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Yan X, Yang G, Wang Y, Wang Y, Cheng J, Xu P, Qiu X, Su L, Liu L, Geng R, You Y, Liu H, Chu N, Ma L, Nie W. Nanopore sequencing for smear-negative pulmonary tuberculosis-a multicentre prospective study in China. Ann Clin Microbiol Antimicrob 2024; 23:51. [PMID: 38877520 PMCID: PMC11179381 DOI: 10.1186/s12941-024-00714-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 06/05/2024] [Indexed: 06/16/2024] Open
Abstract
PURPOSE In this prospective study, the diagnosis accuracy of nanopore sequencing-based Mycobacterium tuberculosis (MTB) detection was determined through examining bronchoalveolar lavage fluid (BALF) samples from pulmonary tuberculosis (PTB) -suspected patients. Compared the diagnostic performance of nanopore sequencing, mycobacterial growth indicator tube (MGIT) culture and Xpert MTB/rifampin resistance (MTB/RIF) assays. METHODS Specimens collected from suspected PTB cases across China from September 2021 to April 2022 were tested then assay diagnostic accuracy rates were compared. RESULTS Among the 111 suspected PTB cases that were ultimately diagnosed as PTB, the diagnostic rate of nanopore sequencing was statistically significant different from other assays (P < 0.05). Fleiss' kappa values of 0.219 and 0.303 indicated fair consistency levels between MTB detection results obtained using nanopore sequencing versus other assays, respectively. Respective PTB diagnostic sensitivity rates of MGIT culture, Xpert MTB/RIF and nanopore sequencing of 36.11%, 40.28% and 83.33% indicated superior sensitivity of nanopore sequencing. Analysis of area under the curve (AUC), Youden's index and accuracy values and the negative predictive value (NPV) indicated superior MTB detection performance for nanopore sequencing (with Xpert MTB/RIF ranking second), while the PTB diagnostic accuracy rate of nanopore sequencing exceeded corresponding rates of the other methods. CONCLUSIONS In comparison with MGIT culture and Xpert MTB/RIF assays, BALF's nanopore sequencing provided superior MTB detection sensitivity and thus is suitable for testing of sputum-scarce suspected PTB cases. However, negative results obtained using these assays should be confirmed based on additional evidence before ruling out a PTB diagnosis.
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Affiliation(s)
- Xiaojing Yan
- Medical Quality Control Center, Beijing Chest Hospital, Capital Medical University, Beijing, 101149, PR China
| | - Guoli Yang
- Tuberculosis Department, Tuberculosis Hospital of Jilin Province (Jilin Provincial Infectious Disease Hospital), Changchun, 130500, PR China
| | - Yunfei Wang
- Department of Medicine, Hangzhou Shengting Medical Technolog, Ltd, Zhejiang, Hangzhou, 310000, PR China
| | - Yuqing Wang
- The Fourth People's Hospital of Qinghai Province, Xining, 510650, PR China
| | - Jie Cheng
- Tuberculosis Department, Anhui Provincial Chest Hospital, Hefei, 230022, PR China
| | - Peisong Xu
- Department of Medicine, Hangzhou Shengting Medical Technolog, Ltd, Zhejiang, Hangzhou, 310000, PR China
| | - Xiaoli Qiu
- Department of Medicine, Hangzhou Shengting Medical Technolog, Ltd, Zhejiang, Hangzhou, 310000, PR China
| | - Lei Su
- Tuberculosis Department, Henan Province Anyang City Tuberculosis Prevention and Control Institute, Henan Province, Anyang City, 455000, PR China
| | - Lina Liu
- Tuberculosis Department, Hengshui Third People's Hospital, Hengshui City, Henan Province, 053099, PR China
| | - Ruixue Geng
- Tuberculosis Department, Hohhot Second Hospital, Hohhot City, Inner Mongolia Autonomous Region, 010020, PR China
| | - Yingxia You
- Tuberculosis Department, Zhengzhou Sixth People's Hospital, Zhengzhou City, Henan Province, 450015, PR China
| | - Hui Liu
- Medical Quality Control Center, Beijing Chest Hospital, Capital Medical University, Beijing, 101149, PR China
| | - Naihui Chu
- Tuberculosis Department, Beijing Chest Hospital, Capital Medical University, Beijing, 101149, PR China.
| | - Li Ma
- Department of medical oncology, Beijing Chest Hospital, Capital Medical University, Beijing, 101149, PR China.
| | - Wenjuan Nie
- Tuberculosis Department, Beijing Chest Hospital, Capital Medical University, Beijing, 101149, PR China.
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Dippenaar A, Costa Conceição E, Wells F, Loubser J, Mann B, De Diego Fuertes M, Rennie V, Warren RM, Van Rie A. Exploring the potential of Oxford Nanopore Technologies sequencing for Mycobacterium tuberculosis sequencing: An assessment of R10 flowcells and V14 chemistry. PLoS One 2024; 19:e0303938. [PMID: 38843147 PMCID: PMC11156342 DOI: 10.1371/journal.pone.0303938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Accepted: 05/03/2024] [Indexed: 06/09/2024] Open
Abstract
Oxford Nanopore Technologies (ONT) sequencing is a promising technology. We assessed the performance of the new ONT R10 flowcells and V14 rapid sequencing chemistry for Mtb whole genome sequencing of Mycobacterium tuberculosis (Mtb) DNA extracted from clinical primary liquid cultures (CPLCs). Using the recommended protocols for MinION Mk1C, R10.4.1 MinION flowcells, and the ONT Rapid Sequencing Kit V14 on six CPLC samples, we obtained a pooled library yield of 10.9 ng/μl, generated 1.94 Gb of sequenced bases and 214k reads after 48h in a first sequencing run. Only half (49%) of all generated reads met the Phred Quality score threshold (>8). To assess if the low data output and sequence quality were due to impurities present in DNA extracted directly from CPLCs, we added a pre-library preparation bead-clean-up step and included purified DNA obtained from an Mtb subculture as a control sample in a second sequencing run. The library yield for DNA extracted from four CPLCs and one Mtb subculture (control) was similar (10.0 ng/μl), 2.38 Gb of bases and 822k reads were produced. The quality was slightly better with 66% of the produced reads having a Phred Quality >8. A third run of DNA from six CPLCs with bead clean-up pre-processing produced a low library yield (±1 Gb of bases, 166k reads) of low quality (51% of reads with a Phred Quality score >8). A median depth of coverage above 10× was only achieved for five of 17 (29%) sequenced libraries. Compared to Illumina WGS of the same samples, accurate lineage predictions and full drug resistance profiles from the generated ONT data could not be determined by TBProfiler. Further optimization of the V14 ONT rapid sequencing chemistry and library preparation protocol is needed for clinical Mtb WGS applications.
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Affiliation(s)
- Anzaan Dippenaar
- Department of Family Medicine and Population Health, Global Health Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Emilyn Costa Conceição
- Division of Molecular Biology and Human Genetics, South African Medical Research Council Centre for Tuberculosis Research, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Felicia Wells
- Division of Molecular Biology and Human Genetics, South African Medical Research Council Centre for Tuberculosis Research, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Johannes Loubser
- Division of Molecular Biology and Human Genetics, South African Medical Research Council Centre for Tuberculosis Research, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Brendon Mann
- Division of Molecular Biology and Human Genetics, South African Medical Research Council Centre for Tuberculosis Research, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Miguel De Diego Fuertes
- Department of Family Medicine and Population Health, Global Health Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Vincent Rennie
- Department of Family Medicine and Population Health, Global Health Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Robin Mark Warren
- Division of Molecular Biology and Human Genetics, South African Medical Research Council Centre for Tuberculosis Research, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Annelies Van Rie
- Department of Family Medicine and Population Health, Global Health Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
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Ali MR, Mahmud S, Faruque MO, Hossain MI, Hossain MA, Kibria KK. Investigation of the vaccine potential of an in silico designed FepA peptide vaccine against Shigella flexneri in mice model. Vaccine X 2024; 18:100493. [PMID: 38812954 PMCID: PMC11134883 DOI: 10.1016/j.jvacx.2024.100493] [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: 01/20/2024] [Revised: 04/19/2024] [Accepted: 04/22/2024] [Indexed: 05/31/2024] Open
Abstract
Background Shigellosis is one of the significant causes of diarrhea in Bangladesh. It is a global health problem; approximately 1.3 million people die yearly from Shigellosis. The current treatment method, using different antibiotics against Shigellosis is ineffective. Moreover, it becomes a worrying situation due to the emergence of antibiotic-resistant pathogenic microbes responsible for these diarrheal diseases. Methodology Previous immunoinformatics study predicted a potential peptide from the Ferric enterobactin protein (FepA) of Shigella spp. In this study, we have chemically synthesized the FepA peptide. As a highly immunogenic, FepA peptide conjugated with KLH has been tested in mice model with complete and incomplete adjuvants as a vaccine candidate. Results Immunological analysis showed that all vaccinated mice were immunologically boosted, which was statistically significant (P-value 0.0325) compared to control mice. Immunological analysis for bacterial neutralization test result was also statistically significant (P-value 0.0468), where each ELISA plate was coated with 1 × 107S. flexneri cells. The Challenge test with 1 × 1012S. flexneri cells to each vaccinated and controlled mice showed that 37.5 % of control (non-vaccinated) mice died within seven days after the challenge was given while 100 % of vaccinated mice remained strong and stout. The analyses of the post-challenge weight loss of the mice were also significant (P-value 0.0367) as the weight loss percentage in control mice was much higher than in the vaccinated mice. The pathological and phenotypic appearances of vaccinated mice were also clearly differentiable compared with control mice. Thus all these immunological analysis and pathological appearances directly supported our FepA peptide as a potential immune booster. Conclusion This study provides evidence that the FepA peptide is a highly immunogenic vaccine candidate against S. flexneri. Therefore, these findings inspire future trials for the evaluation of the suitability of this vaccine candidate against Shigellosis.
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Affiliation(s)
- Md. Rayhan Ali
- Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail-1902, Bangladesh
| | - Shahin Mahmud
- Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail-1902, Bangladesh
| | - Md. Omar Faruque
- Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail-1902, Bangladesh
| | - Md. Imam Hossain
- Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail-1902, Bangladesh
| | - Mohammed Akhter Hossain
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Victoria 3052, Australia
| | - K.M. Kaderi Kibria
- Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail-1902, Bangladesh
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Mann BC, Jacobson KR, Ghebrekristos Y, Warren RM, Farhat MR. Assessment and validation of enrichment and target capture approaches to improve Mycobacterium tuberculosis WGS from direct patient samples. J Clin Microbiol 2023; 61:e0038223. [PMID: 37728909 PMCID: PMC10595060 DOI: 10.1128/jcm.00382-23] [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: 03/27/2023] [Accepted: 07/20/2023] [Indexed: 09/22/2023] Open
Abstract
Within-host Mycobacterium tuberculosis (Mtb) diversity may detect antibiotic resistance or predict tuberculosis treatment failure and is best captured through sequencing directly from sputum. Here, we compared three sample pre-processing steps for DNA decontamination and studied the yield of a new target enrichment protocol for optimal whole-genome sequencing (WGS) from direct patient samples. Mtb-positive NALC-NaOH-treated patient sputum sediments were pooled, and heat inactivated, split in replicates, and treated by either a wash, DNase I, or benzonase digestion. Levels of contaminating host DNA and target Mtb DNA were assessed by quantitative PCR (qPCR), followed by WGS with and without custom dsDNA target enrichment. The pre-treatment sample has a high host-to-target ratio of DNA (6,168 ± 1,638 host copies/ng to 212.3 ± 59.4 Mtb copies/ng) that significantly decreased with all three treatments. Benzonase treatment resulted in the highest enrichment of Mtb DNA at 100-fold compared with control (3,422 ± 2,162 host copies/ng to 11,721 ± 7,096 Mtb copies/ng). The custom dsDNA probe panel successfully enriched libraries from as little as 0.45 pg of Mtb DNA (100 genome copies). Applied to direct sputum the dsDNA target enrichment panel increased the percent of sequencing reads mapping to the Mtb target for all three pre-processing methods. Comparing the results of the benzonase sample sequenced both with and without enrichment, the percent of sequencing reads mapping to the Mtb increased to 90.95% from 1.18%. We demonstrate a low limit of detection for a new custom dsDNA Mtb target enrichment panel that has a favorable cost profile. The results also demonstrate that pre-processing to remove contaminating extracellular DNA prior to cell lysis and DNA extraction improves the host-to-Mtb DNA ratio but is not adequate to support average coverage WGS without target capture.
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Affiliation(s)
- B. C. Mann
- Department of Biomedical Sciences, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | - K. R. Jacobson
- Section of Infectious Diseases, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Y. Ghebrekristos
- Department of Biomedical Sciences, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- National Health Laboratory Service, Greenpoint Tuberculosis Laboratory, Cape Town, South Africa
| | - R. M. Warren
- Department of Biomedical Sciences, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - M. R. Farhat
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
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Yang J, Ye W, Zhang C, Lin W, Mei L, Liu S, Liu J. Accuracy of Nanopore Sequencing as a Diagnostic Assay for Pulmonary Tuberculosis versus Smear, Culture and Xpert MTB/RIF: A Head-to-Head Comparison. Trop Med Infect Dis 2023; 8:441. [PMID: 37755902 PMCID: PMC10535524 DOI: 10.3390/tropicalmed8090441] [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: 08/22/2023] [Revised: 09/02/2023] [Accepted: 09/04/2023] [Indexed: 09/28/2023] Open
Abstract
Early diagnosis of pulmonary tuberculosis (PTB) is pivotal for achieving effective tuberculosis (TB) control. This study aimed to assess the effectiveness of nanopore sequencing of sputum, bronchoalveolar lavage fluid (BALF), and pleural fluid samples for achieving early PTB diagnosis and provided head-to-head comparisons of nanopore sequencing results versus results obtained using smear, culture, and Xpert MTB/RIF assays. Patients admitted from October 2021 to April 2023 were screened for PTB using diagnostic imaging and electronic medical records. A total of 172 patients (129 PTB, 43 non-TB patients) were included in the final analysis after the exclusion of patients who did not meet the study's inclusion criteria. PTB-positive rates were determined for each assay, and then, assay diagnostic efficacies were compared. The positive MTB-detection rates obtained using nanopore sequencing were 86.8% for all samples, 62.3% for BALF, and 84.6% for pleural fluid, all of which were significantly higher than the corresponding rates obtained using the other three assays. The overall sensitivity rates, specificity rates, and area under the curve (AUC) values obtained from smear testing were 5.4%, 95.3%, and 0.504, respectively, as compared to the respective results obtained via culture (18.6%, 100.0%, and 0.593), Xpert MTB/RIF (26.4%, 97.7%, and 0.620), and nanopore sequencing (85.3%, 95.4%, and 0.903). The diagnostic efficacy of nanopore sequencing surpassed the diagnostic efficacies of smear, culture, and Xpert MTB/RIF assays. Thus, nanopore sequencing holds promise as an alternative to Xpert MTB/RIF for early PTB detection, particularly for the testing of BALF and pleural fluid samples.
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Affiliation(s)
- Juan Yang
- Department of Tuberculosis, Anhui Chest Hospital, Anhui Provincial Institute for Tuberculosis Prevention and Treatment, Hefei 230022, China; (J.Y.); (C.Z.); (W.L.); (L.M.)
| | - Wei Ye
- Department of Pathology, Anhui Chest Hospital, Anhui Provincial Institute for Tuberculosis Prevention and Treatment, Hefei 230022, China;
| | - Chao Zhang
- Department of Tuberculosis, Anhui Chest Hospital, Anhui Provincial Institute for Tuberculosis Prevention and Treatment, Hefei 230022, China; (J.Y.); (C.Z.); (W.L.); (L.M.)
| | - Wenhong Lin
- Department of Tuberculosis, Anhui Chest Hospital, Anhui Provincial Institute for Tuberculosis Prevention and Treatment, Hefei 230022, China; (J.Y.); (C.Z.); (W.L.); (L.M.)
| | - Lin Mei
- Department of Tuberculosis, Anhui Chest Hospital, Anhui Provincial Institute for Tuberculosis Prevention and Treatment, Hefei 230022, China; (J.Y.); (C.Z.); (W.L.); (L.M.)
| | - Shengsheng Liu
- Department of Tuberculosis, Anhui Chest Hospital, Anhui Provincial Institute for Tuberculosis Prevention and Treatment, Hefei 230022, China; (J.Y.); (C.Z.); (W.L.); (L.M.)
| | - Jie Liu
- Department of Tuberculosis Control and Prevention, Anhui Chest Hospital, Anhui Provincial Institute for Tuberculosis Prevention and Treatment, Hefei 230022, China
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Nilgiriwala K, Rabodoarivelo MS, Hall MB, Patel G, Mandal A, Mishra S, Andrianomanana FR, Dingle K, Rodger G, George S, Crook DW, Hoosdally S, Mistry N, Rakotosamimanana N, Iqbal Z, Grandjean Lapierre S, Walker TM. Genomic Sequencing from Sputum for Tuberculosis Disease Diagnosis, Lineage Determination, and Drug Susceptibility Prediction. J Clin Microbiol 2023; 61:e0157822. [PMID: 36815861 PMCID: PMC10035339 DOI: 10.1128/jcm.01578-22] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023] Open
Abstract
Universal access to drug susceptibility testing for newly diagnosed tuberculosis patients is recommended. Access to culture-based diagnostics remains limited, and targeted molecular assays are vulnerable to emerging resistance mutations. Improved protocols for direct-from-sputum Mycobacterium tuberculosis sequencing would accelerate access to comprehensive drug susceptibility testing and molecular typing. We assessed a thermo-protection buffer-based direct-from-sample M. tuberculosis whole-genome sequencing protocol. We prospectively analyzed 60 acid-fast bacilli smear-positive clinical sputum samples in India and Madagascar. A diversity of semiquantitative smear positivity-level samples were included. Sequencing was performed using Illumina and MinION (monoplex and multiplex) technologies. We measured the impact of bacterial inoculum and sequencing platforms on genomic read depth, drug susceptibility prediction performance, and typing accuracy. M. tuberculosis was identified by direct sputum sequencing in 45/51 samples using Illumina, 34/38 were identified using MinION-monoplex sequencing, and 20/24 were identified using MinION-multiplex sequencing. The fraction of M. tuberculosis reads from MinION sequencing was lower than from Illumina, but monoplexing grade 3+ samples on MinION produced higher read depth than Illumina (P < 0.05) and MinION multiplexing (P < 0.01). No significant differences in sensitivity and specificity of drug susceptibility predictions were seen across sequencing modalities or within each technology when stratified by smear grade. Illumina sequencing from sputum accurately identified 1/8 (rifampin) and 6/12 (isoniazid) resistant samples, compared to 2/3 (rifampin) and 3/6 (isoniazid) accurately identified with Nanopore monoplex. Lineage agreement levels between direct and culture-based sequencing were 85% (MinION-monoplex), 88% (Illumina), and 100% (MinION-multiplex). M. tuberculosis direct-from-sample whole-genome sequencing remains challenging. Improved and affordable sample treatment protocols are needed prior to clinical deployment.
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Affiliation(s)
| | | | - Michael B Hall
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridgeshire, United Kingdom
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, Australia
| | - Grishma Patel
- Foundation for Medical Research, Mumbai, Maharashtra, India
| | - Ayan Mandal
- Foundation for Medical Research, Mumbai, Maharashtra, India
| | - Shefali Mishra
- Foundation for Medical Research, Mumbai, Maharashtra, India
| | | | - Kate Dingle
- Nuffield Department of Clinical Medicine, John Radcliffe Hospital, Oxford University, Oxford, United Kingdom
| | - Gillian Rodger
- Nuffield Department of Clinical Medicine, John Radcliffe Hospital, Oxford University, Oxford, United Kingdom
| | - Sophie George
- Nuffield Department of Clinical Medicine, John Radcliffe Hospital, Oxford University, Oxford, United Kingdom
| | - Derrick W Crook
- Nuffield Department of Clinical Medicine, John Radcliffe Hospital, Oxford University, Oxford, United Kingdom
| | - Sarah Hoosdally
- Nuffield Department of Clinical Medicine, John Radcliffe Hospital, Oxford University, Oxford, United Kingdom
| | - Nerges Mistry
- Foundation for Medical Research, Mumbai, Maharashtra, India
| | | | - Zamin Iqbal
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridgeshire, United Kingdom
| | - Simon Grandjean Lapierre
- Mycobacteriology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar
- Immunopathology Axis, Centre de Recherche du Centre Hospitalier, Université de Montréal, Montréal, Québec, Canada
- Department of Microbiology, Infectious Diseases and Immunology, Université de Montréal, Montréal, Québec, Canada
| | - Timothy M Walker
- Nuffield Department of Clinical Medicine, John Radcliffe Hospital, Oxford University, Oxford, United Kingdom
- Oxford University, Clinical Research Unit, Ho Chi Minh City, Vietnam
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Liu Z, Yang Y, Wang Q, Wang L, Nie W, Chu N. Diagnostic value of a nanopore sequencing assay of bronchoalveolar lavage fluid in pulmonary tuberculosis. BMC Pulm Med 2023; 23:77. [PMID: 36890507 PMCID: PMC9996878 DOI: 10.1186/s12890-023-02337-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 01/23/2023] [Indexed: 03/10/2023] Open
Abstract
BACKGROUND To determine the diagnostic accuracy of a nanopore sequencing assay of PCR products from a M. tuberculosis complex-specific region for testing of bronchoalveolar lavage fluid (BALF) samples or sputum samples from suspected pulmonary tuberculosis (PTB) patients and compare the results to results obtained for MGIT and Xpert assays. METHODS Cases with suspected PTB (n = 55) were diagnosed from January 2019 to December 2021 based on results of nanopore sequencing, MGIT culture, and Xpert MTB/RIF testing of BALF and sputum samples collected during hospitalization. Diagnostic accuracies of assays were compared. RESULTS Ultimately, data from 29 PTB patients and 26 non-PTB cases were analyzed. PTB diagnostic sensitivities of MGIT, Xpert MTB/RIF, and nanopore sequencing assays were 48.28%, 41.38%, and 75.86%, respectively, thus demonstrating that nanopore sequencing provided greater sensitivity than was provided by MGIT culture and Xpert assays (P < 0.05). PTB diagnostic specificities of the respective assays were 65.38%, 100%, and 80.77%, which corresponded with kappa coefficient (κ) values of 0.14, 0.40, and 0.56, respectively. These results indicate that nanopore sequencing provided superior overall performance as compared to Xpert and MGIT culture assays and provided significantly greater PTB diagnostic accuracy than Xpert and sensitivity comparable to that of the MGIT culture assay. CONCLUSION Our findings suggest that improved detection of PTB in suspected cases was achieved using nanopore sequencing-based testing of BALF or sputum samples than was achieved using Xpert and MGIT culture-based assays, and nanopore sequencing results alone cannot be used to rule out PTB.
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Affiliation(s)
- Zhifeng Liu
- Beijing Emercency Mecial Center, Beijing, 100031, People's Republic of China
| | - Yang Yang
- Tuberculosis Department, Beijing Chest Hospital Affiliated to Capital Medical University, No 9, Beiguan Street, Tongzhou District, Beijing, 101149, People's Republic of China
| | - Qingfeng Wang
- Tuberculosis Department, Beijing Chest Hospital Affiliated to Capital Medical University, No 9, Beiguan Street, Tongzhou District, Beijing, 101149, People's Republic of China
| | - Lei Wang
- Tuberculosis Department, Dezhou Second People's Hospital, Textile Street, Canal Economic Development Zone, Dezhou, 253007, People's Republic of China
| | - Wenjuan Nie
- Tuberculosis Department, Beijing Chest Hospital Affiliated to Capital Medical University, No 9, Beiguan Street, Tongzhou District, Beijing, 101149, People's Republic of China.
| | - Naihui Chu
- Tuberculosis Department, Beijing Chest Hospital Affiliated to Capital Medical University, No 9, Beiguan Street, Tongzhou District, Beijing, 101149, People's Republic of China.
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Rapid Identification of Drug-Resistant Tuberculosis Genes Using Direct PCR Amplification and Oxford Nanopore Technology Sequencing. THE CANADIAN JOURNAL OF INFECTIOUS DISEASES & MEDICAL MICROBIOLOGY = JOURNAL CANADIEN DES MALADIES INFECTIEUSES ET DE LA MICROBIOLOGIE MEDICALE 2022; 2022:7588033. [PMID: 35386470 PMCID: PMC8979720 DOI: 10.1155/2022/7588033] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 01/27/2022] [Accepted: 03/14/2022] [Indexed: 12/31/2022]
Abstract
Mycobacterium tuberculosis antimicrobial resistance has been continually reported and is a major public health issue worldwide. Rapid prediction of drug resistance is important for selecting appropriate antibiotic treatments, which significantly increases cure rates. Gene sequencing technology has proven to be a powerful strategy for identifying relevant drug resistance information. This study established a sequencing method and bioinformatics pipeline for resistance gene analysis using an Oxford Nanopore Technologies sequencer. The pipeline was validated by Sanger sequencing and exhibited 100% concordance with the identified variants. Turnaround time for the nanopore sequencing workflow was approximately 12 h, facilitating drug resistance prediction several weeks earlier than that of traditional phenotype drug susceptibility testing. This study produced a customized gene panel assay for rapid bacterial identification via nanopore sequencing, which improves the timeliness of tuberculosis diagnoses and provides a reliable method that may have clinical application.
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Kanellakis NI, Wrightson JM, Gerry S, Ilott N, Corcoran JP, Bedawi EO, Asciak R, Nezhentsev A, Sundaralingam A, Hallifax RJ, Economides GM, Bland LR, Daly E, Yao X, Maskell NA, Miller RF, Crook DW, Hinks TSC, Dong T, Psallidas I, Rahman NM. The bacteriology of pleural infection (TORPIDS): an exploratory metagenomics analysis through next generation sequencing. THE LANCET. MICROBE 2022; 3:e294-e302. [PMID: 35544066 PMCID: PMC8967721 DOI: 10.1016/s2666-5247(21)00327-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 11/08/2021] [Accepted: 11/17/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND Pleural infection is a common and severe disease with high morbidity and mortality worldwide. The knowledge of pleural infection bacteriology remains incomplete, as pathogen detection methods based on culture have insufficient sensitivity and are biased to selected microbes. We designed a study with the aim to discover and investigate the total microbiome of pleural infection and assess the correlation between bacterial patterns and 1-year survival of patients. METHODS We assessed 243 pleural fluid samples from the PILOT study, a prospective observational study on pleural infection, with 16S rRNA next generation sequencing. 20 pleural fluid samples from patients with pleural effusion due to a non-infectious cause and ten PCR-grade water samples were used as controls. Downstream analysis was done with the DADA2 pipeline. We applied multivariate Cox regression analyses to investigate the association between bacterial patterns and 1-year survival of patients with pleural infection. FINDINGS Pleural infection was predominately polymicrobial (192 [79%] of 243 samples), with diverse bacterial frequencies observed in monomicrobial and polymicrobial disease and in both community-acquired and hospital-acquired infection. Mixed anaerobes and other Gram-negative bacteria predominated in community-acquired polymicrobial infection whereas Streptococcus pneumoniae prevailed in monomicrobial cases. The presence of anaerobes (hazard ratio 0·46, 95% CI 0·24-0·86, p=0·015) or bacteria of the Streptococcus anginosus group (0·43, 0·19-0·97, p=0·043) was associated with better patient survival, whereas the presence (5·80, 2·37-14·21, p<0·0001) or dominance (3·97, 1·20-13·08, p=0·024) of Staphylococcus aureus was linked with lower survival. Moreover, dominance of Enterobacteriaceae was associated with higher risk of death (2·26, 1·03-4·93, p=0·041). INTERPRETATION Pleural infection is a predominantly polymicrobial infection, explaining the requirement for broad spectrum antibiotic cover in most individuals. High mortality infection associated with S aureus and Enterobacteriaceae favours more aggressive, with a narrower spectrum, antibiotic strategies. FUNDING UK Medical Research Council, National Institute for Health Research Oxford Biomedical Research Centre, Wellcome Trust, Oxfordshire Health Services Research Committee, Chinese Academy of Medical Sciences, and John Fell Fund.
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Affiliation(s)
- Nikolaos I Kanellakis
- Oxford Centre for Respiratory Medicine, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK; Laboratory of Pleural and Lung Cancer Translational Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK; Chinese Academy of Medical Sciences, China Oxford Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK; National Institute for Health Research Oxford Biomedical Research Centre, University of Oxford, Oxford, UK.
| | - John M Wrightson
- Oxford Centre for Respiratory Medicine, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Stephen Gerry
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Nicholas Ilott
- Oxford Centre for Microbiome Studies, Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
| | - John P Corcoran
- Oxford Centre for Respiratory Medicine, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Eihab O Bedawi
- Oxford Centre for Respiratory Medicine, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Rachelle Asciak
- Oxford Centre for Respiratory Medicine, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK,Laboratory of Pleural and Lung Cancer Translational Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Andrey Nezhentsev
- Laboratory of Pleural and Lung Cancer Translational Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Anand Sundaralingam
- Oxford Centre for Respiratory Medicine, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Rob J Hallifax
- Oxford Centre for Respiratory Medicine, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Greta M Economides
- Laboratory of Pleural and Lung Cancer Translational Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Lucy R Bland
- Laboratory of Pleural and Lung Cancer Translational Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Elizabeth Daly
- Laboratory of Pleural and Lung Cancer Translational Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Xuan Yao
- Chinese Academy of Medical Sciences, China Oxford Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK,MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Nick A Maskell
- Academic Respiratory Unit, University of Bristol Medical School Translational Health Sciences, Bristol, UK,North Bristol Lung Centre, North Bristol NHS Trust, Bristol, UK
| | - Robert F Miller
- Institute for Global Health, University College London, London, UK
| | - Derrick W Crook
- Nuffield Department of Medicine, University of Oxford and John Radcliffe Hospital, Oxford, UK,National Institute of Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Timothy S C Hinks
- Oxford Centre for Respiratory Medicine, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK,Respiratory Medicine Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK,National Institute for Health Research Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Tao Dong
- Chinese Academy of Medical Sciences, China Oxford Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK,MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Ioannis Psallidas
- Oxford Centre for Respiratory Medicine, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK,Laboratory of Pleural and Lung Cancer Translational Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Najib M Rahman
- Oxford Centre for Respiratory Medicine, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK,Laboratory of Pleural and Lung Cancer Translational Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK,Chinese Academy of Medical Sciences, China Oxford Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK,National Institute for Health Research Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
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10
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Dippenaar A, Goossens SN, Grobbelaar M, Oostvogels S, Cuypers B, Laukens K, Meehan CJ, Warren RM, van Rie A. Nanopore Sequencing for Mycobacterium tuberculosis: a Critical Review of the Literature, New Developments, and Future Opportunities. J Clin Microbiol 2022; 60:e0064621. [PMID: 34133895 PMCID: PMC8769739 DOI: 10.1128/jcm.00646-21] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
The next-generation, short-read sequencing technologies that generate comprehensive, whole-genome data with single nucleotide resolution have already advanced tuberculosis diagnosis, treatment, surveillance, and source investigation. Their high costs, tedious and lengthy processes, and large equipment remain major hurdles for research use in high tuberculosis burden countries and implementation into routine care. The portable next-generation sequencing devices developed by Oxford Nanopore Technologies (ONT) are attractive alternatives due to their long-read sequence capability, compact low-cost hardware, and continued improvements in accuracy and throughput. A systematic review of the published literature demonstrated limited uptake of ONT sequencing in tuberculosis research and clinical care. Of the 12 eligible articles presenting ONT sequencing data on at least one Mycobacterium tuberculosis sample, four addressed software development for long-read ONT sequencing data with potential applications for M. tuberculosis. Only eight studies presented results of ONT sequencing of M. tuberculosis, of which five performed whole-genome and three did targeted sequencing. Based on these findings, we summarize the standard processes, reflect on the current limitations of ONT sequencing technology, and the research needed to overcome the main hurdles. The low capital cost, portable nature and continued improvement in the performance of ONT sequencing make it an attractive option for sequencing for research and clinical care, but limited data are available on its application in the tuberculosis field. Important research investment is needed to unleash the full potential of ONT sequencing for tuberculosis research and care.
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Affiliation(s)
- Anzaan Dippenaar
- Tuberculosis Omics Research Consortium, Family Medicine and Population Health, Institute of Global Health, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
- Unit of Mycobacteriology, Institute of Tropical Medicine, Antwerp, Belgium
| | - Sander N. Goossens
- Tuberculosis Omics Research Consortium, Family Medicine and Population Health, Institute of Global Health, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Melanie Grobbelaar
- Department of Science and Innovation-National Research Foundation Centre for Excellence for Biomedical Tuberculosis Research, SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Selien Oostvogels
- Tuberculosis Omics Research Consortium, Family Medicine and Population Health, Institute of Global Health, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Bart Cuypers
- Department of Computer Science, University of Antwerp, Antwerp, Belgium
- Molecular Parasitology Group, Institute of Tropical Medicine, Antwerp, Belgium
| | - Kris Laukens
- Molecular Parasitology Group, Institute of Tropical Medicine, Antwerp, Belgium
| | - Conor J. Meehan
- Unit of Mycobacteriology, Institute of Tropical Medicine, Antwerp, Belgium
- School of Chemistry and Bioscience, Faculty of Life Science, University of Bradford, Bradford, West Yorkshire, United Kingdom
| | - Robin M. Warren
- Department of Science and Innovation-National Research Foundation Centre for Excellence for Biomedical Tuberculosis Research, SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Annelies van Rie
- Tuberculosis Omics Research Consortium, Family Medicine and Population Health, Institute of Global Health, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
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11
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Dippenaar A, Ismail N, Grobbelaar M, Oostvogels S, de Vos M, Streicher EM, Heupink TH, van Rie A, Warren RM. Optimizing liquefaction and decontamination of sputum for DNA extraction from Mycobacterium tuberculosis. Tuberculosis (Edinb) 2022; 132:102159. [PMID: 34906896 DOI: 10.1016/j.tube.2021.102159] [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: 08/27/2021] [Revised: 11/21/2021] [Accepted: 12/02/2021] [Indexed: 10/19/2022]
Abstract
Whole genome sequencing (WGS) can investigate the entire Mycobacterium tuberculosis (Mtb) genome but currently requires large amounts of mycobacterial DNA, necessitating culture. Culture-free Mtb WGS could revolutionize the clinical use of WGS but is hampered by the high viscosity, low mycobacterial load, and high contamination with bacterial and human DNA in sputum samples. To improve the sputum liquefaction and decontamination step prior to DNA extraction, we assessed the efficiency of Myco-TB, MycoPrep, and Sputolysin with/without TiKa-Kic in liquefying and decontaminating sputum and aimed to evaluate the effect of these approaches on mycobacterial viability, and Mtb DNA quality and quantity. Experiments using spiked sputum samples showed that Myco-TB and BD MycoPrep with standard (15 min) or increased (30 min) incubation time, but not reduced (7,5 min) incubation time performed well in liquefying and decontaminating sputum. No difference in DNA quality or quantity, contamination, or the amount of human DNA present was observed. In comparison, Sputolysin with/without TiKa-Kic was less effective for liquefaction and decontamination of sputum. PCR amplification of the human GAPDH gene after sputum treatment, showed the presence of human DNA in all samples, regardless of sputum treatment. Focused efforts are needed to deplete contaminating DNA for culture-free Mtb WGS.
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Affiliation(s)
- Anzaan Dippenaar
- Department of Science and Innovation-National Research Foundation Centre for Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa; Tuberculosis Omics Research Consortium, Department of Family Medicine and Population Health, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.
| | - Nabila Ismail
- Department of Science and Innovation-National Research Foundation Centre for Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Melanie Grobbelaar
- Department of Science and Innovation-National Research Foundation Centre for Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Selien Oostvogels
- Tuberculosis Omics Research Consortium, Department of Family Medicine and Population Health, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Margaretha de Vos
- Department of Science and Innovation-National Research Foundation Centre for Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Elizabeth M Streicher
- Department of Science and Innovation-National Research Foundation Centre for Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Tim H Heupink
- Tuberculosis Omics Research Consortium, Department of Family Medicine and Population Health, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Annelies van Rie
- Tuberculosis Omics Research Consortium, Department of Family Medicine and Population Health, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Robin M Warren
- Department of Science and Innovation-National Research Foundation Centre for Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
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12
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Schuele L, Cassidy H, Peker N, Rossen JWA, Couto N. Future potential of metagenomics in clinical laboratories. Expert Rev Mol Diagn 2021; 21:1273-1285. [PMID: 34755585 DOI: 10.1080/14737159.2021.2001329] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Rapid and sensitive diagnostic strategies are necessary for patient care and public health. Most of the current conventional microbiological assays detect only a restricted panel of pathogens at a time or require a microbe to be successfully cultured from a sample. Clinical metagenomics next-generation sequencing (mNGS) has the potential to unbiasedly detect all pathogens in a sample, increasing the sensitivity for detection and enabling the discovery of unknown infectious agents. AREAS COVERED High expectations have been built around mNGS; however, this technique is far from widely available. This review highlights the advances and currently available options in terms of costs, turnaround time, sensitivity, specificity, validation, and reproducibility of mNGS as a diagnostic tool in clinical microbiology laboratories. EXPERT OPINION The need for a novel diagnostic tool to increase the sensitivity of microbial diagnostics is clear. mNGS has the potential to revolutionise clinical microbiology. However, its role as a diagnostic tool has yet to be widely established, which is crucial for successfully implementing the technique. A clear definition of diagnostic algorithms that include mNGS is vital to show clinical utility. Similarly to real-time PCR, mNGS will one day become a vital tool in any testing algorithm.
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Affiliation(s)
- Leonard Schuele
- University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, the Netherlands
| | - Hayley Cassidy
- University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, the Netherlands
| | - Nilay Peker
- University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, the Netherlands
| | - John W A Rossen
- University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, the Netherlands.,Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Natacha Couto
- University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, the Netherlands.,The Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom
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13
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Jouet A, Gaudin C, Badalato N, Allix-Béguec C, Duthoy S, Ferré A, Diels M, Laurent Y, Contreras S, Feuerriegel S, Niemann S, André E, Kaswa MK, Tagliani E, Cabibbe A, Mathys V, Cirillo D, de Jong BC, Rigouts L, Supply P. Deep amplicon sequencing for culture-free prediction of susceptibility or resistance to 13 anti-tuberculous drugs. Eur Respir J 2021; 57:13993003.02338-2020. [PMID: 32943401 PMCID: PMC8174722 DOI: 10.1183/13993003.02338-2020] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 09/03/2020] [Indexed: 02/06/2023]
Abstract
Conventional molecular tests for detecting Mycobacterium tuberculosis complex (MTBC) drug resistance on clinical samples cover a limited set of mutations. Whole-genome sequencing (WGS) typically requires culture. Here, we evaluated the Deeplex Myc-TB targeted deep-sequencing assay for prediction of resistance to 13 anti-tuberculous drugs/drug classes, directly applicable on sputum. With MTBC DNA tests, the limit of detection was 100–1000 genome copies for fixed resistance mutations. Deeplex Myc-TB captured in silico 97.1–99.3% of resistance phenotypes correctly predicted by WGS from 3651 MTBC genomes. On 429 isolates, the assay predicted 92.2% of 2369 first- and second-line phenotypes, with a sensitivity of 95.3% and a specificity of 97.4%. 56 out of 69 (81.2%) residual discrepancies with phenotypic results involved pyrazinamide, ethambutol and ethionamide, and low-level rifampicin or isoniazid resistance mutations, all notoriously prone to phenotypic testing variability. Only two out of 91 (2.2%) resistance phenotypes undetected by Deeplex Myc-TB had known resistance-associated mutations by WGS analysis outside Deeplex Myc-TB targets. Phenotype predictions from Deeplex Myc-TB analysis directly on 109 sputa from a Djibouti survey matched those of MTBSeq/PhyResSE/Mykrobe, fed with WGS data from subsequent cultures, with a sensitivity of 93.5/98.5/93.1% and a specificity of 98.5/97.2/95.3%, respectively. Most residual discordances involved gene deletions/indels and 3–12% heteroresistant calls undetected by WGS analysis or natural pyrazinamide resistance of globally rare “Mycobacterium canettii” strains then unreported by Deeplex Myc-TB. On 1494 arduous sputa from a Democratic Republic of the Congo survey, 14 902 out of 19 422 (76.7%) possible susceptible or resistance phenotypes could be predicted culture-free. Deeplex Myc-TB may enable fast, tailored tuberculosis treatment. The novel Deeplex Myc-TB molecular assay shows a high degree of accuracy for extensive prediction of susceptibility and resistance to 13 anti-tuberculous drugs, directly achievable without culture, which may enable fast, tailored tuberculosis treatmenthttps://bit.ly/3bAvcAt
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Affiliation(s)
- Agathe Jouet
- GenoScreen, Lille, France.,These authors contributed equally to this work
| | - Cyril Gaudin
- GenoScreen, Lille, France.,These authors contributed equally to this work
| | | | | | | | | | - Maren Diels
- BCCM/ITM, Mycobacteria Collection, Institute of Tropical Medicine, Antwerp, Belgium
| | | | | | - Silke Feuerriegel
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.,German Center for Infection Research (DZIF), Partner Site Hamburg-Lübeck-Borstel, Borstel, Germany
| | - Stefan Niemann
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.,German Center for Infection Research (DZIF), Partner Site Hamburg-Lübeck-Borstel, Borstel, Germany
| | - Emmanuel André
- Laboratory of Clinical Bacteriology and Mycology, Dept of Microbiology and Immunology, KU Leuven, Leuven, Belgium
| | - Michel K Kaswa
- National Tuberculosis Program, Kinshasa, Democratic Republic of the Congo
| | - Elisa Tagliani
- Emerging Bacterial Pathogens, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Andrea Cabibbe
- Emerging Bacterial Pathogens, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Vanessa Mathys
- Unit Bacterial Diseases Service, Infectious Diseases in Humans, Sciensano, Brussels, Belgium
| | - Daniela Cirillo
- Emerging Bacterial Pathogens, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Bouke C de Jong
- Mycobacteriology Unit, Dept of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Leen Rigouts
- Mycobacteriology Unit, Dept of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.,Dept of Biomedical Sciences, Antwerp University, Antwerp, Belgium
| | - Philip Supply
- Université de Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, U1019-UMR 8204-CIIL (Center for Infection and Immunity of Lille), Lille, France
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14
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Mohamed S, Köser CU, Salfinger M, Sougakoff W, Heysell SK. Targeted next-generation sequencing: a Swiss army knife for mycobacterial diagnostics? Eur Respir J 2021; 57:57/3/2004077. [PMID: 33737379 DOI: 10.1183/13993003.04077-2020] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 12/09/2020] [Indexed: 02/04/2023]
Affiliation(s)
- Sagal Mohamed
- Division of Infectious Diseases and International Health, University of Virginia Charlottesville, Charlottesville, VA, USA
| | | | - Max Salfinger
- University of South Florida College of Public Health and Morsani College of Medicine, Tampa, FL, USA
| | - Wladimir Sougakoff
- Sorbonne Université, INSERM U1135, CIMI-Paris, APHP, Hôpital Pitié-Salpêtrière, NRC-MyRMA, Paris, France
| | - Scott K Heysell
- Division of Infectious Diseases and International Health, University of Virginia Charlottesville, Charlottesville, VA, USA
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15
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Allen AR, Ford T, Skuce RA. Does Mycobacterium tuberculosis var. bovis Survival in the Environment Confound Bovine Tuberculosis Control and Eradication? A Literature Review. Vet Med Int 2021; 2021:8812898. [PMID: 33628412 PMCID: PMC7880718 DOI: 10.1155/2021/8812898] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 01/12/2021] [Accepted: 01/25/2021] [Indexed: 12/13/2022] Open
Abstract
Bovine tuberculosis (bTB) is one of the globe's most common, multihost zoonoses and results in substantial socioeconomic costs for governments, farming industries, and tax payers. Despite decades of surveillance and research, surprisingly, little is known about the exact mechanisms of transmission. In particular, as a facultative intracellular pathogen, to what extent does survival of the causative agent, Mycobacterium tuberculosis var. bovis (M. bovis), in the environment constitute an epidemiological risk for livestock and wildlife? Due largely to the classical pathology of cattle cases, the received wisdom was that bTB was spread by direct inhalation and exchange of bioaerosols containing droplets laden with bacteria. Other members of the Mycobacterium tuberculosis complex (MTBC) exhibit differing host ranges, an apparent capacity to persist in environmental fomites, and they favour a range of different transmission routes. It is possible, therefore, that infection from environmental sources of M. bovis could be a disease transmission risk. Recent evidence from GPS-collared cattle and badgers in Britain and Ireland suggests that direct transmission by infectious droplets or aerosols may not be the main mechanism for interspecies transmission, raising the possibility of indirect transmission involving a contaminated, shared environment. The possibility that classical pulmonary TB can be simulated and recapitulated in laboratory animal models by ingestion of contaminated feed is a further intriguing indication of potential environmental risk. Livestock and wildlife are known to shed M. bovis onto pasture, soil, feedstuffs, water, and other fomites; field and laboratory studies have indicated that persistence is possible, but variable, under differing environmental conditions. Given the potential infection risk, it is timely to review the available evidence, experimental approaches, and methodologies that could be deployed to address this potential blind spot and control point. Although we focus on evidence from Western Europe, the concepts are widely applicable to other multihost bTB episystems.
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Affiliation(s)
- Adrian R. Allen
- Agri-Food and Biosciences Institute, Veterinary Sciences Division, Bacteriology Branch, Stoney Road Stormont, Belfast BT4 3SD, Northern Ireland, UK
| | - Tom Ford
- Agri-Food and Biosciences Institute, Veterinary Sciences Division, Bacteriology Branch, Stoney Road Stormont, Belfast BT4 3SD, Northern Ireland, UK
| | - Robin A. Skuce
- Agri-Food and Biosciences Institute, Veterinary Sciences Division, Bacteriology Branch, Stoney Road Stormont, Belfast BT4 3SD, Northern Ireland, UK
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16
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Shepherd BA, Tanjil MRE, Jeong Y, Baloğlu B, Liao J, Wang MC. Ångström- and Nano-scale Pore-Based Nucleic Acid Sequencing of Current and Emergent Pathogens. ACTA ACUST UNITED AC 2020; 5:2889-2906. [PMID: 33437534 PMCID: PMC7790041 DOI: 10.1557/adv.2020.402] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
State-of-the-art nanopore sequencing enables rapid and real-time identification of novel pathogens, which has wide application in various research areas and is an emerging diagnostic tool for infectious diseases including COVID-19. Nanopore translocation enables de novo sequencing with long reads (> 10 kb) of novel genomes, which has advantages over existing short-read sequencing technologies. Biological nanopore sequencing has already achieved success as a technology platform but it is sensitive to empirical factors such as pH and temperature. Alternatively, ångström- and nano-scale solid-state nanopores, especially those based on two-dimensional (2D) membranes, are promising next-generation technologies as they can surpass biological nanopores in the variety of membrane materials, ease of defining pore morphology, higher nucleotide detection sensitivity, and facilitation of novel and hybrid sequencing modalities. Since the discovery of graphene, atomically-thin 2D materials have shown immense potential for the fabrication of nanopores with well-defined geometry, rendering them viable candidates for nanopore sequencing membranes. Here, we review recent progress and future development trends of 2D materials and their ångström- and nano-scale pore-based nucleic acid (NA) sequencing including fabrication techniques and current and emerging sequencing modalities. In addition, we discuss the current challenges of translocation-based nanopore sequencing and provide an outlook on promising future research directions.
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Affiliation(s)
- Britney A Shepherd
- Department of Medical Engineering, University of South Florida, 4202 E. Fowler Avenue, Tampa, Florida 33620 USA
| | - Md Rubayat-E Tanjil
- Department of Mechanical Engineering, University of South Florida, 4202 E. Fowler Avenue, Tampa, Florida 33620 USA
| | - Yunjo Jeong
- Department of Mechanical Engineering, University of South Florida, 4202 E. Fowler Avenue, Tampa, Florida 33620 USA
| | - Bilgenur Baloğlu
- Centre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, Ontario N1G2W1 Canada
| | - Jingqiu Liao
- Department of Systems Biology, Columbia University, 1130 St. Nicholas Avenue, New York, New York 10032 USA
| | - Michael Cai Wang
- Department of Medical Engineering, University of South Florida, 4202 E. Fowler Avenue, Tampa, Florida 33620 USA.,Department of Mechanical Engineering, University of South Florida, 4202 E. Fowler Avenue, Tampa, Florida 33620 USA
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