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

NAT2 Nanopore isoniazid pharmacogenomics targeted sequencing tuberculosis

Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
10 Sep 2023
Historique:
pubmed: 21 9 2023
medline: 21 9 2023
entrez: 21 9 2023
Statut: epublish

Résumé

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. To develop a Nanopore sequencing panel and validate its performance in active TB patients to personalize treatment dosing. 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. 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 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.

Identifiants

pubmed: 37732197
doi: 10.1101/2023.09.08.23295248
pmc: PMC10508808
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Arthritis Research UK
ID : CC2112
Pays : United Kingdom
Organisme : NIAID NIH HHS
ID : R21 AI172182
Pays : United States

Déclaration de conflit d'intérêts

Conflicts of Interest The authors declare no conflict of interest.

Auteurs

Renu Verma (R)

Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, California, USA.
Institute of Bioinformatics, International Tech Park, Bangalore, India.
Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India.

Kesia Esther da Silva (KE)

Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, California, USA.

Neesha Rockwood (N)

Center for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine and Dept. Medicine, University of Cape Town, Observatory 7925, South Africa.
Department of Infectious Diseases, Imperial College, London, W12 0NN, United Kingdom.
Department of Medical Microbiology and Immunology, Faculty of Medicine, University of Colombo, Sri Lanka.

Roeland E Wasmann (RE)

Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa.

Nombuso Yende (N)

Department of Pathology and Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory 7925, South Africa.

Taeksun Song (T)

Department of Pathology and Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory 7925, South Africa.

Eugene Kim (E)

Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, California, USA.

Paolo Denti (P)

Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa.

Robert J Wilkinson (RJ)

Center for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine and Dept. Medicine, University of Cape Town, Observatory 7925, South Africa.
Department of Infectious Diseases, Imperial College, London, W12 0NN, United Kingdom.
Francis Crick Institute, London NW1 1AT, United Kingdom.

Jason R Andrews (JR)

Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, California, USA.

Classifications MeSH