Literature DB >> 28100602

FIND Tuberculosis Strain Bank: a Resource for Researchers and Developers Working on Tests To Detect Mycobacterium tuberculosis and Related Drug Resistance.

Belay Tessema1,2, Pamela Nabeta1, Eloise Valli1, Audrey Albertini1, Jimena Collantes3, Nguyen Huu Lan4, Elena Romancenco5, Nestani Tukavdze6, Claudia M Denkinger1, David L Dolinger7.   

Abstract

The spread of multidrug-resistant (MDR) tuberculosis (TB) and extensively drug-resistant (XDR) TB hampers global efforts in the fight against tuberculosis. To enhance the development and evaluation of diagnostic tests quickly and efficiently, well-characterized strains and samples from drug-resistant tuberculosis patients are necessary. In this project, the Foundation for Innovative New Diagnostics (FIND) has focused on the collection, characterization, and storage of such well-characterized reference materials and making them available to researchers and developers. The collection is being conducted at multiple centers in Southeast Asia, South America, Eastern Europe, and soon the sub-Saharan Africa regions. Strains are characterized for their phenotypic resistances and MICs to first-line drugs (FLDs) and second-line drugs (SLDs) using the automated MGIT 960 system following validated procedures and WHO criteria. Analysis of resistance-associated mutations is done by whole-genome sequencing (WGS) using the Illumina NextSeq system. Mycobacterial interspersed repetitive-unit-variable-number tandem-repeat analysis and WGS are used to determine strain lineages. All strains are maintained frozen at -80°C ± 10°C as distinct mother and daughter lots. All strains are extensively quality assured. The data presented here represent an analysis of the initial part of the collection. Currently, the bank contains 118 unique strains with extracted genomic DNA and matched sputum, serum, and plasma samples and will be expanded to a minimum of 1,000 unique strains over the next 3 years. Analysis of the current strains by phenotypic resistance testing shows 102 (86.4%), 10 (8.5%), and 6 (5.1%) MDR, XDR, and mono/poly resistant strains, respectively. Two of the strains are resistant to all 11 drugs that were phenotypically tested. WGS mutation analysis revealed FLD resistance-associated mutations in the rpoB, katG, inhA, embB, embA, and pncA genes; SLD resistance in the gyrA, gyrB, rrs, eis, and tlyA genes; and ethionamide resistance in the ethA genes. Most important lineages are represented in the bank, and further collections have been initiated to increase geographic and lineage diversity. The bank provides highly characterized and high-quality strains as a resource for researchers and developers in support of the development and evaluation of new diagnostics and drug resistance detection tools.
Copyright © 2017 Tessema et al.

Entities:  

Keywords:  diagnostics development; drug-resistant tuberculosis; strain bank

Mesh:

Year:  2017        PMID: 28100602      PMCID: PMC5377833          DOI: 10.1128/JCM.01662-16

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


INTRODUCTION

Drug-resistant tuberculosis (DR-TB) threatens global TB control efforts. Worldwide, 3.3% of new TB patients and 20% of previously treated patients were estimated to have multidrug-resistant tuberculosis (MDR-TB). While extensively drug-resistant TB (XDR-TB), defined as MDR-TB plus resistance to at least one fluoroquinolone (FQ) and a second-line injectable drug (SLID), has been reported by 105 countries by the end of 2014 (1), only 26% of the estimated MDR-TB cases were detected in 2014 (1). Accurate diagnosis of TB and rapid detection of drug resistance are critical to the timely initiation of an effective treatment. Without rapid identification of MDR-TB, the ambitious “End TB” goals of the World Health Organization (WHO) will not be achievable (2). Molecular methods for drug susceptibility testing (DST) have considerable advantages when programmatic management of DR-TB is scaled up, particularly with regard to time-to-result and also with standardization and reduced requirements for biosafety (3, 4). However, our understanding of the resistance mechanisms for some first-line drugs (FLDs) and second-line drugs (SLDs) is still limited. For the majority of drugs, multiple genes are involved, mutations may be scattered over long gene sequences, and a percentage of resistance-associated genomic markers or mechanisms may not have been identified. These factors complicate the development of new rapid molecular tests to detect resistance in the Mycobacterium tuberculosis complex (MTC) (5, 6). To support the research and development of new diagnostic assays and solutions, a better understanding of the genotypic basis of resistance is essential and highly characterized wild-type and resistant strains need to be made available to developers. A better understanding of the genotypic basis of resistance can only be achieved through large databases and data sets that correlate phenotypic and genotypic resistance characterization, such as the ReSeqTB initiative of FIND, Critical Path (C-Path), United States Centers for Disease Control and Prevention (CDC), WHO, and the Bill and Melinda Gates Foundation (BMGF) (7). Existing strain banks, such as the Special Programme for Research and Training in Tropical Diseases (TDR), in collaboration with the Institute of Tropical Medicine (ITM), Antwerp, Belgium, have made M. tuberculosis isolates available upon request (8, 9). However, a wider diversity of genetically and clinically well-characterized resistant strains is required, particularly when it comes to second-line drugs. To fill this gap, FIND has established a strain bank that is complementary to the existing banks by focusing more specifically on MDR, pre-XDR, and XDR strains with extensive lineage backgrounds. Herein, we describe the current collection of strains within the FIND TB strain bank, the characterization of strains, the nature of services provided to researchers and developers, and future plans.

RESULTS

At the time of this analysis, the FIND TB strain bank contains 118 well-characterized strains with matched daughter aliquots, DNA extracts, sputum samples, EDTA plasma, and serum samples.

Clinical and geographical distribution of the strains.

Based on the results of phenotypic DST, 102 (86.4%), 10 (8.5%), and 6 (5.1%) of the strains are classified as MDR, XDR, or mono/poly resistant strains, respectively. The current regional composition of the strains shows that 49.2% of the strains are from Southeast Asia, 37.3% are from South America, and 13.6% of the strains are from Eastern Europe. Currently, the majority of the strains are from relapse cases or treatment failures (28.0% and 27.1%, respectively). Six (5.1%) of the strains are from tuberculosis patients with a comorbidity of HIV infection (Table 1).
TABLE 1

Clinical and demographic characteristics of MDR- and XDR-TB patients

CharacteristicMDR-TB
XDR-TB
Otherb
Total
No.%No.%No.%No.%
Region of origin
    Southeast Asia5352.000.0583.35849.2
    South America4140.2220.0116.74437.3
    Eastern Europe87.8880.000.01613.6
    Subtotal102100.010100.06100.0118100.0
History of previous treatment
    Relapse3029.4330.000.03328.0
    Failure2423.5330.0583.33227.1
    New2221.6330.0116.72622.0
    Defaulter76.900.000.075.9
    Unknown1918.6110.0000.02017.0
    Subtotal102100.010100.06100.0118100.0
HIV status
    Positive65.900.000.065.1
    Negative8785.3990.06100.010286.4
    Unknown98.8110.000.0108.5
    Subtotal102100.010100.006100.0118100.0
M. tuberculosis lineages
    Beijing5957.84440.0583.36857.6
    LAMc2726.47110.0116.72924.6
    X-type65.88110.000.075.9
    URAL10.98440.000.054.2
    Haarlem43.9200.000.043.4
    Clade 143.9200.000.043.4
    Delhi/CAS10.9800.000.010.9
    Subtotal102100.0010100.06100.0118100.0

There were a total of 118 patients.

Other indicates monoresistant or polyresistant M. tuberculosis strains.

LAM, Latin America-Mediterranean.

Clinical and demographic characteristics of MDR- and XDR-TB patients There were a total of 118 patients. Other indicates monoresistant or polyresistant M. tuberculosis strains. LAM, Latin America-Mediterranean.

Genetic diversity of the strains.

The lineage diversity of the strains based on mycobacterial interspersed repetitive-unit–variable-number tandem-repeat (MIRU-VNTR) typing and whole-genome sequencing (WGS) results is Beijing (57.6%), LAM (24.6%), X-type (5.9%), URAL (4.2%), Haarlem (3.4%), clade 1 (3.4%), and Delhi/Central Asian Strain (CAS) (0.9%). The majority of MDR-TB strains are of Beijing (57.8%) and of Latin American Mediterranean (LAM) (26.5%) origins. While the majority of the XDR-TB strains are of Beijing (40.0%) and URAL (40.0%) origins. The Beijing lineage is the predominant lineage among strains collected from Southeast Asia (55; 94.8%) and Eastern Europe (12; 75.0%), while LAM is the predominant lineage among strains from South America (29; 65.9%) (Table 1; see also Table S1 in the supplemental material).

First-line anti-TB drug resistance.

First-line drug resistance profiles of the initial 118 strains based on phenotypic DST is indicated in Fig. 1. All strains are resistant to isoniazid (INH), while 94.9%, 55.1%, and 87.3% of the strains are resistant to rifampin (RMP), ethambutol (EMB), and pyrazinamide (PZA), respectively. Four strains have indeterminate results, 2 for RMP, 1 for EMB, and 1 for PZA. Approximately half (48.3%) of the strains are resistant to all of the first-line drugs (FLDs) (INH, RMP, EMB, PZA) tested (see Table S2 in the supplemental material). Forty strains (33.9%) are resistant to INH, RMP, and PZA, and 6 strains (5.1%) are resistant only to INH and RMP.
FIG 1

Drug resistance profile of 118 M. tuberculosis isolates based on phenotypically DST results. INH, isoniazid; RMP, rifampin; EMB, ethambutol; PZA, pyrazinamide; OFL, ofloxacin; MXF, moxifloxacin; LFX, levofloxacin; AMK, amikacin; CPM, capreomycin; KAM, kanamycin; ETH, ethionamide. *, one isolate was contaminated during DST for ETH.

Drug resistance profile of 118 M. tuberculosis isolates based on phenotypically DST results. INH, isoniazid; RMP, rifampin; EMB, ethambutol; PZA, pyrazinamide; OFL, ofloxacin; MXF, moxifloxacin; LFX, levofloxacin; AMK, amikacin; CPM, capreomycin; KAM, kanamycin; ETH, ethionamide. *, one isolate was contaminated during DST for ETH.

Second-line anti-TB drug resistance.

Second-line drug resistance profiles of the initial 118 strains based on phenotypic DST results are also summarized in Fig. 1. The highest proportion of resistance is observed for ethionamide (ETH) (34.2%) followed by kanamycin (KAM) (16.1%), ofloxacin (OFL) (11.0%), moxifloxacin (MXF) (10.2%), levofloxacin (LFX) (7.6%), amikacin (AMK) (6.8%), and capreomycin (CPM) (4.2%). Five strains have indeterminate result to second-line drugs, one strain to LFX, two strains to AMK, and two strains to CPM. A large proportion of the strains (39.8%) are resistant to at least 1 second-line drug. The highest proportion of mono-resistance was observed to ETH (22.1%) (see Table S3 in the supplemental material).

Frequency of mutations conferring resistance to FLDs.

Of the total strains analyzed by WGS, 92.4% have rpoB gene mutations conferring resistance to RMP while the remaining 7.6% that have been shown to be phenotypically resistant showed no mutations within the rpoB gene. The most frequent mutation observed in the rpoB gene is S450L (62.7%) followed by D435V (10.2%). Four phenotypically RMP-susceptible strains have been shown to have rpoB gene mutations: L452P (2 strains), S450L (1 strain), and L430P (1 strain) mutations. Additional data are provided in Table S4 in the supplemental material. All phenotypic INH-resistant strains have resistance-conferring mutations either in the katG or the inhA gene. The majority of strains (89.8%) have mutations in the katG gene, with the highest frequency being the S315T mutation (86.4%). The most common inhA gene mutation is −15C/T (10.2%). All phenotypic EMB-resistant strains (65) have resistance-associated mutations in embB (92.3%), embA (3.1%), or in both the embB and embA (4.6%) genes. The most frequent mutation among EMB-resistant strains is the M306V mutation (36.9%) followed by the M306I mutation (20.0%) in the embB gene. Among PZA-resistant strains, 81.9% had mutations in the pncA gene while the remaining PZA-resistant strains (18.1%) had no identified mutations in the pncA gene. H51R, Q10R, and −11A/G are the most frequent mutations observed (6.7% each) in the pncA gene among phenotypic PZA-resistant strains. Analysis of the phenotypically PZA-susceptible strains showed that 58.3% (7/12) of the strains had resistance-associated mutations in the pncA gene.

Frequency of mutations conferring resistance to SLDs.

Of 14 phenotypically resistant strains to at least one of the fluoroquinolone (FQ) drugs tested, 13 strains had a FQ resistance-associated mutation in the gyrA gene, while one phenotypic FQ-resistant strain had an E501D mutation in the gyrB gene. The most frequent mutation among phenotypic FQ-resistant strains was D94G (6 strains) followed by D94A (4 strains). Additional data are provided in Table S5 in the supplemental material. Among the 19 observed strains that were phenotypically resistant to SLIDs, 4 strains had mutations in the rrs gene, 8 strains had mutations in the eis gene, one had mutations in the tlyA gene; the remaining 6 strains had unidentified mechanisms for resistance. The most frequently observed mutations among phenotypic SLID-resistant strains is the 1401A/G (3 strains) mutation in the rrs gene and −12C/T (4 strains) mutation in the eis gene. Of 40 phenotypic ETH-resistant strains, 23 strains had mutations associated with ETH in the ethA gene. The remaining 17 phenotypic ETH-resistant strains had unidentified mechanisms for resistance. The most frequent ETH resistance-associated mutation observed was the −15C/T (17/23 strains) mutation in the ethA gene.

DISCUSSION

Current status of the strain bank.

The FIND TB strain bank represents a unique resource for highly characterized and high-quality MDR-TB and XDR-TB strains that is complementary to other existing banks (8, 9). It is comprised of well-characterized and quality assured strains. The bank includes strains from geographically diverse populations and diverse phylogenetic lineages. In addition to the strains, the bank contains matched DNA extracts and matched clinical specimens: sputum samples, serum samples, and plasma. To achieve the initial target of 1,000 characterized strains by early 2018 and to increase geographic coverage and strain lineage diversity, FIND is adding collection sites in South Africa (Kwazulu Natal and Cape Town) and Vietnam. The main purpose of this bank is to facilitate access to quality assured reference materials and thereby to stimulate and enhance the development and validation of innovative, novel diagnostic and drug resistance detection tools that are fit-for-purpose for limited resource settings (10). Other strains relevant for test development are also being added (e.g., nontuberculous mycobacteria to support exclusivity testing). The bank has attempted to follow best practices during collection, characterization, and storage of the reference materials (11). The viability, purity, and authenticity of strains are carefully checked before distribution.

Access to the strain bank.

Strains, DNA extracts, and matched clinical specimens from this collection are available upon request from FIND. A Strain Bank Review Committee (SBRC), composed of five qualified members, reviews all applications. Requests addressing the following criteria are given the highest priority: (i) relevance to public health (feasibility and impact on patients and disease control programs), (ii) applicability of the technology in high-burden countries as predefined in target product profiles (10, 12), (iii) estimated low cost of the final product, and (iv) previous data or scientific evidence supporting the request. All applicants are also required to sign a material transfer agreement (MTA) regulating the use of the materials. The MTA and other necessary information to request reference materials are available on the FIND website (http://www.finddx.org/specimen-banks/material-request-form/).

Virtual strain bank.

Key information pertaining to the FIND strains is portrayed in the FIND virtual strain bank. In addition, the FIND virtual strain bank will also provide a portal in which other researchers, who house well-characterized strains, can make key characteristics of their strains visible to researchers and developers. The online portal will be searchable and will allow researchers and developers to determine who might have a strain of interest. The researcher or developer can then contact the owner of the particular strain (directly or through FIND) to obtain access to the strain. As such, the portal will further facilitate collaboration among TB researchers and developers.

Conclusion.

The FIND TB strain bank is an inimitable resource that encourages researchers and developers and accelerates the development of novel, affordable TB diagnostics for the detection of drug resistance in TB.

MATERIALS AND METHODS

Study design and patient recruitment.

A longitudinal, multicenter study is being conducted to collect and store reference materials of adult patients who at least have DR-TB. Patients presumed to have MDR-TB have been recruited at sites in South America (Peru), Southeast Asia (Vietnam), and Eastern Europe (Moldova and Georgia) since August 2014. The initial enrollment target for this project has been set at 1,000 patients confirmed to have DR-TB. Patients presumed to have DR-TB are defined as TB patients who are either (i) new TB suspects with rifampin (RMP) resistance indicated by the GeneXpert MTB/RIF assay (Xpert MTB/RIF; Cepheid, Sunnyvale, CA, USA), (ii) TB relapse cases, (iii) retreatment cases after default, (iv) failure of category I or II treatment regimen, or (v) contacts with MDR-TB cases. All patients recruited for an in-depth characterization of strains at reference laboratories must at least have confirmed RMP resistance as determined by Xpert MTB/RIF. Written informed consent is obtained from all eligible study participants prior to data and sample collection. Patients with presumed MDR-TB who have only extrapulmonary TB, are less than 18 years of age, or are unable to provide informed consent are excluded from the study. Study participants are provided the standard anti-TB treatment regimens based on national treatment guidelines. This study has been approved by the appropriate ethical review board of FIND and the boards of the collection sites.

Sample collection and processing.

Clinical and demographic information of patients with presumed DR-TB is collected using a standardized questionnaire. Three sputum samples, spot-morning-spot (≥3 ml each), and 20 ml of blood (10 ml for EDTA plasma and 10 ml for serum) are collected from all eligible patients prior to the start of treatment. On site, the first sputum samples are processed and characterized by smear microscopy, Xpert MTB/RIF, and culture using Lowenstein-Jensen (LJ) medium and the Bactec mycobacterial growth indicator tube (MGIT) 960 system (Becton Dickinson [BD], Sparks, MD, USA). Species identification is performed using either the BD MGIT TBc identification test, Capilia TB-Neo (Tauns laboratories, Japan), or TB Ag MPT64 Rapid test (Standard Diagnostics, South Korea). The remaining sputum samples (sputum sample 2 and sputum sample 3) are homogenized with glass beads, aliquoted in 0.5-ml volumes, and stored at −80 ± 10°C as are EDTA plasma and serum until shipped to the FIND repository partner. HIV testing is also done following the appropriate national HIV testing algorithm at each site. Aliquoted sputum, plasma, and serum samples are shipped to the FIND repository at ZeptoMetrix (Franklin, MA, USA) for storage and distribution to end users upon request. LJ slants or glycerol stocks of culture isolates from positive cultures are shipped to the National Reference Center for Mycobacteria (Borstel, Germany) or the National Jewish Health (Denver, CO, USA) TB reference laboratories for in-depth characterization of the isolated strains (Fig. 2).
FIG 2

Multidrug-resistant TB suspect identification, specimen collection, storage, transportation, and strain characterization. QC, quality controls; INH, isoniazid; RMP, rifampin; EMB, ethambutol; PZA, pyrazinamide; OFL, ofloxacin; MXF, moxifloxacin; LFX, levofloxacin; AMK, amikacin; CPM, capreomycin; KAM, kanamycin; ETH, ethionamide.

Multidrug-resistant TB suspect identification, specimen collection, storage, transportation, and strain characterization. QC, quality controls; INH, isoniazid; RMP, rifampin; EMB, ethambutol; PZA, pyrazinamide; OFL, ofloxacin; MXF, moxifloxacin; LFX, levofloxacin; AMK, amikacin; CPM, capreomycin; KAM, kanamycin; ETH, ethionamide.

Strain characterization.

All LJ slants sent to the reference laboratories for in-depth characterization are subcultured on LJ medium. A single dominant colony is picked from every culture and subsequently propagated on LJ medium. All subsequent tests are carried out from these single-colony-derived cultures.

Phenotypic drug susceptibility testing.

Phenotypic DST for first-line drugs (FLDs) and second-line drugs (SLDs) is done using the WHO-endorsed proportion method on the MGIT 960 system. DST is done for the following FLDs: isoniazid (INH), rifampin (RMP), ethambutol (EMB), and pyrazinamide (PZA), and for the following SLDs: ofloxacin (OFL), moxifloxacin (MXF), levofloxacin (LFX), amikacin (AMK), capreomycin (CPM), kanamycin (KAM), and ethionamide (ETH). The critical concentrations used are in accordance with WHO recommendations (13): INH (0.1 μg/ml), RMP (1 μg/ml), EMB (5 μg/ml), PZA (100 μg/ml), OFL (2 μg/ml), MXF (0.5 μg/ml), LFX (1.5 μg/ml), AMK(1 μg/ml), KAM (2.5 μg/ml), CPM (2.5 μg/ml), and ETH (5 μg/ml). The data are evaluated when the control reaches 400 growth units. A strain is termed resistant when the growth unit of the drug tube is 100 or more. A strain is termed susceptible if the growth unit of the drug tube is 0 growth units, and a strain is termed indeterminate if growth units range from 1 to 99. As part of the phenotypic DST, MICs are also determined using the MGIT 960 system for the following drugs and concentrations in micrograms per milliliter: RMP (1, 4, 20), INH (0.1, 0.4, 1, 3, 10), LFX (0.1875, 0.375, 0.75, 1.5, 3,7.5, 15), MXF (0.0625, 0.125, 0.25, 0.5, 1, 2.5, 7.5), KAM (0.3125, 0.625, 1.25, 2.5, 5, 12.5, 25), AMK (0.125, 0.25, 0.5, 1, 4, 20, 40), and CPM (0.3125, 0.625, 1.25, 2.5, 5, 12.5, 25) (14, 15).

Whole-genome sequencing-based drug susceptibility analysis.

Whole-genome sequencing (WGS) is performed using the Illumina NextSeq (Illumina, San Diego, CA, USA) system. The drug resistance-determining regions (RDRs) of the following genes: rpoB (RMP), katG and inhA (INH), embB and embA (EMB), pncA (PZA), gyrA and gyrB (OFX, MXF, and LFX), rrs (KAM, CPM, and AMK), eis (KAM), tlyA (CPM), and ethA (ETH), and the promoters of inhA and eis are then systematically analyzed for mutations associated with drug resistance based on the recently published database (16). All sequences of the strains are deposited in the ReSeqTB data sharing platform.

Genotyping.

All strains are typed in Borstel using mycobacterial interspersed repetitive-unit–variable-number tandem-repeat (MIRU-VNTR) 24 loci protocol and by analysis of WGS data to determine phylogenetic lineages (17–19).

Strain preservation.

As the FIND strain bank is designed to be a long-term resource, storage of the strains in a manner that ensures their viability is essential. Therefore, all strains are stored as mother and daughter lots. Mother lots are divided into two specific lots. One set of mother lots is saved in a separate location for longer term storage and recovery purposes. The other set of mother lots is utilized to replenish daughter lots. Daughter lots are distributed to end users upon request. Strain lot production is performed by the Institute of Microbiology and Laboratory Medicine (IML) (Gauting, Germany).

Mother lots.

To ensure long-term storage of the strains, mother lots are produced as follows: 1.0 ml of the primary strain stock is used to inoculate one MGIT with Middlebrook 7H9 medium supplemented with oleic acid-albumin-dextrose-catalase (OADC) enrichment (BD) and polymyxin B, amphotericin B, nalidixic acid, trimethoprim, aziocillin (PANTA) antibiotic mixture (BD). A total of 2 MGIT tubes are inoculated and incubated for each strain according to standard MGIT protocol. MTC cells are harvested from the culture by centrifugation for 5 min at 3,500 × g (Sigma 3K-15). The concentration of cells is assessed by measuring the adjusted optical density at 580 nm (AOD580). An A580 of 0.1 units is equivalent to approximately 6.3 × 107 CFU mycobacterium cells/ml (20). Based on the AOD580 result, the cells are aseptically diluted to a concentration of approximately 5 × 106 CFU/ml with sterile supplemented 7H9 media. Then, sterile supplemented 7H9 medium containing 20% glycerol is slowly added to the suspension until the final concentration of the strain is approximately 1 × 106 CFU/ml and the final concentration of glycerol is 4% (vol/vol). Finally, the solution (1.0 ml) is aliquoted into sterile cryovials (up to 10 mother aliquots are obtained per MGIT tube). These aliquots are labeled as a specific mother lot. After inspection of the dispensed mother aliquots, the cryovials are placed in a cryobox and stored at −80 ± 10°C and shipped to the FIND repository.

Daughter lots.

Daughter lots, which are used for distribution to end users, are produced from a mother lot aliquot as follows: 0.5 ml of the mother aliquot is removed aseptically and used to inoculate new MGIT tubes (7H9 supplemented with OADC and PANTA). A total of 2 MGIT tubes are inoculated and incubated for each daughter lot. Cells are harvested by centrifugation for 5 min at 3,500 × g (Sigma 3K-15). Cell concentration is determined by obtaining the optical density at 580 nm as previously stated. Based on the optical density result, the cells are aseptically diluted to a concentration of approximately 1 × 106 CFU/ml with sterile supplemented 7H9 medium. The resulting cell suspension is then dispensed in 0.5-ml aliquots into sterile appropriately labeled cryovials as a specific daughter lot aliquot (up to 15 daughter lots are obtained from one MGIT tube). The cryovials are placed in a cryobox and stored at −80 ± 10°C until shipped to the FIND repository.

Genomic DNA extraction.

Five daughter lot aliquots are pooled, extracted, and purified for DNA using the Chemagic Star DNA Blood400 kit (PerkinElmer, Waltham, MA, USA). The resulting extract from the procedure is quantified by spectrophotometry, and the estimated quantity of DNA is documented. Once extraction and purification are done, the resulting extract is equally split into 5 appropriately labeled vials, placed in a cryobox, stored at −80 ± 10°C, and shipped to the FIND repository.

Quality control testing of daughter lots.

Upon production of daughter lots, the daughter lots are tested for purity, viability, and authenticity.

(i) Purity.

Purity/contamination (no bacteria other than MTC) testing is done by inoculating 0.1 ml from a daughter lot aliquot on a blood agar plate. This is done from 1 aliquot and on three separate blood agar plates; plates are incubated at 37°C, 42°C, and at room temperature for 72 h and monitored every 24 h for contaminant growth.

(ii) Viability.

Viability (growth in culture) testing is done using one aliquot (0.5 ml) from the daughter production, which is inoculated into an MGIT culture tube (7H9 supplemented with OADC and PANTA) for growth of MTC. A positive result is defined by growth within 14 days of incubation. The time to positivity is checked and compared with the time to positivity observed during the production of the daughter lot.

(iii) Authenticity.

Authenticity (MIRU typing to confirm strain) testing is done using the extracted DNA from each daughter lot production by loci-specific sequencing. Recipient sites are also encouraged to run their own susceptibility testing on the strains in parallel with any molecular tests to minimize the impact of inadvertent variant selection that may not be detected by authenticity testing. A total of 5 daughter lot vials are used for quality assurance testing of the total lots (30 daughter lots) of each strain. When daughter lots pass the three quality checks, the lots are shipped for storage and distribution to end users upon request.
  13 in total

1.  Revisiting susceptibility testing in MDR-TB by a standardized quantitative phenotypic assessment in a European multicentre study.

Authors:  E Cambau; M Viveiros; D Machado; L Raskine; C Ritter; E Tortoli; V Matthys; S Hoffner; E Richter; M L Perez Del Molino; D M Cirillo; D van Soolingen; E C Böttger
Journal:  J Antimicrob Chemother       Date:  2014-11-11       Impact factor: 5.790

2.  PhyResSE: a Web Tool Delineating Mycobacterium tuberculosis Antibiotic Resistance and Lineage from Whole-Genome Sequencing Data.

Authors:  Silke Feuerriegel; Viola Schleusener; Patrick Beckert; Thomas A Kohl; Paolo Miotto; Daniela M Cirillo; Andrea M Cabibbe; Stefan Niemann; Kurt Fellenberg
Journal:  J Clin Microbiol       Date:  2015-04-08       Impact factor: 5.948

3.  Detection of rifampicin-resistance mutations in Mycobacterium tuberculosis.

Authors:  A Telenti; P Imboden; F Marchesi; D Lowrie; S Cole; M J Colston; L Matter; K Schopfer; T Bodmer
Journal:  Lancet       Date:  1993-03-13       Impact factor: 79.321

4.  The TDR Tuberculosis Strain Bank: a resource for basic science, tool development and diagnostic services.

Authors:  V Vincent; L Rigouts; E Nduwamahoro; B Holmes; J Cunningham; M Guillerm; C-M Nathanson; F Moussy; B De Jong; F Portaels; A Ramsay
Journal:  Int J Tuberc Lung Dis       Date:  2012-01       Impact factor: 2.373

5.  Proposal for standardization of optimized mycobacterial interspersed repetitive unit-variable-number tandem repeat typing of Mycobacterium tuberculosis.

Authors:  Philip Supply; Caroline Allix; Sarah Lesjean; Mara Cardoso-Oelemann; Sabine Rüsch-Gerdes; Eve Willery; Evgueni Savine; Petra de Haas; Henk van Deutekom; Solvig Roring; Pablo Bifani; Natalia Kurepina; Barry Kreiswirth; Christophe Sola; Nalin Rastogi; Vincent Vatin; Maria Cristina Gutierrez; Maryse Fauville; Stefan Niemann; Robin Skuce; Kristin Kremer; Camille Locht; Dick van Soolingen
Journal:  J Clin Microbiol       Date:  2006-09-27       Impact factor: 5.948

6.  Quantitative drug susceptibility testing of Mycobacterium tuberculosis by use of MGIT 960 and EpiCenter instrumentation.

Authors:  Burkhard Springer; Katja Lucke; Romana Calligaris-Maibach; Claudia Ritter; Erik C Böttger
Journal:  J Clin Microbiol       Date:  2009-04-01       Impact factor: 5.948

7.  Collaborative Effort for a Centralized Worldwide Tuberculosis Relational Sequencing Data Platform.

Authors:  Angela M Starks; Enrique Avilés; Daniela M Cirillo; Claudia M Denkinger; David L Dolinger; Claudia Emerson; Jim Gallarda; Debra Hanna; Peter S Kim; Richard Liwski; Paolo Miotto; Marco Schito; Matteo Zignol
Journal:  Clin Infect Dis       Date:  2015-10-15       Impact factor: 9.079

Review 8.  Target product profile of a molecular drug-susceptibility test for use in microscopy centers.

Authors:  Claudia M Denkinger; David Dolinger; Marco Schito; William Wells; Frank Cobelens; Madhukar Pai; Matteo Zignol; Daniela Maria Cirillo; David Alland; Martina Casenghi; Jim Gallarda; Catharina C Boehme; Mark D Perkins
Journal:  J Infect Dis       Date:  2015-04-01       Impact factor: 5.226

9.  High resolution discrimination of clinical Mycobacterium tuberculosis complex strains based on single nucleotide polymorphisms.

Authors:  Susanne Homolka; Michaela Projahn; Silke Feuerriegel; Tanja Ubben; Roland Diel; Ulrich Nübel; Stefan Niemann
Journal:  PLoS One       Date:  2012-07-02       Impact factor: 3.240

10.  Whole-genome sequencing to delineate Mycobacterium tuberculosis outbreaks: a retrospective observational study.

Authors:  Timothy M Walker; Camilla L C Ip; Ruth H Harrell; Jason T Evans; Georgia Kapatai; Martin J Dedicoat; David W Eyre; Daniel J Wilson; Peter M Hawkey; Derrick W Crook; Julian Parkhill; David Harris; A Sarah Walker; Rory Bowden; Philip Monk; E Grace Smith; Tim E A Peto
Journal:  Lancet Infect Dis       Date:  2012-11-15       Impact factor: 25.071

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  5 in total

1.  Xpert MTB/XDR: a 10-Color Reflex Assay Suitable for Point-of-Care Settings To Detect Isoniazid, Fluoroquinolone, and Second-Line-Injectable-Drug Resistance Directly from Mycobacterium tuberculosis-Positive Sputum.

Authors:  Yuan Cao; Heta Parmar; David Alland; Soumitesh Chakravorty; Rajiv L Gaur; Deanna Lieu; Shobana Raghunath; Nova Via; Simone Battaglia; Daniela M Cirillo; Claudia Denkinger; Sophia Georghiou; Robert Kwiatkowski; David Persing
Journal:  J Clin Microbiol       Date:  2021-02-18       Impact factor: 5.948

2.  A systematic review of biomarkers to detect active tuberculosis.

Authors:  Emily MacLean; Tobias Broger; Seda Yerlikaya; B Leticia Fernandez-Carballo; Madhukar Pai; Claudia M Denkinger
Journal:  Nat Microbiol       Date:  2019-02-25       Impact factor: 17.745

3.  Comparative Analytical Evaluation of Four Centralized Platforms for the Detection of Mycobacterium tuberculosis Complex and Resistance to Rifampicin and Isoniazid.

Authors:  Margaretha de Vos; Lesley Scott; Anura David; Andre Trollip; Harald Hoffmann; Sophia Georghiou; Sergio Carmona; Morten Ruhwald; Wendy Stevens; Claudia M Denkinger; Samuel G Schumacher
Journal:  J Clin Microbiol       Date:  2021-02-18       Impact factor: 5.948

4.  Investigating resistance in clinical Mycobacterium tuberculosis complex isolates with genomic and phenotypic antimicrobial susceptibility testing: a multicentre observational study.

Authors:  Iris Finci; Audrey Albertini; Matthias Merker; Sönke Andres; Nino Bablishvili; Ivan Barilar; Tatiana Cáceres; Valeriu Crudu; Eduardo Gotuzzo; Nchimunya Hapeela; Harald Hoffmann; Christine Hoogland; Thomas A Kohl; Katharina Kranzer; Anna Mantsoki; Florian P Maurer; Mark P Nicol; Ecaterina Noroc; Sara Plesnik; Timothy Rodwell; Morten Ruhwald; Theresa Savidge; Max Salfinger; Elizabeth Streicher; Nestani Tukvadze; Robin Warren; Widaad Zemanay; Anna Zurek; Stefan Niemann; Claudia M Denkinger
Journal:  Lancet Microbe       Date:  2022-07-27

5.  CRISPR-based rapid and ultra-sensitive diagnostic test for Mycobacterium tuberculosis.

Authors:  Jing-Wen Ai; Xian Zhou; Teng Xu; Minling Yang; Yuanyuan Chen; Gui-Qing He; Ningp Pan; Yuwei Cai; Yongjun Li; Xiaorui Wang; Hang Su; Ting Wang; Weiqi Zeng; Wen-Hong Zhang
Journal:  Emerg Microbes Infect       Date:  2019       Impact factor: 7.163

  5 in total

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