Publication

HSD3B1 genotype identifies glucocorticoid responsiveness in severe asthma

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Last modified
  • 05/21/2025
Type of Material
Authors
    Joe Zein, Cleveland ClinicBenjamin Gaston, Indiana UniversityPeter Bazeley, Cleveland ClinicMark D. DeBoer, University of VirginiaRobert P. Igo, Jr., Case Western Reserve UniversityEugene R. Bleecker, University of ArizonaDeborah Meyers, University of ArizonaSuzy Comhair, Cleveland ClinicNadzeya V. Marozkina, Case Western Reserve UniversityCalvin Cotton, Case Western Reserve UniversityMona Patel, Cleveland ClinicMohammad Alyamani, Cleveland ClinicWeiling Xu, Cleveland ClinicWilliam W. Busse, University of WisconsinWilliam J. Calhoun, University of Texas Medical BranchVictor Ortega, Wake Forest UniversityGregory A. Hawkins, Wake Forest UniversityMario Castro, University of KansasKian Fan Chung, Imperial College LondonJohn V. Fahy, University of California San FranciscoAnne Fitzpatrick, Emory UniversityElliot Israel, Harvard UniversityNizar N. Jarjour, University of WisconsinBruce Levy, Harvard UniversityDavid T. Mauger, Pennsylvania State UniversityWendy C. Moore, Wake Forest UniversityPatricia Noel, NHLBIStephen P. Peters, Wake Forest UniversityW. Gerald Teague, University of VirginiaSally E. Wenzel, University of PittsburghSerpil C. Erzurum, Cleveland ClinicNima Sharifi, Cleveland Clinic
Language
  • English
Date
  • 2020-01-28
Publisher
  • United States National Academy of Sciences
Publication Version
Copyright Statement
  • © 2020 the Author(s). Published by PNAS.
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 117
Issue
  • 4
Start Page
  • 2187
End Page
  • 2193
Grant/Funding Information
  • We also thank the Harrington Discovery Institute of University Hospitals, Cleveland, for grant support.
  • Supported by a grant from the National Heart, Lung, and Blood Institute Severe Asthma Research Program (U10 HL109250, P01 HL128192, and P01 HL101871 to Rainbow Babies and Children’s Hospital Virginia-Cleveland Consortium, and RO1 HL69170, U10 HL109250, K08 HL133381, P01 HL103453, P01 HL081064, R01CA172382, R01CA190289, R01 CA236780, and a grant from the Prostate Cancer Foundation to the Cleveland Clinic).
Supplemental Material (URL)
Abstract
  • Asthma resistance to glucocorticoid treatment is a major health problem with unclear etiology. Glucocorticoids inhibit adrenal androgen production. However, androgens have potential benefits in asthma. HSD3B1 encodes for 3β-hydroxysteroid dehydrogenase-1 (3β-HSD1), which catalyzes peripheral conversion from adrenal dehydroepiandrosterone (DHEA) to potent androgens and has a germline missense-encoding polymorphism. The adrenal restrictive HSD3B1(1245A) allele limits conversion, whereas the adrenal permissive HSD3B1(1245C) allele increases DHEA metabolism to potent androgens. In the Severe Asthma Research Program (SARP) III cohort, we determined the association between DHEA-sulfate and percentage predicted forced expiratory volume in 1 s (FEV1PP). HSD3B1(1245) genotypes were assessed, and association between adrenal restrictive and adrenal permissive alleles and FEV1PP in patients with (GC) and without (noGC) daily oral glucocorticoid treatment was determined (n = 318). Validation was performed in a second cohort (SARP I&II; n = 184). DHEA-sulfate is associated with FEV1PP and is suppressed with GC treatment. GC patients homozygous for the adrenal restrictive genotype have lower FEV1PP compared with noGC patients (54.3% vs. 75.1%; P < 0.001). In patients with the homozygous adrenal permissive genotype, there was no FEV1PP difference in GC vs. noGC patients (73.4% vs. 78.9%; P = 0.39). Results were independently confirmed: FEV1PP for homozygous adrenal restrictive genotype in GC vs. noGC is 49.8 vs. 63.4 (P < 0.001), and for homozygous adrenal permissive genotype, it is 66.7 vs. 67.7 (P = 0.92). The adrenal restrictive HSD3B1(1245) genotype is associated with GC resistance. This effect appears to be driven by GC suppression of 3β-HSD1 substrate. Our results suggest opportunities for prediction of GC resistance and pharmacologic intervention.
Author Notes
Keywords
Research Categories
  • Biology, Genetics
  • Health Sciences, Epidemiology
  • Biology, Biostatistics
  • Health Sciences, Public Health

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