Cargando…
A Multistrain Mathematical Model To Investigate the Role of Pyrazinamide in the Emergence of Extensively Drug-Resistant Tuberculosis
Several infectious diseases of global importance—e.g., HIV infection and tuberculosis (TB)—require prolonged treatment with combination antimicrobial regimens typically involving high-potency core agents coupled with additional companion drugs that protect against the de novo emergence of mutations...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5328532/ https://www.ncbi.nlm.nih.gov/pubmed/27956422 http://dx.doi.org/10.1128/AAC.00498-16 |
_version_ | 1782510909856415744 |
---|---|
author | Fofana, Mariam O. Shrestha, Sourya Knight, Gwenan M. Cohen, Ted White, Richard G. Cobelens, Frank Dowdy, David W. |
author_facet | Fofana, Mariam O. Shrestha, Sourya Knight, Gwenan M. Cohen, Ted White, Richard G. Cobelens, Frank Dowdy, David W. |
author_sort | Fofana, Mariam O. |
collection | PubMed |
description | Several infectious diseases of global importance—e.g., HIV infection and tuberculosis (TB)—require prolonged treatment with combination antimicrobial regimens typically involving high-potency core agents coupled with additional companion drugs that protect against the de novo emergence of mutations conferring resistance to the core agents. Often, the most effective (or least toxic) companion agents are reused in sequential (first-line, second-line, etc.) regimens. We used a multistrain model of Mycobacterium tuberculosis transmission in Southeast Asia to investigate how this practice might facilitate the emergence of extensive drug resistance, i.e., resistance to multiple core agents. We calibrated this model to regional TB and drug resistance data using an approximate Bayesian computational approach. We report the proportion of data-consistent simulations in which the prevalence of pre-extensively drug-resistant (pre-XDR) TB—defined as resistance to both first-line and second-line core agents (rifampin and fluoroquinolones)—exceeds predefined acceptability thresholds (1 to 2 cases per 100,000 population by 2035). The use of pyrazinamide (the most effective companion agent) in both first-line and second-line regimens increased the proportion of simulations in which the prevalence exceeded the pre-XDR acceptability threshold by 7-fold compared to a scenario in which patients with pyrazinamide-resistant TB received an alternative drug. Model parameters related to the emergence and transmission of pyrazinamide-resistant TB and resistance amplification were among those that were the most strongly correlated with the projected pre-XDR prevalence, indicating that pyrazinamide resistance acquired during first-line treatment subsequently promotes amplification to pre-XDR TB under pyrazinamide-containing second-line treatment. These findings suggest that the appropriate use of companion drugs may be critical to preventing the emergence of strains resistant to multiple core agents. |
format | Online Article Text |
id | pubmed-5328532 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-53285322017-03-09 A Multistrain Mathematical Model To Investigate the Role of Pyrazinamide in the Emergence of Extensively Drug-Resistant Tuberculosis Fofana, Mariam O. Shrestha, Sourya Knight, Gwenan M. Cohen, Ted White, Richard G. Cobelens, Frank Dowdy, David W. Antimicrob Agents Chemother Epidemiology and Surveillance Several infectious diseases of global importance—e.g., HIV infection and tuberculosis (TB)—require prolonged treatment with combination antimicrobial regimens typically involving high-potency core agents coupled with additional companion drugs that protect against the de novo emergence of mutations conferring resistance to the core agents. Often, the most effective (or least toxic) companion agents are reused in sequential (first-line, second-line, etc.) regimens. We used a multistrain model of Mycobacterium tuberculosis transmission in Southeast Asia to investigate how this practice might facilitate the emergence of extensive drug resistance, i.e., resistance to multiple core agents. We calibrated this model to regional TB and drug resistance data using an approximate Bayesian computational approach. We report the proportion of data-consistent simulations in which the prevalence of pre-extensively drug-resistant (pre-XDR) TB—defined as resistance to both first-line and second-line core agents (rifampin and fluoroquinolones)—exceeds predefined acceptability thresholds (1 to 2 cases per 100,000 population by 2035). The use of pyrazinamide (the most effective companion agent) in both first-line and second-line regimens increased the proportion of simulations in which the prevalence exceeded the pre-XDR acceptability threshold by 7-fold compared to a scenario in which patients with pyrazinamide-resistant TB received an alternative drug. Model parameters related to the emergence and transmission of pyrazinamide-resistant TB and resistance amplification were among those that were the most strongly correlated with the projected pre-XDR prevalence, indicating that pyrazinamide resistance acquired during first-line treatment subsequently promotes amplification to pre-XDR TB under pyrazinamide-containing second-line treatment. These findings suggest that the appropriate use of companion drugs may be critical to preventing the emergence of strains resistant to multiple core agents. American Society for Microbiology 2017-02-23 /pmc/articles/PMC5328532/ /pubmed/27956422 http://dx.doi.org/10.1128/AAC.00498-16 Text en Copyright © 2017 Fofana et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Epidemiology and Surveillance Fofana, Mariam O. Shrestha, Sourya Knight, Gwenan M. Cohen, Ted White, Richard G. Cobelens, Frank Dowdy, David W. A Multistrain Mathematical Model To Investigate the Role of Pyrazinamide in the Emergence of Extensively Drug-Resistant Tuberculosis |
title | A Multistrain Mathematical Model To Investigate the Role of Pyrazinamide in the Emergence of Extensively Drug-Resistant Tuberculosis |
title_full | A Multistrain Mathematical Model To Investigate the Role of Pyrazinamide in the Emergence of Extensively Drug-Resistant Tuberculosis |
title_fullStr | A Multistrain Mathematical Model To Investigate the Role of Pyrazinamide in the Emergence of Extensively Drug-Resistant Tuberculosis |
title_full_unstemmed | A Multistrain Mathematical Model To Investigate the Role of Pyrazinamide in the Emergence of Extensively Drug-Resistant Tuberculosis |
title_short | A Multistrain Mathematical Model To Investigate the Role of Pyrazinamide in the Emergence of Extensively Drug-Resistant Tuberculosis |
title_sort | multistrain mathematical model to investigate the role of pyrazinamide in the emergence of extensively drug-resistant tuberculosis |
topic | Epidemiology and Surveillance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5328532/ https://www.ncbi.nlm.nih.gov/pubmed/27956422 http://dx.doi.org/10.1128/AAC.00498-16 |
work_keys_str_mv | AT fofanamariamo amultistrainmathematicalmodeltoinvestigatetheroleofpyrazinamideintheemergenceofextensivelydrugresistanttuberculosis AT shresthasourya amultistrainmathematicalmodeltoinvestigatetheroleofpyrazinamideintheemergenceofextensivelydrugresistanttuberculosis AT knightgwenanm amultistrainmathematicalmodeltoinvestigatetheroleofpyrazinamideintheemergenceofextensivelydrugresistanttuberculosis AT cohented amultistrainmathematicalmodeltoinvestigatetheroleofpyrazinamideintheemergenceofextensivelydrugresistanttuberculosis AT whiterichardg amultistrainmathematicalmodeltoinvestigatetheroleofpyrazinamideintheemergenceofextensivelydrugresistanttuberculosis AT cobelensfrank amultistrainmathematicalmodeltoinvestigatetheroleofpyrazinamideintheemergenceofextensivelydrugresistanttuberculosis AT dowdydavidw amultistrainmathematicalmodeltoinvestigatetheroleofpyrazinamideintheemergenceofextensivelydrugresistanttuberculosis AT fofanamariamo multistrainmathematicalmodeltoinvestigatetheroleofpyrazinamideintheemergenceofextensivelydrugresistanttuberculosis AT shresthasourya multistrainmathematicalmodeltoinvestigatetheroleofpyrazinamideintheemergenceofextensivelydrugresistanttuberculosis AT knightgwenanm multistrainmathematicalmodeltoinvestigatetheroleofpyrazinamideintheemergenceofextensivelydrugresistanttuberculosis AT cohented multistrainmathematicalmodeltoinvestigatetheroleofpyrazinamideintheemergenceofextensivelydrugresistanttuberculosis AT whiterichardg multistrainmathematicalmodeltoinvestigatetheroleofpyrazinamideintheemergenceofextensivelydrugresistanttuberculosis AT cobelensfrank multistrainmathematicalmodeltoinvestigatetheroleofpyrazinamideintheemergenceofextensivelydrugresistanttuberculosis AT dowdydavidw multistrainmathematicalmodeltoinvestigatetheroleofpyrazinamideintheemergenceofextensivelydrugresistanttuberculosis |