151. A rapid pharmacogenomic assay to detect NAT2 polymorphisms and guide isoniazid dosing for tuberculosis treatment
- Author
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Julio Croda, Renu Verma, David H. Persing, Rada M. Savic, Flora Martinez Figueira Moreira, Sunita Patil, Devasena Gnanashanmugam, Ellen Wallace, Andrea da Silva Santos, Jason R. Andrews, Marize Teixeira Vitorio, and Nan Zhang
- Subjects
Pulmonary and Respiratory Medicine ,Oncology ,medicine.medical_specialty ,Tuberculosis ,GeneXpert MTB/RIF ,business.industry ,Isoniazid ,Single-nucleotide polymorphism ,Critical Care and Intensive Care Medicine ,medicine.disease ,Tuberculosis diagnosis ,Pharmacokinetics ,Internal medicine ,medicine ,Multiplex ,Dosing ,business ,medicine.drug - Abstract
RationaleStandardized weight-based dose of anti-tubercular drugs contributes to a substantial incidence of toxicities, inadequate treatment response, and relapse, in part due to variable drug levels achieved. Single nucleotide polymorphisms (SNPs) in the N-acetyltransferase-2 (NAT2) gene explain the majority of interindividual pharmacokinetic variability of isoniazid (INH). However, an obstacle to implementing pharmacogenomic-guided dosing is the lack of a point-of-care assay.ObjectivesTo develop and test a NAT2 classification algorithm, validate its performance in predicting isoniazid clearance, and develop a prototype pharmacogenomic assay.MethodsWe trained random forest models to predict NAT2 acetylation genotype from unphased SNP data using a global collection of 8,561 phased genomes. We enrolled 48 pulmonary TB patients, performed sparse pharmacokinetic sampling, and tested the acetylator prediction algorithm accuracy against estimated INH clearance. We then developed a cartridge-based multiplex qPCR assay on the GeneXpert platform and assessed its analytical sensitivity on whole blood samples from healthy individuals.Measurements and Main ResultsWith a 5-SNP model trained on two-thirds of the data (n=5,738), out-of-sample acetylation genotype prediction accuracy on the remaining third (n=2,823) was 100%. Among the 48 TB patients, predicted acetylator types were: 27 (56.2%) slow, 16 (33.3%) intermediate and 5 (10.4%) rapid. INH clearance rates were lowest in predicted slow acetylators (median 19.3 L/hr), moderate in intermediate acetylators (median 41.0 L/hr) and highest in fast acetylators (median 46.7 L/hr). The cartridge-based assay accurately detected all allele patterns directly from 25ul of whole blood.ConclusionsAn automated pharmacogenomic assay on a platform widely used globally for tuberculosis diagnosis could enable personalized dosing of isoniazid.SummaryThis manuscript describes the development and validation of point-of-care multiplex pharmacogenomic assay to guide personalized dosing of isoniazid for treatment or prevention of tuberculosis.
- Published
- 2021
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