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Li H, Castro M, Denlinger LC, Erzurum SC, Fahy JV, Gaston B, Israel E, Jarjour NN, Levy BD, Mauger DT, Moore WC, Wenzel SE, Zein J, Bleecker ER, Meyers DA, Chen Y, Li X. Investigations of a combination of atopic status and age of asthma onset identify asthma subphenotypes. J Asthma 2023; 60:1843-1852. [PMID: 36940238 PMCID: PMC10528448 DOI: 10.1080/02770903.2023.2193634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 02/27/2023] [Accepted: 03/16/2023] [Indexed: 03/21/2023]
Abstract
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.
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Affiliation(s)
- Huashi Li
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, Arizona, USA
| | - Mario Castro
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Kansas School of Medicine, Kansas City, Kansas, USA
| | - Loren C. Denlinger
- Department of Medicine, University of Wisconsin School of Medicine & Public Health, Madison, Wisconsin, USA
| | - Serpil C. Erzurum
- Lerner Research Institute and the Respiratory Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - John V. Fahy
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of California at San Francisco, San Francisco, California, USA
| | - Benjamin Gaston
- Wells Center for Pediatric Research and Riley Hospital for Children, Indiana University, Indianapolis, Indiana, USA
| | - Elliot Israel
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Nizar N. Jarjour
- Department of Medicine, University of Wisconsin School of Medicine & Public Health, Madison, Wisconsin, USA
| | - Bruce D. Levy
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - David T Mauger
- Department of Public Health Sciences, College of Medicine, Penn State University, Hershey, Pennsylvania, USA
| | - Wendy C. Moore
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Sally E. Wenzel
- Department of Environmental and Occupational Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Joe Zein
- Lerner Research Institute and the Respiratory Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Eugene R. Bleecker
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, Arizona, USA
| | - Deborah A. Meyers
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, Arizona, USA
| | - Yin Chen
- Department of Pharmacology and Toxicology, School of Pharmacy, University of Arizona, Tucson, Arizona, USA
| | - Xingnan Li
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, Arizona, USA
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Li X, Li H, Christenson SA, Castro M, Denlinger LC, Erzurum SC, Fahy JV, Gaston BM, Israel E, Jarjour NN, Levy BD, Mauger DT, Moore WC, Zein J, Kaminski N, Wenzel SE, Woodruff PG, Bleecker ER, Meyers DA. Genetic analyses of chr11p15.5 region identify MUC5AC- MUC5B associated with asthma-related phenotypes. J Asthma 2023; 60:1824-1835. [PMID: 36946148 PMCID: PMC10524756 DOI: 10.1080/02770903.2023.2193631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 03/16/2023] [Indexed: 03/23/2023]
Abstract
OBJECTIVE Genome-wide association studies (GWASs) have identified single nucleotide polymorphisms (SNPs) in chr11p15.5 region associated with asthma and idiopathic interstitial pneumonias (IIPs). We sought to identify functional genes for asthma by combining SNPs and mRNA expression in bronchial epithelial cells (BEC) in the Severe Asthma Research Program (SARP). METHODS Correlation analyses of mRNA expression of six candidate genes (AP2A2, MUC6, MUC2, MUC5AC, MUC5B, and TOLLIP) and asthma phenotypes were performed in the longitudinal cohort (n = 156) with RNAseq in BEC, and replicated in the cross-sectional cohort (n = 155). eQTL (n = 114) and genetic association analysis of asthma severity (426 severe vs. 531 non-severe asthma) were performed, and compared with previously published GWASs of IIPs and asthma. RESULTS Higher expression of AP2A2 and MUC5AC and lower expression of MUC5B in BEC were correlated with asthma, asthma exacerbations, and T2 biomarkers (P < 0.01). SNPs associated with asthma and IIPs in previous GWASs were eQTL SNPs for MUC5AC, MUC5B, or TOLLIP, however, they were not in strong linkage disequilibrium. The risk alleles for asthma or protective alleles for IIPs were associated with higher expression of MUC5AC and lower expression of MUC5B. rs11603634, rs12788104, and rs28415845 associated with moderate-to-severe asthma or adult onset asthma in previous GWASs were not associated with asthma severity (P > 0.8). CONCLUSIONS SNPs associated with asthma in chr11p15.5 region are not associated with asthma severity neither with IIPs. Higher expression of MUC5AC and lower expression of MUC5B are risk for asthma but protective for IIPs.
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Affiliation(s)
- Xingnan Li
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, Arizona, USA
| | - Huashi Li
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, Arizona, USA
| | - Stephanie A. Christenson
- Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of California at San Francisco, San Francisco, California, USA
| | - Mario Castro
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Kansas School of Medicine, Kansas City, Kansas, USA
| | - Loren C. Denlinger
- Department of Medicine, University of Wisconsin School of Medicine & Public Health, Madison, Wisconsin, USA
| | - Serpil C. Erzurum
- Lerner Research Institute and the Respiratory Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - John V. Fahy
- Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of California at San Francisco, San Francisco, California, USA
| | - Benjamin M. Gaston
- Wells Center for Pediatric Research and Riley Hospital for Children, Indiana University, Indianapolis, Indiana, USA
| | - Elliot Israel
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Nizar N. Jarjour
- Department of Medicine, University of Wisconsin School of Medicine & Public Health, Madison, Wisconsin, USA
| | - Bruce D. Levy
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - David T Mauger
- Department of Public Health Sciences, College of Medicine, Penn State University, Hershey, Pennsylvania, USA
| | - Wendy C. Moore
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Joe Zein
- Lerner Research Institute and the Respiratory Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Naftali Kaminski
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Sally E. Wenzel
- Department of Environmental and Occupational Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Prescott G. Woodruff
- Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of California at San Francisco, San Francisco, California, USA
| | - Eugene R. Bleecker
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, Arizona, USA
| | - Deborah A. Meyers
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, Arizona, USA
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