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Kosai K, Matsumoto K, Ishikawa T, Kawamoto Y, Akamatsu N, Ota K, Mitsumoto-Kaseida F, Kaku N, Hasegawa H, Izumikawa K, Mukae H, Yanagihara K. Clinical Evaluation of a Rapid Reciprocal-Flow PCR Assay and Real-Time PCR Assay with Quenching Probe for Detection of Mycobacterium tuberculosis Complex. Microorganisms 2025; 13:201. [PMID: 39858969 PMCID: PMC11767626 DOI: 10.3390/microorganisms13010201] [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: 11/21/2024] [Revised: 12/26/2024] [Accepted: 01/14/2025] [Indexed: 01/27/2025] Open
Abstract
This study investigated the diagnostic efficiencies of two assays for the detection of Mycobacterium tuberculosis complex: (1) the reciprocal-flow real-time polymerase chain reaction (PCR)-based GeneSoC assay and (2) the real-time PCR based GENECUBE MTB assay with quenching probe. These assays were performed for stored clinical samples and results were compared with the confirmed results based on culture and COBAS TaqMan MTB assay. A total of 53 samples (20 confirmed positives and 33 confirmed negatives) were included in the performance analysis. The GeneSoC assay showed concordance in all 53 samples, regardless of specimen type, while the GENECUBE MTB assay showed concordance in 19 of the 20 confirmed positive samples and all 33 confirmed negative samples. The overall agreement was 100.0% for the GeneSoC assay and 98.1% for the GENECUBE MTB assay. Positive and negative percent agreements were 100.0% each for the GeneSoC assay and 95.0% and 100.0%, respectively, for the GENECUBE MTB assay. Both the GeneSoC and GENECUBE MTB assays exhibited excellent performance in detecting M. tuberculosis complex. The GeneSoC assay is useful for independent assays of individual samples, whereas the GENECUBE MTB assay is suitable for batch assays of multiple samples.
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Affiliation(s)
- Kosuke Kosai
- Department of Laboratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, Nagasaki 852-8501, Japan; (F.M.-K.)
| | - Keisuke Matsumoto
- Department of Laboratory Medicine, Nagasaki University Hospital, Nagasaki 852-8501, Japan (H.H.)
| | - Takahisa Ishikawa
- Department of Laboratory Medicine, Nagasaki University Hospital, Nagasaki 852-8501, Japan (H.H.)
| | - Yasuhide Kawamoto
- Department of Laboratory Medicine, Nagasaki University Hospital, Nagasaki 852-8501, Japan (H.H.)
| | - Norihiko Akamatsu
- Department of Laboratory Medicine, Nagasaki University Hospital, Nagasaki 852-8501, Japan (H.H.)
| | - Kenji Ota
- Department of Laboratory Medicine, Nagasaki University Hospital, Nagasaki 852-8501, Japan (H.H.)
| | - Fujiko Mitsumoto-Kaseida
- Department of Laboratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, Nagasaki 852-8501, Japan; (F.M.-K.)
| | - Norihito Kaku
- Department of Laboratory Medicine, Nagasaki University Hospital, Nagasaki 852-8501, Japan (H.H.)
| | - Hiroo Hasegawa
- Department of Laboratory Medicine, Nagasaki University Hospital, Nagasaki 852-8501, Japan (H.H.)
| | - Koichi Izumikawa
- Department of Infectious Diseases, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki 852-8501, Japan
| | - Hiroshi Mukae
- Department of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki 852-8501, Japan;
| | - Katsunori Yanagihara
- Department of Laboratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, Nagasaki 852-8501, Japan; (F.M.-K.)
- Department of Laboratory Medicine, Nagasaki University Hospital, Nagasaki 852-8501, Japan (H.H.)
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Xie L, Zhu XY, Xu L, Xu XX, Ruan ZF, Huang MX, Chen L, Jiang XW. Accurate and affordable detection of rifampicin and isoniazid resistance in Tuberculosis sputum specimens by multiplex PCR-multiple probes melting analysis. Infection 2024; 52:2371-2398. [PMID: 38884858 PMCID: PMC11621165 DOI: 10.1007/s15010-024-02295-w] [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: 10/26/2023] [Accepted: 05/10/2024] [Indexed: 06/18/2024]
Abstract
BACKGROUND Escalating cases of multidrug-resistant tuberculosis (MDR-TB) pose a major challenge to global TB control efforts, necessitating innovative diagnostics to empower decentralized detection of gene mutations associated with resistance to rifampicin (RIF) and isoniazid (INH) in Mycobacterium tuberculosis (M. tuberculosis) in resource-constrained settings. METHODS Combining multiplex fluorescent PCR and Multiple Probes Melting Analysis, we identified mutations in the rpoB, katG, ahpC and inhA genes from sputum specimens. We first constructed a reference plasmid library comprising 40 prevalent mutations in the target genes' resistance determining regions and promoters, serving as positive controls. Our assay utilizes a four-tube asymmetric PCR method with specifically designed molecular beacon probes, enabling simultaneous detection of all 40 mutations. We evaluated the assay's effectiveness using DNA isolated from 50 clinically confirmed M. tuberculosis sputum specimens, comparing our results with those obtained from Sanger sequencing and retrospective validation involving bacteriological culture and phenotypic drug susceptibility testing (pDST). We also included the commercial Xpert MTB/RIF assay for accuracy comparison. RESULTS Our data demonstrated remarkable sensitivity in detecting resistance to RIF and INH, achieving values of 93.33% and 95.24%, respectively, with a specificity of 100%. The concordance between our assay and pDST was 98.00%. Furthermore, the accuracy of our assay was comparable to both Sanger sequencing and the Xpert assay. Importantly, our assay boasts a 4.2-h turnaround time and costs only $10 per test, making it an optimal choice for peripheral healthcare settings. CONCLUSION These findings highlight our assay's potential as a promising tool for rapidly, accurately, and affordably detecting MDR-TB.
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Affiliation(s)
- Long Xie
- Clinical and Translational Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK
| | - Xiao-Ya Zhu
- State Key Laboratory of Virology, School of Life Sciences, Wuhan University, Wuhan, China
| | - Li Xu
- Research Institute, DAAN Gene Co., Ltd., Guangzhou, China
- The Medicine and Biological Engineering Technology Research Centre of the Ministry of Health, Guangzhou, China
| | - Xiao-Xie Xu
- Research Institute, DAAN Gene Co., Ltd., Guangzhou, China
- The Medicine and Biological Engineering Technology Research Centre of the Ministry of Health, Guangzhou, China
| | - Ze-Fan Ruan
- Research Institute, DAAN Gene Co., Ltd., Guangzhou, China
- The Medicine and Biological Engineering Technology Research Centre of the Ministry of Health, Guangzhou, China
| | - Ming-Xiang Huang
- Fuzhou Pulmonary Hospital and Fujian Medical University Clinical Teaching Hospital, Fuzhou, China.
| | - Li Chen
- Chaoshan Hospital, The First Affiliated Hospital of Jinan University, Chaozhou, China.
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Jinan University, Guangzhou, China.
| | - Xi-Wen Jiang
- Research Institute, DAAN Gene Co., Ltd., Guangzhou, China.
- The Medicine and Biological Engineering Technology Research Centre of the Ministry of Health, Guangzhou, China.
- School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, China.
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Villalva-Serra K, Barreto-Duarte B, Miguez-Pinto JP, Queiroz AT, Rodrigues MM, Rebeiro PF, Amorim G, Cordeiro-Santos M, Sterling TR, Araújo-Pereira M, Andrade BB. Impact of Xpert MTB/RIF implementation in tuberculosis case detection and control in Brazil: a nationwide intervention time-series analysis (2011-2022). LANCET REGIONAL HEALTH. AMERICAS 2024; 36:100804. [PMID: 38912329 PMCID: PMC11192787 DOI: 10.1016/j.lana.2024.100804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 04/24/2024] [Accepted: 05/22/2024] [Indexed: 06/25/2024]
Abstract
Background Since 2014, Brazil has gradually implemented the Xpert MTB/RIF (Xpert) test to enhance early tuberculosis (TB) and drug-resistant (DR-TB) detection and control, yet its nationwide impact remains underexplored. Our study conducts an intervention time-series analysis (ITSA) to evaluate how the Xpert's implementation has improved TB and DR-TB detection nationwide. Methods 1,061,776 cases from Brazil's National TB Registry (2011-2022) were reviewed and ITSA (2011-2019) was used to gauge the impact of the Xpert's adoption on TB and DR-TB notification. Granger Causality and dynamic regression modelling determined if incorporating Xpert testing as an external regressor enhanced forecasting accuracy for Brazil's future TB trends. Findings Xpert implementation resulted in a 9.7% increase in TB notification and substantial improvements in DR-TB (63.6%) and drug-susceptible TB (92.1%) detection compared to expected notifications if it had not been implemented. Xpert testing counts also presented a time-dependent relationship with DR-TB detection post-implementation, and improved predictions in forecasting models, which depicted a potential increase in TB and DR-TB detection in the next six years. Interpretation This study underscores the critical role of Xpert's adoption in boosting TB and DR-TB detection in Brazil, reinforcing the case for its widespread use in disease control. Improvements in prediction accuracy resulting from integrating Xpert data are crucial for allocating resources and reducing the incidence of TB. By acknowledging Xpert's role in both disease control and improving predictions, we advocate for its expanded use and further research into advanced molecular diagnostics for effective TB and DR-TB control. Funding FIOCRUZ.
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Affiliation(s)
- Klauss Villalva-Serra
- Curso de Medicina, Universidade Salvador (UNIFACS), Salvador, Brazil
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil
- Laboratório de Pesquisa Clínica e Translacional (LPCT), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
| | - Beatriz Barreto-Duarte
- Curso de Medicina, Universidade Salvador (UNIFACS), Salvador, Brazil
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil
- Laboratório de Pesquisa Clínica e Translacional (LPCT), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
- Programa Pós-graduação de Clínica Médica. Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- Instituto de Pesquisa Clínica e Translacional (IPCT), Faculdade Zarns, Clariens Educação, Salvador, Brazil
| | - João P. Miguez-Pinto
- Curso de Medicina, Universidade Salvador (UNIFACS), Salvador, Brazil
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil
- Laboratório de Pesquisa Clínica e Translacional (LPCT), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
| | - Artur T.L. Queiroz
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil
- Laboratório de Pesquisa Clínica e Translacional (LPCT), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
| | - Moreno M. Rodrigues
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil
- Laboratório de Análise e Visualização de Dados, Fundação Oswaldo Cruz, Porto Velho, Brazil
| | - Peter F. Rebeiro
- Division of Infectious Diseases & Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Gustavo Amorim
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Marcelo Cordeiro-Santos
- Fundação Medicina Tropical Dr Heitor Vieira Dourado, Manaus, Brazil
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus, Brazil
- Universidade Nilton Lins, Manaus, Brazil
| | - Timothy R. Sterling
- Division of Infectious Diseases & Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Mariana Araújo-Pereira
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil
- Laboratório de Pesquisa Clínica e Translacional (LPCT), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
- Instituto de Pesquisa Clínica e Translacional (IPCT), Faculdade Zarns, Clariens Educação, Salvador, Brazil
| | - Bruno B. Andrade
- Curso de Medicina, Universidade Salvador (UNIFACS), Salvador, Brazil
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil
- Laboratório de Pesquisa Clínica e Translacional (LPCT), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
- Programa Pós-graduação de Clínica Médica. Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- Instituto de Pesquisa Clínica e Translacional (IPCT), Faculdade Zarns, Clariens Educação, Salvador, Brazil
- Division of Infectious Diseases & Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
- Escola Bahiana de Medicina e Saúde Pública (EBMSP), Salvador, Brazil
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Peng L, Ma R, Li Y, Cheng J. Mycobacterium gordoniasis of the cervical lymph nodes: A case report. World J Clin Cases 2024; 12:3995-4002. [PMID: 38994281 PMCID: PMC11235456 DOI: 10.12998/wjcc.v12.i19.3995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 04/26/2024] [Accepted: 05/22/2024] [Indexed: 06/29/2024] Open
Abstract
BACKGROUND Owing to the advancement in bacterial identification techniques, the detection rate of non-tuberculous mycobacterium (NTM) has been on the rise. Different from Mycobacterium tuberculosis, the clinical symptoms of NTM are not easily detected, and the clinical efficacy and prognosis are somewhat heterogeneous. To report a case of Mycobacterium gordoniasis of cervical lymph node diagnosed in Anhui Chest Hospital in July 2022. CASE SUMMARY Upon examination, the patient who weighed 67.5 kg, was human immunodeficiency virus negative, healthy, without hypertension, diabetes, heart disease and other basic diseases microscopic analysis revealed granulomatous inflammation with coagulation necrosis in the lymphocyte, and tuberculosis was not ruled out. Plain computed tomography scans of the neck and chest indicated the presence of a single grayish-yellow and grayish-brown tissue, the dimensions of which was top of form 10.5 cm × 3.0 cm × 1.5 cm. After pathological consultation in our hospital, the diagnosis was confirmed as NTM infection. CONCLUSION This case report and the clinical epidemiological research on improving NTM have important guiding significance for improving decision-making in clinical treatments.
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Affiliation(s)
- Ling Peng
- Department of Tuberculosis, Anhui Provincial Chest Hospital, Hefei 230022, Anhui Province, China
| | - Rong Ma
- Department of Tuberculosis, Anhui Provincial Chest Hospital, Hefei 230022, Anhui Province, China
| | - Yong Li
- Department of Tuberculosis, Anhui Provincial Chest Hospital, Hefei 230022, Anhui Province, China
| | - Jie Cheng
- Department of Tuberculosis, Anhui Provincial Chest Hospital, Hefei 230022, Anhui Province, China
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Chen X, Wang J, Wang J, Ye J, Di P, Dong C, Lei H, Wang C. Several Potential Serum Proteomic Biomarkers for Diagnosis of Osteoarticular Tuberculosis Based on Mass Spectrometry. Clin Chim Acta 2023:117447. [PMID: 37353136 DOI: 10.1016/j.cca.2023.117447] [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: 12/21/2022] [Revised: 06/12/2023] [Accepted: 06/13/2023] [Indexed: 06/25/2023]
Abstract
BACKGROUND Osteoarticular tuberculosis is one of the extrapulmonary tuberculosis (EPTB) diseases, which is mainly caused by infection of Mycobacterium tuberculosis (MTB) in bone and joints. The limitation of current clinical test methods is leading to a high misdiagnosis rate and affecting the treatment and prognosis. This study aims to search serum biomarkers that can assist in the diagnosis of osteoarticular tuberculosis. METHODS Proteomics can serve as an important method in the discovery of disease biomarkers. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used to analyze proteins in 90 serum samples, which were collected from June 2020 to December 2021, then evaluated by statistical analysis to screen potential biomarkers. After that, potential biomarkers were validated by ELISA and diagnostic models were also established for observation of multi-index diagnostic efficacy. RESULTS 118 differential expressed proteins (DEPs) were obtained in serum after statistical analysis. After the diagnostic efficacy evaluation and clinical verification, inter-alpha-trypsin inhibitor heavy chain H2 (ITIH2), complement factor H-related protein 2 (CFHR2), complement factor H-related protein 3 (CFHR3) and complement factor H-related protein 5 (CFHR5) were found as potential biomarkers, with 0.7167 (95%CI: 0.5846-0.8487), 0.8600 (95%CI: 0.7701-0.9499), 0.8150 (95%CI: 0.6998-0.9302), and 0.9978 (95%CI: 0.9918-1.0040) AUC value, respectively. The remaining DEPs except CFHR5 were constructed as diagnostic models, the diagnostic model contained CFHR2 and CFHR3 had good diagnostic efficacy with 0.942 (95%CI: 0.872-0.980) AUC value compared to other models. CONCLUSION This study provides a reference for the discovery of serum protein markers for osteoarticular tuberculosis diagnosis, and the screened DEPs can also provide directions for subsequent pathogenesis research.
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Affiliation(s)
- Ximeng Chen
- Medical School of Chinese PLA, No.28 Fuxing Road, Haidian District, Beijing, China; Department of Clinical Laboratory Medicine, The First Medical Center, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, China
| | - Jianan Wang
- Medical School of Chinese PLA, No.28 Fuxing Road, Haidian District, Beijing, China; Department of Clinical Laboratory Medicine, The First Medical Center, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, China
| | - Jinyang Wang
- Department of Clinical Laboratory Medicine, The First Medical Center, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, China
| | - Jingyun Ye
- Department of Clinical Laboratory Medicine, The First Medical Center, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, China
| | - Ping Di
- Department of Clinical Laboratory Medicine, The First Medical Center, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, China
| | - Chang Dong
- Department of Clinical Laboratory Medicine, The Eighth Medical Center, Chinese PLA General Hospital, No.17A Heishanhu Road, Haidian District, Beijing, China
| | - Hong Lei
- Department of Clinical Laboratory Medicine, The Eighth Medical Center, Chinese PLA General Hospital, No.17A Heishanhu Road, Haidian District, Beijing, China.
| | - Chengbin Wang
- Department of Clinical Laboratory Medicine, The First Medical Center, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, China.
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He YG, Huang YH, Yi XL, Qian KL, Wang Y, Cheng H, Hu J, Liu Y. Soft tissue tuberculosis detected by next-generation sequencing: A case report and review of literature. World J Clin Cases 2023; 11:709-718. [PMID: 36793633 PMCID: PMC9923867 DOI: 10.12998/wjcc.v11.i3.709] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 12/21/2022] [Accepted: 01/05/2023] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Soft tissue tuberculosis is rare and insidious, with most patients presenting with a localized enlarged mass or swelling, which may be factors associated with delayed diagnosis and treatment. In recent years, next-generation sequencing has rapidly evolved and has been successfully applied to numerous areas of basic and clinical research. A literature search revealed that the use of next-generation sequencing in the diagnosis of soft tissue tuberculosis has been rarely reported.
CASE SUMMARY A 44-year-old man presented with recurrent swelling and ulcers on the left thigh. Magnetic resonance imaging suggested a soft tissue abscess. The lesion was surgically removed and tissue biopsy and culture were performed; however, no organism growth was detected. Finally, Mycobacterium tuberculosis was confirmed as the pathogen responsible for infection through next-generation sequencing analysis of the surgical specimen. The patient received a standardized anti-tuberculosis treatment and showed clinical improvement. We also performed a literature review on soft tissue tuberculosis using studies published in the past 10 years.
CONCLUSION This case highlights the importance of next-generation sequencing for the early diagnosis of soft tissue tuberculosis, which can provide guidance for clinical treatment and improve prognosis.
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Affiliation(s)
- Yan-Gai He
- Department of Infectious Diseases, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Ya-Hui Huang
- Department of Infectious Diseases, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Xiao-Lan Yi
- Department of Infectious Diseases, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Kao-Liang Qian
- Department of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Ying Wang
- Department of Infectious Diseases, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Hui Cheng
- Department of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Jun Hu
- Department of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Yuan Liu
- Department of Infectious Diseases, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
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Huang Y, Ai L, Wang X, Sun Z, Wang F. Review and Updates on the Diagnosis of Tuberculosis. J Clin Med 2022; 11:jcm11195826. [PMID: 36233689 PMCID: PMC9570811 DOI: 10.3390/jcm11195826] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 09/27/2022] [Accepted: 09/27/2022] [Indexed: 11/05/2022] Open
Abstract
Diagnosis of tuberculosis, and especially the diagnosis of extrapulmonary tuberculosis, still faces challenges in clinical practice. There are several reasons for this. Methods based on the detection of Mycobacterium tuberculosis (Mtb) are insufficiently sensitive, methods based on the detection of Mtb-specific immune responses cannot always differentiate active disease from latent infection, and some of the serological markers of infection with Mtb are insufficiently specific to differentiate tuberculosis from other inflammatory diseases. New tools based on technologies such as flow cytometry, mass spectrometry, high-throughput sequencing, and artificial intelligence have the potential to solve this dilemma. The aim of this review was to provide an updated overview of current efforts to optimize classical diagnostic methods, as well as new molecular and other methodologies, for accurate diagnosis of patients with Mtb infection.
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Chen X, Ye J, Lei H, Wang C. Novel Potential Diagnostic Serum Biomarkers of Metabolomics in Osteoarticular Tuberculosis Patients: A Preliminary Study. Front Cell Infect Microbiol 2022; 12:827528. [PMID: 35402287 PMCID: PMC8992656 DOI: 10.3389/fcimb.2022.827528] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 01/21/2022] [Indexed: 11/17/2022] Open
Abstract
Osteoarticular tuberculosis is one of the extrapulmonary tuberculosis, which is mainly caused by direct infection of Mycobacterium tuberculosis or secondary infection of tuberculosis in other parts. Due to the low specificity of the current detection method, it is leading to a high misdiagnosis rate and subsequently affecting the follow-up treatment and prognosis. Metabolomics is mainly used to study the changes of the body’s metabolites in different states, so it can serve as an important means in the discovery of disease-related metabolic biomarkers and the corresponding mechanism research. Liquid chromatography tandem mass spectrometry (LC-MS/MS) was used to detect and analyze metabolites in the serum with osteoarticular tuberculosis patients, disease controls, and healthy controls to find novel metabolic biomarkers that could be used in the diagnosis of osteoarticular tuberculosis. Our results showed that 68 differential metabolites (p<0.05, fold change>1.0) were obtained in osteoarticular tuberculosis serum after statistical analysis. Then, through the evaluation of diagnostic efficacy, PC[o-16:1(9Z)/18:0], PC[20:4(8Z,11Z,14Z,17Z)/18:0], PC[18:0/22:5(4Z,7Z,10Z,13Z,16Z)], SM(d18:1/20:0), and SM[d18:1/18:1(11Z)] were found as potential biomarkers with high diagnostic efficacy. Using bioinformatics analysis, we further found that these metabolites share many lipid metabolic signaling pathways, such as choline metabolism, sphingolipid signaling, retrograde endocannabinoid signaling, and sphingolipid and glycerophospholipid metabolism; these results suggest that lipid metabolism plays an important role in the pathological process of tuberculosis. This study can provide certain reference value for the study of metabolic biomarkers of osteoarticular tuberculosis and the mechanism of lipid metabolism in osteoarticular tuberculosis and even other tuberculosis diseases.
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Affiliation(s)
- Ximeng Chen
- Medical School of Chinese People’s Liberation Army (PLA), Beijing, China
- Department of Clinical Laboratory Medicine, The First Medical Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Jingyun Ye
- Department of Clinical Laboratory Medicine, The First Medical Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Hong Lei
- Department of Clinical Laboratory Medicine, The Eighth Medical Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- *Correspondence: Chengbin Wang, ; Hong Lei,
| | - Chengbin Wang
- Department of Clinical Laboratory Medicine, The First Medical Center, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
- *Correspondence: Chengbin Wang, ; Hong Lei,
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Kumar G, Narayan R, Kapoor S. Chemical Tools for Illumination of Tuberculosis Biology, Virulence Mechanisms, and Diagnosis. J Med Chem 2020; 63:15308-15332. [PMID: 33307693 DOI: 10.1021/acs.jmedchem.0c01337] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Tuberculosis (TB) remains one of the deadliest infectious diseases and begs the scientific community to up the ante for research and exploration of completely novel therapeutic avenues. Chemical biology-inspired design of tunable chemical tools has aided in clinical diagnosis, facilitated discovery of therapeutics, and begun to enable investigation of virulence mechanisms at the host-pathogen interface of Mycobacterium tuberculosis. This Perspective highlights chemical tools specific to mycobacterial proteins and the cell lipid envelope that have furnished rapid and selective diagnostic strategies and provided unprecedented insights into the function of the mycobacterial proteome and lipidome. We discuss chemical tools that have enabled elucidating otherwise intractable biological processes by leveraging the unique lipid and metabolite repertoire of mycobacterial species. Some of these probes represent exciting starting points with the potential to illuminate poorly understood aspects of mycobacterial pathogenesis, particularly the host membrane-pathogen interactions.
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Affiliation(s)
- Gautam Kumar
- Department of Chemistry, Indian Institute of Technology Bombay, Mumbai 400 076, Maharashtra, India
| | - Rishikesh Narayan
- School of Chemical and Materials Sciences, Indian Institute of Technology Goa, Ponda 403 401, Goa, India
| | - Shobhna Kapoor
- Department of Chemistry, Indian Institute of Technology Bombay, Mumbai 400 076, Maharashtra, India.,Wadhwani Research Center for Bioengineering, Indian Institute of Technology Bombay, Mumbai 400 076, Maharashtra, India
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Abstract
Infections of the central nervous system cause significant morbidity and mortality in immunocompetent and immunocompromised individuals. A wide variety of microorganisms can cause infections, including bacteria, mycobacteria, fungi, viruses, and parasites. Although less invasive testing is preferred, surgical biopsy may be necessary to collect diagnostic tissue. Histologic findings, including special stains and immunohistochemistry, can provide a morphologic diagnosis in many cases, which can be further classified by molecular testing. Correlation of molecular, culture, and other laboratory results with histologic findings is essential for an accurate diagnosis, and to minimize false positives from microbial contamination.
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Affiliation(s)
- Isaac H Solomon
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA.
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Mu R, Kong C, Yu W, Wang H, Ma Y, Li X, Wu J, Somersan-Karakaya S, Li H, Sun Z, Liu G. Nitrooxidoreductase Rv2466c-Dependent Fluorescent Probe for Mycobacterium tuberculosis Diagnosis and Drug Susceptibility Testing. ACS Infect Dis 2019; 5:949-961. [PMID: 30916931 DOI: 10.1021/acsinfecdis.9b00006] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Firstly, this study demonstrated that natural product-inspired coumarin-based nitrofuranyl calanolides (NFCs) can form the Rv2466c-mycothiol (MSH)-NFC (RvMN) ternary complex via NFC binding to W21, N51, and Y61 of Rv2466c and be specifically reduced by Rv2466c, which is accompanied by the generation of a high level of fluorescence. Additionally, the results unveiled that the acetylated cysteine-glucosamine (AcCys-GlcN) motif of MSH is sufficient to interact with Rv2466c and adopt the active conformation that is essential for fully reducing NFCs. Further clinical translational investigation in this Article indicated that the novel fluorescent NFC probe can serve as a much needed high-throughput and low-cost detection method for detection of living Mycobacterium tuberculosis ( Mtb) and can precisely determine MIC values for a full range of available drugs. This method can greatly facilitate the development of phenotypic drug-susceptibility testing (pDST) that will allow the point-of-care treatment of tuberculosis (TB) within a week after diagnosis.
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Affiliation(s)
- Ran Mu
- School of Pharmaceutical Sciences, Tsinghua University, Haidian District, Beijing 100084, P. R. China
| | - Chengcheng Kong
- Beijing Key Laboratory in Drug Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, P. R. China
- Translational Medicine Center, Beijing Chest Hospital, Capital Medical University, Beijing 101149, P. R. China
| | - Wenjun Yu
- School of Pharmaceutical Sciences, Tsinghua University, Haidian District, Beijing 100084, P. R. China
| | - Hongyao Wang
- School of Pharmaceutical Sciences, Tsinghua University, Haidian District, Beijing 100084, P. R. China
| | - Yao Ma
- School of Pharmaceutical Sciences, Tsinghua University, Haidian District, Beijing 100084, P. R. China
| | - Xueyuan Li
- School of Pharmaceutical Sciences, Tsinghua University, Haidian District, Beijing 100084, P. R. China
| | - Jie Wu
- School of Pharmaceutical Sciences, Tsinghua University, Haidian District, Beijing 100084, P. R. China
| | - Selin Somersan-Karakaya
- Department of Medicine, Division of Infectious Diseases, Weill Cornell Medicine, 1300 York Avenue, New York, New York 10065, United States
| | - Haitao Li
- Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Haidian District, Beijing 100084, P. R. China
| | - Zhaogang Sun
- Beijing Key Laboratory in Drug Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, P. R. China
- Translational Medicine Center, Beijing Chest Hospital, Capital Medical University, Beijing 101149, P. R. China
| | - Gang Liu
- School of Pharmaceutical Sciences, Tsinghua University, Haidian District, Beijing 100084, P. R. China
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Fan L, Li D, Zhang S, Yao L, Hao X, Gu J, Li H, Niu J, Zhang Z, Zhu C. Parallel Tests Using Culture, Xpert MTB/RIF, and SAT-TB in Sputum Plus Bronchial Alveolar Lavage Fluid Significantly Increase Diagnostic Performance of Smear-Negative Pulmonary Tuberculosis. Front Microbiol 2018; 9:1107. [PMID: 29973917 PMCID: PMC6020777 DOI: 10.3389/fmicb.2018.01107] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Accepted: 05/08/2018] [Indexed: 11/18/2022] Open
Abstract
At present, tuberculosis remains a serious threat to human health. The diagnosis of pulmonary tuberculosis (PTB) is still difficult, and the prominent challenge for diagnosis is the lack of a highly sensitive and specific method. In order to explore the diagnostic value of parallel tests, this study prospectively enrolled 258 patients with smear-negative PTB from May 2, 2015 to December 31, 2016. The sputum specimens and bronchial alveolar lavage fluid (BALF) samples from all patients were assessed for MTB detection by culture, Xpert MTB/RIF, and simultaneous amplification and testing method for TB (SAT-TB). Overall, the sensitivity of any single test using culture, Xpert MTB/RIF, or SAT-TB was lower than that for parallel tests (p < 0.05), and the sensitivity rates for MTB detection in BALF were significantly higher than those in sputum samples. There were lower agreements in the detection results between sputum samples and BALF for all tests (p < 0.05). The parallel tests models of using culture plus Xpert MTB/RIF plus SAT-TB, culture plus Xpert, or culture plus SAT-TB achieved higher sensitivities compared with all three single test models (p < 0.05). Additionally, joint detection using sputum and BALF samples achieved a high sensitivity (0.8566, 95% CI: 0.8086–0.8941). In conclusion, the parallel tests model using culture, Xpert MTB/RIF, and SAT-TB in sputum plus BALF significantly increases the diagnostic performance of smear-negative PTB; thus, this method should be applied clinically when PTB is suspected but smear results are negative.
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Affiliation(s)
- Lin Fan
- Clinic and Research Center of Tuberculosis, Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Danfeng Li
- Department of Laboratory Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Shaojun Zhang
- Clinic and Research Center of Tuberculosis, Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Lan Yao
- Clinic and Research Center of Tuberculosis, Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xiaohui Hao
- Clinic and Research Center of Tuberculosis, Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jin Gu
- Clinic and Research Center of Tuberculosis, Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Hong Li
- Clinic and Research Center of Tuberculosis, Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jinxia Niu
- Department of Laboratory Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Zhemin Zhang
- Clinic and Research Center of Tuberculosis, Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Changtai Zhu
- Department of Laboratory Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
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Costa RRD, Silva SFD, Fochat RC, Macedo RL, Pereira TV, Silva MR, Pinto CPG, Leite ICG. Comparison between Ogawa-Kudoh and modified Petroff techniques for mycobacteria cultivation in the diagnosis of pulmonary tuberculosis. EINSTEIN-SAO PAULO 2018; 16:eAO4214. [PMID: 29898027 PMCID: PMC5995556 DOI: 10.1590/s1679-45082018ao4214] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2017] [Accepted: 01/17/2018] [Indexed: 11/22/2022] Open
Abstract
Objective To compare the performance of the Ogawa-Kudoh method with the modified Petroff technique in diagnosis of pulmonary tuberculosis. Methods A total of 205 sputum samples from 166 patients with clinical suspicion or under pulmonary tuberculosis follow-up, seen at a public tertiary care hospital, from July 2014 to July 2016 were used. All samples were simultaneously processed using the Ogawa-Kudoh and modified Petroff decontamination methods, according to the recommendations of the Ministry of Health. In the statistical analysis, the McNemar test and the Kappa index were used, respectively, to compare proportions and verify agreement between data. Results The Ogawa-Kudoh and modified Petroff methods were efficient in mycobacteria detection, with no significant differences in results (p=0.549) and contamination rate of the cultures (p=0.065). The agreement between techniques was considered excellent (Kappa index of 0.877) and Ogawa-Kudoh, as compared to the modified Petroff technique, showed sensitivity of 90.4%, specificity of 96.6%, positive predictive value of 94.3% and negative predictive value of 94.2%. Conclusion The Ogawa-Kudoh technique proved to be sufficiently sensitive and specific for diagnosis of pulmonary tuberculosis, and, therefore, suitable for routine laboratory application. Since it is simple, low-cost and has less technical requirements for biosafety and professional training, Ogawa-Kudoh is an alternative for managers and healthcare professionals to promote the expansion of bacteriological diagnostic coverage of pulmonary tuberculosis.
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Affiliation(s)
- Ronaldo Rodrigues da Costa
- Hospital Regional João Penido, Fundação Hospitalar do Estado de Minas Gerais,Juiz de Fora, MG, Brazil.,Hospital Universitário, Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil
| | | | - Romário Costa Fochat
- Hospital Universitário, Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil
| | - Raquel Leite Macedo
- Hospital Universitário, Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil
| | | | - Marcio Roberto Silva
- Empresa Brasileira de Pesquisa Agropecuária, Embrapa Gado de Leite, Juiz de Fora, MG, Brazil
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15
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Kaufmann SH, Weiner J, Maertzdorf J. Accelerating tuberculosis vaccine trials with diagnostic and prognostic biomarkers. Expert Rev Vaccines 2017; 16:845-853. [DOI: 10.1080/14760584.2017.1341316] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Stefan H.E. Kaufmann
- Department of Immunology, Max Planck Institute for Infection Biology, Berlin, Germany
| | - January Weiner
- Department of Immunology, Max Planck Institute for Infection Biology, Berlin, Germany
| | - Jeroen Maertzdorf
- Department of Immunology, Max Planck Institute for Infection Biology, Berlin, Germany
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