Diagnostic accuracy of whole-genome sequencing for detecting drug resistance in Mycobacterium tuberculosis: A systematic review
DOI:
https://doi.org/10.5281/zenodo.17795762Keywords:
Drug-resistant tuberculosis, Whole genome sequencing, Diagnostic accuracy, Sensitivity and specificity, Systematic reviewAbstract
Background: Drug-resistant tuberculosis (DR-TB) is a public health crisis. The reference standard for diagnosis, phenotypic drug susceptibility testing (DST), is accurate but takes 6–8 weeks, delaying treatment. Whole-genome sequencing (WGS) emerges as a rapid alternative, but its accuracy versus the reference standard requires rigorous synthesis of primary evidence.
Objective: To evaluate available primary evidence on the diagnostic accuracy of WGS (index test) compared with phenotypic DST (reference test) for detecting drug resistance in clinical Mycobacterium tuberculosis isolates.
Methods: A systematic review was conducted following PRISMA 2020 and QUADAS-2. Systematic searches were run in PubMed/MEDLINE, Embase and LILACS without restrictions. Eligibility focused on primary diagnostic accuracy studies. Sensitivity and specificity data were extracted and critically appraised.
Results: The search identified 20 records. After screening, 19 were excluded (mostly secondary reviews). A single primary study (Enkirch et al., 2020), including 1,248 clinical isolates in Sweden, met criteria. It reported high diagnostic accuracy: for rifampicin, sensitivity 100% and specificity 99.5%; for isoniazid, sensitivity 93.5% and specificity 100%. Risk of bias in the included study was “unclear” in blinding domains.
Conclusion: The identified primary evidence, though limited to one study, corroborates high WGS accuracy for resistance detection. Genotype–phenotype discordance, such as disputed rpoB mutations, and implementation barriers (cost and bioinformatics) appear more significant challenges than the test’s technical accuracy.
Downloads
References
Chen Y, Liu J, Zhang Q, Wang Q, Chai L, Wang Y, et al. Global burden of tuberculosis from 1990 to 2019. Research Square. 2022. doi: 10.21203/rs.3.rs-1572451/v2
Musa BM, Adamu AL, Galadanci NA, Zubayr B, Odoh CN, Aliyu MH. Trends in prevalence of multi drug resistant tuberculosis in sub-Saharan Africa: A systematic review and meta-analysis. PLoS One. 2017;12(9):e0185105. doi: 10.1371/journal.pone.0185105
Chanda E. The clinical profile and outcomes of drug resistant tuberculosis in Central Province of Zambia. BMC Infect Dis. 2024;24(1):364. doi: 10.1186/s12879-024-09238-8
Baya B, Achenbach CJ, Kone B, Toloba Y, Dabitao DK, Diarra B, et al. Clinical risk factors associ- ated with multidrug-resistant tuberculosis (MDR-TB) in Mali. Int J Infect Dis. 2019;81:149-55. doi: 10.1016/j.ijid.2019.02.004
Erkihun M, Kiros T, Berhan A, Ayele B. Multi-drug-resistant tuberculosis and its associated fac- tors among pulmonary tuberculosis patients linked to first-line anti-tuberculosis drugs in north-west Ethiopia. J Med Microbiol. 2023;72(12). doi: 10.1099/jmm.0.001775
Naidoo K, Perumal R, Ngema SL, Shunmugam L, Somboro AM. Rapid diagnosis of drug-resistant tuberculosis-opportunities and challenges. Pathogens. 2023;13(1):27. doi: 10.3390/pathogens13010027
Lee SK, Baek SH, Hong MS, Lee JS, Cho EJ, Lee JI, et al. A rapid assessing method of drug suscep- tibility using flow cytometry for *Mycobacterium tuberculosis* isolates resistant to isoniazid, rifampin, and ethambutol. Tuberc Respir Dis (Seoul). 2022;85(3):264-72. doi: 10.4046/trd.2021.0134
Xu C, Li R, Shewade HD, Jeyashree K, Ruan Y, Zhang C, et al. Attrition and delays before treatment initiation among patients with MDR-TB in China (2006-13): Magnitude and risk factors. PLoS One. 2019;14(4):e0214943. doi: 10.1371/journal.pone.0214943
Zhu J, Forsman LD, Bao Z, Xie Y, Ning Z, Li X, et al. Acquired drug resistance during the turnaround time for drug susceptibility testing impacts outcome of tuberculosis. Research Square. 2021. doi: 10.21203/rs.3.rs-850449/v1
Kania K, Wójcik K, Drożdż K, Klesiewicz K. Utility of rapid molecular assays for detecting multidrug- resistant *Mycobacterium tuberculosis* in extrapulmonary samples. Diagnostics (Basel). 2025;15(9):1113. doi: 10.3390/diagnostics15091113
Papaventsis D, Casali N, Kontsevaya I, Drobniewski F, Cirillo DM, Nikolayevskyy V. Whole genome sequencing of *Mycobacterium tuberculosis* for detection of drug resistance: a systematic review. Clin Microbiol Infect. 2017;23(2):61-8. doi: 10.1016/j.cmi.2016.09.008
Olaru ID, Patel H, Kranzer K, Perera N. Turnaround time of whole genome sequencing for my- cobacterial identification and drug susceptibility testing in routine practice. Clin Microbiol Infect. 2018;24(6):659.e5-659.e7. doi: 10.1016/j.cmi.2017.10.001
Park M, Lalvani A, Satta G, Kon OM. Evaluating the clinical impact of routine whole genome se- quencing in tuberculosis treatment decisions and the issue of isoniazid mono-resistance. BMC Infect Dis. 2022;22(1):349. doi: 10.1186/s12879-022-07329-y
Günther G, Guglielmetti L, Leu C, Lange C, van Leth F, TBnet. Cost and availability of drugs and treatment regimens and availability of drug resistance testing for tuberculosis in Europe. bioRxiv. 2022. doi: 10.1101/2022.02.15.22271006
Carandang THDC, Cunanan DJ, Co GS, Pilapil JD, Garcia JI, Restrepo BI, et al. Diagnostic accu- racy of nanopore sequencing for detecting *Mycobacterium tuberculosis* and drug-resistant strains: a systematic review and meta-analysis. Sci Rep. 2025;15(1):11626. doi: 10.1038/s41598-025-90089-x
Schwab TC, Perrig L, Göller PC, Guebely De la Hoz FF, Lahousse AP, Minder B, et al. Targeted next-generation sequencing to diagnose drug-resistant tuberculosis: a systematic review and meta- analysis. Lancet Infect Dis. 2024;24(10):1162-76. doi: 10.1016/S1473-3099(24)00263-9
Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. Declaración PRISMA 2020: Una guía actualizada para la publicación de revisiones sistemáticas. Rev Esp Cardiol. 2021;74(9):790-9. doi: 10.1016/j.recesp.2021.06.016
Valafar SJ. Systematic review of mutations associated with isoniazid resistance points to continuing evolution and subsequent evasion of molecular detection, and potential for emergence of multidrug re- sistance in clinical strains of *Mycobacterium tuberculosis*. Antimicrob Agents Chemother. 2021;65(3). doi: 10.1128/AAC.02091-20
Xiong XS, Zhang XD, Yan JW, Huang TT, Liu ZZ, Li ZK, et al. Identification of *Mycobacterium tuberculosis* resistance to common antibiotics: An overview of current methods and techniques. Infect Drug Resist. 2024;17:1491-506. doi: 10.2147/IDR.S457308
Chopra KK, Sidiq Z, Hanif M, Dwivedi KK. Advances in the diagnosis of tuberculosis- Jour- ney from smear microscopy to whole genome sequencing. Indian J Tuberc. 2020;67(4S):S61-8. doi: 10.1016/j.ijtb.2020.09.026
Morel F, Jaffré J, Sougakoff W, Aubry A, Véziris N. Place de la biologie moléculaire dans le diagnostic de la tuberculose. Rev Mal Respir. 2020;37(5):412-6. doi: 10.1016/j.rmr.2019.09.004
Machado D, Couto I, Viveiros M. Advances in the molecular diagnosis of tuberculosis: From probes to genomes. Infect Genet Evol. 2019;72:93-112. doi: 10.1016/j.meegid.2018.11.021
MacLean E, Saravu K, Pai M. Diagnosing active tuberculosis in people living with HIV: an ongoing challenge. Curr Opin HIV AIDS. 2019;14(1):46-54. doi: 10.1097/COH.0000000000000512
Lange C, Chesov D, Heyckendorf J, Leung CC, Udwadia Z, Dheda K. Drug-resistant tubercu- losis: An update on disease burden, diagnosis and treatment. Respirology. 2018;23(7):656-73. doi: 10.1111/resp.13304
Tarashi S, Fateh A, Mirsaeidi M, Siadat SD, Vaziri F. Mixed infections in tuberculosis: The missing part in a puzzle. Tuberculosis (Edinb). 2017;107:168-74. doi: 10.1016/j.tube.2017.09.004
Goldman RC. Why are membrane targets discovered by phenotypic screens and genome sequencing in *Mycobacterium tuberculosis*? Tuberculosis (Edinb). 2013;93(6):569-88. doi: 10.1016/j.tube.2013.09.003
Pankhurst LJ, Del Ojo Elias C, Votintseva AA, Walker TM, Cole K, Davies J, et al. Rapid, compre- hensive, and affordable mycobacterial diagnosis with whole-genome sequencing: a prospective study. Lancet Respir Med. 2016;4(1):49-58. doi: 10.1016/s2213-2600(15)00466-x
Truffot-Pernot C, Véziris N, Sougakoff W. Modern diagnosis of tuberculosis. Presse Med. 2006;35(11 Pt 2):1739-46. doi: 10.1016/S0755-4982(06)74892-8
Suzuki K, Tomita M, Kinoshita Y, Yoshida A, Yoshida S, Tsuyuguchi K, et al. Present trends of drug-resistant tuberculosis and how to manage it by mycobacterial laboratories. Rinsho Byori. 2002;50(9):847-52.
Wyplosz B, Truffot-Pernot C, Robert J, Jarlier V, Grosset J. The bacteriology of tuberculosis and non-tuberculosis mycobacterial infections. Rev Mal Respir. 1997;14 Suppl 5:S33-48.
Abe C. Rapid diagnosis of tuberculosis. Kekkaku. 1997;72(12):659-72.
Gupta NK, Ish P. Tuberculosis with discordant drug resistance patterns- A diagnostic dilemma. Indian J Tuberc. 2022;69(1):8-11. doi: 10.1016/j.ijtb.2021.05.003
Mahomed S, Naidoo K, Dookie N, Padayatchi N. Whole genome sequencing for the management of drug-resistant TB in low income high TB burden settings: Challenges and implications. Tuberculosis (Edinb). 2017;107:137-43. doi: 10.1016/j.tube.2017.09.005
Horne DJ, Zifodya JS, Shapiro AE, Church EC, Kreniske JS, Kay AW, et al. Xpert MTB/RIF Ultra assay for pulmonary tuberculosis and rifampicin resistance in adults and adolescents. Cochrane Database Syst Rev. 2025;7(7):CD009593. doi: 10.1002/14651858.CD009593.pub6
Enkirch T, Werngren J, Groenheit R, Alm E, Advani R, Lind Karlberg M, et al. Systematic review of whole-genome sequencing data to predict phenotypic drug resistance and susceptibility in Swedish *Mycobacterium tuberculosis* isolates, 2016 to 2018. Antimicrob Agents Chemother. 2020;64(5). doi: 10.1128/AAC.02550-19
Rigouts L, Gumusboga M, de Rijk WB, Nduwamahoro E, Uwizeye C, de Jong B, et al. Rifampin re- sistance missed in automated liquid culture system for *Mycobacterium tuberculosis* isolates with specific rpoB mutations. J Clin Microbiol. 2013;51(8):2641-5. doi: 10.1128/jcm.02741-12
Miotto P, Tessema B, Tagliani E, Chindelevitch L, Starks AM, Emerson C, et al. A standardised method for interpreting the association between mutations and phenotypic drug resistance in My- cobacterium tuberculosis. Eur Respir J. 2017;50(6):1701354. doi: 10.1183/13993003.01354-2017
He G, Zheng Q, Shi J, Wu L, Huang B, Yang Y. Evaluation of WHO catalog of mutations and five WGS analysis tools for drug resistance prediction of *Mycobacterium tuberculosis* isolates from China. Microbiol Spectr. 2024;12(8):e0334123. doi: 10.1128/spectrum.03341-23
Gröschel MI, Owens M, Freschi L, Vargas R Jr, Marin MG, Phelan J, et al. GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning. Genome Med. 2021;13(1):138. doi: 10.1186/s13073-021-00953-4
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(9):533-45. doi: 10.1038/s41579-019-0214-5
Dookie N, Khan A, Padayatchi N, Naidoo K. Application of next generation sequencing for diagnosis and clinical management of drug-resistant tuberculosis: Updates on recent developments in the field. Front Microbiol. 2022;13:775030. doi: 10.3389/fmicb.2022.775030
Flandrois JP, Lina G, Dumitrescu O. MUBII-TB-DB: a database of mutations associated with antibiotic resistance in *Mycobacterium tuberculosis*. BMC Bioinformatics. 2014;15(1):107. doi: 10.1186/1471-2105-15-107
Qadir M, Faryal R, Khan MT, Khan SA, Zhang S, Li W, et al. Phenotype versus genotype discor- dant rifampicin susceptibility testing in tuberculosis: implications for a diagnostic accuracy. Microbiol Spectr. 2024;12(1):e0163123. doi: 10.1128/spectrum.01631-23
Ng MM, Firth J, Minen M, Torous J. User engagement in mental health apps: A review of measure- ment, reporting, and validity. Psychiatr Serv. 2019;70(7):538-44. doi: 10.1176/appi.ps.201800519
Rivière E, Heupink TH, Ismail N, Dippenaar A, Clarke C, Abebe G, et al. Capacity building for whole genome sequencing of *Mycobacterium tuberculosis* and bioinformatics in high TB burden countries. Brief Bioinform. 2021;22(4). doi: 10.1093/bib/bbaa246
Kozyreva VK, Truong CL, Greninger AL, Crandall J, Mukhopadhyay R, Chaturvedi V. Valida- tion and implementation of Clinical Laboratory Improvements Act-compliant whole-genome se- quencing in the public health microbiology laboratory. J Clin Microbiol. 2017;55(8):2502-20. doi: 10.1128/jcm.00361-17
Cabibbe AM, Spitaleri A, Battaglia S, Colman RE, Suresh A, Uplekar S, et al. Application of targeted next-generation sequencing assay on a portable sequencing platform for culture-free detection of drug- resistant tuberculosis from clinical samples. J Clin Microbiol. 2020;58(10). doi: 10.1128/jcm.00632-20
Brown AC, Bryant JM, Einer-Jensen K, Holdstock J, Houniet DT, Chan JZM, et al. Rapid whole- genome sequencing of *Mycobacterium tuberculosis* isolates directly from clinical samples. J Clin Mi- crobiol. 2015;53(7):2230-7. doi: 10.1128/jcm.00486-15
Doyle RM, Burgess C, Williams R, Gorton R, Booth H, Brown J, et al. Direct whole-genome se- quencing of sputum accurately identifies drug-resistant *Mycobacterium tuberculosis* faster than MGIT culture sequencing. J Clin Microbiol. 2018;56(8). doi: 10.1128/jcm.00666-18
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Monique Suzan Monteiro de Souza, Rafaela Vieira Mota, Gabriella Esper Cury de Araujo, Patricia Jazmín Martínez Gallardo, Rafael Corrêa de Souza, Maria Luján Britez, Nathalia do Rego Barros Araújo Vasconcelos, Júlia Beatriz Nunes da Silva, Gustavo Boostel Menezes de Assis, Rogério Ribeiro, Andrea Paola Britos Gómez (Autor/a)

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Los artículos publicados en la Revista UniNorte de Medicina y Ciencias de la Salud se distribuyen bajo una licencia Creative Commons Reconocimiento 4.0 Internacional (CC BY 4.0).
Esta licencia permite a cualquier usuario copiar, distribuir, adaptar, transformar y construir a partir del material para cualquier propósito, incluso comercial, siempre que se otorgue el crédito adecuado a los autores y a la fuente original de publicación.
Los autores conservan los derechos de autor y otorgan a la revista el derecho de primera publicación.
La reutilización del contenido deberá reconocer la autoría, citar la fuente original e indicar si se han realizado modificaciones.