noted in obese EOA patients. After IL-5 stimulation, the transcriptional expression of most genes in eosinophils from LOA patients was negatively correlated with indicators of lung function. These correlations were less pronounced in EOA patients: After IL-17 stimulation, some genes in EOA patients were negatively correlated with post-bronchodilator changes in lung function. This study describes differences in the transcriptional active patterns of eosinophils and their correlation to atopy and obesity by age of onset. High transcriptional activity in activated eosinophils and a negative correlation to lung function indicate the importance of eosinophils in the pathogenesis of LOA.

Race/ethnicity-stratified fine-mapping of the MHC locus reveals genetic variants associated with late-onset asthma.

Introduction: Asthma is a chronic disease of the airways that impairs normal breathing. The etiology of asthma is complex and involves multiple factors, including the environment and genetics, especially the distinct genetic architecture associated with ancestry. Compared to early-onset asthma, little is known about genetic predisposition to late-onset asthma. We investigated the race/ethnicity-specific relationship among genetic variants within the major histocompatibility complex (MHC) region and late-onset asthma in a North Carolina-based multiracial cohort of adults. Methods: We stratified all analyses by self-reported race (i.e., White and Black) and adjusted all regression models for age, sex, and ancestry. We conducted association tests within the MHC region and performed fine-mapping analyses conditioned on the race/ethnicity-specific lead variant using whole-genome sequencing (WGS) data. We applied computational methods to infer human leukocyte antigen (HLA) alleles and residues at amino acid positions. We replicated findings in the UK Biobank. Results: The lead signals, rs9265901 on the 5' end of HLA-B, rs55888430 on HLA-DOB, and rs117953947 on HCG17, were significantly associated with late-onset asthma in all, White, and Black participants, respectively (OR = 1.73, 95%CI: 1.31 to 2.14, p = 3.62 × 10-5; OR = 3.05, 95%CI: 1.86 to 4.98, p = 8.85 × 10-6; OR = 19.5, 95%CI: 4.37 to 87.2, p = 9.97 × 10-5, respectively). For the HLA analysis, HLA-B*40:02 and HLA-DRB1*04:05, HLA-B*40:02, HLA-C*04:01, and HLA-DRB1*04:05, and HLA-DRB1*03:01 and HLA-DQB1 were significantly associated with late-onset asthma in all, White, and Black participants. Conclusion: Multiple genetic variants within the MHC region were significantly associated with late-onset asthma, and the associations were significantly different by race/ethnicity group.

Longitudinal Asthma Phenotypes from Childhood to Middle-Age: A Population-based Cohort Study.

Rationale: Asthma is a heterogeneous condition, and longitudinal phenotyping may provide new insights into the origins and outcomes of the disease. Objectives: We aimed to characterize the longitudinal phenotypes of asthma between the first and sixth decades of life in a population-based cohort study. Methods: Respiratory questionnaires were collected at seven time points in the TAHS (Tasmanian Longitudinal Health Study) when participants were aged 7, 13, 18, 32, 43, 50, and 53 years. Current-asthma and ever-asthma status was determined at each time point, and group-based trajectory modeling was used to characterize distinct longitudinal phenotypes. Linear and logistic regression models were fitted to investigate associations of the longitudinal phenotypes with childhood factors and adult outcomes. Measurements and Main Results: Of 8,583 original participants, 1,506 had reported ever asthma. Five longitudinal asthma phenotypes were identified: early-onset adolescent-remitting (40%), early-onset adult-remitting (11%), early-onset persistent (9%), late-onset remitting (13%), and late-onset persistent (27%). All phenotypes were associated with chronic obstructive pulmonary disease at age 53 years, except for late-onset remitting asthma (odds ratios: early-onset adolescent-remitting, 2.00 [95% confidence interval (CI), 1.13-3.56]; early-onset adult-remitting, 3.61 [95% CI, 1.30-10.02]; early-onset persistent, 8.73 [95% CI, 4.10-18.55]; and late-onset persistent, 6.69 [95% CI, 3.81-11.73]). Late-onset persistent asthma was associated with the greatest comorbidity at age 53 years, with increased risk of mental health disorders and cardiovascular risk factors. Conclusions: Five longitudinal asthma phenotypes were identified between the first and sixth decades of life, including two novel remitting phenotypes. We found differential effects of these phenotypes on risk of chronic obstructive pulmonary disease and nonrespiratory comorbidities in middle age.

Investigations of a combination of atopic status and age of asthma onset identify asthma subphenotypes

Objective Subphenotypes of asthma may be determined by age onset and atopic status. We sought to characterize early or late onset atopic asthma with fungal or non-fungal sensitization (AAFS or AANFS) and non-atopic asthma (NAA) in children and adults in the Severe Asthma Research Program (SARP). SARP is an ongoing project involving well-phenotyped patients with mild to severe asthma. Methods Phenotypic comparisons were performed using Kruskal-Wallis or chi-square test. Genetic association analyses were performed using logistic or linear regression. Results Airway hyper-responsiveness, total serum IgE levels, and T2 biomarkers showed an increasing trend from NAA to AANFS and then to AAFS. Children and adults with early onset asthma had greater % of AAFS than adults with late onset asthma (46% and 40% vs. 32%; P < 0.00001). In children, AAFS and AANFS had lower % predicted FEV1 (86% and 91% vs. 97%) and greater % of patients with severe asthma than NAA (61% and 59% vs. 43%). In adults with early or late onset asthma, NAA had greater % of patients with severe asthma than AANFS and AAFS (61% vs. 40% and 37% or 56% vs. 44% and 49%). The G allele of rs2872507 in GSDMB had higher frequency in AAFS than AANFS and NAA (0.63 vs. 0.55 and 0.55), and associated with earlier age onset and asthma severity. Conclusions Early or late onset AAFS, AANFS, and NAA have shared and distinct phenotypic characteristics in children and adults. AAFS is a complex disorder involving genetic susceptibility and environmental factors.