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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
Dynamics of antibiotic resistant mycobacterium tuberculosis during long-term infection and antibiotic treatment
PLoS ONE, Volume 6, No. 6, Article e21147, Year 2011
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Description
For an infecting bacterium the human body provides several potential ecological niches with both internally (e.g. host immunity) and externally (e.g. antibiotic use) imposed growth restrictions that are expected to drive adaptive evolution in the bacterium, including the development of antibiotic resistance. To determine the extent and pattern of heterogeneity generated in a bacterial population during long-term antibiotic treatment, we examined in a monoclonal Mycobacterium tuberculosis infection antibiotic resistant mutants isolated from one patient during a 9-years period. There was a progressive accumulation of resistance mutations in the infecting clone. Furthermore, apparent clonal sweeps as well as co-existence of different resistant mutants were observed during this time, demonstrating that during treatment there is a high degree of dynamics in the bacterial population. These findings have important implications for diagnostics and treatment of drug resistant tuberculosis infections. © 2011 Mariam et al.
Available Materials
https://efashare.b-cdn.net/share/pmc/articles/PMC3116863/bin/pone.0021147.s001.docx
https://efashare.b-cdn.net/share/pmc/articles/PMC3116863/bin/pone.0021147.s002.docx
Authors & Co-Authors
Mariam, Solomon H.
Sweden, Solna
Public Health Agency of Sweden
Ethiopia, Addis Ababa
Addis Ababa University
Werngren, Jim
Sweden, Solna
Public Health Agency of Sweden
Aronsson, Joakim
Sweden, Jonkoping
County Hospital Ryhov
Hoffner, Sven Erik
Sweden, Solna
Public Health Agency of Sweden
Andersson, Dan I.
Sweden, Jonkoping
County Hospital Ryhov
Sweden, Uppsala
Uppsala Universitet
Statistics
Citations: 41
Authors: 5
Affiliations: 4
Identifiers
Doi:
10.1371/journal.pone.0021147
e-ISSN:
19326203
Research Areas
Genetics And Genomics
Health System And Policy
Study Design
Cross Sectional Study