Go to JCI Insight
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Advertising
  • Job board
  • Contact
  • Clinical Research and Public Health
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Gastroenterology
    • Immunology
    • Metabolism
    • Nephrology
    • Neuroscience
    • Oncology
    • Pulmonology
    • Vascular biology
    • All ...
  • Videos
    • Conversations with Giants in Medicine
    • Video Abstracts
  • Reviews
    • View all reviews ...
    • Clinical innovation and scientific progress in GLP-1 medicine (Nov 2025)
    • Pancreatic Cancer (Jul 2025)
    • Complement Biology and Therapeutics (May 2025)
    • Evolving insights into MASLD and MASH pathogenesis and treatment (Apr 2025)
    • Microbiome in Health and Disease (Feb 2025)
    • Substance Use Disorders (Oct 2024)
    • Clonal Hematopoiesis (Oct 2024)
    • View all review series ...
  • Viewpoint
  • Collections
    • In-Press Preview
    • Clinical Research and Public Health
    • Research Letters
    • Letters to the Editor
    • Editorials
    • Commentaries
    • Editor's notes
    • Reviews
    • Viewpoints
    • 100th anniversary
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • Reviews
  • Review series
  • Conversations with Giants in Medicine
  • Video Abstracts
  • In-Press Preview
  • Clinical Research and Public Health
  • Research Letters
  • Letters to the Editor
  • Editorials
  • Commentaries
  • Editor's notes
  • Reviews
  • Viewpoints
  • 100th anniversary
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Advertising
  • Job board
  • Contact

Usage Information

Polymorphism of theophylline metabolism in man.
C A Miller, L B Slusher, E S Vesell
C A Miller, L B Slusher, E S Vesell
View: Text | PDF
Research Article

Polymorphism of theophylline metabolism in man.

  • Text
  • PDF
Abstract

To determine whether genetic mechanisms control large interindividual variations in theophylline elimination in normal uninduced human subjects, and, if so, to test the possibility that these genetic factors are transmitted as a simple Mendelian trait, theophylline was administered to 79 unrelated adults, six sets of monozygotic twins, six sets of dizygotic twins, and six two-generation families. Thereafter, in urine collected from each subject at regular intervals for 48 h, concentrations of theophylline and its three principal metabolites were measured and rate constants of formation of these metabolites calculated. The twin study, designed to determine the relative contributions of genetic and environmental factors to large interindividual variation in theophylline elimination, revealed predominantly genetic control. Values for this genetic component, designated heritability (H1(2)), of interindividual variation in rate constants of metabolite formation were 0.61, 0.84, and 0.95 for 3-methylxanthine, 1-methyluric acid, and 1,3-dimethyluric acid, respectively. H1(2) for the overall theophylline elimination rate constant (kel) was lower (0.34). In the 79 unrelated adults, each distribution curve for rate constants of formation of each theophylline metabolite appeared to be trimodal. By contrast, the distribution curve for the overall theophylline elimination rate constant appeared to be either unimodal or bimodal. The extent of interindividual variation was fourfold for theophylline kel and 6-8-fold for the three principal metabolites. High correlations among the three rate constants in individual subjects suggested their regulation by a single shared factor. In six families carefully selected to be under near basal environmental conditions so that hepatic theophylline metabolism of each family member would be neither markedly induced nor inhibited, phenotypes for theophylline metabolite rate constants were assigned. This assignment of phenotype was made by the position of each family member's rate constant on the three distribution curves that were generated from the 79 unrelated subjects. In each family, pedigree analysis of the three phenotypes for each rate constant was consistent with their control by two alleles at a single genetic locus and with autosomal codominant transmission. Frequencies of the two alleles at each genetic locus controlling rate constants of formation of theophylline metabolites were similar (p = 0.49, 0.53, and 0.52). In the three families studied with antipyrine (AP) as well as with theophylline, AP k(el) correlated (r approximately 0.7) with each rate constant of theophylline metabolite formation, as well as with theophylline k(el). While these results are compatible with a common regulatory element in the AP and theophylline polymorphisms, other evidence suggests more than a single genetic polymorphism. This additional evidence includes different gene frequencies for the AP (p approximately 0.1) and theophylline (p approximately 0.5) polymorphisms, different genotype assignments in several families for some theophylline metabolites, different distribution curves for theophylline k(el) from those for the three theophylline metabolites in 79 unrelated subjects, and finally low correlations between AP metabolite rate constants and theophylline metabolite rate constants in the three families receiving both drugs.

Authors

C A Miller, L B Slusher, E S Vesell

×

Usage data is cumulative from November 2024 through November 2025.

Usage JCI PMC
Text version 150 7
PDF 62 4
Scanned page 307 1
Citation downloads 75 0
Totals 594 12
Total Views 606
(Click and drag on plot area to zoom in. Click legend items above to toggle)

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

Advertisement

Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

Sign up for email alerts