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Gillespie SH, Sabiiti W. Tuberculosis molecular bacterial load assay in the management of tuberculosis. Curr Opin Infect Dis 2025; 38:176-181. [PMID: 39705386 DOI: 10.1097/qco.0000000000001084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2024]
Abstract
PURPOSE OF REVIEW Treatment monitoring remains a challenge in tuberculosis. The development of the tuberculosis molecular bacterial load assay (TB-MBLA) opens the possibility of real-time treatment monitoring. This review summarizes recent TB-MBLA research and outlines a future research agenda. RECENT FINDINGS Recent studies show that TB-MBLA can be applied a wide range of specimens to make a quantitative assessment of the number live M. tuberculosis organisms rapidly. This allows real-time monitoring of treatment response that simplifies patient management and facilitates comparison of different treatment regimens. SUMMARY The ability to measure the number of live organisms in real-time could improve treatment outcome. The TB-MBLA should revolutionize our understanding of the pathology of tuberculosis with significant implications for clinical practice and research.
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Affiliation(s)
- Stephen H Gillespie
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK
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Chaula GT, Namkinga L, Mahadhy A, Sabiiti W, Ntinginya NE, Mtafya B. High centrifugation speed improves recovery of M. tuberculosis and yield of culture. Tuberculosis (Edinb) 2025; 152:102633. [PMID: 40154122 DOI: 10.1016/j.tube.2025.102633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Revised: 12/22/2024] [Accepted: 03/11/2025] [Indexed: 04/01/2025]
Abstract
BACKGROUND We assessed the impact of centrifugation on recovery of Mycobacterium tuberculosis (M.tb). METHODS We used 0.5 McFarland from the 2 weeks M. tb, H37Rv culture and homogenized sputum for our experiments. Samples were decontaminated by 2 % NaOH for 20 min and with PBS for controls. Decontaminated aliquots were centrifuged at 2000×g, 3000×g and 6000×g for 40 min and inoculated on MGIT and LJ media. MGITs were incubated into the BACTEC MGIT 960 Systems following BD manuals and data analyzed on GraphPad Software. RESULTS The positivity (days) for M. tb, H37Rv in MGIT and LJ decreased from 20.4 to 17.7 and from 47.6 to 26.6 at 2000×g and 6000×g, respectively; P > 0.05. For controls, MGIT and LJ positivity (days) decreased from 19 to 10 and from 39.2 to 11.2 at 2000×g and 6000×g, respectively; P > 0.05. MGIT positivity was 6(60 %) at 2000×g and 8(80 %) at 6000×g, corresponding to mean (±SD) of 13.7 ± 6.7 and 9.06 ± 4.6 days, respectively for sputum. LJ positivity was 1(10 %) at 2000×g and 7(70 %) at 6000×g. MGIT contamination for controls (sputum) was over 50 % and 80 % for LJ. CONCLUSION Higher centrifugation speed improves yield and sensitivity of TB culture.
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Affiliation(s)
- Godlove T Chaula
- National Institute for Medical Research (NIMR), Mbeya Medical Research Centre, Hospital Hill Road 1, P.O.BoX 2410, Mbeya, Tanzania.
| | - Lucy Namkinga
- University of Dar es salaam, Mbeya College of Health and Allied Sciences, Department of Biochemistry & Pharmacology, P. O. Box 608, Mbeya, Tanzania
| | - Ally Mahadhy
- University of Dar es salaam, College of Natural and Applied Sciences, Department of Molecular Biology and Biotechnology, P. O. Box 35065, Dar es salaam, Tanzania
| | - Wilber Sabiiti
- University of St Andrews, North Haugh, KY16 9TF, St.Andrews, United Kingdom
| | - Nyanda Elias Ntinginya
- National Institute for Medical Research (NIMR), Mbeya Medical Research Centre, Hospital Hill Road 1, P.O.BoX 2410, Mbeya, Tanzania
| | - Bariki Mtafya
- National Institute for Medical Research (NIMR), Mbeya Medical Research Centre, Hospital Hill Road 1, P.O.BoX 2410, Mbeya, Tanzania.
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Neumann M, Reimann M, Chesov D, Popa C, Dragomir A, Popescu O, Munteanu R, Hölscher A, Honeyborne I, Heyckendorf J, Lange C, Hölscher C, Kalsdorf B. The molecular bacterial load assay predicts treatment responses in patients with pre-XDR/XDR-tuberculosis more accurately than GeneXpert Ultra MTB/Rif. J Infect 2025; 90:106399. [PMID: 39733827 DOI: 10.1016/j.jinf.2024.106399] [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: 07/05/2024] [Revised: 10/13/2024] [Accepted: 12/22/2024] [Indexed: 12/31/2024]
Abstract
OBJECTIVES Early detection of treatment failure is essential to improve the management of drug-resistant tuberculosis (DR-TB). We evaluated the molecular bacterial load assay (MBLA) in comparison to standard diagnostic tests for monitoring therapy of patients affected by drug-resistant TB. METHODS The performance of MBLA in tracking treatment response in a prospective cohort of patients with pulmonary MDR/RR- and pre-XDR/XDR-TB was compared with mycobacterial culture, mycobacterial DNA detection using GeneXpert (Xpert) and microscopy detection of sputum acid-fast-bacilli. RESULTS Mycobacterium tuberculosis culture conversion was used as the read-out for treatment responses. The MBLA was most concordant during the early phase of treatment, detecting changes in bacterial load with similar accuracy to microscopy and outperforming Xpert. When considering all timepoints, concordance with MGIT results was 72.1% for MBLA, 57.4% for Xpert and 76.7% for microscopy. The AUC for culture conversion was higher for MBLA (0.88, CI 0.84-0.95) than for Xpert (0.78, CI 0.72-0.85) and microscopy (0.77, CI 0.71-0.83). CONCLUSIONS MBLA was superior in the early identification of successful culture conversion compared to microscopy and Xpert and could be a useful biomarker to evaluate novel entities in Phase IIA early-bactericidal-activity drug trials regardless of the degree of M. tuberculosis drug resistance.
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Affiliation(s)
- Marit Neumann
- Division of Infection Immunology, Research Center Borstel, Parkallee 1-40, 23845 Borstel, Germany; German Center for Infection Research (DZIF), Partner site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany
| | - Maja Reimann
- German Center for Infection Research (DZIF), Partner site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany; Division of Clinical Infectious Diseases, Research Center Borstel, Parkallee 1-40, 23845 Borstel, Germany; Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany
| | - Dumitru Chesov
- German Center for Infection Research (DZIF), Partner site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany; Division of Clinical Infectious Diseases, Research Center Borstel, Parkallee 1-40, 23845 Borstel, Germany; Nicolae Testemitanu State University of Medicine and Pharmacy, Stefan cel Mare si Sfant Boulevard 165, MD-2004 Chisinau, Republic of Moldova
| | - Cristina Popa
- National Institute of Pneumology Marius Nasta, Șoseaua Viilor 90, 050159 Bucharest, Romania
| | - Antonela Dragomir
- National Institute of Pneumology Marius Nasta, Șoseaua Viilor 90, 050159 Bucharest, Romania
| | - Oana Popescu
- National Institute of Pneumology Marius Nasta, Șoseaua Viilor 90, 050159 Bucharest, Romania
| | - Roxana Munteanu
- National Institute of Pneumology Marius Nasta, Șoseaua Viilor 90, 050159 Bucharest, Romania
| | - Alexandra Hölscher
- Division of Infection Immunology, Research Center Borstel, Parkallee 1-40, 23845 Borstel, Germany
| | - Isobella Honeyborne
- Centre for Clinical Microbiology, University College London, Gower Street, London WC1E 6BT, United Kingdom
| | - Jan Heyckendorf
- Division of Clinical Infectious Diseases, Research Center Borstel, Parkallee 1-40, 23845 Borstel, Germany; Internal Medicine I, University Hospitals Schleswig-Holstein, Kiel, Germany; Pulmonology and Inflammatory Medicine, Christian Albrechts-University, Kiel, Germany
| | - Christoph Lange
- German Center for Infection Research (DZIF), Partner site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany; Division of Clinical Infectious Diseases, Research Center Borstel, Parkallee 1-40, 23845 Borstel, Germany; Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany; Baylor College of Medicine and Texas Children´s Hospital, Houston, TX, USA
| | - Christoph Hölscher
- Division of Infection Immunology, Research Center Borstel, Parkallee 1-40, 23845 Borstel, Germany; German Center for Infection Research (DZIF), Partner site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany.
| | - Barbara Kalsdorf
- German Center for Infection Research (DZIF), Partner site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany; Division of Clinical Infectious Diseases, Research Center Borstel, Parkallee 1-40, 23845 Borstel, Germany
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Naidoo K, Naidoo A, Abimiku AG, Tiemersma EW, Gebhard A, Hermans SM, Sloan DJ, Ruhwald M, Georghiou SB, Okpokoro E, Agbaje A, Yae K, Tollera G, Moga S, Feyt H, Kachoka T, Letsoalo MP, Cabibbe AM, Perumal R, Shunmugam L, Cirillo DM, Foraida S, Sabiiti W, Ntinginya NE, Mtafya B, Bedru A, Gillespie SH. Triage test for all-oral drug-resistant tuberculosis (DR-TB) regimen: a phase IV study to assess effectiveness, feasibility, acceptability and cost-effectiveness of the Xpert MTB/XDR assay for rapid triage and treatment of DR-TB. BMJ Open 2024; 14:e084722. [PMID: 39609025 PMCID: PMC11603726 DOI: 10.1136/bmjopen-2024-084722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 09/24/2024] [Indexed: 11/30/2024] Open
Abstract
INTRODUCTION The TriAD study will assess the Xpert MTB/XDR (Xpert XDR; Cepheid) assay to detect tuberculosis (TB) drug resistance in sputum testing positive for TB to rapidly triage and treat patients with a short all-oral treatment regimen. METHODS AND ANALYSIS In this study, approximately 4800 Xpert MTB/RIF or Ultra MTB-positive patients (irrespective of rifampicin (RIF) resistance (RR) status) from several clinical sites across South Africa, Nigeria and Ethiopia will be enrolled over 18-24 months and followed-up for approximately 6 months post-TB treatment completion. Participants will be enrolled into one of two cohorts based on Xpert MTB/RIF and Xpert XDR results: Mycobacterium tuberculosis (M.tb) positive participants with RR in Cohort 1 (n=880) and M.tb positive RIF susceptible TB patients with isoniazid mono-resistance irrespective of presence of resistance to fluoroquinolones, second-line injectable drugs or ethionamide in Cohort 2 (n=400). Cohort 1 will be compared with historical cohorts from each implementing sites. The primary study outcomes include time to initiation of an appropriate treatment regimen by resistance profile and the proportion of patients with favourable treatment outcomes compared with historical cohorts from each of the implementing sites. Secondary outcomes include feasibility, acceptability and cost-effectiveness of this approach to inform policies and guidelines for programmatic implementation of this triage and treat model for drug-resistant tuberculosis management. Utility of the tuberculosis molecular bacterial load assay (TB-MBLA) for real-time treatment response assessment will also be evaluated. ETHICS AND DISSEMINATION The University of KwaZulu-Natal Biomedical Research Ethics Committee (BREC) and local research committees have provided ethical review and approval (BREC/00002654/2021, HREC 210805, NHREC/01/01/2007 and EPHI-IRB-459-2022). The South African Health Products Regulatory Authority (SAHPRA) have granted regulatory approval for the TRiAD Study (SAHPRA MD20211001). Trial results will be disseminated through conference presentations, peer-reviewed publications and the clinical trial registry. TRIAL REGISTRATION NUMBER Clinicaltrials.gov; Trial registration number: NCT05175794; South African National Clinical Trials Register (SANCTR DOH-27-012022-4720).
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Affiliation(s)
- Kogieleum Naidoo
- Centre for the Aids Programme of Research in South Africa, Durban, KwaZulu-Natal, South Africa
- SAMRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa
| | - Anushka Naidoo
- Centre for the Aids Programme of Research in South Africa, Durban, KwaZulu-Natal, South Africa
- SAMRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa
| | - Alash'le G Abimiku
- International Research Center of Excellence, Institute of Human Virology Nigeria, Abuja, Nigeria
- University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Everdina W Tiemersma
- Koninklijke Nederlandse Centrale Vereniging tot Bestrijding der Tuberculose, The Hague, The Netherlands
| | - Agnes Gebhard
- Koninklijke Nederlandse Centrale Vereniging tot Bestrijding der Tuberculose, The Hague, The Netherlands
| | - Sabine M Hermans
- Amsterdam UMC location University of Amsterdam, Department of Global Health, Amsterdam Institute for Global Health and Development, Amsterdam, The Netherlands
| | | | - Morten Ruhwald
- Foundation for Innovative New Diagnostics, Geneva, Switzerland
| | | | - Evaezi Okpokoro
- International Research Center of Excellence, Institute of Human Virology Nigeria, Abuja, Nigeria
| | - Aderonke Agbaje
- International Research Center of Excellence, Institute of Human Virology Nigeria, Abuja, Nigeria
| | - Kalkidan Yae
- Koninklijke Nederlandse Centrale Vereniging tot Bestrijding der Tuberculose, Addis Ababa, Ethiopia
| | | | - Shewki Moga
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Hannelise Feyt
- Clinical HIV Research Unit (CHRU), Jose Pearson TB Hospital, Wits Health Consortium Pty Ltd, Port Elizabeth, South Africa
| | - Takondwa Kachoka
- Clinical HIV Research Unit (CHRU), Jose Pearson TB Hospital, Wits Health Consortium Pty Ltd, Port Elizabeth, South Africa
| | - Marothi P Letsoalo
- Centre for the Aids Programme of Research in South Africa, Durban, KwaZulu-Natal, South Africa
| | - Andrea M Cabibbe
- Emerging bacterial pathogens, Ospedale San Raffaele, Milano, Italy
| | - Rubeshan Perumal
- Centre for the Aids Programme of Research in South Africa, Durban, KwaZulu-Natal, South Africa
- SAMRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa
| | - Letitia Shunmugam
- Centre for the Aids Programme of Research in South Africa, Durban, KwaZulu-Natal, South Africa
- SAMRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa
| | | | - Salah Foraida
- Global Alliance for TB Drug Development, New York, New York, USA
| | | | | | - Bariki Mtafya
- National Institute for Medical Research, Dar es Salaam, United Republic of Tanzania
| | - Ahmed Bedru
- Koninklijke Nederlandse Centrale Vereniging tot Bestrijding der Tuberculose, Addis Ababa, Ethiopia
| | | | - on behalf of the TRiAD Study Consortium
- Centre for the Aids Programme of Research in South Africa, Durban, KwaZulu-Natal, South Africa
- SAMRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa
- International Research Center of Excellence, Institute of Human Virology Nigeria, Abuja, Nigeria
- University of Maryland School of Medicine, Baltimore, Maryland, USA
- Koninklijke Nederlandse Centrale Vereniging tot Bestrijding der Tuberculose, The Hague, The Netherlands
- Amsterdam UMC location University of Amsterdam, Department of Global Health, Amsterdam Institute for Global Health and Development, Amsterdam, The Netherlands
- University of St Andrews, St Andrews, UK
- Foundation for Innovative New Diagnostics, Geneva, Switzerland
- Koninklijke Nederlandse Centrale Vereniging tot Bestrijding der Tuberculose, Addis Ababa, Ethiopia
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
- Clinical HIV Research Unit (CHRU), Jose Pearson TB Hospital, Wits Health Consortium Pty Ltd, Port Elizabeth, South Africa
- Emerging bacterial pathogens, Ospedale San Raffaele, Milano, Italy
- Global Alliance for TB Drug Development, New York, New York, USA
- National Institute for Medical Research, Dar es Salaam, United Republic of Tanzania
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Schildkraut JA, Köhler N, Lange C, Duarte R, Gillespie SH. Advances in tuberculosis biomarkers: unravelling risk factors, active disease and treatment success. Breathe (Sheff) 2024; 20:240003. [PMID: 39660087 PMCID: PMC11629168 DOI: 10.1183/20734735.0003-2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 08/23/2024] [Indexed: 12/12/2024] Open
Abstract
Tuberculosis (TB) is a major global health threat and demands improved diagnostic and treatment monitoring methods. Conventional diagnostics, such as sputum smear microscopy and culture, are limited by slow results and low sensitivity, particularly in certain patient groups. Recent advances in biomarker research offer promising solutions in three key areas: risk of disease, diagnosis of active disease and monitoring of treatment response. For risk assessment, novel genetic signatures and metabolites show potential in predicting the progression from TB infection to active TB. A 16-gene signature, for example, predicts this progression with significant accuracy. In diagnosing active TB, RNA-based transcriptomic signatures provide higher diagnostic accuracy than traditional methods. These signatures, such as a three-gene RNA sequence, effectively differentiate active TB from other diseases and infections, addressing issues of specificity and sensitivity. Monitoring treatment response is crucial, given the varying response rates in treating TB. Emerging biomarkers focus on bacterial burden and host response. They offer more precise and timely assessments of treatment efficacy, enhance personalised treatment approaches and potentially improve patient outcomes. These advancements in biomarkers for TB risk, diagnosis and treatment response represent significant steps towards more effective TB management and control, aligning with global efforts to decrease the burden of TB. Here we aim to highlight several promising biomarkers used to predict risk of disease progression, active TB disease and treatment success.
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Affiliation(s)
- Jodie A. Schildkraut
- Department of Pulmonary Disease, Radboudumc Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
- J.A. Schildkraut and N. Köhler contributed equally as first authors
| | - 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
- J.A. Schildkraut and N. Köhler contributed equally as first authors
| | - 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
- Department of Pediatrics, Global and Immigrant Health, Global Tuberculosis Program, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
| | - Raquel Duarte
- EPI Unit, Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal
- Laboratório associado para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
- Departamento de Estudos das Populações, Instituto de Ciências Biomédicas Abel Salazar, Porto, Portugal
- INSA, Instituto de Saúde Pública Doutor Ricardo Jorge, INSA Porto, Portugal
| | - Stephen H. Gillespie
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK
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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 2024; 30:1115-1122. [PMID: 37490968 DOI: 10.1016/j.cmi.2023.07.014] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [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.
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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
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Danso EK, Asare P, Osei-Wusu S, Tetteh P, Tetteh AY, Boadu AA, Lamptey INK, Sylverken AA, Obiri-Danso K, Afriyie Mensah J, Adjei A, Yeboah-Manu D. Tuberculosis patients with diabetes co-morbidity experience reduced Mycobacterium tuberculosis complex clearance. Heliyon 2024; 10:e35670. [PMID: 39170565 PMCID: PMC11336890 DOI: 10.1016/j.heliyon.2024.e35670] [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: 03/22/2024] [Revised: 07/25/2024] [Accepted: 08/01/2024] [Indexed: 08/23/2024] Open
Abstract
Objective This study aimed to investigate the impact of diabetes mellitus (DM) on tuberculosis (TB) treatment response using bacterial clearance as a surrogate marker. Method We compared smear microscopy, culture, and tuberculosis molecular bacterial load assay (TB-MBLA) for treatment monitoring. Following that, bacterial clearance was longitudinally monitored among TB-only (TB without DM) and TB-diabetes (TBDM) patients using TB-MBLA. Results Ninety-three participants, including 59 TB-only and 34 TBDM patients, were enrolled. TB-only patients exhibited higher upper zone infiltrations (32/35 vs 16/22, p = 0.059) suggesting a trend towards significance, and significantly more cavitation in the same zone (16/18 vs 7/13, p = 0.028). There was a high proportion of Mycobacterium africanum (Maf) among the TBDM cohort (p = 0.0044).At baseline, TB-only patients exhibited a higher average bacterial burden (4.49 logeCFU/mL) compared to the TBDM group (3.91 logeCFU/mL) (p = 0.042). The bacterial load in the TB-only group decreased significantly during treatment but the TBDM group experienced delayed clearance throughout the intensive phase of anti-TB treatment even at day 56 (p = 0.028). The TB-only group demonstrated a shorter median time to TB-MBLA conversion to negative (57 days) compared to the TBDM group (62 days) (p = 0.022). Conclusion These findings underscore the urgent call for understanding the interplay between diabetes and TB, emphasizing the need for tailored interventions in optimizing TB care for individuals comorbid with diabetes.
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Affiliation(s)
- Emelia Konadu Danso
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
- Department of Theoretical and Applied Biology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Prince Asare
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Stephen Osei-Wusu
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Phillip Tetteh
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Amanda Yaa Tetteh
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Augustine Asare Boadu
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Ivy Naa Koshie Lamptey
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Augustina Angelina Sylverken
- Department of Theoretical and Applied Biology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
- Kumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Kwasi Obiri-Danso
- Department of Theoretical and Applied Biology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | | | - Abraham Adjei
- Department of Chest Diseases, Korle-Bu Teaching Hospital, Accra, Ghana
| | - Dorothy Yeboah-Manu
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
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Espinosa-Pereiro J, Alagna R, Saluzzo F, González-Moreno J, Heinrich N, Sánchez-Montalvá A, Cirillo DM. A Systematic Review of Potential Biomarkers for Bacterial Burden and Treatment Efficacy Assessment in Tuberculosis Platform-Based Clinical Trials. J Infect Dis 2024; 229:1584-1595. [PMID: 37956107 DOI: 10.1093/infdis/jiad482] [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: 06/05/2023] [Revised: 09/28/2023] [Accepted: 10/27/2023] [Indexed: 11/15/2023] Open
Abstract
Adaptive platform trials can be more efficient than classic trials for developing new treatments. Moving from culture-based to simpler- or faster-to-measure biomarkers as efficacy surrogates may enhance this advantage. We performed a systematic review of treatment efficacy biomarkers in adults with tuberculosis. Platform trials can span different development phases. We grouped biomarkers as: α, bacterial load estimates used in phase 2a trials; β, early and end-of treatment end points, phase 2b-c trials; γ, posttreatment or trial-level estimates, phase 2c-3 trials. We considered as analysis unit (biomarker entry) each combination of biomarker, predicted outcome, and their respective measurement times or intervals. Performance metrics included: sensitivity, specificity, area under the receiver-operator curve (AUC), and correlation measures, and classified as poor, promising, or good. Eighty-six studies included 22 864 participants. From 1356 biomarker entries, 318 were reported with the performance metrics of interest, with 103 promising and 41 good predictors. Group results were: α, mycobacterial RNA and lipoarabinomannan (LAM) in sputum, and host metabolites in urine; β, mycobacterial RNA and host transcriptomic or cytokine signatures for early treatment response; and γ, host transcriptomics for recurrence. A combination of biomarkers from different categories could help in designing more efficient platform trials. Efforts to develop efficacy surrogates should be better coordinated.
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Affiliation(s)
- Juan Espinosa-Pereiro
- Infectious Diseases Department, Vall d'Hebrón University Hospital, Universitat Autónoma de Barcelona, Barcelona, Spain
- International Health Program, Catalan Institute of Health, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infeccioass, Instituto de Salud Carlos III, Madrid, Spain
| | - Riccardo Alagna
- San Raffaele Scientific Institute, Milan, Italy
- Qiagen, Srl, Milan, Italy
| | | | | | - Norbert Heinrich
- Center for International Health, University Hospital, Ludwig Maximilian University Munich, Munich, Germany
- German Center for Infection Research, Munich, Germany
- Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig Maximilian University Munich (DZIF), Partner Site Munich, Munich, Germany
| | - Adrián Sánchez-Montalvá
- Infectious Diseases Department, Vall d'Hebrón University Hospital, Universitat Autónoma de Barcelona, Barcelona, Spain
- International Health Program, Catalan Institute of Health, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infeccioass, Instituto de Salud Carlos III, Madrid, Spain
- Grupo de Estudio de Micobacterias, Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica, Madrid, Spain
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9
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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.
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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.
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10
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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: 41] [Impact Index Per Article: 13.7] [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.
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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
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11
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Mbelele PM, Sabiiti W, Heysell SK, Sauli E, Mpolya EA, Mfinanga S, Gillespie SH, Addo KK, Kibiki G, Sloan DJ, Mpagama SG. Use of a molecular bacterial load assay to distinguish between active TB and post-TB lung disease. Int J Tuberc Lung Dis 2022; 26:276-278. [PMID: 35197168 PMCID: PMC8886960 DOI: 10.5588/ijtld.21.0459] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 11/09/2021] [Indexed: 12/14/2022] Open
Affiliation(s)
- P M Mbelele
- Kibong´oto Infectious Diseases Hospital, Sanya Juu, Siha, Kilimanjaro, Tanzania, Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania
| | - W Sabiiti
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, Scotland, UK
| | - S K Heysell
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
| | - E Sauli
- Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania
| | - E A Mpolya
- Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania
| | - S Mfinanga
- Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania, National Institute for Medical Research (NIMR), Muhimbili Center, Dar es salaam, Tanzania
| | - S H Gillespie
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, Scotland, UK
| | - K K Addo
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - G Kibiki
- Kibong´oto Infectious Diseases Hospital, Sanya Juu, Siha, Kilimanjaro, Tanzania, East African Health Research Commission (EAHRC), Bujumbura, Burundi
| | - D J Sloan
- Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, Scotland, UK
| | - S G Mpagama
- Kibong´oto Infectious Diseases Hospital, Sanya Juu, Siha, Kilimanjaro, Tanzania, Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania
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12
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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: 0.7] [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.
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13
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Mbelele PM, Utpatel C, Sauli E, Mpolya EA, Mutayoba BK, Barilar I, Dreyer V, Merker M, Sariko ML, Swema BM, Mmbaga BT, Gratz J, Addo KK, Pletschette M, Niemann S, Houpt ER, Mpagama SG, Heysell SK. OUP accepted manuscript. JAC Antimicrob Resist 2022; 4:dlac042. [PMID: 35465240 PMCID: PMC9021016 DOI: 10.1093/jacamr/dlac042] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 03/25/2022] [Indexed: 12/02/2022] Open
Abstract
Background Rifampicin- or multidrug-resistant (RR/MDR) Mycobacterium tuberculosis complex (MTBC) strains account for considerable morbidity and mortality globally. WGS-based prediction of drug resistance may guide clinical decisions, especially for the design of RR/MDR-TB therapies. Methods We compared WGS-based drug resistance-predictive mutations for 42 MTBC isolates from MDR-TB patients in Tanzania with the MICs of 14 antibiotics measured in the Sensititre™ MycoTB assay. An isolate was phenotypically categorized as resistant if it had an MIC above the epidemiological-cut-off (ECOFF) value, or as susceptible if it had an MIC below or equal to the ECOFF. Results Overall, genotypically non-wild-type MTBC isolates with high-level resistance mutations (gNWT-R) correlated with isolates with MIC values above the ECOFF. For instance, the median MIC value (mg/L) for rifampicin-gNWT-R strains was >4.0 (IQR 4.0–4.0) compared with 0.5 (IQR 0.38–0.50) in genotypically wild-type (gWT-S, P < 0.001); isoniazid-gNWT-R >4.0 (IQR 2.0–4.0) compared with 0.25 (IQR 0.12–1.00) among gWT-S (P = 0.001); ethionamide-gNWT-R 15.0 (IQR 10.0–20.0) compared with 2.50 (IQR; 2.50–5.00) among gWT-S (P < 0.001). WGS correctly predicted resistance in 95% (36/38) and 100% (38/38) of the rifampicin-resistant isolates with ECOFFs >0.5 and >0.125 mg/L, respectively. No known resistance-conferring mutations were present in genes associated with resistance to fluoroquinolones, aminoglycosides, capreomycin, bedaquiline, delamanid, linezolid, clofazimine, cycloserine, or p-amino salicylic acid. Conclusions WGS-based drug resistance prediction worked well to rule-in phenotypic drug resistance and the absence of second-line drug resistance-mediating mutations has the potential to guide the design of RR/MDR-TB regimens in the future.
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Affiliation(s)
- Peter M. Mbelele
- Kibong’oto Infectious Diseases Hospital (KIDH), Siha, Kilimanjaro, Tanzania
- Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania
- Corresponding author. E-mail:
| | - Christian Utpatel
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research (DZIF) Tuberculosis Unit, Borstel, Germany
| | - Elingarami Sauli
- Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), 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 (NM-AIST), Arusha, Tanzania
| | - Beatrice K. Mutayoba
- Ministry of Health, National AIDS Control Program, Department of Preventive Services, Dodoma, Tanzania
- CIHLMU Center for International Health, University Hospital, LMU Munich, Germany
| | - Ivan Barilar
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research (DZIF) Tuberculosis Unit, Borstel, Germany
| | - Viola Dreyer
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research (DZIF) Tuberculosis Unit, Borstel, Germany
| | - Matthias Merker
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- Evolution of the Resistome, Research Center Borstel, Borstel, Germany
| | | | | | - Blandina T. Mmbaga
- Kilimanjaro Clinical Research Institute, Moshi, Tanzania
- Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | - Jean Gratz
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA
| | - Kennedy K. Addo
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Michel Pletschette
- CIHLMU Center for International Health, University Hospital, LMU Munich, Germany
- Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich (LMU), Munich, Germany
| | - Stefan Niemann
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research (DZIF) Tuberculosis Unit, Borstel, Germany
| | - Eric R. Houpt
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA
| | - Stellah G. Mpagama
- Kibong’oto Infectious Diseases Hospital (KIDH), Siha, Kilimanjaro, Tanzania
- Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania
- Kilimanjaro Clinical Research Institute, Moshi, Tanzania
- Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | - Scott K. Heysell
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA
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14
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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: 9] [Impact Index Per Article: 2.3] [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.
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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
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15
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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: 0.5] [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.
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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
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