The impact of physiological state and environmental stress on bacterial load estimation methodologies for Mycobacterium tuberculosis
When processed in solid or liquid medium, tuberculosis patient samples yield different proportions of a heterogenous bacterial community over the duration of treatment. We aimed to derive a relationship between methodologies for bacterial load determination and assess the effect of the growth phase...
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Published in | Scientific reports Vol. 14; no. 1; pp. 26108 - 8 |
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30.10.2024
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Abstract | When processed in solid or liquid medium, tuberculosis patient samples yield different proportions of a heterogenous bacterial community over the duration of treatment. We aimed to derive a relationship between methodologies for bacterial load determination and assess the effect of the growth phase of the parent culture and its exposure to stress on the results.
Mycobacterium tuberculosis
H37Rv was grown with and without antibiotic (isoniazid or rifampicin) and sampled on day 0, 3, 11 and 21 of growth in broth culture. The bacterial load was estimated by colony counts and the BD BACTEC MGIT system. Linear and nonlinear mixed-effects models were used to describe the relationship between time-to-positivity (TTP) and time-to-growth (TTG) versus colony forming units (CFU), and growth units (GU) versus incubation time in MGIT. For samples with the same CFU, antibiotic-treated and stationary phase cells had a shorter TTP than antibiotic-free controls and early-logarithmic phase cells, respectively. Similarly, stationary phase samples reached higher GUs and had shorter TTG than early-log phase ones. This suggests that there is a population of bacterial cells that can be differentially recovered in liquid medium, giving us insight into the physiological states of the original culture, aiding the interpretation of clinical trial outputs. |
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AbstractList | When processed in solid or liquid medium, tuberculosis patient samples yield different proportions of a heterogenous bacterial community over the duration of treatment. We aimed to derive a relationship between methodologies for bacterial load determination and assess the effect of the growth phase of the parent culture and its exposure to stress on the results.
Mycobacterium tuberculosis
H37Rv was grown with and without antibiotic (isoniazid or rifampicin) and sampled on day 0, 3, 11 and 21 of growth in broth culture. The bacterial load was estimated by colony counts and the BD BACTEC MGIT system. Linear and nonlinear mixed-effects models were used to describe the relationship between time-to-positivity (TTP) and time-to-growth (TTG) versus colony forming units (CFU), and growth units (GU) versus incubation time in MGIT. For samples with the same CFU, antibiotic-treated and stationary phase cells had a shorter TTP than antibiotic-free controls and early-logarithmic phase cells, respectively. Similarly, stationary phase samples reached higher GUs and had shorter TTG than early-log phase ones. This suggests that there is a population of bacterial cells that can be differentially recovered in liquid medium, giving us insight into the physiological states of the original culture, aiding the interpretation of clinical trial outputs. When processed in solid or liquid medium, tuberculosis patient samples yield different proportions of a heterogenous bacterial community over the duration of treatment. We aimed to derive a relationship between methodologies for bacterial load determination and assess the effect of the growth phase of the parent culture and its exposure to stress on the results. Mycobacterium tuberculosis H37Rv was grown with and without antibiotic (isoniazid or rifampicin) and sampled on day 0, 3, 11 and 21 of growth in broth culture. The bacterial load was estimated by colony counts and the BD BACTEC MGIT system. Linear and nonlinear mixed-effects models were used to describe the relationship between time-to-positivity (TTP) and time-to-growth (TTG) versus colony forming units (CFU), and growth units (GU) versus incubation time in MGIT. For samples with the same CFU, antibiotic-treated and stationary phase cells had a shorter TTP than antibiotic-free controls and early-logarithmic phase cells, respectively. Similarly, stationary phase samples reached higher GUs and had shorter TTG than early-log phase ones. This suggests that there is a population of bacterial cells that can be differentially recovered in liquid medium, giving us insight into the physiological states of the original culture, aiding the interpretation of clinical trial outputs.When processed in solid or liquid medium, tuberculosis patient samples yield different proportions of a heterogenous bacterial community over the duration of treatment. We aimed to derive a relationship between methodologies for bacterial load determination and assess the effect of the growth phase of the parent culture and its exposure to stress on the results. Mycobacterium tuberculosis H37Rv was grown with and without antibiotic (isoniazid or rifampicin) and sampled on day 0, 3, 11 and 21 of growth in broth culture. The bacterial load was estimated by colony counts and the BD BACTEC MGIT system. Linear and nonlinear mixed-effects models were used to describe the relationship between time-to-positivity (TTP) and time-to-growth (TTG) versus colony forming units (CFU), and growth units (GU) versus incubation time in MGIT. For samples with the same CFU, antibiotic-treated and stationary phase cells had a shorter TTP than antibiotic-free controls and early-logarithmic phase cells, respectively. Similarly, stationary phase samples reached higher GUs and had shorter TTG than early-log phase ones. This suggests that there is a population of bacterial cells that can be differentially recovered in liquid medium, giving us insight into the physiological states of the original culture, aiding the interpretation of clinical trial outputs. When processed in solid or liquid medium, tuberculosis patient samples yield different proportions of a heterogenous bacterial community over the duration of treatment. We aimed to derive a relationship between methodologies for bacterial load determination and assess the effect of the growth phase of the parent culture and its exposure to stress on the results. Mycobacterium tuberculosis H37Rv was grown with and without antibiotic (isoniazid or rifampicin) and sampled on day 0, 3, 11 and 21 of growth in broth culture. The bacterial load was estimated by colony counts and the BD BACTEC MGIT system. Linear and nonlinear mixed-effects models were used to describe the relationship between time-to-positivity (TTP) and time-to-growth (TTG) versus colony forming units (CFU), and growth units (GU) versus incubation time in MGIT. For samples with the same CFU, antibiotic-treated and stationary phase cells had a shorter TTP than antibiotic-free controls and early-logarithmic phase cells, respectively. Similarly, stationary phase samples reached higher GUs and had shorter TTG than early-log phase ones. This suggests that there is a population of bacterial cells that can be differentially recovered in liquid medium, giving us insight into the physiological states of the original culture, aiding the interpretation of clinical trial outputs. Abstract When processed in solid or liquid medium, tuberculosis patient samples yield different proportions of a heterogenous bacterial community over the duration of treatment. We aimed to derive a relationship between methodologies for bacterial load determination and assess the effect of the growth phase of the parent culture and its exposure to stress on the results. Mycobacterium tuberculosis H37Rv was grown with and without antibiotic (isoniazid or rifampicin) and sampled on day 0, 3, 11 and 21 of growth in broth culture. The bacterial load was estimated by colony counts and the BD BACTEC MGIT system. Linear and nonlinear mixed-effects models were used to describe the relationship between time-to-positivity (TTP) and time-to-growth (TTG) versus colony forming units (CFU), and growth units (GU) versus incubation time in MGIT. For samples with the same CFU, antibiotic-treated and stationary phase cells had a shorter TTP than antibiotic-free controls and early-logarithmic phase cells, respectively. Similarly, stationary phase samples reached higher GUs and had shorter TTG than early-log phase ones. This suggests that there is a population of bacterial cells that can be differentially recovered in liquid medium, giving us insight into the physiological states of the original culture, aiding the interpretation of clinical trial outputs. |
ArticleNumber | 26108 |
Author | Maitra, Arundhati Kloprogge, Frank Denti, Paolo McHugh, Timothy D. Margaryan, Hasmik Wijk, Marie |
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Cites_doi | 10.1126/science.1216166 10.1111/j.1469-0691.2011.03626.x 10.1073/pnas.1705385114 10.1016/j.cmpb.2003.11.003 10.1007/s10096-010-1043-7 10.1186/s12916-017-0955-9 10.1016/j.tube.2011.01.004 10.1038/nrmicro1460 10.1093/jac/dku415 10.1038/ncomms3470 10.1016/j.tube.2013.08.003 10.1093/jac/dkt357 10.1038/psp.2013.24 10.1371/journal.pone.0044582 10.1038/nrmicro3299 10.1111/mmi.12169 10.1038/s41598-021-98176-5 10.1128/9781555819569.ch32 10.1164/rccm.200905-0661OC 10.1007/978-0-387-75936-4 |
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References | SaitoKRifamycin action on RNA polymerase in antibiotic-tolerant Mycobacterium tuberculosis results in differentially detectable populationsProc. Natl. Acad. Sci.2017114E4832E48401:CAS:528:DC%2BC2sXovVSisr4%3D10.1073/pnas.170538511428559332 MukamolovaGVTurapovOMalkinJWoltmannGBarerMRResuscitation-promoting factors reveal an occult population of tubercle bacilli in sputumAm. J. Respir. Crit. Care Med.20101811741801:CAS:528:DC%2BC3cXhvFahu7o%3D10.1164/rccm.200905-0661OC19875686 Dhar, N., McKinney, J. & Manina, G. Phenotypic heterogeneity in Mycobacterium tuberculosis. Tuberc. Tuber. Bacillus 671–697 (2017). Chambers, J. M. Software for data analysis: Programming with R. vol. 2 (Springer, 2008). JindaniAAberVREdwardsEAMitchisonDAThe early bactericidal activity of drugs in patients with pulmonary tuberculosisAm. Rev. Respir. Dis.19801219399491:STN:280:DyaL3M%2FhvFygtw%3D%3D6774638 BarrDAFlow cytometry method for absolute counting and single-cell phenotyping of mycobacteriaSci. Rep.202111186612021NatSR..1118661B1:CAS:528:DC%2BB3MXitFagtrjN10.1038/s41598-021-98176-534545154 Joyce, G. et al. Cell division site placement and asymmetric growth in mycobacteria. (2012). LindbomLRibbingJJonssonENPerl-speaks-NONMEM (PsN)—A Perl module for NONMEM related programmingComput. Methods Programs Biomed.200475859410.1016/j.cmpb.2003.11.00315212851 CaceresNEvolution and role of corded cell aggregation in Mycobacterium tuberculosis culturesTuberculosis2013936906981:CAS:528:DC%2BC3sXhsVKgtbzE10.1016/j.tube.2013.08.00324011631 BownessRThe relationship between Mycobacterium tuberculosis MGIT time to positivity and cfu in sputum samples demonstrates changing bacterial phenotypes potentially reflecting the impact of chemotherapy on critical sub-populationsJ. Antimicrob. Chemother.2015704484551:CAS:528:DC%2BC2MXivFGmtb8%3D10.1093/jac/dku41525344806 AverySVMicrobial cell individuality and the underlying sources of heterogeneityNat. Rev. Microbiol.200645775871:CAS:528:DC%2BD28XmvFamtbs%3D10.1038/nrmicro146016845428 SantiIDharNBousbaineDWakamotoYMcKinneyJDSingle-cell dynamics of the chromosome replication and cell division cycles in mycobacteriaNat. Commun.2013424702013NatCo...4.2470S10.1038/ncomms347024036848 KieserKJRubinEJHow sisters grow apart: Mycobacterial growth and divisionNat. Rev. Microbiol.2014125505621:CAS:528:DC%2BC2cXhtFSlsLnL10.1038/nrmicro3299249987396556109 AldridgeBBAsymmetry and aging of mycobacterial cells lead to variable growth and antibiotic susceptibilityScience20123351001042012Sci...335..100A1:CAS:528:DC%2BC38Xns1Ci10.1126/science.121616622174129 KeizerRJKarlssonMOHookerAModeling and simulation workbench for NONMEM: Tutorial on Pirana, PsN, and XposeCPT Pharmacomet. Syst. Pharmacol.201321910.1038/psp.2013.24 MitchisonDAStrumAWThe measurement of early bactericidal activityBaillières Clin. Infect. Dis.19974185206 SinghBAsymmetric growth and division in M ycobacterium spp.: Compensatory mechanisms for non-medial septaMol. Microbiol.20138864761:CAS:528:DC%2BC3sXksFSqu7g%3D10.1111/mmi.1216923387305 WHO. Global tuberculosis report 2023. (2023). DiaconAHTime to detection of the growth of Mycobacterium tuberculosis in MGIT 960 for determining the early bactericidal activity of antituberculosis agentsEur. J. Clin. Microbiol. Infect. Dis.201029156115651:CAS:528:DC%2BC3cXhsV2gtbzK10.1007/s10096-010-1043-720820832 Boeckmann, A. J., Sheiner, L. B. & Beal, S. L. NONMEM User’s Guide, Part V. Introductory Guide. p 48. (2011). DhillonJFouriePBMitchisonDAPersister populations of Mycobacterium tuberculosis in sputum that grow in liquid but not on solid culture mediaJ. Antimicrob. Chemother.2014694374401:CAS:528:DC%2BC2cXlvFOktQ%3D%3D10.1093/jac/dkt35724072170 DiaconAHTime to liquid culture positivity can substitute for colony counting on agar plates in early bactericidal activity studies of antituberculosis agentsClin. Microbiol. Infect.2012187117171:CAS:528:DC%2BC38XhtFOhtrrL10.1111/j.1469-0691.2011.03626.x21851489 PhillipsPPJA comparison of liquid and solid culture for determining relapse and durable cure in phase III TB trials for new regimensBMC Med.2017151910.1186/s12916-017-0955-9 BarkCMTime to detection of Mycobacterium tuberculosis as an alternative to quantitative culturesTuberculosis2011912572591:STN:280:DC%2BC3MvptVajsw%3D%3D10.1016/j.tube.2011.01.00421353641 K Saito (74318_CR8) 2017; 114 BB Aldridge (74318_CR15) 2012; 335 DA Mitchison (74318_CR3) 1997; 4 L Lindbom (74318_CR23) 2004; 75 R Bowness (74318_CR11) 2015; 70 SV Avery (74318_CR19) 2006; 4 A Jindani (74318_CR2) 1980; 121 PPJ Phillips (74318_CR7) 2017; 15 DA Barr (74318_CR13) 2021; 11 74318_CR20 CM Bark (74318_CR6) 2011; 91 N Caceres (74318_CR12) 2013; 93 74318_CR1 J Dhillon (74318_CR9) 2014; 69 B Singh (74318_CR17) 2013; 88 KJ Kieser (74318_CR14) 2014; 12 74318_CR16 AH Diacon (74318_CR5) 2012; 18 GV Mukamolova (74318_CR10) 2010; 181 74318_CR21 AH Diacon (74318_CR4) 2010; 29 74318_CR24 I Santi (74318_CR18) 2013; 4 RJ Keizer (74318_CR22) 2013; 2 |
References_xml | – reference: Dhar, N., McKinney, J. & Manina, G. Phenotypic heterogeneity in Mycobacterium tuberculosis. Tuberc. Tuber. Bacillus 671–697 (2017). – reference: MukamolovaGVTurapovOMalkinJWoltmannGBarerMRResuscitation-promoting factors reveal an occult population of tubercle bacilli in sputumAm. J. Respir. Crit. Care Med.20101811741801:CAS:528:DC%2BC3cXhvFahu7o%3D10.1164/rccm.200905-0661OC19875686 – reference: WHO. Global tuberculosis report 2023. (2023). – reference: SantiIDharNBousbaineDWakamotoYMcKinneyJDSingle-cell dynamics of the chromosome replication and cell division cycles in mycobacteriaNat. Commun.2013424702013NatCo...4.2470S10.1038/ncomms347024036848 – reference: BarrDAFlow cytometry method for absolute counting and single-cell phenotyping of mycobacteriaSci. Rep.202111186612021NatSR..1118661B1:CAS:528:DC%2BB3MXitFagtrjN10.1038/s41598-021-98176-534545154 – reference: Boeckmann, A. J., Sheiner, L. B. & Beal, S. L. NONMEM User’s Guide, Part V. 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Sci.2017114E4832E48401:CAS:528:DC%2BC2sXovVSisr4%3D10.1073/pnas.170538511428559332 – reference: CaceresNEvolution and role of corded cell aggregation in Mycobacterium tuberculosis culturesTuberculosis2013936906981:CAS:528:DC%2BC3sXhsVKgtbzE10.1016/j.tube.2013.08.00324011631 – reference: DiaconAHTime to liquid culture positivity can substitute for colony counting on agar plates in early bactericidal activity studies of antituberculosis agentsClin. Microbiol. Infect.2012187117171:CAS:528:DC%2BC38XhtFOhtrrL10.1111/j.1469-0691.2011.03626.x21851489 – reference: MitchisonDAStrumAWThe measurement of early bactericidal activityBaillières Clin. Infect. Dis.19974185206 – reference: KeizerRJKarlssonMOHookerAModeling and simulation workbench for NONMEM: Tutorial on Pirana, PsN, and XposeCPT Pharmacomet. Syst. Pharmacol.201321910.1038/psp.2013.24 – reference: SinghBAsymmetric growth and division in M ycobacterium spp.: Compensatory mechanisms for non-medial septaMol. Microbiol.20138864761:CAS:528:DC%2BC3sXksFSqu7g%3D10.1111/mmi.1216923387305 – reference: Joyce, G. et al. Cell division site placement and asymmetric growth in mycobacteria. (2012). – reference: DiaconAHTime to detection of the growth of Mycobacterium tuberculosis in MGIT 960 for determining the early bactericidal activity of antituberculosis agentsEur. J. Clin. Microbiol. Infect. Dis.201029156115651:CAS:528:DC%2BC3cXhsV2gtbzK10.1007/s10096-010-1043-720820832 – reference: BarkCMTime to detection of Mycobacterium tuberculosis as an alternative to quantitative culturesTuberculosis2011912572591:STN:280:DC%2BC3MvptVajsw%3D%3D10.1016/j.tube.2011.01.00421353641 – reference: BownessRThe relationship between Mycobacterium tuberculosis MGIT time to positivity and cfu in sputum samples demonstrates changing bacterial phenotypes potentially reflecting the impact of chemotherapy on critical sub-populationsJ. Antimicrob. 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Snippet | When processed in solid or liquid medium, tuberculosis patient samples yield different proportions of a heterogenous bacterial community over the duration of... Abstract When processed in solid or liquid medium, tuberculosis patient samples yield different proportions of a heterogenous bacterial community over the... |
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SubjectTerms | 631/326/22/1290 631/326/2521 692/308/2778 692/53/2421 692/699/255/1856 Bacterial Load Colony Count, Microbial Early bactericidal activity Humanities and Social Sciences Humans Isoniazid - pharmacology multidisciplinary Mycobacterium tuberculosis - drug effects Mycobacterium tuberculosis - growth & development Mycobacterium tuberculosis - physiology Rifampin - pharmacology Science Science (multidisciplinary) Stress, Physiological Tuberculosis Tuberculosis - drug therapy Tuberculosis - microbiology |
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Title | The impact of physiological state and environmental stress on bacterial load estimation methodologies for Mycobacterium tuberculosis |
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