Zein, Joe

Abstract Introduction: The airway inflammation of asthma is characterized by immune phenotypes, often classified as Type 2 inflammation high or low. Social determinants of health (SDoH) can influence asthma risk and severity, but whether or not SDoH influence immune phenotypes is unclear. The social deprivation index (SDI) is a composite measure of seven neighborhood level characteristics: poverty level, less than 12 years of education, single parent household, living in rented housing unit, living in overcrowded housing unit, households without a car, and non-employed adults under 65 years of age. The scale of SDI ranges from 1 to 100, correlating with increasing deprivation. We hypothesized that social deprivation influences immune phenotype of asthma, and that deprivation effects vary by sex and race. Methods: Using the American Community Survey summary file spanning 2015 to 2019, we linked SDI to participant zip codes for 680 Black and White participants in the Severe Asthma Research Program (SARP), a NHLBI-multicenter network phenotyping asthma across the US from 2001-2024 (table 1). We compared SDI among the cohort by sex, race and asthma severity, and correlated SDI to superoxide dismutase (SOD) and T2-high biomarkers, such as eosinophils, IgE and Fraction of Exhaled Nitric Oxide (FENO). Results: SDI is similar across healthy and asthmatic participants (SDI: median [interquartile range]: healthy: 40 [56]; asthmatics: 51 [53], P = 0.53). When evaluated by race, SDI is significantly higher in Black asthmatics, independent of sex (SDI: Black male: 76 [4], White male: 35 [45]; P<0.0001; Black females: 77 [35], White females: 40 [45]; P<0.00010). Within SARP asthmatics, SDI shows a positive association with the T2 inflammatory markers, log IgE (R=0.13 [90%CI: 0.1, 0.2)] and log FENO (R=0.15 [90%CI: 0.1, 0.2]), while it correlates negatively with log of absolute neutrophil count (R= -0.12 [90%CI: -0.19,-0.1]). The antioxidant enzyme SOD increases with SDI (R=0.11, [90% CI: 0.04, 0.17]). Notably, within Black asthmatic males only, SDI is associated with Type 2 biomarkers, showing a positive correlation with log FENO (R=0.24 [90%CI: 0.1,0.4]) and negative correlation with log IgE levels (R= -0.25, [90% CI: -0.4, -0.1]). No association was found between SDI and eosinophils or with SOD in Black males. Conclusions: Neighborhood level social deprivation is associated with a unique asthma phenotype in Black males. Black males living at high social deprivation have a lower IgE and higher FENO, with no change in SOD activity.

Abstract Background. Sarcopenia (i.e. skeletal muscle loss) is a significant contributor to adverse clinical outcomes in patients with COPD. Nutritional intake and physical activity influence sarcopenia and frailty. There is increasing recognition that social determinants of health (SDOH) play critical roles in nutritional status. We evaluated the impact of SDOH on clinical outcomes in hospitalized patients with COPD and sarcopenia and/or frailty. Design. The Nationwide Inpatient Sample (NIS) (years 2018-2020) was analyzed to study adult hospitalized patients with a primary diagnosis of COPD (J43, J44). SDOH was defined by ICD-10 Z-codes as a composite sum of problems related to housing and economic status, unemployment, occupation, psychosocial, family, and healthcare access. Sarcopenia and frailty were defined by a composite of ICD10 codes that have been previously validated in the literature. Multivariate regression models were generated to determine the impact of sarcopenia, frailty, and sarcopenia+frailty on clinical outcomes in COPD patients, which were adjusted for age, race, sex, SDOH, and comorbidities (cardiovascular disease, anemia, coagulopathy, HIV, depression, diabetes mellitus). Results. Of the 282,164 COPD patients that were analyzed, 7254 (2.6%) had codes related to SDOH, 21,035 (7.5%) had sarcopenia, 106,995 (37.9%) had frailty, and 11,293 (4%) had both sarcopenia and frailty. The predominant SDOH code was related to housing (70.9%) followed by social environment (11.5%). SDOH codes were more prevalent in patients with sarcopenia alone (3.6%), compared with frailty (2.5%) or sarcopenia+frailty (2.6%) (p<0.001). When adjusted for demographics including age, race, and sex, SDOH was associated with greater odds of sarcopenia (adj OR 1.64, 95% CI: 1.51-1.79), frailty (adj OR 1.17, 95% CI: 1.11-1.24), and sarcopenia+frailty (adj OR 1.72; 95% CI: 1.54-1.90). COPD patients with sarcopenia+frailty had the greatest association with adverse clinical outcomes (i.e. in-hospital mortality, higher healthcare cost, and higher length of stay), followed by frailty alone, and sarcopenia alone (Table 1). Conclusion. In COPD patients, SDOH increased the odds for a diagnosis of sarcopenia, frailty, and sarcopenia+frailty. Sarcopenia+frailty had the greatest association with adverse outcomes in COPD patients, followed by frailty alone, and sarcopenia alone.

Abstract RATIONALE The best described endotype of COPD is alpha-1 antitrypsin (AAT) deficiency, which is due to a genetic abnormality in the SERPINA1 gene. Homozygotes for the Z allele (PI[asterisk]ZZ individuals) carry the genotype most commonly associated with severe AAT deficiency, but a highly prevalent endotype is the heterozygous state (PI[asterisk]MZ individuals). Here we test the hypothesis that individuals with PI[asterisk]MZ genotype are at higher risk for COPD exacerbation and healthcare utilization compared to those with no pathogenic variants in the SERPINA1 gene (PI[asterisk]MM individuals). METHODS Real-world data on 4,456 individuals with available AAT genotyping were extracted from the Cleveland Clinic Health System (CCHS) electronic health records (EHR) and analyzed to compare the risk of moderate COPD exacerbation (defined as a short-term steroid prescription), all-cause emergent care (defined as an express care visit, urgent care visit, or emergency department visit), and all-cause hospitalization between individuals with PI[asterisk]MZ vs. PI[asterisk]MM genotypes. Cox proportional hazards models were used to adjust for age, sex, race, BMI, smoking status, comorbidity count, liver disease diagnosis, and median income by zip code.To assess the effect of AAT levels on outcomes, we categorized participants into three groups based on AAT level and used 90 mg/dL as a threshold given it is the lower limit of the normal reference range and genotype: MM individuals with an AAT level >90 mg/dL, MZ >90 mg/dL and MZ <90 mg/dL. To assess the effect of PI[asterisk]MZ genotype among individuals with pre-existing lung disease, we performed a subgroup analysis of individuals with at least a six-month inhaler prescription. RESULTS In this cohort, 308 individuals had a PI[asterisk]MZ genotype. PI[asterisk]MZ was associated with increased risk for moderate COPD exacerbations (adjusted HR [95% CI]: 1.66 [1.27, 2.17]) and hospitalizations (adjusted HR [95% CI]: 1.44 [1.19, 1.75]) compared to PI[asterisk]MM. The risk of hospitalization was higher among PI[asterisk]MZ individuals with AAT levels <90 mg/dL (adjusted HR [95% CI]: 1.59 [1.14, 2.23]) but not in those with AAT levels >90 mg/dL, as compared to PI[asterisk]MM. Sensitivity analysis in those treated with inhaler therapy showed overall similar results. CONCLUSIONS Increased hospitalizations and moderate COPD exacerbations among PI[asterisk]MZ individuals compared to PI[asterisk]MM individuals merit future prospective studies to better characterize the longitudinal course and healthcare utilization among those with an PI[asterisk]MZ genotype. Given the high prevalence of these carriers globally, PI[asterisk]MZ represents a COPD phenotype that invites additional investigation to identify biomarkers of worse disease and treatable traits.

Abstract Rationale: The club cell secretory protein (CC16), encoded by the SCGB1A1 gene, has an anti-inflammatory role in airways diseases, including asthma (Li, AJRCCM 2023; Voraphani, AJRCCM 2023). We hypothesize that additional pathway genes regulated or co-expressed with CC16 have cumulative effects on asthma severity outcomes by modulating airway inflammation and maintaining lung homeostasis. Methods: As published previously, four genes were downregulated in CC16 knockout experiments and correlated with CC16 levels: BPIFA1, SFTPD, LTF, and LYZ (Iannuzo, Front. Immunol 2023). We developed a four-gene biomarker score in 94 patients with asthma from the NHLBI-sponsored Severe Asthma Research Program (SARP3) who underwent research bronchoscopy for lower airway epithelial brushings, RNA isolation, and bulk RNA sequencing. We log-transformed the raw values of each transcript; obtained standardized residuals from regression models that included sex, age, and batch effects; and summed the standardized residuals of all four proteins to estimate a standardized sum score (Zhai, JACI Allergy 2024). Logistic regression models tested the four-gene score, three-gene score without LTF, and individual transcripts for associations with exacerbations during 12-month follow-up and zero-inflated negative binomial regression for number of exacerbations. Results: 30.85% percent of 94 patients experienced at least one exacerbation at the end of follow-up. The CC16-associated four-gene biomarker score showed protective effects on asthma exacerbation risk with a 54% percent reduction in exacerbation risk for every one-fold higher score (OR=0.46, 95% CI: 0.27-0.78, p =0.0040, Figure 1). Transcript expression of BPIFA1 (OR=0.87, 95% CI:0.66-1.16, p=0.337), SFTPD (OR=0.33, 95% CI:0.04-2.52, p=0.283), LYZ (OR=0.62, 95%CI:0.28-1.39, p=0.248), and LTF (OR=0.36, 95% CI:0.18-0.74, p=0.0053) all indicated protective directionality with respect to exacerbation risk. However, only LTF demonstrated a statistically significant association. When we excluded LTF, the remaining three-gene score showed a trend toward association with risk (OR=0.64, 95% CI:0.40-1.03, p=0.068) and was significantly associated with number of exacerbations (RR=0.49, 95% CI:0.26-0.95, p=0.034). Compared to LTF alone (OR=0.48, PPV=0.50, NPV=0.71, Sensitivity=0.14, AUC=0.65), the combined four-gene score (OR=0.46, PPV=0.60, NPV= 0.73, Sensitivity=0.21, AUC=0.68) showed improved predictive performance. Conclusions: We identified a CC16-associated transcriptomic predictive score for asthma exacerbations, with LTF showing the strongest effect. Although the other three genes showed individually weak and non-significant associations with exacerbations, the three gene score was significant for number of exacerbations.We demonstrate the potential of this transcriptomic score as a predictive biomarker for asthma severity-related outcomes. Further research investigating these genes and their interaction with other CC16-associated immune pathways could provide insight into therapeutic targets.

Abstract Primary ciliary dyskinesia (PCD) results from mutations in over 50 genes that affect motile cilia (PMID: 29905515). PCD incidence is at least 1:7600 (PMID: 35051411). Asthma may be a PCD comorbidity (PMID: 36431268); and antigen stasis on the airway surface in PCD may predispose to asthma (PMID: 3831866). Methods. We analyzed the association between PCD and asthma in children ≤ 18 years old in two large electronic health record (EHR)-based databases: the Indiana Network for Patient Care Research (INPCR) cohort of 20 million EHRs and, in a validation cohort, TriNetX, with 112 million EHRs. We needed to address two issues. First, there is no ICD 10 code for PCD. Secondly, clinicians may confuse asthma and PCD in assessment. Therefore, we analyzed two diagnoses that, together, are unlikely to occur together in the absence of PCD: bronchiectasis (ICD10:J47) and situs inversus totalis (Q89.3) together (B-SIT). We asked whether subjects with B-SIT also had an asthma diagnosis ( ICD10 J45). We matched cases to controls, 1:3 in INPCR; and 1:1 in TriNetX, controlling for age, sex and race. We used conditional logistic regression adjusted for the matching strategy. For INPCR, we performed a conditional exact test: numbers were too small for adjusted models. This study was approved by the Indiana University and Case Western Reserve University IRBs. Results. In the initial INPCR study, 100% of children with B-SIT had an asthma diagnosis (p < 0.001). In the TriNetX validation cohort (Matched 1:1, n = 115 each), 84 children with B-SIT had asthma and 31 did not; in the controls, 12 had asthma and 103 did not (p = 2.2 x 10-16). The adjusted OR for B-SIT patients having asthma was 22.26 (95%CI: 10.80 – 45.91; p <0.001). Discussion. In two large EHR data sets, we found that most children with likely PCD (B-SIT) had a diagnosis of asthma. Local antigen stasis in PCD could contribute to the asthma phenotype in PCD, or perhaps even to asthma among patients heterozygous for PCD genes (PMID: 38457400). Additional studies are needed to understand the immunology, and this study is that it will need to be validated prospectively using airway reactivity testing after drug with-hold. In summary, children with PCD may need evaluation for airway reactivity. Further, providers should be alert to whether there are cardinal features of PCD among any of the children cared for with a diagnosis of asthma.

Abstract Asthma is a heterogeneous disease with variable presentation and characteristics. There is a critical need to identify underlying molecular endotypes of asthma. We performed the largest transcriptomic analysis of 808 bronchial epithelial cell samples across 11 independent cohorts, including 3 cohorts from the Severe Asthma Research Program. Using seven datasets (218 patients with asthma, 148 healthy control subjects) as discovery cohorts, we identified 505 differentially expressed genes, which we validated in the remaining four datasets. Unsupervised clustering using the 505 differentially expressed genes identified four reproducible clusters of patients with asthma across all datasets, corresponding to healthy control subjects, patients with mild/moderate asthma, and patients with severe asthma with significant differences in several clinical markers of severity, including pulmonary function, Type 2 inflammation, fractional exhaled nitric oxide, and maximum bronchodilator reversibility. Importantly, we found the same clusters in pediatric patients using nasal lavage fluid cells, demonstrating the gene signature and clusters are not confounded by age and are conserved in both lower and upper airways. The four asthma clusters may represent a unifying framework for understanding the molecular heterogeneity of asthma. Further study could potentially enable a precision medicine approach of matching therapies with patients with asthma most likely to benefit.

This case-control study uses electronic health record data to assess the association between primary ciliary dyskinesia and asthma in children.

Abstract Asthma is a descriptive label for an obstructive inflammatory disease in the lower airways manifesting with symptoms including breathlessness, cough, difficulty in breathing, and wheezing. From a clinician’s point of view, asthma symptoms can commence at any age, although most patients with asthma—regardless of their age of onset—seem to have had some form of airway problems during childhood. Asthma inception and related pathophysiologic processes are therefore very likely to occur early in life, further evidenced by recent lung physiologic and mechanistic research. Herein, we present state-of-the-art updates on the role of genetics and epigenetics, early viral and bacterial infections, immune response, and pathophysiology, as well as lifestyle and environmental exposures, in asthma across the life course. We conclude that early environmental insults in genetically vulnerable individuals inducing abnormal, pre-asthmatic airway responses are key events in asthma inception, and we highlight disease heterogeneity across ages and the potential shortsightedness of treating all patients with asthma using the same treatments. Although there are no interventions that, at present, can modify long-term outcomes, a precision-medicine approach should be implemented to optimize treatment and tailor follow-up for all patients with asthma.

Abstract Rationale Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide. Our previous studies have identified that nocturnal hypoxemia causes skeletal muscle loss (i.e., sarcopenia) in in vitro models of COPD. Objectives We aimed to extend our preclinical mechanistic findings by analyzing a large sleep registry to determine whether nocturnal hypoxemia is associated with sarcopenia in patients with COPD. Methods Sleep studies from patients with COPD (n = 479) and control subjects without COPD (n = 275) were analyzed. Patients with obstructive sleep apnea, as defined by apnea–hypopnea index ⩾ 5, were excluded. Pectoralis muscle cross-sectional area (PMcsa) was quantified using computed tomography scans performed within 1 year of the sleep study. We defined sarcopenia as less than the lowest 20% residuals for PMcsa of control subjects, which was adjusted for age and body mass index (BMI) and stratified by sex. Youden’s optimal cut-point criteria were used to predict sarcopenia based on mean oxygen saturation during sleep. Additional measures of nocturnal hypoxemia were analyzed. The pectoralis muscle index (PMI) was defined as PMcsa normalized to BMI. Results On average, males with COPD had a 16.6% lower PMI than control males (1.41 ± 0.44 vs. 1.69 ± 0.56 cm2/BMI; P < 0.001), whereas females with COPD had a 9.4% lower PMI than control females (0.96 ± 0.27 vs. 1.06 ± 0.33 cm2/BMI; P < 0.001). Males with COPD with nocturnal hypoxemia had a 9.5% decrease in PMI versus COPD with normal O2 (1.33 ± 0.39 vs. 1.47 ± 0.46 cm2/BMI; P < 0.05) and a 23.6% decrease compared with control subjects (1.33 ± 0.39 vs. 1.74 ± 0.56 cm2/BMI; P < 0.001). Females with COPD with nocturnal hypoxemia had an 11.2% decrease versus COPD with normal O2 (0.87 ± 0.26 vs. 0.98 ± 0.28 cm2/BMI; P < 0.05) and a 17.9% decrease compared with control subjects (0.87 ± 0.26 vs. 1.06 ± 0.33 cm2/BMI; P < 0.001). These findings were largely replicated using multiple measures of nocturnal hypoxemia. Conclusions We defined sarcopenia in the pectoralis muscle using residuals that take into account age, BMI, and sex. We found that patients with COPD have a lower PMI than patients without COPD and that nocturnal hypoxemia was associated with an additional decrease in the PMI of patients with COPD. Additional prospective analyses are needed to determine a protective threshold of oxygen saturation to prevent or reverse sarcopenia due to nocturnal hypoxemia in COPD.