Utility of the 13C‐pantoprazole breath test as a CYP2C19 phenotyping probe for children. Issue 5 (14th February 2022)

• Record Type: Journal Article
• Authors: Feldman, Keith; Kearns, Gregory L.; Pearce, Robin E.; Abdel‐Rahman, Susan M.; Steven Leeder, James; Friesen, Alec; Staggs, Vincent S.; Gaedigk, Andrea; Weigel, Jaylene; Shakhnovich, Valentina
• Is Part Of: Clinical and translational science. Volume 15:Issue 5(2022)
• Page Start: 1155
• Page End: 1166
• Publication Date: 2022-02-14
• Subjects: Medicine, Experimental -- Periodicals; Medical innovations -- Periodicals; 616.027
• DOI: 10.1111/cts.13232
• Languages: English
• ISSNs: 1752-8054

Abstract

Abstract: The 13 C‐pantoprazole breath test (PAN‐BT) is a safe, noninvasive, in vivo CYP2C19 phenotyping probe for adults. Our objective was to evaluate PAN‐BT performance in children, with a focus on discriminating individuals who, according to guidelines from the Clinical Pharmacology Implementation Consortium (CPIC), would benefit from starting dose escalation versus reduction for proton pump inhibitors (PPIs). Children ( n = 65, 6–17 years) genotyped for CYP2C19 variants *2, *3, *4, and *17 received a single oral dose of 13 C‐pantoprazole. Plasma concentrations of pantoprazole and its metabolites, and changes in exhaled 13 CO2 (termed delta‐over‐baseline or DOB), were measured 10 times over 8 h using high performance liquid chromatography with ultraviolet detection and spectrophotometry, respectively. Pharmacokinetic parameters of interest were generated and DOB features derived using feature engineering for the first 180 min postadministration. DOB features, age, sex, and obesity status were used to run bootstrap analysis at each timepoint (Ti ) independently. For each iteration, stratified samples were drawn based on genotype prevalence in the original cohort. A random forest was trained, and predictive performance of PAN‐BT was evaluated. Strong discriminating ability for CYP2C19 intermediate versus normal/rapid metabolizer phenotype was noted at DOBT30 min (mean sensitivity: 0.522, specificity: 0.784), with consistent model outperformance over a random or a stratified classifier approach at each timepoint ( p < 0.001). With additional refinement and investigation, the test could become a useful and convenient dosing tool in clinic to help identify children who would benefit most from PPI dose escalation versus dose reduction, in accordance with CPIC guidelines.