Classifying recurrent Mycobacterium tuberculosis cases in Georgia using MIRU-VNTR typing
Autoři:
Nino Maghradze aff001; Levan Jugheli aff001; Sonia Borrell aff001; Nestani Tukvadze aff001; Rusudan Aspindzelashvili aff003; Zaza Avaliani aff003; Klaus Reither aff001; Sebastien Gagneux aff001
Působiště autorů:
Swiss Tropical and Public Health Institute, Basel, Switzerland
aff001; University of Basel, Basel, Switzerland
aff002; National Center for Tuberculosis and Lung Diseases (NCTLD), Tbilisi, Georgia
aff003
Vyšlo v časopise:
PLoS ONE 14(10)
Kategorie:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0223610
Souhrn
Introduction
Recurrent tuberculosis (TB) is one of the main challenges in TB control. Genotyping based on Mycobacterial Interspersed Repetitive Units–Variable Tandem Repeats (MIRU-VNTR) has been widely used to differentiate between relapse and reinfection, which are the two main causes of recurrent TB. There is a lack of data regarding the causes of TB recurrence in Georgia, and while differentiating between relapse and reinfection plays a key role in defining appropriate interventions, the required genotyping methodologies have not been implemented. The objective of this study was to implement MIRU-VNTR genotyping at the National Center for Tuberculosis and Lung Diseases (NCTBLD) and differentiate between relapse and reinfection in multidrug resistant (MDR-) TB patients from Tbilisi, Georgia.
Methods
Recurrent MDR tuberculosis cases from 2014–2016 diagnosed at NCTLD were included in the study when bacterial samples from both episodes were available. Genotyping based on the MIRU-VNTR 24 loci was implemented and used for differentiating between relapse and reinfection. Paired samples showing the same MIRU-VNTR pattern or one locus difference were classified as relapse, while two and more loci differences were treated as reinfection. Exact logistic regression was used to identify predictors of recurrence.
Results
Thirty two MDR-TB patients (64 samples) were included and MIRU-VNTR 24 typing was performed on the corresponding paired samples. Of the 32 patients, 25 (83.3%) were identified as relapse while 5 (16.7%) were due to re-infection. Patients with a history of incarceration were significantly associated with TB reinfection (p< 0.05).
Conclusion
Recurrent TB in MDR patients in Georgia are mainly caused by relapse, raising concerns on the efficacy of the TB control program. An association between incarceration and reinfection likely reflects high levels of ongoing TB transmission in prisons, indicating the need for better TB infection control measures in these settings. Our results add to the rationale for implementing genotypic surveillance of TB more broadly to support TB control in Georgia.
Klíčová slova:
Extensively drug-resistant tuberculosis – Genotyping – Infectious disease control – Multi-drug-resistant tuberculosis – Prisons – Tuberculosis – Tuberculosis diagnosis and management
Zdroje
1. WHO. Global tuberculosis report. World Health Organization; 2018.
2. Williams M, Müller B, Uys P, Victor TC, Warren RM, Gey van Pittius NC. Chapter 9: Tuberculosis recurrence: exogenous or endogenous? In: Antituberculosis Chemotherapy. Donald PR, van Helden PD(eds). Prog Respir Res. Basel, Karger, 2011, vol 40, pp 73–80
3. McIvor A, Koornhof H, Kana BD. Relapse, re-infection and mixed infections in tuberculosis disease. Pathog Dis. 2017;75. doi: 10.1093/femspd/ftx020 28334088
4. Lan NTN, Lien HTK, Tung LB, Borgdorff MW, Kremer K, van Soolingen D. Mycobacterium tuberculosis Beijing Genotype and Risk for Treatment Failure and Relapse, Vietnam. Emerg Infect Dis. 2003;9: 1633–1635. doi: 10.3201/eid0912.030169 14720411
5. Mirsaeidi M, Sadikot RT. Patients at high risk of tuberculosis recurrence Int J Mycobacteriol. 2018 Jan-Mar;7(1):1–6. doi: 10.4103/ijmy.ijmy_164_17 29516879
6. Korhonen V, Smit PW, Haanperä M, Casali N, Ruutu P, Vasankari T, et al. Whole genome analysis of Mycobacterium tuberculosis isolates from recurrent episodes of tuberculosis, Finland, 1995–2013. Clin Microbiol Infect Off Publ Eur Soc Clin Microbiol Infect Dis. 2016;22: 549–554. doi: 10.1016/j.cmi.2016.03.014 27021423
7. Parvaresh L, Crighton T, Martinez E, Bustamante A, Chen S, Sintchenko V. Recurrence of tuberculosis in a low-incidence setting: a retrospective cross-sectional study augmented by whole genome sequencing. BMC Infect Dis. 2018;18. doi: 10.1186/s12879-017-2906-7
8. Dale KD, Globan M, Tay EL, Trauer JM, Trevan PG, Denholm JT. Recurrence of tuberculosis in a low-incidence setting without directly observed treatment: Victoria, Australia, 2002–2014. Int J Tuberc Lung Dis Off J Int Union Tuberc Lung Dis. 2017;21: 550–555. doi: 10.5588/ijtld.16.0651 28399970
9. Uys PW, van Helden PD, Hargrove JW. Tuberculosis reinfection rate as a proportion of total infection rate correlates with the logarithm of the incidence rate: a mathematical model. J R Soc Interface. 2009;6: 11–15. doi: 10.1098/rsif.2008.0184 18577502
10. Unis G, Ribeiro AW, Esteves LS, Spies FS, Picon PD, Dalla Costa ER, et al. Tuberculosis recurrence in a high incidence setting for HIV and tuberculosis in Brazil. BMC Infect Dis. 2014;14: 548. doi: 10.1186/s12879-014-0548-6 25338623
11. Takarinda KC, Harries AD, Srinath S, Mutasa-Apollo T, Sandy C, Mugurungi O. Treatment outcomes of adult patients with recurrent tuberculosis in relation to HIV status in Zimbabwe: a retrospective record review. BMC Public Health. 2012;12: 124. doi: 10.1186/1471-2458-12-124 22329930
12. Interrante JD, Haddad MB, Kim L, Gandhi NR. Exogenous Reinfection as a Cause of Late Recurrent Tuberculosis in the United States. Ann Am Thorac Soc. 2015;12: 1619–1626. doi: 10.1513/AnnalsATS.201507-429OC 26325356
13. World Health Organization. Definitions and reporting framework for tuberculosis. 2013 Dec p. 40. Report No.: WHO/HTM/TB/2013.2.
14. De Almeida IN, Da Silva Carvalho W, Rossetti ML, Costa ERD, De Miranda SS. Evaluation of six different DNA extraction methods for detection of Mycobacterium tuberculosis by means of PCR-IS6110: preliminary study. BMC Res Notes. 2013;6: 561. doi: 10.1186/1756-0500-6-561 24373461
15. Supply P, Allix C, Lesjean S, Cardoso-Oelemann M, Rüsch-Gerdes S, Willery E, et al. Proposal for Standardization of Optimized Mycobacterial Interspersed Repetitive Unit-Variable-Number Tandem Repeat Typing of Mycobacterium tuberculosis. J Clin Microbiol. 2006;44: 4498–4510. doi: 10.1128/JCM.01392-06 17005759
16. Afshar B, Carless J, Roche A, Balasegaram S, Anderson C. Surveillance of tuberculosis (TB) cases attributable to relapse or reinfection in London, 2002–2015. PLOS ONE. 2019;14: e0211972. doi: 10.1371/journal.pone.0211972 30768624
17. Cazabon D, Alsdurf H, Satyanarayana S, Nathavitharana R, Subbaraman R, Daftary A, et al. Quality of tuberculosis care in high burden countries: the urgent need to address gaps in the care cascade. Int J Infect Dis IJID Off Publ Int Soc Infect Dis. 2017;56: 111–116. doi: 10.1016/j.ijid.2016.10.016 27794468
18. Droznin M, Johnson A, Johnson AM. Multidrug resistant tuberculosis in prisons located in former Soviet countries: A systematic review. PLOS ONE. 2017;12: e0174373. doi: 10.1371/journal.pone.0174373 28334036
19. Shamputa IC, Jugheli L, Sadradze N, Willery E, Portaels F, Supply P, et al. Mixed infection and clonal representativeness of a single sputum sample in tuberculosis patients from a penitentiary hospital in Georgia. Respir Res. 2006;7: 99. doi: 10.1186/1465-9921-7-99 16846493
20. Gegia M, Kalandadze I, Madzgharashvili M, Furin J. Developing a human rights-based program for Tuberculosis control in Georgian prisons.Health Hum Rights. 2011 Dec 15;13(2):E73–81. 22773034
21. WHO. WHO treatment guidelines for multidrug and rifampicin-resistant tuberculosis. 2018.
22. Bestrashniy JRBM, Nguyen VN, Nguyen TL, Pham TL, Nguyen TA, Pham DC, et al. Recurrence of tuberculosis among patients following treatment completion in eight provinces of Vietnam: A nested case-control study. Int J Infect Dis. 2018;74: 31–37. doi: 10.1016/j.ijid.2018.06.013 29944930
23. Millet J-P, Shaw E, Orcau A, Casals M, Miró JM, Caylà JA, et al. Tuberculosis recurrence after completion treatment in a European city: reinfection or relapse? PloS One. 2013;8: e64898. doi: 10.1371/journal.pone.0064898 23776440
24. Verver S, Warren RM, Beyers N, Richardson M, van der Spuy GD, Borgdorff MW, et al. Rate of Reinfection Tuberculosis after Successful Treatment Is Higher than Rate of New Tuberculosis. Am J Respir Crit Care Med. 2005;171: 1430–1435. doi: 10.1164/rccm.200409-1200OC 15831840
25. Meehan CJ, Goig GA, Kohl TA, Verboven L, Dippenaar A, Ezewudo M, et al. Whole genome sequencing of Mycobacterium tuberculosis: current standards and open issues. Nat Rev Microbiol. 2019;17: 533–545. doi: 10.1038/s41579-019-0214-5 31209399
26. Wang J-Y, Lee L-N, Lai H-C, Hsu H-L, Liaw Y-S, Hsueh P-R, et al. Prediction of the tuberculosis reinfection proportion from the local incidence. J Infect Dis. 2007;196: 281–288. doi: 10.1086/518898 17570116
27. Caminero JA, Pena MJ, Campos-Herrero MI, Rodríguez JC, Afonso O, Martin C, et al. Exogenous Reinfection with Tuberculosis on a European Island with a Moderate Incidence of Disease. Am J Respir Crit Care Med. 2001;163: 717–720. doi: 10.1164/ajrccm.163.3.2003070 11254530
28. Gadoev J, Asadov D, Harries AD, Parpieva N, Tayler-Smith K, Isaakidis P, et al. Recurrent tuberculosis and associated factors: A five—year countrywide study in Uzbekistan. PLOS ONE. 2017;12: e0176473. doi: 10.1371/journal.pone.0176473 28472053
Článek vyšel v časopise
PLOS One
2019 Číslo 10
- S diagnostikou Parkinsonovy nemoci může nově pomoci AI nástroj pro hodnocení mrkacího reflexu
- Je libo čepici místo mozkového implantátu?
- Pomůže v budoucnu s triáží na pohotovostech umělá inteligence?
- AI může chirurgům poskytnout cenná data i zpětnou vazbu v reálném čase
- Nová metoda odlišení nádorové tkáně může zpřesnit resekci glioblastomů
Nejčtenější v tomto čísle
- Correction: Low dose naltrexone: Effects on medication in rheumatoid and seropositive arthritis. A nationwide register-based controlled quasi-experimental before-after study
- Combining CDK4/6 inhibitors ribociclib and palbociclib with cytotoxic agents does not enhance cytotoxicity
- Experimentally validated simulation of coronary stents considering different dogboning ratios and asymmetric stent positioning
- Risk factors associated with IgA vasculitis with nephritis (Henoch–Schönlein purpura nephritis) progressing to unfavorable outcomes: A meta-analysis
Zvyšte si kvalifikaci online z pohodlí domova
Všechny kurzy