1
|
Nakiboneka R, Margaritella N, Nyirenda T, Chaima D, Walbaum N, Musisi E, Tionge S, Msosa T, Nliwasa M, Msefula CL, Sloan D, Sabiiti W. Suppression of host gene expression is associated with latent TB infection: a possible diagnostic biomarker. Sci Rep 2024; 14:15621. [PMID: 38972907 PMCID: PMC11228037 DOI: 10.1038/s41598-024-66486-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 07/01/2024] [Indexed: 07/09/2024] Open
Abstract
The World Health Organization End TB strategy aims for a 90% reduction of tuberculosis (TB) incidence by 2035. Systematic testing and treatment of latent TB infection (LTBI) among contacts of active TB patients is recommended as one of the ways to curtail TB incidence. However, there is a shortage of tools to accurately diagnose LTBI. We assessed the appropriateness of whole blood host transcriptomic markers (TM) to diagnose LTBI among household contacts of bacteriologically confirmed index cases compared to HIV negative healthy controls (HC). QuantiFERON-TB Gold Plus Interferon gamma release assay (IGRA) and reverse-transcriptase quantitative PCR were used to determine LTBI and quantify TM expression respectively. Association between TM expression and LTBI was evaluated by logistic regression modelling. A total of 100 participants, 49 TB exposed (TBEx) household contacts and 51 HC, were enrolled. Twenty-five (51%) TBEx individuals tested positive by IGRA, and were denoted as LTBI individuals, and 37 (72.5%) HC were IGRA-negative. Expression of 11 evaluated TM was significantly suppressed among LTBI compared to HC. Out of the 11 TM, ZNF296 and KLF2 expression were strongly associated with LTBI and successfully differentiated LTBI from HC. Paradoxically, 21 (49%) TBEx participants who tested IGRA negative exhibited the same pattern of suppressed TM expression as IGRA positive (LTBI-confirmed individuals). Results suggest that suppression of gene expression underlies LTBI and may be a more sensitive diagnostic biomarker than standard-of-care IGRA.
Collapse
Grants
- Wellcome Trust
- 204821/Z/16/Z Wellcome Trust Institutional Strategic Support fund of the University of St Andrews
- Helse Nord Tuberculosis Initiative (HNTI), Pathology Department, Kamuzu University of Health Sciences
- Africa Centre for Public Health and Herbal Medicines (ACEPHEM), Kamuzu University of Health Sciences
- School of Medicine, University of St Andrews, UK
- Uganda Virus Research Institute, Entebbe, Uganda
- School of Mathematics and Statistics, University of St Andrews, UK
- Department of Pathology, Kamuzu University of Health Sciences
- Adroit Biomedical and Bioentrepreneurship Research Service
Collapse
Affiliation(s)
- Ritah Nakiboneka
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK
- Department of Pathology, Kamuzu University of Health Sciences, Blantyre, Malawi
- Pathology Department, Helse Nord Tuberculosis Initiative (HNTI), Kamuzu University of Health Sciences, Blantyre, Malawi
- Africa Centre for Public Health and Herbal Medicines (ACEPHEM), Kamuzu University of Health Sciences, Blantyre, Malawi
- Uganda Virus Research Institute, Entebbe, Uganda
| | - Nicolò Margaritella
- School of Mathematics and Statistics, University of St Andrews, St Andrews, UK
| | - Tonney Nyirenda
- Department of Pathology, Kamuzu University of Health Sciences, Blantyre, Malawi
| | - David Chaima
- Department of Pathology, Kamuzu University of Health Sciences, Blantyre, Malawi
| | - Natasha Walbaum
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK
| | - Emmanuel Musisi
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK
- Adroit Biomedical and Bioentrepreneurship Research Service, Kampala, Uganda
| | - Sikwese Tionge
- Pathology Department, Helse Nord Tuberculosis Initiative (HNTI), Kamuzu University of Health Sciences, Blantyre, Malawi
| | - Takondwa Msosa
- Pathology Department, Helse Nord Tuberculosis Initiative (HNTI), Kamuzu University of Health Sciences, Blantyre, Malawi
| | - Marriott Nliwasa
- Department of Pathology, Kamuzu University of Health Sciences, Blantyre, Malawi
- Pathology Department, Helse Nord Tuberculosis Initiative (HNTI), Kamuzu University of Health Sciences, Blantyre, Malawi
| | - Chisomo L Msefula
- Department of Pathology, Kamuzu University of Health Sciences, Blantyre, Malawi
- Pathology Department, Helse Nord Tuberculosis Initiative (HNTI), Kamuzu University of Health Sciences, Blantyre, Malawi
- Africa Centre for Public Health and Herbal Medicines (ACEPHEM), Kamuzu University of Health Sciences, Blantyre, Malawi
| | - Derek Sloan
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK
| | - Wilber Sabiiti
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK.
| |
Collapse
|
2
|
Solanki P, Elton L, Honeyborne I, Park M, Satta G, McHugh TD. Improving the diagnosis of tuberculosis: old and new laboratory tools. Expert Rev Mol Diagn 2024; 24:487-496. [PMID: 38832527 DOI: 10.1080/14737159.2024.2362165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 05/28/2024] [Indexed: 06/05/2024]
Abstract
INTRODUCTION Despite recent advances in diagnostic technologies and new drugs becoming available, tuberculosis (TB) remains a major global health burden. If detected early, screened for drug resistance, and fully treated, TB could be easily controlled. AREAS COVERED Here the authors discuss M. tuberculosis culture methods which are considered the definitive confirmation of M. tuberculosis infection, and limited advances made to build on these core elements of TB laboratory diagnosis. Literature searches showed that molecular techniques provide enhanced speed of turnaround, sensitivity, and richness of data. Sequencing of the whole genome, is becoming well established for identification and inference of drug resistance. PubMed® literature searches were conducted (November 2022-March 2024). EXPERT OPINION This section highlights future advances in diagnosis and infection control. Prevention of prolonged hospital admissions and rapid TAT are of the most benefit to the overall patient experience. Host transcriptional blood markers have been used in treatment monitoring studies and, with appropriate evaluation, could be rolled out in a diagnostic setting. Additionally, the MBLA is being incorporated into latest clinical trial designs. Whole genome sequencing has enhanced epidemiological evidence. Artificial intelligence, along with machine learning, have the ability to revolutionize TB diagnosis and susceptibility testing within the next decade.
Collapse
Affiliation(s)
- Priya Solanki
- UCL-TB and Centre for Clinical Microbiology, Division of Infection & Immunity, Royal Free Campus, London, UK
| | - Linzy Elton
- UCL-TB and Centre for Clinical Microbiology, Division of Infection & Immunity, Royal Free Campus, London, UK
| | - Isobella Honeyborne
- UCL-TB and Centre for Clinical Microbiology, Division of Infection & Immunity, Royal Free Campus, London, UK
| | - Mirae Park
- Respiratory Medicine, Imperial Healthcare NHS Trust, London, UK
| | - Giovanni Satta
- UCL-TB and Centre for Clinical Microbiology, Division of Infection & Immunity, Royal Free Campus, London, UK
| | - Timothy D McHugh
- UCL-TB and Centre for Clinical Microbiology, Division of Infection & Immunity, Royal Free Campus, London, UK
| |
Collapse
|
3
|
Gillespie SH, DiNardo AR, Georghiou SB, Sabiiti W, Kohli M, Panzner U, Kontsevaya I, Hittel N, Stuyver LJ, Tan JB, van Crevel R, Lange C, Thuong TNT, Heyckendorf J, Ruhwald M, Heinrich N. Developing biomarker assays to accelerate tuberculosis drug development: defining target product profiles. THE LANCET. MICROBE 2024:S2666-5247(24)00085-5. [PMID: 38735303 DOI: 10.1016/s2666-5247(24)00085-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 03/12/2024] [Accepted: 03/20/2024] [Indexed: 05/14/2024]
Abstract
Drug development for tuberculosis is hindered by the methodological limitations in the definitions of patient outcomes, particularly the slow organism growth and difficulty in obtaining suitable and representative samples throughout the treatment. We developed target product profiles for biomarker assays suitable for early-phase and late-phase clinical drug trials by consulting subject-matter experts on the desirable performance and operational characteristics of such assays for monitoring of tuberculosis treatment in drug trials. Minimal and optimal criteria were defined for scope, intended use, pricing, performance, and operational characteristics of the biomarkers. Early-stage trial assays should accurately quantify the number of viable bacilli, whereas late-stage trial assays should match the number, predict relapse-free cure, and replace culture conversion endpoints. The operational criteria reflect the infrastructure and resources available for drug trials. The effective tools should define the sterilising activity of the drug and lower the probability of treatment failure or relapse in people with tuberculosis. The target product profiles outlined in this Review should guide and de-risk the development of biomarker-based assays suitable for phase 2 and 3 clinical drug trials.
Collapse
Affiliation(s)
- Stephen H Gillespie
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK.
| | - Andrew R DiNardo
- Global TB Program, Texas Children's Hospital and Baylor College of Medicine, Houston, TX, USA; Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, GA Nijmegen, Netherlands
| | | | - Wilber Sabiiti
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK
| | | | - Ursula Panzner
- Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität München (LMU), Munich, Germany; German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany
| | - Irina Kontsevaya
- German Center for Infection Research (DZIF), Partner Site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany; Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK
| | - Norbert Hittel
- Janssen Global Public Health R&D, Janssen Pharmaceutica NV, Beerse, Belgium
| | | | | | - Reinout van Crevel
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, GA Nijmegen, Netherlands; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Christoph Lange
- Global TB Program, Texas Children's Hospital and Baylor College of Medicine, Houston, TX, USA; Division of Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany; German Center for Infection Research (DZIF), Clinical Tuberculosis Unit, Borstel, Germany; Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany
| | | | - Jan Heyckendorf
- Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany; Clinic for Internal Medicine I, University Hospital Schleswig-Holstein (UKSH) Campus Kiel, Kiel, Germany
| | | | - Norbert Heinrich
- Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität München (LMU), Munich, Germany; German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany; Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection and Pandemic Research, Munich, Germany
| |
Collapse
|
4
|
Lyons MA, Obregon-Henao A, Ramey ME, Bauman AA, Pauly S, Rossmassler K, Reid J, Karger B, Walter ND, Robertson GT. Use of multiple pharmacodynamic measures to deconstruct the Nix-TB regimen in a short-course murine model of tuberculosis. Antimicrob Agents Chemother 2024; 68:e0101023. [PMID: 38501805 PMCID: PMC11064538 DOI: 10.1128/aac.01010-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 02/23/2024] [Indexed: 03/20/2024] Open
Abstract
A major challenge for tuberculosis (TB) drug development is to prioritize promising combination regimens from a large and growing number of possibilities. This includes demonstrating individual drug contributions to the activity of higher-order combinations. A BALB/c mouse TB infection model was used to evaluate the contributions of each drug and pairwise combination in the clinically relevant Nix-TB regimen [bedaquiline-pretomanid-linezolid (BPaL)] during the first 3 weeks of treatment at human equivalent doses. The rRNA synthesis (RS) ratio, an exploratory pharmacodynamic (PD) marker of ongoing Mycobacterium tuberculosis rRNA synthesis, together with solid culture CFU counts and liquid culture time to positivity (TTP) were used as PD markers of treatment response in lung tissue; and their time-course profiles were mathematically modeled using rate equations with pharmacologically interpretable parameters. Antimicrobial interactions were quantified using Bliss independence and Isserlis formulas. Subadditive (or antagonistic) and additive effects on bacillary load, assessed by CFU and TTP, were found for bedaquiline-pretomanid and linezolid-containing pairs, respectively. In contrast, subadditive and additive effects on rRNA synthesis were found for pretomanid-linezolid and bedaquiline-containing pairs, respectively. Additionally, accurate predictions of the response to BPaL for all three PD markers were made using only the single-drug and pairwise effects together with an assumption of negligible three-way drug interactions. The results represent an experimental and PD modeling approach aimed at reducing combinatorial complexity and improving the cost-effectiveness of in vivo systems for preclinical TB regimen development.
Collapse
Affiliation(s)
- M. A. Lyons
- Department of Microbiology, Immunology and Pathology, Mycobacteria Research Laboratories, Colorado State University, Fort Collins, Colorado, USA
| | - A. Obregon-Henao
- Department of Microbiology, Immunology and Pathology, Mycobacteria Research Laboratories, Colorado State University, Fort Collins, Colorado, USA
| | - M. E. Ramey
- Department of Microbiology, Immunology and Pathology, Mycobacteria Research Laboratories, Colorado State University, Fort Collins, Colorado, USA
| | - A. A. Bauman
- Department of Microbiology, Immunology and Pathology, Mycobacteria Research Laboratories, Colorado State University, Fort Collins, Colorado, USA
| | - S. Pauly
- Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - K. Rossmassler
- Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - J. Reid
- Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - B. Karger
- Department of Microbiology, Immunology and Pathology, Mycobacteria Research Laboratories, Colorado State University, Fort Collins, Colorado, USA
| | - N. D. Walter
- Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Consortium for Applied Microbial Metrics, Aurora, Colorado, USA
- Rocky Mountain Regional VA Medical Center, Aurora, Colorado, USA
| | - G. T. Robertson
- Department of Microbiology, Immunology and Pathology, Mycobacteria Research Laboratories, Colorado State University, Fort Collins, Colorado, USA
- Consortium for Applied Microbial Metrics, Aurora, Colorado, USA
| |
Collapse
|
5
|
Palekyte A, Morkowska A, Billington O, Morris-Jones S, Millard J, Marakalala MJ, Owolabi O, Sambou B, Zumla A, Sutherland JS, McHugh TD, Honeyborne I. Acetic Acid Enables Molecular Enumeration of Mycobacterium tuberculosis from Sputum and Eliminates the Need for a Biosafety Level 3 Laboratory. Clin Chem 2024; 70:642-652. [PMID: 38479728 DOI: 10.1093/clinchem/hvae013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 12/08/2023] [Indexed: 04/04/2024]
Abstract
BACKGROUND Improved monitoring of Mycobacterium tuberculosis response to treatment is urgently required. We previously developed the molecular bacterial load assay (MBLA), but it is challenging to integrate into the clinical diagnostic laboratory due to a labor-intensive protocol required at biosafety level 3 (BSL-3). A modified assay was needed. METHODS The rapid enumeration and diagnostic for tuberculosis (READ-TB) assay was developed. Acetic acid was tested and compared to 4 M guanidine thiocyanate to be simultaneously bactericidal and preserve mycobacterial RNA. The extraction was based on silica column technology and incorporated low-cost reagents: 3 M sodium acetate and ethanol for the RNA extraction to replace phenol-chloroform. READ-TB was fully validated and compared directly to the MBLA using sputa collected from individuals with tuberculosis. RESULTS Acetic acid was bactericidal to M. tuberculosis with no significant loss in 16S rRNA or an unprotected mRNA fragment when sputum was stored in acetic acid at 25°C for 2 weeks or -20°C for 1 year. This novel use of acetic acid allows processing of sputum for READ-TB at biosafety level 2 (BSL-2) on sample receipt. READ-TB is semiautomated and rapid. READ-TB correlated with the MBLA when 85 human sputum samples were directly compared (R2 = 0.74). CONCLUSIONS READ-TB is an improved version of the MBLA and is available to be adopted by clinical microbiology laboratories as a tool for tuberculosis treatment monitoring. READ-TB will have a particular impact in low- and middle-income countries (LMICs) for laboratories with no BSL-3 laboratory and for clinical trials testing new combinations of anti-tuberculosis drugs.
Collapse
Affiliation(s)
- Ana Palekyte
- Centre for Clinical Microbiology, Division of Infection and Immunity, University College London, London, United Kingdom
| | - Anna Morkowska
- Imperial College London, Infection and Immunity, Department of Microbiology, Charing Cross Hospital, London, United Kingdom
| | | | - Stephen Morris-Jones
- Department of Clinical Microbiology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - James Millard
- Liverpool Centre for Global Health Research, University of Liverpool, Liverpool, United Kingdom
- Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
- Africa Health Research Institute, Durban, South Africa
| | | | - Olumuyiwa Owolabi
- Vaccines and Immunity, MRC Unit The Gambia at The London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Basil Sambou
- Vaccines and Immunity, MRC Unit The Gambia at The London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Alimuddin Zumla
- Centre for Clinical Microbiology, Division of Infection and Immunity, University College London, London, United Kingdom
- National Institute of Health and Research Biomedical Research Centre, UCL Hospitals National Health Service Foundation Trust, London, United Kingdom
| | - Jayne S Sutherland
- Vaccines and Immunity, MRC Unit The Gambia at The London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Timothy D McHugh
- Centre for Clinical Microbiology, Division of Infection and Immunity, University College London, London, United Kingdom
| | - Isobella Honeyborne
- Centre for Clinical Microbiology, Division of Infection and Immunity, University College London, London, United Kingdom
| |
Collapse
|
6
|
Musisi E, Wamutu S, Ssengooba W, Kasiinga S, Sessolo A, Sanyu I, Kaswabuli S, Zawedde J, Byanyima P, Kia P, Muwambi W, Toskin DT, Kigozi E, Walbaum N, Dombay E, Legrady MB, Ssemambo KDM, Joloba M, Kuchaka D, Worodria W, Huang L, Gillespie SH, Sabiiti W. Accuracy of the tuberculosis molecular bacterial load assay to diagnose and monitor response to anti-tuberculosis therapy: a longitudinal comparative study with standard-of-care smear microscopy, Xpert MTB/RIF Ultra, and culture in Uganda. THE LANCET. MICROBE 2024; 5:e345-e354. [PMID: 38458206 DOI: 10.1016/s2666-5247(23)00367-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 09/18/2023] [Accepted: 10/31/2023] [Indexed: 03/10/2024]
Abstract
BACKGROUND In 2018, the tuberculosis molecular bacterial load assay (TB-MBLA), a ribosomal RNA-based test, was acknowledged by WHO as a molecular assay that could replace smear microscopy and culture for monitoring tuberculosis treatment response. In this study, we evaluated the accuracy of TB-MBLA for diagnosis and monitoring of treatment response in comparison with standard-of-care tests. METHODS For this longitudinal prospective study, patients aged 18 years or older with presumptive tuberculosis (coughing for at least 2 weeks, night sweats, and weight loss) were enrolled at China-Uganda Friendship Hospital Naguru (Kampala, Uganda). Participants were evaluated for tuberculosis by TB-MBLA in comparison with Xpert MTB/RIF Ultra (Xpert-Ultra) and smear microscopy, with Mycobacteria Growth Indicator Tube (MGIT) culture as a reference test. Participants who were positive on Xpert-Ultra were enrolled on a standard 6-month anti-tuberculosis regimen, and monitored for treatment response at weeks 2, 8, 17, and 26 after initiation of treatment and then 3 months after treatment. FINDINGS Between Nov 15, 2019, and June 15, 2022, 210 participants (median age 35 years [IQR 27-44]) were enrolled. 135 (64%) participants were male and 72 (34%) were HIV positive. The pretreatment diagnostic sensitivities of TB-MBLA and Xpert-Ultra were similar (both 99% [95% CI 95-100]) but the specificity was higher for TB-MBLA (90% [83-96]) than for Xpert-Ultra (78% [68-86]). Ten participants were Xpert-Ultra trace positive, eight (80%) of whom were negative by TB-MBLA and MGIT culture. Smear microscopy had lower diagnostic sensitivity (75% [65-83]) but higher specificity (98% [93-100]) than TB-MBLA and Xpert-Ultra. Among participants who were smear microscopy negative, the sensitivity of TB-MBLA was 96% (95 CI 80-100) and was 100% (95% CI 86-100) in those who were HIV positive. 129 (61%) participants were identified as tuberculosis positive by Xpert-Ultra and these individuals were enrolled in the treatment group and monitored for treatment response. According to TB-MBLA, 19 of these patients cleared bacillary load to zero by week 2 of treatment and remained negative throughout the 6-month treatment follow-up. Positivity for tuberculosis decreased with treatment as measured by all tests, but the rate was slower with Xpert-Ultra. Consequently, 31 (33%) of 95 participants were still Xpert-Ultra positive at the end of treatment but were clinically well and negative on TB-MBLA and culture at 6 months of treatment. Two patients were still Xpert-Ultra positive with a further 3 months of post-treatment follow-up. The rate of conversion to negative of the DNA-based Xpert-Ultra was 3·3-times slower than that of the rRNA-based TB-MBLA. Consequently for the same patient, it would take 13 weeks and 52 weeks to reach complete tuberculosis negativity by TB-MBLA and Xpert-Ultra, respectively. Participants who were positive on smear microscopy at 8 weeks, who received an extra month of intensive treatment, had a similar TB-MBLA-measured bacillary load at 8 weeks to those who were smear microscopy negative. INTERPRETATION TB-MBLA has a similar performance to Xpert-Ultra for pretreatment diagnosis of tuberculosis, but is more accurate at detecting and characterising the response to treatment than Xpert-Ultra and standard-of-care smear microscopy. FUNDING European and Developing Countries Clinical Trials Partnership, Makerere University Research and Innovation Fund, US National Institutes of Health.
Collapse
Affiliation(s)
- Emmanuel Musisi
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK; Infectious Diseases Research Collaboration, Kampala, Uganda
| | - Samuel Wamutu
- Department of Biochemistry and Sports Sciences, Makerere University, Kampala, Uganda
| | - Willy Ssengooba
- BSL-3 Mycobacteriology Laboratory, Department of Medical Microbiology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda; Medical and Molecular Laboratories (MML), Kampala, Uganda
| | | | | | - Ingvar Sanyu
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | | | | | | | - Praiscillia Kia
- BSL-3 Mycobacteriology Laboratory, Department of Medical Microbiology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda
| | - William Muwambi
- BSL-3 Mycobacteriology Laboratory, Department of Medical Microbiology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Divine Tracy Toskin
- BSL-3 Mycobacteriology Laboratory, Department of Medical Microbiology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Edgar Kigozi
- BSL-3 Mycobacteriology Laboratory, Department of Medical Microbiology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Natasha Walbaum
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK
| | - Evelin Dombay
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK
| | | | - Kizza David-Martin Ssemambo
- BSL-3 Mycobacteriology Laboratory, Department of Medical Microbiology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda; Medical and Molecular Laboratories (MML), Kampala, Uganda
| | - Moses Joloba
- BSL-3 Mycobacteriology Laboratory, Department of Medical Microbiology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda; Medical and Molecular Laboratories (MML), Kampala, Uganda
| | - Davis Kuchaka
- Kilimanjaro Clinical Research Institute, Kilimanjaro, Tanzania
| | | | - Laurence Huang
- Infectious Diseases Research Collaboration, Kampala, Uganda; Division of Pulmonary and Critical Care Medicine and Division of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Stephen H Gillespie
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK
| | - Wilber Sabiiti
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK.
| |
Collapse
|
7
|
Zhang F, Zhang F, Dong Y, Li L, Pang Y. New Insights into Biomarkers for Evaluating Therapy Efficacy in Pulmonary Tuberculosis: A Narrative Review. Infect Dis Ther 2023; 12:2665-2689. [PMID: 37938418 PMCID: PMC10746651 DOI: 10.1007/s40121-023-00887-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 10/20/2023] [Indexed: 11/09/2023] Open
Abstract
Evaluating therapy efficacy is crucial for patients with tuberculosis (TB), especially those with drug-resistant tuberculosis (DR-TB). The World Health Organization currently recommends sputum smear and culture as the standard methods for evaluating pulmonary tuberculosis (PTB) therapy efficacy. However, these approaches have limitations including low sensitivity, lengthy culture periods, and susceptibility to contamination. There is an urgent need for dependable biomarkers to evaluate therapy efficacy in patients with PTB. Numerous new biomarkers of Mycobacterium tuberculosis (MTB) and the host have been used in recent studies to evaluate PTB therapy efficacy. A systematic review and update of these biomarkers can facilitate the discovery of novel biomarkers and assessment models, as well as provide a solid scientific basis for alternative indicators of evaluating therapy efficacy. In this review we summarize the recent advancements and limitations of biomarkers used to monitor therapy efficacy, highlighting the importance of utilizing a combination of biomarkers. Although some biomarkers have potential in evaluating the efficacy of therapy in patients with PTB, they also have some limitations. Further research, validation, and optimization are required to identify the most reliable and effective alternative biomarkers and apply them to clinical practice.
Collapse
Affiliation(s)
- Fuzhen Zhang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, No. 97, Machang, Tongzhou District, Beijing, 101149, People's Republic of China
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, People's Republic of China
| | - Fan Zhang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, People's Republic of China
| | - Yu Dong
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, No. 97, Machang, Tongzhou District, Beijing, 101149, People's Republic of China
| | - Liang Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, No. 97, Machang, Tongzhou District, Beijing, 101149, People's Republic of China.
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, People's Republic of China.
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, No. 97, Machang, Tongzhou District, Beijing, 101149, People's Republic of China.
| |
Collapse
|
8
|
Lyons MA, Obregon-Henao A, Ramey ME, Bauman AA, Pauly S, Rossmassler K, Reid J, Karger B, Walter ND, Robertson GT. Use of Multiple Pharmacodynamic Measures to Deconstruct the Nix-TB Regimen in a Short-Course Murine Model of Tuberculosis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.08.566205. [PMID: 37986955 PMCID: PMC10659381 DOI: 10.1101/2023.11.08.566205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
A major challenge for tuberculosis (TB) drug development is to prioritize promising combination regimens from a large and growing number of possibilities. This includes demonstrating individual drug contributions to the activity of higher-order combinations. A BALB/c mouse TB infection model was used to evaluate the contributions of each drug and pairwise combination in the clinically relevant Nix-TB regimen (bedaquiline-pretomanid-linezolid [BPaL]) during the first three weeks of treatment at human equivalent doses. RS ratio, an exploratory pharmacodynamic (PD) marker of ongoing Mycobacterium tuberculosis rRNA synthesis, to-gether with solid culture CFU and liquid culture time to positivity (TTP) were used as PD markers of treatment response in lung tissue; and their time course profiles were mathematically modeled using rate equations with pharmacologically interpretable parameters. Antimicrobial interactions were quantified using Bliss independence and Isserlis formulas. Subadditive (or antagonistic) and additive effects on bacillary load, assessed by CFU and TTP, were found for bedaquiline-pretomanid and linezolid-containing pairs, respectively. In contrast, subadditive and additive effects on rRNA synthesis were found for pretomanid-linezolid and bedaquiline-containing pairs, respectively. Additionally, accurate predictions of the response to BPaL for all three PD markers were made using only the single-drug and pairwise effects together with an assumption of negligible three-way drug interactions. The results represent an experimental and PD modeling approach aimed at reducing combinatorial complexity and improving the cost-effectiveness of in vivo systems for preclinical TB regimen development.
Collapse
|
9
|
Kontsevaya I, Cabibbe AM, Cirillo DM, DiNardo AR, Frahm N, Gillespie SH, Holtzman D, Meiwes L, Petruccioli E, Reimann M, Ruhwald M, Sabiiti W, Saluzzo F, Tagliani E, Goletti D. Update on the diagnosis of tuberculosis. Clin Microbiol Infect 2023:S1198-743X(23)00340-3. [PMID: 37490968 DOI: 10.1016/j.cmi.2023.07.014] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 07/11/2023] [Accepted: 07/18/2023] [Indexed: 07/27/2023]
Abstract
BACKGROUND Tuberculosis (TB) remains a global public health threat, and the development of rapid and precise diagnostic tools is the key to enabling the early start of treatment, monitoring response to treatment, and preventing the spread of the disease. OBJECTIVES An overview of recent progress in host- and pathogen-based TB diagnostics. SOURCES We conducted a PubMed search of recent relevant articles and guidelines on TB screening and diagnosis. CONTENT An overview of currently used methods and perspectives in the following areas of TB diagnostics is provided: immune-based diagnostics, X-ray, clinical symptoms and scores, cough detection, culture of Mycobacterium tuberculosis and identifying its resistance profile using phenotypic and genotypic methods, including next-generation sequencing, sputum- and non-sputum-based molecular diagnosis of TB and monitoring of response to treatment. IMPLICATIONS A brief overview of the most relevant advances and changes in international guidelines regarding screening and diagnosing TB is provided in this review. It aims at reviewing all relevant areas of diagnostics, including both pathogen- and host-based methods.
Collapse
Affiliation(s)
- Irina Kontsevaya
- Division of Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany; Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany; Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, United Kingdom.
| | | | - Daniela Maria Cirillo
- Emerging Bacterial Pathogens Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Andrew R DiNardo
- Global TB Program, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA; Department of Internal Medicine and Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen, The Netherlands
| | - Nicole Frahm
- Clinical Development, Bill & Melinda Gates Medical Research Institute, Cambridge, MA, USA
| | | | - David Holtzman
- Clinical Development, Bill & Melinda Gates Medical Research Institute, Cambridge, MA, USA; Section of Infectious Diseases, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Lennard Meiwes
- Division of Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany; Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany
| | - Elisa Petruccioli
- Translational Research Unit, National Institute for Infectious Diseases (INMI) "Lazzaro Spallanzani" - IRCCS, Rome, Italy
| | - Maja Reimann
- Division of Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany; Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany
| | | | - Wilber Sabiiti
- School of Medicine, University of St Andrews, St Andrews, United Kingdom
| | - Francesca Saluzzo
- Emerging Bacterial Pathogens Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Elisa Tagliani
- Emerging Bacterial Pathogens Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Delia Goletti
- Translational Research Unit, National Institute for Infectious Diseases (INMI) "Lazzaro Spallanzani" - IRCCS, Rome, Italy
| |
Collapse
|
10
|
Mapamba DA, Sauli E, Lalashowi J, Buza J, John J, Mwaisango Z, Tarmo P, Sabi I, Rachow A, Ntinginya NE, Mtafya B. Performance of Tuberculosis Molecular Bacterial Load Assay Compared to Alere TB-LAM in Urine of Pulmonary Tuberculosis Patients with HIV Co-Infections. Int J Mol Sci 2023; 24:ijms24043715. [PMID: 36835127 PMCID: PMC9965206 DOI: 10.3390/ijms24043715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/20/2023] [Accepted: 02/03/2023] [Indexed: 02/17/2023] Open
Abstract
Alternative tools are needed to improve the detection of M. tuberculosis (M. tb) in HIV co-infections. We evaluated the utility of Tuberculosis Molecular Bacterial Load Assay (TB-MBLA) compared to lipoarabinomannan (LAM) to detect M. tb in urine. Sputum Xpert MTB/RIF-positive patients were consented to provide urine at baseline, weeks 2, 8, 16, and 24 of treatment for TB-MBLA, culture, and LAM. Results were compared with sputum cultures and microscopy. Initial M. tb. H37Rv spiking experiments were performed to validate the tests. A total of 63 urine samples from 47 patients were analyzed. The median age (IQR) was 38 (30-41) years; 25 (53.2%) were male, 3 (6.5%) had urine for all visits, 45 (95.7%) were HIV positive, of whom 18 (40%) had CD4 cell counts below 200 cells/µL, and 33 (73.3%) were on ART at enrollment. Overall urine LAM positivity was 14.3% compared to 4.8% with TB-MBLA. Culture and microscopy of their sputum counterparts were positive in 20.6% and 12.7% of patients, respectively. Of the three patients with urine and sputum at baseline, one (33.33%) had urine TB-MBLA and LAM positive compared to 100% with sputum MGIT culture positive. Spearman's rank correction coefficient (r) between TB-MBLA and MGIT was -0.85 and 0.89 with a solid culture, p > 0.05. TB-MBLA has the promising potential to improve M. tb detection in urine of HIV-co-infected patients and complement current TB diagnostics.
Collapse
Affiliation(s)
- Daniel Adon Mapamba
- National Institute for Medical Research—Mbeya Medical Research Centre (NIM-MMRC), Mbeya P.O. Box 2410, Tanzania
- The Nelson Mandela African Institution of Science and Technology, Arusha P.O. Box 447, Tanzania
- Correspondence: ; Tel.: +255-25-250-3364
| | - Elingarami Sauli
- The Nelson Mandela African Institution of Science and Technology, Arusha P.O. Box 447, Tanzania
| | - Julieth Lalashowi
- National Institute for Medical Research—Mbeya Medical Research Centre (NIM-MMRC), Mbeya P.O. Box 2410, Tanzania
| | - Joram Buza
- The Nelson Mandela African Institution of Science and Technology, Arusha P.O. Box 447, Tanzania
| | - Joseph John
- National Institute for Medical Research—Mbeya Medical Research Centre (NIM-MMRC), Mbeya P.O. Box 2410, Tanzania
| | - Zawadi Mwaisango
- National Institute for Medical Research—Mbeya Medical Research Centre (NIM-MMRC), Mbeya P.O. Box 2410, Tanzania
| | - Peter Tarmo
- National Institute for Medical Research—Mbeya Medical Research Centre (NIM-MMRC), Mbeya P.O. Box 2410, Tanzania
| | - Issa Sabi
- National Institute for Medical Research—Mbeya Medical Research Centre (NIM-MMRC), Mbeya P.O. Box 2410, Tanzania
| | - Andrea Rachow
- Division of Infectious Diseases and Tropical Medicine, Medical Centre of the University of Munich (LMU), 80802 Munich, Germany
- German Center for Infection Research (DZIF), Partner Site Munich, 81675 Munich, Germany
| | - Nyanda Elias Ntinginya
- National Institute for Medical Research—Mbeya Medical Research Centre (NIM-MMRC), Mbeya P.O. Box 2410, Tanzania
| | - Bariki Mtafya
- National Institute for Medical Research—Mbeya Medical Research Centre (NIM-MMRC), Mbeya P.O. Box 2410, Tanzania
| |
Collapse
|
11
|
Ludi Z, Sule AA, Samy RP, Putera I, Schrijver B, Hutchinson PE, Gunaratne J, Verma I, Singhal A, Nora RLD, van Hagen PM, Dik WA, Gupta V, Agrawal R. Diagnosis and biomarkers for ocular tuberculosis: From the present into the future. Theranostics 2023; 13:2088-2113. [PMID: 37153734 PMCID: PMC10157737 DOI: 10.7150/thno.81488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 03/19/2023] [Indexed: 05/10/2023] Open
Abstract
Tuberculosis is an airborne disease caused by Mycobacterium tuberculosis (Mtb) and can manifest both pulmonary and extrapulmonary disease, including ocular tuberculosis (OTB). Accurate diagnosis and swift optimal treatment initiation for OTB is faced by many challenges combined with the lack of standardized treatment regimens this results in uncertain OTB outcomes. The purpose of this study is to summarize existing diagnostic approaches and recently discovered biomarkers that may contribute to establishing OTB diagnosis, choice of anti-tubercular therapy (ATT) regimen, and treatment monitoring. The keywords ocular tuberculosis, tuberculosis, Mycobacterium, biomarkers, molecular diagnosis, multi-omics, proteomics, genomics, transcriptomics, metabolomics, T-lymphocytes profiling were searched on PubMed and MEDLINE databases. Articles and books published with at least one of the keywords were included and screened for relevance. There was no time limit for study inclusion. More emphasis was placed on recent publications that contributed new information about the pathogenesis, diagnosis, or treatment of OTB. We excluded abstracts and articles that were not written in the English language. References cited within the identified articles were used to further supplement the search. We found 10 studies evaluating the sensitivity and specificity of interferon-gamma release assay (IGRA), and 6 studies evaluating that of tuberculin skin test (TST) in OTB patients. IGRA (Sp = 71-100%, Se = 36-100%) achieves overall better sensitivity and specificity than TST (Sp = 51.1-85.7%; Se = 70.9-98.5%). For nuclear acid amplification tests (NAAT), we found 7 studies on uniplex polymerase chain reaction (PCR) with different Mtb targets, 7 studies on DNA-based multiplex PCR, 1 study on mRNA-based multiplex PCR, 4 studies on loop-mediated isothermal amplification (LAMP) assay with different Mtb targets, 3 studies on GeneXpert assay, 1 study on GeneXpert Ultra assay and 1 study for MTBDRplus assay for OTB. Specificity is overall improved but sensitivity is highly variable for NAATs (excluding uniplex PCR, Sp = 50-100%; Se = 10.5-98%) as compared to IGRA. We also found 3 transcriptomic studies, 6 proteomic studies, 2 studies on stimulation assays, 1 study on intraocular protein analysis and 1 study on T-lymphocyte profiling in OTB patients. All except 1 study evaluated novel, previously undiscovered biomarkers. Only 1 study has been externally validated by a large independent cohort. Future theranostic marker discovery by a multi-omics approach is essential to deepen pathophysiological understanding of OTB. Combined these might result in swift, optimal and personalized treatment regimens to modulate the heterogeneous mechanisms of OTB. Eventually, these studies could improve the current cumbersome diagnosis and management of OTB.
Collapse
Affiliation(s)
- Zhang Ludi
- Lee Kong Chian School of Medicine, Nanyang Technological University of Singapore, Singapore
| | - Ashita Ashish Sule
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ramar Perumal Samy
- National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore, Singapore
| | - Ikhwanuliman Putera
- Department of Ophthalmology, Faculty of Medicine Universitas Indonesia - CiptoMangunkusmoKirana Eye Hospital, Jakarta, Indonesia
- Laboratory Medical Immunology, Department of Immunology, ErasmusMC, UniversityMedical Centre, Rotterdam, the Netherlands
- Department of Internal Medicine, Division of Clinical Immunology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- Department of Ophthalmology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Benjamin Schrijver
- Laboratory Medical Immunology, Department of Immunology, ErasmusMC, UniversityMedical Centre, Rotterdam, the Netherlands
| | - Paul Edward Hutchinson
- Immunology Programme, Life Sciences Institute, National University of Singapore, Singapore, Singapore
| | - Jayantha Gunaratne
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Indu Verma
- Department of Biochemistry, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Amit Singhal
- Lee Kong Chian School of Medicine, Nanyang Technological University of Singapore, Singapore
- A*SATR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Rina La Distia Nora
- Department of Ophthalmology, Faculty of Medicine Universitas Indonesia - CiptoMangunkusmoKirana Eye Hospital, Jakarta, Indonesia
- Laboratory Medical Immunology, Department of Immunology, ErasmusMC, UniversityMedical Centre, Rotterdam, the Netherlands
- University of Indonesia Hospital (RSUI), Depok, West Java, Indonesia
| | - P. Martin van Hagen
- Laboratory Medical Immunology, Department of Immunology, ErasmusMC, UniversityMedical Centre, Rotterdam, the Netherlands
- Department of Internal Medicine, Division of Clinical Immunology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Willem A Dik
- Laboratory Medical Immunology, Department of Immunology, ErasmusMC, UniversityMedical Centre, Rotterdam, the Netherlands
| | - Vishali Gupta
- Advanced Eye Centre, Post-Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Rupesh Agrawal
- Lee Kong Chian School of Medicine, Nanyang Technological University of Singapore, Singapore
- National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore, Singapore
- Duke NUS Medical School, Singapore, Singapore
- Singapore Eye Research Institute, Singapore, Singapore
- National Institute for Health Research Biomedical Research Centre, Moorfields Eye Hospital, London, UK
- School of Pharmacy, Nantong University, Nantong, P. R. China
- Department of Mechanical Engineering, University College London, London, United Kingdom
- ✉ Corresponding author: A/Prof (Dr) Rupesh Agrawal, Senior Consultant, National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore 308433,
| |
Collapse
|
12
|
Khor LA, A. Wahid UNI, Ling LL, Liansim SMS, Oon J, Balakrishnan MN, Ng WL, Cheong AT. Prevalence and associated factors of delayed sputum smear conversion in patients treated for smear positive pulmonary tuberculosis: A retrospective follow up study in Sabah, Malaysia. PLoS One 2023; 18:e0282733. [PMID: 36877714 PMCID: PMC9987811 DOI: 10.1371/journal.pone.0282733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 02/20/2023] [Indexed: 03/07/2023] Open
Abstract
INTRODUCTION Tuberculosis remains a major health problem globally and in Malaysia, particularly in the state of Sabah. Delayed sputum conversion is associated with treatment failure, drug-resistant tuberculosis and mortality. We aimed to determine the prevalence of delayed sputum conversion among smear positive pulmonary tuberculosis (PTB) patients and its associated factors in Sabah, Malaysia. METHODS A retrospective follow up study on all patients newly diagnosed with smear positive pulmonary tuberculosis from 2017 to 2019 was conducted at three government health clinics in Sabah, utilizing data from a national electronic tuberculosis database and medical records. Descriptive statistics and binary logistic regression were applied for data analysis. The outcome of the study was the sputum conversion status at the end of the two-month intensive treatment phase with either successful conversion to smear negative or non-conversion. RESULTS 374 patients were included in the analysis. Our patients were generally younger than 60 years old with no medical illness and varying proportions of tuberculosis severity as judged by radiographic appearance and sputum bacillary load upon diagnosis. Foreigners constituted 27.8% of our sample. 8.8% (confidence interval: 6.2-12.2) did not convert to smear negative at the end of the intensive phase. Binary logistic regression showed that older patients ≥60 years old (adjusted odds ratio, AOR = 4.303), foreigners (AOR = 3.184) and patients with higher sputum bacillary load at diagnosis [2+ (AOR = 5.061) and 3+ (AOR = 4.992)] were more likely to have delayed sputum smear conversion. CONCLUSION The prevalence of delayed sputum conversion in our study was considerably low at 8.8% with age ≥60 years old, foreigners and higher pre-treatment sputum bacillary load associated with delayed conversion. Healthcare providers should take note of these factors and ensure the patients receive proper follow up treatment.
Collapse
Affiliation(s)
| | | | - Lee Lee Ling
- Tamparuli Health Clinic, Tuaran, Sabah, Malaysia
| | | | - Jush’n Oon
- Penampang Health Clinic, Penampang, Sabah, Malaysia
| | | | - Wei Leik Ng
- Department of Primary Care Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
- * E-mail: (WLN); (ATC)
| | - Ai Theng Cheong
- Department of Family Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
- * E-mail: (WLN); (ATC)
| |
Collapse
|
13
|
A practical approach to render tuberculosis samples safe for application of tuberculosis molecular bacterial load assay in clinical settings without a biosafety level 3 laboratory. Tuberculosis (Edinb) 2023; 138:102275. [PMID: 36434867 DOI: 10.1016/j.tube.2022.102275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 11/05/2022] [Accepted: 11/12/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND Mycobacterium tuberculosis is a category B infectious pathogen requiring level-3-containment laboratories for handling. We assessed the efficacy of heat and Guanidine thiocyanate (GTC) to inactivate M. tuberculosis prior to performance of tuberculosis Molecular Bacterial Load Assay (TB-MBLA). METHOD We performed in vitro experiments using M.tb, H37Rv reference strain and replicated in sputum specimens. A 0.5 MacFarland standard of M. tuberculosis was serially diluted to 1x101 CFU/mL and pooled sputum was homogenised prior to serial dilutions and Xpert MTB/RIF Ultra. Three replicates for each containing 1 mL for M. tuberculosis and sputum were inactivated at 80 °C for 20 min and with GTC for 15 min. Inactivated samples were processed for culture and TB-MBLA. RESULTS No M. tuberculosis growth was observed in MGIT for GTC or heat treated H37Rv cultures. All untreated H37Rv dilutions were MGIT positive except the most diluted specimens. Heat and GTC treatment of H37Rv reduced TB-MBLA load by 2.1log10 (P = 0.7) and 1.8log10 (P = 0.7) respectively, compared to controls. In contrast, heat treated sputum had TB-MBLA bacterial load of 3.47 ± 3.53 log10 compared to 5.4 ± 3.1 log10 eCFU/mL for GTC (p = 0.57). All heat and GTC treated sputum were culture negative. CONCLUSION Heat or GTC renders M. tuberculosis non-viable and eliminates the need for BSL3 laboratory for performing TB-MBLA in routine healthcare settings.
Collapse
|
14
|
Alffenaar JWC, de Steenwinkel JEM, Diacon AH, Simonsson USH, Srivastava S, Wicha SG. Pharmacokinetics and pharmacodynamics of anti-tuberculosis drugs: An evaluation of in vitro, in vivo methodologies and human studies. Front Pharmacol 2022; 13:1063453. [PMID: 36569287 PMCID: PMC9780293 DOI: 10.3389/fphar.2022.1063453] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 11/22/2022] [Indexed: 12/13/2022] Open
Abstract
There has been an increased interest in pharmacokinetics and pharmacodynamics (PKPD) of anti-tuberculosis drugs. A better understanding of the relationship between drug exposure, antimicrobial kill and acquired drug resistance is essential not only to optimize current treatment regimens but also to design appropriately dosed regimens with new anti-tuberculosis drugs. Although the interest in PKPD has resulted in an increased number of studies, the actual bench-to-bedside translation is somewhat limited. One of the reasons could be differences in methodologies and outcome assessments that makes it difficult to compare the studies. In this paper we summarize most relevant in vitro, in vivo, in silico and human PKPD studies performed to optimize the drug dose and regimens for treatment of tuberculosis. The in vitro assessment focuses on MIC determination, static time-kill kinetics, and dynamic hollow fibre infection models to investigate acquisition of resistance and killing of Mycobacterium tuberculosis populations in various metabolic states. The in vivo assessment focuses on the various animal models, routes of infection, PK at the site of infection, PD read-outs, biomarkers and differences in treatment outcome evaluation (relapse and death). For human PKPD we focus on early bactericidal activity studies and inclusion of PK and therapeutic drug monitoring in clinical trials. Modelling and simulation approaches that are used to evaluate and link the different data types will be discussed. We also describe the concept of different studies, study design, importance of uniform reporting including microbiological and clinical outcome assessments, and modelling approaches. We aim to encourage researchers to consider methods of assessing and reporting PKPD of anti-tuberculosis drugs when designing studies. This will improve appropriate comparison between studies and accelerate the progress in the field.
Collapse
Affiliation(s)
- Jan-Willem C. Alffenaar
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia,School of Pharmacy, The University of Sydney Faculty of Medicine and Health, Sydney, NSW, Australia,Westmead Hospital, Sydney, NSW, Australia,*Correspondence: Jan-Willem C. Alffenaar,
| | | | | | | | - Shashikant Srivastava
- Department of Pulmonary Immunology, University of Texas Health Science Center at Tyler, Tyler, TX, United States
| | - Sebastian G. Wicha
- Department of Clinical Pharmacy, Institute of Pharmacy, University of Hamburg, Hamburg, Germany
| |
Collapse
|
15
|
Mtafya B, Sabi I, John J, Sichone E, Olomi W, Gillespie SH, Ntinginya NE, Sabiiti W. Systematic assessment of clinical and bacteriological markers for tuberculosis reveals discordance and inaccuracy of symptom-based diagnosis for treatment response monitoring. Front Med (Lausanne) 2022; 9:992451. [DOI: 10.3389/fmed.2022.992451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 09/28/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundClinical symptoms are the benchmark of tuberculosis (TB) diagnosis and monitoring of treatment response but are not clear how they relate to TB bacteriology, particularly the novel tuberculosis-molecular bacterial load assay (TB-MBLA).MethodsPresumptive cases were bacteriologically confirmed for TB and assessed for symptoms and bacteriological resolution using smear microscopy (SM), culture, and TB-MBLA over 6-month treatment course. Kaplan–Meier and Kappa statistics were used to test the relationship between symptoms and bacteriological positivity.ResultsA cohort of 46 bacteriologically confirmed TB cases were analyzed for treatment response over a 6-month treatment course. Pre-treatment symptoms and bacteriological positivity concurred in over 70% of the cases. This agreement was lost in over 50% of cases whose chest pain, night sweat, and loss of appetite had resolved by week 2 of treatment. Cough resolved at a 3.2% rate weekly and was 0.3% slower than the combined bacteriological (average of MGIT and TB-MBLA positivity) resolution rate, 3.5% per week. A decrease in TB-MBLA positivity reflected a fall in bacillary load, 5.7 ± 1.3- at baseline to 0.30 ± 1.0- log10 eCFU/ml at month 6, and closer to cough resolution than other bacteriological measures, accounting for the only one bacteriologically positive case out of seven still coughing at month 6. Low baseline bacillary load patients were more likely to be bacteriologically negative, HR 5.6, p = 0.003 and HR 3.2, p = 0.014 by months 2 and 6 of treatment, respectively.ConclusionThe probability of clinical symptoms reflecting bacteriological positivity weakens as the patient progresses on anti-TB therapy, making the symptom-based diagnosis a less reliable marker of treatment response.
Collapse
|
16
|
Zainabadi K, Lee MH, Walsh KF, Vilbrun SC, Mathurin LD, Ocheretina O, Pape JW, Fitzgerald DW. An optimized method for purifying, detecting and quantifying Mycobacterium tuberculosis RNA from sputum for monitoring treatment response in TB patients. Sci Rep 2022; 12:17382. [PMID: 36253384 PMCID: PMC9574834 DOI: 10.1038/s41598-022-19985-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 09/07/2022] [Indexed: 02/05/2023] Open
Abstract
Diagnostics that more accurately detect and quantify viable Mycobacterium tuberculosis (Mtb) in the sputum of patients undergoing therapy are needed. Current culture- and molecular-based tests have shown limited efficacy for monitoring treatment response in TB patients, either due to the presence of viable sub-populations of Mtb which fail to grow under standard culture conditions (termed differentially detectable/culturable Mtb, DD Mtb) or the prolonged half-life of Mtb DNA in sputum. Here, we report an optimized RNA-based method for detecting and quantifying viable Mtb from patient sputum during the course of therapy. We first empirically derived a novel RNA extraction protocol from sputum that improves recovery of Mtb RNA while almost completely eliminating contamination from Mtb DNA and host nucleic acids. Next, we identified five Mtb 16S rRNA primer sets with varying limits of detection that were capable of distinguishing between live versus dead H37Rv Mtb. This combined protocol was then tested on sputa from a longitudinal cohort of patients receiving therapy for drug sensitive (DS) or drug resistant (DR) TB with first-line or second-line regimens, respectively. Results were compared with that of culture, including CFU, BACTEC MGIT, and a limiting dilution assay capable of detecting DD Mtb. The five 16S rRNA primer sets positively identified nearly all (range 94-100%) culture positive sputa, and a portion (19-37%) of culture negative sputa. In comparison, ten highly expressed Mtb mRNAs showed positivity in 72-86% of culture positive sputa, and in 0-13% of culture negative sputa. Two of the five 16S rRNA primer sets were able to positively identify 100% of culture positive sputa, and when tested on culture negative sputa from the DS cohort at 2 months post-initiation of therapy, identified 40% of samples as positive; a percentage that is in line with expected treatment failure rates when first-line therapy is discontinued early. These two primer sets also detected 16S rRNA in 13-20% of sputa at 6 months post-initiation of therapy in the DR cohort. Cycle threshold values for 16S rRNA showed a strong correlation with Mtb numbers as determined by culture (R > 0.87), including as Mtb numbers declined during the course of treatment with first-line and second-line regimens. The optimized molecular assay outlined here may have utility for monitoring treatment response in TB patients.
Collapse
Affiliation(s)
- Kayvan Zainabadi
- Center for Global Health, Weill Cornell Medicine, New York, NY, USA.
| | - Myung Hee Lee
- Center for Global Health, Weill Cornell Medicine, New York, NY, USA
| | - Kathleen Frances Walsh
- Center for Global Health, Weill Cornell Medicine, New York, NY, USA
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | | | | | | | - Jean William Pape
- Center for Global Health, Weill Cornell Medicine, New York, NY, USA
- Les Centres GHESKIO, Port-au-Prince, Haiti
| | | |
Collapse
|
17
|
Heyckendorf J, Georghiou SB, Frahm N, Heinrich N, Kontsevaya I, Reimann M, Holtzman D, Imperial M, Cirillo DM, Gillespie SH, Ruhwald M. Tuberculosis Treatment Monitoring and Outcome Measures: New Interest and New Strategies. Clin Microbiol Rev 2022; 35:e0022721. [PMID: 35311552 PMCID: PMC9491169 DOI: 10.1128/cmr.00227-21] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Despite the advent of new diagnostics, drugs and regimens, tuberculosis (TB) remains a global public health threat. A significant challenge for TB control efforts has been the monitoring of TB therapy and determination of TB treatment success. Current recommendations for TB treatment monitoring rely on sputum and culture conversion, which have low sensitivity and long turnaround times, present biohazard risk, and are prone to contamination, undermining their usefulness as clinical treatment monitoring tools and for drug development. We review the pipeline of molecular technologies and assays that serve as suitable substitutes for current culture-based readouts for treatment response and outcome with the potential to change TB therapy monitoring and accelerate drug development.
Collapse
Affiliation(s)
- Jan Heyckendorf
- Department of Medicine I, University Hospital Schleswig-Holstein, Kiel, Germany
- Division of Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany
- German Center for Infection Research (DZIF), Braunschweig, Germany
- International Health/Infectious Diseases, University of Lübeck, Lübeck, Germany
| | | | - Nicole Frahm
- Bill & Melinda Gates Medical Research Institute, Cambridge, Massachusetts, USA
| | - Norbert Heinrich
- Division of Infectious Diseases and Tropical Medicine, Medical Centre of the University of Munich (LMU), Munich, Germany
| | - Irina Kontsevaya
- Division of Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany
- German Center for Infection Research (DZIF), Braunschweig, Germany
- International Health/Infectious Diseases, University of Lübeck, Lübeck, Germany
| | - Maja Reimann
- Division of Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany
- German Center for Infection Research (DZIF), Braunschweig, Germany
- International Health/Infectious Diseases, University of Lübeck, Lübeck, Germany
| | - David Holtzman
- FIND, the Global Alliance for Diagnostics, Geneva, Switzerland
| | - Marjorie Imperial
- University of California San Francisco, San Francisco, California, USA, United States
| | - Daniela M. Cirillo
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Stephen H. Gillespie
- School of Medicine, University of St Andrewsgrid.11914.3c, St Andrews, Fife, Scotland
| | - Morten Ruhwald
- FIND, the Global Alliance for Diagnostics, Geneva, Switzerland
| | | |
Collapse
|
18
|
Marambire ET, Banze D, Mfinanga A, Mutsvangwa J, Mbunda TD, Ntinginya NE, Celso K, Kallenius G, Calderwood CJ, Geldmacher C, Held K, Appalarowthu T, Rieß F, Panzner U, Heinrich N, Kranzer K. Early risk assessment in paediatric and adult household contacts of confirmed tuberculosis cases by novel diagnostic tests (ERASE-TB): protocol for a prospective, non-interventional, longitudinal, multicountry cohort study. BMJ Open 2022; 12:e060985. [PMID: 36427173 PMCID: PMC9301805 DOI: 10.1136/bmjopen-2022-060985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION The WHO End-TB Strategy calls for the development of novel diagnostics to detect tuberculosis (TB) earlier and more accurately. Better diagnostics, together with tools to predict disease progression, are critical for achieving WHO End-TB targets. The Early Risk Assessment in TB Contacts by new diagnoStic tEsts (ERASE-TB) study aims to evaluate novel diagnostics and testing algorithms for early TB diagnosis and accurate prediction of disease progression among household contacts (HHCs) exposed to confirmed index cases in Mozambique, Tanzania and Zimbabwe. METHODS AND ANALYSIS A total of 2100 HHCs (aged ≥10 years) of adults with microbiologically-confirmed pulmonary TB will be recruited and followed up at 6-month intervals for 18-24 months. At each time point, a WHO symptom screen and digital chest radiograph (dCXR) will be performed, and blood and urine samples will be collected. Individuals screening positive (WHO symptom screen or dCXR) will be requested to provide sputum for Xpert MTB/Rif Ultra. At baseline, HHCs will also be screened for HIV, diabetes (HbA1c), chronic lung disease (spirometry), hypertension and anaemia. Study outcomes will be coprevalent TB (diagnosed at enrolment), incident TB (diagnosed during follow-up) or no TB at completion of follow-up. Novel diagnostics will be validated using fresh and biobanked samples with a nested case-control design. Cases are defined as HHCs diagnosed with TB (for early diagnosis) or with incident TB (for prediction of progression) and will be matched by age, sex and country to HHCs who remain healthy (controls). Statistical analyses will include assessment of diagnostic accuracy by constructing receiver operating curves and calculation of sensitivity and specificity. ETHICS AND DISSEMINATION ERASE-TB has been approved by regulatory and ethical committees in each African country and by each partner organisation. Consent, with additional assent for participants <18 years, is voluntary. Attestation by impartial witnesses is sought in case of illiteracy. Confidentiality of participants is being maintained throughout. Study findings will be presented at scientific conferences and published in peer-reviewed international journals. TRIAL REGISTRATION NUMBER NCT04781257.Cite Now.
Collapse
Affiliation(s)
| | - Denise Banze
- Instituto Nacional de Saúde, Marracuene, Mozambique
| | - Alfred Mfinanga
- National Institute for Medical Research- Mbeya Medical Research Centre, Mbeya, Tanzania
| | | | - Theodora D Mbunda
- National Institute for Medical Research- Mbeya Medical Research Centre, Mbeya, Tanzania
| | | | - Khosa Celso
- Instituto Nacional de Saúde, Marracuene, Mozambique
| | | | - Claire J Calderwood
- Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Christof Geldmacher
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany
- German Center for Infection Research (DZIF), Partner site Munich, Munich, Germany
| | - Kathrin Held
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany
- German Center for Infection Research (DZIF), Partner site Munich, Munich, Germany
| | - Tejaswi Appalarowthu
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany
- German Center for Infection Research (DZIF), Partner site Munich, Munich, Germany
| | - Friedrich Rieß
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany
- German Center for Infection Research (DZIF), Partner site Munich, Munich, Germany
| | - Ursula Panzner
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany
- German Center for Infection Research (DZIF), Partner site Munich, Munich, Germany
| | - Norbert Heinrich
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany
- German Center for Infection Research (DZIF), Partner site Munich, Munich, Germany
| | - Katharina Kranzer
- Biomedical Research and Training Institute, Harare, Zimbabwe
- Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany
| |
Collapse
|
19
|
Ntinginya NE, Bakuli A, Mapamba D, Sabiiti W, Kibiki G, Minja LT, Kuchaka D, Reither K, Phillips PPJ, Boeree MJ, Gillespie SH, Hoelscher M, Heinrich N. Tuberculosis Molecular Bacterial Load Assay Reveals Early Delayed Bacterial Killing in Patients With Relapse. Clin Infect Dis 2022; 76:e990-e994. [PMID: 35717643 PMCID: PMC9907486 DOI: 10.1093/cid/ciac445] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 05/25/2022] [Accepted: 06/01/2022] [Indexed: 11/13/2022] Open
Abstract
Bacterial killing in patients with tuberculosis (TB) relapse was compared to that in patients achieving cure, measured by TB molecular bacterial load assay (TB-MBLA) or mycobacteria growth indicator tube (MGIT) time to positivity (TTP). TB-MBLA in 4 relapsed patients was significantly different compared to 132 cured patients after 2 weeks of treatment; MGIT TTP showed a significant difference from week 8.
Collapse
Affiliation(s)
| | | | - Daniel Mapamba
- National Institute for Medical Research–Mbeya Medical Research Centre, Mbeya, United Republic of Tanzania
| | - Wilber Sabiiti
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, United Kingdom
| | - Gibson Kibiki
- East African Health Research Commission, Bujumbura, Burundi
| | | | - Davis Kuchaka
- Kilimanjaro Clinical Research Institute, Moshi, United Republic of Tanzania
| | - Klaus Reither
- Ifakara Health Institute,Dar Es Salaam, United Republic of Tanzania,Swiss Tropical and Public Health Institute, Basel, Switzerland,University of Basel, Basel, Switzerland
| | | | - Martin Johan Boeree
- Radboud Institute of Health Science, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Stephen H Gillespie
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, United Kingdom
| | - Michael Hoelscher
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany,German Center for Infection Research, Munich Partner Site, Munich, Germany
| | - Norbert Heinrich
- Correspondence: N. Heinrich, LMU Hospital, Division for Infectious Diseases and Tropical Medicine, Georgenstr 5, 80820 Munich, Germany ()
| | | |
Collapse
|
20
|
Hiza H, Hella J, Arbués A, Sasamalo M, Misana V, Fellay J, Gagneux S, Reither K, Portevin D. CD38 Expression by Antigen-Specific CD4 T Cells Is Significantly Restored 5 Months After Treatment Initiation Independently of Sputum Bacterial Load at the Time of Tuberculosis Diagnosis. Front Med (Lausanne) 2022; 9:821776. [PMID: 35492319 PMCID: PMC9051241 DOI: 10.3389/fmed.2022.821776] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 03/24/2022] [Indexed: 12/22/2022] Open
Abstract
T cell activation markers (TAM) expressed by antigen-specific T cells constitute promising candidates to attest the presence of an active infection by Mycobacterium tuberculosis (Mtb). Reciprocally, their modulation may be used to assess antibiotic treatment efficacy and eventually attest disease resolution. We hypothesized that the phenotype of Mtb-specific T cells may be quantitatively impacted by the load of bacteria present in a patient. We recruited 105 Tanzanian adult tuberculosis (TB) patients and obtained blood before and after 5 months of antibiotic treatment. We studied relationships between patients' clinical characteristics of disease severity and microbiological as well as molecular proxies of bacterial load in sputum at the time of diagnosis. Besides, we measured by flow cytometry the expression of CD38 or CD27 on CD4+ T cells producing interferon gamma (IFN-γ) and/or tumor necrosis factor alpha (TNF-α) in response to a synthetic peptide pool covering the sequences of Mtb antigens ESAT-6, CFP-10, and TB10.4. Reflecting the difficulty to extrapolate bacterial burden from a single end-point read-out, we observed statistically significant but weak correlations between Xpert MTB/RIF, molecular bacterial load assay and time to culture positivity. Unlike CD27, the resolution of CD38 expression by antigen-specific T cells was observed readily following 5 months of antibiotic therapy. However, the intensity of CD38-TAM signals measured at diagnosis did not significantly correlate with Mtb 16S RNA or rpoB DNA detected in patients' sputa. Altogether, our data support CD38-TAM as an accurate marker of infection resolution independently of sputum bacterial load.
Collapse
Affiliation(s)
- Hellen Hiza
- Ifakara Health Institute, Bagamoyo, Tanzania
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Jerry Hella
- Ifakara Health Institute, Bagamoyo, Tanzania
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Ainhoa Arbués
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Mohamed Sasamalo
- Ifakara Health Institute, Bagamoyo, Tanzania
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Veronica Misana
- Ifakara Health Institute, Bagamoyo, Tanzania
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Jacques Fellay
- School of Life Sciences, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Precision Medicine Unit, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Sébastien Gagneux
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Klaus Reither
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Damien Portevin
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
- *Correspondence: Damien Portevin
| |
Collapse
|
21
|
Combination of Mycobacterium tuberculosis RS Ratio and CFU Improves the Ability of Murine Efficacy Experiments to Distinguish between Drug Treatments. Antimicrob Agents Chemother 2022; 66:e0231021. [PMID: 35311519 PMCID: PMC9017352 DOI: 10.1128/aac.02310-21] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Murine tuberculosis drug efficacy studies have historically monitored bacterial burden based on CFU of Mycobacterium tuberculosis in lung homogenate. In an alternative approach, a recently described molecular pharmacodynamic marker called the RS ratio quantifies drug effect on a fundamental cellular process, ongoing rRNA synthesis. Here, we evaluated the ability of different pharmacodynamic markers to distinguish between treatments in three BALB/c mouse experiments at two institutions. We confirmed that different pharmacodynamic markers measure distinct biological responses. We found that a combination of pharmacodynamic markers distinguishes between treatments better than any single marker. The combination of the RS ratio with CFU showed the greatest ability to recapitulate the rank order of regimen treatment-shortening activity, providing proof of concept that simultaneous assessment of pharmacodynamic markers measuring different properties will enhance insight gained from animal models and accelerate development of new combination regimens. These results suggest potential for a new era in which antimicrobial therapies are evaluated not only on culture-based measures of bacterial burden but also on molecular assays that indicate how drugs impact the physiological state of the pathogen.
Collapse
|
22
|
High Mycobacterium tuberculosis Bacillary Loads Detected by Tuberculosis Molecular Bacterial Load Assay in Patient Stool: a Potential Alternative for Nonsputum Diagnosis and Treatment Response Monitoring of Tuberculosis. Microbiol Spectr 2022; 10:e0210021. [PMID: 35019686 PMCID: PMC8754106 DOI: 10.1128/spectrum.02100-21] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Not all patients produce sputum, yet most available TB tests use sputum. We investigated the utility of a novel RNA-based quantitative test, the tuberculosis molecular bacterial load assay (TB-MBLA), for the detection and quantification of Mycobacterium tuberculosis in stool. Stools from 100 adult individuals were treated with OMNIgene-sputum reagent and tested using Xpert MTB/RIF ultra (Xpert ultra), auramine O smear microscopy (smear), mycobacterial growth indicator tube (MGIT), and Lowenstein-Jensen (LJ) cultures. The remaining portions were frozen at −20°C and later tested by TB-MBLA. MGIT sputum culture was used as a TB confirmatory test and reference for stool tests. Sixty-one of 100 participants were already confirmed TB positive by MGIT sputum culture, 20 (33%) of whom were HIV coinfected. TB-MBLA detected M. tuberculosis in 57/100 stool samples, including 49 already confirmed for TB. The mean bacterial load measured by stool TB-MBLA was 5.67 ± 1.7 log10 estimated CFU (eCFU) per mL in HIV-coinfected participants, which was higher than the 4.83 ± 1.59 log10 eCFU per mL among the HIV-negative participants (P = 0.04). The sensitivities (95% confidence intervals [CI]) of stool assays were 80% (68 to 89) and 90% (79 to 98) for TB-MBLA and Xpert ultra, which were both higher than the 44% (32 to 58), 64% (51 to 76), and 62% (45 to 77) for smear, MGIT, and Lowenstein-Jensen (LJ) stool cultures, respectively. The specificity (95% CI) of stool assays was highest for smear, at 97% (87 to 100), followed by Xpert ultra at 91% (76 to 98), TB-MBLA at 79% (63 to 90), LJ at 80% (64 to 91), and MGIT at 62% (45 to 77). Twenty-six percent of MGIT and 21% of LJ stool cultures were indeterminate due to contamination. Detection and quantification of viable M. tuberculosis bacilli in stool raises its utility as an alternative to sputum as a sample type for TB diagnosis. IMPORTANCE This paper highlights the value of stool as a sample type for diagnosis of tuberculosis. While other studies have used DNA-based assays like the Xpert MTB/RIF and culture to detect Mycobacterium tuberculosis in stool, this is the first study that has applied TB-MBLA, an RNA-based assay, to quantify TB bacteria in stool. The high microbial density and diversity in stool compromises the specificity and sensitivity of culture-based tests due to overgrowth of non-M. tuberculosis flora. Consequently, TB-MBLA becomes the most sensitive and specific test for the detection and quantification of viable TB bacteria in stool. Most crucially, this study raises the possibility of a nonsputum alternative sample type for diagnosis of TB among people who have difficulty in producing sputum.
Collapse
|
23
|
Evangelopoulos D, Shoen CM, Honeyborne I, Clark S, Williams A, Mukamolova GV, Cynamon MH, McHugh TD. Culture-Free Enumeration of Mycobacterium tuberculosis in Mouse Tissues Using the Molecular Bacterial Load Assay for Preclinical Drug Development. Microorganisms 2022; 10:microorganisms10020460. [PMID: 35208914 PMCID: PMC8876813 DOI: 10.3390/microorganisms10020460] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 02/10/2022] [Accepted: 02/11/2022] [Indexed: 12/04/2022] Open
Abstract
Background: The turnaround times for phenotypic tests used to monitor the bacterial load of Mycobacterium tuberculosis, in both clinical and preclinical studies, are delayed by the organism’s slow growth in culture media. The existence of differentially culturable populations of M.tuberculosis may result in an underestimate of the true number. Moreover, culture methods are susceptible to contamination resulting in loss of critical data points. Objectives: We report the adaptation of our robust, culture-free assay utilising 16S ribosomal RNA, developed for sputum, to enumerate the number of bacteria present in animal tissues as a tool to improve the read-outs in preclinical drug efficacy studies. Methods: Initial assay adaptation was performed using naïve mouse lungs spiked with known quantities of M. tuberculosis and an internal RNA control. Tissues were homogenised, total RNA extracted, and enumeration performed using RT-qPCR. We then evaluated the utility of the assay, in comparison to bacterial counts estimated using growth assays on solid and liquid media, to accurately inform bacterial load in tissues from M. tuberculosis-infected mice before and during treatment with a panel of drug combinations. Results: When tested on lung tissues derived from infected mice, the MBL assay produced comparable results to the bacterial counts in solid culture (colony forming units: CFU). Notably, under specific drug treatments, the MBL assay was able to detect a significantly higher number of M. tuberculosis compared to CFU, likely indicating the presence of bacteria that were unable to produce colonies in solid-based culture. Additionally, growth recovery in liquid media using the most probable number (MPN) assay was able to account for the discrepancy between the MBL assay and CFU number, suggesting that the MBL assay detects differentially culturable sub-populations of M. tuberculosis. Conclusions: The MBL assay can enumerate the bacterial load in animal tissues in real time without the need to wait for extended periods for cultures to grow. The readout correlates well with CFUs. Importantly, we have shown that the MBL is able to measure specific populations of bacteria not cultured on solid agar. The adaptation of this assay for preclinical studies has the potential to decrease the readout time of data acquisition from animal experiments and could represent a valuable tool for tuberculosis drug discovery and development.
Collapse
Affiliation(s)
- Dimitrios Evangelopoulos
- Department of Microbial Diseases, UCL Eastman Dental Institute, University College London, London NW3 2PF, UK
- UCL Centre for Clinical Microbiology, University College London, London NW3 2PF, UK; (I.H.); (T.D.M.)
- Correspondence:
| | - Carolyn M. Shoen
- Veterans Administration Medical Center, Syracuse, NY 13210, USA; (C.M.S.); (M.H.C.)
- Veterans Health Research Institute, Syracuse, NY 13210, USA
| | - Isobella Honeyborne
- UCL Centre for Clinical Microbiology, University College London, London NW3 2PF, UK; (I.H.); (T.D.M.)
| | - Simon Clark
- UK Health Security Agency, Porton Down, Salisbury SP4 OJG, UK; (S.C.); (A.W.)
| | - Ann Williams
- UK Health Security Agency, Porton Down, Salisbury SP4 OJG, UK; (S.C.); (A.W.)
| | - Galina V. Mukamolova
- Leicester Tuberculosis Research Group, Department of Respiratory Sciences, University of Leicester, Leicester LE1 7RH, UK;
| | - Michael H. Cynamon
- Veterans Administration Medical Center, Syracuse, NY 13210, USA; (C.M.S.); (M.H.C.)
- Veterans Health Research Institute, Syracuse, NY 13210, USA
| | - Timothy D. McHugh
- UCL Centre for Clinical Microbiology, University College London, London NW3 2PF, UK; (I.H.); (T.D.M.)
| |
Collapse
|
24
|
Azam K, Khosa C, Viegas S, Massango I, Bhatt N, Jani I, Heinrich N, Hoelscher M, Gillespie SH, Rachow A, Sabiiti W. Reduction of blood C-reactive protein concentration complements the resolution of sputum bacillary load in patients on anti-tuberculosis therapy. Front Immunol 2022; 13:1005692. [PMID: 36189292 PMCID: PMC9523539 DOI: 10.3389/fimmu.2022.1005692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 08/24/2022] [Indexed: 12/02/2022] Open
Abstract
Background Tuberculosis (TB) is a difficult-to-treat disease requiring the combination of four antibiotics for a minimum of 6 months. Rapid and quantitative biomarkers to monitor treatment response are urgently needed for individual patient management and clinical trials. C-reactive protein (CRP) is often used clinically as a rapid marker of inflammation caused by infection. We assessed the relationship of TB bacillary load and CRP as biomarkers of treatment response. Methods Xpert MTB/RIF-confirmed pulmonary TB cases were enrolled for treatment response assessment in Mozambique. Treatment response was measured using the Tuberculosis Molecular Bacterial Load Assay (TB-MBLA) in comparison with standard-of-care Mycobacterium Growth Indicator Tube (MGIT) culture at baseline and at weeks 1, 2, 4, 8, 12, 17, and 26 of treatment. Blood CRP concentration was measured at baseline, week 8, and week 26. Treatment response was defined as increase in MGIT culture time to positivity (TTP), and reduction in TB-MBLA-measured bacillary load and blood CRP concentration. Results Out of the 81 screened presumptive TB cases, 69 were enrolled for 6-month treatment follow-up resulting in 94% treatment completion rate. Four participants did not complete TB treatment and 22 participants had missing CRP or TB-MBLA results and were excluded from TB-MBLA-CRP analysis. The remaining 43 participants-median age, 31 years old [interquartile range (IQR): 18-56]; 70% (30/43) male; and 70% (30/43) infected with HIV-were considered for analysis. Culture TTP and bacillary load were inversely correlated, Spearman's r = -0.67, p < 0.0001. Resolution of sputum bacillary load concurred with reduction of blood CRP, r = 0.70, p < 0.0001. At baseline, bacillary load had a median (IQR) of 6.4 (5.5-7.2), which reduced to 2.4 (0.0-2.9) and 0.0 (0.0-0.0) log10 CFU/ml at months 2 and 6 of treatment, respectively. Correspondingly, blood CRP reduced from 1.9 (1.6-2.1) at baseline to 1.3 (0.9-1.7) and 0.4 (0.1-0.8) log10 mg/dl at months 2 and 6 of treatment, respectively. CRP reduction trialed bacteriological resolution at a rate of -0.06 log10 mg/dl compared to a bacillary load of 0.23 log10 CFU/ml per week. Consequently, 14 (33%) and 37 (88%) patients had reduced CRP to normal concentration and bacillary load to zero by the end of treatment, respectively. Pre-treatment CRP concentration and bacillary load, and resolution during treatment were slightly lower in HIV co-infected patients but not significantly different from HIV-uninfected TB patients. Conclusion TB-MBLA-measured bacillary load and blood CRP complement each other in response to anti-TB therapy. Slow CRP reduction probably reflects residual TB bacilli in the lung not expectorated in sputum. Combining both measures can improve the accuracy of these biomarkers for monitoring TB treatment response and shorten turnaround time since the results of both assays could be available in 24 h.
Collapse
Affiliation(s)
- Khalide Azam
- Direcção de Laboratórios de Saúde Pública, Instituto Nacional de Saúde (INS),
Vila de Marracuene, Moçambique
- Center for International Health – CIHLMU, Munich, Germany
- Southern Africa TB and Health System Support Project, East, Central and Southern Africa Health Community (ECSA-HC),
Arusha, Tanzania
- *Correspondence: Khalide Azam,
| | - Celso Khosa
- Center for International Health – CIHLMU, Munich, Germany
- Centro de Investigação e Treino em Saúde da Polana Caniço, Instituto Nacional de Saúde (INS), Cidade de Maputo, Moçambique
| | - Sofia Viegas
- Direcção de Laboratórios de Saúde Pública, Instituto Nacional de Saúde (INS),
Vila de Marracuene, Moçambique
| | - Isabel Massango
- Centro de Investigação e Treino em Saúde da Polana Caniço, Instituto Nacional de Saúde (INS), Cidade de Maputo, Moçambique
| | - Nilesh Bhatt
- Centro de Investigação e Treino em Saúde da Polana Caniço, Instituto Nacional de Saúde (INS), Cidade de Maputo, Moçambique
| | - Ilesh Jani
- Direcção de Laboratórios de Saúde Pública, Instituto Nacional de Saúde (INS),
Vila de Marracuene, Moçambique
| | - Norbert Heinrich
- Center for International Health – CIHLMU, Munich, Germany
- Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians Universität München (LMU) Munich, Munich, Germany
- Partner Site Munich, German Centre for Infection Research (DZIF), Munich, Germany
| | - Michael Hoelscher
- Center for International Health – CIHLMU, Munich, Germany
- Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians Universität München (LMU) Munich, Munich, Germany
- Partner Site Munich, German Centre for Infection Research (DZIF), Munich, Germany
| | - Stephen H. Gillespie
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, United Kingdom
| | - Andrea Rachow
- Center for International Health – CIHLMU, Munich, Germany
- Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians Universität München (LMU) Munich, Munich, Germany
- Partner Site Munich, German Centre for Infection Research (DZIF), Munich, Germany
| | - Wilber Sabiiti
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, United Kingdom
| |
Collapse
|
25
|
Srinivas V, Ruiz RA, Pan M, Immanuel SRC, Peterson EJ, Baliga NS. Transcriptome signature of cell viability predicts drug response and drug interaction in Mycobacterium tuberculosis. CELL REPORTS METHODS 2021; 1:None. [PMID: 34977849 PMCID: PMC8688151 DOI: 10.1016/j.crmeth.2021.100123] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 08/23/2021] [Accepted: 11/08/2021] [Indexed: 12/23/2022]
Abstract
There is an urgent need for new drug regimens to rapidly cure tuberculosis. Here, we report the development of drug response assayer (DRonA) and "MLSynergy," algorithms to perform rapid drug response assays and predict response of Mycobacterium tuberculosis (Mtb) to drug combinations. Using a transcriptome signature for cell viability, DRonA detects Mtb killing by diverse mechanisms in broth culture, macrophage infection, and patient sputum, providing an efficient and more sensitive alternative to time- and resource-intensive bacteriologic assays. Further, MLSynergy builds on DRonA to predict synergistic and antagonistic multidrug combinations using transcriptomes of Mtb treated with single drugs. Together, DRonA and MLSynergy represent a generalizable framework for rapid monitoring of drug effects in host-relevant contexts and accelerate the discovery of efficacious high-order drug combinations.
Collapse
Affiliation(s)
| | | | - Min Pan
- Institute for Systems Biology, Seattle, WA, USA
| | | | | | - Nitin S. Baliga
- Institute for Systems Biology, Seattle, WA, USA
- Departments of Biology and Microbiology, University of Washington, Seattle, WA, USA
- Molecular and Cellular Biology Program, University of Washington, Seattle, WA, USA
- Lawrence Berkeley National Lab, Berkeley, CA, USA
| |
Collapse
|
26
|
Biomarkers that correlate with active pulmonary tuberculosis treatment response: a systematic review and meta-analysis. J Clin Microbiol 2021; 60:e0185921. [PMID: 34911364 PMCID: PMC8849205 DOI: 10.1128/jcm.01859-21] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Current WHO recommendations for monitoring treatment response in adult pulmonary tuberculosis (TB) are sputum smear microscopy and/or culture conversion at the end of the intensive phase of treatment. These methods either have suboptimal accuracy or a long turnaround time. There is a need to identify alternative biomarkers to monitor TB treatment response. We conducted a systematic review of active pulmonary TB treatment monitoring biomarkers. We screened 9,739 articles published between 1 January 2008 and 31 December 2020, of which 77 met the inclusion criteria. When studies quantitatively reported biomarker levels, we meta-analyzed the average fold change in biomarkers from pretreatment to week 8 of treatment. We also performed a meta-analysis pooling the fold change since the previous time point collected. A total of 81 biomarkers were identified from 77 studies. Overall, these studies exhibited extensive heterogeneity with regard to TB treatment monitoring study design and data reporting. Among the biomarkers identified, C-reactive protein (CRP), interleukin-6 (IL-6), interferon gamma-induced protein 10 (IP-10), and tumor necrosis factor alpha (TNF-α) had sufficient data to analyze fold changes. All four biomarker levels decreased during the first 8 weeks of treatment relative to baseline and relative to previous time points collected. Based on limited data available, CRP, IL-6, IP-10, and TNF-α have been identified as biomarkers that should be further explored in the context of TB treatment monitoring. The extensive heterogeneity in TB treatment monitoring study design and reporting is a major barrier to evaluating the performance of novel biomarkers and tools for this use case. Guidance for designing and reporting treatment monitoring studies is urgently needed.
Collapse
|
27
|
Maitra A, Solanki P, Sadouki Z, McHugh TD, Kloprogge F. Improving the Drug Development Pipeline for Mycobacteria: Modelling Antibiotic Exposure in the Hollow Fibre Infection Model. Antibiotics (Basel) 2021; 10:antibiotics10121515. [PMID: 34943727 PMCID: PMC8698378 DOI: 10.3390/antibiotics10121515] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 11/29/2021] [Accepted: 12/03/2021] [Indexed: 11/16/2022] Open
Abstract
Mycobacterial infections are difficult to treat, requiring a combination of drugs and lengthy treatment times, thereby presenting a substantial burden to both the patient and health services worldwide. The limited treatment options available are under threat due to the emergence of antibiotic resistance in the pathogen, hence necessitating the development of new treatment regimens. Drug development processes are lengthy, resource intensive, and high-risk, which have contributed to market failure as demonstrated by pharmaceutical companies limiting their antimicrobial drug discovery programmes. Pre-clinical protocols evaluating treatment regimens that can mimic in vivo PK/PD attributes can underpin the drug development process. The hollow fibre infection model (HFIM) allows for the pathogen to be exposed to a single or a combination of agents at concentrations achieved in vivo-in plasma or at infection sites. Samples taken from the HFIM, depending on the analyses performed, provide information on the rate of bacterial killing and the emergence of resistance. Thereby, the HFIM is an effective means to investigate the efficacy of a drug combination. Although applicable to a wide variety of infections, the complexity of anti-mycobacterial drug discovery makes the information available from the HFIM invaluable as explored in this review.
Collapse
Affiliation(s)
- Arundhati Maitra
- Institute for Global Health, University College London, London WC1N 1EH, UK; (Z.S.); (F.K.)
- Correspondence:
| | - Priya Solanki
- Centre for Clinical Microbiology, Royal Free Campus, University College London, Rowland Hill Street, London NW3 2PF, UK; (P.S.); (T.D.M.)
| | - Zahra Sadouki
- Institute for Global Health, University College London, London WC1N 1EH, UK; (Z.S.); (F.K.)
- Centre for Clinical Microbiology, Royal Free Campus, University College London, Rowland Hill Street, London NW3 2PF, UK; (P.S.); (T.D.M.)
| | - Timothy D. McHugh
- Centre for Clinical Microbiology, Royal Free Campus, University College London, Rowland Hill Street, London NW3 2PF, UK; (P.S.); (T.D.M.)
| | - Frank Kloprogge
- Institute for Global Health, University College London, London WC1N 1EH, UK; (Z.S.); (F.K.)
| |
Collapse
|
28
|
Reproducibility of the Ribosomal RNA Synthesis Ratio in Sputum and Association with Markers of Mycobacterium tuberculosis Burden. Microbiol Spectr 2021; 9:e0048121. [PMID: 34494858 PMCID: PMC8557932 DOI: 10.1128/spectrum.00481-21] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
There is a critical need for improved pharmacodynamic markers for use in human tuberculosis (TB) drug trials. Pharmacodynamic monitoring in TB has conventionally used culture or molecular methods to enumerate the burden of Mycobacterium tuberculosis organisms in sputum. A recently proposed assay called the rRNA synthesis (RS) ratio measures a fundamentally novel property, how drugs impact ongoing bacterial rRNA synthesis. Here, we evaluated RS ratio as a potential pharmacodynamic monitoring tool by testing pretreatment sputa from 38 Ugandan adults with drug-susceptible pulmonary TB. We quantified the RS ratio in paired pretreatment sputa and evaluated the relationship between the RS ratio and microbiologic and molecular markers of M. tuberculosis burden. We found that the RS ratio was highly repeatable and reproducible in sputum samples. The RS ratio was independent of M. tuberculosis burden, confirming that it measures a distinct new property. In contrast, markers of M. tuberculosis burden were strongly associated with each other. These results indicate that the RS ratio is repeatable and reproducible and provides a distinct type of information from markers of M. tuberculosis burden. IMPORTANCE This study takes a major next step toward practical application of a novel pharmacodynamic marker that we believe will have transformative implications for tuberculosis. This article follows our recent report in Nature Communications that an assay called the rRNA synthesis (RS) ratio indicates the treatment-shortening of drugs and regimens. Distinct from traditional measures of bacterial burden, the RS ratio measures a fundamentally novel property, how drugs impact ongoing bacterial rRNA synthesis.
Collapse
|
29
|
Said B, Charlie L, Getachew E, Wanjiru CL, Abebe M, Manyazewal T. Molecular bacterial load assay versus culture for monitoring treatment response in adults with tuberculosis. SAGE Open Med 2021; 9:20503121211033470. [PMID: 34349999 PMCID: PMC8287413 DOI: 10.1177/20503121211033470] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 06/30/2021] [Indexed: 11/16/2022] Open
Abstract
The lack of rapid, sensitive, and deployable tuberculosis diagnostic tools is
hampering the early diagnosis of tuberculosis and early detection of treatment
failures. The conventional sputum smear microscopy or Xpert MTB/RIF assay cannot
distinguish between alive and dead bacilli and the culture method delays
providing results. Tuberculosis molecular bacterial load assay is a reverse
transcriptase real-time quantitative polymerase chain reaction that quantifies
viable tuberculosis bacillary load as a marker of treatment response for
patients on anti-tuberculosis therapy. However, results are not synthesized
enough to inform its comparative advantage to tuberculosis culture technique
which is yet the gold standard of care. With this review, we searched electronic
databases, including PubMed, Embase, and Web of Science, from March 2011 up to
February 2021 for clinical trials or prospective cohort studies that compared
tuberculosis molecular bacterial load assay with tuberculosis culture in adults.
We included eight studies that meet the inclusion criteria. Tuberculosis
molecular bacterial load assay surpasses culture in monitoring patients with
tuberculosis during the first few weeks of anti-tuberculosis treatment. It is
more desirable over culture for its shorter time to results, almost zero rates
of contamination, need for less expertise on the method, early rate of decline,
lower running cost, and reproducibility. Its rapid and specific tuberculosis
treatment monitoring competency benefits patients and healthcare providers to
monitor changes of bacillary load among isolates with drug-susceptible or
resistance to anti-tuberculosis regimens. Despite of the high installing cost of
the tuberculosis molecular bacterial load assay method, molecular expertise, and
a well-equipped laboratory, tuberculosis molecular bacterial load assay is a
cost-effective method with comparison to culture in operational running. To
achieve maximum utility in high tuberculosis burden settings, an intensive
initial investment in nucleic acid extraction and polymerase chain reaction
equipment, training in procedures, and streamlining laboratory supply
procurement systems are crucial. More evidence is needed to demonstrate the
potential large-scale and sustainable use of tuberculosis molecular bacterial
load assay over culture in resource-constrained settings.
Collapse
Affiliation(s)
- Bibie Said
- Center for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.,Kibong'oto National Tuberculosis Hospital, Kilimanjaro, Tanzania
| | - Loveness Charlie
- Center for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Emnet Getachew
- Center for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.,Department of Public Health, College of Health Science, Arsi University, Asella, Ethiopia
| | - Catherine Lydiah Wanjiru
- Center for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Mekdelawit Abebe
- Center for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.,St. Peter Tuberculosis Specialized Hospital, Addis Ababa, Ethiopia
| | - Tsegahun Manyazewal
- Center for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| |
Collapse
|
30
|
Mbelele PM, Sauli E, Mpolya EA, Mohamed SY, Addo KK, Mfinanga SG, Heysell SK, Mpagama S. TB or not TB? Definitive determination of species within the Mycobacterium tuberculosis complex in unprocessed sputum from adults with presumed multidrug-resistant tuberculosis. Trop Med Int Health 2021; 26:1057-1067. [PMID: 34107112 PMCID: PMC8886495 DOI: 10.1111/tmi.13638] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Objectives Differences among Mycobacterium tuberculosis complex (MTC) species may predict drug resistance or treatment success. Thus, we optimised and deployed the genotype MTBC assay (gMTBC) to identify MTC to the species level, and then performed comparative genotypic drug‐susceptibility testing to anti‐tuberculosis drugs from direct sputum of patients with presumed multidrug‐resistant tuberculosis (MDR‐TB) by the MTBDRplus/sl reference method. Methods Patients with positive Xpert® MTB/RIF (Xpert) results were consented to provide early‐morning‐sputum for testing by the gMTBC and the reference MTBDRplus/sl. Chi‐square or Fisher’s exact test compared proportions. Modified Poisson regression modelled detection of MTC by gMTBC. Results Among 73 patients, 53 (73%) were male and had a mean age of 43 (95% CI; 40–45) years. In total, 34 (47%), 36 (49%) and 38 (55%) had positive gMTBC, culture and MTBDR respectively. Forty patients (55%) had low quantity MTC by Xpert, including 31 (78%) with a negative culture. gMTBC was more likely to be positive in patients with chest cavity 4.18 (1.31–13.32, P = 0.016), high‐quantity MTC by Xpert 3.03 (1.35–6.82, P = 0.007) and sputum smear positivity 1.93 (1.19–3.14, P = 0.008). The accuracy of gMTBC in detecting MTC was 95% (95% CI; 86–98; κ = 0.89) compared to MTBDRplus/sl. All M. tuberculosis/canettii identified by gMTB were susceptible to fluoroquinolone and aminoglycosides/capreomycin. Conclusions The concordance between the gMTBC assay and MTBDRplus/sl in detecting MTC was high but lagged behind the yield of Xpert MTB/RIF. All M. tuberculosis/canettii were susceptible to fluoroquinolones, a core drug in MDR‐TB treatment regimens.
Collapse
Affiliation(s)
- Peter M Mbelele
- Kibong'oto Infectious Diseases Hospital, Kilimanjaro, Tanzania.,Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
| | - Elingarami Sauli
- Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
| | - Emmanuel A Mpolya
- Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
| | - Sagal Y Mohamed
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
| | - Kennedy K Addo
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Sayoki G Mfinanga
- National Institute for Medical Research, Muhimbili Center, Dar es salaam, Tanzania.,Muhimbili University of Health and Allied Sciences, Dar es salaam, Tanzania
| | - Scott K Heysell
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
| | - Stellah Mpagama
- Kibong'oto Infectious Diseases Hospital, Kilimanjaro, Tanzania.,Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
| |
Collapse
|
31
|
Günther G, Heyckendorf J, Zellweger JP, Reimann M, Claassens M, Chesov D, van Leth F. Defining Outcomes of Tuberculosis (Treatment): From the Past to the Future. Respiration 2021; 100:843-852. [PMID: 34058739 DOI: 10.1159/000516392] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 04/07/2021] [Indexed: 11/19/2022] Open
Abstract
Untreated active tuberculosis (TB) has a very high long-term mortality. Treatment of TB reduces mortality dramatically and should maximize cure, preventing ongoing transmission and TB sequelae. However, predicting the risk of failure and relapse is crucial for the management of individual patients and for the evaluation of effectiveness of programs. Various outcome definitions for drug-sensitive and drug-resistant TB were developed, implemented, and endorsed since introduction of TB chemotherapy by the World Health Organization (WHO), mostly based on culture and smear results. They should be applicable for individual patient care, surveillance, and research. Definitions with focus on program evaluation differ from definitions to evaluate the efficacy and effectiveness of regimens. Lack of sputum production at the later stage of treatment reduces the easy applicability of current definitions. Definitions of failure and cure are sometimes difficult to apply. Alternative approaches suggest culture positivity at 6 months or more of treatment as an indicator for failure. New definitions for cure including a relapse-free period posttreatment and reduced number of culture and smear results are considered. Increasing variation and individualization of treatment and its duration urgently require new approaches using pathogen- or host-specific biomarkers, which indicate risk of failure and define cure. Such biomarkers are under evaluation but still far from translation in clinical routine practice.
Collapse
Affiliation(s)
- Gunar Günther
- Department of Pulmonary Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.,Department of Internal Medicine, School of Medicine, University of Namibia, Windhoek, Namibia
| | - Jan Heyckendorf
- Research Center Borstel, Borstel, Germany.,German Center for Infection Research (DZIF), Germany.,International Health/Infectious Diseases, University of Lübeck, Lübeck, Germany
| | | | - Maja Reimann
- Research Center Borstel, Borstel, Germany.,German Center for Infection Research (DZIF), Germany.,International Health/Infectious Diseases, University of Lübeck, Lübeck, Germany
| | - Mareli Claassens
- Department of Internal Medicine, School of Medicine, University of Namibia, Windhoek, Namibia.,Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Dumitru Chesov
- Research Center Borstel, Borstel, Germany.,State University of Medicine and Pharmacy "Nicolae Testemitanu", Chisinau, Moldova
| | - Frank van Leth
- Department of Health Sciences, Faculty of Science, VU Amsterdam, Amsterdam, The Netherlands
| |
Collapse
|
32
|
Kontsevaya I, Lange C, Comella-Del-Barrio P, Coarfa C, DiNardo AR, Gillespie SH, Hauptmann M, Leschczyk C, Mandalakas AM, Martinecz A, Merker M, Niemann S, Reimann M, Rzhepishevska O, Schaible UE, Scheu KM, Schurr E, Abel Zur Wiesch P, Heyckendorf J. Perspectives for systems biology in the management of tuberculosis. Eur Respir Rev 2021; 30:30/160/200377. [PMID: 34039674 DOI: 10.1183/16000617.0377-2020] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Accepted: 01/28/2021] [Indexed: 12/18/2022] Open
Abstract
Standardised management of tuberculosis may soon be replaced by individualised, precision medicine-guided therapies informed with knowledge provided by the field of systems biology. Systems biology is a rapidly expanding field of computational and mathematical analysis and modelling of complex biological systems that can provide insights into mechanisms underlying tuberculosis, identify novel biomarkers, and help to optimise prevention, diagnosis and treatment of disease. These advances are critically important in the context of the evolving epidemic of drug-resistant tuberculosis. Here, we review the available evidence on the role of systems biology approaches - human and mycobacterial genomics and transcriptomics, proteomics, lipidomics/metabolomics, immunophenotyping, systems pharmacology and gut microbiomes - in the management of tuberculosis including prediction of risk for disease progression, severity of mycobacterial virulence and drug resistance, adverse events, comorbidities, response to therapy and treatment outcomes. Application of the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach demonstrated that at present most of the studies provide "very low" certainty of evidence for answering clinically relevant questions. Further studies in large prospective cohorts of patients, including randomised clinical trials, are necessary to assess the applicability of the findings in tuberculosis prevention and more efficient clinical management of patients.
Collapse
Affiliation(s)
- Irina Kontsevaya
- Research Center Borstel, Borstel, Germany.,German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Borstel, Germany.,International Health/Infectious Diseases, University of Lübeck, Lübeck, Germany
| | - Christoph Lange
- Research Center Borstel, Borstel, Germany.,German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Borstel, Germany.,International Health/Infectious Diseases, University of Lübeck, Lübeck, Germany
| | - Patricia Comella-Del-Barrio
- Research Institute Germans Trias i Pujol, CIBER Respiratory Diseases, Universitat Autònoma de Barcelona, Badalona, Spain
| | - Cristian Coarfa
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA.,Molecular and Cellular Biology, Center for Precision Environmental health, Baylor College of Medicine, Houston, TX, USA
| | - Andrew R DiNardo
- The Global Tuberculosis Program, Texas Children's Hospital, Dept of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | | | - Matthias Hauptmann
- Research Center Borstel, Borstel, Germany.,German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Borstel, Germany
| | - Christoph Leschczyk
- Research Center Borstel, Borstel, Germany.,German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Borstel, Germany
| | - Anna M Mandalakas
- The Global Tuberculosis Program, Texas Children's Hospital, Dept of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Antal Martinecz
- Dept of Biology, Pennsylvania State University, University Park, PA, USA.,Center for Infectious Disease Dynamics, Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, USA.,Dept of Pharmacy, Faculty of Health Sciences, UiT, Arctic University of Norway, Tromsø, Norway
| | - Matthias Merker
- Research Center Borstel, Borstel, Germany.,German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Borstel, Germany
| | - Stefan Niemann
- Research Center Borstel, Borstel, Germany.,German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Borstel, Germany
| | - Maja Reimann
- Research Center Borstel, Borstel, Germany.,German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Borstel, Germany.,International Health/Infectious Diseases, University of Lübeck, Lübeck, Germany
| | - Olena Rzhepishevska
- Dept of Chemistry, Umeå University, Umeå, Sweden.,Dept of Clinical Microbiology, Umeå University, Umeå, Sweden
| | - Ulrich E Schaible
- Research Center Borstel, Borstel, Germany.,German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Borstel, Germany
| | | | - Erwin Schurr
- Infectious Diseases and Immunity in Global Health Program, Research Institute of the McGill University Health Centre, Montréal, Canada
| | - Pia Abel Zur Wiesch
- Dept of Biology, Pennsylvania State University, University Park, PA, USA.,Center for Infectious Disease Dynamics, Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, USA
| | - Jan Heyckendorf
- Research Center Borstel, Borstel, Germany .,German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Borstel, Germany.,International Health/Infectious Diseases, University of Lübeck, Lübeck, Germany
| |
Collapse
|
33
|
Hai HT, Sabiiti W, Thu DDA, Phu NH, Gillespie SH, Thwaites GE, Thuong NTT. Evaluation of the molecular bacterial load assay for detecting viable Mycobacterium tuberculosis in cerebrospinal fluid before and during tuberculous meningitis treatment. Tuberculosis (Edinb) 2021; 128:102084. [PMID: 33965677 PMCID: PMC8204225 DOI: 10.1016/j.tube.2021.102084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 04/23/2021] [Accepted: 04/26/2021] [Indexed: 12/03/2022]
Abstract
New tools to monitor treatment response and predict outcome from tuberculous meningitis (TBM) are urgently required. We retrospectively evaluated the 16S rRNA-based molecular bacterial load assay (MBLA) to quantify viable Mycobacterium tuberculosis in serial cerebrospinal fluid (CSF) from adults with TBM. 187 CSF samples were collected before and during the first two months of treatment from 99 adults TBM, comprising 56 definite, 43 probable or possible TBM, and 18 non-TBM and preserved at −80°C prior to MBLA. We compared MBLA against MGIT culture, GeneXpert MTB/RIF (Xpert) and Ziehl-Neelsen (ZN) smear. Before treatment, MBLA was positive in 34/99 (34.3%), significantly lower than MGIT 47/99 (47.5%), Xpert 51/99 (51.5%) and ZN smear 55/99 (55.5%). After one month of treatment, MBLA and MGIT were positive in 3/38 (7.9%) and 4/38 (10.5%), respectively, whereas Xpert and ZN smear remained positive in 19/38 (50.0%) and 18/38 (47.4%). In summary, MBLA was less likely to detect CSF bacteria before the start of treatment compared with MGIT culture, Xpert and ZN smear. MBLA and MGIT positivity fell during treatment because of detecting only viable bacteria, whereas Xpert and ZN smear remained positive for longer because of detecting both live and dead bacteria. Sample storage and processing may have reduced MBLA-detectable viable bacteria; and sampling earlier in treatment may yield more useful results. Prospective studies with CSF sampling after 1–2 weeks are warranted.
Collapse
Affiliation(s)
- Hoang Thanh Hai
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam
| | - Wilber Sabiiti
- School of Medicine, Division of Infection and Global Health, University of St Andrews, United Kingdom
| | - Do Dang Anh Thu
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam
| | - Nguyen Hoan Phu
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam; Hospital for Tropical Diseases, Ho Chi Minh City, Viet Nam
| | - Stephen H Gillespie
- School of Medicine, Division of Infection and Global Health, University of St Andrews, United Kingdom
| | - Guy E Thwaites
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam; Nuffield Department of Medicine, University of Oxford, United Kingdom
| | - Nguyen Thuy Thuong Thuong
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam; Nuffield Department of Medicine, University of Oxford, United Kingdom.
| |
Collapse
|
34
|
Mycobactericidal Effects of Different Regimens Measured by Molecular Bacterial Load Assay among People Treated for Multidrug-Resistant Tuberculosis in Tanzania. J Clin Microbiol 2021; 59:JCM.02927-20. [PMID: 33536294 PMCID: PMC8092737 DOI: 10.1128/jcm.02927-20] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 01/28/2021] [Indexed: 12/17/2022] Open
Abstract
Rifampin or multidrug-resistant tuberculosis (RR/MDR-TB) treatment has largely transitioned to regimens free of the injectable aminoglycoside component, despite the drug class’ purported bactericidal activity early in treatment. We tested whether Mycobacterium tuberculosis Rifampin or multidrug-resistant tuberculosis (RR/MDR-TB) treatment has largely transitioned to regimens free of the injectable aminoglycoside component, despite the drug class’ purported bactericidal activity early in treatment. We tested whether Mycobacterium tuberculosis killing rates measured by tuberculosis molecular bacterial load assay (TB-MBLA) in sputa correlate with composition of the RR/MDR-TB regimen. Serial sputa were collected from patients with RR/MDR- and drug-sensitive TB at days 0, 3, 7, and 14, and then monthly for 4 months of anti-TB treatment. TB-MBLA was used to quantify viable M. tuberculosis 16S rRNA in sputum for estimation of colony forming units per ml (eCFU/ml). M. tuberculosis killing rates were compared among regimens using nonlinear-mixed-effects modeling of repeated measures. Thirty-seven patients produced 296 serial sputa and received treatment as follows: 13 patients received an injectable bedaquiline-free reference regimen, 9 received an injectable bedaquiline-containing regimen, 8 received an all-oral bedaquiline-based regimen, and 7 patients were treated for drug-sensitive TB with conventional rifampin/isoniazid/pyrazinamide/ethambutol (RHZE). Compared to the adjusted M. tuberculosis killing of −0.17 (95% confidence interval [CI] −0.23 to −0.12) for the injectable bedaquiline-free reference regimen, the killing rates were −0.62 (95% CI −1.05 to −0.20) log10 eCFU/ml for the injectable bedaquiline-containing regimen (P = 0.019), −0.35 (95% CI −0.65 to −0.13) log10 eCFU/ml for the all-oral bedaquiline-based regimen (P = 0.054), and −0.29 (95% CI −0.78 to +0.22) log10 eCFU/ml for the RHZE regimen (P = 0.332). Thus, M. tuberculosis killing rates from sputa were higher among patients who received bedaquiline but were further improved with the addition of an injectable aminoglycoside.
Collapse
|
35
|
Lange C, Aarnoutse R, Chesov D, van Crevel R, Gillespie SH, Grobbel HP, Kalsdorf B, Kontsevaya I, van Laarhoven A, Nishiguchi T, Mandalakas A, Merker M, Niemann S, Köhler N, Heyckendorf J, Reimann M, Ruhwald M, Sanchez-Carballo P, Schwudke D, Waldow F, DiNardo AR. Perspective for Precision Medicine for Tuberculosis. Front Immunol 2020; 11:566608. [PMID: 33117351 PMCID: PMC7578248 DOI: 10.3389/fimmu.2020.566608] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 09/02/2020] [Indexed: 12/28/2022] Open
Abstract
Tuberculosis is a bacterial infectious disease that is mainly transmitted from human to human via infectious aerosols. Currently, tuberculosis is the leading cause of death by an infectious disease world-wide. In the past decade, the number of patients affected by tuberculosis has increased by ~20 percent and the emergence of drug-resistant strains of Mycobacterium tuberculosis challenges the goal of elimination of tuberculosis in the near future. For the last 50 years, management of patients with tuberculosis has followed a standardized management approach. This standardization neglects the variation in human susceptibility to infection, immune response, the pharmacokinetics of drugs, and the individual duration of treatment needed to achieve relapse-free cure. Here we propose a package of precision medicine-guided therapies that has the prospect to drive clinical management decisions, based on both host immunity and M. tuberculosis strains genetics. Recently, important scientific discoveries and technological advances have been achieved that provide a perspective for individualized rather than standardized management of patients with tuberculosis. For the individual selection of best medicines and host-directed therapies, personalized drug dosing, and treatment durations, physicians treating patients with tuberculosis will be able to rely on these advances in systems biology and to apply them at the bedside.
Collapse
Affiliation(s)
- Christoph Lange
- Division of Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany
- German Center for Infection Research (DZIF) Partner Site Borstel-Hamburg-Lübeck-Riems, Borstel, Germany
- Respiratory Medicine and International Health, University of Lübeck, Lübeck, Germany
- Cluster of Excellence Precision Medicine in Chronic Inflammation, Kiel, Germany
- Department of Medicine, Karolinska Institute, Stockholm, Sweden
| | - Rob Aarnoutse
- Department of Internal Medicine, Radboud Center of Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen, Netherlands
| | - Dumitru Chesov
- Division of Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany
- German Center for Infection Research (DZIF) Partner Site Borstel-Hamburg-Lübeck-Riems, Borstel, Germany
- Respiratory Medicine and International Health, University of Lübeck, Lübeck, Germany
- Department of Pulmonology and Allergology, Nicolae Testemitanu University of Medicine and Pharmacy, Chisinau, Moldova
| | - Reinout van Crevel
- Department of Internal Medicine, Radboud Center of Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen, Netherlands
| | | | - Hans-Peter Grobbel
- Division of Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany
- German Center for Infection Research (DZIF) Partner Site Borstel-Hamburg-Lübeck-Riems, Borstel, Germany
- Respiratory Medicine and International Health, University of Lübeck, Lübeck, Germany
| | - Barbara Kalsdorf
- Division of Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany
- German Center for Infection Research (DZIF) Partner Site Borstel-Hamburg-Lübeck-Riems, Borstel, Germany
- Respiratory Medicine and International Health, University of Lübeck, Lübeck, Germany
- Cluster of Excellence Precision Medicine in Chronic Inflammation, Kiel, Germany
| | - Irina Kontsevaya
- Division of Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany
- German Center for Infection Research (DZIF) Partner Site Borstel-Hamburg-Lübeck-Riems, Borstel, Germany
- Respiratory Medicine and International Health, University of Lübeck, Lübeck, Germany
| | - Arjan van Laarhoven
- Department of Internal Medicine, Radboud Center of Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen, Netherlands
| | - Tomoki Nishiguchi
- The Global Tuberculosis Program, Texas Children's Hospital, Immigrant and Global Health, Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States
| | - Anna Mandalakas
- The Global Tuberculosis Program, Texas Children's Hospital, Immigrant and Global Health, Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States
| | - Matthias Merker
- German Center for Infection Research (DZIF) Partner Site Borstel-Hamburg-Lübeck-Riems, Borstel, Germany
- Cluster of Excellence Precision Medicine in Chronic Inflammation, Kiel, Germany
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
| | - Stefan Niemann
- German Center for Infection Research (DZIF) Partner Site Borstel-Hamburg-Lübeck-Riems, Borstel, Germany
- Cluster of Excellence Precision Medicine in Chronic Inflammation, Kiel, Germany
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
| | - Niklas Köhler
- Division of Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany
- German Center for Infection Research (DZIF) Partner Site Borstel-Hamburg-Lübeck-Riems, Borstel, Germany
- Respiratory Medicine and International Health, University of Lübeck, Lübeck, Germany
| | - Jan Heyckendorf
- Division of Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany
- German Center for Infection Research (DZIF) Partner Site Borstel-Hamburg-Lübeck-Riems, Borstel, Germany
- Respiratory Medicine and International Health, University of Lübeck, Lübeck, Germany
| | - Maja Reimann
- Division of Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany
- German Center for Infection Research (DZIF) Partner Site Borstel-Hamburg-Lübeck-Riems, Borstel, Germany
- Respiratory Medicine and International Health, University of Lübeck, Lübeck, Germany
| | - Morten Ruhwald
- Foundation of Innovative New Diagnostics (FIND), Geneva, Switzerland
| | - Patricia Sanchez-Carballo
- Division of Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany
- German Center for Infection Research (DZIF) Partner Site Borstel-Hamburg-Lübeck-Riems, Borstel, Germany
- Respiratory Medicine and International Health, University of Lübeck, Lübeck, Germany
| | - Dominik Schwudke
- German Center for Infection Research (DZIF) Partner Site Borstel-Hamburg-Lübeck-Riems, Borstel, Germany
- Bioanalytical Chemistry, Priority Area Infection, Research Center Borstel, Leibniz Lung Center, Borstel, Germany
- Airway Research Center North, German Center for Lung Research (DZL), Borstel, Germany
| | - Franziska Waldow
- German Center for Infection Research (DZIF) Partner Site Borstel-Hamburg-Lübeck-Riems, Borstel, Germany
- Bioanalytical Chemistry, Priority Area Infection, Research Center Borstel, Leibniz Lung Center, Borstel, Germany
| | - Andrew R. DiNardo
- The Global Tuberculosis Program, Texas Children's Hospital, Immigrant and Global Health, Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States
| |
Collapse
|
36
|
Beltran CGG, Heunis T, Gallant J, Venter R, du Plessis N, Loxton AG, Trost M, Winter J, Malherbe ST, Kana BD, Walzl G. Investigating Non-sterilizing Cure in TB Patients at the End of Successful Anti-TB Therapy. Front Cell Infect Microbiol 2020; 10:443. [PMID: 32984071 PMCID: PMC7477326 DOI: 10.3389/fcimb.2020.00443] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 07/20/2020] [Indexed: 01/04/2023] Open
Abstract
Mycobacterium tuberculosis (Mtb) is extremely recalcitrant to antimicrobial chemotherapy requiring 6 months to treat drug-sensitive tuberculosis (TB). Despite this, 4-10% of cured patients will develop recurrent disease within 12 months after completing therapy. Reasons for relapse in cured TB patients remains speculative, attributed to both pathogen and host factors. Populations of dormant bacilli are hypothesized to cause relapse in initially cured TB patients however, development of tests to convincingly demonstrate their presence at the end of anti-TB treatment has been challenging. Previous studies have indicated the utility of culture filtrate supplemented media (CFSM) to detect differentially culturable tubercle bacilli (DCTB). Here, we show that 3/22 of clinically cured patients retained DCTB in induced sputum and bronchoalveolar lavage fluid (BALF), with one DCTB positive patient relapsing within the first year of completing therapy. We also show a correlation of DCTB status with "unresolved" end of treatment FDG PET-CT imaging. Additionally, 19 end of treatment induced sputum samples from patients not undergoing bronchoscopy were assessed for DCTB, identifying a further relapse case with DCTB. We further show that induced sputum is a less reliable source for the DCTB assay at the end of treatment, limiting the utility of this assay in a clinical setting. We next investigated the host proteome at the site of disease (BALF) using multiplexed proteomic analysis and compared these to active TB cases to identify host-specific factors indicative of cure. Distinct signatures stratified active from cured TB patients into distinct groups, with a DCTB positive, subsequently relapsing, end of treatment patient showing a proteomic signature closer to active TB disease than cure. This exploratory study offers evidence of live Mtb, undetectable with conventional culture methods, at the end of clinically successful treatment and putative host protein biomarkers of active disease and cure. These findings have implications for the assessment of true sterilizing cure in TB patients and opens new avenues for targeted approaches to monitor treatment response.
Collapse
Affiliation(s)
- Caroline G. G. Beltran
- Department of Science and Technology/National Research Foundation, Centre of Excellence for Biomedical Tuberculosis Research and South African Medical Research Council Centre for Tuberculosis Research, Cape Town, South Africa
- Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Tiaan Heunis
- Department of Science and Technology/National Research Foundation, Centre of Excellence for Biomedical Tuberculosis Research and South African Medical Research Council Centre for Tuberculosis Research, Cape Town, South Africa
- Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- Faculty of Medical Sciences, Biosciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - James Gallant
- Department of Science and Technology/National Research Foundation, Centre of Excellence for Biomedical Tuberculosis Research and South African Medical Research Council Centre for Tuberculosis Research, Cape Town, South Africa
- Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- Section Molecular Microbiology, Amsterdam Institute for Molecules, Medicines and Systems, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Rouxjeane Venter
- Department of Science and Technology/National Research Foundation, Centre of Excellence for Biomedical Tuberculosis Research and South African Medical Research Council Centre for Tuberculosis Research, Cape Town, South Africa
- Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Nelita du Plessis
- Department of Science and Technology/National Research Foundation, Centre of Excellence for Biomedical Tuberculosis Research and South African Medical Research Council Centre for Tuberculosis Research, Cape Town, South Africa
- Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Andre G. Loxton
- Department of Science and Technology/National Research Foundation, Centre of Excellence for Biomedical Tuberculosis Research and South African Medical Research Council Centre for Tuberculosis Research, Cape Town, South Africa
- Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Matthias Trost
- Faculty of Medical Sciences, Biosciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Jill Winter
- Catalysis Foundation for Health, San Ramon, CA, United States
| | - Stephanus T. Malherbe
- Department of Science and Technology/National Research Foundation, Centre of Excellence for Biomedical Tuberculosis Research and South African Medical Research Council Centre for Tuberculosis Research, Cape Town, South Africa
- Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Bavesh D. Kana
- Department of Science and Technology/National Research Foundation, Centre of Excellence for Biomedical Tuberculosis Research and South African Medical Research Council Centre for Tuberculosis Research, Cape Town, South Africa
- DST/NRF Centre of Excellence for Biomedical TB Research, Faculty of Health Sciences, School of Pathology, University of the Witwatersrand and the National Health Laboratory Service, Johannesburg, South Africa
- MRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Centre for the AIDS Programme of Research in South Africa, CAPRISA, Durban, South Africa
| | - Gerhard Walzl
- Department of Science and Technology/National Research Foundation, Centre of Excellence for Biomedical Tuberculosis Research and South African Medical Research Council Centre for Tuberculosis Research, Cape Town, South Africa
- Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| |
Collapse
|
37
|
Pneumonia caused by Mycobacterium tuberculosis. Microbes Infect 2020; 22:278-284. [PMID: 32561408 PMCID: PMC7297158 DOI: 10.1016/j.micinf.2020.05.020] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Revised: 05/23/2020] [Accepted: 05/25/2020] [Indexed: 12/17/2022]
Abstract
Tuberculosis (TB) is one of the top ten leading causes of death worldwide. The causative agent of TB is Mycobacterium tuberculosis. Acute tuberculous pneumonia (TP) is an acute form of pulmonary TB. However, acute TP and non-tuberculous community-acquired pneumonia can be easily confused, resulting in deterioration of TP due to delayed treatment. Therefore, rapid and accurate diagnosis of acute TP is crucial in order to stop the transmission of TB. Moreover, development of new diagnostic tools (technologies and approaches), and flexible application of different therapy schemes will help to reduce the incidence of TP and promote the goal of ending the TB epidemic.
Collapse
|
38
|
Sabiiti W, Azam K, Farmer ECW, Kuchaka D, Mtafya B, Bowness R, Oravcova K, Honeyborne I, Evangelopoulos D, McHugh TD, Khosa C, Rachow A, Heinrich N, Kampira E, Davies G, Bhatt N, Ntinginya EN, Viegas S, Jani I, Kamdolozi M, Mdolo A, Khonga M, Boeree MJ, Phillips PPJ, Sloan D, Hoelscher M, Kibiki G, Gillespie SH. Tuberculosis bacillary load, an early marker of disease severity: the utility of tuberculosis Molecular Bacterial Load Assay. Thorax 2020; 75:606-608. [PMID: 32354738 PMCID: PMC7361026 DOI: 10.1136/thoraxjnl-2019-214238] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 03/18/2020] [Accepted: 04/09/2020] [Indexed: 11/08/2022]
Abstract
In this comparative biomarker study, we analysed 1768 serial sputum samples from 178 patients at 4 sites in Southeast Africa. We show that tuberculosis Molecular Bacterial Load Assay (TB-MBLA) reduces time-to-TB-bacillary-load-result from days/weeks by culture to hours and detects early patient treatment response. By day 14 of treatment, 5% of patients had cleared bacillary load to zero, rising to 58% by 12th week of treatment. Fall in bacillary load correlated with mycobacterial growth indicator tube culture time-to-positivity (Spearmans r=−0.51, 95% CI (−0.56 to −0.46), p<0.0001). Patients with high pretreatment bacillary burdens (above the cohort bacillary load average of 5.5log10eCFU/ml) were less likely to convert-to-negative by 8th week of treatment than those with a low burden (below cohort bacillary load average), p=0.0005, HR 3.1, 95% CI (1.6 to 5.6) irrespective of treatment regimen. TB-MBLA distinguished the bactericidal effect of regimens revealing the moxifloxacin—20 mg rifampicin regimen produced a shorter time to bacillary clearance compared with standard-of-care regimen, p=0.008, HR 2.9, 95% CI (1.3 to 6.7). Our data show that the TB-MBLA could inform clinical decision making in real-time and expedite drug TB clinical trials.
Collapse
Affiliation(s)
- Wilber Sabiiti
- School of Medicine, University of St Andrews, St Andrews, UK
| | - Khalide Azam
- Instituto Nacional de Saúde, Ministério da Saúde, Maputo, Mozambique
| | | | - Davis Kuchaka
- Biotechnology Laboratory, Kilimanjaro Clinical Research Institute, Moshi, Tanzania
| | - Bariki Mtafya
- Mbeya Medical Research Centre, National Institute of Medical Research, Mbeya, Tanzania
| | - Ruth Bowness
- School of Medicine, University of St Andrews, St Andrews, UK
| | - Katarina Oravcova
- Institute of Biodiversity, Animal Health & Comparative Medicine, College of Medical, Veterinary & Life Sciences University of Glasgow, Glasgow, UK
| | - Isobella Honeyborne
- Centre for Clinical Microbiology, Division of Infection and Immunity, University College London, London, UK
| | - Dimitrios Evangelopoulos
- Mycobacterial Metabolism and Antibiotic Research Laboratory, The Francis Crick Institute, London, UK
| | - Timothy Daniel McHugh
- Centre for Clinical Microbiology, Division of Infection and Immunity, University College London, London, UK
| | - Celso Khosa
- Instituto Nacional de Saúde, Ministério da Saúde, Maputo, Mozambique
| | - Andrea Rachow
- Division of Infectious and Tropical Medicine, Medical Centre of the University of Munich, Munich, Germany
| | - Norbert Heinrich
- Division of Infectious and Tropical Medicine, Medical Centre of the University of Munich, Munich, Germany
| | | | - Geraint Davies
- College of Medicine, University of Malawi, Blantyre, Malawi.,Institutes of Global Health & Translational Medicine, University of Liverpool, Liverpool, UK
| | - Nilesh Bhatt
- Instituto Nacional de Saúde, Ministério da Saúde, Maputo, Mozambique
| | - Elias N Ntinginya
- Mbeya Medical Research Centre, National Institute of Medical Research, Mbeya, Tanzania
| | - Sofia Viegas
- Instituto Nacional de Saúde, Ministério da Saúde, Maputo, Mozambique
| | - Ilesh Jani
- Instituto Nacional de Saúde, Ministério da Saúde, Maputo, Mozambique
| | | | - Aaron Mdolo
- College of Medicine, University of Malawi, Blantyre, Malawi
| | | | - Martin J Boeree
- Department of Lung Diseases, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Patrick P J Phillips
- UCSF Center for Tuberculosis, University of San Francisco, San Francisco, California, USA
| | - Derek Sloan
- School of Medicine, University of St Andrews, St Andrews, UK
| | - Michael Hoelscher
- Division of Infectious and Tropical Medicine, Medical Centre of the University of Munich, Munich, Germany
| | - Gibson Kibiki
- East African Health Research Commission, Bujumbura, Burundi
| | | |
Collapse
|
39
|
Kwan PKW, Lin W, Naim ANM, Periaswamy B, De Sessions PF, Hibberd ML, Paton NI. Gene expression responses to anti-tuberculous drugs in a whole blood model. BMC Microbiol 2020; 20:81. [PMID: 32264819 PMCID: PMC7140558 DOI: 10.1186/s12866-020-01766-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 03/26/2020] [Indexed: 12/21/2022] Open
Abstract
Background There is a need for better tools to evaluate new or repurposed TB drugs. The whole blood bactericidal activity (WBA) assay has been advocated for this purpose. We investigated whether transcriptional responses in the WBA assay resemble TB responses in vivo, and whether the approach might additionally reveal mechanisms of action. Results 1422 of 1798 (79%) of differentially expressed genes in WBA incubated with the standard combination of rifampicin, isoniazid, pyrazinamide and ethambutol were also expressed in sputum (P < 0.0001) obtained from patients taking the same combination of drugs; these comprised well-established treatment-response genes. Gene expression profiles in WBA incubated with the standard drugs individually, or with moxifloxacin or faropenem (with amoxicillin and clavulanic acid) clustered by individual drug exposure. Distinct pathways were detected for individual drugs, although only with isoniazid did these relate to known mechanisms of drug action. Conclusions Substantial agreement between whole blood cultures and sputum and the ability to differentiate individual drugs suggest that transcriptomics may add value to the whole blood assay for evaluating new TB drugs.
Collapse
Affiliation(s)
- Philip Kam Weng Kwan
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, NUHS Tower Block Level 10, 1E Kent Ridge Road, Singapore, 119228, Singapore
| | - Wenwei Lin
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, NUHS Tower Block Level 10, 1E Kent Ridge Road, Singapore, 119228, Singapore
| | - Ahmad Nazri Mohamed Naim
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Balamurugan Periaswamy
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Paola Florez De Sessions
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Martin L Hibberd
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore.,London School of Hygiene & Tropical Medicine, London, UK.,Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Nicholas I Paton
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, NUHS Tower Block Level 10, 1E Kent Ridge Road, Singapore, 119228, Singapore. .,Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore. .,London School of Hygiene & Tropical Medicine, London, UK. .,Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
| |
Collapse
|
40
|
Hai HT, Vinh DN, Thu DDA, Hanh NT, Phu NH, Srinivasan V, Thwaites GE, T T Thuong N. Comparison of the Mycobacterium tuberculosis molecular bacterial load assay, microscopy and GeneXpert versus liquid culture for viable bacterial load quantification before and after starting pulmonary tuberculosis treatment. Tuberculosis (Edinb) 2019; 119:101864. [PMID: 31568973 PMCID: PMC6899431 DOI: 10.1016/j.tube.2019.101864] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 08/23/2019] [Accepted: 09/20/2019] [Indexed: 01/02/2023]
Abstract
Molecular bacterial load assay (MBLA) rapidly quantifies viable Mycobacterium tuberculosis (Mtb) and may be useful for monitoring treatment response and treatment efficacy. We conducted a prospective study in 56 adults with pulmonary tuberculosis from whom 244 sputum samples were collected before and during the first month of treatment. We evaluated MBLA for early monitoring of bacterial burden and investigated bactericidal activities of first-line therapy in patients infected with drug susceptible and resistant isolates. Mtb loads measured by MBLA and culture were correlated after one-week (r = 0.56) and one-month (r = 0.73) of treatment. Correlations between culture and GeneXpert or microscopy were weaker during treatment. Mtb load by MBLA declined more rapidly than GeneXpert after one-week (2.73 Ct, P < 0.001; 0.95 Ct, P = 0.297, respectively) and one-month (8.94 Ct, P < 0.001; 6.78 Ct, P < 0.001). Mtb loads in multidrug resistant (MDR) infections were significantly greater than in both sensitive and poly/mono-resistance after one-week (P < 0.02) and one-month treatment (P = 0.001). MBLA performed better than GeneXpert and microscopy in comparison to culture for quantifying viable Mtb during treatment. It can be used for monitoring bacterial load during TB treatment, facilitating early detection of treatment failure thus improving outcomes.
Collapse
Affiliation(s)
- Hoang T Hai
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam
| | - Dao N Vinh
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam
| | - Do D A Thu
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam
| | - Nguyen T Hanh
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam
| | - Nguyen H Phu
- Hospital for Tropical Diseases, Ho Chi Minh City, Viet Nam
| | - Vijay Srinivasan
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam; Nuffield Department of Medicine, University of Oxford, United Kingdom
| | - Guy E Thwaites
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam; Nuffield Department of Medicine, University of Oxford, United Kingdom
| | - Nguyen T T Thuong
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam.
| |
Collapse
|
41
|
Model-Based Relationship between the Molecular Bacterial Load Assay and Time to Positivity in Liquid Culture. Antimicrob Agents Chemother 2019; 63:AAC.00652-19. [PMID: 31358585 DOI: 10.1128/aac.00652-19] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Accepted: 07/23/2019] [Indexed: 11/20/2022] Open
Abstract
The molecular bacterial load (MBL) assay is a new tuberculosis biomarker which provides results in ∼4 hours. The relationship between MBL and time-to-positivity (TTP) has not been thoroughly studied, and predictive models do not exist. We aimed to develop a model for MBL and identify the MBL-TTP relationship in patients. The model was developed on data from 105 tuberculosis patients from Malawi, Mozambique, and Tanzania with joint MBL and TTP observations quantified from patient sputum collected for 12 weeks. MBL was quantified using PCR of mycobacterial RNA and TTP using the mycobacterial growth indicator tube (MGIT) 960 system. Treatment consisted of isoniazid, pyrazinamide, and ethambutol in standard doses together with rifampin 10 or 35 mg/kg of body weight. The developed MBL-TTP model included several linked submodels, a component describing decline of bacterial load in sputum, another component describing growth in liquid culture, and a hazard model translating bacterial growth into a TTP signal. Additional components for contaminated and negative TTP samples were included. Visual predictive checks performed using the developed model gave good description of the observed data. The model predicted greater total sample loss for TTP than MBL due to contamination and negative samples. The model detected an increase in bacterial killing for 35 versus 10 mg/kg rifampin (P = 0.002). In conclusion, a combined model for MBL and TTP was developed that described the MBL-TTP relationship. The full MBL-TTP model or each submodel was used separately. Second, the model can be used to predict biomarker response for MBL given TTP data or vice versa in historical or future trials.
Collapse
|
42
|
Accelerating the transition of new tuberculosis drug combinations from Phase II to Phase III trials: New technologies and innovative designs. PLoS Med 2019; 16:e1002851. [PMID: 31287813 PMCID: PMC6615592 DOI: 10.1371/journal.pmed.1002851] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
Geraint Davies and colleagues discuss the potential for innovative early-phase clinical trial methods and technologies to reduce risk and speed up drug development for tuberculosis.
Collapse
|
43
|
Molecular Bacterial Load Assay Concurs with Culture on NaOH-Induced Loss of Mycobacterium tuberculosis Viability. J Clin Microbiol 2019; 57:JCM.01992-18. [PMID: 31018981 DOI: 10.1128/jcm.01992-18] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 04/17/2019] [Indexed: 12/21/2022] Open
Abstract
Effective methods to detect viable Mycobacterium tuberculosis, the main causative agent of tuberculosis (TB), are urgently needed. To date, cultivation of M. tuberculosis is the gold standard, which depends on initial sample processing with N-acetyl-l-cysteine-sodium hydroxide (NALC-NaOH), chemicals that compromise M. tuberculosis viability and, consequently, the performance of downstream tests. We applied culture and the novel molecular bacterial load assay (MBLA) to measure the loss of M. tuberculosis viability following NALC-NaOH treatment of M. tuberculosis H37Rv pure culture and clinical sputum samples from pulmonary TB patients. Compared to the bacterial loads of untreated controls, NALC-NaOH treatment of M. tuberculosis reduced the MBLA-detectable bacillary load (estimated number of CFU [eCFU] per milliliter) by 0.66 ± 0.21 log10 at 23°C (P = 0.018) and 0.72 ± 0.08 log10 at 30°C (P = 0.013). Likewise, NALC-NaOH treatment reduced the viable count on solid culture by 0.84 ± 0.02 log10 CFU/ml at 23°C (P < 0.001) and 0.85 ± 0.01 log10 CFU/ml at 30°C (P < 0.001), respectively. The reduction in the viable count was reflected by a corresponding increase in the time to positivity of the mycobacterial growth indicator tube (MGIT) liquid culture: 1.2 days at 23°C (P < 0.001) and 1.1 days at 30°C (P < 0.001). This NaOH-induced M. tuberculosis viability loss was replicated in clinical sputum samples, with the bacterial load dropping by 0.65 ± 0.17 log10 from 5.36 ± 0.24 log10 eCFU/ml to 4.71 ± 0.16 log10 eCFU/ml for untreated and treated sputa, respectively. Applying the model of Bowness et al. (R. Bowness, M. J. Boeree, R. Aarnoutse, R. Dawson, et al., J Antimicrob Chemother 70:448-455, 2015, https://doi.org/10.1093/jac/dku415) revealed that the treated MGIT time to culture positivity of 142 ± 7.02 h was equivalent to 4.86 ± 0.28 log10 CFU, consistent with the MBLA-measured bacterial load. Our study confirms the contribution of NALC-NaOH treatment to the loss of viable bacterial counts. Tests that obviate the need for decontamination may offer an alternative option for the accurate detection of viable M. tuberculosis and treatment response monitoring.
Collapse
|
44
|
Shaikh A, Sriraman K, Vaswani S, Oswal V, Mistry N. Detection of Mycobacterium tuberculosis RNA in bioaerosols from pulmonary tuberculosis patients. Int J Infect Dis 2019; 86:5-11. [PMID: 31202909 DOI: 10.1016/j.ijid.2019.06.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2019] [Revised: 06/04/2019] [Accepted: 06/09/2019] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Bioaerosols from pulmonary tuberculosis (PTB) patients are a quantitative predictor of transmission. Current methods involve sophisticated instruments and time-consuming techniques to assess viable TB bacteria in bioaerosols. We tested the feasibility of detecting Mycobacterium tuberculosis (Mtb) specific RNA from bioaerosols retained on TB patients' masks. METHODS Adult PTB patients (n=33) were recruited at diagnosis before GeneXpert confirmation between April-2017 to February-2019 from private TB clinics in Mumbai. Face mask worn for 1 or 3h or N95 mask containing a cellulose acetate membrane worn for 5min by the patients were tested for the presence of Mtb RNA by quantitative PCR and bacterial load was estimated. RESULTS Quantitative PCR targeting rpoB, sigA,16S and fgd1 and sequencing of rpoB confirmed the presence of Mtb specific RNA in mask samples including masks of two patients with unproductive sputum. Membrane samples had seven-fold higher RNA and bacterial load that correlated to bacterial load estimated by sputum GeneXpert. CONCLUSION The study demonstrates that patient masks can be used to sample bioaerosols for detection of viable Mtb. The findings have translational value in the diagnosis of TB and monitoring Mtb variations between and within patients useful for assessing infectiousness and treatment response.
Collapse
Affiliation(s)
- Ambreen Shaikh
- The Foundation for Medical Research, Dr. Kantilal J. Sheth Memorial Building, 84-A, RG Thadani Marg, Worli, Mumbai, Maharashtra 400018, India
| | - Kalpana Sriraman
- The Foundation for Medical Research, Dr. Kantilal J. Sheth Memorial Building, 84-A, RG Thadani Marg, Worli, Mumbai, Maharashtra 400018, India
| | - Smriti Vaswani
- The Foundation for Medical Research, Dr. Kantilal J. Sheth Memorial Building, 84-A, RG Thadani Marg, Worli, Mumbai, Maharashtra 400018, India
| | - Vikas Oswal
- Sai Hospital, 90 Feet Rd., Masiha Islampura Co-op Hsg. Soc. Ltd., Dharavi, Mumbai, Maharashtra 400017, India; Vikas Nursing Home, Plot no. 18/U/1/2, Shivaji Nagar, Govandi East, Mumbai, Maharashtra 400043, India
| | - Nerges Mistry
- The Foundation for Medical Research, Dr. Kantilal J. Sheth Memorial Building, 84-A, RG Thadani Marg, Worli, Mumbai, Maharashtra 400018, India.
| |
Collapse
|
45
|
Kawasaki M, Echiverri C, Raymond L, Cadena E, Reside E, Gler MT, Oda T, Ito R, Higashiyama R, Katsuragi K, Liu Y. Lipoarabinomannan in sputum to detect bacterial load and treatment response in patients with pulmonary tuberculosis: Analytic validation and evaluation in two cohorts. PLoS Med 2019; 16:e1002780. [PMID: 30978194 PMCID: PMC6461223 DOI: 10.1371/journal.pmed.1002780] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Accepted: 03/13/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Lipoarabinomannan (LAM) is a major antigen of Mycobacterium tuberculosis (MTB). In this report, we evaluated the ability of a novel immunoassay to measure concentrations of LAM in sputum as a biomarker of bacterial load prior to and during treatment in pulmonary tuberculosis (TB) patients. METHODS AND FINDINGS Phage display technology was used to isolate monoclonal antibodies binding to epitopes unique in LAM from MTB and slow-growing nontuberculous mycobacteria (NTM). Using these antibodies, a sandwich enzyme-linked immunosorbent assay (LAM-ELISA) was developed to quantitate LAM concentration. The LAM-ELISA had a lower limit of quantification of 15 pg/mL LAM, corresponding to 121 colony-forming units (CFUs)/mL of MTB strain H37Rv. It detected slow-growing NTMs but without cross-reacting to common oral bacteria. Two clinical studies were performed between the years 2013 and 2016 in Manila, Philippines, in patients without known human immunodeficiency virus (HIV) coinfection. In a case-control cohort diagnostic study, sputum specimens were collected from 308 patients (aged 17-69 years; 62% male) diagnosed as having pulmonary TB diseases or non-TB diseases, but who could expectorate sputum, and were then evaluated by smear microscopy, BACTEC MGIT 960 Mycobacterial Detection System (MGIT) and Lowenstein-Jensen (LJ) culture, and LAM-ELISA. Some sputum specimens were also examined by Xpert MTB/RIF. The LAM-ELISA detected all smear- and MTB-culture-positive samples (n = 70) and 50% (n = 29) of smear-negative but culture-positive samples (n = 58) (versus 79.3%; 46 positive cases by the Xpert MTB/RIF), but none from non-TB patients (n = 56). Among both LAM and MGIT MTB-culture-positive samples, log10-transformed LAM concentration and MGIT time to detection (TTD) showed a good inverse relationship (r = -0.803, p < 0.0001). In a prospective longitudinal cohort study, 40 drug-susceptible pulmonary TB patients (aged 18-69 years; 60% male) were enrolled during the first 56 days of the standard 4-drug therapy. Declines in sputum LAM concentrations correlated with increases of MGIT TTD in individual patients. There was a 1.29 log10 decrease of sputum LAM concentration, corresponding to an increase of 221 hours for MGIT TTD during the first 14 days of treatment, a treatment duration often used in early bactericidal activity (EBA) trials. Major limitations of this study include a relatively small number of patients, treatment duration up to only 56 days, lack of quantitative sputum culture CFU count data, and no examination of the correlation of sputum LAM to clinical cure. CONCLUSIONS These results indicate that the LAM-ELISA can determine LAM concentration in sputum, and sputum LAM measured by the assay may be used as a biomarker of bacterial load prior to and during TB treatment. Additional studies are needed to examine the predictive value of this novel biomarker on treatment outcomes.
Collapse
Affiliation(s)
| | | | - Lawrence Raymond
- Lung Center of the Philippines, Quezon City, Metro Manila, Philippines
| | - Elizabeth Cadena
- Jose R. Reyes Memorial Medical Center, Manila City, Metro Manila, Philippines
| | - Evelyn Reside
- The Medical City, Pasig City, Metro Manila, Philippines
| | - Maria Tarcela Gler
- Otsuka Manila Research Center, Otsuka (Philippines) Pharmaceutical, Makati City, Metro Manila, Philippines
| | | | - Ryuta Ito
- Otsuka Pharmaceutical Company, Tokyo, Japan
| | | | | | - Yongge Liu
- Otsuka Pharmaceutical Development & Commercialization, Rockville, Maryland, United States of America
- * E-mail:
| |
Collapse
|
46
|
Heat Inactivation Renders Sputum Safe and Preserves Mycobacterium tuberculosis RNA for Downstream Molecular Tests. J Clin Microbiol 2019; 57:JCM.01778-18. [PMID: 30728191 DOI: 10.1128/jcm.01778-18] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Accepted: 01/23/2019] [Indexed: 02/01/2023] Open
Abstract
The World Health Organization End Tuberculosis (TB) strategy has called for the development of-and increased access to-effective tools for diagnosis and treatment of TB disease. Mycobacterium tuberculosis , the causative agent of TB, is categorized as a highly infectious agent. Consequently, diagnostic tests that involve comprehensive manipulation of specimens from presumed tuberculosis cases must be performed in a category 3 laboratory. We have evaluated the use of heat inactivation to render TB samples safe to work with while preserving RNA for downstream molecular tests. Using Mycobacterium bovis bacillus Calmette-Guérin (BCG) cultures and TB-positive sputum samples, we show that boiling for 20 min at 80, 85, and 95°C inactivates all M. tuberculosis bacilli. The efficiency of inactivation was verified by culturing heat-treated and untreated (live) fractions of BCG and TB sputum samples for 42 days. No growth was observed in the cultures of heat-treated samples. In contrast, the optical density of untreated BCG in Middlebrook 7H9 broth rose from 0.04 to 0.85, and the untreated sputum samples flagged positive at 3 days of incubation in mycobacterial growth indicator tubes. Quantification of reference genes 16S rRNA, transfer-messenger RNA (tmRNA), pre-16S rRNA, and rpoB by reverse transcriptase quantitative PCR (RT-qPCR) showed minimal loss in estimated bacterial load. The loss was RNA species dependent, <1 log10, 1.1 log10, 1.3 log10, and 2.4 log10 estimated CFU/ml for 16S rRNA, tmRNA, pre-16S rRNA, and rpoB, respectively. The RNA loss was independent of inactivation temperature. These findings show that heat inactivation could obviate the need for category 3 laboratories to perform RNA-based testing of TB samples.
Collapse
|
47
|
Abstract
Mycobacterium marinum, the causative agent of fish tuberculosis, is rarely a human pathogen causing a chronic skin infection. It is now wildely used as a model system in animal models, especially in zebra fish model, to study the pathology of tuberculosis and as a means of screening new anti-tuberculosis agent. To facilitate such research, quantifying the viable count of M. marinum bacteria is a crucial step. The main approach used currently is still by counting the number of colony forming units (cfu), a method that has been in place for almost 100 years. Though this method well established, understood and relatively easy to perform, it is time-consuming and labor-intensive. The result can be compromised by failure to grow effectively and the relationship between count and actual numbers is confused by clumping of the bacteria where a single colony is made from multiple organisms. More importantly, this method is not able to detect live but not cultivable bacteria, and there is increasing evidence that mycobacteria readily enter a "dormant" state which confounds the relationship between bacterial number in the host and the number detected in a cfu assay. DNA based PCR methods detect both living and dead organisms but here we describe a method, which utilizes species specific Taq-Man assay and RT-qPCR technology for quantifying the viable M. marinum bacterial load by detecting 16S ribosomal RNA (16S rRNA).
Collapse
|
48
|
Goletti D, Lindestam Arlehamn CS, Scriba TJ, Anthony R, Cirillo DM, Alonzi T, Denkinger CM, Cobelens F. Can we predict tuberculosis cure? What tools are available? Eur Respir J 2018; 52:13993003.01089-2018. [PMID: 30361242 DOI: 10.1183/13993003.01089-2018] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Accepted: 09/24/2018] [Indexed: 01/08/2023]
Abstract
Antibiotic treatment of tuberculosis takes ≥6 months, putting a major burden on patients and health systems in large parts of the world. Treatment beyond 2 months is needed to prevent tuberculosis relapse by clearing remaining, drug-tolerant Mycobacterium tuberculosis bacilli. However, the majority of patients treated for only 2-3 months will cure without relapse and do not need prolonged treatment. Assays that can identify these patients at an early stage of treatment may significantly help reduce the treatment burden, while a test to identify those patients who will fail treatment may help target host-directed therapies.In this review we summarise the state of the art with regard to discovery of biomarkers that predict relapse-free cure for pulmonary tuberculosis. Positron emission tomography/computed tomography scanning to measure pulmonary inflammation enhances our understanding of "cure". Several microbiological and immunological markers seem promising; however, they still need a formal validation. In parallel, new research strategies are needed to generate reliable tests.
Collapse
Affiliation(s)
- Delia Goletti
- Translational Research Unit, National Institute for Infectious Diseases "L. Spallanzani" IRCCS, Dept of Epidemiology and Preclinical Research, Rome, Italy
| | | | - Thomas J Scriba
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, and Division of Immunology, Dept of Pathology, University of Cape Town, Cape Town, South Africa
| | - Richard Anthony
- National Institute for Public Health and the Environment (RIVM), Utrecht, The Netherlands
| | - Daniela Maria Cirillo
- Emerging Bacterial Pathogens Unit, San Raffaele Scientific Institute, HSR, Division of Immunology and Infectious Diseases Milan, Milan, Italy
| | - Tonino Alonzi
- Translational Research Unit, National Institute for Infectious Diseases "L. Spallanzani" IRCCS, Dept of Epidemiology and Preclinical Research, Rome, Italy
| | | | - Frank Cobelens
- Dept of Global Health and Amsterdam Institute for Global Health and Development, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| |
Collapse
|
49
|
Mbelele PM, Mohamed SY, Sauli E, Mpolya EA, Mfinanga SG, Addo KK, Heysell SK, Mpagama SG. Meta-narrative review of molecular methods for diagnosis and monitoring of multidrug-resistant tuberculosis treatment in adults. Int J Mycobacteriol 2018; 7:299-309. [PMID: 30531026 PMCID: PMC6548176 DOI: 10.4103/ijmy.ijmy_135_18] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Early and accurate diagnosis and rigorous clinical and microbiological monitoring of multidrug-resistant tuberculosis (MDR-TB) treatment can curb morbidity and mortality. While others are still under evaluation, the World Health Organization has recommended few novel molecular methods for MDR-TB diagnosis only. We present current molecular methods for diagnosis and monitoring of MDR-TB treatment in TB-endemic settings. A systematic meta-narrative review was conducted according to the RAMESES recommendations. Electronic databases were searched for relevant articles published in English language from January 2013 to June 2018. Based on predefined criteria, two independent reviewers extracted the key messages from relevant articles. Disagreement between them was resolved through discussion and the involvement of a third reviewer, if needed. Key messages were synthesized to create the meta-narratives for method's accuracy, drug-susceptibility capability, and laboratory infrastructure required. We included 33 articles out of 1213 records retrieved, of which 16 (48%) and 12 (36%) were conducted in high- and low-TB-endemic settings, respectively. Xpert® MTB/RIF, GenoType MTBDRplus, GenoType MTBDRsl, FlouroType™ MTBDR, TB TaqMan® array card, and DNA sequencers can accurately guide effective treatment regimens. Molecular bacterial load assay quantifies mycobactericidal impact of these regimens. Although they present inherent advantages compared to the current standard of care, they carry important limitations to implementation and/or scale-up. Therefore, considerable effort must now be directed to implementation and health systems research to maximize these forecasted benefits for individual patient's health outcomes.
Collapse
Affiliation(s)
- Peter M. Mbelele
- Kibong’oto Infectious Diseases Hospital, Sanya Juu,
Siha, Kilimanjaro
- Department of Global Health and Biomedical Sciences, School
of Life Science and Bioengineering, Nelson Mandela-African Institution for Science
and Technology, Arusha
| | - Sagal Y. Mohamed
- Division of Infectious Diseases and International Health,
University of Virginia, Charlottesville, Virginia, USA
| | - Elingarami Sauli
- Department of Global Health and Biomedical Sciences, School
of Life Science and Bioengineering, Nelson Mandela-African Institution for Science
and Technology, Arusha
| | - Emmanuel A. Mpolya
- Department of Global Health and Biomedical Sciences, School
of Life Science and Bioengineering, Nelson Mandela-African Institution for Science
and Technology, Arusha
| | - Sayoki G. Mfinanga
- Muhimbili Centre, National Institute for Medical Research,
Dar es Salaam, Tanzania
| | - Kennedy K. Addo
- Department of Bacteriology, Noguchi Memorial Institute for
Medical Research, University of Ghana, Accra, Ghana
| | - Scott K. Heysell
- Division of Infectious Diseases and International Health,
University of Virginia, Charlottesville, Virginia, USA
| | - Stellah G. Mpagama
- Kibong’oto Infectious Diseases Hospital, Sanya Juu,
Siha, Kilimanjaro
- Department of Global Health and Biomedical Sciences, School
of Life Science and Bioengineering, Nelson Mandela-African Institution for Science
and Technology, Arusha
| |
Collapse
|
50
|
Direct Whole-Genome Sequencing of Sputum Accurately Identifies Drug-Resistant Mycobacterium tuberculosis Faster than MGIT Culture Sequencing. J Clin Microbiol 2018; 56:JCM.00666-18. [PMID: 29848567 PMCID: PMC6062781 DOI: 10.1128/jcm.00666-18] [Citation(s) in RCA: 97] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 05/25/2018] [Indexed: 11/20/2022] Open
Abstract
The current methods available to diagnose antimicrobial-resistant Mycobacterium tuberculosis infections require a positive culture or only test a limited number of resistance-associated mutations. A rapid accurate identification of antimicrobial resistance enables the prompt initiation of effective treatment. Here, we determine the utility of whole-genome sequencing (WGS) of M. tuberculosis directly from routinely obtained diagnostic sputum samples to provide a comprehensive resistance profile compared to that from mycobacterial growth indicator tube (MGIT) WGS. We sequenced M. tuberculosis from 43 sputum samples by targeted DNA enrichment using the Agilent SureSelectXT kit, and 43 MGIT positive samples from each participant. Thirty two (74%) sputum samples and 43 (100%) MGIT samples generated whole genomes. The times to antimicrobial resistance profiles and concordance were compared with Xpert MTB/RIF and phenotypic resistance testing from cultures of the same samples. Antibiotic susceptibility could be predicted from WGS of sputum within 5 days of sample receipt and up to 24 days earlier than WGS from MGIT culture and up to 31 days earlier than phenotypic testing. Direct sputum results could be reduced to 3 days with faster hybridization and if only regions encoding drug resistance are sequenced. We show that direct sputum sequencing has the potential to provide comprehensive resistance detection significantly faster than MGIT whole-genome sequencing or phenotypic testing of resistance from cultures in a clinical setting. This improved turnaround time enables prompt appropriate treatment with associated patient and health service benefits. Improvements in sample preparation are necessary to ensure comparable sensitivities and complete resistance profile predictions in all cases.
Collapse
|