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Otchere ID, Asante-Poku A, Akpadja KF, Diallo AB, Sanou A, Asare P, Osei-Wusu S, Onyejepu N, Diarra B, Dagnra YA, Kehinde A, Antonio M, Yeboah-Manu D. Opinion review of drug resistant tuberculosis in West Africa: tackling the challenges for effective control. Front Public Health 2024; 12:1374703. [PMID: 38827613 PMCID: PMC11141065 DOI: 10.3389/fpubh.2024.1374703] [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: 01/22/2024] [Accepted: 04/29/2024] [Indexed: 06/04/2024] Open
Abstract
Drug-resistant (DR) tuberculosis (TB) is a major public health concern globally, complicating TB control and management efforts. West Africa has historically faced difficulty in combating DR-TB due to limited diagnostic skills, insufficient access to excellent healthcare, and ineffective healthcare systems. This has aided in the emergence and dissemination of DR Mycobacterium tuberculosis complex (MTBC) strains in the region. In the past, DR-TB patients faced insufficient resources, fragmented efforts, and suboptimal treatment outcomes. However, current efforts to combat DR-TB in the region are promising. These efforts include strengthening diagnostic capacities, improving access to quality healthcare services, and implementing evidence-based treatment regimens for DR-TB. Additionally, many West African National TB control programs are collaborating with international partners to scale up laboratory infrastructure, enhance surveillance systems, and promote infection control measures. Moreso, novel TB drugs and regimens, such as bedaquiline and delamanid, are being introduced to improve treatment outcomes for DR-TB cases. Despite these obstacles, there is optimism for the future of DR-TB control in West Africa. Investments are being made to improve healthcare systems, expand laboratory capacity, and support TB research and innovation. West African institutions are now supporting knowledge sharing, capacity building, and resource mobilization through collaborative initiatives such as the West African Network for TB, AIDS, and Malaria (WANETAM), the West African Health Organization (WAHO), and other regional or global partners. These efforts hold promise for improved diagnostics, optimized treatment regimens, and provide better patient outcomes in the future where drug-resistant TB in WA can be effectively controlled, reducing the burden of the disease, and improving the health outcomes of affected individuals.
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Affiliation(s)
- Isaac Darko Otchere
- Bacteriology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
- Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, Gambia
| | - Adwoa Asante-Poku
- Bacteriology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | | | - Awa Ba Diallo
- Biological Sciences Department, Faculty of Pharmacy at Cheikh Anta Diop University, Dakar, Senegal
| | - Adama Sanou
- Centre Muraz, Institut National de Santé Publique, Bobo-Dioulasso, Burkina Faso
| | - Prince Asare
- Bacteriology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Stephen Osei-Wusu
- Bacteriology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Nneka Onyejepu
- Microbiology Department, Center for Tuberculosis Research Laboratory, Nigerian Institute of Medical Research, Lagos, Nigeria
| | - Bassirou Diarra
- University Clinical Research Center, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | | | - Aderemi Kehinde
- Department of Medical Microbiology and Parasitology, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Martin Antonio
- Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, Gambia
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Centre for Epidemic Preparedness and Response, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Dorothy Yeboah-Manu
- Bacteriology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
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Komakech K, Nakiyingi L, Fred A, Achan B, Joloba M, Kirenga BJ, Ssengooba W. Effect of mixed Mycobacterium tuberculosis infection on rapid molecular diagnostics among patients starting MDR-TB treatment in Uganda. BMC Infect Dis 2024; 24:70. [PMID: 38200467 PMCID: PMC10782568 DOI: 10.1186/s12879-023-08968-5] [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: 09/04/2023] [Accepted: 12/30/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND Mixed M. tuberculosis (MTB) infection occurs when one is infected with more than one clonally distinct MTB strain. This form of infection can assist MTB strains to acquire additional mutations, facilitate the spread of drug-resistant strains, and boost the rate of treatment failure. Hence, the presence of mixed MTB infection could affect the performance of some rapid molecular diagnostic tests such as Line Probe Assay (LPA) and GeneXpert MTB/RIF (Xpert) assays. METHODS This was a cross-sectional study that used sputum specimens collected from participants screened for STREAM 2 clinical trial between October 2017 and October 2019. Samples from 62 MTB smear-positive patients and rifampicin-resistant patients from peripheral health facilities were processed for Xpert and LPA as screening tests for eligibility in the trial. From November 2020, processed stored sputum samples were retrieved and genotyped to determine the presence of mixed-MTB strain infection using a standard 24-locus Mycobacterial Interspersed Repetitive Unit-Variable Number Tandem-Repeat (MIRU-VNTR). Samples with at least 20/24 MIRU-VNTR loci amplified were considered for analysis. Agar proportional Drug Susceptibility Test (DST) was performed on culture isolates of samples that had discordant results between LPA and Xpert. The impact of the presence of mixed-MTB strain on Xpert and LPA test interpretation was analyzed. RESULTS A total of 53/62 (85%) samples had analyzable results from MIRU-VNTR. The overall prevalence of mixed-MTB infection was 5/53 (9.4%). The prevalence was highest among male's 3/31 (9.7%) and among middle-aged adults, 4/30 (33.3%). Lineage 4 of MTB contributed 3/5 (60.0%) of the mixed-MTB infection prevalence. Having mixed MTB strain infection increased the odds of false susceptible Xpert test results (OR 7.556, 95% CI 0.88-64.44) but not for LPA. Being HIV-positive (P = 0.04) independently predicted the presence of mixed MTB infection. CONCLUSIONS The presence of mixed-MTB strain infection may affect the performance of the GeneXpert test but not for LPA. For patients with high pre-test probability of rifampicin resistance, an alternative rapid method such as LPA should be considered.
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Affiliation(s)
- Kevin Komakech
- Department of Medical Microbiology, Mycobacteriology (BSL-3) Laboratory, Makerere University, Kampala, Uganda
| | - Lydia Nakiyingi
- Department of Medicine, School of Medicine, Makerere University, Kampala, Uganda
| | - Ashab Fred
- Department of Immunology and Molecular Biology, Makerere University, Kampala, Uganda
| | - Beatrice Achan
- Department of Medical Microbiology, Mycobacteriology (BSL-3) Laboratory, Makerere University, Kampala, Uganda
| | - Moses Joloba
- Department of Immunology and Molecular Biology, Makerere University, Kampala, Uganda
| | - Bruce J Kirenga
- Makerere University Lung Institute, Makerere University College of Health Sciences, Kampala, Uganda
| | - Willy Ssengooba
- Department of Medical Microbiology, Mycobacteriology (BSL-3) Laboratory, Makerere University, Kampala, Uganda.
- Makerere University Lung Institute, Makerere University College of Health Sciences, Kampala, Uganda.
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Walter KS, Cohen T, Mathema B, Colijn C, Sobkowiak B, Comas I, Goig GA, Croda J, Andrews JR. Signatures of transmission in within-host M. tuberculosis variation. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.28.23300451. [PMID: 38234741 PMCID: PMC10793532 DOI: 10.1101/2023.12.28.23300451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Background Because M. tuberculosis evolves slowly, transmission clusters often contain multiple individuals with identical consensus genomes, making it difficult to reconstruct transmission chains. Finding additional sources of shared M. tuberculosis variation could help overcome this problem. Previous studies have reported M. tuberculosis diversity within infected individuals; however, whether within-host variation improves transmission inferences remains unclear. Methods To evaluate the transmission information present in within-host M. tuberculosis variation, we re-analyzed publicly available sequence data from three household transmission studies, using household membership as a proxy for transmission linkage between donor-recipient pairs. Findings We found moderate levels of minority variation present in M. tuberculosis sequence data from cultured isolates that varied significantly across studies (mean: 6, 7, and 170 minority variants above a 1% minor allele frequency threshold, outside of PE/PPE genes). Isolates from household members shared more minority variants than did isolates from unlinked individuals in the three studies (mean 98 shared minority variants vs. 10; 0.8 vs. 0.2, and 0.7 vs. 0.2, respectively). Shared within-host variation was significantly associated with household membership (OR: 1.51 [1.30,1.71], for one standard deviation increase in shared minority variants). Models that included shared within-host variation improved the accuracy of predicting household membership in all three studies as compared to models without within-host variation (AUC: 0.95 versus 0.92, 0.99 versus 0.95, and 0.93 versus 0.91). Interpretation Within-host M. tuberculosis variation persists through culture and could enhance the resolution of transmission inferences. The substantial differences in minority variation recovered across studies highlights the need to optimize approaches to recover and incorporate within-host variation into automated phylogenetic and transmission inference. Funding NIAID: 5K01AI173385.
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Affiliation(s)
| | - Ted Cohen
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, USA
| | - Barun Mathema
- Department of Epidemiology, Columbia University Mailman School of Public Health; New York, United States
| | - Caroline Colijn
- Department of Mathematics, Simon Fraser University; Burnaby, Canada
| | - Benjamin Sobkowiak
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, USA
| | - Iñaki Comas
- Institute of Biomedicine of Valencia (CSIC), Valencia, Spain
| | - Galo A Goig
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Julio Croda
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, USA
- Federal University of Mato Grosso do Sul - UFMS, Campo Grande, MS, Brazil
- Oswaldo Cruz Foundation Mato Grosso do Sul, Mato Grosso do Sul, Brazil
| | - Jason R Andrews
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA
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Heupink TH, Verboven L, Sharma A, Rennie V, de Diego Fuertes M, Warren RM, Van Rie A. The MAGMA pipeline for comprehensive genomic analyses of clinical Mycobacterium tuberculosis samples. PLoS Comput Biol 2023; 19:e1011648. [PMID: 38019772 PMCID: PMC10686480 DOI: 10.1371/journal.pcbi.1011648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 11/01/2023] [Indexed: 12/01/2023] Open
Abstract
BACKGROUND Whole genome sequencing (WGS) holds great potential for the management and control of tuberculosis. Accurate analysis of samples with low mycobacterial burden, which are characterized by low (<20x) coverage and high (>40%) levels of contamination, is challenging. We created the MAGMA (Maximum Accessible Genome for Mtb Analysis) bioinformatics pipeline for analysis of clinical Mtb samples. METHODS AND RESULTS High accuracy variant calling is achieved by using a long seedlength during read mapping to filter out contaminants, variant quality score recalibration with machine learning to identify genuine genomic variants, and joint variant calling for low Mtb coverage genomes. MAGMA automatically generates a standardized and comprehensive output of drug resistance information and resistance classification based on the WHO catalogue of Mtb mutations. MAGMA automatically generates phylogenetic trees with drug resistance annotations and trees that visualize the presence of clusters. Drug resistance and phylogeny outputs from sequencing data of 79 primary liquid cultures were compared between the MAGMA and MTBseq pipelines. The MTBseq pipeline reported only a proportion of the variants in candidate drug resistance genes that were reported by MAGMA. Notable differences were in structural variants, variants in highly conserved rrs and rrl genes, and variants in candidate resistance genes for bedaquiline, clofazmine, and delamanid. Phylogeny results were similar between pipelines but only MAGMA visualized clusters. CONCLUSION The MAGMA pipeline could facilitate the integration of WGS into clinical care as it generates clinically relevant data on drug resistance and phylogeny in an automated, standardized, and reproducible manner.
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Affiliation(s)
- Tim H. Heupink
- TORCH Consortium, Global Health Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Lennert Verboven
- TORCH Consortium, Global Health Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
- ADReM Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium
| | - Abhinav Sharma
- SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Vincent Rennie
- TORCH Consortium, Global Health Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Miguel de Diego Fuertes
- TORCH Consortium, Global Health Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Robin M. Warren
- SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Annelies Van Rie
- TORCH Consortium, Global Health Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
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Hamond C, LeCount K, Browne AS, Anderson T, Stuber T, Hicks J, Camp P, Fernandes LGV, van der Linden H, Goris MGA, Bayles DO, Schlater LK, Nally JE. Concurrent colonization of rodent kidneys with multiple species and serogroups of pathogenic Leptospira. Appl Environ Microbiol 2023; 89:e0120423. [PMID: 37819079 PMCID: PMC10617434 DOI: 10.1128/aem.01204-23] [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: 07/14/2023] [Accepted: 08/25/2023] [Indexed: 10/13/2023] Open
Abstract
Rodents are important reservoir hosts of pathogenic leptospires in the US Virgin Islands. Our previous work determined that trapped rodents were colonized with Leptospira borgpetersenii serogroup Ballum (n = 48) and/or Leptospira kirschneri serogroup Icterohaemorrhagiae (n = 3). In addition, nine rodents appeared to be colonized with a mixed population comprising more than one species/serogroup. The aim of this study was to validate this finding by characterizing clonal isolates derived from cultures of mixed species. Cultures of presumptive mixed species (designated LR1, LR5, LR37, LR57, LR60, LR61, LR68, LR70, and LR72) were propagated in different media including Hornsby-Alt-Nally (HAN) media, incubated at both 29℃ and 37℃, and T80/40/LH incubated at 29℃. Polyclonal reference antisera specific for serogroup Ballum and Icterohaemorrhagiae were used to enrich for different serogroups followed by subculture on agar plates. Individual colonies were then selected for genotyping and serotyping. Of the nine cultures of mixed species/serogroups, a single clonal isolate was separated in five of them: L. borgpetersenii serogroup Ballum in LR1, LR5, and LR37, and L. kirschneri serogroup Icterohaemorrhagiae in LR60 and LR72. In four of the cultures with mixed species (LR57, LR61, LR68, and LR70), clonal isolates of both L. borgpetersenii serogroup Ballum and L. kirschneri serogroup Icterohaemorrhagiae were recovered. Our results definitively establish that rodents can be colonized with more than one species/serogroup of Leptospira concurrently. The identification and characterization of multiple species/serogroups of Leptospira from individual reservoir hosts of infection are essential to understand the epidemiology and transmission of disease to both human and domestic animal populations.IMPORTANCEPathogenic Leptospira, the causative agent of human and animal leptospirosis, comprise a diverse genus of species/serogroups which are inherently difficult to isolate from mammalian hosts due to fastidious growth requirements. Molecular evidence has indicated that reservoir hosts of Leptospira may shed multiple species concurrently. However, evidence of this phenomena by culture has been lacking. Culture is definitive and is essential for comprehensive characterization of recovered isolates by high-resolution genome sequencing and serotyping. In this work, a protocol using recently developed novel media formulations, in conjunction with reference antisera, was developed and validated to demonstrate the recovery of multiple species/serogroups of pathogenic Leptospira from the same host. The identification and characterization of multiple species/serogroups of Leptospira from individual reservoir hosts of infection are essential to understand the epidemiology and transmission of disease to both human and domestic animal populations.
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Affiliation(s)
- Camila Hamond
- National Veterinary Services Laboratories, Animal Plant & Health Inspection Service, US Department of Agriculture, Ames, Iowa, USA
- National Center for Animal Health (NCAH) Leptospira working group, US Department of Agriculture, Ames, Iowa, USA
| | - Karen LeCount
- National Veterinary Services Laboratories, Animal Plant & Health Inspection Service, US Department of Agriculture, Ames, Iowa, USA
- National Center for Animal Health (NCAH) Leptospira working group, US Department of Agriculture, Ames, Iowa, USA
| | - A. Springer Browne
- Domestic Animal Health Analytics Team, Center for Epidemiology and Animal Health, US Department of Agriculture, Fort Collins, Colorado, USA
| | - Tammy Anderson
- National Veterinary Services Laboratories, Animal Plant & Health Inspection Service, US Department of Agriculture, Ames, Iowa, USA
- National Center for Animal Health (NCAH) Leptospira working group, US Department of Agriculture, Ames, Iowa, USA
| | - Tod Stuber
- National Veterinary Services Laboratories, Animal Plant & Health Inspection Service, US Department of Agriculture, Ames, Iowa, USA
| | - Jessica Hicks
- National Veterinary Services Laboratories, Animal Plant & Health Inspection Service, US Department of Agriculture, Ames, Iowa, USA
| | - Patrick Camp
- National Veterinary Services Laboratories, Animal Plant & Health Inspection Service, US Department of Agriculture, Ames, Iowa, USA
| | - Luis G. V. Fernandes
- Infectious Bacterial Diseases Research Unit, Agricultural Research Service, US Department of Agriculture, Ames, Iowa, USA
| | - Hans van der Linden
- Department of Medical Microbiology and Infection Prevention, WOAH and National Collaborating Centre for Reference and Research on Leptospirosis, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Marga G. A. Goris
- Department of Medical Microbiology and Infection Prevention, WOAH and National Collaborating Centre for Reference and Research on Leptospirosis, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Darrell O. Bayles
- Infectious Bacterial Diseases Research Unit, Agricultural Research Service, US Department of Agriculture, Ames, Iowa, USA
| | - Linda K. Schlater
- National Veterinary Services Laboratories, Animal Plant & Health Inspection Service, US Department of Agriculture, Ames, Iowa, USA
- National Center for Animal Health (NCAH) Leptospira working group, US Department of Agriculture, Ames, Iowa, USA
| | - Jarlath E. Nally
- National Center for Animal Health (NCAH) Leptospira working group, US Department of Agriculture, Ames, Iowa, USA
- Infectious Bacterial Diseases Research Unit, Agricultural Research Service, US Department of Agriculture, Ames, Iowa, USA
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Zhang X, Lam C, Martinez E, Sim E, Crighton T, Marais BJ, Sintchenko V. Genomic markers of drug resistance in Mycobacterium tuberculosis populations with minority variants. J Clin Microbiol 2023; 61:e0048523. [PMID: 37750734 PMCID: PMC10595065 DOI: 10.1128/jcm.00485-23] [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: 04/18/2023] [Accepted: 07/17/2023] [Indexed: 09/27/2023] Open
Abstract
Minority variants of Mycobacterium tuberculosis harboring mutations conferring resistance can become dominant populations during tuberculosis (TB) treatment, leading to treatment failure. Our understanding of drug-resistant within-host subpopulations and the frequency of resistance-conferring mutations in minority variants remains limited. M. tuberculosis sequences recovered from liquid cultures of culture-confirmed TB cases notified between January 2017 and December 2021 in New South Wales, Australia were examined. Potential drug resistance-conferring minority variants were identified using LoFreq, and mixed populations of different M. tuberculosis strains (≥100 SNPs apart) were examined using QuantTB. A total of 1831 routinely sequenced M. tuberculosis strains were included in the analysis. Drug resistance-conferring minority variants were detected in 3.5% (65/1831) of sequenced cultures; 84.6% (55/65) had majority strains that were drug susceptible and 15.4% (10/65) had majority strains that were drug resistant. Minority variants with high-confidence drug resistance-conferring mutations were 1.5 times more common when the majority strains were drug resistant. Mixed M. tuberculosis strain populations were documented in 10.0% (183/1831) of specimens. Minority variants with high-confidence drug resistance-conferring mutations were more frequently detected in mixed M. tuberculosis strain populations (2.7%, 5/183) than in single strain populations (0.6%, 10/1648; P = 0.01). Drug-resistant minority variants require monitoring in settings that implement routine M. tuberculosis sequencing. The frequency with which drug-resistant minority variants are detected is likely influenced by pre-culture requirement. Culture-independent sequencing methods should provide a more accurate reflection of drug-resistant subpopulations.
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Affiliation(s)
- Xiaomei Zhang
- Centre for Research Excellence in Tuberculosis (TB-CRE), Centenary Institute, Sydney, New South Wales, Australia
- Sydney Infectious Diseases Institute (Sydney ID), The University of Sydney, Sydney, New South Wales, Australia
- Centre for Infectious Diseases and Microbiology-Public Health, Westmead Hospital, Sydney, New South Wales, Australia
| | - Connie Lam
- Sydney Infectious Diseases Institute (Sydney ID), The University of Sydney, Sydney, New South Wales, Australia
- Centre for Infectious Diseases and Microbiology-Public Health, Westmead Hospital, Sydney, New South Wales, Australia
| | - Elena Martinez
- Sydney Infectious Diseases Institute (Sydney ID), The University of Sydney, Sydney, New South Wales, Australia
- Centre for Infectious Diseases and Microbiology-Public Health, Westmead Hospital, Sydney, New South Wales, Australia
- NSW Mycobacterium Reference Laboratory,Centre for Infectious Diseases and Microbiology-Laboratory Services, Institute of Clinical Pathology and Medical Research, NSW Health Pathology, Sydney, New South Wales, Australia
| | - Eby Sim
- Sydney Infectious Diseases Institute (Sydney ID), The University of Sydney, Sydney, New South Wales, Australia
- Centre for Infectious Diseases and Microbiology-Public Health, Westmead Hospital, Sydney, New South Wales, Australia
| | - Taryn Crighton
- Centre for Infectious Diseases and Microbiology-Public Health, Westmead Hospital, Sydney, New South Wales, Australia
- NSW Mycobacterium Reference Laboratory,Centre for Infectious Diseases and Microbiology-Laboratory Services, Institute of Clinical Pathology and Medical Research, NSW Health Pathology, Sydney, New South Wales, Australia
| | - Ben J. Marais
- Centre for Research Excellence in Tuberculosis (TB-CRE), Centenary Institute, Sydney, New South Wales, Australia
- Sydney Infectious Diseases Institute (Sydney ID), The University of Sydney, Sydney, New South Wales, Australia
| | - Vitali Sintchenko
- Centre for Research Excellence in Tuberculosis (TB-CRE), Centenary Institute, Sydney, New South Wales, Australia
- Sydney Infectious Diseases Institute (Sydney ID), The University of Sydney, Sydney, New South Wales, Australia
- Centre for Infectious Diseases and Microbiology-Public Health, Westmead Hospital, Sydney, New South Wales, Australia
- NSW Mycobacterium Reference Laboratory,Centre for Infectious Diseases and Microbiology-Laboratory Services, Institute of Clinical Pathology and Medical Research, NSW Health Pathology, Sydney, New South Wales, Australia
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Komakech K, Nakiyingi L, Fred A, Achan B, Joloba M, Kirenga BJ, Ssengooba W. Effect of mixed Mycobacterium tuberculosis infection on rapid molecular diagnostics among patients starting MDR-TB treatment in Uganda. RESEARCH SQUARE 2023:rs.3.rs-3324330. [PMID: 37841871 PMCID: PMC10571598 DOI: 10.21203/rs.3.rs-3324330/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Abstract
Background We evaluated the effect of mixed-MTB strain infection on the performance of Line Probe Assay (LPA) and GeneXpert MTB/RIF (Xpert) assays among patients initiating MDR-TB treatment in Uganda. Methods This was a cross-sectional study using sputum specimens collected from participants screened for STREAM 2 clinical trial between October 2017 and October 2019. Samples from 62 MTB smear-positive patients and rifampicin-resistant patients from the peripheral health facilities were processed for Xpert and LPA as screening tests for eligibility in the trial. From November 2020, processed stored sputum samples were retrieved and genotyped to determine the presence of mixed-MTB strain infection using a standard 24-locus Mycobacterial Interspersed Repetitive Unit-Variable Number Tandem-Repeat (MIRU-VNTR). Samples with at least 20/24 MIRU-VNTR loci amplified were considered for analysis. Agar proportional Drug Susceptibility Test (DST) was performed on culture isolates of samples that had discordant results between LPA and Xpert. The impact of the presence of mixed-MTB strain on Xpert and LPA test interpretation was analyzed. Results A total of 53/62 (85%) samples had analyzable results from MIRU-VNTR. The overall prevalence of mixed-MTB infection was 5/53 (9.4%). The prevalence was highest among males 3/33 (9.7%) and among middle-aged adults, 4/30 (13.3%). Lineage 4 of MTB contributed 3/33 (9.1%) of the mixed-MTB infection prevalence. Having mixed MTB strain infection increased the odds of false susceptible Xpert test results (OR 7.556, 95% CI 0.88-64.44) but not for LPA. Being HIV-positive (P=0.04) independently predicted the presence of mixed MTB infection. Conclusions The presence of mixed-MTB strain infection may affect the performance of the GeneXpert test but not for LPA. For patients with high pre-test probability of rifampicin resistance, an alternative rapid method such as LPA should be considered.
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Affiliation(s)
| | | | | | | | | | - Bruce J Kirenga
- Makerere University Lung Institute, Makerere University College of Health Sciences
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Byrne A, Bissonnette N, Ollier S, Tahlan K. Investigating in vivo Mycobacterium avium subsp. paratuberculosis microevolution and mixed strain infections. Microbiol Spectr 2023; 11:e0171623. [PMID: 37584606 PMCID: PMC10581078 DOI: 10.1128/spectrum.01716-23] [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: 04/28/2023] [Accepted: 07/10/2023] [Indexed: 08/17/2023] Open
Abstract
Mycobacterium avium subsp. paratuberculosis (MAP) causes Johne's Disease (JD) in ruminants, which is responsible for significant economic loss to the global dairy industry. Mixed strain infection (MSI) refers to the concurrent infection of a susceptible host with genetically distinct strains of a pathogen, whereas within-host changes in an infecting strain leading to genetically distinguishable progeny is called microevolution. The two processes can influence host-pathogen dynamics, disease progression and outcomes, but not much is known about their prevalence and impact on JD. Therefore, we obtained up to 10 MAP isolates each from 14 high-shedding animals and subjected them to whole-genome sequencing. Twelve of the 14 animals examined showed evidence for the presence of MSIs and microevolution, while the genotypes of MAP isolates from the remaining two animals could be attributed solely to microevolution. All MAP isolates that were otherwise isogenic had differences in short sequence repeats (SSRs), of which SSR1 and SSR2 were the most diverse and homoplastic. Variations in SSR1 and SSR2, which are located in ORF1 and ORF2, respectively, affect the genetic reading frame, leading to protein products with altered sequences and computed structures. The ORF1 gene product is predicted to be a MAP surface protein with possible roles in host immune modulation, but nothing could be inferred regarding the function of ORF2. Both genes are conserved in Mycobacterium avium complex members, but SSR1-based modulation of ORF1 reading frames seems to only occur in MAP, which could have potential implications on the infectivity of this pathogen. IMPORTANCE Johne's disease (JD) is a major problem in dairy animals, and concerns have been raised regarding the association of Mycobacterium avium subsp. paratuberculosis (MAP) with Crohn's disease in humans. MAP is an extremely slow-growing bacterium with low genome evolutionary rates. Certain short sequence repeats (SSR1 and SSR2) in the MAP chromosome are highly variable and evolve at a faster rate than the rest of the chromosome. In the current study, multiple MAP isolates with genetic variations such as single-nucleotide polymorphisms, and more noticeably, diverse SSRs, could simultaneously infect animals. Variations in SSR1 and SSR2 affect the products of the respective genes containing them. Since multiple MAP isolates can infect the same animal and the possibility that the pathogen undergoes further changes within the host due to unstable SSRs, this could provide a compensative mechanism for an otherwise slow-evolving pathogen to increase phenotypic diversity for overcoming host responses.
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Affiliation(s)
- Alexander Byrne
- Department of Biology, Memorial University of Newfoundland, St. John’s, Newfoundland and Labrador, Canada
| | - Nathalie Bissonnette
- Sherbrooke Research and Development Centre, Agriculture and Agri-Food Canada, Sherbrooke, Quebec, Canada
| | - Séverine Ollier
- Sherbrooke Research and Development Centre, Agriculture and Agri-Food Canada, Sherbrooke, Quebec, Canada
| | - Kapil Tahlan
- Department of Biology, Memorial University of Newfoundland, St. John’s, Newfoundland and Labrador, Canada
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Faye LM, Hosu MC, Oostvogels S, Dippenaar A, Warren RM, Sineke N, Vasaikar S, Apalata T. The Detection of Mutations and Genotyping of Drug-Resistant Mycobacterium tuberculosis Strains Isolated from Patients in the Rural Eastern Cape Province. Infect Dis Rep 2023; 15:403-416. [PMID: 37489395 PMCID: PMC10366782 DOI: 10.3390/idr15040041] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 07/01/2023] [Accepted: 07/06/2023] [Indexed: 07/26/2023] Open
Abstract
Drug-resistant tuberculosis (DR-TB) is still a major public health concern in South Africa. Mutations in M. tuberculosis can cause varying levels of phenotypic resistance to anti-TB medications. There have been no prior studies on gene mutations and the genotyping of DR-TB in the rural Eastern Cape Province; hence, we aimed to identify DR-TB mutations, genetic diversity, and allocated lineages among patients in this area. Using Xpert® MTB/RIF, we assessed the rifampin resistance of sputum samples collected from 1157 patients suspected of having tuberculosis. GenoType MTBDR plus VER 2.0 was used for the detection of mutations causing resistance to anti-TB medications. The next step was to spoligotype 441 isolates. The most prevalent rifampin resistance-conferring mutations were in rpoB codon S531L in INH-resistant strains; the katG gene at codon S315TB and the inhA gene at codon C-15TB had the most mutations; 54.5% and 24.7%, respectively. In addition, 24.6% of strains showed mutations in both the rpoB and inhA genes, while 69.9% of strains showed mutations in both the katG and rpoB genes. Heteroresistance was seen in 17.9% of all cases in the study. According to spoligotyping analysis, Beijing families predominated. Investigation of the evolutionary lineages of M. tuberculosis isolates can be carried out using the information provided by the study's diversity of mutations. In locations wherein these mutations have been discovered, decision-making regarding the standardization of treatment regimens or individualized treatment may be aided by the detection frequency of rpoB, katG, and inhA mutations in various study areas.
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Affiliation(s)
- Lindiwe M Faye
- Department of Laboratory Medicine and Pathology, Walter Sisulu University, Mthatha 5099, South Africa
- National Health Laboratory Services (NHLS), Mthatha 5099, South Africa
| | - Mojisola C Hosu
- Department of Laboratory Medicine and Pathology, Walter Sisulu University, Mthatha 5099, South Africa
- National Health Laboratory Services (NHLS), Mthatha 5099, South Africa
| | - Selien Oostvogels
- Family Medicine and Population Health (FAMPOP), Faculty of Medicine and Health Sciences, University of Antwerp, BE-2000 Antwerp, Belgium
| | - Anzaan Dippenaar
- Family Medicine and Population Health (FAMPOP), Faculty of Medicine and Health Sciences, University of Antwerp, BE-2000 Antwerp, Belgium
| | - Robin M Warren
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council, Parowvallei, Cape Town 7505, South Africa
- Centre for Molecular and Cellular Biology, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 7505, South Africa
| | - Ncomeka Sineke
- Department of Laboratory Medicine and Pathology, Walter Sisulu University, Mthatha 5099, South Africa
- National Health Laboratory Services (NHLS), Mthatha 5099, South Africa
| | - Sandeep Vasaikar
- Department of Laboratory Medicine and Pathology, Walter Sisulu University, Mthatha 5099, South Africa
- National Health Laboratory Services (NHLS), Mthatha 5099, South Africa
| | - Teke Apalata
- Department of Laboratory Medicine and Pathology, Walter Sisulu University, Mthatha 5099, South Africa
- National Health Laboratory Services (NHLS), Mthatha 5099, South Africa
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10
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Pérez-Llanos FJ, Dreyer V, Barilar I, Utpatel C, Kohl TA, Murcia MI, Homolka S, Merker M, Niemann S. Transmission Dynamics of a Mycobacterium tuberculosis Complex Outbreak in an Indigenous Population in the Colombian Amazon Region. Microbiol Spectr 2023; 11:e0501322. [PMID: 37222610 PMCID: PMC10269451 DOI: 10.1128/spectrum.05013-22] [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: 12/20/2022] [Accepted: 05/04/2023] [Indexed: 05/25/2023] Open
Abstract
Whole genome sequencing (WGS) has become the main tool for studying the transmission of Mycobacterium tuberculosis complex (MTBC) strains; however, the clonal expansion of one strain often limits its application in local MTBC outbreaks. The use of an alternative reference genome and the inclusion of repetitive regions in the analysis could potentially increase the resolution, but the added value has not yet been defined. Here, we leveraged short and long WGS read data of a previously reported MTBC outbreak in the Colombian Amazon Region to analyze possible transmission chains among 74 patients in the indigenous setting of Puerto Nariño (March to October 2016). In total, 90.5% (67/74) of the patients were infected with one distinct MTBC strain belonging to lineage 4.3.3. Employing a reference genome from an outbreak strain and highly confident single nucleotide polymorphisms (SNPs) in repetitive genomic regions, e.g., the proline-glutamic acid/proline-proline-glutamic-acid (PE/PPE) gene family, increased the phylogenetic resolution compared to a classical H37Rv reference mapping approach. Specifically, the number of differentiating SNPs increased from 890 to 1,094, which resulted in a more granular transmission network as judged by an increasing number of individual nodes in a maximum parsimony tree, i.e., 5 versus 9 nodes. We also found in 29.9% (20/67) of the outbreak isolates, heterogenous alleles at phylogenetically informative sites, suggesting that these patients are infected with more than one clone. In conclusion, customized SNP calling thresholds and employment of a local reference genome for a mapping approach can improve the phylogenetic resolution in highly clonal MTBC populations and help elucidate within-host MTBC diversity. IMPORTANCE The Colombian Amazon around Puerto Nariño has a high tuberculosis burden with a prevalence of 1,267/100,000 people in 2016. Recently, an outbreak of Mycobacterium tuberculosis complex (MTBC) bacteria among the indigenous populations was identified with classical MTBC genotyping methods. Here, we employed a whole-genome sequencing-based outbreak investigation in order to improve the phylogenetic resolution and gain new insights into the transmission dynamics in this remote Colombian Amazon Region. The inclusion of well-supported single nucleotide polymorphisms in repetitive regions and a de novo-assembled local reference genome provided a more granular picture of the circulating outbreak strain and revealed new transmission chains. Multiple patients from different settlements were possibly infected with at least two different clones in this high-incidence setting. Thus, our results have the potential to improve molecular surveillance studies in other high-burden settings, especially regions with few clonal multidrug-resistant (MDR) MTBC lineages/clades.
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Affiliation(s)
| | - Viola Dreyer
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Germany
| | - Ivan Barilar
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Germany
| | - Christian Utpatel
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Germany
| | - Thomas A. Kohl
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Germany
| | - Martha Isabel Murcia
- Grupo MICOBAC-UN, Departamento de Microbiología, Facultad de Medicina, Universidad Nacional de Colombia, Bogotá, Colombia
| | - Susanne Homolka
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
| | - Matthias Merker
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Germany
- Evolution of the Resistome, Research Center Borstel, Borstel, Germany
| | - Stefan Niemann
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Germany
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11
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Chen Y, Jiang Q, Liu Q, Gan M, Takiff HE, Gao Q. Whole-Genome Sequencing Exhibits Better Diagnostic Performance than Variable-Number Tandem Repeats for Identifying Mixed Infections of Mycobacterium tuberculosis. Microbiol Spectr 2023; 11:e0357022. [PMID: 37098911 PMCID: PMC10269500 DOI: 10.1128/spectrum.03570-22] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 04/10/2023] [Indexed: 04/27/2023] Open
Abstract
Mixed infections of Mycobacterium tuberculosis, defined as the coexistence of multiple genetically distinct strains within a single host, have been associated with unfavorable treatment outcomes. Different methods have been used to detect mixed infections, but their performances have not been carefully evaluated. To compare the sensitivity of whole-genome sequencing (WGS) and variable-number tandem repeats (VNTR) typing to detect mixed infections, we prepared 10 artificial samples composed of DNA mixtures from two strains in different proportions and retrospectively collected 1,084 clinical isolates. The limit of detection (LOD) for the presence of a minor strain was 5% for both WGS and VNTR typing. The overall clinical detection rate of mixed infections was 3.7% (40/1,084) for the two methods combined, WGS identified 37/1,084 (3.4%), and VNTR typing identified 14/1,084 (1.3%), including 11 also identified by WGS. Multivariate analysis demonstrated that retreatment patients had a 2.7 times (95% confidence interval [CI], 1.2 to 6.0) higher risk of mixed infections than new cases. Collectively, WGS is a more reliable tool to identify mixed infections than VNTR typing, and mixed infections are more common in retreated patients. IMPORTANCE Mixed infections of M. tuberculosis have the potential to render treatment regimens ineffective and affect the transmission dynamics of the disease. VNTR typing, currently the most widely used method for the detection of mixed infections, detects mixed infections only by interrogating a small fraction of the M. tuberculosis genome, which necessarily limits sensitivity. With the introduction of WGS, it became possible to study the entire genome, but no quantitative comparison has yet been undertaken. Our systematic comparison of the ability of WGS and VNTR typing to detect mixed infections, using both artificial samples and clinical isolates, revealed the superior performance of WGS at a high sequencing depth (~100×) and found that mixed infections are more common in patients being retreated for tuberculosis (TB) in the populations studied. This provides valuable information for the application of WGS in the detection of mixed infections and the implications of mixed infections for tuberculosis control.
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Affiliation(s)
- Yiwang Chen
- National Clinical Research Center for Infectious Diseases, Shenzhen Third People’s Hospital, Shenzhen, Guangdong, China
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
| | - Qi Jiang
- School of Public Health, Public Health Research Institute of Renmin Hospital, Wuhan University, Wuhan, China
| | - Qingyun Liu
- Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Mingyu Gan
- Molecular Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Howard E. Takiff
- Instituto Venezolano de Investigaciones Cientificas (IVIC), Caracas, Venezuela
| | - Qian Gao
- National Clinical Research Center for Infectious Diseases, Shenzhen Third People’s Hospital, Shenzhen, Guangdong, China
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
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12
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Dookie N, Ngema SL, Perumal R, Naicker N, Padayatchi N, Naidoo K. The Changing Paradigm of Drug-Resistant Tuberculosis Treatment: Successes, Pitfalls, and Future Perspectives. Clin Microbiol Rev 2022; 35:e0018019. [PMID: 36200885 PMCID: PMC9769521 DOI: 10.1128/cmr.00180-19] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
Drug-resistant tuberculosis (DR-TB) remains a global crisis due to the increasing incidence of drug-resistant forms of the disease, gaps in detection and prevention, models of care, and limited treatment options. The DR-TB treatment landscape has evolved over the last 10 years. Recent developments include the remarkable activity demonstrated by the newly approved anti-TB drugs bedaquiline and pretomanid against Mycobacterium tuberculosis. Hence, treatment of DR-TB has drastically evolved with the introduction of the short-course regimen for multidrug-resistant TB (MDR-TB), transitioning to injection-free regimens and the approval of the 6-month short regimens for rifampin-resistant TB and MDR-TB. Moreover, numerous clinical trials are under way with the aim to reduce pill burden and shorten the DR-TB treatment duration. While there have been apparent successes in the field, some challenges remain. These include the ongoing inclusion of high-dose isoniazid in DR-TB regimens despite a lack of evidence for its efficacy and the inclusion of ethambutol and pyrazinamide in the standard short regimen despite known high levels of background resistance to both drugs. Furthermore, antimicrobial heteroresistance, extensive cavitary disease and intracavitary gradients, the emergence of bedaquiline resistance, and the lack of biomarkers to monitor DR-TB treatment response remain serious challenges to the sustained successes. In this review, we outline the impact of the new drugs and regimens on patient treatment outcomes, explore evidence underpinning current practices on regimen selection and duration, reflect on the disappointments and pitfalls in the field, and highlight key areas that require continued efforts toward improving treatment approaches and rapid biomarkers for monitoring treatment response.
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Affiliation(s)
- Navisha Dookie
- Centre for the AIDS Programme of Research in South Africa, University of KwaZulu-Natal, Durban, South Africa
| | - Senamile L. Ngema
- Centre for the AIDS Programme of Research in South Africa, University of KwaZulu-Natal, Durban, South Africa
| | - Rubeshan Perumal
- Centre for the AIDS Programme of Research in South Africa, University of KwaZulu-Natal, Durban, South Africa
- South African Medical Research Council–CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Durban, South Africa
| | - Nikita Naicker
- Centre for the AIDS Programme of Research in South Africa, University of KwaZulu-Natal, Durban, South Africa
- South African Medical Research Council–CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Durban, South Africa
| | - Nesri Padayatchi
- Centre for the AIDS Programme of Research in South Africa, University of KwaZulu-Natal, Durban, South Africa
- South African Medical Research Council–CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Durban, South Africa
| | - Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa, University of KwaZulu-Natal, Durban, South Africa
- South African Medical Research Council–CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Durban, South Africa
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13
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Jäger HY, Maixner F, Pap I, Szikossy I, Pálfi G, Zink AR. Metagenomic analysis reveals mixed Mycobacterium tuberculosis infection in a 18th century Hungarian midwife. Tuberculosis (Edinb) 2022; 137:102181. [PMID: 35210171 DOI: 10.1016/j.tube.2022.102181] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 01/12/2022] [Accepted: 02/03/2022] [Indexed: 01/24/2023]
Abstract
The Vác Mummy Collection comprises 265 well documented mummified individuals from the late 16th to the early 18th century that were discovered in 1994 inside a crypt in Vác, Hungary. This collection offers a unique opportunity to study the relationship between humans and pathogens in the pre-antibiotic era, as previous studies have shown a high proportion of tuberculosis (TB) infections among the individuals. In this study, we recovered ancient DNA with shotgun sequencing from a rib bone sample of a 18th century midwife. This individual is part of the collection and shows clear skeletal changes that are associated with tuberculosis and syphilis. To provide molecular proof, we applied a metagenomic approach to screen for ancient pathogen DNA. While we were unsuccessful to recover any ancient Treponema pallidum DNA, we retrieved high coverage ancient TB DNA and identified a mixed infection with two distinct TB strains by detailed single-nucleotide polymorphism and phylogenetic analysis. Thereby, we have obtained comprehensive results demonstrating the long-time prevalence of mixed infections with the sublineages L4.1.2.1/Haarlem and L4.10/PGG3 within the local community in preindustrial Hungary and put them in context of sociohistorical factors.
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Affiliation(s)
- Heidi Y Jäger
- Institute for Mummy Studies, Eurac Research, Viale Druso, 1, 39100, Bolzano, Italy.
| | - Frank Maixner
- Institute for Mummy Studies, Eurac Research, Viale Druso, 1, 39100, Bolzano, Italy.
| | - Ildikó Pap
- Department of Biological Anthropology, Faculty of Science and Informatics, University of Szeged, 6726, Szeged, Közép Fasor 52, Hungary; Department of Anthropology, Hungarian Natural History Museum, 1083, Budapest, Ludovika tér 2-6, Hungary; Department of Biological Anthropology, Eötvös Loránd University, Faculty of Science, 1117, Budapest, Pázmány Péter sétány 1/c, Hungary.
| | - Ildikó Szikossy
- Department of Biological Anthropology, Faculty of Science and Informatics, University of Szeged, 6726, Szeged, Közép Fasor 52, Hungary; Department of Anthropology, Hungarian Natural History Museum, 1083, Budapest, Ludovika tér 2-6, Hungary.
| | - György Pálfi
- Department of Biological Anthropology, Faculty of Science and Informatics, University of Szeged, 6726, Szeged, Közép Fasor 52, Hungary.
| | - Albert R Zink
- Institute for Mummy Studies, Eurac Research, Viale Druso, 1, 39100, Bolzano, Italy.
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14
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Chengalroyen MD, Beukes GM, Otwombe K, Gordhan BG, Martinson N, Kana B. The detection of mixed tuberculosis infections using culture filtrate and resuscitation promoting factor deficient filtrate. Front Cell Infect Microbiol 2022; 12:1072073. [PMID: 36506007 PMCID: PMC9729742 DOI: 10.3389/fcimb.2022.1072073] [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: 10/17/2022] [Accepted: 11/08/2022] [Indexed: 11/25/2022] Open
Abstract
Tuberculosis (TB) infected individuals harbor a heterogenous population of differentially culturable tubercle bacilli (DCTB). Herein, we describe how DCTB assays using culture filtrate either containing or deficient in resuscitation promoting factors can uncover mixed infections. We demonstrate that Mycobacterium tuberculosis (Mtb) strain genotypes can be separated in DCTB assays based on their selective requirement for growth stimulatory factors. Beijing mixed infections appear to be associated with a higher bacterial load and reduced reliance on growth stimulatory factors. These data have important implications for identifying mixed infections and hetero-resistance, which in turn can affect selection of treatment regimen and establishment of transmission links.
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Affiliation(s)
- Melissa D. Chengalroyen
- National Health Laboratory Service, DST/NRF Centre of Excellence for Biomedical TB Research, University of the Witwatersrand, Johannesburg, South Africa
| | - Germar M. Beukes
- National Health Laboratory Service, DST/NRF Centre of Excellence for Biomedical TB Research, University of the Witwatersrand, Johannesburg, South Africa
| | - Kennedy Otwombe
- Perinatal HIV Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Bhavna G. Gordhan
- National Health Laboratory Service, DST/NRF Centre of Excellence for Biomedical TB Research, University of the Witwatersrand, Johannesburg, South Africa
| | - Neil Martinson
- National Health Laboratory Service, DST/NRF Centre of Excellence for Biomedical TB Research, University of the Witwatersrand, Johannesburg, South Africa,Perinatal HIV Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa,Center for TB Research, Johns Hopkins University, Baltimore, MD, United States
| | - Bavesh Kana
- National Health Laboratory Service, DST/NRF Centre of Excellence for Biomedical TB Research, University of the Witwatersrand, Johannesburg, South Africa,*Correspondence: Bavesh Kana,
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15
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Dartois VA, Rubin EJ. Anti-tuberculosis treatment strategies and drug development: challenges and priorities. Nat Rev Microbiol 2022; 20:685-701. [PMID: 35478222 PMCID: PMC9045034 DOI: 10.1038/s41579-022-00731-y] [Citation(s) in RCA: 116] [Impact Index Per Article: 58.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/23/2022] [Indexed: 12/12/2022]
Abstract
Despite two decades of intensified research to understand and cure tuberculosis disease, biological uncertainties remain and hamper progress. However, owing to collaborative initiatives including academia, the pharmaceutical industry and non-for-profit organizations, the drug candidate pipeline is promising. This exceptional success comes with the inherent challenge of prioritizing multidrug regimens for clinical trials and revamping trial designs to accelerate regimen development and capitalize on drug discovery breakthroughs. Most wanted are markers of progression from latent infection to active pulmonary disease, markers of drug response and predictors of relapse, in vitro tools to uncover synergies that translate clinically and animal models to reliably assess the treatment shortening potential of new regimens. In this Review, we highlight the benefits and challenges of 'one-size-fits-all' regimens and treatment duration versus individualized therapy based on disease severity and host and pathogen characteristics, considering scientific and operational perspectives.
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Affiliation(s)
- Véronique A Dartois
- Center for Discovery and Innovation, and Hackensack Meridian School of Medicine, Department of Medical Sciences, Hackensack Meridian Health, Nutley, NJ, USA.
| | - Eric J Rubin
- Harvard T.H. Chan School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA, USA
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16
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Strain level microbial detection and quantification with applications to single cell metagenomics. Nat Commun 2022; 13:6430. [PMID: 36307411 PMCID: PMC9616933 DOI: 10.1038/s41467-022-33869-7] [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: 09/23/2021] [Accepted: 10/04/2022] [Indexed: 12/25/2022] Open
Abstract
Computational identification and quantification of distinct microbes from high throughput sequencing data is crucial for our understanding of human health. Existing methods either use accurate but computationally expensive alignment-based approaches or less accurate but computationally fast alignment-free approaches, which often fail to correctly assign reads to genomes. Here we introduce CAMMiQ, a combinatorial optimization framework to identify and quantify distinct genomes (specified by a database) in a metagenomic dataset. As a key methodological innovation, CAMMiQ uses substrings of variable length and those that appear in two genomes in the database, as opposed to the commonly used fixed-length, unique substrings. These substrings allow to accurately decouple mixtures of highly similar genomes resulting in higher accuracy than the leading alternatives, without requiring additional computational resources, as demonstrated on commonly used benchmarking datasets. Importantly, we show that CAMMiQ can distinguish closely related bacterial strains in simulated metagenomic and real single-cell metatranscriptomic data.
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17
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Boopathi S, Ramasamy S, Haridevamuthu B, Murugan R, Veerabadhran M, Jia AQ, Arockiaraj J. Intercellular communication and social behaviors in mycobacteria. Front Microbiol 2022; 13:943278. [PMID: 36177463 PMCID: PMC9514802 DOI: 10.3389/fmicb.2022.943278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 08/22/2022] [Indexed: 11/13/2022] Open
Abstract
Cell-to-cell communication is a fundamental process of bacteria to exert communal behaviors. Sputum samples of patients with cystic fibrosis have often been observed with extensive mycobacterial genetic diversity. The emergence of heterogenic mycobacterial populations is observed due to subtle changes in their morphology, gene expression level, and distributive conjugal transfer (DCT). Since each subgroup of mycobacteria has different hetero-resistance, they are refractory against several antibiotics. Such genetically diverse mycobacteria have to communicate with each other to subvert the host immune system. However, it is still a mystery how such heterogeneous strains exhibit synchronous behaviors for the production of quorum sensing (QS) traits, such as biofilms, siderophores, and virulence proteins. Mycobacteria are characterized by division of labor, where distinct sub-clonal populations contribute to the production of QS traits while exchanging complimentary products at the community level. Thus, active mycobacterial cells ensure the persistence of other heterogenic clonal populations through cooperative behaviors. Additionally, mycobacteria are likely to establish communication with neighboring cells in a contact-independent manner through QS signals. Hence, this review is intended to discuss our current knowledge of mycobacterial communication. Understanding mycobacterial communication could provide a promising opportunity to develop drugs to target key pathways of mycobacteria.
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Affiliation(s)
- Seenivasan Boopathi
- Key Laboratory of Tropical Biological Resources of Ministry Education, School of Pharmaceutical Sciences, Hainan University, Haikou, China
- Department of Biotechnology, College of Science and Humanities, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India
| | - Subbiah Ramasamy
- Department of Biochemistry, Cardiac Metabolic Disease Laboratory, School of Biological Sciences, Madurai Kamaraj University, Madurai, India
| | - B. Haridevamuthu
- Department of Biotechnology, College of Science and Humanities, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India
| | - Raghul Murugan
- Department of Biotechnology, College of Science and Humanities, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India
| | - Maruthanayagam Veerabadhran
- Biofouling and Biofilm Processes Section, Water and Steam Chemistry Division, Bhabha Atomic Research Centre Facilities, Kalpakkam, Tamil Nadu, India
| | - Ai-Qun Jia
- Key Laboratory of Tropical Biological Resources of Ministry Education, School of Pharmaceutical Sciences, Hainan University, Haikou, China
- *Correspondence: Ai-Qun Jia
| | - Jesu Arockiaraj
- Department of Biotechnology, College of Science and Humanities, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India
- Jesu Arockiaraj ;
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18
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Successful Direct Whole Genome Sequencing and Revivification of Freeze-Dried Nontuberculous Mycobacteria after More than Half a Century of Storage. Microbiol Spectr 2022; 10:e0031022. [PMID: 35587637 PMCID: PMC9241853 DOI: 10.1128/spectrum.00310-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
In this study, 28 “historical” clinical freeze-dried nontuberculous mycobacterial isolates collected from 1948 to 1957, were analyzed by investigating their viability and performing whole genome sequencing (WGS) on DNA extracted (i) directly from freeze-dried cells versus (ii) after culturing, to determine cell properties and DNA quality after centuries of freeze-dried storage. The isolated DNA was sequenced on the Illumina MiSeq platform and data quality evaluated analyzing the per-base quality scores of paired-end sequencing reads as well as the overall contiguity of resulting de novo assemblies. After 72 years in storage, all freeze-dried isolates were viable, and showed no signs of cell damage and limited signs of contamination when reculturing. They were recultured without problems and identified through WGS with only four of 13 parameters showing statistical significance based on sequence data obtained directly from the freeze-dried cells versus after reculturing, indicating no DNA degradation. Thus, mycobacteria can be whole genome sequenced successfully directly from freeze-dried material without prior recultivation, saving laboratory time and resources, and emphasizing the value of freeze-drying for long-term storage. Our study lays the groundwork for further genomic investigations of freeze-dried bacterial isolates, and the approximately 4,000 historical isolates in our collection will provide a unique opportunity to investigate mycobacterial DNA from a variety of NTM species unexposed to antimicrobials, some maybe still undescribed species. IMPORTANCE The genus Mycobacterium was described more than a century ago and new species are continuously identified and described. There is an ongoing discussion about an increase in the incidence of disease caused by nontuberculous mycobacteria (NTM). How the different bacteria looked before exposure to antibiotics can only be investigated by looking at strains from before the antibiotic era. Strains from that era will be stored in different ways, for example by freeze-drying. The question is how to investigate these strains, and if they are still viable, whether they need to be cultured, and if that changes the DNA. Here, we test all these parameters on freeze-dried strains and show that NGS can be applied directly without culturing.
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19
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Wyllie D, Do T, Myers R, Nikolayevskyy V, Crook D, Peto T, Alexander E, Robinson E, Walker AS, Campbell C, Smith EG. M. tuberculosis microvariation is common and is associated with transmission: analysis of three years prospective universal sequencing in England. J Infect 2022; 85:31-39. [PMID: 35595102 DOI: 10.1016/j.jinf.2022.05.011] [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: 08/25/2019] [Revised: 01/07/2022] [Accepted: 05/12/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND The prevalence, association with disease status, and public health impact of infection with mixtures of M. tuberculosis strains is unclear, in part due to limitations of existing methods for detecting mixed infections. METHODS We developed an algorithm to identify mixtures of M. tuberculosis strains using next generation sequencing data, assessing performance using simulated sequences. We identified mixed M. tuberculosis strains when there was at least one mixed nucleotide position, and where both the mixture's components were present in similar isolates from other individuals, compatible with transmission of the component strains. We determined risk factors for mixed infection among isolations of M. tuberculosis in England using logistic regression. We used survival analyses to assess the association between mixed infection and putative transmission. FINDINGS 6,560 isolations of TB were successfully sequenced in England 2016-2018. Of 3,691 (56%) specimens for which similar sequences had been isolated from at least two other individuals, 341 (9.2%) were mixed. Mixed infection was more common in lineages other than Lineage 4. Among the 1,823 individuals with pulmonary infection with Lineage 4 M. tuberculosis, mixed infection was associated with significantly increased risk of subsequent isolation of closely related organisms from a different individual (HR 1.43, 95% CI 1.05,1.94), indicative of transmission. INTERPRETATION Mixtures of transmissible strains occur in at least 5% of tuberculosis infections in England; when present in pulmonary disease, such mixtures are associated with an increased risk of tuberculosis transmission. FUNDING Public Health England; NIHR Health Protection Research Units; European Union.
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Affiliation(s)
- David Wyllie
- The National Institute for Health Research, Health Protection Research Unit (NIHR HPRU) in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, UK; PHE Field Service, Public Health England, Forvie Site, Addenbrookes' Hospital, Cambridge.
| | - Trien Do
- The National Institute for Health Research, Health Protection Research Unit (NIHR HPRU) in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, UK
| | - Richard Myers
- Infectious Disease Bioinformatics, National Infection Service, Public Health England, 61 Colindale Avenue, London NW9 5EQ, UK
| | - Vlad Nikolayevskyy
- Public Health England National Mycobacteriology Reference Service, 61 Colindale Avenue, London NW9 5EQ, UK
| | - Derrick Crook
- The National Institute for Health Research, Health Protection Research Unit (NIHR HPRU) in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, UK; National Institute for Health Research Biomedical Research Centre, Oxford, UK; Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Tim Peto
- The National Institute for Health Research, Health Protection Research Unit (NIHR HPRU) in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, UK; National Institute for Health Research Biomedical Research Centre, Oxford, UK; Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Eliza Alexander
- Public Health England National Mycobacteriology Reference Service, 61 Colindale Avenue, London NW9 5EQ, UK
| | - Esther Robinson
- Public Health England National Mycobacteriology Reference Service, 61 Colindale Avenue, London NW9 5EQ, UK
| | - A Sarah Walker
- The National Institute for Health Research, Health Protection Research Unit (NIHR HPRU) in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, UK; National Institute for Health Research Biomedical Research Centre, Oxford, UK; Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Colin Campbell
- Tuberculosis Surveillance Unit, National Infection Service, Public Health England, 61 Colindale Avenue, London NW9 5EQ, UK
| | - E Grace Smith
- Public Health England National Mycobacteriology Reference Service, 61 Colindale Avenue, London NW9 5EQ, UK
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20
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Dookie N, Khan A, Padayatchi N, Naidoo K. Application of Next Generation Sequencing for Diagnosis and Clinical Management of Drug-Resistant Tuberculosis: Updates on Recent Developments in the Field. Front Microbiol 2022; 13:775030. [PMID: 35401475 PMCID: PMC8988194 DOI: 10.3389/fmicb.2022.775030] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 02/17/2022] [Indexed: 11/30/2022] Open
Abstract
The World Health Organization’s End TB Strategy prioritizes universal access to an early diagnosis and comprehensive drug susceptibility testing (DST) for all individuals with tuberculosis (TB) as a key component of integrated, patient-centered TB care. Next generation whole genome sequencing (WGS) and its associated technology has demonstrated exceptional potential for reliable and comprehensive resistance prediction for Mycobacterium tuberculosis isolates, allowing for accurate clinical decisions. This review presents a descriptive analysis of research describing the potential of WGS to accelerate delivery of individualized care, recent advances in sputum-based WGS technology and the role of targeted sequencing for resistance detection. We provide an update on recent research describing the mechanisms of resistance to new and repurposed drugs and the dynamics of mixed infections and its potential implication on TB diagnosis and treatment. Whilst the studies reviewed here have greatly improved our understanding of recent advances in this arena, it highlights significant challenges that remain. The wide-spread introduction of new drugs in the absence of standardized DST has led to rapid emergence of drug resistance. This review highlights apparent gaps in our knowledge of the mechanisms contributing to resistance for these new drugs and challenges that limit the clinical utility of next generation sequencing techniques. It is recommended that a combination of genotypic and phenotypic techniques is warranted to monitor treatment response, curb emerging resistance and further dissemination of drug resistance.
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Affiliation(s)
- Navisha Dookie
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
- *Correspondence: Navisha Dookie,
| | - Azraa Khan
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
| | - Nesri Padayatchi
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
- South African Medical Research Council (SAMRC), CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Durban, South Africa
| | - Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
- South African Medical Research Council (SAMRC), CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Durban, South Africa
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21
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Acosta F, Martínez-Lirola M, Sola-Campoy PJ, Sicilia J, Guerra-Galán T, Maus SR, Muñoz P, Pérez-Lago L, García de Viedma D. Insights into the Complexity of a Dormant Mycobacterium tuberculosis Cluster Once Transmission Is Resumed. Microbiol Spectr 2022; 10:e0138121. [PMID: 35044196 PMCID: PMC8768656 DOI: 10.1128/spectrum.01381-21] [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: 08/25/2021] [Accepted: 12/13/2021] [Indexed: 12/03/2022] Open
Abstract
Genotyping tools help identify the complexity in Mycobacterium tuberculosis transmission clusters. We carried out a thorough analysis of the epidemiological and bacteriological complexity of a cluster in Almería, Spain. The cluster, initially associated with Moroccan migrants and with no secondary cases identified in 4 years, then reappeared in Spanish-born individuals. In one case, two Mycobacterium tuberculosis clonal variants were identified. We reanalyzed the cluster, supported by the characterization of multiple cultured isolates and respiratory specimens, whole-genome sequencing, and epidemiological case interviews. Our findings showed that the cluster, which was initially thought to have restarted activity with just a single case harboring a small degree of within-host diversity, was in fact currently growing due to coincidental reactivation of past exposures, with clonal diversity transmitted throughout the cluster. In one case, within-host diversity was amplified, probably due to prolonged diagnostic delay. IMPORTANCE The precise study of the dynamics of tuberculosis transmission in socio-epidemiologically complex scenarios may require more thorough analysis than the standard molecular epidemiology strategies. Our study illustrates the epidemiological and bacteriological complexity present in a transmission cluster in a challenging epidemiological setting with a high proportion of migrant cases. The combination of whole-genome sequencing, refined and refocused epidemiological interviews, and in-depth analysis of the bacterial composition of sputa and cultured isolates was crucial in order to correctly reinterpret the true nature of this cluster. Our global approach allowed us to reinterpret correctly the unnoticed epidemiological and bacteriological complexity involved in the Mycobacterium tuberculosis transmission event under study, which had been overlooked by the usual molecular epidemiology approaches.
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Affiliation(s)
- Fermin Acosta
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | | | - Pedro J. Sola-Campoy
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Jon Sicilia
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Teresa Guerra-Galán
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Sandra R. Maus
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Patricia Muñoz
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain
- Departamento de Medicina, Universidad Complutense, Madrid, Spain
| | - Laura Pérez-Lago
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Darío García de Viedma
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain
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22
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Ruan Z, Zou S, Wang Z, Zhang L, Chen H, Wu Y, Jia H, Draz MS, Feng Y. Toward accurate diagnosis and surveillance of bacterial infections using enhanced strain-level metagenomic next-generation sequencing of infected body fluids. Brief Bioinform 2022; 23:6519793. [PMID: 35108376 DOI: 10.1093/bib/bbac004] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 12/17/2021] [Accepted: 01/04/2022] [Indexed: 12/12/2022] Open
Abstract
Metagenomic next-generation sequencing (mNGS) enables comprehensive pathogen detection and has become increasingly popular in clinical diagnosis. The distinct pathogenic traits between strains require mNGS to achieve a strain-level resolution, but an equivocal concept of 'strain' as well as the low pathogen loads in most clinical specimens hinders such strain awareness. Here we introduce a metagenomic intra-species typing (MIST) tool (https://github.com/pandafengye/MIST), which hierarchically organizes reference genomes based on average nucleotide identity (ANI) and performs maximum likelihood estimation to infer the strain-level compositional abundance. In silico analysis using synthetic datasets showed that MIST accurately predicted the strain composition at a 99.9% average nucleotide identity (ANI) resolution with a merely 0.001× sequencing depth. When applying MIST on 359 culture-positive and 359 culture-negative real-world specimens of infected body fluids, we found the presence of multiple-strain reached considerable frequencies (30.39%-93.22%), which were otherwise underestimated by current diagnostic techniques due to their limited resolution. Several high-risk clones were identified to be prevalent across samples, including Acinetobacter baumannii sequence type (ST)208/ST195, Staphylococcus aureus ST22/ST398 and Klebsiella pneumoniae ST11/ST15, indicating potential outbreak events occurring in the clinical settings. Interestingly, contaminations caused by the engineered Escherichia coli strain K-12 and BL21 throughout the mNGS datasets were also identified by MIST instead of the statistical decontamination approach. Our study systemically characterized the infected body fluids at the strain level for the first time. Extension of mNGS testing to the strain level can greatly benefit clinical diagnosis of bacterial infections, including the identification of multi-strain infection, decontamination and infection control surveillance.
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Affiliation(s)
- Zhi Ruan
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shengmei Zou
- Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Zeyu Wang
- Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Luhan Zhang
- Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Hangfei Chen
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yuye Wu
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Huiqiong Jia
- Deparment of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Mohamed S Draz
- Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Ye Feng
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
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23
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Micheni LN, Kassaza K, Kinyi H, Ntulume I, Bazira J. Detection of Mycobacterium tuberculosis multiple strains in sputum samples from patients with pulmonary tuberculosis in south western Uganda using MIRU-VNTR. Sci Rep 2022; 12:1656. [PMID: 35102181 PMCID: PMC8803872 DOI: 10.1038/s41598-022-05591-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Accepted: 01/11/2022] [Indexed: 11/25/2022] Open
Abstract
Infections with multiple strains of Mycobacterium tuberculosis are now widely recognized as a common occurrence. Identification of patients infected with multiple strains provides both insight into the disease dynamics and the epidemiology of tuberculosis. Analysis of Mycobacterial Interspersed Repetitive Unit-Variable-Number Tandem Repeats (MIRU-VNTR) has been shown to be highly sensitive in detecting multiple M. tuberculosis strains even in sputum. The goal of this study was to identify cases of multiple M. tuberculosis strain infections among patients diagnosed with pulmonary tuberculosis in Southwestern Uganda and assessment of factors associated with multiple strain infections. DNA extracted directly from 78 sputum samples, each from an individual patient, was analyzed using the standard 24 loci MIRU-VNTR typing. Five (6.4%) of the 78 patients were infected with multiple strains of M. tuberculosis with all of them being the newly diagnosed cases while two-thirds of them were co-infected with HIV. Exact regression analysis projected that the natives were more likely to harbor multiple strains (OR; 0.981, 95% CI 0–7.926) as well as those with a high microbial load (OR; 0.390, 95% CI 0–3.8167). Despite these findings being not statistically significant due to the small sample size, this points to a critical component of disease dynamics that has clinical implications and emphasizes a need for a study using a larger cohort. It is also essential to study the potential factors associated with higher risk of exposure to newly diagnosed and HIV positive patients at the community level. In addition, our ability to detect multiple M. tuberculosis strains using the standard 24 loci MIRU-VNTR typing especially with allelic diversity in loci 2059 and 3171, which are excluded from the 15-locus MIRU-VNTR, lead us to recommend the use of this genotyping technique, especially in areas with tuberculosis endemicity similar to this study.
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Affiliation(s)
- Lisa Nkatha Micheni
- Department of Microbiology, Mbarara University of Science and Technology, Box 1410, Mbarara, Uganda. .,Department of Microbiology and Immunology, Kampala International University Western Campus, Box 71, Bushenyi, Uganda.
| | - Kennedy Kassaza
- Department of Microbiology, Mbarara University of Science and Technology, Box 1410, Mbarara, Uganda
| | - Hellen Kinyi
- Department of Biochemistry, School of Medicine, Kabale University, Box 317, Kabale, Uganda
| | - Ibrahim Ntulume
- Department of Microbiology and Immunology, Kampala International University Western Campus, Box 71, Bushenyi, Uganda
| | - Joel Bazira
- Department of Microbiology, Mbarara University of Science and Technology, Box 1410, Mbarara, Uganda.
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24
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Kritski A, Oliveira MM, Almeida IND, Ramalho D, Andrade MKDN, Carvalho M, Miranda PFC, Dalcolmo MP, Braga JU, Brígido T, Mesquita E, Dias C, Gambirasio A, Souza Filho JB, Detjen A, Phillips PPJ, Langley I, Fujiwara P, Squire SB. Clinical Impact of the Line Probe Assay and Xpert® MTB/RIF Assay in the Presumptive Diagnosis of Drug-Resistant Tuberculosis in Brazil: A Pragmatic Clinical Trial. Rev Soc Bras Med Trop 2022; 55:e0191. [PMID: 35239898 PMCID: PMC8932318 DOI: 10.1590/0037-8682-0191-2021] [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: 03/28/2021] [Accepted: 11/23/2021] [Indexed: 11/22/2022] Open
Abstract
Background: Rapid molecular methods such as the line probe assay (LPA) and Xpert® MTB/RIF assay (Xpert) have been recommended by the World Health Organization for drug-resistant tuberculosis (DR-TB) diagnosis. We conducted an interventional trial in DR-TB reference centers in Brazil to evaluate the impact of the use of LPA and Xpert. Methods: Patients with DR-TB were eligible if their drug susceptibility testing results were available to the treating physician at the time of consultation. The standard reference MGITTM 960 was compared with Xpert (arm 1) and LPA (arm 2). Effectiveness was considered as the start of the appropriate TB regimen that matched drug susceptibility testing (DST) and the proportions of culture conversion and favorable treatment outcomes after 6 months. Results: A higher rate of empirical treatment was observed with MGIT alone than with the Xpert assay (97.0% vs. 45.0%) and LPA (98.2% vs. 67.5%). Patients started appropriate TB treatment more quickly than those in the MGIT group (median 15.0 vs. 40.5 days; p<0.01) in arm 1. Compared to the MGIT group, culture conversion after 6 months was higher for Xpert in arm 1 (90.9% vs. 79.3%, p=0.39) and LPA in arm 2 (80.0% vs. 83.0%, p=0.81). Conclusions: In the Xpert arm, there was a significant reduction in days to the start of appropriate anti-TB treatment and a trend towards greater culture conversion in the sixth month.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Claudia Dias
- Secretaria de Estado de Saúde do Rio Grande do Sul, Brasil
| | | | | | | | | | - Ivor Langley
- Liverpool School of Tropical Medicine, United Kingdom
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25
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Thao Le TM, Madec S, Gjini E. Disentangling how multiple traits drive 2 strain frequencies in SIS dynamics with coinfection. J Theor Biol 2022; 538:111041. [DOI: 10.1016/j.jtbi.2022.111041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 12/01/2021] [Accepted: 01/18/2022] [Indexed: 10/19/2022]
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Asgharzadeh M, Taghinejad Z, Mahdavipoor B, Asgharzadeh V, Kafil HS, Rashedi J. Mixed tuberculosis infections in Northwest of Iran. LE INFEZIONI IN MEDICINA 2021; 29:583-588. [PMID: 35146368 PMCID: PMC8805470 DOI: 10.53854/liim-2904-12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 10/17/2021] [Indexed: 06/14/2023]
Abstract
Primary Mycobacterium tuberculosis (MTB) infection doesn't provide protection against secondary infection and patients can suffer from multiple strains of M. tuberculosis simultaneously. The aim of this study was to use molecular genotyping to identify cases of mixed infection in Northwest of Iran. One hundred and twenty-one positive culture isolates of M. tuberculosis were prepared from patients consecutively in Northwest of Iran from March 2017 to March 2018 and then microevolution and mix infection were assessed using the mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR) method. MIRU-VNTR analysis revealed that nine samples (7.3%) had double alleles in at least one locus, as observed by five cases of microevolution, and four cases (3.3%) of mixed infection. According to this study, mixed infection in Northwest of Iran has significantly decreased compared to 13 years ago (7.1% decreased to 3.3%), and in order to eradicate tuberculosis it is necessary to identify all cases of mixed infection, at least in recurrent cases, in the future.
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Affiliation(s)
- Mohammad Asgharzadeh
- Biotechnology Research Center and Faculty of Paramedicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Zahra Taghinejad
- Hematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Behroz Mahdavipoor
- Department of Laboratory Sciences, Faculty of Paramedicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Vahid Asgharzadeh
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Hossein Samadi Kafil
- Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Jalil Rashedi
- Tuberculosis and Lung Disease Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
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27
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Binmaeil H, Hanafiah A, Mohamed Rose I, Raja Ali RA. Development and Validation of Multiplex Quantitative PCR Assay for Detection of Helicobacter pylori and Mutations Conferring Resistance to Clarithromycin and Levofloxacin in Gastric Biopsy. Infect Drug Resist 2021; 14:4129-4145. [PMID: 34675558 PMCID: PMC8502538 DOI: 10.2147/idr.s325056] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 09/08/2021] [Indexed: 12/12/2022] Open
Abstract
Aims and Objectives More than half of the world's population is infected with Helicobacter pylori, which can cause chronic gastritis. WHO has regarded clarithromycin-resistant H. pylori as a high priority pathogen. Hence, accurate diagnosis and detection of clarithromycin- and levofloxacin-resistant H. pylori strains is essential for proper management of infection. The objective of this study was to develop and optimize multiplex quantitative PCR assay for detection of mutations associated with clarithromycin and levofloxacin resistance in H. pylori directly from the gastric biopsies. Materials and Methods Specific primers and probes were designed to amplify ureA and mutations in 23S rRNA and gyrA genes. Singleplex and triplex qPCR assays were optimized and the assay's sensitivities and specificities were determined. The optimized multiplex qPCR assay was performed on 571 gastric biopsies. Results In this study, 14.7% (84/571) of the gastric biopsies were positive for H. pylori by conventional methods and 23.8% (136/571) were positive by the ureA-qPCR with 96.4% sensitivity and 88.5% specificity, while the +LR and -LR were 8.72 and 0.04, respectively. The ureA-positive samples (n=136) were subjected to multiplex qPCR which detected A2142G and A2143G mutations in the 23S rRNA gene (20.6%, 28/136) conferring clarithromycin resistance and gyrA mutations N87K, N87I, D91N, and D91Y (11.8%, 16/136) leading to levofloxacin resistance. The sensitivity and specificity of qPCR of 23S rRNA gene were 100% and 98.7%, respectively, while 100% and 99.8% for qPCR of gyrA, respectively. Conclusion The effectiveness of this qPCR is that it is sensitive in detecting low bacterial load and will help in timely detection of clarithromycin- and levofloxacin-resistant strains, especially in case of mixed infections. Since it is culture independent, it can inform clinicians about antibiotics to be included in the first-line therapy, thereby improving the management of H. pylori infection at a much greater pace.
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Affiliation(s)
- Hasyanee Binmaeil
- Department of Medical Microbiology and Immunology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, 56000, Malaysia
| | - Alfizah Hanafiah
- Department of Medical Microbiology and Immunology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, 56000, Malaysia.,GUT Research Group, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, 56000, Malaysia
| | - Isa Mohamed Rose
- Department of Pathology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, 56000, Malaysia
| | - Raja Affendi Raja Ali
- GUT Research Group, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, 56000, Malaysia.,Department of Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, 56000, Malaysia
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28
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Mortality from drug-resistant tuberculosis in high-burden countries comparing routine drug susceptibility testing with whole-genome sequencing: a multicentre cohort study. THE LANCET MICROBE 2021; 2:e320-e330. [PMID: 35252901 PMCID: PMC8896764 DOI: 10.1016/s2666-5247(21)00044-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Background Drug resistance threatens global tuberculosis control. We aimed to examine mortality in patients with tuberculosis from high-burden countries, according to concordance or discordance of results from drug susceptibility testing done locally and whole-genome sequencing (WGS). Methods In this multicentre cohort study, we collected pulmonary Mycobacterium tuberculosis isolates and clinical data from individuals with tuberculosis from antiretroviral therapy programmes and tuberculosis clinics in Côte d’Ivoire, Democratic Republic of the Congo, Kenya, Nigeria, Peru, South Africa, and Thailand, stratified by HIV status and drug resistance. Sites tested drug susceptibility using routinely available methods. WGS was done on Illumina HiSeq 2500 in the USA and Switzerland, and TBprofiler was used to analyse the genomes. We included individuals aged 16 years or older with pulmonary tuberculosis (bacteriologically confirmed or clinically diagnosed). We analysed mortality in multivariable logistic regression models adjusted for sex, age, HIV status, history of tuberculosis, and sputum positivity. Findings Between Sept 1, 2014, and July 4, 2016, of 634 patients included in our previous analysis, we included 582 patients with tuberculosis (median age 33 years [IQR 27–43], 225 [39%] women, and 247 [42%] HIV-positive). Based on WGS, 339 (58%) isolates were pan-susceptible, 35 (6%) monoresistant, 146 (25%) multidrug-resistant, and 24 (4%) pre-extensively drug-resistant (pre-XDR) or XDR. The analysis of mortality was based on 530 patients; 63 (12%) died and 77 (15%) patients received inappropriate treatment. Mortality ranged from 6% (18 of 310) in patients with pan-susceptible tuberculosis to 39% (nine of 23) in patients with pre-XDR or XDR tuberculosis. The adjusted odds ratio for mortality was 4·92 (95% CI 2·47–9·78) among undertreated patients, compared with appropriately treated patients. Interpretation In seven countries with a high burden of tuberculosis, we observed discrepancies between drug resistance patterns obtained locally and WGS. The underdiagnosis of drug resistance resulted in inappropriate treatment and higher mortality. WGS can provide accurate and detailed drug resistance information required to improve the outcomes of drug-resistant tuberculosis in high-burden settings. Our results support WHO’s call for point-of-care tests based on WGS. Funding National Institutes of Allergy and Infectious Diseases, Swiss National Science Foundation, and Swiss National Center for Mycobacteria.
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29
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Gabbassov E, Moreno-Molina M, Comas I, Libbrecht M, Chindelevitch L. SplitStrains, a tool to identify and separate mixed Mycobacterium tuberculosis infections from WGS data. Microb Genom 2021; 7. [PMID: 34165419 PMCID: PMC8461467 DOI: 10.1099/mgen.0.000607] [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] [Indexed: 12/03/2022] Open
Abstract
The occurrence of multiple strains of a bacterial pathogen such as M. tuberculosis or C. difficile within a single human host, referred to as a mixed infection, has important implications for both healthcare and public health. However, methods for detecting it, and especially determining the proportion and identities of the underlying strains, from WGS (whole-genome sequencing) data, have been limited. In this paper we introduce SplitStrains, a novel method for addressing these challenges. Grounded in a rigorous statistical model, SplitStrains not only demonstrates superior performance in proportion estimation to other existing methods on both simulated as well as real M. tuberculosis data, but also successfully determines the identity of the underlying strains. We conclude that SplitStrains is a powerful addition to the existing toolkit of analytical methods for data coming from bacterial pathogens and holds the promise of enabling previously inaccessible conclusions to be drawn in the realm of public health microbiology.
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Affiliation(s)
- Einar Gabbassov
- School of Computing Science, Simon Fraser University, Burnaby, BC, Canada
- Department of Mathematics, Simon Fraser University, Burnaby, BC, Canada
- *Correspondence: Einar Gabbassov,
| | | | - Iñaki Comas
- Instituto de Biomedicina de Valencia, Valencia, Spain
| | - Maxwell Libbrecht
- School of Computing Science, Simon Fraser University, Burnaby, BC, Canada
| | - Leonid Chindelevitch
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College, London, UK
- *Correspondence: Leonid Chindelevitch,
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30
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Baik Y, Modongo C, Moonan PK, Click ES, Tobias JL, Boyd R, Finlay A, Oeltmann JE, Shin SS, Zetola NM. Possible Transmission Mechanisms of Mixed Mycobacterium tuberculosis Infection in High HIV Prevalence Country, Botswana. Emerg Infect Dis 2021; 26:953-960. [PMID: 32310078 PMCID: PMC7181944 DOI: 10.3201/eid2605.191638] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Tuberculosis caused by concurrent infection with multiple Mycobacteriumtuberculosis strains (i.e., mixed infection) challenges clinical and epidemiologic paradigms. We explored possible transmission mechanisms of mixed infection in a population-based, molecular epidemiology study in Botswana during 2012–2016. We defined mixed infection as multiple repeats of alleles at >2 loci within a discrete mycobacterial interspersed repetitive unit–variable-number tandem-repeat (MIRU-VNTR) result. We compared mixed infection MIRU-VNTR results with all study MIRU-VNTR results by considering all permutations at each multiple allele locus; matched MIRU-VNTR results were considered evidence of recently acquired strains and nonmatched to any other results were considered evidence of remotely acquired strains. Among 2,051 patients, 34 (1.7%) had mixed infection, of which 23 (68%) had recently and remotely acquired strains. This finding might support the mixed infection mechanism of recent transmission and simultaneous remote reactivation. Further exploration is needed to determine proportions of transmission mechanisms in settings where mixed infections are prevalent.
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31
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Rodríguez-Grande C, Hurtado JC, Rodríguez-Maus S, Casas I, Castillo P, Navarro M, Rakislova N, García-Basteiro A, Carrilho C, Fernandes F, Lovane L, Jordao D, Ismail MR, Lorenzoni C, Cossa A, Mandomando I, Bassat Q, Menéndez C, Ordi J, Muñoz P, Pérez-Lago L, García de Viedma D, Martínez MJ. High within-host diversity found from direct genotyping on post-mortem tuberculosis specimens in a high-burden setting. Clin Microbiol Infect 2021; 27:1518.e5-1518.e9. [PMID: 34119641 DOI: 10.1016/j.cmi.2021.05.038] [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: 03/16/2021] [Revised: 05/20/2021] [Accepted: 05/25/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVES To characterize the clonal complexity in Mycobacterium tuberculosis (MTB) infections considering factors that help maximize the detection of coexisting strains/variants. METHODS Genotypic analysis by Mycobacterial Interspersed Repetitive-Unit-Variable-Number Tandem-Repeats (MIRU-VNTR) was performed directly on 70 biopsy specimens from two or more different tissues involving 28 tuberculosis cases diagnosed post-mortem in Mozambique, a country with a high tuberculosis burden. RESULTS Genotypic data from isolates collected from two or more tissues were obtained for 23 of the 28 cases (82.1%), allowing the analysis of within-patient diversity. MIRU-VNTR analysis revealed clonal diversity in ten cases (35.7%). Five cases showed allelic differences in three or more loci, suggesting mixed infection with two different strains. In half of the cases showing within-host diversity, one of the specimens associated with clonal heterogeneity was brain tissue. CONCLUSIONS Direct MTB genotyping from post-mortem tissue samples revealed a frequent within-host Mycobacterium tuberculosis diversity, including mixed and polyclonal infections. Most of this diversity would have been overlooked if only standard analysis of respiratory specimens had been performed.
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Affiliation(s)
- Cristina Rodríguez-Grande
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
| | - Juan Carlos Hurtado
- Barcelona Institute for Global Health (ISGlobal), Hospital Clinic de Barcelona, Universitat de Barcelona, Barcelona, Spain; Department of Microbiology, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Sandra Rodríguez-Maus
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
| | - Isaac Casas
- Barcelona Institute for Global Health (ISGlobal), Hospital Clinic de Barcelona, Universitat de Barcelona, Barcelona, Spain; Department of Microbiology, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Paola Castillo
- Barcelona Institute for Global Health (ISGlobal), Hospital Clinic de Barcelona, Universitat de Barcelona, Barcelona, Spain; Department of Pathology, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Mireia Navarro
- Barcelona Institute for Global Health (ISGlobal), Hospital Clinic de Barcelona, Universitat de Barcelona, Barcelona, Spain; Department of Microbiology, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Natalia Rakislova
- Barcelona Institute for Global Health (ISGlobal), Hospital Clinic de Barcelona, Universitat de Barcelona, Barcelona, Spain; Department of Pathology, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Alberto García-Basteiro
- Barcelona Institute for Global Health (ISGlobal), Hospital Clinic de Barcelona, Universitat de Barcelona, Barcelona, Spain; Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique
| | - Carla Carrilho
- Department of Pathology, Maputo Central Hospital, Maputo, Mozambique; Department of Pathology, Faculty of Medicine, Eduardo Mondlane University, Maputo, Mozambique
| | - Fabiola Fernandes
- Department of Pathology, Maputo Central Hospital, Maputo, Mozambique; Department of Pathology, Faculty of Medicine, Eduardo Mondlane University, Maputo, Mozambique
| | - Lucilia Lovane
- Department of Pathology, Maputo Central Hospital, Maputo, Mozambique; Department of Pathology, Faculty of Medicine, Eduardo Mondlane University, Maputo, Mozambique
| | - Dercio Jordao
- Department of Pathology, Maputo Central Hospital, Maputo, Mozambique; Department of Pathology, Faculty of Medicine, Eduardo Mondlane University, Maputo, Mozambique
| | - Mamudo R Ismail
- Department of Pathology, Maputo Central Hospital, Maputo, Mozambique; Department of Pathology, Faculty of Medicine, Eduardo Mondlane University, Maputo, Mozambique
| | - Cesaltina Lorenzoni
- Department of Pathology, Maputo Central Hospital, Maputo, Mozambique; Department of Pathology, Faculty of Medicine, Eduardo Mondlane University, Maputo, Mozambique
| | - Anélsio Cossa
- Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique
| | - Inácio Mandomando
- Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique
| | - Quique Bassat
- Barcelona Institute for Global Health (ISGlobal), Hospital Clinic de Barcelona, Universitat de Barcelona, Barcelona, Spain; Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique; ICREA, Catalan Institution for Research and Advanced Studies, Pg. Lluís Companys 23, 08010 Barcelona, Spain; Paediatrics Department, Hospital Sant Joan de Déu (University of Barcelona), Barcelona, Spain; Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Spain
| | - Clara Menéndez
- Barcelona Institute for Global Health (ISGlobal), Hospital Clinic de Barcelona, Universitat de Barcelona, Barcelona, Spain; Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique; Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Spain
| | - Jaume Ordi
- Barcelona Institute for Global Health (ISGlobal), Hospital Clinic de Barcelona, Universitat de Barcelona, Barcelona, Spain; Department of Pathology, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Patricia Muñoz
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain; CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain; Departamento de Medicina, Universidad Complutense, Madrid, Spain
| | - Laura Pérez-Lago
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
| | - Darío García de Viedma
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain; CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain.
| | - Miguel J Martínez
- Barcelona Institute for Global Health (ISGlobal), Hospital Clinic de Barcelona, Universitat de Barcelona, Barcelona, Spain; Department of Microbiology, Hospital Clinic de Barcelona, Barcelona, Spain.
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Sheikh BA, Bhat BA, Mehraj U, Mir W, Hamadani S, Mir MA. Development of New Therapeutics to Meet the Current Challenge of Drug Resistant Tuberculosis. Curr Pharm Biotechnol 2021; 22:480-500. [PMID: 32600226 DOI: 10.2174/1389201021666200628021702] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 05/01/2020] [Accepted: 05/13/2020] [Indexed: 11/22/2022]
Abstract
Tuberculosis (TB) is a prominent infective disease and a major reason of mortality/ morbidity globally. Mycobacterium tuberculosis causes a long-lasting latent infection in a significant proportion of human population. The increasing burden of tuberculosis is mainly caused due to multi drug-resistance. The failure of conventional treatment has been observed in large number of cases. Drugs that are used to treat extensively drug-resistant tuberculosis are expensive, have limited efficacy, and have more side effects for a longer duration of time and are often associated with poor prognosis. To regulate the emergence of multidrug resistant tuberculosis, extensively drug-resistant tuberculosis and totally drug resistant tuberculosis, efforts are being made to understand the genetic/molecular basis of target drug delivery and mechanisms of drug resistance. Understanding the molecular approaches and pathology of Mycobacterium tuberculosis through whole genome sequencing may further help in the improvement of new therapeutics to meet the current challenge of global health. Understanding cellular mechanisms that trigger resistance to Mycobacterium tuberculosis infection may expose immune associates of protection, which could be an important way for vaccine development, diagnostics, and novel host-directed therapeutic strategies. The recent development of new drugs and combinational therapies for drug-resistant tuberculosis through major collaboration between industry, donors, and academia gives an improved hope to overcome the challenges in tuberculosis treatment. In this review article, an attempt was made to highlight the new developments of drug resistance to the conventional drugs and the recent progress in the development of new therapeutics for the treatment of drugresistant and non-resistant cases.
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Affiliation(s)
- Bashir A Sheikh
- Department of Bioresources, School of Biological Sciences, University of Kashmir, Srinagar-190006, India
| | - Basharat A Bhat
- Department of Bioresources, School of Biological Sciences, University of Kashmir, Srinagar-190006, India
| | - Umar Mehraj
- Department of Bioresources, School of Biological Sciences, University of Kashmir, Srinagar-190006, India
| | - Wajahat Mir
- Department of Bioresources, School of Biological Sciences, University of Kashmir, Srinagar-190006, India
| | - Suhail Hamadani
- Department of Bioresources, School of Biological Sciences, University of Kashmir, Srinagar-190006, India
| | - Manzoor A Mir
- Department of Bioresources, School of Biological Sciences, University of Kashmir, Srinagar-190006, India
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Witte C, Fowler JH, Pfeiffer W, Hungerford LL, Braun J, Burchell J, Papendick R, Rideout BA. Social network analysis and whole-genome sequencing to evaluate disease transmission in a large, dynamic population: A study of avian mycobacteriosis in zoo birds. PLoS One 2021; 16:e0252152. [PMID: 34106953 PMCID: PMC8189513 DOI: 10.1371/journal.pone.0252152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Accepted: 05/11/2021] [Indexed: 11/18/2022] Open
Abstract
This study combined a social network analysis and whole-genome sequencing (WGS) to test for general patterns of contagious spread of a mycobacterial infection for which pathways of disease acquisition are not well understood. Our population included 275 cases diagnosed with avian mycobacteriosis that were nested in a source population of 16,430 birds at San Diego Zoo Wildlife Alliance facilities from 1992 through mid-2014. Mycobacteria species were determined using conventional methods and whole genome sequencing (WGS). Mycobacterium avium avium (MAA) and Mycobacterium genavense were the most common species of mycobacteria identified and were present in different proportions across bird taxa. A social network for the birds was constructed from the source population to identify directly and indirectly connected cases during time periods relevant to disease transmission. Associations between network connectivity and genetic similarity of mycobacteria (as determined by clusters of genotypes separated by few single nucleotide polymorphisms, or SNPs) were then evaluated in observed and randomly generated network permutations. Findings showed that some genotypes clustered along pathways of bird connectivity, while others were dispersed throughout the network. The proportion of directly connected birds having a similar mycobacterial genotype was 0.36 and significant (p<0.05). This proportion was higher (0.58) and significant for MAA but not for M. genavense. Evaluations of SNP distributions also showed genotypes of MAA were more related in connected birds than expected by chance; however, no significant patterns of genetic relatedness were identified for M. genavense, although data were sparse. Integrating the WGS analysis of mycobacteria with a social network analysis of their host birds revealed significant genetic clustering along pathways of connectivity, namely for MAA. These findings are consistent with a contagious process occurring in some, but not all, case clusters.
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Affiliation(s)
- Carmel Witte
- Disease Investigations, San Diego Zoo Wildlife Alliance, San Diego, California, United States of America
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, California, United States of America
- Graduate School of Public Health, San Diego State University, San Diego, California, United States of America
| | - James H. Fowler
- Department of Political Science, University of California, San Diego, La Jolla, California, United States of America
| | - Wayne Pfeiffer
- San Diego Supercomputer Center, University of California, San Diego, La Jolla, California, United States of America
| | - Laura L. Hungerford
- Department of Population Health Sciences, Virginia-Maryland College of Veterinary Medicine, Blacksburg, Virginia, United States of America
| | - Josephine Braun
- Disease Investigations, San Diego Zoo Wildlife Alliance, San Diego, California, United States of America
| | - Jennifer Burchell
- Disease Investigations, San Diego Zoo Wildlife Alliance, San Diego, California, United States of America
| | - Rebecca Papendick
- Disease Investigations, San Diego Zoo Wildlife Alliance, San Diego, California, United States of America
| | - Bruce A. Rideout
- Disease Investigations, San Diego Zoo Wildlife Alliance, San Diego, California, United States of America
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Moreno-Molina M, Shubladze N, Khurtsilava I, Avaliani Z, Bablishvili N, Torres-Puente M, Villamayor L, Gabrielian A, Rosenthal A, Vilaplana C, Gagneux S, Kempker RR, Vashakidze S, Comas I. Genomic analyses of Mycobacterium tuberculosis from human lung resections reveal a high frequency of polyclonal infections. Nat Commun 2021; 12:2716. [PMID: 33976135 PMCID: PMC8113332 DOI: 10.1038/s41467-021-22705-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 03/22/2021] [Indexed: 01/15/2023] Open
Abstract
Polyclonal infections occur when at least two unrelated strains of the same pathogen are detected in an individual. This has been linked to worse clinical outcomes in tuberculosis, as undetected strains with different antibiotic resistance profiles can lead to treatment failure. Here, we examine the amount of polyclonal infections in sputum and surgical resections from patients with tuberculosis in the country of Georgia. For this purpose, we sequence and analyse the genomes of Mycobacterium tuberculosis isolated from the samples, acquired through an observational clinical study (NCT02715271). Access to the lung enhanced the detection of multiple strains (40% of surgery cases) as opposed to just using a sputum sample (0-5% in the general population). We show that polyclonal infections often involve genetically distant strains and can be associated with reversion of the patient's drug susceptibility profile over time. In addition, we find different patterns of genetic diversity within lesions and across patients, including mutational signatures known to be associated with oxidative damage; this suggests that reactive oxygen species may be acting as a selective pressure in the granuloma environment. Our results support the idea that the magnitude of polyclonal infections in high-burden tuberculosis settings is underestimated when only testing sputum samples.
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MESH Headings
- Antitubercular Agents/therapeutic use
- Biopsy
- Clone Cells
- Cohort Studies
- Drug Resistance, Multiple, Bacterial/genetics
- Genetic Variation
- Genome, Bacterial
- Georgia (Republic)
- Granuloma/drug therapy
- Granuloma/microbiology
- Granuloma/pathology
- Granuloma/surgery
- Humans
- Lung/microbiology
- Lung/pathology
- Lung/surgery
- Mycobacterium tuberculosis/classification
- Mycobacterium tuberculosis/drug effects
- Mycobacterium tuberculosis/genetics
- Mycobacterium tuberculosis/pathogenicity
- Reactive Oxygen Species/metabolism
- Sputum/microbiology
- Tuberculosis, Multidrug-Resistant/drug therapy
- Tuberculosis, Multidrug-Resistant/microbiology
- Tuberculosis, Multidrug-Resistant/pathology
- Tuberculosis, Multidrug-Resistant/surgery
- Tuberculosis, Pulmonary/drug therapy
- Tuberculosis, Pulmonary/microbiology
- Tuberculosis, Pulmonary/pathology
- Tuberculosis, Pulmonary/surgery
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Affiliation(s)
| | - Natalia Shubladze
- National Center for Tuberculosis and Lung Diseases of Georgia, Tbilisi, Georgia
| | - Iza Khurtsilava
- National Center for Tuberculosis and Lung Diseases of Georgia, Tbilisi, Georgia
| | - Zaza Avaliani
- National Center for Tuberculosis and Lung Diseases of Georgia, Tbilisi, Georgia
| | - Nino Bablishvili
- National Center for Tuberculosis and Lung Diseases of Georgia, Tbilisi, Georgia
| | | | | | - Andrei Gabrielian
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, U.S. Department of Health and Human Services, Maryland, USA
| | - Alex Rosenthal
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, U.S. Department of Health and Human Services, Maryland, USA
| | - Cristina Vilaplana
- Fundació Institut Germans Trias i Pujol (IGTP), Barcelona, Spain
- Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
- CIBER of Respiratory Diseases, Madrid, Spain
| | - Sebastien Gagneux
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Russell R Kempker
- Department of Medicine, Division of Infectious Diseases, Emory University School of Medicine, Atlanta, USA
| | - Sergo Vashakidze
- National Center for Tuberculosis and Lung Diseases of Georgia, Tbilisi, Georgia
| | - Iñaki Comas
- Instituto de Biomedicina de Valencia IBV-CSIC, Valencia, Spain.
- CIBER in Epidemiology and Public Health, Madrid, Spain.
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Emergence of additional drug resistance during treatment of multidrug-resistant tuberculosis in China: a prospective cohort study. Clin Microbiol Infect 2021; 27:1805-1813. [PMID: 33895338 DOI: 10.1016/j.cmi.2021.04.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 03/30/2021] [Accepted: 04/06/2021] [Indexed: 12/26/2022]
Abstract
OBJECTIVES Little is known about how additional second-line drug resistance emerges during multidrug-resistant tuberculosis (MDR-TB) treatment. The present study aimed to investigate the influence of microevolution, exogenous reinfection and mixed infection on second-line drug resistance during the recommended 2-year MDR-TB treatment. METHODS Individuals with MDR-TB were enrolled between 2013 and 2016 in a multicentre prospective observational cohort study and were followed up for 2 years until treatment completion. Whole-genome sequencing (WGS) was applied for serial Mycobacterium tuberculosis isolates from study participants throughout the treatment, to study the role of microevolution, exogenous reinfection and mixed infection in the development of second-line drug resistance. RESULTS Of the 286 enrolled patients with MDR-TB, 63 (22.0%) M. tuberculosis isolates developed additional drug resistance during the MDR-TB treatment, including 5 that fulfilled the criteria of extensively drug-resistant TB. By comparing WGS data of serial isolates retrieved from the patients throughout treatment, 41 (65.1%) of the cases of additional second-line drug resistance were the result of exogenous reinfection, 18 (28.6%) were caused by acquired drug resistance, i.e. microevolution, while the remaining 4 (6.3%) were caused by mixed infections with drug-resistant and drug-susceptible strains. In multivariate analysis, previous TB treatment (adjusted hazard ratio (aHR) 2.51, 95% CI 1.51-4.18), extensive disease on chest X-ray (aHR 3.39, 95% CI 2.03-5.66) and type 2 diabetes mellitus (aHR 4.00, 95% CI 2.22-7.21) were independent risk factors associated with the development of additional second-line drug resistance. CONCLUSIONS A large proportion of additional second-line drug resistance emerging during MDR-TB treatment was attributed to exogenous reinfection, indicating the urgency of infection control in health facilities as well as the need for repeated drug susceptibility testing throughout MDR-TB treatment.
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Li TL, Chan TH, Wang CH, Jou R, Yu MC, Putri DU, Lee CH, Lin YH. Acquired Resistance to Isoniazid During Isoniazid Monotherapy in a Subject with Latent Infection Following Household Rifampicin-Resistant Tuberculosis Contact: A Case Report. Infect Drug Resist 2021; 14:1505-1509. [PMID: 33907428 PMCID: PMC8068479 DOI: 10.2147/idr.s304799] [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: 02/05/2021] [Accepted: 03/21/2021] [Indexed: 11/23/2022] Open
Abstract
Appropriate treatment is the key element in eliminating tuberculosis (TB), and requires prompt diagnosis. We presented a case of a household contact of rifampicin-resistant TB revealing reactive IFN-gamma release assay with unsuspicious clinical and radiologic examinations. She was diagnosed with latent tuberculosis infection (LTBI) and treated with isoniazid monotherapy. On the ninth month, she developed a progressive cough and was found to harbor active TB disease with added resistance to isoniazid. An individualized anti-TB regimen consisting of moxifloxacin, kanamycin, prothionamide, ethambutol, and pyrazinamide was prescribed for 20 months, leading to sputum culture conversion and improvement of the reported symptom. No recurrence was observed on one-year follow-up. Assuming high compliance to therapy, we propose that the patient may have been underdiagnosed and received sub-optimal treatment leading to acquired-drug resistance. Conventional diagnosis methods based on immunological assay and radiographical findings may be insufficient to distinguish the incipient and subclinical states of TB from LTBI.
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Affiliation(s)
- Tsung-Lun Li
- Department of Internal Medicine, Wanfang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Tai-Hua Chan
- Taiwan Centers for Disease Control, Taipei, Taiwan
| | - Cheng-Hui Wang
- Pulmonary Research Center, Wanfang Hospital, Taipei Medical University, Taipei, Taiwan.,Department of Laboratory Medicine, Wanfang Hospital, Taipei Medical University, Taipei, Taiwan.,School of Medical Laboratory Science and Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
| | - Ruwen Jou
- Taiwan Centers for Disease Control, Taipei, Taiwan.,Institute of Microbiology and Immunology, National Yang-Ming Chiao Tung University, Taipei, Taiwan
| | - Ming-Chih Yu
- Department of Internal Medicine, Wanfang Hospital, Taipei Medical University, Taipei, Taiwan.,Pulmonary Research Center, Wanfang Hospital, Taipei Medical University, Taipei, Taiwan.,Schools of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Denise Utami Putri
- Pulmonary Research Center, Wanfang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Chih-Hsin Lee
- Department of Internal Medicine, Wanfang Hospital, Taipei Medical University, Taipei, Taiwan.,Pulmonary Research Center, Wanfang Hospital, Taipei Medical University, Taipei, Taiwan.,Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Yi-Hsien Lin
- Pulmonary Research Center, Wanfang Hospital, Taipei Medical University, Taipei, Taiwan
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37
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Zhu J, Bao Z, Xie Y, Werngren J, Hu Y, Davies Forsman L, Bruchfeld J, Hoffner S. Additional drug resistance for Mycobacterium tuberculosis during turnaround time for drug-susceptibility testing in China: A multicenter observational cohort study. Int J Infect Dis 2021; 108:81-88. [PMID: 33862209 DOI: 10.1016/j.ijid.2021.04.027] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 04/07/2021] [Accepted: 04/08/2021] [Indexed: 10/21/2022] Open
Abstract
BACKGROUND Although phenotypic drug susceptibility testing (DST) of Mycobacterium tuberculosis (Mtb) takes up to 6-8 weeks, little is known about how drug susceptibility is affected during this period. METHODS We performed a prospective cohort study to investigate the development of drug resistance (DR) during turnaround time (TAT), including 359 pulmonary tuberculosis (PTB) patients with a baseline DST result of an Mtb isolate collected at TB diagnosis and a follow-up DST result of an Mtb isolate collected when baseline DST result was available between 2013 and 2018. Whole-genome sequencing (WGS) was used to differentiate between acquired drug resistance, exogenous reinfection, and mixed infection. RESULTS Among the studied patients, during TAT for DST, 116 (32.3%) developed DR to four first-line drugs (rifampicin, isoniazid, pyrazinamide, ethambutol). Among 116 pairs of isolates included for WGS, 21 pairs were classified as acquired drug resistance with single nucleotide polymorphisms (SNPs) differences less than 12. Four pairs with an intermediate SNPs differences displayed minor differences in related genotypes and were assessed as mixed infection. The remaining 91 pairs had high SNPs differences consistent with exogenous reinfection. CONCLUSIONS The exogenous reinfection of drug-resistant strains played a vital role in the development of DR of Mtb isolates during TAT for DST, highlighting the need for both rapid DST methods and improved infection control.
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Affiliation(s)
- Jiahui Zhu
- School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Ziwei Bao
- The Fifth People's Hospital of Suzhou, Infectious Disease Hospital Affiliated to Soochow University, Suzhou, China
| | - Yan Xie
- Department Tuberculosis Control, Zigong Center for Disease Control and Prevention, Zigong, China
| | - Jim Werngren
- Department of Microbiology, The Public Health Agency of Sweden, Stockholm, Sweden
| | - Yi Hu
- School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China.
| | - Lina Davies Forsman
- Department of Infectious Disease, Karolinska University Hospital, Stockholm, Sweden; Department of Medicine, Division of Infectious Diseases, Karolinska Institutet Solna, Sweden
| | - Judith Bruchfeld
- Department of Infectious Disease, Karolinska University Hospital, Stockholm, Sweden; Department of Medicine, Division of Infectious Diseases, Karolinska Institutet Solna, Sweden
| | - Sven Hoffner
- Department of Global Public Health, Karolinska Institute, Stockholm, Sweden
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Asare-Baah M, Séraphin MN, Salmon LAT, Lauzardo M. Effect of mixed strain infections on clinical and epidemiological features of tuberculosis in Florida. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2021; 87:104659. [PMID: 33276149 PMCID: PMC7855629 DOI: 10.1016/j.meegid.2020.104659] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 11/18/2020] [Accepted: 11/29/2020] [Indexed: 10/22/2022]
Abstract
Mixed infections with genetically distinct Mycobacterium tuberculosis (MTB) strains within a single host have been documented in different settings; however, this phenomenon is rarely considered in the management and care of new and relapse tuberculosis (T.B.) cases. This study aims to establish the epidemiological and clinical features of mixed infections among culture-confirmed T.B. patients enrolled in tuberculosis care at the Florida Department of Health (FDOH) and measure its association with T.B. mortality. We analyzed de-identified surveillance data of T.B. cases enrolled in T.B. care from April 2008 to January 2018. Mixed MTB infection was determined by the presence of more than one Copy Number Variant (CNV) in at least one locus, based on the genotype profile pattern of at least one isolate using 24-locus Mycobacterial Interspersed Repetitive Unit-Variable Number Tandem Repeat (MIRU-VNTR). The prevalence of mixed MTB infections among the 4944 culture-confirmed TB cases included in this analysis was 2.6% (129). Increased odds of mixed infections were observed among middle-aged patients, 45-64 years (AOR = 2.38; 95% CI: 0.99, 5.69; p = 0.0513), older adults 65 years and above (AOR = 3.95; 95% CI: 1.63, 9.58; p = 0.0023) and patients with diabetes (OR = 1.77; 95% CI: 1.12, 2.80; p = 0.0150). There was no significant association between mixed infections and death. Our study provides insight into the epidemiological and clinical characteristics of patients with mixed MTB infections, which is essential in the management of T.B. patients.
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Affiliation(s)
- Michael Asare-Baah
- Department of Epidemiology, University of Florida, College of Public Health and Health Professions, College of Medicine, 2004 Mowry Road, P.O. Box 100231, Gainesville, FL 32610, United States; Emerging Pathogens Institute, University of Florida, 2055 Mowry Road, P.O. Box 100009, Gainesville, FL 32610, United States.
| | - Marie Nancy Séraphin
- Emerging Pathogens Institute, University of Florida, 2055 Mowry Road, P.O. Box 100009, Gainesville, FL 32610, United States; Division of Infectious Diseases and Global Medicine, University of Florida, College of Medicine, 2055 Mowry Road, P.O. Box 103600, Gainesville, FL 32610, United States
| | - LaTweika A T Salmon
- Florida Department of Health, Bureau of Tuberculosis Control, 4052 Bald Cypress Way, Bin A-20, Tallahassee, FL 32399, United States
| | - Michael Lauzardo
- Emerging Pathogens Institute, University of Florida, 2055 Mowry Road, P.O. Box 100009, Gainesville, FL 32610, United States; Division of Infectious Diseases and Global Medicine, University of Florida, College of Medicine, 2055 Mowry Road, P.O. Box 103600, Gainesville, FL 32610, United States
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Byrne AS, Goudreau A, Bissonnette N, Shamputa IC, Tahlan K. Methods for Detecting Mycobacterial Mixed Strain Infections-A Systematic Review. Front Genet 2020; 11:600692. [PMID: 33408740 PMCID: PMC7779811 DOI: 10.3389/fgene.2020.600692] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 11/19/2020] [Indexed: 12/22/2022] Open
Abstract
Mixed strain infection (MSI) refers to the concurrent infection of a susceptible host with multiple strains of a single pathogenic species. Known to occur in humans and animals, MSIs deserve special consideration when studying transmission dynamics, evolution, and treatment of mycobacterial diseases, notably tuberculosis in humans and paratuberculosis (or Johne's disease) in ruminants. Therefore, a systematic review was conducted to examine how MSIs are defined in the literature, how widespread the phenomenon is across the host species spectrum, and to document common methods used to detect such infections. Our search strategy identified 121 articles reporting MSIs in both humans and animals, the majority (78.5%) of which involved members of the Mycobacterium tuberculosis complex, while only a few (21.5%) examined non-tuberculous mycobacteria (NTM). In addition, MSIs exist across various host species, but most reports focused on humans due to the extensive amount of work done on tuberculosis. We reviewed the strain typing methods that allowed for MSI detection and found a few that were commonly employed but were associated with specific challenges. Our review notes the need for standardization, as some highly discriminatory methods are not adapted to distinguish between microevolution of one strain and concurrent infection with multiple strains. Further research is also warranted to examine the prevalence of NTM MSIs in both humans and animals. In addition, it is envisioned that the accurate identification and a better understanding of the distribution of MSIs in the future will lead to important information on the epidemiology and pathophysiology of mycobacterial diseases.
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Affiliation(s)
| | - Alex Goudreau
- Science & Health Sciences Librarian, University of New Brunswick, Saint John, NB, Canada
| | - Nathalie Bissonnette
- Sherbrooke Research and Development Center, Agriculture and Agri-Food Canada, Sherbrooke, QC, Canada
| | - Isdore Chola Shamputa
- Department of Nursing & Health Sciences, University of New Brunswick, Saint John, NB, Canada
| | - Kapil Tahlan
- Department of Biology, Memorial University of Newfoundland, St. John's, NL, Canada
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Ejo M, Torrea G, Uwizeye C, Kassa M, Girma Y, Bekele T, Ademe Y, Diro E, Gehre F, Rigouts L, de Jong BC. Genetic diversity of the Mycobacterium tuberculosis complex strains from newly diagnosed tuberculosis patients in Northwest Ethiopia reveals a predominance of East-African-Indian and Euro-American lineages. Int J Infect Dis 2020; 103:72-80. [PMID: 33189940 DOI: 10.1016/j.ijid.2020.11.129] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 11/03/2020] [Accepted: 11/06/2020] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVES This study described the population structure of M. tuberculosis complex (MTBc) strains among patients with pulmonary or lymph node tuberculosis (TB) in Northwest Ethiopia and tested the performance of culture isolation and MPT64-based speciation for Lineage 7 (L7). METHODS Patients were recruited between April 2017 and June 2019 in North Gondar, Ethiopia. The MPT64 assay was used to confirm MTBc, and spoligotyping was used to characterize mycobacterial lineages. Line probe assay (LPA) was used to detect resistance to rifampicin and isoniazid. RESULTS Among 274 MTBc genotyped isolates, there were five MTBc lineages: L1-L4 and L7 were identified, with predominant East-African-Indian (L3) (53.6%) and Euro-American (L4) (40.1%) strains, and low prevalence (2.6%) of Ethiopia L7. The genotypes were similarly distributed between pulmonary and lymph node TB, and all lineages were equally isolated by culture and recognized as MTBc by the MPT64 assay. Additionally, LPA showed that 259 (94.5%) MTBc were susceptible to both rifampicin and isoniazid, and one (0.4%) was multi-drug resistant (resistant to both rifampicin and isoniazid). CONCLUSION These findings show that TB in North Gondar, Ethiopia, is mainly caused by L3 and L4 strains, with low rates of L7, confirmed as MTBc by MPT64 assay and with limited resistance to rifampicin and isoniazid.
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Affiliation(s)
- Mebrat Ejo
- Institute of Tropical Medicine (ITM), Antwerp, Belgium; University of Gondar, Gondar, Ethiopia; Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium.
| | | | | | - Meseret Kassa
- TB Culture Laboratory, University of Gondar Comprehensive Specialized Hospital, Gondar, Ethiopia
| | - Yilak Girma
- TB Culture Laboratory, University of Gondar Comprehensive Specialized Hospital, Gondar, Ethiopia
| | - Tiruzer Bekele
- Department of Pathology, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Yilkal Ademe
- Department of Pathology, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Ermias Diro
- Department of Internal Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Florian Gehre
- Institute of Tropical Medicine (ITM), Antwerp, Belgium; Bernhard-Nocht-Institute for Tropical Medicine, Hamburg, Germany; East African Community Secretariat (EAC), Arusha, Tanzania
| | - Leen Rigouts
- Institute of Tropical Medicine (ITM), Antwerp, Belgium; Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
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Cudahy PGT, Wilson D, Cohen T. Risk factors for recurrent tuberculosis after successful treatment in a high burden setting: a cohort study. BMC Infect Dis 2020; 20:789. [PMID: 33097000 PMCID: PMC7585300 DOI: 10.1186/s12879-020-05515-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 10/15/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND People successfully completing treatment for tuberculosis remain at elevated risk for recurrent disease, either from relapse or reinfection. Identifying risk factors for recurrent tuberculosis may help target post-tuberculosis screening and care. METHODS We enrolled 500 patients with smear-positive pulmonary tuberculosis in South Africa and collected baseline data on demographics, clinical presentation and sputum mycobacterial cultures for 24-loci mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR) typing. We used routinely-collected administrative data to identify recurrent episodes of tuberculosis occurring over a median of six years after successful treatment completion. RESULTS Of 500 patients initially enrolled, 333 (79%) successfully completed treatment for tuberculosis. During the follow-up period 35 patients with successful treatment (11%) experienced a bacteriologically confirmed tuberculosis recurrence. In our Cox proportional hazards model, a 3+ AFB sputum smear grade was significantly associated with recurrent tuberculosis with a hazard ratio of 3.33 (95% CI 1.44-7.7). The presence of polyclonal M. tuberculosis infection at baseline had a hazard ratio for recurrence of 1.96 (95% CI 0.86-4.48). CONCLUSION Our results indicate that AFB smear grade is independently associated with tuberculosis recurrence after successful treatment for an initial episode while the association between polyclonal M. tuberculosis infection and increased risk of recurrence appears possible.
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Affiliation(s)
- Patrick George Tobias Cudahy
- Section of Infectious Disease, Department of Medicine, Yale University School of Medicine, New Haven, CT, USA.
- Department of Internal Medicine, Edendale Hospital, University of KwaZulu-Natal, 5th Floor, Private Bag X 509, Plessislaer, KZN, Pietermaritzburg, 3216, South Africa.
| | - Douglas Wilson
- Department of Internal Medicine, Edendale Hospital, University of KwaZulu-Natal, 5th Floor, Private Bag X 509, Plessislaer, KZN, Pietermaritzburg, 3216, South Africa.
| | - Ted Cohen
- Department of Epidemiology (Microbial Diseases), Yale University School of Public Health, New Haven, CT, USA
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Avanzi C, Singh P, Truman RW, Suffys PN. Molecular epidemiology of leprosy: An update. INFECTION GENETICS AND EVOLUTION 2020; 86:104581. [PMID: 33022427 DOI: 10.1016/j.meegid.2020.104581] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 09/27/2020] [Accepted: 10/01/2020] [Indexed: 12/27/2022]
Abstract
Molecular epidemiology investigations are notoriously challenging in the leprosy field mainly because the inherent characteristics of the disease as well as its yet uncultivated causative agents, Mycobacterium leprae and M. lepromatosis. Despite significant developments in understanding the biology of leprosy bacilli through genomic approaches, the exact mechanisms of transmission is still unclear and the factors underlying pathological variation of the disease in different patients remain as major gaps in our knowledge about leprosy. Despite these difficulties, the last two decades have seen the development of genotyping procedures based on PCR-sequencing of target loci as well as by the genome-wide analysis of an increasing number of geographically diverse isolates of leprosy bacilli. This has provided a foundation for molecular epidemiology studies that are bringing a better understanding of strain evolution associated with ancient human migrations, and phylogeographical insights about the spread of disease globally. This review discusses the advantages and drawbacks of the main tools available for molecular epidemiological investigations of leprosy and summarizes various methods ranging from PCR-based genotyping to genome-typing techniques. We also describe their main applications in analyzing the short-range and long-range transmission of the disease. Finally, we summarise the current gaps and challenges that remain in the field of molecular epidemiology of leprosy.
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Affiliation(s)
- Charlotte Avanzi
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, USA; Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Pushpendra Singh
- Indian Council of Medical Research - National Institute of Research in Tribal Health, Jabalpur, India
| | - Richard W Truman
- Department of Pathobiological Sciences, Louisiana State University, Baton Rouge, LO, USA
| | - Philip N Suffys
- Laboratory of Molecular Biology Applied to Mycobacteria - Oswaldo Cruz Institute, Fiocruz, Rio de Janeiro, Brazil.
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Abascal E, Herranz M, Ruiz Serrano MJ, Fernández-González F, Muñoz P, Gotuzzo E, García de Viedma D. In-depth analysis of a mixed Mycobacterium tuberculosis infection involving a multidrug-resistant strain and a susceptible strain. Clin Microbiol Infect 2020; 27:641-643. [PMID: 33007480 DOI: 10.1016/j.cmi.2020.09.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 09/19/2020] [Accepted: 09/20/2020] [Indexed: 11/20/2022]
Affiliation(s)
- Estefanía Abascal
- Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Marta Herranz
- Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; CIBER Enfermedades Respiratorias (CIBERES), Spain
| | - María Jesús Ruiz Serrano
- Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Francisco Fernández-González
- Hospital General Universitario Gregorio Marañón, Madrid, Spain; Penitenciary Unit, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Patricia Muñoz
- Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Department of Medicine, Facultad de Medicina. Universidad Complutense de Madrid, Spain
| | - Eduardo Gotuzzo
- TB Research Unit, Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Darío García de Viedma
- Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; CIBER Enfermedades Respiratorias (CIBERES), Spain.
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Mycobacterium tuberculosis polyclonal infections through treatment and recurrence. PLoS One 2020; 15:e0237345. [PMID: 32813724 PMCID: PMC7437862 DOI: 10.1371/journal.pone.0237345] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 07/23/2020] [Indexed: 12/02/2022] Open
Abstract
Background Mixed/polyclonal infections due to different genotypes are reported in Tuberculosis. The current study was designed to understand the fate of mixed infections during the course of treatment and follow-up and its role in disease pathogenesis. Methods Sputum samples were collected on 0,1,2,3,6,12 and 24 months from 157 treatment-naïve patients, cultures subjected to Drug-Susceptibility-testing (MGIT 960), spoligotyping, MIRU-VNTR and SNP genotyping. All isolated colonies on thin layer agar (7H11) were subjected to spoligotyping. Findings One thirty three baseline cultures were positive (133/157, 84.7%), 43(32.3%) had mixture of genotypes. Twenty-four of these patients (55.8%) showed change in genotype while six showed different drug-susceptibility patterns while on treatment. Twenty-three (53.5%) patients with polyclonal infections showed resistance to at least one drug compared to 10/90 (11.1%) monoclonal infections (P<0.0001). Eight patients had recurrent TB, two with a new genotype and two with altered phenotypic DST. Conclusions The coexistence of different genotypes and change of genotypes during the same disease episode, while on treatment, confirms constancy of polyclonal infections. The composition of the mixture of genotypes and the relative predominance may be missed by culture due to its limit of detection. Polyclonal infections in TB could be a rule rather than exception and challenges the age-old dogma of reactivation/reinfection.
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Anyansi C, Straub TJ, Manson AL, Earl AM, Abeel T. Computational Methods for Strain-Level Microbial Detection in Colony and Metagenome Sequencing Data. Front Microbiol 2020; 11:1925. [PMID: 33013732 PMCID: PMC7507117 DOI: 10.3389/fmicb.2020.01925] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 07/22/2020] [Indexed: 01/17/2023] Open
Abstract
Metagenomic sequencing is a powerful tool for examining the diversity and complexity of microbial communities. Most widely used tools for taxonomic profiling of metagenomic sequence data allow for a species-level overview of the composition. However, individual strains within a species can differ greatly in key genotypic and phenotypic characteristics, such as drug resistance, virulence and growth rate. Therefore, the ability to resolve microbial communities down to the level of individual strains within a species is critical to interpreting metagenomic data for clinical and environmental applications, where identifying a particular strain, or tracking a particular strain across a set of samples, can help aid in clinical diagnosis and treatment, or in characterizing yet unstudied strains across novel environmental locations. Recently published approaches have begun to tackle the problem of resolving strains within a particular species in metagenomic samples. In this review, we present an overview of these new algorithms and their uses, including methods based on assembly reconstruction and methods operating with or without a reference database. While existing metagenomic analysis methods show reasonable performance at the species and higher taxonomic levels, identifying closely related strains within a species presents a bigger challenge, due to the diversity of databases, genetic relatedness, and goals when conducting these analyses. Selection of which metagenomic tool to employ for a specific application should be performed on a case-by case basis as these tools have strengths and weaknesses that affect their performance on specific tasks. A comprehensive benchmark across different use case scenarios is vital to validate performance of these tools on microbial samples. Because strain-level metagenomic analysis is still in its infancy, development of more fine-grained, high-resolution algorithms will continue to be in demand for the future.
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Affiliation(s)
- Christine Anyansi
- Delft Bioinformatics Lab, Delft University of Technology, Delft, Netherlands
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Timothy J. Straub
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Abigail L. Manson
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Ashlee M. Earl
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Thomas Abeel
- Delft Bioinformatics Lab, Delft University of Technology, Delft, Netherlands
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
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Walter KS, Colijn C, Cohen T, Mathema B, Liu Q, Bowers J, Engelthaler DM, Narechania A, Lemmer D, Croda J, Andrews JR. Genomic variant-identification methods may alter Mycobacterium tuberculosis transmission inferences. Microb Genom 2020; 6:mgen000418. [PMID: 32735210 PMCID: PMC7641424 DOI: 10.1099/mgen.0.000418] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 07/15/2020] [Indexed: 12/31/2022] Open
Abstract
Pathogen genomic data are increasingly used to characterize global and local transmission patterns of important human pathogens and to inform public health interventions. Yet, there is no current consensus on how to measure genomic variation. To test the effect of the variant-identification approach on transmission inferences for Mycobacterium tuberculosis, we conducted an experiment in which five genomic epidemiology groups applied variant-identification pipelines to the same outbreak sequence data. We compared the variants identified by each group in addition to transmission and phylogenetic inferences made with each variant set. To measure the performance of commonly used variant-identification tools, we simulated an outbreak. We compared the performance of three mapping algorithms, five variant callers and two variant filters in recovering true outbreak variants. Finally, we investigated the effect of applying increasingly stringent filters on transmission inferences and phylogenies. We found that variant-calling approaches used by different groups do not recover consistent sets of variants, which can lead to conflicting transmission inferences. Further, performance in recovering true variation varied widely across approaches. While no single variant-identification approach outperforms others in both recovering true genome-wide and outbreak-level variation, variant-identification algorithms calibrated upon real sequence data or that incorporate local reassembly outperform others in recovering true pairwise differences between isolates. The choice of variant filters contributed to extensive differences across pipelines, and applying increasingly stringent filters rapidly eroded the accuracy of transmission inferences and quality of phylogenies reconstructed from outbreak variation. Commonly used approaches to identify M. tuberculosis genomic variation have variable performance, particularly when predicting potential transmission links from pairwise genetic distances. Phylogenetic reconstruction may be improved by less stringent variant filtering. Approaches that improve variant identification in repetitive, hypervariable regions, such as long-read assemblies, may improve transmission inference.
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Affiliation(s)
- Katharine S. Walter
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Caroline Colijn
- Department of Mathematics, Simon Fraser University, Burnaby, BC, Canada
| | - Ted Cohen
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Barun Mathema
- Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, New York, USA
| | - Qingyun Liu
- School of Basic Medical Science of Fudan University, Shanghai, PR China
| | - Jolene Bowers
- Translational Genomics Research Institute, Flagstaff, AZ, USA
| | | | | | - Darrin Lemmer
- Translational Genomics Research Institute, Flagstaff, AZ, USA
| | - Julio Croda
- School of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Brazil
- Oswaldo Cruz Foundation, Campo Grande, Brazil
| | - Jason R. Andrews
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA
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Kaguthi G, Nduba V, Rabuogi P, Okelloh D, Ouma SG, Blatner G, Gelderbloem S, Mitchell EMH, Scott CP, Verver S, Hawkridge T, de Steenwinkel JEM, Laserson KF, Richardus JH. Development of a TB vaccine trial site in Africa and lessons from the Ebola experience. BMC Public Health 2020; 20:999. [PMID: 32586316 PMCID: PMC7316575 DOI: 10.1186/s12889-020-09051-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 06/04/2020] [Indexed: 11/24/2022] Open
Abstract
Tuberculosis is the deadliest infection of our time. In contrast, about 11,000 people died of Ebola between 2014 and 2016. Despite this manifest difference in mortality, there is now a vaccine licensed in the United States and by the European Medicines Agency, with up to 100% efficacy against Ebola. The developments that led to the trialing of the Ebola vaccine were historic and unprecedented. The single licensed TB vaccine (BCG) has limited efficacy. There is a dire need for a more efficacious TB vaccine. To deploy such vaccines, trials are needed in sites that combine high disease incidence and research infrastructure. We describe our twelve-year experience building a TB vaccine trial site in contrast to the process in the recent Ebola outbreak. There are additional differences. Relative to the Ebola pipeline, TB vaccines have fewer trials and a paucity of government and industry led trials. While pathogens have varying levels of difficulty in the development of new vaccine candidates, there yet appears to be greater interest in funding and coordinating Ebola interventions. TB is a global threat that requires similar concerted effort for elimination.
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Affiliation(s)
- G Kaguthi
- Centre for Respiratory Diseases Research-Kenya Medical Research Institute (KEMRI-CRDR), Nairobi, Kenya. .,Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands. .,(at the time of the studies) KEMRI and Centers for Disease Control and Prevention Public Health Collaboration, Kisumu, Kenya.
| | - V Nduba
- Centre for Respiratory Diseases Research-Kenya Medical Research Institute (KEMRI-CRDR), Nairobi, Kenya.,(at the time of the studies) KEMRI and Centers for Disease Control and Prevention Public Health Collaboration, Kisumu, Kenya
| | - P Rabuogi
- Centre for Respiratory Diseases Research-Kenya Medical Research Institute (KEMRI-CRDR), Nairobi, Kenya.,(at the time of the studies) KEMRI and Centers for Disease Control and Prevention Public Health Collaboration, Kisumu, Kenya
| | - D Okelloh
- Centre for Respiratory Diseases Research-Kenya Medical Research Institute (KEMRI-CRDR), Nairobi, Kenya.,(at the time of the studies) KEMRI and Centers for Disease Control and Prevention Public Health Collaboration, Kisumu, Kenya
| | - S G Ouma
- Centre for Respiratory Diseases Research-Kenya Medical Research Institute (KEMRI-CRDR), Nairobi, Kenya.,(at the time of the studies) KEMRI and Centers for Disease Control and Prevention Public Health Collaboration, Kisumu, Kenya
| | - G Blatner
- AERAS (at the time of the studies), Cape Town, South Africa.,AERAS (at the time of the studies), Rockville, Maryland, USA
| | - S Gelderbloem
- AERAS (at the time of the studies), Cape Town, South Africa.,AERAS (at the time of the studies), Rockville, Maryland, USA
| | - Ellen M H Mitchell
- Institute of Tropical Medicine, Antwerp, Belgium.,(at the time of the studies) KNCV Tuberculosis Foundation, The Hague, The Netherlands
| | - Cherise P Scott
- AERAS (at the time of the studies), Cape Town, South Africa.,AERAS (at the time of the studies), Rockville, Maryland, USA
| | - S Verver
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.,(at the time of the studies) KNCV Tuberculosis Foundation, The Hague, The Netherlands
| | - T Hawkridge
- AERAS (at the time of the studies), Cape Town, South Africa.,AERAS (at the time of the studies), Rockville, Maryland, USA
| | - J E M de Steenwinkel
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - K F Laserson
- (at the time of the studies) KEMRI and Centers for Disease Control and Prevention Public Health Collaboration, Kisumu, Kenya
| | - J H Richardus
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
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Guimaraes AMS, Zimpel CK. Mycobacterium bovis: From Genotyping to Genome Sequencing. Microorganisms 2020; 8:E667. [PMID: 32375210 PMCID: PMC7285088 DOI: 10.3390/microorganisms8050667] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Revised: 04/17/2020] [Accepted: 04/21/2020] [Indexed: 12/15/2022] Open
Abstract
Mycobacterium bovis is the main pathogen of bovine, zoonotic, and wildlife tuberculosis. Despite the existence of programs for bovine tuberculosis (bTB) control in many regions, the disease remains a challenge for the veterinary and public health sectors, especially in developing countries and in high-income nations with wildlife reservoirs. Current bTB control programs are mostly based on test-and-slaughter, movement restrictions, and post-mortem inspection measures. In certain settings, contact tracing and surveillance has benefited from M. bovis genotyping techniques. More recently, whole-genome sequencing (WGS) has become the preferential technique to inform outbreak response through contact tracing and source identification for many infectious diseases. As the cost per genome decreases, the application of WGS to bTB control programs is inevitable moving forward. However, there are technical challenges in data analyses and interpretation that hinder the implementation of M. bovis WGS as a molecular epidemiology tool. Therefore, the aim of this review is to describe M. bovis genotyping techniques and discuss current standards and challenges of the use of M. bovis WGS for transmission investigation, surveillance, and global lineages distribution. We compiled a series of associated research gaps to be explored with the ultimate goal of implementing M. bovis WGS in a standardized manner in bTB control programs.
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Affiliation(s)
- Ana M. S. Guimaraes
- Laboratory of Applied Research in Mycobacteria, Department of Microbiology, University of São Paulo, São Paulo 01246-904, Brazil;
| | - Cristina K. Zimpel
- Laboratory of Applied Research in Mycobacteria, Department of Microbiology, University of São Paulo, São Paulo 01246-904, Brazil;
- Department of Preventive Veterinary Medicine and Animal Health, University of São Paulo, São Paulo 01246-904, Brazil
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Nimmo C, Brien K, Millard J, Grant AD, Padayatchi N, Pym AS, O'Donnell M, Goldstein R, Breuer J, Balloux F. Dynamics of within-host Mycobacterium tuberculosis diversity and heteroresistance during treatment. EBioMedicine 2020; 55:102747. [PMID: 32361247 PMCID: PMC7195533 DOI: 10.1016/j.ebiom.2020.102747] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 03/02/2020] [Accepted: 03/19/2020] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Studying within-host genetic diversity of Mycobacterium tuberculosis (Mtb) in patients during treatment may identify adaptations to antibiotic and immune pressure. Understanding the significance of genetic heteroresistance, and more specifically heterozygous resistance-associated variants (RAVs), is clinically important given increasing use of rapid molecular tests and whole genome sequencing (WGS). METHODS We analyse data from six studies in KwaZulu-Natal, South Africa. Most patients (>75%) had baseline rifampicin resistance. Sputum was collected for culture at baseline and at between two and nine intervals until month six. Positive cultures underwent WGS. Mixed infections and reinfections were excluded from analysis. FINDINGS Baseline Mtb overall genetic diversity (at treatment initiation or major change to regimen) was associated with cavitary disease, not taking antiretroviral therapy if HIV infected, infection with lineage 2 strains and absence of second-line drug resistance on univariate analyses. Baseline genetic diversity was not associated with six-month outcome. Genetic diversity increased from baseline to weeks one and two before returning to previous levels. Baseline genetic heteroresistance was most common for bedaquiline (6/10 [60%] of isolates with RAVs) and fluoroquinolones (9/62 [13%]). Most patients with heterozygous RAVs on WGS with sequential isolates available demonstrated RAV persistence or fixation (17/20, 85%). New RAVs emerged in 9/286 (3%) patients during treatment. We could detect low-frequency RAVs preceding emergent resistance in only one case, although validation of deep sequencing to detect rare variants is required. INTERPRETATION In this study of single-strain Mtb infections, baseline within-host bacterial genetic diversity did not predict outcome but may reveal adaptations to host and drug pressures. Predicting emergent resistance from low-frequency RAVs requires further work to separate transient from consequential mutations. FUNDING Wellcome Trust, NIH/NIAID.
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MESH Headings
- Adult
- Antitubercular Agents/therapeutic use
- Cohort Studies
- Diarylquinolines/therapeutic use
- Drug Resistance, Multiple, Bacterial/genetics
- Female
- Fluoroquinolones/therapeutic use
- Gene Expression Regulation, Bacterial
- Genes, Bacterial
- Genetic Variation
- Host-Pathogen Interactions/genetics
- Humans
- Male
- Metabolic Networks and Pathways/genetics
- Microbial Sensitivity Tests
- Middle Aged
- Mycobacterium tuberculosis/drug effects
- Mycobacterium tuberculosis/genetics
- Mycobacterium tuberculosis/metabolism
- Rifampin/therapeutic use
- South Africa
- Sputum/microbiology
- Tuberculosis, Multidrug-Resistant/drug therapy
- Tuberculosis, Multidrug-Resistant/microbiology
- Tuberculosis, Multidrug-Resistant/pathology
- Tuberculosis, Pulmonary/drug therapy
- Tuberculosis, Pulmonary/microbiology
- Tuberculosis, Pulmonary/pathology
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Affiliation(s)
- Camus Nimmo
- Division of Infection and Immunity, University College London, London, UK; UCL Genetics Institute, University College London, London, UK; Africa Health Research Institute, Durban, South Africa.
| | - Kayleen Brien
- Africa Health Research Institute, Durban, South Africa
| | - James Millard
- Africa Health Research Institute, Durban, South Africa; Wellcome Trust Liverpool Glasgow Centre for Global Health Research, Liverpool, UK; Institute of Infection and Global Health, University of Liverpool, Liverpool, UK
| | - Alison D Grant
- Africa Health Research Institute, Durban, South Africa; London School of Hygiene & Tropical Medicine, London, UK
| | - Nesri Padayatchi
- CAPRISA MRC-HIV-TB Pathogenesis and Treatment Research Unit, Durban, South Africa
| | | | - Max O'Donnell
- CAPRISA MRC-HIV-TB Pathogenesis and Treatment Research Unit, Durban, South Africa; Department of Medicine & Epidemiology, Columbia University Medical Center, New York, NY, USA
| | - Richard Goldstein
- Division of Infection and Immunity, University College London, London, UK
| | - Judith Breuer
- Division of Infection and Immunity, University College London, London, UK
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50
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Kargarpour Kamakoli M, Farmanfarmaei G, Masoumi M, Khanipour S, Gharibzadeh S, Sola C, Fateh A, Siadat SD, Refregier G, Vaziri F. Prediction of the hidden genotype of mixed infection strains in Iranian tuberculosis patients. Int J Infect Dis 2020; 95:22-27. [PMID: 32251801 DOI: 10.1016/j.ijid.2020.03.056] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Revised: 03/19/2020] [Accepted: 03/24/2020] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Patients with mixed-strain Mycobacterium tuberculosis infections may be at a high risk of poor treatment outcomes. However, the mechanisms through which mixed infections affect the clinical manifestations are not well recognized. Evidence suggests that failure to detect the pathogen diversity within the host can influence the clinical results. We aimed to investigate the effects of different genotypes in mixed infections and determine their relationship with heteroresistance in the treatment of Iranian tuberculosis patients. METHODS One of the genotypes was identified in the culture and another genotype pattern in the mixed infection was predicted by comparing the pattern of MIRU-VNTR between the clinical specimens and their respective cultures in each patient. For all patients, the drug susceptibility testing was carried out on three single colonies from each clinical sample. The follow-up of patients was carried out during six months of treatment. RESULTS Based on MIRU-VNTR profiles of clinical samples, we showed that 55.6% (25/45) of the Iranian patients included in the study had mixed infections. Patients with mixed infections had a higher rate of treatment failure, compared to others (P=0.03). By comparing clinical sample profiles to profiles obtained after culture, we were able to distinguish between major and hidden genotypes. Among hidden genotypes, Haarlem (L4.1.2) and Beijing (L2) were associated to treatment failure (6/8 patients). CONCLUSIONS To conclude, we propose a procedure using the MIRU-VNTR method to identify the different genotypes in mixed infections. The present findings suggest that genotypes with potentially higher pathogenicity may not be detected when performing experimental culture in patients with mixed infections.
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Affiliation(s)
- Mansour Kargarpour Kamakoli
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
| | - Ghazaleh Farmanfarmaei
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
| | - Morteza Masoumi
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
| | - Sharareh Khanipour
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
| | - Safoora Gharibzadeh
- Department of Epidemiology and Biostatistics, Research Center for Emerging and Reemerging Infectious Diseases, Pasteur Institute of Iran, Tehran, Iran
| | - Christophe Sola
- Institut for Integrative Biology of the Cell (I2BC), CEA, CNRS, Univ. Paris Sud, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Abolfazl Fateh
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
| | - Seyed Davar Siadat
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
| | - Guislaine Refregier
- Institut for Integrative Biology of the Cell (I2BC), CEA, CNRS, Univ. Paris Sud, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Farzam Vaziri
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran.
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