Dupilumab pharmacokinetics and effect on type 2 biomarkers in children with moderate-to-severe asthma.

BACKGROUND: Type 2 inflammation is common in children with asthma. Dupilumab, a human antibody, blocks the signaling of interleukin -4 and -13, key and central drivers of type 2 inflammation. In the LIBERTY ASTHMA VOYAGE (NCT02948959) study, dupilumab reduced severe asthma exacerbations and improved lung function in children aged 6 to 11 years with uncontrolled, moderate-to-severe asthma. OBJECTIVE: To assess the pharmacokinetics of dupilumab and type 2 biomarker changes in children with type 2 asthma in VOYAGE. METHODS: Patients were randomized to dupilumab 100 mg (≤30 kg) or 200 mg (>30 kg) or placebo every 2 weeks for 52 weeks. Dupilumab concentrations and changes in type 2 biomarkers were assessed at each visit. RESULTS: Dupilumab concentrations in serum reached a steady state by week 12, with mean concentrations of 51.2 mg/L and 79.4 mg/L in children receiving dupilumab 100 mg every 2 weeks and 200 mg every 2 weeks, respectively (therapeutic range in adults and adolescents: 29-80 mg/L). Reductions in type 2 biomarkers were comparable between regimens, and greater in patients treated with dupilumab vs placebo. In children treated with dupilumab 100 mg and 200 mg every 2 weeks, the median percent changes (Q1-Q3) from baseline at week 52 were, respectively, -78.6% (-86.3 to -69.80) and -78.6% (-84.9 to -70.1) for serum total immunoglobulin E, -53.6% (-66.4 to -34.6) and -43.7% (-58.6 to -28.5) for thymus and activation-regulated chemokine; -25.7% (-60.0 to 27.6) and -33.3% (-60.6 to 16.6) for blood eosinophils, and -47.7% (-73.8 to 18.9) and -55.6% (-73.6 to -20.0) for fractional exhaled nitric oxide. CONCLUSION: Weight-tiered dose regimens achieved mean concentrations within the dupilumab therapeutic range. The median decreases in type 2 biomarker levels were similar between dose regimens. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02948959.

Genetic analyses identify GSDMB associated with asthma severity, exacerbations, and antiviral pathways.

BACKGROUND: The Chr17q12-21.2 region is the strongest and most consistently associated region with asthma susceptibility. The functional genes or single nucleotide polymorphisms (SNPs) are not obvious due to linkage disequilibrium. OBJECTIVES: We sought to comprehensively investigate whole-genome sequence and RNA sequence from human bronchial epithelial cells to dissect functional genes/SNPs for asthma severity in the Severe Asthma Research Program. METHODS: Expression quantitative trait loci analysis (n = 114), correlation analysis (n = 156) of gene expression and asthma phenotypes, and pathway analysis were performed in bronchial epithelial cells and replicated. Genetic association for asthma severity (426 severe vs 531 nonsevere asthma) and longitudinal asthma exacerbations (n = 273) was performed. RESULTS: Multiple SNPs in gasdermin B (GSDMB) associated with asthma severity (odds ratio, >1.25) and longitudinal asthma exacerbations (P < .05). Expression quantitative trait loci analyses identified multiple SNPs associated with expression levels of post-GPI attachment to proteins 3, GSDMB, or gasdermin A (3.1 × 10-9 

ß-Agonist exposure preferentially impacts lung macrophage cyclic AMP-related gene expression in asthma and asthma COPD overlap syndrome.

Bronchoalveolar lavage (BAL) samples from Severe Asthma Research Program (SARP) patients display suppression of a module of genes involved in cAMP-signaling pathways (BALcAMP) correlating with severity, therapy, and macrophage constituency. We sought to establish if gene expression changes were specific to macrophages and compared gene expression trends from multiple sources. Datasets included single-cell RNA sequencing (scRNA-seq) from lung specimens including a fatal exacerbation of severe Asthma COPD Overlap Syndrome (ACOS) after intense therapy and controls without lung disease, bulk RNA sequencing from cultured macrophage (THP-1) cells after acute or prolonged ß-agonist exposure, SARP datasets, and data from the Immune Modulators of Severe Asthma (IMSA) cohort. THP monocytes suppressed BALcAMP network gene expression after prolonged relative to acute ß-agonist exposure, corroborating SARP observations. scRNA-seq from healthy and diseased lung tissue revealed 13 cell populations enriched for macrophages. In severe ACOS, BALcAMP gene network expression scores were decreased in many cell populations, most significantly for macrophage populations (P < 3.9e-111). Natural killer (NK) cells and type II alveolar epithelial cells displayed less robust network suppression (P < 9.2e-8). Alveolar macrophages displayed the most numerous individual genes affected and the highest amplitude of modulation. Key BALcAMP genes demonstrate significantly decreased expression in severe asthmatics in the IMSA cohort. We conclude that suppression of the BALcAMP gene module identified from SARP BAL samples is validated in the IMSA patient cohort with physiological parallels observed in a monocytic cell line and in a severe ACOS patient sample with effects preferentially localizing to macrophages.

Asthma biologics: Comparing trial designs, patient cohorts and study results.

OBJECTIVE: Five biologic therapies have FDA-approved indications for difficult-to-control asthma. The clinical trials that proved the efficacy and safety of these biologics were often similar in their inclusion criteria, study designs, and endpoints. Many of these trials have been reanalyzed post hoc to identify subsets of subjects considered to be enhanced responders. As a result, keeping up with the literature and deciding on the most appropriate biologic for our patients has become increasingly difficult. This review summarizes and compares trial designs, patient cohorts, and study results of the major trials involving these therapies. DATA SOURCES: Included are basic science articles, online Food and Drug Administration (FDA) applications, and all the published reports of phase II and phase III clinical trials for FDA-approved asthma biologics. STUDY SELECTIONS: Included are the major phase II and phase III clinical trials of 5 asthma biologics. RESULTS: Because of variations in inclusion criteria and natural variations in enrolled cohorts, the baseline clinical traits and severity of study populations in asthma biologic trials differed significantly, which is important because baseline annualized exacerbation rates and blood eosinophilia are both strong predictors of a biologic's success. Notwithstanding, the trial results, when considered together, can help guide care providers in choosing the most appropriate biologic for our patients. CONCLUSION: Understanding the details and differences in asthma biologic trial designs, patient cohorts, and in study results will help care providers make more informed decisions when choosing a biologic. We are hopeful this review will serve as a reference to care providers for this purpose.

BAL Cell Gene Expression in Severe Asthma Reveals Mechanisms of Severe Disease and Influences of Medications.

Rationale: Gene expression of BAL cells, which samples the cellular milieu within the lower respiratory tract, has not been well studied in severe asthma.Objectives: To identify new biomolecular mechanisms underlying severe asthma by an unbiased, detailed interrogation of global gene expression.Methods: BAL cell expression was profiled in 154 asthma and control subjects. Of these participants, 100 had accompanying airway epithelial cell gene expression. BAL cell expression profiles were related to participant (age, sex, race, and medication) and sample traits (cell proportions), and then severity-related gene expression determined by correlating transcripts and coexpression networks to lung function, emergency department visits or hospitalizations in the last year, medication use, and quality-of-life scores.Measurements and Main Results: Age, sex, race, cell proportions, and medications strongly influenced BAL cell gene expression, but leading severity-related genes could be determined by carefully identifying and accounting for these influences. A BAL cell expression network enriched for cAMP signaling components most differentiated subjects with severe asthma from other subjects. Subsequently, an in vitro cellular model showed this phenomenon was likely caused by a robust upregulation in cAMP-related expression in nonsevere and ß-agonist-naive subjects given a ß-agonist before cell collection. Interestingly, ELISAs performed on BAL lysates showed protein levels may partly disagree with expression changes.Conclusions: Gene expression in BAL cells is influenced by factors seldomly considered. Notably, ß-agonist exposure likely had a strong and immediate impact on cellular gene expression, which may not translate to important disease mechanisms or necessarily match protein levels. Leading severity-related genes were discovered in an unbiased, system-wide analysis, revealing new targets that map to asthma susceptibility loci.

Dysfunctional ErbB2, an EGF receptor family member, hinders repair of airway epithelial cells from asthmatic patients.

BACKGROUND: Genetic and genomic data increasingly point to the airway epithelium as critical to asthma pathogenesis. Epithelial growth factor (EGF) family members play a fundamental role in epithelial differentiation, proliferation, and repair. Although expression of erythroblastosis oncogene B2 (ErbB2) mRNA, an EGF family receptor, was reported to be lower in asthmatic patients, little is understood about its functional role. OBJECTIVE: We sought to determine whether decreased ErbB2 activation in freshly isolated human airway epithelial cells (HAECs) from asthmatic patients associated with impaired wound closure in vitro. METHODS: An in vitro scratch-wound model of air-liquid interface cultured and freshly isolated HAECs were compared between HAECs from healthy control subjects (HCs) and asthmatic patients in relation to ErbB2. RESULTS: Freshly brushed HAECs from asthmatic patients had impaired ErbB2 activation compared with those from HCs. In an in vitro scratch-wound model, HAECs from asthmatic patients showed delayed wound closure compared with HAECs from HCs. Cell proliferation, as assessed based on [3H] thymidine incorporation after wounding, and expression or activation of ErbB2 and cyclin D1 at the leading edge of the wound were lower in HAECs from asthmatic patients and HCs. A selective ErbB2 tyrosine kinase inhibitor, mubritinib, impaired wound closure and decreased cyclin D1 expression in healthy HAECs, with less effect on cells from asthmatic patients, supporting diminished activity in asthmatic patients. CONCLUSION: These results implicate a primary defect in the ErbB2 pathway as constraining epithelial repair processes in asthmatic patients. Restoration of homeostatic ErbB2 function should be considered a novel asthma therapeutic target.

Gene Expression Correlated with Severe Asthma Characteristics Reveals Heterogeneous Mechanisms of Severe Disease.

RATIONALE: Severe asthma (SA) is a heterogeneous disease with multiple molecular mechanisms. Gene expression studies of bronchial epithelial cells in individuals with asthma have provided biological insight and underscored possible mechanistic differences between individuals. OBJECTIVES: Identify networks of genes reflective of underlying biological processes that define SA. METHODS: Airway epithelial cell gene expression from 155 subjects with asthma and healthy control subjects in the Severe Asthma Research Program was analyzed by weighted gene coexpression network analysis to identify gene networks and profiles associated with SA and its specific characteristics (i.e., pulmonary function tests, quality of life scores, urgent healthcare use, and steroid use), which potentially identified underlying biological processes. A linear model analysis confirmed these findings while adjusting for potential confounders. MEASUREMENTS AND MAIN RESULTS: Weighted gene coexpression network analysis constructed 64 gene network modules, including modules corresponding to T1 and T2 inflammation, neuronal function, cilia, epithelial growth, and repair mechanisms. Although no network selectively identified SA, genes in modules linked to epithelial growth and repair and neuronal function were markedly decreased in SA. Several hub genes of the epithelial growth and repair module were found located at the 17q12-21 locus, near a well-known asthma susceptibility locus. T2 genes increased with severity in those treated with corticosteroids but were also elevated in untreated, mild-to-moderate disease compared with healthy control subjects. T1 inflammation, especially when associated with increased T2 gene expression, was elevated in a subgroup of younger patients with SA. CONCLUSIONS: In this hypothesis-generating analysis, gene expression networks in relation to asthma severity provided potentially new insight into biological mechanisms associated with the development of SA and its phenotypes.

Use of a composite symptom score during challenge in patients with suspected aspirin-exacerbated respiratory disease.

BACKGROUND: Aspirin-exacerbated respiratory disease is characterized by asthma, chronic rhinosinusitis, nasal polyposis, and sensitivity to aspirin and other nonsteroidal anti-inflammatory drugs. Confirmation of the diagnosis requires provocation challenge with resulting upper and/or lower airways reactivity. Currently, determination of a positive challenge result is based solely on clinical judgment that synthesizes subjective symptoms and objective measures, as a concomitant increase in nasal or bronchial airways resistance is measured in only half of patients. OBJECTIVE: To describe a quantitative scoring system, based on symptoms typically reported during provocation challenge, used to identify a positive challenge result. METHODS: A total of 115 patients were asked to record 10 symptoms, rated on a scale from 1 (mild) to 10 (most severe), at regular intervals during intranasal ketorolac with modified oral aspirin challenge performed in our office. Composite scores, a simple sum of all individual scores, were calculated at each time point and compared with baseline, prechallenge values. RESULTS: One hundred of the 115 patients were determined to have a positive challenge result. A statistically significant difference in composite scores was observed in reactors vs nonreactors. All nonreactors recorded an increase in composite score of less than 5, whereas 69% of reactors recorded an increase of 5 or more. CONCLUSION: Our 10-symptom composite score provides a quantitative and comparable measure of symptoms that typically present during a challenge with a positive result. Although an external validation is needed to confirm its diagnostic performance characteristics, a change in composite score of 5 or more appears to be specific to reactors.

Gene expression in relation to exhaled nitric oxide identifies novel asthma phenotypes with unique biomolecular pathways.

RATIONALE: Although asthma is recognized as a heterogeneous disease associated with clinical phenotypes, the molecular basis of these phenotypes remains poorly understood. Although genomic studies have successfully broadened our understanding in diseases such as cancer, they have not been widely used in asthma studies. OBJECTIVES: To link gene expression patterns to clinical asthma phenotypes. METHODS: We used a microarray platform to analyze bronchial airway epithelial cell gene expression in relation to the asthma biomarker fractional exhaled nitric oxide (FeNO) in 155 subjects with asthma and healthy control subjects from the Severe Asthma Research Program (SARP). MEASUREMENTS AND MAIN RESULTS: We first identified a diverse set of 549 genes whose expression correlated with FeNO. We used k-means to cluster the patient samples according to the expression of these genes, identifying five asthma clusters/phenotypes with distinct clinical, physiological, cellular, and gene transcription characteristics-termed "subject clusters" (SCs). To then investigate differences in gene expression between SCs, a total of 1,384 genes were identified that highly differentiated the SCs at an unadjusted P value < 10(-6). Hierarchical clustering of these 1,384 genes identified nine gene clusters or "biclusters," whose coexpression suggested biological characteristics unique to each SC. Although genes related to type 2 inflammation were present, novel pathways, including those related to neuronal function, WNT pathways, and actin cytoskeleton, were noted. CONCLUSIONS: These findings show that bronchial epithelial cell gene expression, as related to the asthma biomarker FeNO, can identify distinct asthma phenotypes, while also suggesting the presence of underlying novel gene pathways relevant to these phenotypes.

Characteristics and outcomes of ambulatory patients with suspected COVID-19 at a respiratory referral center.

RATIONALE: SARS-CoV-2 continues to cause a global pandemic and management of COVID-19 in outpatient settings remains challenging. OBJECTIVE: We sought to describe characteristics of patients with chronic respiratory disease (CRD) experiencing symptoms consistent with COVID-19, who were seen in a novel Acute Respiratory Clinic, prior to widely available testing, emergence of variants, COVID-19 vaccination, and post-vaccination (breakthrough) SARS-CoV-2 infections. METHODS: Retrospective electronic medical record data were analyzed from 907 adults with presumed COVID-19 seen between March 16, 2020 and January 7, 2021. Data included demographics, comorbidities, medications, vital signs, laboratory tests, pulmonary function tests, patient disposition, and co-infections. The overdispersed data (aod) R package was used to create a logit model using COVID-19 diagnosis by PCR as the dichotomous outcome variable. Univariate, conventional multivariate and elastic net machine learning were used to analyze data. RESULTS: Male gender, elevated baseline temperature, and respiratory rate predicted COVID-19 diagnosis. Eosinopenia, neutrophilia, and lymphocytosis were also associated with COVID-19 diagnosis. However, asthma and COPD diagnoses were not associated with SARS-CoV-2 PCR positive test. Male gender, low oxygen saturation, and lower forced expiratory volume in 1 s (FEV1) were associated with higher hospital referral. CONCLUSIONS: CRD patients with acute respiratory symptoms in the ambulatory setting were more likely to have COVID-19 if male, febrile and tachypneic. Patients with lower pre-morbid FEV1 and lower SPO2 are more likely to be referred to the hospital. A composite of vitals sigs and WBC differential help risk stratify CRD patients seeking care for presumed COVID-19.

NHLBI-CMREF Workshop Report on Pulmonary Vascular Disease Classification: JACC State-of-the-Art Review.

The National Heart, Lung, and Blood Institute and the Cardiovascular Medical Research and Education Fund held a workshop on the application of pulmonary vascular disease omics data to the understanding, prevention, and treatment of pulmonary vascular disease. Experts in pulmonary vascular disease, omics, and data analytics met to identify knowledge gaps and formulate ideas for future research priorities in pulmonary vascular disease in line with National Heart, Lung, and Blood Institute Strategic Vision goals. The group identified opportunities to develop analytic approaches to multiomic datasets, to identify molecular pathways in pulmonary vascular disease pathobiology, and to link novel phenotypes to meaningful clinical outcomes. The committee suggested support for interdisciplinary research teams to develop and validate analytic methods, a national effort to coordinate biosamples and data, a consortium of preclinical investigators to expedite target evaluation and drug development, longitudinal assessment of molecular biomarkers in clinical trials, and a task force to develop a master clinical trials protocol for pulmonary vascular disease.

Sialylation of MUC4ß N-glycans by ST6GAL1 orchestrates human airway epithelial cell differentiation associated with type-2 inflammation.

Although type-2-induced (T2-induced) epithelial dysfunction is likely to profoundly alter epithelial differentiation and repair in asthma, the mechanisms for these effects are poorly understood. A role for specific mucins, heavily N-glycosylated epithelial glycoproteins, in orchestrating epithelial cell fate in response to T2 stimuli has not previously been investigated. Levels of a sialylated MUC4ß isoform were found to be increased in airway specimens from asthmatic patients in association with T2 inflammation. We hypothesized that IL-13 would increase sialylation of MUC4ß, thereby altering its function and that the ß-galactoside α-2,6-sialyltransferase 1 (ST6GAL1) would regulate the sialylation. Using human biologic specimens and cultured primary human airway epithelial cells (HAECs),we demonstrated that IL-13 increases ST6GAL1-mediated sialylation of MUC4ß and that both were increased in asthma, particularly in sputum supernatant and/or fresh isolated HAECs with elevated T2 biomarkers. ST6GAL1-induced sialylation of MUC4ß altered its lectin binding and secretion. Both ST6GAL1 and MUC4ß inhibited epithelial cell proliferation while promoting goblet cell differentiation. These in vivo and in vitro data provide strong evidence for a critical role for ST6GAL1-induced sialylation of MUC4ß in epithelial dysfunction associated with T2-high asthma, thereby identifying specific sialylation pathways as potential targets in asthma.

Advanced and Accurate Mobile Health Tracking Devices Record New Cardiac Vital Signs.

Cardiovascular disease remains the leading cause of death and disease worldwide. As demands on an already resource-constrained healthcare system intensify, disease prevention in the future will likely depend on out-of-office monitoring of cardiovascular risk factors. Mobile health tracking devices that can track blood pressure and heart rate, in addition to new cardiac vital signs, such as physical activity level and pulse wave velocity (PWV), offer a promising solution. An initial barrier is the development of accurate and easily-scalable platforms. In this study, we made a customized smartphone app and used mobile health devices to track PWV, blood pressure, heart rate, physical activity, sleep duration, and multiple lifestyle risk factors in ≈250 adults for 17 continual weeks. Eligible participants were identified by a company database and then were consented and enrolled using only a smartphone app, without any special training given. Study participants reported high overall satisfaction, and 73% of participants were able to measure blood pressure and PWV, <1 hour apart, for at least 14 of 17 weeks. The study population's blood pressure, PWV, heart rate, activity levels, sleep duration, and the interrelationships among these measurements were found to closely match either population averages or values obtained from studies performed in a controlled setting. As a proof-of-concept, we demonstrated the accuracy and ease, as well as many challenges, of using mHealth technology to accurately track PWV and new cardiovascular vital signs at home.

Aspirin and Nonsteroidal Antiinflammatory Drugs Hypersensitivity and Management.

Aspirin and nonsteroidal antiinflammatory drugs (NSAIDs) are widely used in the United States and throughout the world for a variety of indications. Several unique hypersensitivity syndromes exist to this class of medications, making them one of the common reasons for consultation to the allergist. The lack of any laboratory-based diagnostic studies to assist in identifying the culprits in these reactions make evaluation of aspirin and NSAID hypersensitivity challenging. Identifying patients appropriate for oral challenge and/or desensitization protocols is the standard pragmatic approach to this issue when it arises.

Emerging concepts: mast cell involvement in allergic diseases.

In a process known as overt degranulation, mast cells can release all at once a diverse array of products that are preformed and present within cytoplasmic granules. This occurs typically within seconds of stimulation by environmental factors and allergens. These potent, preformed mediators (ie, histamine, heparin, serotonin, and serine proteases) are responsible for the acute symptoms experienced in allergic conditions such as allergic conjunctivitis, allergic rhinitis, allergy-induced asthma, urticaria, and anaphylaxis. Yet, there is reason to believe that the actions of mast cells are important when they are not degranulating. Mast cells release preformed mediators and inflammatory cytokines for periods after degranulation and even without degranulating at all. Mast cells are consistently seen at sites of chronic inflammation, including nonallergic inflammation, where they have the ability to temper inflammatory processes and shape tissue morphology. Mast cells can trigger actions and chemotaxis in other important immune cells (eg, eosinophils and the newly discovered type 2 innate lymphocytes) that then make their own contributions to inflammation and disease. In this review, we will discuss the many known and theorized contributions of mast cells to allergic diseases, focusing on several prototypical allergic respiratory and skin conditions: asthma, chronic rhinosinusitis, aspirin-exacerbated respiratory disease, allergic conjunctivitis, atopic dermatitis, and some of the more common medication hypersensitivity reactions. We discuss traditionally accepted roles that mast cells play in the pathogenesis of each of these conditions, but we also delve into new areas of discovery and research that challenge traditionally accepted paradigms.

Improvement in Asthma Control Using a Minimally Burdensome and Proactive Smartphone Application.

BACKGROUND: Integrated chronic disease treatment models that enable patient self-care and shared treatment decision making have recently been shown to improve medication adherence and outcomes. Smartphone applications (apps) are a readily available means to enable this model, although sustained user engagement remains a challenge. OBJECTIVE: To assess the efficacy of improving asthma control using a proactive smartphone app without required regular inputs. METHODS: We designed a minimally intrusive smartphone app to provide individualized and timely support to patients with asthma based on the National Asthma Education and Prevention Program guidelines and Scripps management pathways. In this proof-of-concept study, we enrolled 60 adults with poorly controlled asthma to test the usability and effectiveness of this app over a 4-month period. The Asthma Control Test survey was used to assess control before, during, and after app use. As a corollary, a retrospective chart review was also used to assess changes in lung function and prescribed courses of systemic corticosteroids. RESULTS: Our patients, with a mean age of 50 years, reported an improvement in Asthma Control Test scores from 16.6 (inadequate to poor) to 20.5 (controlled) over the study period. Concurrently, there was a 7.9% absolute increase in FEV1, while courses of systemic corticosteroids decreased from 0.5 to 0.3 courses per 6-month period. Fifty-eight of 60 patients completed the final survey, with high satisfaction reported. CONCLUSIONS: This app improved asthma control in a cohort of patients with uncontrolled asthma (age range, 17-82 years), while minimizing burdensome inputs and proactively providing individualized teaching and treatment support. The app and treatment model are scalable to cost-effectively manage chronic disease.