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Ramasamy P, Sounderrajan V, Vijayakumar K. K, Harshavardhan S. Current Perceptionson Advanced Molecular Diagnostics for Drug-Resistant Mycobacterium tuberculosis. Biomed Pharmacol J 2021;14(3).
Manuscript received on :18-08-2020
Manuscript accepted on :03-08-2021
Published online on: 14-08-2021
Plagiarism Check: Yes
Reviewed by: Dr. Shirin Tarafder
Second Review by: Dr. Sudhanshu Abhishek
Final Approval by: Dr. Ian James Martin
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Pushparaju Ramasamy, Vignesh Sounderrajan, Kevin Kumar Vijayakumar and Shakila Harshavardhan*

Department of Molecular Microbiology, School of Biotechnology,Madurai Kamaraj University, Madurai, India, 625021

Corresponding Author E-mail: mohanshakila@yahoo.com

DOI : https://dx.doi.org/10.13005/bpj/2226

Abstract

Globally, rising drug-resistant tuberculosis is a significant public health concern. Prompt diagnosis of tuberculosis and detection of drug-resistant TB within a clinically appropriate timeframe is important for the effective management of the disease. Imaging approaches Chest X-rays, CT, MRI, nuclear medicine technique as PET/CT are non-specific, plays an important role in the diagnosis and assessment of TB, but PET/CT sometimes results in false-positive or negative due to benign lesions.Currently using the point of care molecular modalities, Gene Xpert MTB/RIF and line probe assays focused only on resistance-conferring mutations in specific target hotspot regions, but did not identify novel mutations, outside mutations and they may miss some locally prevalent rifampicin-conferring mutations, and not provided a large number of antibiotics/antibiotic groups that are used for DRTB treatment.Recently revolutionized high throughput next generation sequencing (NGS) technologies are offering new prospects for molecular diagnosis, for example, infectious disease pathogens like tuberculosis, influenza, and most recently SARS-CoV-2. NGS is an essential resource for the tuberculosis communityeither target, WGS, or NGS; a rapid method that offers a complete spectrum of Mycobacterium tuberculosis resistance mutations, strain typing for transmission surveillance, unlike traditional molecular or phenotypic DST. It shall be helpful for early regimen design and TB management before mutations emerge and therefore, we believe that the worldwide TB infection will be eliminated by the use of NGS.

Keywords

Drug Resistant TB; Mycobacterium Tuberculosis; Molecular Diagnosis; Next Generation Sequencing; TB Treatment

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Ramasamy P, Sounderrajan V, Vijayakumar K. K, Harshavardhan S. Current Perceptionson Advanced Molecular Diagnostics for Drug-Resistant Mycobacterium tuberculosis. Biomed Pharmacol J 2021;14(3).
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Ramasamy P, Sounderrajan V, Vijayakumar K. K, Harshavardhan S. Current Perceptionson Advanced Molecular Diagnostics for Drug-Resistant Mycobacterium tuberculosis. Biomed Pharmacol J 2021;14(3). Available from: https://bit.ly/37GFVIh

Introduction

Tuberculosis (TB) is an infectious and insidious disease, its leading cause of significant morbidity and mortality globally. Mycobacterium tuberculosis (MTB) typically affects the lungs and virtually all organs. In 2018, the World Health Organization (WHO) estimated burden of TB disease was 10 million people and India’s highest number of new TB cases accounted for 27 % of the global burden. Besides, there are estimated to be 1.7 billion people living with latent tuberculosis and a potential source of active tuberculosis in the future. The prevalence of multidrug-resistant TB (MDR-TB) and extensively drug-resistant TB (XDR-TB) is increasing worldwide, both among new and previously treated TB cases. Early diagnosis of tuberculosis and detection of drug-resistant TB is important for effective disease management. However, the WHO – End TB Strategy aims at drug susceptibility testing (DST) for WHO-recommended drugs and is essential for any person who has been diagnosed with TB for proper treatment 1.Currently, the molecular diagnostic assays, including the Xpert MTB/RIF (GeneXpert MTB/RIF; Cepheid, Sunnyvale, CA) and line probe assays (GenoType MTBDRplus and MTBDRsl; Hain Lifescience GmbH, Nehren, Germany) can rapidly identify the limited number of mutations in first-line and second-line antibiotic resistance genes 2.These assays have significantly improved the MTBC detection, DST, and supports the results turnaround time than gold-standard phenotypic culture test. Drug-resistant mechanisms are not fully recognized at the current molecular level 3. However, at present none of them, can able to detect the complete spectrum of drug-resistant tuberculosis mutations for appropriately aimed treatment in all forms of TB patients 2.

Next-generation sequencing (NGS) technologies have recently revolutionized the area of medical microbiology and serve as a valuable diagnostic tool for infectious diseases such as tuberculosis, influenza, and most recently SARS-CoV-24.  These new technologies allow the simultaneous sequencing of a large number of biological samples and they can be used for the unbiased identification of infectious diseases and the characterization of multiple agents in a single sample. To date, NGS was used to discover new novel viruses Arenavirus, a new Zika Virus, Ebola Virus, and more recently a widespread novel coronavirus that early in the outbreak5,6.Reports on the use of NGS are more accurate for diagnosis of TB and anti-mycobacterial drug susceptibility with higher sensitivity and specificity than existing routine diagnostic modalities including imaging procedures7, 8. In this review, the challenges of traditional molecular TB diagnosis, and rational genetic approaches to drug resistant prediction with emerging technologies were identified as comprehensive tools which are likely to be Next Generation Sequencing.

Drug Resistance In Tuberculosis

The emergence of drug resistant tuberculosis (DRTB) is a primary global public health concern, which in recent decades has threatened the development in tuberculosis care and prevention 1. Drug-resistant tuberculosis is caused when tubercle bacilli elicit resistance to the anti TB drugs that are commonly used for tuberculosis treatment. DRTB is transmitted in the same manner as drug-sensitive TB, and infection is no more than drug-susceptible TB. Moreover, delay in the early drug resistance detection or long infectious periods may facilitate increased transmission and further into drug resistance development, and this may lead to substantial TB morbidity and mortality9. Prompt diagnosis and treatment with effective drugs are a mainstay of tuberculosis control and a life-saving intervention for tuberculosis patients.Mycobacterium tuberculosis complex (MTBC) develops drug resistance through the selection of naturally occurring genomic mutants. The development of drug-resistant TB is strengthened by two strategies, such as acquired and primary DRTB. The acquired or secondary resistance TB develops during their treatment due to the inadequate treatment regimen, irregular prescription practices, poor quality of medicines with low bioavailability, poor compliance, and other circumstances, such as drug malabsorption or drug-drug interactions leading to low serum concentrations10. Primary antibiotic resistance occurs in persons who have not been treated with TB before and can be infected with a resistant tubercle bacilli and direct transmission of DRTB from one person to another11.

Imaging Techniques for TB Diagnosis

The complex immune response to MTB provides a wide range of clinical manifestations, symptoms may mimic, so the radiological diagnosis of TB remains challenging12. Chest radiography is the primary diagnosis of pulmonary TB, but due to heterogeneous presentation, non-specific X-rays not provide a decisive diagnosis 13. The current, noninvasive techniques, such as ultrasound, computed tomography (CT), and magnetic resonance imaging (MRI) are non-specific and cannot reliably distinguish between infectious lesions and non-infectious diseases such as cancer or autoimmune diseases14, 15. Molecular/anatomic imaging with 18F-labelled fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/computed tomography (CT) scan is a sensitive and non-invasive biomarker tool commonly used for the differentiation of a wide range of malignancies from benign lesions. 18F-FDG-PET/CT is also useful for the TB staging and location of Extrapulmonary TB (EPTB), for the identification of subclinical TB, and for the monitoring of treatment responses to TB 12-16. Nevertheless, inflammatory cells such as activated macrophages, lymphocytes, and neutrophils actively accumulate the tracer 18F-FDG at the site of inflammation or infection16. Some benign lesions, or such as infectious inflammatory granulomatous lesions, specifically tuberculosis and chronic infections, inflammatory pseudotumor, and sarcoidosis, have been found to also be associated with increased uptake of 18F-FDG, resulting in false-positive lung cancer diagnosis in 18F-FDG-PET/CT. However, certain forms of cancer, such as Bronchoalveolar carcinoma and carcinoid tumors, have poor 18F-FDG absorption, which may contribute to false-negative outcomes12, 17. In addition to 18F-FDG, other PET probes have been examined for TB imaging, including [18F] fluoroethylcholine (18F-FEC), 11C-choline, [18F] sodium fluoride (18FNaF), 68Ga-citrate, 30-deoxy-30-[18F]fluoro-L-thymidine (18F-FLT) and radiolabelled anti-TB medicines12.

Conventional Tb Diagnosis

Globally, sputum smear examination by microscopy is the point of care testing and the cornerstone of TB diagnosis. Smear microscopy (SM) is easy to perform, inexpensive, rapid method, and highly important in regions with a high incidence of tuberculosis. However, smear microscopy has more limitations such as it lacks sensitivity, requiring at least 10000 AFB/ml to become smear positive 18. Microbiological confirmation of pediatric TB is less because of the sample collection issues, the low sensitivity of smear examination results, and poor culture accessibility. Extrapulmonary TB (EPTB) is a complex and multifaceted disease that constitutes a significant percentage of the global tuberculosis burden. The initial and precise diagnosis of extrapulmonaryTB remains challenging, especially, the low number of tubercle bacilli present in the tissue and other extrapulmonary samples19,20. Phenotypic diagnostic techniques are still the gold standard method for culture and DST is usually labor-intensive, time-consuming, and requires biosafety measures. Growth based Drug susceptibility testing takes few weeks to fully define Mycobacterium tuberculosis drug resistance profile due to slow mycobacterial growth, and this delays the initiation of patient effective treatment and contributes to the transmission of resistant TB strains. Phenotypic DST relied on the testing of a single, critical concentration (CC) of each antibiotic agent and more possible to miss the emerging low-level drug resistance detection 21.

Molecular Based Assays for Tb Diagnosis:

All molecular tests detect mutations in mycobacterial DNA that are known to cause resistance to a specific anti-TB drug. Molecular methods have significant benefits of increasing programmatic management and monitoring of DRTB, contributing earlier diagnosis, standardized testing, suitable for high throughput locations, and lower laboratory biosafety requirements 22. Unfortunately, currently using molecular tests are the Xpert MTB/RIF and line probe assays including first line and second line probe assay having some difficulties, including inhibitor issues, when the biological samples are used directly 3. Genotypic drug susceptibility testing for first-line drugs is more accurate for rifampicin and isoniazid but less reliable for Pyrazinamide, streptomycin, and Ethambutol23,24.

Gene Xpert Assay

The Xpert MTB/RIF (GeneXpert) is a point of care molecular diagnostic assay, which can rapidly identify the Mycobacterium tuberculosis complex and confer rifampicin resistance (surrogate marker – MDR-TB) by real-time PCR with 5 molecular beacon probes (A to E) that cover the RIF-resistance determining regions of rpoB10. The detection time of rifampicin resistance reduces considerably from 2 to 8 weeks (Culture is the “gold standard” for final determination) to 2 hours. It has a beneficial impact on patients who instantly begin the treatment for MDR tuberculosis25. More than 95% of clinical isolates are rifampicin-resistant MTBC strains having a point mutation within the 81-base pair hot spot region of rpoB gene (codons 507–533) 26,27.Xpert MTB / RIF can also provide a false-positive result for MTB strains to detect rifampicin resistance due to silent mutations or low bacilli load, although this is uncommon 26-28.Sometimes rifampicin-resistant Xpert MTB/RIF result has to be confirmed with a second different test. Besides, the correlation between phenotypic and molecular DST testing is sometimes challenging. For example, MGIT DST tests may miss the low-level RIF resistance, but these are usually detected by Xpert MTB/RIF or Line probe assay. In contrast, Xpert MTB/RIF may miss some locally prevalent rifampicin-conferring mutations that can be detected by MGIT testing 29. In Swaziland, for example, it was pointed out that up to 30% of MDR-TB seemed to have a rifampicin-resistance mutation outside the rifampicin-resistant determining region. Furthermore, this resistance pattern is not detected phenotypically, and therefore only sequencing-based methods enable reliable detection and help in understanding about this mutation 30. Xpert MTB/RIF Ultra (Xpert Ultra) assay is an upgraded version with better MTB identification capabilities and rifampicin resistance detection. Xpert Ultra requires only bacilli detection of limit (LOD) 16 CFU/ml when compared to 131 bacilli/ml for the existing Xpert MTB/RIF cartridge. Additionally, Xpert Ultra includes 2 distinct PCR target genes (IS6110 & IS1081) mutation detection chemistry with a new cartridge design26,28,31.The new Xpert MTB/XDR assay platform can also detect isoniazid, fluoroquinolone, and aminoglycosides resistance  32,33. Xpert XDR might be highly valuable for XDR-TB triaging in high drug-resistant TB settings, allowing for the fluoroquinolone based short regimen.

Line Probe Assay

The GenoType MTBDRplus (First Line –Line probe assay) detects Mycobacterium tuberculosis complex by targeting specific mutations in the rifampicin resistance determining region (RRDR) of the rpoB gene (codon 505 to 533), inhA promoter (-16 to -8 nucleotides upstream of inhA) and the katG (codon 315) regions to identify INH resistance from direct sputum smear-positive samples or indirect culture isolates. The FL-LPA has sensitivity and specificity of 96.7% and 98.8% for rifampicin resistance detection, and 90.2% and 99.2% for isoniazid resistance detection, respectively34. Genotype MTBDRsl (SL-LPA; Second Line –Line probe assay) rapid method detects resistant to fluoroquinolone (FQ) drugs and second-line injectable drugs (SLIDs). SL-LPA includes the quinolone resistance determining region (QRDR) of gyrA gene (codon 85 to 96) and gyrB (codon 536 to 541) genes for the detection of resistance to fluoroquinolones and the rrs gene (position 1401, 1402 and 1484) and the eis promoter region (from -37 to -2 nucleotides upstream) for the detection of resistance to SLID drugs. SL-LPA has  a pooled sensitivity and specificity of 86.2% and 98.6%, respectively, for the detection of FQ resistance by direct testing, and pooled sensitivity and specificity of 87.0% and 99.5%, respectively for the detection of SLIDs resistance34,35. Geographic variation in the frequency of mutations linked with RIF and isoniazid resistance may lead to variable results of line probe assays under multiple epidemiological circumstances. The rpoB gene encoding the β subunit of RNA polymerase showed that the majority of rifampicin resistance globally is due to point mutations. The molecular INH resistance mechanisms in MTBC are still yet to be fully understood. Recent systematic reviews have confirmed the most frequently resistance-conferring mutation regions in phenotypically isoniazid-resistant population in katG315 (64%) and inhA-15 (19%) genes. Regional differences in the prevalence of specific mutations may reduce the molecular test sensitivity rate 36. Whole genome sequencing (WGS) is a valuable technique for the early detection of less common 15% of INH resistance mutations missed by the presently used molecular assay and allows a reduced opportunity of acquired drug resistance and treatment failure 37.

The Geno Type MTBDRsl assay was supported by the WHO as a first direct test for resistance assessment in MDR or mono-resistant rifampicin patients instead of phenotypic susceptibility methods. However, for certain mutations, the precise distinction between phenotype and genotype methods remains unclear, which interprets for this test to be complicated 38. SL-LPA observed that a few synonymous and non-synonymous mutations in the gyrA gene in MTB result in systematic error results (false-resistance) to fluoroquinolones drugs by preventing the binding of wild type (WT) probe. In addition, such mutations are detected explicitly by mutation probes, while others have been only inferred by the absence of amplicons binding to WT probes. However, these mutations are probably rare globally, and they appear in roughly 7% of MDR tuberculosis strains in some places 34,38.Detection of MTB hetero-resistance remains challenging with present molecular-based DRTB assays 39. Conventional growth-based phenotype DST is more capable of detecting drug-resistant and susceptible MTB strains in the sample when compared to the molecular LPA and Sanger sequencing methods, which is not suitable to detect the clinically significant 1% of the resistant population39-41.Heteroresistance tuberculosis is a forerunner for complete resistance in MTB patients, and proper diagnosis is critical for developing and customizing treatment plans for patients 39. Currently, accessible laboratory-based molecular assays do not detect the resistance to new anti-tuberculosis drugs such as linezolid, delamanid, and bedaquiline, which are included in DRTB regimens in India 1 

The new Fluoro-Type (FT) MTBDR automated molecular assay showed high sensitivity, and it detects rifampicin and isoniazid corresponding mutations in the same three target genes namely rpoB, katG, and inhA promoter genes irrespective of sputum smear grades 42.The test can detect both known and unknown mutations within the rpoB gene but does not identify the exact type of mutation. The FT MTBDR testing of tubercle bacilli has high sensitivity to rifampicin resistance detection but has lower sensitivity to INH resistance detection. The True NAT MTB (Molbio Diagnostics, India) novel, real-time PCR based rapid assay can detect TB with good sensitivity and specificity similar to Xpert MTB/RIF. The TrueNAT MTB might be suitable in clinics with a microscopy facility 43,44.

Sequencing

NGS is a high throughput, massive and parallel sequencing, along with bioinformatics, and has become a potential method for the detection, identification, and analysis of human pathogens which provide new insights into virulence, antimicrobial resistance, and disease transmission4, 45. Several studies have highlighted in recent years that using NGS technologies for the identification of viral, bacterial, or eukaryotic pathogens in a wide variety of samples including blood, respiratory, biopsy, liquid biopsy materials, and faeces4,5,46-49.The NGS technologies generate genomic information which allows clinicians to make accurate diagnostic and treatment choices. This NGS platform is also playing an important role in cancer research, for example, breast cancers have historically been diagnosed by physical examination, mammogram, and histology and Genetics was an essential factor in the discovery of BRCA1, BRCA2, and other biomarkers50. There are several NGS methods such as whole genome sequencing (WGS), targeted NGS, and shotgun NGS are frequently used for rapid diagnosis of MTB drug resistance to epidemiological surveillance.WGS is a technique for analyzing the entire sequence of a whole cell genome in a single run to provide more comprehensive genome data and the targeted NGS is faster, generates fewer information, and focuses on the specific genome areas for deeper analysis. Shotgun NGS, is determining the sequence of every chromosome and the entire genome through the generation of random DNA fragments overlapping ends, then a computer for assembling and organizing the fragments overlapping ends into the whole genome51. The findings of a WHO population-based, multi-country study for various NGS platforms (e.g. Illumina,  Ion Torrent) and targeted methods showed that NGS was highly accurate in the diagnosis of MDR-TB or drug-resistant mutations from culture isolates52.

Genome sequencing is a versatile tool with the ability to improve TB infection management through accurate and rapid detection of all clinically significant mutations 52. The feasibility of Whole Genome Sequencing (WGS) based diagnosis of drug-resistant TB can be achieved in high income and low burden TB settings, however, it remains to be assessed in low income and high burden countries 53.Whole Genome Sequencing (WGS) or targeted next generation sequencing (NGS) can offer a comprehensive analysis of MTB drug-resistant mutations for all anti-tuberculosis drugs 54. It can provide MTBC species identification/strain typing, both known and unknown mutation detection, including insertions, deletions, synonymous & non-synonymous mixed infections in a sample and organism evolution prediction unlikely traditional molecular or phenotypic DST 26, 55.  Targeted NGS, i.e. Ion Torrent Personal Genome Machine or Illumina (iSeq100 and MiSeq) platforms as they are the most feasible techniques for rapid analysis of the full-length MTB gene for MDR/XDR TB resistance mutations. Eight full-length genes such as pncA, katG, inhA, rpoB, embB, rpsL, eis and gyrA are frequently amplified and sequenced for panel screening drugs as I & II line anti TB drugs52,55.

NGS of Mycobacterium tuberculosis from a direct sputum sample seems to have the potential to decrease the time in the detection of antimicrobial resistance within a clinically appropriate time framewhich would allow for better patient management and significantly faster than the sequencing of MTB bacilli grown in MGIT tubes or culture-based phenotypic resistance. But NGS can be slower than currently used molecular rapid assays as Gene Xpert, for the detection of drug resistance 2. However, direct genome sequencing of primary clinical samples to provide a complete profile of drug resistance remains a substantial challenge. For a successful sequencing run, the DNA template quality is essential, however, obtaining purified DNA from the MTB is quite difficult due to its high content of protein and lipids in its cell wall which interferes in the quality of the DNA. The selection of the sample, bacterial (cell wall) lysis, genomic DNA extraction procedure, library preparation, and choice of sequencing platform must be carefully considered54.WHO reviewed that WGS performed on direct sputum specimens, gave variable results with a high percentage of contamination of the human genome. Furthermore, it requires more quality and quantity of DNA isolated from MTB positive culture strains to produce valuable sequencing results 36. Recent studies have proven this, new approaches like targeted DNA enrichment used for WGS or NGS can be tested successfully from direct clinical specimens 54. Enrichment systems may play an essential role in ensuring a high-quality sequencing on time to notify the patient management 56.Metagenomic NGS (mNGS) technology has recently been developed, to and the genomic DNA sequences of microorganisms and provides unbiased detection of pathogens from direct clinical samples. This cohort study showed that mNGS (44% sensitivity) had a similar diagnostic potential for MTB compared to Xpert (42% sensitivity) in suspected TB patients, but far higher than conventional ways (29%) and it could be more useful for precious samples such as CSF. Overall, MNGS had a significant advantage over Xpert, traditional approaches and greatly enhanced the etiology diagnosis of MTB pathogen 57. The MinION long-read sequencing platform is portable, pocket-sized and has many advantages, making it suitable for TB surveillance and antibiotic resistance in the near term. This platform is especially useful for remote locations or with limited infrastructure58.  Genetic sequencing costs will be a significant factor in deciding the feasibility of implementation as well as the speed of development. In most settings, the cost of sequencing is gradually reduced and less expensive compared to the expenses of phenotypic DST to first and second-line anti-tuberculosis drugs 2, 59 . Whole genome sequencing produces enormous quantities of data and consequently needs expensive infrastructure for both analysis and storage. Analysis of  WGS information also requires bioinformatics specialists who are generally not available in TB laboratories 58.

Conclusion

The NGS tool has been progressively used in its approaches to novel pathogen discovery and diagnosis of infectious diseases but is still being only in its infancy in the diagnosis of TB and DRTB in a current clinical setting. The global roll-out of the WHO endorsed conventional molecular assay has been increased the number of DR-TB cases. Despite this progress, a limited number of drugs are available in these technologies, and there are still major gaps in the diagnosis of drug resistance. We are expecting in the near term future of NGS based assays, either gene targeting or WGS will replace existing DST methods for rapidly predicting all forms of DRTB mutations including currently being used newer drugs. These powerful NGS has emerged as the gold standard diagnostic method, and it can help clinicians design early diagnosis regimens and treatment before mutations emerge, and epidemiological monitoring. Therefore, our belief is that the worldwide TB infection will be eliminated by the use of NGS.

Acknowledgement

Not applicable.

Conflicts of Interest

There are no conflicts of interest.

Funding Source

None

References

  1. World Health Organization‎. Global tuberculosis report 2019. Geneva: World Health Organization; 2019. Available from: https://apps.who.int/iris/bitstream/handle/10665/329368/9789241565714-eng.pdf?ua=1. [Last accessed on 2020 July 31].
  2. Doyle RM, Burgess C, Williams R, Gorton R, Booth H, Brown J, et al. Direct Whole-Genome Sequencing of Sputum Accurately Identifies Drug-Resistant Mycobacterium tuberculosis Faster than MGIT Culture Sequencing. J ClinMicrobiol., 2018; 56:e00666-18.
    CrossRef
  3. Palomino JC. Nonconventional and new methods in the diagnosis of tuberculosis: feasibility and applicability in the field. EurRespir J., 2005; 26:339-50.
    CrossRef
  4. Zhong Y, Xu F, Wu J, Schubert J, Li MM. Application of Next Generation Sequencing in Laboratory Medicine. Ann Lab Med., 2021;41:25-43.
    CrossRef
  5. Kustin T, Ling G, Sharabi S, Ram D, Friedman N, Zuckerman N, et al. A method to identify respiratory virus infections in clinical samples using next-generation sequencing. Sci Rep., 2019;9:2606.
    CrossRef
  6. Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al. A Novel Coronavirus from Patients with Pneumonia in China, 2019. N Engl J Med., 2020;382:727-733.
    CrossRef
  7. Chen ML, Doddi A, Royer J, Freschi L, Schito M, Ezewudo M, et al. Beyond multidrug resistance: Leveraging rare variants with machine and statistical learning models in Mycobacterium tuberculosis resistance prediction. EBioMedicine., 2019;43:356-369.
    CrossRef
  8. Muzondiwa D, Mutshembele A, Pierneef RE, Reva ON. Resistance Sniffer: An online tool for prediction of drug resistance patterns of Mycobacterium tuberculosis isolates using next generation sequencing data. Int J Med Microbiol., 2020;310:151399.
    CrossRef
  9. Centers for disease control and prevention. Introduction to the Core Curriculum on Tuberculosis, 6th ed. chapter 2 Transmission and pathogenesis of tuberculosis; 2013. Available from: https://www.cdc.gov/TB/education/corecurr/pdf/chapter2.pdf. [Last accessed on 2020 April 26].
  10. Dookie N, Rambaran S, Padayatchi N, Mahomed S, Naidoo K. Evolution of drug resistance in Mycobacterium tuberculosis: a review on the molecular determinants of resistance and implications for personalized care. J AntimicrobChemother., 2018;73:1138-51.
    CrossRef
  11. Theron G, Peter J, Richardson M, Barnard M, Donegan S, Warren R, et al. The diagnostic accuracy of the GenoType(®) MTBDRsl assay for the detection of resistance to second-line anti-tuberculosis drugs. Cochrane Database Syst Rev., 2014;10:CD010705.
    CrossRef
  12. Yu WY, Lu PX, Assadi M, Huang XL, Skrahin A, Rosenthal A, et al. Updates on 18F-FDG-PET/CT as a clinical tool for tuberculosis evaluation and therapeutic monitoring. Quant Imaging Med Surg., 2019;9:1132-1146.
    CrossRef
  13. Ankrah AO, van der Werf TS, de Vries EF, Dierckx RA, Sathekge MM, Glaudemans AW. PET/CT imaging of Mycobacterium tuberculosis ClinTransl Imaging., 2016;4:131-144.
    CrossRef
  14. Jain SK. The Promise of Molecular Imaging in the Study and Treatment of Infectious Diseases. Mol Imaging Biol., 2017;19:341-347.
    CrossRef
  15. Priftakis D, Riaz S, Zumla A, Bomanji J. Towards more accurate 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) imaging in active and latent tuberculosis. Int J Infect Dis., 2020;92S:S85-S90.
    CrossRef
  16. Skoura E, Zumla A, Bomanji J. Imaging in tuberculosis. Int J Infect Dis., 2015;32:87-93.
    CrossRef
  17. Niyonkuru A, Chen X, Bakari KH, Wimalarathne DN, Bouhari A, Arnous MMR, et al. Evaluation of the diagnostic efficacy of 18 F-Fluorine-2-Deoxy-D-Glucose PET/CT for lung cancer and pulmonary tuberculosis in a Tuberculosis-endemic Country. Cancer Med., 2020;9:931-942.
    CrossRef
  18. Caulfield AJ, Wengenack NL. Diagnosis of active tuberculosis disease: From microscopy to molecular techniques. J ClinTuberc Other Mycobact Dis., 2016;4:33-43.
    CrossRef
  19. Pai M, Nathavitharana R. Extrapulmonary tuberculosis: new diagnostics and new policies. Indian J Chest Dis Allied Sci., 2014;56:71-3.
  20. Purohit M, Mustafa T. Laboratory Diagnosis of Extra-pulmonary Tuberculosis (EPTB) in Resource-constrained Setting: State of the Art, Challenges and the Need. J ClinDiagn Res., 2015; 9:EE01-6.
    CrossRef
  21. World Health Organization. Technical manual for drug susceptibility testing of medicines used in the treatment of tuberculosis. Geneva: World Health Organization; 2018. Available from: https://apps.who.int/iris/handle/10665/275469. [Last accessed on 2020 May 15].
  22. World Health Organization. Xpert MTB/RIF implementation manual: technical and operational ‘how-to’; practical considerations. Geneva: World Health Organization; 2014. Available from https://apps.who.int/iris/handle/10665/112469. [Last accessed on 2020 March 10].
  23. McNerney R, Maeurer M, Abubakar I, Marais B, McHugh TD, Ford N, et al. Tuberculosis diagnostics and biomarkers: needs, challenges, recent advances, and opportunities. J Infect Dis., 2012;205Suppl 2:S147-58.
    CrossRef
  24. Horne DJ, Pinto LM, Arentz M, Lin SY, Desmond E, Flores LL, et al. Diagnostic accuracy and reproducibility of WHO-endorsed phenotypic drug susceptibility testing methods for first-line and second-line antituberculosis drugs. J ClinMicrobiol., 2013;51:393-401.
    CrossRef
  25. Canetti G, Froman S, Grosset J, Hauduroy P, Langerova M, Mahler HT, et al. Mycobacteria: laboratory methods for testing drug sensitivity and resistance. Bull World Health Organ., 1963;29:565-78.
  26. Nguyen TNA, Anton-Le Berre V, Bañuls AL, Nguyen TVA. Molecular Diagnosis of Drug-Resistant Tuberculosis; A Literature Review. Front Microbiol., 2019;10:794.
    CrossRef
  27. Koch A, Cox H, Mizrahi V. Drug-resistant tuberculosis: challenges and opportunities for diagnosis and treatment. CurrOpinPharmacol., 2018;42:7-15.
    CrossRef
  28. Dorman SE, Schumacher SG, Alland D, Nabeta P, Armstrong DT, King B, et al. Xpert MTB/RIF Ultra for detection of Mycobacterium tuberculosis and rifampicin resistance: a prospective multicentre diagnostic accuracy study. Lancet Infect Dis., 2018; 18:76-84.
  29. Pai M, Nicol MP, Boehme CC. Tuberculosis Diagnostics: State of the Art and Future Directions. MicrobiolSpectr., 2016;4.
    CrossRef
  30. André E, Goeminne L, Colmant A, Beckert P, Niemann S, Delmee M. Novel rapid PCR for the detection of Ile491Phe rpoB mutation of Mycobacterium tuberculosis, a rifampicin-resistance-conferring mutation undetected by commercial assays. ClinMicrobiol Infect., 2017;23:267.e5-267.e7.
    CrossRef
  31. Chakravorty S, Simmons AM, Rowneki M, Parmar H, Cao Y, Ryan J, et al. The New Xpert MTB/RIF Ultra: Improving Detection of Mycobacterium tuberculosis and Resistance to Rifampin in an Assay Suitable for Point-of-Care Testing. mBio., 2017;8:e00812-17.
    CrossRef
  32. Pai M, Behr MA, Dowdy D, Dheda K, Divangahi M, Boehme CC, et al. Tuberculosis. Nat Rev Dis Primers., 2016;2:16076.
    CrossRef
  33. Xie YL, Chakravorty S, Armstrong DT, Hall SL, Via LE, Song T, et al. Evaluation of a Rapid Molecular Drug-Susceptibility Test for Tuberculosis. N Engl J Med., 2017;377:1043-54.
    CrossRef
  34. GLI Working Group Secretariat Global TB programme World Health Organization. Line probe assays for drug resistant tuberculosis detection, Interpretation and reporting guide for laboratory staff and clinicians. Available from: http://stoptb.org/wg/gli/assets/ documents/LPA_test_web_ready.pdf. [Last accessed on 2020 May 5].
  35. World Health Organization. The use of molecular line probe assays for the detection of resistance to second-line anti-tuberculosis drugs: policy guidance. Geneva: World Health Organization; 2016. Available from: https://apps.who.int/iris/handle/10665/246131. [Last accessed on 2020 April 28]
  36. Seifert M, Catanzaro D, Catanzaro A, Rodwell TC. Genetic mutations associated with isoniazid resistance in Mycobacterium tuberculosis: a systematic review. PLoSONE., 2015;10:e0119628.
    CrossRef
  37. Kandler JL, Mercante AD, Dalton TL, Ezewudo MN, Cowan LS, Burns SP, et al. Validation of Novel Mycobacterium tuberculosis Isoniazid Resistance Mutations Not Detectable by Common Molecular Tests. Antimicrob Agents Chemother., 2018;62:e00974-18.
    CrossRef
  38. Ajileye A, Alvarez N, Merker M, Walker TM, Akter S, Brown K, et al. Some Synonymous and Nonsynonymous gyrA Mutations in Mycobacterium tuberculosisLead to Systematic False-Positive Fluoroquinolone Resistance Results with the Hain GenoType MTBDRsl Assays. Antimicrob Agents Chemother., 2017;61:e02169-16.
    CrossRef
  39. Liang B, Tan Y, Li Z, Tian X, Du C, Li H, et al. Highly Sensitive Detection of Isoniazid Heteroresistance in Mycobacterium tuberculosis by DeepMelt Assay. J ClinMicrobiol., 2018;56:e01239-17.
    CrossRef
  40. Folkvardsen DB, Svensson E, Thomsen VØ, Rasmussen EM, Bang D, Werngren J, et al. Can molecular methods detect 1% isoniazid resistance in Mycobacterium tuberculosis. J ClinMicrobiol., 2013;51:1596-9.
    CrossRef
  41. Folkvardsen DB, Thomsen VØ, Rigouts L, Rasmussen EM, Bang D, Bernaerts G, et al. Rifampin heteroresistance in Mycobacterium tuberculosis cultures as detected by phenotypic and genotypic drug susceptibility test methods. J ClinMicrobiol., 2013;51:4220-2.
    CrossRef
  42. deVos M, Derendinger B, Dolby T, Simpson J, van Helden PD, Rice JE, et al. Diagnostic Accuracy and Utility of FluoroType MTBDR, a New Molecular Assay for Multidrug-Resistant Tuberculosis. J ClinMicrobiol., 2018;56:e00531-18.
    CrossRef
  43. Nikam C, Jagannath M, Narayanan MM, Ramanabhiraman V, Kazi M, Shetty A, et al. Rapid diagnosis of Mycobacterium tuberculosis with Truenat MTB: a near-care approach. PLoSONE., 2013;8:e51121.
    CrossRef
  44. Nikam C, Kazi M, Nair C, Jaggannath M, M M, R V, et al. Evaluation of the Indian TrueNAT micro RT-PCR device with GeneXpert for case detection of pulmonary tuberculosis. Int J Mycobacteriol., 2014;3:205-10.
    CrossRef
  45. Gwinn M, MacCannell D, Armstrong GL. Next-Generation Sequencing of Infectious Pathogens. JAMA., 2019;321:893-894.
    CrossRef
  46. Chen P, Sun W, He Y. Comparison of the next-generation sequencing (NGS) technology with culture methods in the diagnosis of bacterial and fungal infections. J Thorac Dis., 2020;12:4924-4929.
    CrossRef
  47. Lefterova MI, Suarez CJ, Banaei N, Pinsky BA. Next-Generation Sequencing for Infectious Disease Diagnosis and Management: A Report of the Association for Molecular Pathology. J MolDiagn., 2015;17:623-634.
    CrossRef
  48. Maljkovic Berry I, Melendrez MC, Bishop-Lilly KA, Rutvisuttinunt W, Pollett S, Talundzic E, et al. Next Generation Sequencing and Bioinformatics Methodologies for Infectious Disease Research and Public Health: Approaches, Applications, and Considerations for Development of Laboratory Capacity. J Infect Dis., 2020;221:S292-S307.
    CrossRef
  49. Parker J, Chen J. Application of next generation sequencing for the detection of human viral pathogens in clinical specimens. J ClinVirol., 2017;86:20-26.
    CrossRef
  50. Shen T, Pajaro-Van de Stadt SH, Yeat NC, Lin JC. Clinical applications of next generation sequencing in cancer: from panels, to exomes, to genomes. Front Genet., 2015;6:215.
    CrossRef
  51. Messah ADV, Pawitan JA. Next Generation Sequencing as Rapid Diagnosis of Multidrug Resistance Tuberculosis. Adv. Life Sci., 2020; 8(1): 30-37.
  52. World Health Organization‎. The use of next-generation sequencing technologies for the detection of mutations associated with drug resistance in Mycobacterium tuberculosis complex: technical guide. Geneva: World Health Organization; 2018. Available from: https://apps.who.int/iris/handle/10665/274443. [Last accessed on 2020 May 12]
  53. Pankhurst LJ, Del Ojo Elias C, Votintseva AA, Walker TM, Cole K, Davies J, et al. Rapid, comprehensive, and affordable mycobacterial diagnosis with whole-genome sequencing: a prospective study. Lancet Respir Med., 2016;4:49-58.
    CrossRef
  54. McNerney R, Clark TG, Campino S, Rodrigues C, Dolinger D, Smith L, et al. Removing the bottleneck in whole genome sequencing of Mycobacterium tuberculosis for rapid drug resistance analysis: a call to action. Int J Infect Dis., 2017;56:130-5.
    CrossRef
  55. Daum LT, Rodriguez JD, Worthy SA, Ismail NA, Omar SV, Dreyer AW, et al. Next-generation ion torrent sequencing of drug resistance mutations in Mycobacterium tuberculosis strains. J ClinMicrobiol., 2012;50:3831-7.
    CrossRef
  56. Iketleng T, Lessells R, Dlamini MT, Mogashoa T, Mupfumi L, Moyo S, et al. Mycobacterium tuberculosis Next-Generation Whole Genome Sequencing: Opportunities and Challenges. Tuberc Res Treat., 2018;2018:1298542.
    CrossRef
  57. Zhou X, Wu H, Ruan Q, Jiang N, Chen X, Shen Y, et al. Clinical Evaluation of Diagnosis Efficacy of Active Mycobacterium tuberculosis Complex Infection via Metagenomic Next-Generation Sequencing of Direct Clinical Samples. Front Cell Infect Microbiol., 2019;9:351.
    CrossRef
  58. Cervantes J, Yokobori N, Hong BY. Genetic Identification and Drug-Resistance Characterization of Mycobacterium tuberculosisUsing a Portable Sequencing Device. A Pilot Study. Antibiotics (Basel)., 2020;9:E548.
    CrossRef
  59. Zignol M, Cabibbe AM, Dean AS, Glaziou P, Alikhanova N, Ama C, et al. Genetic sequencing for surveillance of drug resistance in tuberculosis in highly endemic countries: a multi-country population-based surveillance study. Lancet Infect Dis., 2018;18:675-83.
    CrossRef
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