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Verma R, da Silva KE, Rockwood N, Wasmann RE, Yende N, Song T, Kim E, Denti P, Wilkinson RJ, Andrews JR. A Nanopore Sequencing-based Pharmacogenomic Panel to Personalize Tuberculosis Drug Dosing. Am J Respir Crit Care Med 2024; 209:1486-1496. [PMID: 38647526 PMCID: PMC11208962 DOI: 10.1164/rccm.202309-1583oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 03/04/2024] [Indexed: 04/25/2024] Open
Abstract
Rationale: Standardized dosing of antitubercular 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 assays that predict metabolism of antitubercular drugs have been lacking. Objectives: We sought to develop a Nanopore sequencing panel and validate its performance in patients with active tuberculosis (TB) to personalize treatment dosing. Methods: We developed a Nanopore sequencing panel targeting 15 SNPs in five genes affecting the metabolism of antitubercular drugs. For validation, we sequenced DNA samples (n = 48) from the 1,000 Genomes Project and compared the variant calling accuracy with that of 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 isoniazid (INH) and rifampin (RIF). Measurements and Main Results: The pharmacogenomic panel achieved 100% concordance with Illumina sequencing in variant identification for the samples from the 1,000 Genomes Project. In the clinical cohort, coverage was more than 100× for 1,498 of 1,500 (99.8%) amplicons across the 100 samples. Thirty-three percent, 47%, and 20% of participants were identified as slow, intermediate, and rapid INH acetylators, respectively. INH clearance was 2.2 times higher among intermediate acetylators and 3.8 times higher among rapid acetylators, compared with slow acetylators (P < 0.0001). RIF clearance was 17.3% (2.50-29.9) lower in individuals with homozygous AADAC rs1803155 G→A substitutions (P = 0.0015). Conclusions: Targeted sequencing can enable the detection of polymorphisms that influence TB drug metabolism on a low-cost, portable instrument to personalize dosing for TB treatment or prevention.
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Affiliation(s)
- Renu Verma
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California
- Manipal Academy of Higher Education, Manipal, India
- Institute of Bioinformatics, International Tech Park, Bangalore, India
| | - Kesia Esther da Silva
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California
| | - Neesha Rockwood
- Wellcome Center for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine and Department Medicine
- Department of Infectious Diseases, Imperial College, London, United Kingdom
- Department of Medical Microbiology and Immunology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka; and
| | - Roeland E. Wasmann
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Nombuso Yende
- Department of Pathology and Institute of Infectious Disease and Molecular Medicine, and
| | - Taeksun Song
- Department of Pathology and Institute of Infectious Disease and Molecular Medicine, and
| | - Eugene Kim
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California
| | - Paolo Denti
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Robert J. Wilkinson
- Wellcome Center for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine and Department Medicine
- Department of Infectious Diseases, Imperial College, London, United Kingdom
- Francis Crick Institute, London, United Kingdom
| | - Jason R. Andrews
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California
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Yunivita V, Gafar F, Santoso P, Chaidir L, Soeroto AY, Meirina TN, Te Brake L, Menzies D, Aarnoutse RE, Ruslami R. Pharmacokinetics and pharmacodynamics of high-dose isoniazid for the treatment of rifampicin- or multidrug-resistant tuberculosis in Indonesia. J Antimicrob Chemother 2024; 79:977-986. [PMID: 38459759 PMCID: PMC11062943 DOI: 10.1093/jac/dkae057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 02/20/2024] [Indexed: 03/10/2024] Open
Abstract
BACKGROUND Pharmacokinetic data on high-dose isoniazid for the treatment of rifampicin-/multidrug-resistant tuberculosis (RR/MDR-TB) are limited. We aimed to describe the pharmacokinetics of high-dose isoniazid, estimate exposure target attainment, identify predictors of exposures, and explore exposure-response relationships in RR/MDR-TB patients. METHODS We performed an observational pharmacokinetic study, with exploratory pharmacokinetic/pharmacodynamic analyses, in Indonesian adults aged 18-65 years treated for pulmonary RR/MDR-TB with standardized regimens containing high-dose isoniazid (10-15 mg/kg/day) for 9-11 months. Intensive pharmacokinetic sampling was performed after ≥2 weeks of treatment. Total plasma drug exposure (AUC0-24) and peak concentration (Cmax) were assessed using non-compartmental analyses. AUC0-24/MIC ratio of 85 and Cmax/MIC ratio of 17.5 were used as exposure targets. Multivariable linear and logistic regression analyses were used to identify predictors of drug exposures and responses, respectively. RESULTS We consecutively enrolled 40 patients (median age 37.5 years). The geometric mean isoniazid AUC0-24 and Cmax were 35.4 h·mg/L and 8.5 mg/L, respectively. Lower AUC0-24 and Cmax values were associated (P < 0.05) with non-slow acetylator phenotype, and lower Cmax values were associated with male sex. Of the 26 patients with MIC data, less than 25% achieved the proposed targets for isoniazid AUC0-24/MIC (n = 6/26) and Cmax/MIC (n = 5/26). Lower isoniazid AUC0-24 values were associated with delayed sputum culture conversion (>2 months of treatment) [adjusted OR 0.18 (95% CI 0.04-0.89)]. CONCLUSIONS Isoniazid exposures below targets were observed in most patients, and certain risk groups for low isoniazid exposures may require dose adjustment. The effect of low isoniazid exposures on delayed culture conversion deserves attention.
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Affiliation(s)
- Vycke Yunivita
- Division of Pharmacology and Therapy, Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
- TB Working Group, Research Center for Care and Control of Infectious Diseases, Universitas Padjadjaran, Bandung, Indonesia
| | - Fajri Gafar
- Division of Pharmacology and Therapy, Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
- Respiratory Epidemiology and Clinical Research Unit, Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, 5252 Boulevard de Maisonneuve Ouest, Office 3D.21, Montreal, Quebec H4A 3S5, Canada
- McGill International TB Centre, McGill University, Montreal, Quebec, Canada
| | - Prayudi Santoso
- Division of Respirology and Critical Care, Department of Internal Medicine, Faculty of Medicine, Universitas Padjadjaran and Hasan Sadikin General Hospital, Bandung, Indonesia
| | - Lidya Chaidir
- TB Working Group, Research Center for Care and Control of Infectious Diseases, Universitas Padjadjaran, Bandung, Indonesia
- Division of Microbiology, Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Arto Y Soeroto
- Division of Respirology and Critical Care, Department of Internal Medicine, Faculty of Medicine, Universitas Padjadjaran and Hasan Sadikin General Hospital, Bandung, Indonesia
| | - Triana N Meirina
- Pharmacokinetic Laboratory, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Lindsey Te Brake
- Department of Pharmacy, Radboud Institute for Medical Innovation, Radboud university medical center, Nijmegen, the Netherlands
| | - Dick Menzies
- Respiratory Epidemiology and Clinical Research Unit, Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, 5252 Boulevard de Maisonneuve Ouest, Office 3D.21, Montreal, Quebec H4A 3S5, Canada
- McGill International TB Centre, McGill University, Montreal, Quebec, Canada
| | - Rob E Aarnoutse
- Department of Pharmacy, Radboud Institute for Medical Innovation, Radboud university medical center, Nijmegen, the Netherlands
| | - Rovina Ruslami
- Division of Pharmacology and Therapy, Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
- TB Working Group, Research Center for Care and Control of Infectious Diseases, Universitas Padjadjaran, Bandung, Indonesia
- McGill International TB Centre, McGill University, Montreal, Quebec, Canada
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Beraldi-Magalhaes F, Parker SL, Sanches C, Garcia LS, Souza Carvalho BK, Costa AA, Fachi MM, de Liz MV, de Souza AB, Safe IP, Pontarolo R, Wallis S, Lipman J, Roberts JA, Cordeiro-Santos M. Is the Pharmacokinetics of First-Line Anti-TB Drugs a Cause of High Mortality Rates in TB Patients Admitted to the ICU? A Non-Compartmental Pharmacokinetic Analysis. Trop Med Infect Dis 2023; 8:312. [PMID: 37368730 DOI: 10.3390/tropicalmed8060312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 05/28/2023] [Accepted: 06/02/2023] [Indexed: 06/29/2023] Open
Abstract
BACKGROUND Patients with tuberculosis (TB) may develop multi-organ failure and require admission to intensive care. In these cases, the mortality rates are as high as 78% and may be caused by suboptimal serum concentrations of first-line TB drugs. This study aims to compare the pharmacokinetics of oral rifampin, isoniazid, pyrazinamide and ethambutol patients in intensive care units (ICU) to outpatients and to evaluate drug serum concentrations as a potential cause of mortality. METHODS A prospective pharmacokinetic (PK) study was performed in Amazonas State, Brazil. The primary PK parameters of outpatients who achieved clinical and microbiological cure were used as a comparative target in a non-compartmental analysis. RESULTS Thirteen ICU and twenty outpatients were recruited. The clearance and volume of distribution were lower for rifampin, isoniazid, pyrazinamide and ethambutol. ICU thirty-day mortality was 77% versus a cure rate of 89% in outpatients. CONCLUSIONS ICU patients had a lower clearance and volume of distribution for rifampin, isoniazid, pyrazinamide and ethambutol compared to the outpatient group. These may reflect changes to organ function, impeded absorption and distribution to the site of infection in ICU patients and have the potential to impact clinical outcomes.
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Affiliation(s)
- Francisco Beraldi-Magalhaes
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus 69040-000, Brazil
- Fundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus 69040-000, Brazil
- Secretaria de Estado da Saúde do Paraná, Curitiba 80010-130, Brazil
- School of Medicine, Faculdades Pequeno Príncipe, Curitiba 80230-020, Brazil
| | - Suzanne L Parker
- UQ Centre for Clinical Research, The University of Queensland, Brisbane, QLD 4029, Australia
| | - Cristina Sanches
- Department of Pharmacy, Campus Centro-Oeste Dona Lindu, Universidade Federal de São João del-Rei, Divinopolis 35501-296, Brazil
| | - Leandro Sousa Garcia
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus 69040-000, Brazil
- Fundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus 69040-000, Brazil
| | - Brenda Karoline Souza Carvalho
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus 69040-000, Brazil
- Fundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus 69040-000, Brazil
| | - Amanda Araujo Costa
- Fundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus 69040-000, Brazil
| | - Mariana Millan Fachi
- Department of Pharmacy, Campus Jardim Botânico, Universidade Federal do Paraná, Curitiba 80210-170, Brazil
| | - Marcus Vinicius de Liz
- Department of Chemistry & Biology, Campus Curitiba, Universidade Tecnológica Federal do Paraná, Curitiba 81280-340, Brazil
| | - Alexandra Brito de Souza
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus 69040-000, Brazil
- Fundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus 69040-000, Brazil
| | - Izabella Picinin Safe
- Fundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus 69040-000, Brazil
| | - Roberto Pontarolo
- Department of Pharmacy, Campus Jardim Botânico, Universidade Federal do Paraná, Curitiba 80210-170, Brazil
| | - Steven Wallis
- UQ Centre for Clinical Research, The University of Queensland, Brisbane, QLD 4029, Australia
| | - Jeffrey Lipman
- UQ Centre for Clinical Research, The University of Queensland, Brisbane, QLD 4029, Australia
- Department of Intensive Care Medicine, Royal Brisbane and Women's Hospital, Brisbane, QLD 4029, Australia
- Division of Anaesthesiology Critical Care Emergency and Pain Medicine, Nîmes University Hospital, University of Montpellier, 30900 Nimes, France
| | - Jason A Roberts
- UQ Centre for Clinical Research, The University of Queensland, Brisbane, QLD 4029, Australia
- Department of Intensive Care Medicine, Royal Brisbane and Women's Hospital, Brisbane, QLD 4029, Australia
- Division of Anaesthesiology Critical Care Emergency and Pain Medicine, Nîmes University Hospital, University of Montpellier, 30900 Nimes, France
- Department of Pharmacy, Royal Brisbane and Women's Hospital, Brisbane, QLD 4029, Australia
| | - Marcelo Cordeiro-Santos
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus 69040-000, Brazil
- Fundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus 69040-000, Brazil
- School of Medicine, Universidade Nilton Lins, Manaus 69058-040, Brazil
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Liu Y, Moodley M, Pasipanodya JG, Gumbo T. Determining the Delamanid Pharmacokinetics/Pharmacodynamics Susceptibility Breakpoint Using Monte Carlo Experiments. Antimicrob Agents Chemother 2023; 67:e0140122. [PMID: 36877034 PMCID: PMC10112185 DOI: 10.1128/aac.01401-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 01/29/2023] [Indexed: 03/07/2023] Open
Abstract
Antimicrobial susceptibility testing, based on clinical breakpoints that incorporate pharmacokinetics/pharmacodynamics (PK/PD) and clinical outcomes, is becoming a new standard in guiding individual patient therapy as well as for drug resistance surveillance. However, for most antituberculosis drugs, breakpoints are instead defined by the epidemiological cutoff values of the MIC of phenotypically wild-type strains irrespective of PK/PD or dose. In this study, we determined the PK/PD breakpoint for delamanid by estimating the probability of target attainment for the approved dose administered at 100 mg twice daily using Monte Carlo experiments. We used the PK/PD targets (0- to 24-h area under the concentration-time curve to MIC) identified in a murine chronic tuberculosis model, hollow fiber system model of tuberculosis, early bactericidal activity studies of patients with drug-susceptible tuberculosis, and population pharmacokinetics in patients with tuberculosis. At the MIC of 0.016 mg/L, determined using Middlebrook 7H11 agar, the probability of target attainment was 100% in the 10,000 simulated subjects. The probability of target attainment fell to 25%, 40%, and 68% for PK/PD targets derived from the mouse model, the hollow fiber system model of tuberculosis, and patients, respectively, at the MIC of 0.031 mg/L. This indicates that an MIC of 0.016 mg/L is the delamanid PK/PD breakpoint for delamanid at 100 mg twice daily. Our study demonstrated that it is feasible to use PK/PD approaches to define a breakpoint for an antituberculosis drug.
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Affiliation(s)
- Yongge Liu
- Otsuka Pharmaceutical Development & Commercialization, Inc., Rockville, Maryland, USA
| | | | - Jotam G. Pasipanodya
- Quantitative Preclinical & Clinical Sciences Department, Praedicare Inc., Dallas, Texas, USA
| | - Tawanda Gumbo
- Quantitative Preclinical & Clinical Sciences Department, Praedicare Inc., Dallas, Texas, USA
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Li J, Cai X, Chen Y, Wang C, Jiao Z. Parametric population pharmacokinetics of isoniazid: a systematic review. Expert Rev Clin Pharmacol 2023; 16:467-489. [PMID: 36971782 DOI: 10.1080/17512433.2023.2196401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Abstract
INTRODUCTION Isoniazid (INH) plays an important role in prevention and treatment of tuberculosis (TB). However, large pharmacokinetic (PK) variations are observed in patients receiving standard INH dosages. Considering the influence of PK variations on INH efficacy or adverse reactions, we reviewed the population PK studies of INH and explored significant covariates that influence INH PK. METHODS The PubMed and Embase databases were systematically searched from their inception to 30 January 2023. PPK studies on INH using a parametric nonlinear mixed-effect approach were included in this review. The characteristics and identified significant covariates of the included studies were summarized. RESULTS Twenty-one studies conducted in adults, and seven in pediatrics were included. A two-compartment model with first-order absorption and elimination was the frequently used structural model for INH. NAT2 genotype, body size, and age were identified as significant covariates affecting INH PK variation. The median clearance (CL) value in the fast metabolizers was 2.55-fold higher than that in the slow metabolizers. Infants and children had higher CL per weight values than adults with the same metabolic phenotype. In pediatric patients, CL value increased with postnatal age. CONCLUSIONS Compared with slow metabolizers, the daily dose of INH should be increased by 200-600 mg in fast metabolizers. To achieve effective treatment, pediatric patients need a higher dose per kilogram than adults. Further PPK studies of anti-tuberculosis drugs are needed to comprehensively understand the covariates that affect their PK characteristics and to achieve accurate dose adjustments.
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Emergence of phenotypic and genotypic antimicrobial resistance in Mycobacterium tuberculosis. Sci Rep 2022; 12:21429. [PMID: 36504241 PMCID: PMC9742156 DOI: 10.1038/s41598-022-25827-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 12/05/2022] [Indexed: 12/14/2022] Open
Abstract
Concentration dependency of phenotypic and genotypic isoniazid-rifampicin resistance emergence was investigated to obtain a mechanistic understanding on how anti-mycobacterial drugs facilitate the emergence of bacterial populations that survive throughout treatment. Using static kill curve experiments, observing two evolution cycles, it was demonstrated that rifampicin resistance was the result of non-specific mechanisms and not associated with accumulation of drug resistance encoding SNPs. Whereas, part of isoniazid resistance could be accounted for by accumulation of specific SNPs, which was concentration dependent. Using a Hollow Fibre Infection Model it was demonstrated that emergence of resistance did not occur at concentration-time profiles mimicking the granuloma. This study showed that disentangling and quantifying concentration dependent emergence of resistance provides an improved rational for drug and dose selection although further work to understand the underlying mechanisms is needed to improve the drug development pipeline.
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Ekqvist D, Bornefall A, Augustinsson D, Sönnerbrandt M, Nordvall MJ, Fredrikson M, Carlsson B, Sandstedt M, Simonsson USH, Alffenaar JWC, Paues J, Niward K. Safety and pharmacokinetics-pharmacodynamics of a shorter tuberculosis treatment with high-dose pyrazinamide and rifampicin: a study protocol of a phase II clinical trial (HighShort-RP). BMJ Open 2022; 12:e054788. [PMID: 35273049 PMCID: PMC8915351 DOI: 10.1136/bmjopen-2021-054788] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
INTRODUCTION Increased dosing of rifampicin and pyrazinamide seems a viable strategy to shorten treatment and prevent relapse of drug-susceptible tuberculosis (TB), but safety and efficacy remains to be confirmed. This clinical trial aims to explore safety and pharmacokinetics-pharmacodynamics of a high-dose pyrazinamide-rifampicin regimen. METHODS AND ANALYSIS Adult patients with pulmonary TB admitted to six hospitals in Sweden and subjected to receive first-line treatment are included. Patients are randomised (1:3) to either 6-month standardised TB treatment or a 4-month regimen based on high-dose pyrazinamide (40 mg/kg) and rifampicin (35 mg/kg) along with standard doses of isoniazid and ethambutol. Plasma samples for measurement of drug exposure determined by liquid chromatography tandem-mass spectrometry are obtained at 0, 1, 2, 4, 6, 8, 12 and 24 hours, at day 1 and 14. Maximal drug concentration (Cmax) and area under the concentration-time curve (AUC0-24h) are estimated by non-compartmental analysis. Conditions for early model-informed precision dosing of high-dose pyrazinamide-rifampicin are pharmacometrically explored. Adverse drug effects are monitored throughout the study and graded according to Common Terminology Criteria for Adverse Events V.5.0. Early bactericidal activity is assessed by time to positivity in BACTEC MGIT 960 of induced sputum collected at day 0, 5, 8, 15 and week 8. Minimum inhibitory concentrations of first-line drugs are determined using broth microdilution. Disease severity is assessed with X-ray grading and a validated clinical scoring tool (TBscore II). Clinical outcome is registered according to WHO definitions (2020) in addition to occurrence of relapse after end of treatment. Primary endpoint is pyrazinamide AUC0-24h and main secondary endpoint is safety. ETHICS AND DISSEMINATION The study is approved by the Swedish Ethical Review Authority and the Swedish Medical Products Agency. Informed written consent is collected before study enrolment. The study results will be submitted to a peer-reviewed journal. TRIAL REGISTRATION NUMBER NCT04694586.
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Affiliation(s)
- David Ekqvist
- Department of Infectious Diseases, Region Östergötland, Linköping University, Linköping, Sweden
| | - Anna Bornefall
- Department of Infectious Diseases, Region Östergötland, Linköping, Sweden
| | | | | | - Michaela Jonsson Nordvall
- Department of Clinical Microbiology, and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | | | - Björn Carlsson
- Department of Clinical Pharmacology, and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Mårten Sandstedt
- Department of Radiology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | | | - Jan-Willem C Alffenaar
- School of Pharmacy, The University of Sydney Faculty of Medicine and Health, Sydney, New South Wales, Australia
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, New South Wales, Australia
- Westmead Hospital, Sydney, New South Wales, Australia
| | - Jakob Paues
- Department of Infectious Diseases, and Department of Biomedical and Clinical Sciences, Linköping University, Linkoping, Sweden
| | - Katarina Niward
- Department of Infectious Diseases, and Department of Biomedical and Clinical Sciences, Linköping University, Linkoping, Sweden
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Zhang M, Wang M, He JQ. Intensified Antituberculosis Therapy Regimen Containing Higher Dose Rifampin for Tuberculous Meningitis: A Systematic Review and Meta-Analysis. Front Med (Lausanne) 2022; 9:822201. [PMID: 35280900 PMCID: PMC8916538 DOI: 10.3389/fmed.2022.822201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 01/19/2022] [Indexed: 11/17/2022] Open
Abstract
Background Tuberculous meningitis is difficult to diagnose and is associated with high mortality. Recently, several studies evaluated the intensified regimen containing higher dose rifampin to treat tuberculous meningitis. However, this topic remains to be concluded. Therefore, this systematic review and meta-analysis was conducted to evaluate pharmacokinetics parameters, safety, and survival benefits of high-dose rifampin for tuberculous meningitis. Method Data were searched from PubMed, EMBASE, The Cochrane Library, and Web of Science for studies describing an antituberculosis regimen including a higher dose of rifampin for patients with tuberculous meningitis. The quality of eligible studies was evaluated via The Cochrane Risk of Bias Tool. The meta-analysis was performed by Review Manager 5.3 software, the synthesis of the data was shown in mean difference (MD) or relative risk (RR), and 95% confidence intervals (CIs). Results There were six randomized control trails included in this meta-analysis. The results showed that the concentration in plasma and cerebrospinal fluid (CSF) were significantly higher in the intervention group than the standard group [MD = 22.08, 95%CI (16.24, 27.92), p < 0.00001; MD = 0.74, 95%CI (0.42, 1.05), p < 0.00001], as well as the area under the time concentration curve between 0 and 24 h (AUC0−24) of rifampin [MD 203.56, 95%CI (153.07, 254.05), p < 0.00001] in plasma, but the overall survival did not improve [RR = 0.92, 95%CI (0.67, 1.26), p = 0.61]. For adverse events, the results showed a statistically significant lower incidence of hypersensitivity compared with the intervention group [RR = 1.72, 95%CI (1.13, 2.62), p = 0.01]. Fortunately, other common adverse drug reactions such as liver injury, neurological events, myelosuppression, and cardiotoxicity had no significant increase [RR = 0.98, 95%CI (0.77, 1.26), p = 0.90; RR = 1.10, 95%CI (0.94, 1.30), p = 0.23; RR = 0.82, 95%CI (0.59, 1.13), p = 0.22; RR = 1.11, 95%CI (0.66, 1.86), p = 0.70]. Conclusion This meta-analysis suggested that the intensified treatment regimen including a higher dose of rifampin significantly increased the rifampin concentration both in the plasma and CSF, and it was safe in patients with tuberculous meningitis, but resulted in no improvement in survival rates.
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Chapagain M, Pasipanodya JG, Athale S, Bernal C, Trammell R, Howe D, Gumbo T. OUP accepted manuscript. J Antimicrob Chemother 2022; 77:1694-1705. [PMID: 35257162 PMCID: PMC9155607 DOI: 10.1093/jac/dkac068] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 02/07/2022] [Indexed: 11/27/2022] Open
Abstract
Objectives The standard of care (SOC) for the treatment of pulmonary Mycobacterium avium complex (MAC) disease (clarithromycin, rifabutin, and ethambutol) achieves sustained sputum conversion rates of only 54%. Thus, new treatments should be prioritized. Methods We identified the omadacycline MIC against one laboratory MAC strain and calculated drug half life in solution, which we compared with measured MAC doubling times. Next, we performed an omadacycline hollow fibre system model of intracellular MAC (HFS-MAC) exposure–effect study, as well as the three-drug SOC, using pharmacokinetics achieved in patient lung lesions. Data was analysed using bacterial kill slopes (γ-slopes) and inhibitory sigmoid Emax bacterial burden versus exposure analyses. Monte Carlo experiments (MCE) were used to identify the optimal omadacycline clinical dose. Results Omadacycline concentration declined in solution with a half-life of 27.7 h versus a MAC doubling time of 16.3 h, leading to artefactually high MICs. Exposures mediating 80% of maximal effect changed up to 8-fold depending on sampling day with bacterial burden versus exposure analyses, while γ-slope-based analyses gave a single robust estimate. The highest omadacycline monotherapy γ-slope was −0.114 (95% CI: −0.141 to −0.087) (r2 = 0.98) versus −0.114 (95% CI: −0.133 to −0.094) (r2 = 0.99) with the SOC. MCEs demonstrated that 450 mg of omadacycline given orally on the first 2 days followed by 300 mg daily would achieve the AUC0-24 target of 39.67 mg·h/L. Conclusions Omadacycline may be a potential treatment option for pulmonary MAC, possibly as a back-bone treatment for a new MAC regimen and warrants future study in treatment of this disease.
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Affiliation(s)
- Moti Chapagain
- Hollow Fiber System & Experimental Therapeutics Laboratory, Praedicare Inc., 14830 Venture Drive, Dallas, Texas, USA
| | - Jotam G. Pasipanodya
- Quantitative Preclinical & Clinical Sciences Department, Praedicare Inc., 14830 Venture Drive, Dallas, Texas, USA
| | - Shruti Athale
- Hollow Fiber System & Experimental Therapeutics Laboratory, Praedicare Inc., 14830 Venture Drive, Dallas, Texas, USA
| | - Claude Bernal
- Praedicare Chemistry, Praedicare Inc., 14830 Venture Drive, Dallas, Texas, USA
| | - Rachel Trammell
- Praedicare Chemistry, Praedicare Inc., 14830 Venture Drive, Dallas, Texas, USA
| | - David Howe
- Hollow Fiber System & Experimental Therapeutics Laboratory, Praedicare Inc., 14830 Venture Drive, Dallas, Texas, USA
- Quantitative Preclinical & Clinical Sciences Department, Praedicare Inc., 14830 Venture Drive, Dallas, Texas, USA
- Praedicare Chemistry, Praedicare Inc., 14830 Venture Drive, Dallas, Texas, USA
| | - Tawanda Gumbo
- Hollow Fiber System & Experimental Therapeutics Laboratory, Praedicare Inc., 14830 Venture Drive, Dallas, Texas, USA
- Quantitative Preclinical & Clinical Sciences Department, Praedicare Inc., 14830 Venture Drive, Dallas, Texas, USA
- Corresponding author. E-mail:
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10
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Srivastava S, Gumbo T, Thomas T. Repurposing Cefazolin-Avibactam for the Treatment of Drug Resistant Mycobacterium tuberculosis. Front Pharmacol 2021; 12:776969. [PMID: 34744753 PMCID: PMC8569112 DOI: 10.3389/fphar.2021.776969] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 10/06/2021] [Indexed: 11/19/2022] Open
Abstract
Background: While tuberculosis (TB) is curable and preventable, the most effective first-line antibiotics cannot kill multi-drug resistant (MDR) Mycobacterium tuberculosis (Mtb). Therefore, effective drugs are needed to combat MDR-TB, especially in children. Our objective was to repurpose cefazolin for MDR-TB treatment in children using principles of pharmacokinetic/pharmacodynamics (PK/PD). Methods: Cefazolin minimum inhibitory concentration (MIC) was identified in 17 clinical Mtb strains, with and without combination of the β-lactamase inhibitor, avibactam. Next, dose-ranging studies were performed using the intracellular hollow fiber model of TB (HFS-TB) to identify the optimal cefazolin exposure. Monte Carlo experiments were then performed in 10,000 children for optimal dose identification based on cumulative fraction of response (CFR) and Mtb susceptibility breakpoint in three age-groups. Results: Avibactam reduced the cefazolin MICs by five tube dilutions. Cefazolin-avibactam demonstrated maximal kill of 4.85 log10 CFU/mL in the intracellular HFS-TB over 28 days. The % time above MIC associated with maximal effect (EC80) was 46.76% (95% confidence interval: 43.04–50.49%) of dosing interval. For 100 mg/kg once or twice daily, the CFR was 8.46 and 61.39% in children <3 years with disseminated TB, 9.70 and 84.07% for 3–5 years-old children, and 17.20 and 76.13% for 12–15 years-old children. The PK/PD-derived susceptibility breakpoint was dose dependent at 1–2 mg/L. Conclusion: Cefazolin-avibactam combination demonstrates efficacy against both drug susceptible and MDR-TB clinical strains in the HFS-TB and could potentially be used to treat children with tuberculosis. Clinical studies are warranted to validate our findings.
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Affiliation(s)
- Shashikant Srivastava
- Department of Pulmonary Immunology, University of Texas Health Science Centre, Tyler, TX, United States.,Department of Immunology, UT Southwestern Medical Center, Dallas, TX, United States.,Department of Pharmacy Practice, Texas Tech University Health Science Center, Dallas, TX, United States
| | - Tawanda Gumbo
- Praedicare Laboratories and Quantitative Preclinical & Clinical Sciences Department, Praedicare Inc., Dallas, TX, United States
| | - Tania Thomas
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, United States
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11
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Pasipanodya JG, Gumbo T. The Relationship Between Drug Concentration in Tuberculosis Lesions, Epithelial Lining Fluid, and Clinical Outcomes. Clin Infect Dis 2021; 73:e3374-e3376. [PMID: 32857152 DOI: 10.1093/cid/ciaa1271] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 08/24/2020] [Indexed: 11/12/2022] Open
Affiliation(s)
| | - Tawanda Gumbo
- Praedicare Inc., Dallas, Texas, USA.,Department of Medicine, University of Cape Town, Observatory, South Africa
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12
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McCallum AD, Pertinez HE, Else LJ, Dilly-Penchala S, Chirambo AP, Sheha I, Chasweka M, Chitani A, Malamba RD, Meghji JZ, Gordon SB, Davies GR, Khoo SH, Sloan DJ, Mwandumba HC. Intrapulmonary Pharmacokinetics of First-line Anti-tuberculosis Drugs in Malawian Patients With Tuberculosis. Clin Infect Dis 2021; 73:e3365-e3373. [PMID: 32856694 PMCID: PMC8563277 DOI: 10.1093/cid/ciaa1265] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Further work is required to understand the intrapulmonary pharmacokinetics of first-line anti-tuberculosis drugs. This study aimed to describe the plasma and intrapulmonary pharmacokinetics of rifampicin, isoniazid, pyrazinamide, and ethambutol, and explore relationships with clinical treatment outcomes in patients with pulmonary tuberculosis. METHODS Malawian adults with a first presentation of microbiologically confirmed pulmonary tuberculosis received standard 6-month first-line therapy. Plasma and intrapulmonary samples were collected 8 and 16 weeks into treatment and drug concentrations measured in plasma, lung/airway epithelial lining fluid (ELF), and alveolar cells. Population pharmacokinetic modeling generated estimates of drug exposure (Cmax and AUC) from individual-level post hoc Bayesian estimates of plasma and intrapulmonary pharmacokinetics. RESULTS One-hundred fifty-seven patients (58% HIV coinfected) participated. Despite standard weight-based dosing, peak plasma concentrations of first-line drugs were below therapeutic drug-monitoring targets. Rifampicin concentrations were low in all 3 compartments. Isoniazid, pyrazinamide, and ethambutol achieved higher concentrations in ELF and alveolar cells than plasma. Isoniazid and pyrazinamide concentrations were 14.6-fold (95% CI, 11.2-18.0-fold) and 49.8-fold (95% CI, 34.2-65.3-fold) higher in ELF than plasma, respectively. Ethambutol concentrations were highest in alveolar cells (alveolar cell-plasma ratio, 15.0; 95% CI, 11.4-18.6). Plasma or intrapulmonary pharmacokinetics did not predict clinical treatment response. CONCLUSIONS We report differential drug concentrations between plasma and the lung. While plasma concentrations were below therapeutic monitoring targets, accumulation of drugs at the site of disease may explain the success of the first-line regimen. The low rifampicin concentrations observed in all compartments lend strong support for ongoing clinical trials of high-dose rifampicin regimens.
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Affiliation(s)
- Andrew D McCallum
- Malawi-Liverpool-Wellcome Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom
- Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Henry E Pertinez
- Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Laura J Else
- Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Sujan Dilly-Penchala
- Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Aaron P Chirambo
- Malawi-Liverpool-Wellcome Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi
| | - Irene Sheha
- Malawi-Liverpool-Wellcome Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi
| | - Madalitso Chasweka
- Malawi-Liverpool-Wellcome Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi
| | - Alex Chitani
- Malawi-Liverpool-Wellcome Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi
| | - Rose D Malamba
- Malawi-Liverpool-Wellcome Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi
| | - Jamilah Z Meghji
- Malawi-Liverpool-Wellcome Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom
| | - Stephen B Gordon
- Malawi-Liverpool-Wellcome Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom
| | - Geraint R Davies
- Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Saye H Khoo
- Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Derek J Sloan
- School of Medicine, University of St Andrews, St Andrews, United Kingdom
| | - Henry C Mwandumba
- Malawi-Liverpool-Wellcome Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom
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13
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van Beek SW, Ter Heine R, Alffenaar JWC, Magis-Escurra C, Aarnoutse RE, Svensson EM. A Model-Informed Method for the Purpose of Precision Dosing of Isoniazid in Pulmonary Tuberculosis. Clin Pharmacokinet 2021; 60:943-953. [PMID: 33615419 PMCID: PMC8249295 DOI: 10.1007/s40262-020-00971-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/28/2020] [Indexed: 11/26/2022]
Abstract
Background and Objective This study aimed to develop and evaluate a population pharmacokinetic model and limited sampling strategy for isoniazid to be used in model-based therapeutic drug monitoring. Methods A population pharmacokinetic model was developed based on isoniazid and acetyl-isoniazid pharmacokinetic data from seven studies with in total 466 patients from three continents. Three limited sampling strategies were tested based on the available sampling times in the dataset and practical considerations. The tested limited sampling strategies sampled at 2, 4, and 6 h, 2 and 4 h, and 2 h after dosing. The model-predicted area under the concentration–time curve from 0 to 24 h (AUC24) and the peak concentration from the limited sampling strategies were compared to predictions using the full pharmacokinetic curve. Bias and precision were assessed using the mean error (ME) and the root mean square error (RMSE), both expressed as a percentage of the mean model-predicted AUC24 or peak concentration on the full pharmacokinetic curve. Results Performance of the developed model was acceptable and the uncertainty in parameter estimations was generally low (the highest relative standard error was 39% coefficient of variation). The limited sampling strategy with sampling at 2 and 4 h was determined as most suitable with an ME of 1.1% and RMSE of 23.4% for AUC24 prediction, and ME of 2.7% and RMSE of 23.8% for peak concentration prediction. For the performance of this strategy, it is important that data on both isoniazid and acetyl-isoniazid are used. If only data on isoniazid are available, a limited sampling strategy using 2, 4, and 6 h can be employed with an ME of 1.7% and RMSE of 20.9% for AUC24 prediction, and ME of 1.2% and RMSE of 23.8% for peak concentration prediction. Conclusions A model-based therapeutic drug monitoring strategy for personalized dosing of isoniazid using sampling at 2 and 4 h after dosing was successfully developed. Prospective evaluation of this strategy will show how it performs in a clinical therapeutic drug monitoring setting. Supplementary Information The online version contains supplementary material available at 10.1007/s40262-020-00971-2.
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Affiliation(s)
- Stijn W van Beek
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Center, Geert Grooteplein zuid 10, 864, 6500 HB, Nijmegen, The Netherlands.
| | - Rob Ter Heine
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Center, Geert Grooteplein zuid 10, 864, 6500 HB, Nijmegen, The Netherlands
| | - Jan-Willem C Alffenaar
- School of Pharmacy, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
- Westmead Hospital, Sydney, NSW, Australia
- Marie Bashir Institute of Infectious Diseases and Biosecurity, University of Sydney, Sydney, NSW, Australia
| | - Cecile Magis-Escurra
- Department of Respiratory Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Rob E Aarnoutse
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Center, Geert Grooteplein zuid 10, 864, 6500 HB, Nijmegen, The Netherlands
| | - Elin M Svensson
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Center, Geert Grooteplein zuid 10, 864, 6500 HB, Nijmegen, The Netherlands
- Department of Pharmacy, Uppsala University, Uppsala, Sweden
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14
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Sileshi T, Tadesse E, Makonnen E, Aklillu E. The Impact of First-Line Anti-Tubercular Drugs' Pharmacokinetics on Treatment Outcome: A Systematic Review. Clin Pharmacol 2021; 13:1-12. [PMID: 33469389 PMCID: PMC7811439 DOI: 10.2147/cpaa.s289714] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Accepted: 12/17/2020] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Tuberculosis remains the major public health problem besides tremendous efforts to combat it. Most tuberculosis patients are treated with a standard dose of first-line anti-TB drugs. The cure rate, however, varies from patient to patient. Various factors have been related to anti-TB treatment failure. In recent years, studies associating lower plasma concentrations of anti-TB drugs with poor treatment outcomes are emerging although the results are inconclusive. OBJECTIVE Investigate the impact of first-line anti-tubercular drugs pharmacokinetics on treatment outcome. METHODS A systematic search of Pubmed, EMBASE, Web of Science, and the Cochrane Library for articles published in the English language between January 2010 to June 2020 was conducted to identify eligible studies describing associations of first-line anti-tubercular drug pharmacokinetics with treatment outcomes. The primary outcomes considered were pharmacokinetics parameter results and its association with treatment outcome. RESULTS The search identified 1754 articles of which twelve articles; ten prospective observational studies and two controlled clinical trials fulfilled the eligibility criteria. The majority of the studies showed target concentrations for the first-line anti-tubercular drugs below the current standard range. Among the twelve studies, eleven studies assessed rifampicin pharmacokinetics of which eight reported association of drug concentration and treatment outcomes. Similarly, four out of eight and three out of seven reported drug concentration and treatment outcome association for isoniazid and pyrazinamide, respectively. Despite the low plasma concentration, a favorable treatment outcome was achieved for the bulk of the patients. Irrespective of the inconsistency, an increase in exposure to rifampicin improved the outcome, and lower rifampicin, isoniazid, and pyrazinamide concentration are associated with poor outcome. No data are available for ethambutol associating its pharmacokinetics with treatment outcomes. CONCLUSION The pharmacokinetics of first-line antitubercular drugs can influence treatment outcomes. Further controlled clinical studies are, however, required to establish these relationships.
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Affiliation(s)
- Tesemma Sileshi
- Ambo University, Department of Pharmacy, Ambo, Ethiopia
- Addis Ababa University, College of Health Sciences, Addis Ababa, Ethiopia
| | | | - Eyasu Makonnen
- Addis Ababa University, College of Health Sciences, Addis Ababa, Ethiopia
| | - Eleni Aklillu
- Karolinska Institutet, Department of Laboratory Medicine, Stockholm, Sweden
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15
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Alffenaar JWC, Gumbo T, Dooley KE, Peloquin CA, Mcilleron H, Zagorski A, Cirillo DM, Heysell SK, Silva DR, Migliori GB. Integrating Pharmacokinetics and Pharmacodynamics in Operational Research to End Tuberculosis. Clin Infect Dis 2021; 70:1774-1780. [PMID: 31560376 PMCID: PMC7146003 DOI: 10.1093/cid/ciz942] [Citation(s) in RCA: 55] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Accepted: 09/20/2019] [Indexed: 12/11/2022] Open
Abstract
Tuberculosis (TB) elimination requires innovative approaches. The new Global Tuberculosis Network (GTN) aims to conduct research on key unmet therapeutic and diagnostic needs in the field of TB elimination using multidisciplinary, multisectorial approaches. The TB Pharmacology section within the new GTN aims to detect and study the current knowledge gaps, test potential solutions using human pharmacokinetics informed through preclinical infection systems, and return those findings to the bedside. Moreover, this approach would allow prospective identification and validation of optimal shorter therapeutic durations with new regimens. Optimized treatment using available and repurposed drugs may have an increased impact when prioritizing a person-centered approach and acknowledge the importance of age, gender, comorbidities, and both social and programmatic environments. In this viewpoint article, we present an in-depth discussion on how TB pharmacology and the related strategies will contribute to TB elimination.
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Affiliation(s)
- Jan-Willem C Alffenaar
- University of Sydney, Faculty of Medicine and Health, School of Pharmacy, Sydney, Australia.,Westmead Hospital, Sydney, Australia
| | - Tawanda Gumbo
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas, USA
| | - Kelly E Dooley
- Division of Clinical Pharmacology, Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Charles A Peloquin
- Infectious Disease Pharmacokinetics Laboratory, University of Florida College of Pharmacy, Gainesville, Florida, USA
| | - Helen Mcilleron
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Andre Zagorski
- Management Sciences for Health, Arlington, Virginia, USA
| | - Daniela M Cirillo
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, Istituto Di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Scientific Institute, Milan, Italy
| | - Scott K Heysell
- University of Virginia, Division of Infectious Diseases and International Health, Charlottesville, Virginia, USA
| | - Denise Rossato Silva
- Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Giovanni Battista Migliori
- Servizio di Epidemiologia Clinica delle Malattie Respiratorie, Istituti Clinici Scientifici Maugeri IRCCS, Tradate, Italy
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16
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Zheng X, Bao Z, Forsman LD, Hu Y, Ren W, Gao Y, Li X, Hoffner S, Bruchfeld J, Alffenaar JW. Drug exposure and minimum inhibitory concentration predict pulmonary tuberculosis treatment response. Clin Infect Dis 2020; 73:e3520-e3528. [PMID: 33070176 DOI: 10.1093/cid/ciaa1569] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Prospective studies correlating pharmacokinetic/pharmacodynamic (PK/PD) indices to clinical responses are urgently needed. This study aimed to find clinically relevant PK/PD thresholds that can be used for treatment optimization. METHODS Pharmacokinetic sampling and minimum inhibitory concentration (MIC) measurements were performed for culture-confirmed tuberculosis patients. Classification and regression tree (CART) analysis was applied to obtain PK and/or PD thresholds for first-line drugs predictive of two-week/month culture conversion, treatment outcome determined at 6-8 months, acute kidney injury (AKI) and drug-induced liver injury (DILI). Least absolute shrinkage and selection operator (LASSO) logistic regression was used for model development and validation. RESULTS Finally, 168 and 52 patients with tuberculosis were included in development and validation cohort for analysis, respectively. Area under concentration-time curve (AUC)/MIC below CART-derived thresholds for pyrazinamide of 8.42, pyrazinamide of 2.79 or rifampicin of 435.45 were the predominant predictors of two-week culture conversion, two-month culture conversion or treatment success, respectively. Isoniazid AUC above 21.78 mg·h/L or rifampicin AUC above 82.01 mg·h/L were predictive of DILI or AKI during TB treatment. The predictive performance of trained LASSO models in validation cohort was evaluated by receiver operating characteristic curves and ranged from 0.625 to 0.978. CONCLUSIONS PK/PD indices and drug exposure of anti-TB drugs were associated with clinical outcome and adverse events. The effect of CART-derived thresholds for individualized dosing on treatment outcome should be studied in a randomized controlled trial.
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Affiliation(s)
- Xubin Zheng
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Ziwei Bao
- The Fifth People's Hospital of Suzhou, Suzhou, China
| | - Lina Davies Forsman
- Division of Infectious Diseases, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden.,Department of Infectious Disease, Karolinska University Hospital, Stockholm, Sweden
| | - Yi Hu
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Weihua Ren
- Central Laboratory, First Affiliated Hospital, Henan University of Science and Technology, Luoyang, China
| | - Yazhou Gao
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Xuliang Li
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Sven Hoffner
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Judith Bruchfeld
- Division of Infectious Diseases, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden.,Department of Infectious Disease, Karolinska University Hospital, Stockholm, Sweden
| | - Jan-Willem Alffenaar
- University of Sydney, Faculty of Medicine and Health, School of Pharmacy, Sydney, Australia.,Westmead hospital, Sydney, Australia.,Marie Bashir Institute of Infectious Diseases and Biosecurity, University of Sydney, Sydney, Australia
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17
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Muliaditan M, Della Pasqua O. Evaluation of pharmacokinetic-pharmacodynamic relationships and selection of drug combinations for tuberculosis. Br J Clin Pharmacol 2020; 87:140-151. [PMID: 32415743 DOI: 10.1111/bcp.14371] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 02/07/2020] [Accepted: 04/20/2020] [Indexed: 11/29/2022] Open
Abstract
AIMS Despite evidence of the efficacy of anti-tubercular drug regimens in clinical practice, the rationale underpinning the selection of doses and companion drugs for combination therapy remains empirical. Novel methods are needed to optimise the antibacterial activity in combination therapies. A drug-disease modelling framework for rational selection of dose and drug combinations in tuberculosis is presented here. METHODS A model-based meta-analysis was performed to assess the antibacterial activity of different combinations in infected mice. Data retrieved from the published literature were analysed using a two-state bacterial growth dynamics model, including fast- and slow-growing bacterial populations. The contribution of each drug to the overall antibacterial activity of the combination was parameterised as relative change to the potency of the backbone drug (EC50 -F and/or EC50 -S). Rifampicin and bedaquiline were selected as paradigm drugs to evaluate the predictive performance of the modelling approach. RESULTS Pyrazinamide increased the potency (EC50 -F and EC50 -S) of rifampicin (RZ) and bedaquiline (BZ) by almost two-fold. By contrast, pretomanid and isoniazid were found to worsen the antibacterial activity of BZ and RZ, respectively. Following extrapolation of in vivo pharmacokinetic-pharmacodynamic relationships, the dose of rifampicin showing maximum bactericidal effect in tuberculosis patients was predicted to be 70 mg·kg-1 when given in combination with pyrazinamide. CONCLUSIONS The use of a drug-disease modelling framework may provide a more robust rationale for extrapolation and selection of dose and companion drugs in humans. Our analysis demonstrates that RZ and BZ should be considered as a backbone therapy in prospective novel combination regimens against tuberculosis.
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Affiliation(s)
- Morris Muliaditan
- Clinical Pharmacology & Therapeutics Group, University College London, London, UK.,Clinical Pharmacology Modelling and Simulation, GlaxoSmithKline, Uxbridge, UK
| | - Oscar Della Pasqua
- Clinical Pharmacology & Therapeutics Group, University College London, London, UK.,Clinical Pharmacology Modelling and Simulation, GlaxoSmithKline, Uxbridge, UK
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18
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Diacon A, Miyahara S, Dawson R, Sun X, Hogg E, Donahue K, Urbanowski M, De Jager V, Fletcher CV, Hafner R, Swindells S, Bishai W. Assessing whether isoniazid is essential during the first 14 days of tuberculosis therapy: a phase 2a, open-label, randomised controlled trial. LANCET MICROBE 2020; 1:e84-e92. [PMID: 33834177 DOI: 10.1016/s2666-5247(20)30011-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Background Clinical studies suggest that isoniazid contributes rapid bacterial killing during the initial two days of tuberculosis treatment but that isoniazid's activity declines significantly after day three. We conducted a 14-day phase IIa open label, randomized trial to assess the essentiality of isoniazid in standard tuberculosis therapy. Methods A total of 69 adults with newly diagnosed sputum-positive tuberculosis from the South African Western Cape region were enrolled and randomized to a four-arm parallel assignment model. Participants were followed for 14 days as inpatients at either the University of Cape Town Lung Institute or at the TASK Applied Science clinical research organization. All arms received standard daily rifampicin, ethambutol, and pyrazinamide but differed as follows: isoniazid only on days one and two (n=17), isoniazid on days one and two then moxifloxacin on days three through 14 (n=16), no isoniazid (n=18), and a control group that received isoniazid for all 14 days (standard therapy, n=18). The primary endpoint was the rate of colony forming unit (CFU) decline during the first 14 days of treatment. Results For 62 participants analyzed, the initial 14-day mean daily fall in log10 CFU (95% CI) was 0·14 (0·11, 0·18) for participants receiving isoniazid for two days only; 0·13 (0·09, 0·17) for participants receiving isoniazid for two days followed by moxifloxacin; 0·12 (0·08, 0·15) for those not receiving isoniazid; and 0·13 (0·09, 0·16) for the standard therapy group. Conclusions The 14 day EBA for the combination rifampicin, ethambutol, and pyrazinamide was not significantly changed by the addition of isoniazid for the first two days or for the first 14 days of treatment. In a post hoc analysis, significantly higher day-two EBAs were observed for all groups among participants with higher baseline sputum CFUs. Our finding that INH does not contribute to EBA suggests that INH could be replaced with another drug during standard treatment to improve efficacy and decrease rates of resistance to first-line drugs. (Funded by the NIH AIDS Clinical Trial Groups and NIH; A5307 ClinicalTrials.gov number, NCT01589497).
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Affiliation(s)
- Andreas Diacon
- Division of Physiology, Department of Medical Biochemistry, Stellenbosch University, Cape Town, South Africa.,Task Applied Science, Tuberculosis Clinical Research Centre, Bellville, Cape Town, South Africa
| | - Sachiko Miyahara
- Center for Biostatistics in AIDS Research, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Rodney Dawson
- Task Applied Science, Tuberculosis Clinical Research Centre, Bellville, Cape Town, South Africa.,University of Cape Town Lung Institute and Division of Pulmonology, Department of Medicine, Groote Schuur Hospital, Cape Town, South Africa
| | - Xin Sun
- Center for Biostatistics in AIDS Research, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Evelyn Hogg
- Social & Scientific Systems, Inc., Silver Spring, Maryland, USA
| | - Kathleen Donahue
- Frontier Science & Technology Research Foundation Inc., Amherst, New York, USA
| | - Michael Urbanowski
- Center for TB Research, Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Veronique De Jager
- Task Applied Science, Tuberculosis Clinical Research Centre, Bellville, Cape Town, South Africa
| | | | - Richard Hafner
- Division of AIDS, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland
| | - Susan Swindells
- Department of Internal Medicine, Division of Infectious Diseases, College of Medicine, University of Nebraska Medical Center, Omaha, Nebraska
| | - William Bishai
- Center for TB Research, Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland
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19
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Susanto BO, Wicha SG, Hu Y, Coates ARM, Simonsson USH. Translational Model-Informed Approach for Selection of Tuberculosis Drug Combination Regimens in Early Clinical Development. Clin Pharmacol Ther 2020; 108:274-286. [PMID: 32080839 DOI: 10.1002/cpt.1814] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 02/08/2020] [Indexed: 01/29/2023]
Abstract
The development of optimal treatment regimens in tuberculosis (TB) remains challenging due to the need of combination therapy and possibility of pharmacodynamic (PD) interactions. Preclinical information about PD interactions needs to be used more optimally when designing early bactericidal activity (EBA) studies. In this work, we developed a translational approach which can allow for forward translation to predict efficacy of drug combination in EBA studies using the Multistate Tuberculosis Pharmacometric (MTP) and the General Pharmacodynamic Interaction (GPDI) models informed by in vitro static time-kill data. These models were linked with translational factors to account for differences between the in vitro system and humans. Our translational MTP-GPDI model approach was able to predict the EBA0-2 days , EBA0-5 days , and EBA0-14 days from different EBA studies of rifampicin and isoniazid in monotherapy and combination. Our translational model approach can contribute to an optimal dose selection of drug combinations in early TB clinical trials.
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Affiliation(s)
- Budi O Susanto
- Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | - Sebastian G Wicha
- Department of Clinical Pharmacy, Institute of Pharmacy, University of Hamburg, Hamburg, Germany
| | - Yanmin Hu
- Institute for Infection and Immunity, St. George's University of London, London, UK
| | - Anthony R M Coates
- Institute for Infection and Immunity, St. George's University of London, London, UK
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20
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Deshpande D, Pasipanodya JG, Srivastava S, Bendet P, Koeuth T, Bhavnani SM, Ambrose PG, Smythe W, McIlleron H, Thwaites G, Gumusboga M, Van Deun A, Gumbo T. Gatifloxacin Pharmacokinetics/Pharmacodynamics-based Optimal Dosing for Pulmonary and Meningeal Multidrug-resistant Tuberculosis. Clin Infect Dis 2019; 67:S274-S283. [PMID: 30496459 DOI: 10.1093/cid/ciy618] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Background Gatifloxacin is used for the treatment of multidrug-resistant tuberculosis (MDR-TB). The optimal dose is unknown. Methods We performed a 28-day gatifloxacin hollow-fiber system model of tuberculosis (HFS-TB) study in order to identify the target exposures associated with optimal kill rates and resistance suppression. Monte Carlo experiments (MCE) were used to identify the dose that would achieve the target exposure in 10000 adult patients with meningeal or pulmonary MDR-TB. The optimal doses identified were validated using probit analyses of clinical data from 2 prospective clinical trials of patients with pulmonary and meningeal tuberculosis. Classification and regression-tree (CART) analyses were used to identify the gatifloxacin minimum inhibitory concentration (MIC) below which patients failed or relapsed on combination therapy. Results The target exposure associated with optimal microbial kill rates and resistance suppression in the HFS-TB was a 0-24 hour area under the concentration-time curve-to-MIC of 184. MCE identified an optimal gatifloxacin dose of 800 mg/day for pulmonary and 1200 mg/day for meningeal MDR-TB, and a clinical susceptibility breakpoint of MIC ≤ 0.5 mg/L. In clinical trials, CART identified that 79% patients failed therapy if MIC was >2 mg/L, but 98% were cured if MIC was ≤0.5 mg/L. Probit analysis of clinical data demonstrated a >90% probability of a cure in patients if treated with 800 mg/day for pulmonary tuberculosis and 1200 mg/day for meningeal tuberculosis. Doses ≤400 mg/day were suboptimal. Conclusions Gatifloxacin doses of 800 mg/day and 1200 mg/day are recommended for pulmonary and meningeal MDR-TB treatment, respectively. Gatifloxacin has a susceptible dose-dependent zone at MICs 0.5-2 mg/L.
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Affiliation(s)
- Devyani Deshpande
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Jotam G Pasipanodya
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Shashikant Srivastava
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Paula Bendet
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Thearith Koeuth
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | | | - Paul G Ambrose
- Institute for Clinical Pharmacodynamics, Schenectady, New York
| | - Wynand Smythe
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, South Africa
| | - Helen McIlleron
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, South Africa
| | - Guy Thwaites
- Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, Churchill Hospital, Oxford, United Kingdom.,Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | | | - Armand Van Deun
- Institute of Tropical Medicine, Antwerp, Belgium.,International Union Against Tuberculosis and Lung Disease, Paris, France
| | - Tawanda Gumbo
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
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21
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Pasipanodya JG, Gumbo T. Individualizing Tuberculosis (TB) Treatment: Are TB Programs in High Burden Settings Ready for Prime Time Therapeutic Drug Monitoring? Clin Infect Dis 2019. [PMID: 29514180 DOI: 10.1093/cid/ciy184] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Jotam G Pasipanodya
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Tawanda Gumbo
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
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22
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Dheda K, Lenders L, Magombedze G, Srivastava S, Raj P, Arning E, Ashcraft P, Bottiglieri T, Wainwright H, Pennel T, Linegar A, Moodley L, Pooran A, Pasipanodya JG, Sirgel FA, van Helden PD, Wakeland E, Warren RM, Gumbo T. Drug-Penetration Gradients Associated with Acquired Drug Resistance in Patients with Tuberculosis. Am J Respir Crit Care Med 2019; 198:1208-1219. [PMID: 29877726 DOI: 10.1164/rccm.201711-2333oc] [Citation(s) in RCA: 97] [Impact Index Per Article: 19.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
RATIONALE Acquired resistance is an important driver of multidrug-resistant tuberculosis (TB), even with good treatment adherence. However, exactly what initiates the resistance and how it arises remain poorly understood. OBJECTIVES To identify the relationship between drug concentrations and drug susceptibility readouts (minimum inhibitory concentrations [MICs]) in the TB cavity. METHODS We recruited patients with medically incurable TB who were undergoing therapeutic lung resection while on treatment with a cocktail of second-line anti-TB drugs. On the day of surgery, antibiotic concentrations were measured in the blood and at seven prespecified biopsy sites within each cavity. Mycobacterium tuberculosis was grown from each biopsy site, MICs of each drug identified, and whole-genome sequencing performed. Spearman correlation coefficients between drug concentration and MIC were calculated. MEASUREMENTS AND MAIN RESULTS Fourteen patients treated for a median of 13 months (range, 5-31 mo) were recruited. MICs and drug resistance-associated single-nucleotide variants differed between the different geospatial locations within each cavity, and with pretreatment and serial sputum isolates, consistent with ongoing acquisition of resistance. However, pretreatment sputum MIC had an accuracy of only 49.48% in predicting cavitary MICs. There were large concentration-distance gradients for each antibiotic. The location-specific concentrations inversely correlated with MICs (P < 0.05) and therefore acquired resistance. Moreover, pharmacokinetic/pharmacodynamic exposures known to amplify drug-resistant subpopulations were encountered in all positions. CONCLUSIONS These data inform interventional strategies relevant to drug delivery, dosing, and diagnostics to prevent the development of acquired resistance. The role of high intracavitary penetration as a biomarker of antibiotic efficacy, when assessing new regimens, requires clarification.
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Affiliation(s)
- Keertan Dheda
- 1 Center for Lung Infection and Immunity, Division of Pulmonology and University of Cape Town Lung Institute, Department of Medicine.,2 Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Laura Lenders
- 1 Center for Lung Infection and Immunity, Division of Pulmonology and University of Cape Town Lung Institute, Department of Medicine
| | - Gesham Magombedze
- 3 Center for Infectious Diseases Research and Experimental Therapeutics and
| | | | - Prithvi Raj
- 4 Department of Immunology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Erland Arning
- 5 Institute of Metabolic Disease, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Paula Ashcraft
- 5 Institute of Metabolic Disease, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Teodoro Bottiglieri
- 5 Institute of Metabolic Disease, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | | | - Timothy Pennel
- 7 Chris Barnard Division of Cardiothoracic Surgery, Department of Surgery, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa
| | - Anthony Linegar
- 7 Chris Barnard Division of Cardiothoracic Surgery, Department of Surgery, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa
| | - Loven Moodley
- 7 Chris Barnard Division of Cardiothoracic Surgery, Department of Surgery, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa
| | - Anil Pooran
- 1 Center for Lung Infection and Immunity, Division of Pulmonology and University of Cape Town Lung Institute, Department of Medicine
| | | | - Frederick A Sirgel
- 8 Division of Molecular Biology and Human Genetics, South African Medical Research Council Centre for Tuberculosis Research/Department of Science and Technology/National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Stellenbosch University, Stellenbosch, South Africa
| | - Paul D van Helden
- 8 Division of Molecular Biology and Human Genetics, South African Medical Research Council Centre for Tuberculosis Research/Department of Science and Technology/National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Stellenbosch University, Stellenbosch, South Africa
| | - Edward Wakeland
- 4 Department of Immunology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Robin M Warren
- 8 Division of Molecular Biology and Human Genetics, South African Medical Research Council Centre for Tuberculosis Research/Department of Science and Technology/National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Stellenbosch University, Stellenbosch, South Africa
| | - Tawanda Gumbo
- 1 Center for Lung Infection and Immunity, Division of Pulmonology and University of Cape Town Lung Institute, Department of Medicine.,3 Center for Infectious Diseases Research and Experimental Therapeutics and
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23
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Velásquez GE, Brooks MB, Coit JM, Pertinez H, Vargas Vásquez D, Sánchez Garavito E, Calderón RI, Jiménez J, Tintaya K, Peloquin CA, Osso E, Tierney DB, Seung KJ, Lecca L, Davies GR, Mitnick CD. Efficacy and Safety of High-Dose Rifampin in Pulmonary Tuberculosis. A Randomized Controlled Trial. Am J Respir Crit Care Med 2019; 198:657-666. [PMID: 29954183 DOI: 10.1164/rccm.201712-2524oc] [Citation(s) in RCA: 73] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
RATIONALE We examined whether increased rifampin doses could shorten standard therapy for tuberculosis without increased toxicity. OBJECTIVES To assess the differences across three daily oral doses of rifampin in change in elimination rate of Mycobacterium tuberculosis in sputum and frequency of rifampin-related adverse events. METHODS We conducted a blinded, randomized, controlled phase 2 clinical trial of 180 adults with new smear-positive pulmonary tuberculosis, susceptible to isoniazid and rifampin. We randomized 1:1:1 to rifampin at 10, 15, and 20 mg/kg/d during the intensive phase. We report the primary efficacy and safety endpoints: change in elimination rate of M. tuberculosis log10 colony-forming units and frequency of grade 2 or higher rifampin-related adverse events. We report efficacy by treatment arm and by primary (area under the plasma concentration-time curve [AUC]/minimum inhibitory concentration [MIC]) and secondary (AUC) pharmacokinetic exposure. MEASUREMENTS AND MAIN RESULTS Each 5-mg/kg/d increase in rifampin dose resulted in differences of -0.011 (95% confidence interval, -0.025 to +0.002; P = 0.230) and -0.022 (95% confidence interval, -0.046 to -0.002; P = 0.022) log10 cfu/ml/d in the modified intention-to-treat and per-protocol analyses, respectively. The elimination rate in the per-protocol population increased significantly with rifampin AUC0-6 (P = 0.011) but not with AUC0-6/MIC99.9 (P = 0.053). Grade 2 or higher rifampin-related adverse events occurred with similar frequency across the three treatment arms: 26, 31, and 23 participants (43.3%, 51.7%, and 38.3%, respectively) had at least one event (P = 0.7092) up to 4 weeks after the intensive phase. Treatment failed or disease recurred in 11 participants (6.1%). CONCLUSIONS Our findings of more rapid sputum sterilization and similar toxicity with higher rifampin doses support investigation of increased rifampin doses to shorten tuberculosis treatment. Clinical trial registered with www.clinicaltrials.gov (NCT 01408914) .
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Affiliation(s)
- Gustavo E Velásquez
- 1 Division of Infectious Diseases and.,2 Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts
| | - Meredith B Brooks
- 2 Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts
| | - Julia M Coit
- 2 Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts
| | - Henry Pertinez
- 3 Institute of Infection and Global Health and.,4 Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | | | | | | | - Judith Jiménez
- 7 Partners in Health/Socios en Salud Sucursal Peru, Lima, Peru
| | - Karen Tintaya
- 7 Partners in Health/Socios en Salud Sucursal Peru, Lima, Peru
| | - Charles A Peloquin
- 8 College of Pharmacy and Emerging Pathogens Institute, University of Florida, Gainesville, Florida; and
| | - Elna Osso
- 2 Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts
| | - Dylan B Tierney
- 9 Division of Global Health Equity, Brigham and Women's Hospital, Boston, Massachusetts
| | - Kwonjune J Seung
- 9 Division of Global Health Equity, Brigham and Women's Hospital, Boston, Massachusetts.,10 Partners in Health, Boston, Massachusetts
| | - Leonid Lecca
- 2 Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts.,7 Partners in Health/Socios en Salud Sucursal Peru, Lima, Peru
| | - Geraint R Davies
- 3 Institute of Infection and Global Health and.,4 Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Carole D Mitnick
- 9 Division of Global Health Equity, Brigham and Women's Hospital, Boston, Massachusetts.,2 Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts.,10 Partners in Health, Boston, Massachusetts
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24
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Dosing tuberculosis drugs in young children: the road ahead. THE LANCET CHILD & ADOLESCENT HEALTH 2019; 3:590-592. [PMID: 31324599 DOI: 10.1016/s2352-4642(19)30180-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 05/20/2019] [Indexed: 11/24/2022]
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25
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Chirehwa MT, Velásquez GE, Gumbo T, McIlleron H. Quantitative assessment of the activity of antituberculosis drugs and regimens. Expert Rev Anti Infect Ther 2019; 17:449-457. [PMID: 31144539 PMCID: PMC6581212 DOI: 10.1080/14787210.2019.1621747] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Accepted: 05/17/2019] [Indexed: 10/26/2022]
Abstract
Introduction: Identification of optimal drug doses and drug combinations is crucial for optimized treatment of tuberculosis. Areas covered: An unprecedented level of research activity involving multiple approaches is seeking to improve tuberculosis treatment. This report is a review of the quantitative methods currently used on clinical data sets to identify drug exposure targets and optimal drug combinations for tuberculosis treatment. A high-level summary of the methods, including the strengths and weaknesses of each method and potential methodological improvements is presented. Methods incorporating data generated from multiple sources such as in vitro and clinical studies, and their potential to provide better estimates of pharmacokinetic/pharmacodynamic (PK/PD) targets, are discussed. PK/PD relationships identified are compared between different studies and data analysis methods. Expert opinion: The relationships between drug exposures and tuberculosis treatment outcomes are complex and require analytical methods capable of handling the multidimensional nature of the relationships. The choice of a method is guided by its complexity, interpretability of results, and type of data available.
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Affiliation(s)
- Maxwell T. Chirehwa
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, South Africa
| | - Gustavo E. Velásquez
- Division of Infectious Diseases, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
| | - Tawanda Gumbo
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas, USA
| | - Helen McIlleron
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, South Africa
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26
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Mukherjee A, Lodha R, Kabra SK. Pharmacokinetics of First-Line Anti-Tubercular Drugs. Indian J Pediatr 2019; 86:468-478. [PMID: 30915644 DOI: 10.1007/s12098-019-02911-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Accepted: 02/15/2019] [Indexed: 12/13/2022]
Abstract
Determining the optimal dosages of isoniazid, rifampicin, pyrazinamide and ethambutol in children is necessary to obtain therapeutic serum concentrations of these drugs. Revised dosages have improved the exposure of 1st line anti-tubercular drugs to some extent; there is still scope for modification of the dosages to achieve exposures which can lead to favourable outcome of the disease. High dose of rifampicin is being investigated in clinical trials in adults with some benefit; studies are required in children. Inter-individual pharmacokinetic variability and the effect of age, nutritional status, Human immunodeficiency virus (HIV) infection, acetylator genotype may need to be accounted for in striving for the dosages best suited for an individual.
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Affiliation(s)
- Aparna Mukherjee
- Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, 110029, India
| | - Rakesh Lodha
- Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, 110029, India.
| | - S K Kabra
- Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, 110029, India
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27
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Naidoo A, Chirehwa M, Ramsuran V, McIlleron H, Naidoo K, Yende-Zuma N, Singh R, Ncgapu S, Adamson J, Govender K, Denti P, Padayatchi N. Effects of genetic variability on rifampicin and isoniazid pharmacokinetics in South African patients with recurrent tuberculosis. Pharmacogenomics 2019; 20:225-240. [PMID: 30767706 PMCID: PMC6562923 DOI: 10.2217/pgs-2018-0166] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2018] [Accepted: 11/23/2018] [Indexed: 12/17/2022] Open
Abstract
AIM We report the prevalence and effect of genetic variability on pharmacokinetic parameters of isoniazid and rifampicin. MATERIALS & METHODS Genotypes for SLCO1B1, NAT2, PXR, ABCB1 and UGT1A genes were determined using a TaqMan® Genotyping OpenArray™. Nonlinear mixed-effects models were used to describe drug pharmacokinetics. RESULTS Among 172 patients, 18, 43 and 34% were classified as rapid, intermediate and slow NAT2 acetylators, respectively. Of the 58 patients contributing drug concentrations, rapid and intermediate acetylators had 2.3- and 1.6-times faster isoniazid clearance than slow acetylators. No association was observed between rifampicin pharmacokinetics and SLCO1B1, ABCB1, UGT1A or PXR genotypes. CONCLUSION Clinical relevance of the effects of genetic variation on isoniazid concentrations and low first-line tuberculosis drug exposures observed require further investigation.
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Affiliation(s)
- Anushka Naidoo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
| | - Maxwell Chirehwa
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Veron Ramsuran
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
- KwaZulu-Natal Research Innovation & Sequencing Platform (KRISP), School of Laboratory Medicine & Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Helen McIlleron
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
- MRC-CAPRISA HIV-TB Pathogenesis & Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa
| | - Nonhlanhla Yende-Zuma
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
| | - Ravesh Singh
- Department of Microbiology, National Health Laboratory Services, KZN Academic Complex, Inkosi Albert Luthuli Central Hospital, Durban, South Africa
| | - Sinaye Ncgapu
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
| | - John Adamson
- Pharmacology Core, Africa Health Research Institute (AHRI), Durban, South Africa
| | - Katya Govender
- Pharmacology Core, Africa Health Research Institute (AHRI), Durban, South Africa
| | - Paolo Denti
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Nesri Padayatchi
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
- MRC-CAPRISA HIV-TB Pathogenesis & Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa
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28
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McIlleron H, Chirehwa MT. Current research toward optimizing dosing of first-line antituberculosis treatment. Expert Rev Anti Infect Ther 2018; 17:27-38. [PMID: 30501530 PMCID: PMC6364307 DOI: 10.1080/14787210.2019.1555031] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Introduction: Drug concentrations in tuberculosis patients on standard regimens vary widely with clinically important consequences. Areas covered: We review the available literature identifying factors correlated with pharmacokinetic variability of antituberculosis drugs. Based on population pharmacokinetic models and the weight, height, and sex distributions in a large data base of African tuberculosis patients, we propose simplified weight-based doses of the available fixed dose combination(FDC) for adults with drug susceptible tuberculosis. Emerging studies will support optimized weight-based dosing for children. Other sources of important pharmacokinetic variability include genetic variants, drug-drug interactions, formulation quality, and methods of preparation and administration. Expert commentary: Optimized weight band-based dosing will result in more equitable distribution of drug exposures by weight. The use of high doses of isoniazid in patients with drug-resistant tuberculosis would be safer and more effective if a feasible test was developed to allow stratified dosing according to acetylator type. There is an urgent need for more suitable formulations of many second-line drugs for children. The adoption of new technologies and efficient FDC design may allow further advances for patients and treatment programs. Lastly, current efforts to ensure adequate quality of antituberculosis drug products are not preventing the use of substandard products to treat patients with tuberculosis.
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Affiliation(s)
- Helen McIlleron
- a Division of Clinical Pharmacology, Department of Medicine , University of Cape Town , Cape Town , South Africa
| | - Maxwell T Chirehwa
- a Division of Clinical Pharmacology, Department of Medicine , University of Cape Town , Cape Town , South Africa
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29
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Srivastava S, Deshpande D, Magombedze G, Gumbo T. Efficacy Versus Hepatotoxicity of High-dose Rifampin, Pyrazinamide, and Moxifloxacin to Shorten Tuberculosis Therapy Duration: There Is Still Fight in the Old Warriors Yet! Clin Infect Dis 2018; 67:S359-S364. [PMID: 30496465 PMCID: PMC6260156 DOI: 10.1093/cid/ciy627] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Background One approach that could increase the efficacy and reduce the duration of antituberculosis therapy is pharmacokinetics/pharmacodynamics-based optimization of doses. However, this could increase toxicity. Methods We mimicked the concentration-time profiles achieved by human equivalent doses of moxifloxacin 800 mg/day, rifampin 1800 mg/day, and pyrazinamide 4000 mg/day (high-dose regimen) vs isoniazid 300 mg/day, rifampin 600 mg/day, and pyrazinamide 2000 mg/day (standard therapy) in bactericidal and sterilizing effect studies in the hollow fiber system model of tuberculosis (HFS-TB). In an intracellular Mycobacterium tuberculosis (Mtb) HFS-TB experiment, we added a 3-dimensional human organotypic liver to determine potential hepatotoxicity of the high-dose regimen, based on lactate dehydrogenase (LDH). Treatment lasted 28 days and Mtb bacterial burden was based on colony counts. We calculated the time to extinction (TTE) of the Mtb population in the HFS-TB and used morphism-based transformation and Latin hypercube sampling to identify the minimum therapy duration in patients. Results The kill rate of standard therapy in the bactericidal effect and sterilizing effect experiments were 0.97 (95% confidence interval [CI], .91-.99) log10 colony-forming units (CFU)/mL/day, and 0.56 (95% CI, .49-.59) log10 CFU/mL/day, respectively. The high-dose regimen's bactericidal and sterilizing effect kill rates were 0.99 (95% CI, .96-.99) log10 CFU/mL/day and 0.72 (95% CI, .56-.79) log10 CFU/mL/day, respectively. The upper confidence bound for TTE in patients was 4.5-5 months for standard therapy vs 3.7 months on the high-dose regimen. There were no differences in LDH concentrations between the 2 regimens at any time point (P > .05). Conclusions The high-dose regimen may moderately shorten therapy without increased hepatotoxicity compared to standard therapy.
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Affiliation(s)
- Shashikant Srivastava
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Devyani Deshpande
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Gesham Magombedze
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Tawanda Gumbo
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
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30
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Pasipanodya JG, Smythe W, Merle CS, Olliaro PL, Deshpande D, Magombedze G, McIlleron H, Gumbo T. Artificial intelligence-derived 3-Way Concentration-dependent Antagonism of Gatifloxacin, Pyrazinamide, and Rifampicin During Treatment of Pulmonary Tuberculosis. Clin Infect Dis 2018; 67:S284-S292. [PMID: 30496458 PMCID: PMC6904294 DOI: 10.1093/cid/ciy610] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
Background In the experimental arm of the OFLOTUB trial, gatifloxacin replaced ethambutol in the standard 4-month regimen for drug-susceptible pulmonary tuberculosis. The study included a nested pharmacokinetic (PK) study. We sought to determine if PK variability played a role in patient outcomes. Methods Patients recruited in the trial were followed for 24 months, and relapse ascertained using spoligotyping. Blood was drawn for drug concentrations on 2 separate days during the first 2 months of therapy, and compartmental PK analyses was performed. Failure to attain sustained sputum culture conversion at the end of treatment, relapse, or death during follow-up defined therapy failure. In addition to standard statistical analyses, we utilized an ensemble of machine-learning methods to identify patterns and predictors of therapy failure from among 27 clinical and laboratory features. Results Of 126 patients, 95 (75%) had favorable outcomes and 19 (15%) failed therapy, relapsed, or died. Pyrazinamide and rifampicin peak concentrations and area under the concentration-time curves (AUCs) were ranked higher (more important) than gatifloxacin AUCs. The distribution of individual drug concentrations and their ranking varied significantly between South African and West African trial sites; however, drug concentrations still accounted for 31% and 75% of variance of outcomes, respectively. We identified a 3-way antagonistic interaction of pyrazinamide, gatifloxacin, and rifampicin concentrations. These negative interactions disappeared if rifampicin peak concentration was above 7 mg/L. Conclusions Concentration-dependent antagonism contributed to death, relapse, and therapy failure but was abrogated by high rifampicin concentrations. Therefore, increasing both rifampin and gatifloxacin doses could improve outcomes. Clinical Trials Registration NCT00216385.
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Affiliation(s)
- Jotam G Pasipanodya
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Wynand Smythe
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, South Africa
| | - Corinne S Merle
- Faculty of Epidemiology and Population Health, Tropical Epidemiology Group, London School of Hygiene and Tropical Medicine, United Kingdom
- Special Programme on Research and Training in Tropical Diseases, World Health Organization, Geneva, Switzerland
| | - Piero L Olliaro
- Special Programme on Research and Training in Tropical Diseases, World Health Organization, Geneva, Switzerland
| | - Devyani Deshpande
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Gesham Magombedze
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Helen McIlleron
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, South Africa
| | - Tawanda Gumbo
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
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Deshpande D, Pasipanodya JG, Mpagama SG, Srivastava S, Bendet P, Koeuth T, Lee PS, Heysell SK, Gumbo T. Ethionamide Pharmacokinetics/Pharmacodynamics-derived Dose, the Role of MICs in Clinical Outcome, and the Resistance Arrow of Time in Multidrug-resistant Tuberculosis. Clin Infect Dis 2018; 67:S317-S326. [PMID: 30496457 PMCID: PMC6260165 DOI: 10.1093/cid/ciy609] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
Background Ethionamide is used to treat multidrug-resistant tuberculosis (MDR-TB). The antimicrobial pharmacokinetics/pharmacodynamics, the contribution of ethionamide to the multidrug regimen, and events that lead to acquired drug resistance (ADR) are unclear. Methods We performed a multidose hollow fiber system model of tuberculosis (HFS-TB) study to identify the 0-24 hour area under the concentration-time curve (AUC0-24) to minimum inhibitory concentration (MIC) ratios that achieved maximal kill and ADR suppression, defined as target exposures. Ethionamide-resistant isolates underwent whole-genome and targeted Sanger sequencing. We utilized Monte Carlo experiments (MCEs) to identify ethionamide doses that would achieve the target exposures in 10000 patients with pulmonary tuberculosis. We also identified predictors of time-to-sputum conversion in Tanzanian patients on ethionamide- and levofloxacin-based regimens using multivariate adaptive regression splines (MARS). Results An AUC0-24/MIC >56.2 was identified as the target exposure in the HFS-TB. Early efflux pump induction to ethionamide monotherapy led to simultaneous ethambutol and isoniazid ADR, which abrogated microbial kill of an isoniazid-ethambutol-ethionamide regimen. Genome sequencing of isolates that arose during ethionamide monotherapy revealed mutations in both ethA and embA. In MCEs, 20 mg/kg/day achieved the AUC0-24/MIC >56.2 in >95% of patients, provided the Sensititre assay MIC was <2.5 mg/L. In the clinic, MARS revealed that ethionamide Sensititre MIC had linear negative relationships with time-to-sputum conversion until an MIC of 2.5 mg/L, above which patients with MDR-TB failed combination therapy. Conclusions Ethionamide is an important contributor to MDR-TB treatment regimens, at Sensititre MIC <2.5 mg/L. Suboptimal ethionamide exposures led to efflux pump-mediated ADR.
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Affiliation(s)
- Devyani Deshpande
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Jotam G Pasipanodya
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | | | - Shashikant Srivastava
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Paula Bendet
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Thearith Koeuth
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Pooi S Lee
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Scott K Heysell
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville
| | - Tawanda Gumbo
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
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Magombedze G, Pasipanodya JG, Srivastava S, Deshpande D, Visser ME, Chigutsa E, McIlleron H, Gumbo T. Transformation Morphisms and Time-to-Extinction Analysis That Map Therapy Duration From Preclinical Models to Patients With Tuberculosis: Translating From Apples to Oranges. Clin Infect Dis 2018; 67:S349-S358. [PMID: 30496464 PMCID: PMC6260172 DOI: 10.1093/cid/ciy623] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Background A major challenge in medicine is translation of preclinical model findings to humans, especially therapy duration. One major example is recent shorter-duration therapy regimen failures in tuberculosis. Methods We used set theory mapping to develop a computational/modeling framework to map the time it takes to extinguish the Mycobacterium tuberculosis population on chemotherapy from multiple hollow fiber system model of tuberculosis (HFS-TB) experiments to that observed in patients. The predictive accuracy of the derived translation transformations was then tested using data from 108 HFS-TB Rapid Evaluation of Moxifloxacin in Tuberculosis (REMoxTB) units, including 756 colony-forming units (CFU)/mL. Derived transformations, and Latin hypercube sampling-guided simulations were used to predict cure and relapse after 4 and 6 months of therapy. Outcomes were compared to observations, in 1932 patients in the REMoxTB clinical trial. Results HFS-TB serial bacillary burden and serial sputum data in the derivation dataset formed a structure-preserving map. Bactericidal effect was mapped with a single step transformation, while the sterilizing effect was mapped with a 3-step transformation function. Using the HFS-TB REMoxTB data, we accurately predicted the proportion of patients cured in the 4-month REMoxTB clinical trial. Model-predicted vs clinical trial observations were (i) the ethambutol arm (77.0% [95% confidence interval {CI}, 74.4%-79.6%] vs 77.7% [95% CI, 74.3%-80.9%]) and (ii) the isoniazid arm (76.4% [95% CI, 73.9%-79.0%] vs 79.5% [95% CI, 76.1%-82.5%]). Conclusions We developed a method to translate duration of therapy outcomes from preclinical models to tuberculosis patients.
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Affiliation(s)
- Gesham Magombedze
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Dallas, Texas
| | - Jotam G Pasipanodya
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Dallas, Texas
| | - Shashikant Srivastava
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Dallas, Texas
| | - Devyani Deshpande
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Dallas, Texas
| | - Marianne E Visser
- Division of Pharmacology, Department of Medicine, University of Cape Town, Observatory, South Africa
| | - Emmanuel Chigutsa
- Division of Pharmacology, Department of Medicine, University of Cape Town, Observatory, South Africa
| | - Helen McIlleron
- Division of Pharmacology, Department of Medicine, University of Cape Town, Observatory, South Africa
| | - Tawanda Gumbo
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Dallas, Texas
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Effect of Diabetes Mellitus on the Pharmacokinetics and Pharmacodynamics of Tuberculosis Treatment. Antimicrob Agents Chemother 2018; 62:AAC.01383-18. [PMID: 30126955 DOI: 10.1128/aac.01383-18] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Accepted: 08/09/2018] [Indexed: 01/03/2023] Open
Abstract
Diabetes mellitus (DM) and tuberculosis (TB) are two common diseases with increasing geographic overlap and clinical interactions. The effect of DM and hemoglobin A1c (HbA1c) values on the pharmacokinetics (PK) and pharmacodynamics (PD) of anti-TB drugs remains poorly characterized. Newly diagnosed TB patients with and without DM starting fixed-dose, thrice-weekly treatment underwent sampling for PK assessments (predose and 0.5, 2, and 6 h postdose) during the intensive and continuation phases of treatment. The effect of DM and HbA1c values on the maximum concentration (C max) of rifampin, isoniazid, and pyrazinamide and the association between drug concentrations and microbiologic and clinical outcomes were assessed. Of 243 patients, 101 had DM. Univariate analysis showed significant reductions in the C max of pyrazinamide and isoniazid (but not rifampin) with DM or increasing HbA1c values. After adjusting for age, sex, and weight, DM was associated only with reduced pyrazinamide concentrations (adjusted geometric mean ratio = 0.74, P = 0.03). In adjusted Cox models, female gender (adjusted hazards ratio [aHR] = 1.75, P = 0.001), a lower smear grade with the Xpert assay (aHR = 1.40, P < 0.001), and the pyrazinamide C max (aHR = 0.99, P = 0.006) were independent predictors of sputum culture conversion to negative. Higher isoniazid or rifampin concentrations were associated with a faster time to culture conversion in patients with DM only. A pyrazinamide C max above the therapeutic target was associated with higher unfavorable outcomes (treatment failure, relapse, death) (odds ratio = 1.92, P = 0.04). DM and higher HbA1c values increased the risk of not achieving therapeutic targets for pyrazinamide (but not rifampin or isoniazid). Higher pyrazinamide concentrations, though, were associated with worse microbiologic and clinical outcomes. DM status also appeared to influence PK-PD relationships for isoniazid and rifampin.
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Sekaggya-Wiltshire C, von Braun A, Lamorde M, Ledergerber B, Buzibye A, Henning L, Musaazi J, Gutteck U, Denti P, de Kock M, Jetter A, Byakika-Kibwika P, Eberhard N, Matovu J, Joloba M, Muller D, Manabe YC, Kamya MR, Corti N, Kambugu A, Castelnuovo B, Fehr JS. Delayed Sputum Culture Conversion in Tuberculosis-Human Immunodeficiency Virus-Coinfected Patients With Low Isoniazid and Rifampicin Concentrations. Clin Infect Dis 2018; 67:708-716. [PMID: 29514175 PMCID: PMC6094003 DOI: 10.1093/cid/ciy179] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2017] [Accepted: 03/01/2018] [Indexed: 01/23/2023] Open
Abstract
Background The relationship between concentrations of antituberculosis drugs, sputum culture conversion, and treatment outcome remains unclear. We sought to determine the association between antituberculosis drug concentrations and sputum conversion among patients coinfected with tuberculosis and human immunodeficiency virus (HIV) and receiving first-line antituberculosis drugs. Methods We enrolled HIV-infected Ugandans with pulmonary tuberculosis. Estimation of first-line antituberculosis drug concentrations was performed 1, 2, and 4 hours after drug intake at 2, 8, and 24 weeks of tuberculosis treatment. Serial sputum cultures were performed at each visit. Time-to-event analysis was used to determine factors associated with sputum culture conversion. Results We enrolled 268 HIV-infected patients. Patients with low isoniazid and rifampicin concentrations were less likely to have sputum culture conversion before the end of tuberculosis treatment (hazard ratio, 0.54; 95% confidence interval, .37-.77; P = .001) or by the end of follow-up (0.61; .44-.85; P = .003). Patients in the highest quartile for area under the rifampicin and isoniazid concentration-time curves for were twice as likely to experience sputum conversion than those in the lowest quartile. Rifampicin and isoniazid concentrations below the thresholds and weight <55 kg were both risk factors for unfavorable tuberculosis treatment outcomes. Only 4.4% of the participants had treatment failure. Conclusion Although low antituberculosis drug concentrations did not translate to a high proportion of patients with treatment failure, the association between low concentrations of rifampicin and isoniazid and delayed culture conversion may have implications for tuberculosis transmission. Clinical Trials Registration: NCT01782950.
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Affiliation(s)
| | - Amrei von Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Mohammed Lamorde
- Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Bruno Ledergerber
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Allan Buzibye
- Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Lars Henning
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland
- Division of Tropical Health and Medicine, James Cook University, Queensland, Australia
| | - Joseph Musaazi
- Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Ursula Gutteck
- Department of Clinical Chemistry, University Hospital Zurich, University of Zurich, Switzerland
| | - Paolo Denti
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, South Africa
| | - Miné de Kock
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, South Africa
| | - Alexander Jetter
- Department of Clinical Pharmacology and Toxicology, University Hospital Zurich, University of Zurich, Switzerland
| | - Pauline Byakika-Kibwika
- Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda
- School of Medicine, Makerere University, Kampala, Uganda
| | - Nadia Eberhard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Joshua Matovu
- Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Moses Joloba
- School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Daniel Muller
- Department of Clinical Chemistry, University Hospital Zurich, University of Zurich, Switzerland
| | - Yukari C Manabe
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore
| | - Moses R Kamya
- School of Medicine, Makerere University, Kampala, Uganda
| | - Natascia Corti
- Department of Clinical Pharmacology and Toxicology, University Hospital Zurich, University of Zurich, Switzerland
| | - Andrew Kambugu
- Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Barbara Castelnuovo
- Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Jan S Fehr
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland
- Department of Public Health at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland
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Deshpande D, Srivastava S, Bendet P, Martin KR, Cirrincione KN, Lee PS, Pasipanodya JG, Dheda K, Gumbo T. Antibacterial and Sterilizing Effect of Benzylpenicillin in Tuberculosis. Antimicrob Agents Chemother 2018; 62:e02232-17. [PMID: 29180526 PMCID: PMC5786797 DOI: 10.1128/aac.02232-17] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2017] [Accepted: 11/21/2017] [Indexed: 01/10/2023] Open
Abstract
The modern chemotherapy era started with Fleming's discovery of benzylpenicillin. He demonstrated that benzylpenicillin did not kill Mycobacterium tuberculosis In this study, we found that >64 mg/liter of static benzylpenicillin concentrations killed 1.16 to 1.43 log10 CFU/ml below starting inoculum of extracellular and intracellular M. tuberculosis over 7 days. When we added the β-lactamase inhibitor avibactam, benzylpenicillin maximal kill (Emax) of extracellular log-phase-growth M. tuberculosis was 6.80 ± 0.45 log10 CFU/ml at a 50% effective concentration (EC50) of 15.11 ± 2.31 mg/liter, while for intracellular M. tuberculosis it was 2.42 ± 0.14 log10 CFU/ml at an EC50 of 6.70 ± 0.56 mg/liter. The median penicillin (plus avibactam) MIC against South African clinical M. tuberculosis strains (80% either multidrug or extensively drug resistant) was 2 mg/liter. We mimicked human-like benzylpenicillin and avibactam concentration-time profiles in the hollow-fiber model of tuberculosis (HFS-TB). The percent time above the MIC was linked to effect, with an optimal exposure of ≥65%. At optimal exposure in the HFS-TB, the bactericidal activity in log-phase-growth M. tuberculosis was 1.44 log10 CFU/ml/day, while 3.28 log10 CFU/ml of intracellular M. tuberculosis was killed over 3 weeks. In an 8-week HFS-TB study of nonreplicating persistent M. tuberculosis, penicillin-avibactam alone and the drug combination of isoniazid, rifampin, and pyrazinamide both killed >7.0 log10 CFU/ml. Monte Carlo simulations of 10,000 preterm infants with disseminated disease identified an optimal dose of 10,000 U/kg (of body weight)/h, while for pregnant women or nonpregnant adults with pulmonary tuberculosis the optimal dose was 25,000 U/kg/h, by continuous intravenous infusion. Penicillin-avibactam should be examined for effect in pregnant women and infants with drug-resistant tuberculosis, to replace injectable ototoxic and teratogenic second-line drugs.
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Affiliation(s)
- Devyani Deshpande
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas, USA
| | - Shashikant Srivastava
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas, USA
| | - Paula Bendet
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas, USA
| | - Katherine R Martin
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas, USA
| | - Kayle N Cirrincione
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas, USA
| | - Pooi S Lee
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas, USA
| | - Jotam G Pasipanodya
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas, USA
| | - Keertan Dheda
- Lung Infection and Immunity Unit, Division of Pulmonology and UCT Lung Institute, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Tawanda Gumbo
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas, USA
- Lung Infection and Immunity Unit, Division of Pulmonology and UCT Lung Institute, Department of Medicine, University of Cape Town, Cape Town, South Africa
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Deshpande D, Srivastava S, Gumbo T. A programme to create short-course chemotherapy for pulmonary Mycobacterium avium disease based on pharmacokinetics/pharmacodynamics and mathematical forecasting. J Antimicrob Chemother 2018; 72:i54-i60. [PMID: 28922811 DOI: 10.1093/jac/dkx309] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Objectives Pulmonary Mycobacterium avium complex (MAC) prevalence is on the rise worldwide. The average therapy duration is 1.5 years, which is associated with poor cure rates. Our objective was to develop a programme to design a combination therapy regimen for pulmonary MAC to be administered for 6 months or less with efficacy in > 90% of patients. Methods We performed a literature search for the following MeSH headings 'Mycobacterium avium' AND 'pharmacokinetics/pharmacodynamics' in PubMed up to 2016. The findings were then used to identify steps in the programme to design new regimens with faster microbial kill rates than the current standard regimen. Results First, we designed a strategy for rapid in vitro screening of all antibiotic classes for repurposing against pulmonary MAC. Secondly, we identified and compared maximal microbial kill rates (Emax), and optimal exposures of eight different antibiotics. These studies had all been performed in the hollow-fibre system model of pulmonary MAC (HFS-MAC). Thirdly, all drugs with a high Emax at clinically achievable optimal exposures will be chosen, and exposures associated with synergy or additivity for two/three drugs identified based on Bliss independence. Fourthly, the time-kill slopes and resistance suppression of the chosen combinations will be compared with those of standard combination therapy in the HFS-MAC. Finally, we will identify the clinical doses best able to achieve synergistic or additive combination exposures by taking into account pharmacokinetic variability. Conclusions Our stepwise pharmacokinetics/pharmacodynamics approach provides a scientific rationale and a strategy for achieving short-course chemotherapy for pulmonary MAC disease within a few years.
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Affiliation(s)
- Devyani Deshpande
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, TX, USA
| | - Shashikant Srivastava
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, TX, USA
| | - Tawanda Gumbo
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, TX, USA
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The utility of pharmacokinetic studies for the evaluation of exposure-response relationships for standard dose anti-tuberculosis drugs. Tuberculosis (Edinb) 2017. [PMID: 29523331 DOI: 10.1016/j.tube.2017.11.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Tuberculosis (TB) is a major public health problem. Many countries still fall below the minimum World Health Organization (WHO) TB treatment target success rate. There is conflicting evidence about whether concentrations of anti-tuberculosis drugs given at standard doses have an effect on treatment outcomes. The current data correlating anti-TB drug concentrations and treatment outcome is limited. This article summarized the existing literature and their utility in evaluating the association between each anti-TB drug's concentrations using current target concentrations and treatment outcomes in patients with pulmonary tuberculosis receiving standard WHO-recommended dosing.
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Cokol M, Kuru N, Bicak E, Larkins-Ford J, Aldridge BB. Efficient measurement and factorization of high-order drug interactions in Mycobacterium tuberculosis. SCIENCE ADVANCES 2017; 3:e1701881. [PMID: 29026882 PMCID: PMC5636204 DOI: 10.1126/sciadv.1701881] [Citation(s) in RCA: 83] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Accepted: 09/19/2017] [Indexed: 05/03/2023]
Abstract
Combinations of three or more drugs are used to treat many diseases, including tuberculosis. Thus, it is important to understand how synergistic or antagonistic drug interactions affect the efficacy of combination therapies. However, our understanding of high-order drug interactions is limited because of the lack of both efficient measurement methods and theoretical framework for analysis and interpretation. We developed an efficient experimental sampling and scoring method [diagonal measurement of n-way drug interactions (DiaMOND)] to measure drug interactions for combinations of any number of drugs. DiaMOND provides an efficient alternative to checkerboard assays, which are commonly used to measure drug interactions. We established a geometric framework to factorize high-order drug interactions into lower-order components, thereby establishing a road map of how to use lower-order measurements to predict high-order interactions. Our framework is a generalized Loewe additivity model for high-order drug interactions. Using DiaMOND, we identified and analyzed synergistic and antagonistic antibiotic combinations against Mycobacteriumtuberculosis. Efficient measurement and factorization of high-order drug interactions by DiaMOND are broadly applicable to other cell types and disease models.
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Affiliation(s)
- Murat Cokol
- Department of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA 02111, USA
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA 02115, USA
- Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, Turkey
- Corresponding author. (M.C.); (B.B.A.)
| | - Nurdan Kuru
- Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, Turkey
| | - Ece Bicak
- Master of Science Program in Biotechnology, Brandeis University, Waltham, MA 02453, USA
| | - Jonah Larkins-Ford
- Department of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA 02111, USA
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA 02115, USA
- Sackler School of Graduate Biomedical Sciences, Tufts University School of Medicine, Boston, MA 02111, USA
| | - Bree B. Aldridge
- Department of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA 02111, USA
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA 02115, USA
- Department of Biomedical Engineering, Tufts University School of Engineering, Medford, MA 02155, USA
- Corresponding author. (M.C.); (B.B.A.)
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Rockwood N, Sirgel F, Streicher E, Warren R, Meintjes G, Wilkinson RJ. Low Frequency of Acquired Isoniazid and Rifampicin Resistance in Rifampicin-Susceptible Pulmonary Tuberculosis in a Setting of High HIV-1 Infection and Tuberculosis Coprevalence. J Infect Dis 2017; 216:632-640. [PMID: 28934422 PMCID: PMC5815623 DOI: 10.1093/infdis/jix337] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Accepted: 07/14/2017] [Indexed: 02/03/2023] Open
Abstract
Background We estimated the incidence of acquired isoniazid and rifampicin resistance in rifampicin-susceptible tuberculosis in a setting of high human immunodeficiency virus type 1 (HIV-1) infection and tuberculosis coprevalence. Methods GeneXpert MTB/RIF–confirmed patients with rifampicin-susceptible tuberculosis were recruited at antituberculosis treatment initiation in Khayelitsha, South Africa. Liquid culture and adherence assessment were performed at 2 and 5–6 months. MTBDRplus was performed on mycobacteria-positive cultures to ascertain acquired drug resistance (ADR). Spoligotyping and whole-genome sequencing were performed to ascertain homogeneity between baseline isolates and isolates with ADR. Baseline isolates were retrospectively tested for isoniazid monoresistance. An electronic database review was performed to ascertain tuberculosis recurrences. Results A total of 306 participants (62% with HIV-1 coinfection, of whom 71% received antiretroviral therapy) were recruited. Ascertainment of outcomes was complete for 284 participants. Five acquired a resistant Mycobacterium tuberculosis strain during or subsequent to treatment. One strain was confirmed to have ADR, 2 were confirmed as causing exogenous reinfection, and 2 were unrecoverable for genotyping. Incident ADR was estimated to have ranged from 0.3% (95% confidence interval [CI], .1%–1.9%; 1 of 284 participants) to 1% (95% CI, .2%–3%; 3 of 284 participants). Seventeen of 279 baseline isolates (6.1%; 95% CI, 3.6%–9.6%) had isoniazid monoresistance (13 of 17 had an inhA promoter mutation), but 0 of 17 had amplified resistance. Conclusions Treatment with standardized antituberculosis regimens dosed daily throughout, high uptake of antiretroviral therapy, and low prevalence of isoniazid monoresistance were associated with a low frequency of ADR.
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Affiliation(s)
- Neesha Rockwood
- Department of Medicine, Imperial College.,Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town
| | - Frederick Sirgel
- Faculty of Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Elizabeth Streicher
- Faculty of Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Robin Warren
- Faculty of Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Graeme Meintjes
- Department of Medicine, Imperial College.,Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town
| | - Robert J Wilkinson
- Department of Medicine, Imperial College.,Francis Crick Institute, London, United Kingdom.,Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town
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