Publications by authors named "Joe G Zein"

Background: α-antitrypsin deficiency is caused by rare pathogenic variants in SERPINA1, the strongest genetic risk factor for COPD. Few studies have evaluated the effects of SERPINA1 variation on asthma severity accounting for critical gene-by-environment interactions with smoking.

Objective: To characterize the influence of SERPINA1 variation on asthma severity.

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Background: Current asthma guidelines, including those of the European Respiratory Society (ERS) and American Thoracic Society (ATS), suboptimally predict asthma remission, disease severity, and health-care utilisation. We aimed to establish a novel approach to assess asthma severity based on asthma health-care burden data.

Methods: We analysed prospectively collected data from the Severe Asthma Research Program III (SARP III; USA) and the European Unbiased Biomarkers for the Prediction of Respiratory Disease Outcomes (U-BIOPRED; 11 European countries) to calculate a composite burden score based on asthma exacerbations and health-care utilisation, which was modified to include the use of short-acting beta agonists (SABAs) to reflect asthma symptom burden.

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Article Synopsis
  • Asthma is linked to mitochondrial dysfunction, indicated by lower levels of mitochondrial DNA copy number (mtDNA-CN), which may serve as a proxy for mitochondrial health.* -
  • A study using data from the UK Biobank and the Severe Asthma Research Program found that individuals with asthma consistently have lower mtDNA-CN levels compared to those without asthma, across all age groups.* -
  • The research suggests that lower mtDNA-CN is associated with an increased risk of asthma exacerbations and is influenced by genetic factors rather than inflammation.*
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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.

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Article Synopsis
  • The study aimed to classify asthma patients into different subphenotypes to create personalized treatment strategies, leveraging machine learning and real-world data from the Cleveland Clinic.
  • Researchers analyzed electronic health records of 13,498 asthma patients and identified five distinct clusters based on factors like age, BMI, lung function, and medication use.
  • The five identified asthma subphenotypes include a young, nonsevere group, an obese population, patients with normal lung function, and clusters with varying levels of lung function and severity, paving the way for tailored management approaches.
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Article Synopsis
  • - The study explores the connection between mitochondrial dysfunction, indicated by mitochondrial DNA copy number (mtDNA-CN), and asthma diagnosis, severity, and exacerbations.
  • - Results show that asthmatics have lower mtDNA-CN compared to non-asthmatics, but severity levels in asthma do not influence mtDNA-CN.
  • - Higher mtDNA-CN is linked to a reduced risk of severe asthma exacerbations, emphasizing the potential importance of mitochondrial function in asthma management.
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Children with inherited and/or acquired respiratory disorders often arrive in adolescence and adulthood with diminished lung function that might have been detected and prevented had better mechanisms been available to identify and to assess progression of disease. Fortunately, advances in genetic assessments, low-cost diagnostics, and minimally- invasive novel biomarkers are being developed to detect and to treat respiratory diseases before they give rise to loss of life or lung function. This paper summarizes the Developing Biomarkers for Pulmonary Health sessions of the National Heart, Lung, and Blood Institute- sponsored 2021 Defining and Promoting Pediatric Pulmonary Health workshop.

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Asthma, a common airway disease, results in a significant burden to both patients and society worldwide. Yet, despite global political commitment backed by the United Nations, progress to reduce the burden of asthma remains inadequate. This is particularly true in low-income countries.

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Rationale: Bronchiectasis is common among those with heavy smoking histories, but risk factors for bronchiectasis, including alpha-1 antitrypsin deficiency, and its implications for COPD severity are uncharacterized in such individuals.

Objectives: To characterize the impact of bronchiectasis on COPD and explore alpha-1antitrypsin as a risk factor for bronchiectasis.

Methods: SubPopulations and InteRmediate Outcome Measures In COPD Study (SPIROMICS) participants (N=914; ages 40-80 years; ≥20-pack-year smoking) had high-resolution computed tomography (CT) scans interpreted visually for bronchiectasis, based on airway dilation without fibrosis or cicatrization.

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Asthma is an inflammatory disease of the airways characterized by eosinophil recruitment, eosinophil peroxidase release, and protein oxidation through bromination, which following tissue remodeling results in excretion of 3-bromotyrosine. Predicting exacerbations and reducing their frequency is critical for the treatment of severe asthma. In this study, we aimed to investigate whether urinary total conjugated bromotyrosine can discriminate asthma severity and predict asthma exacerbations.

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Objectives: Readmissions after hospitalizations for acute exacerbation of chronic obstructive pulmonary disease (COPD) have a high socioeconomic burden. Comorbidities such as diabetes increase the risk for hospital readmissions, but the impact of diabetes on hospital outcomes remains unknown. The aim of this study was to evaluate the effect of complicated or uncomplicated diabetes on outcomes and health care costs related to admissions and readmissions in patients 35 years and older with an index admission for COPD.

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The role of obesity-associated insulin resistance (IR) in airflow limitation in asthma is uncertain. Using data in the Severe Asthma Research Program 3 (SARP-3), we evaluated relationships between homeostatic measure of IR (HOMA-IR), lung function (cross-sectional and longitudinal analyses), and treatment responses to bronchodilators and corticosteroids. HOMA-IR values were categorized as without (<3.

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Background: In addition to their proinflammatory effect, eosinophils have antiviral properties. Similarly, inhaled corticosteroids (ICS) were found to suppress coronavirus replication in vitro and were associated with improved outcomes in coronavirus disease 2019 (COVID-19). However, the interplay between the two and its effect on COVID-19 needs further evaluation.

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Rationale: Extensive interdependencies exist between dietary intake, metabolic dysregulation, and asthma; however, the dietary pattern in adults with asthma remains unknown.

Objectives: To evaluate the association between dietary patterns and asthma ER visits and explore the effect of the interaction between race and diet on asthma.

Methods: Using NHANES data, we compared dietary patterns between adults with asthma with and without asthma-related emergency room (ER) visits in the previous year, and between subjects of different races.

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Background: Sites of entry for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are highly expressed in nasal epithelial cells; however, little is known about the impact of intranasal corticosteroids (INCS) on coronavirus disease 2019 (COVID-19)-related outcomes.

Objective: To determine the association between baseline INCS use and COVID-19-related outcomes.

Methods: Using the Cleveland Clinic COVID-19 Research Registry, we performed a propensity score matching for treatment with INCS before SARS-CoV-2 infection (April 1, 2020, to March 31, 2021).

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Androgens are potentially beneficial in asthma, but (androgen receptor) has not been studied in human airways. To measure whether and its ligands are associated with human asthma outcomes. We compared the effects of expression on lung function, symptom scores, and fractional exhaled nitric oxide (Fe) in adults enrolled in SARP (Severe Asthma Research Program).

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Alcohol use disorder (AUD) is associated with significant direct morbidity and mortality. The impact of alcohol on chronic asthma and obstructive lung disease is unknown. AUD treatment may represent a potential target to improve healthcare utilization and healthcare costs in this patient population.

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Background: Asthma exacerbations result in significant health and economic burden, but are difficult to predict.

Research Question: Can machine learning (ML) models with large-scale outpatient data predict asthma exacerbations?

Study Design And Methods: We analyzed data extracted from electronic health records (EHRs) of asthma patients treated at the Cleveland Clinic from 2010 through 2018. Demographic information, comorbidities, laboratory values, and asthma medications were included as covariates.

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Background: Asthma is a prevalent disease with a high economic cost. More than 50% of its direct cost relates to asthma hospitalizations. Diabetes mellitus (DM) is a significant comorbidity in asthmatic patients, yet its impact on asthma-related hospitalizations is unknown.

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Background And Objective: COPD is the third most common cause of death worldwide and fourth most common in the United States. In hospitalized patients with COPD, mortality, morbidity and healthcare resource utilization are high. Skeletal muscle loss is frequent in patients with COPD.

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