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A Nanopore sequencing-based pharmacogenomic panel to personalize tuberculosis drug dosing

RATIONALE: Standardized dosing of anti-tubercular (TB) drugs leads to variable plasma drug levels, which are associated with adverse drug reactions, delayed treatment response, and relapse. Mutations in genes affecting drug metabolism explain considerable interindividual pharmacokinetic variability;...

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Autores principales: Verma, Renu, da Silva, Kesia Esther, Rockwood, Neesha, Wasmann, Roeland E., Yende, Nombuso, Song, Taeksun, Kim, Eugene, Denti, Paolo, Wilkinson, Robert. J., Andrews, Jason R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508808/
https://www.ncbi.nlm.nih.gov/pubmed/37732197
http://dx.doi.org/10.1101/2023.09.08.23295248
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author Verma, Renu
da Silva, Kesia Esther
Rockwood, Neesha
Wasmann, Roeland E.
Yende, Nombuso
Song, Taeksun
Kim, Eugene
Denti, Paolo
Wilkinson, Robert. J.
Andrews, Jason R.
author_facet Verma, Renu
da Silva, Kesia Esther
Rockwood, Neesha
Wasmann, Roeland E.
Yende, Nombuso
Song, Taeksun
Kim, Eugene
Denti, Paolo
Wilkinson, Robert. J.
Andrews, Jason R.
author_sort Verma, Renu
collection PubMed
description RATIONALE: Standardized dosing of anti-tubercular (TB) drugs leads to variable plasma drug levels, which are associated with adverse drug reactions, delayed treatment response, and relapse. Mutations in genes affecting drug metabolism explain considerable interindividual pharmacokinetic variability; however, pharmacogenomic (PGx) assays that predict metabolism of anti-TB drugs have been lacking. OBJECTIVES: To develop a Nanopore sequencing panel and validate its performance in active TB patients to personalize treatment dosing. MEASUREMENTS AND MAIN RESULTS: We developed a Nanopore sequencing panel targeting 15 single nucleotide polymorphisms (SNP) in 5 genes affecting the metabolism of isoniazid (INH), rifampin (RIF), linezolid and bedaquiline. For validation, we sequenced DNA samples (n=48) from the 1000 genomes project and compared variant calling accuracy with Illumina genome sequencing. We then sequenced DNA samples from patients with active TB (n=100) from South Africa on a MinION Mk1C and evaluated the relationship between genotypes and pharmacokinetic parameters for INH and RIF. RESULTS: The PGx panel achieved 100% concordance with Illumina sequencing in variant identification for the samples from the 1000 Genomes Project. In the clinical cohort, coverage was >100x for 1498/1500 (99.8%) amplicons across the 100 samples. One third (33%) of participants were identified as slow, 47% were intermediate and 20% were rapid isoniazid acetylators. Isoniazid clearance was significantly impacted by acetylator status (p<0.0001) with median (IQR) clearances of 11.2 L/h (9.3–13.4), 27.2 L/h (22.0–31.7), and 45.1 L/h (34.1–51.1) in slow, intermediate, and rapid acetylators. Rifampin clearance was 17.3% (2.50–29.9) lower in individuals with homozygous AADAC rs1803155 G>A substitutions (p=0.0015). CONCLUSION: Targeted sequencing can enable detection of polymorphisms influencing TB drug metabolism on a low-cost, portable instrument to personalize dosing for TB treatment or prevention.
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spelling pubmed-105088082023-09-20 A Nanopore sequencing-based pharmacogenomic panel to personalize tuberculosis drug dosing Verma, Renu da Silva, Kesia Esther Rockwood, Neesha Wasmann, Roeland E. Yende, Nombuso Song, Taeksun Kim, Eugene Denti, Paolo Wilkinson, Robert. J. Andrews, Jason R. medRxiv Article RATIONALE: Standardized dosing of anti-tubercular (TB) drugs leads to variable plasma drug levels, which are associated with adverse drug reactions, delayed treatment response, and relapse. Mutations in genes affecting drug metabolism explain considerable interindividual pharmacokinetic variability; however, pharmacogenomic (PGx) assays that predict metabolism of anti-TB drugs have been lacking. OBJECTIVES: To develop a Nanopore sequencing panel and validate its performance in active TB patients to personalize treatment dosing. MEASUREMENTS AND MAIN RESULTS: We developed a Nanopore sequencing panel targeting 15 single nucleotide polymorphisms (SNP) in 5 genes affecting the metabolism of isoniazid (INH), rifampin (RIF), linezolid and bedaquiline. For validation, we sequenced DNA samples (n=48) from the 1000 genomes project and compared variant calling accuracy with Illumina genome sequencing. We then sequenced DNA samples from patients with active TB (n=100) from South Africa on a MinION Mk1C and evaluated the relationship between genotypes and pharmacokinetic parameters for INH and RIF. RESULTS: The PGx panel achieved 100% concordance with Illumina sequencing in variant identification for the samples from the 1000 Genomes Project. In the clinical cohort, coverage was >100x for 1498/1500 (99.8%) amplicons across the 100 samples. One third (33%) of participants were identified as slow, 47% were intermediate and 20% were rapid isoniazid acetylators. Isoniazid clearance was significantly impacted by acetylator status (p<0.0001) with median (IQR) clearances of 11.2 L/h (9.3–13.4), 27.2 L/h (22.0–31.7), and 45.1 L/h (34.1–51.1) in slow, intermediate, and rapid acetylators. Rifampin clearance was 17.3% (2.50–29.9) lower in individuals with homozygous AADAC rs1803155 G>A substitutions (p=0.0015). CONCLUSION: Targeted sequencing can enable detection of polymorphisms influencing TB drug metabolism on a low-cost, portable instrument to personalize dosing for TB treatment or prevention. Cold Spring Harbor Laboratory 2023-09-10 /pmc/articles/PMC10508808/ /pubmed/37732197 http://dx.doi.org/10.1101/2023.09.08.23295248 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Verma, Renu
da Silva, Kesia Esther
Rockwood, Neesha
Wasmann, Roeland E.
Yende, Nombuso
Song, Taeksun
Kim, Eugene
Denti, Paolo
Wilkinson, Robert. J.
Andrews, Jason R.
A Nanopore sequencing-based pharmacogenomic panel to personalize tuberculosis drug dosing
title A Nanopore sequencing-based pharmacogenomic panel to personalize tuberculosis drug dosing
title_full A Nanopore sequencing-based pharmacogenomic panel to personalize tuberculosis drug dosing
title_fullStr A Nanopore sequencing-based pharmacogenomic panel to personalize tuberculosis drug dosing
title_full_unstemmed A Nanopore sequencing-based pharmacogenomic panel to personalize tuberculosis drug dosing
title_short A Nanopore sequencing-based pharmacogenomic panel to personalize tuberculosis drug dosing
title_sort nanopore sequencing-based pharmacogenomic panel to personalize tuberculosis drug dosing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508808/
https://www.ncbi.nlm.nih.gov/pubmed/37732197
http://dx.doi.org/10.1101/2023.09.08.23295248
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