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Nyazema KB, Shey BA, Sei CJ, Peters RP, Maningi NE, Fischer GW, Bernard Fourie P. In vitro evaluation of the binding activity of novel mouse IgG1 opsonic monoclonal antibodies to Mycobacterium tuberculosis and other selected mycobacterial species. J Clin Tuberc Other Mycobact Dis 2024; 35:100435. [PMID: 38601919 PMCID: PMC11004620 DOI: 10.1016/j.jctube.2024.100435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/12/2024] Open
Abstract
Antimicrobial resistance alongside other challenges in tuberculosis (TB) therapeutics have stirred renewed interest in host-directed interventions, including the role of antibodies as adjunct therapeutic agents. This study assessed the binding efficacy of two novel IgG1 opsonic monoclonal antibodies (MABs; GG9 & JG7) at 5, 10, and 25 µg/mL to live cultures of Mycobacterium tuberculosis, M. avium, M. bovis, M. fortuitum, M. intracellulare, and M. smegmatis American Type Culture Collection laboratory reference strains, as well as clinical susceptible, multi-drug resistant, and extensively drug resistant M. tuberculosis strains using indirect enzyme-linked immunosorbent assays. These three MAB concentrations were selected from a range of concentrations used in previous optimization (binding and functional) assays. Both MABs bound to all mycobacterial species and sub-types tested, albeit to varying degrees. Statistically significant differences in MAB binding activity were observed when comparing the highest and lowest MAB concentrations (p < 0.05) for both MABs GG9 and JG7, irrespective of the M. tuberculosis resistance profile. Binding affinity increased with an increase in MAB concentration, and optimal binding was observed at 25 µg/mL. JG7 showed better binding activity than GG9. Both MABs also bound to five MOTT species, albeit at varied levels. This non-selective binding to different mycobacterial species suggests a potential role for GG9 and JG7 as adjunctive agents in anti-TB chemotherapy with the aim to enhance bacterial killing.
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Affiliation(s)
- Kudzai B. Nyazema
- Department of Medical Microbiology, Faculty of Health Sciences, University of Pretoria, South Africa
| | - Bong-Akee Shey
- Department of Medical Microbiology, Faculty of Health Sciences, University of Pretoria, South Africa
| | - Clara J. Sei
- Vaccine and Antibody Development, Longhorn Vaccines and Diagnostics, Gaithersburg, MD, USA
| | - Remco P.H. Peters
- Department of Medical Microbiology, Faculty of Health Sciences, University of Pretoria, South Africa
- Foundation for Professional Development, Research Unit, East London, South Africa
| | - Nontuthuko E. Maningi
- Department of Medical Microbiology, Faculty of Health Sciences, University of Pretoria, South Africa
- Department of Microbiology, School of Life Sciences, University of KwaZulu-Natal, South Africa
| | - Gerald W. Fischer
- Vaccine and Antibody Development, Longhorn Vaccines and Diagnostics, Gaithersburg, MD, USA
| | - P. Bernard Fourie
- Department of Medical Microbiology, Faculty of Health Sciences, University of Pretoria, South Africa
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Zhu Y, Liu Z, Peng L, Liu B, Wu K, Zhang M, Wang X, Pan J. Evaluation of nucleotide MALDI-TOF-MS for the identification of Mycobacterium species. Front Cell Infect Microbiol 2024; 14:1335104. [PMID: 38379773 PMCID: PMC10876993 DOI: 10.3389/fcimb.2024.1335104] [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: 11/08/2023] [Accepted: 01/22/2024] [Indexed: 02/22/2024] Open
Abstract
Background The accurate identification of the Mycobacterium tuberculosis complex (MTBC) and different nontuberculous mycobacteria (NTM) species is crucial for the timely diagnosis of NTM infections and for reducing poor prognoses. Nucleotide matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) has been extensively used for microbial identification with high accuracy and throughput. However, its efficacy for Mycobacterium species identification has been less studied. The objective of this study was to evaluate the performance of nucleotide MALDI-TOF-MS for Mycobacterium species identification. Methods A total of 933 clinical Mycobacterium isolates were preliminarily identified as NTM by the MPB64 test. These isolates were identified by nucleotide MALDI-TOF-MS and Sanger sequencing. The performance of nucleotide MALDI-TOF MS for identifying various Mycobacterium species was analyzed based on Sanger sequencing as the gold standard. Results The total correct detection rate of all 933 clinical Mycobacterium isolates using nucleotide MALDI-TOF-MS was 91.64% (855/933), and mixed infections were detected in 18.65% (174/933) of the samples. The correct detection rates for Mycobacterium intracellulare, Mycobacterium abscessus, Mycobacterium kansasii, Mycobacterium avium, MTBC, Mycobacterium gordonae, and Mycobacterium massiliense were 99.32% (585/589), 100% (86/86), 98.46% (64/65), 94.59% (35/37), 100.00% (34/34), 95.65% (22/23), and 100% (19/19), respectively. For the identification of the MTBC, M. intracellulare, M. abscessus, M. kansasii, M. avium, M. gordonae, and M. massiliense, nucleotide MALDI-TOF-MS and Sanger sequencing results were in good agreement (k > 0.7). Conclusion In conclusion, nucleotide MALDI-TOF-MS is a promising approach for identifying MTBC and the most common clinical NTM species.
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Affiliation(s)
- Yelei Zhu
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Zhengwei Liu
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Lina Peng
- Department of Service and Support, Agena Bioscience, Shanghai, China
| | - Bin Liu
- Department of Service and Support, Agena Bioscience, Shanghai, China
| | - Kunyang Wu
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Mingwu Zhang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Xiaomeng Wang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Junhang Pan
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
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Gao X, Li T, Han W, Xiong Y, Xu S, Ma H, Wang Q, Zhang Q, Yang G, Xie D, Jiang P, Wu H, Lin M, Liu M, Ni M, Wang D, Li Y, Jiao L, Ding C, Zhang Z. The positivity rates and drug resistance patterns of Mycobacterium tuberculosis using nucleotide MALDI-TOF MS assay among suspected tuberculosis patients in Shandong, China: a multi-center prospective study. Front Public Health 2024; 12:1322426. [PMID: 38304182 PMCID: PMC10830759 DOI: 10.3389/fpubh.2024.1322426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 01/08/2024] [Indexed: 02/03/2024] Open
Abstract
Objective To investigate the positivity rates and drug resistance characteristics of Mycobacterium tuberculosis (MTB) among suspected tuberculosis (TB) patients in Shandong Province, the second-largest population province in China. Methods A prospective, multi-center study was conducted from April 2022 to June 2023. Pathogen and drug resistance were identified using nucleotide matrix-assisted laser desorption ionization time-of-flight mass spectrometry (nucleotide MALDI-TOF MS). Results Of 940 suspected TB patients included in this study, 552 cases were found to be infected with MTB giving an overall positivity rate of 58.72%. Total of 346 cases were resistant to arbitrary anti-TB drug (62.68%), with Zibo (76.47%), Liaocheng and Weihai (both 69.23%) ranking top three and TB treatment history might be a related factor. Monoresistance was the most common pattern (33.53%), with isoniazid the highest at 12.43%, followed by rifampicin at 9.54%. Further analysis of gene mutations conferring resistance revealed diverse types with high heteroresistance rate found in multiple anti-TB drugs. Conclusion A relatively high rate of MTB positivity and drug resistance was found in Shandong Province during and after the COVID-19 pandemic, indicating the need for strengthening rapid identification of species and drug resistance among suspected TB patients to guide better medication and minimize the occurrence of drug resistance.
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Affiliation(s)
- Xusheng Gao
- Department of Tuberculosis, Shandong Public Health Clinical Center, Shandong University, Jinan, Shandong, China
| | - Tongxia Li
- Department of Tuberculosis, Qingdao Chest Hospital, Qingdao, Shandong, China
| | - Wenge Han
- Department of Tuberculosis, Weifang Second People's Hospital, Weifang, Shandong, China
| | - Yu Xiong
- Department of Tuberculosis, Shandong Public Health Clinical Center, Shandong University, Jinan, Shandong, China
| | - Shiyang Xu
- Department of Tuberculosis, Dezhou Second People's Hospital, Dezhou, Shandong, China
| | - Hongbao Ma
- Department of Tuberculosis, Yantai Pulmonary Hospital, Yantai, Shandong, China
| | - Qing Wang
- Department of Tuberculosis, Shandong Public Health Clinical Center, Shandong University, Jinan, Shandong, China
| | - Qiuxia Zhang
- Department of Internal Medicine, Zaozhuang Tumor Hospital, Zaozhuang, Shandong, China
| | - Guofeng Yang
- Department of Tuberculosis, Liaocheng Infectious Disease Hospital, Liaocheng, Shandong, China
| | - Dan Xie
- Department of Tuberculosis, Shandong Public Health Clinical Center, Shandong University, Jinan, Shandong, China
| | - Peipei Jiang
- Department of Tuberculosis, Shandong Public Health Clinical Center, Shandong University, Jinan, Shandong, China
| | - Hailiang Wu
- Department of Tuberculosis, Shandong Public Health Clinical Center, Shandong University, Jinan, Shandong, China
| | - Mei Lin
- Department of Tuberculosis, Qingdao Chest Hospital, Qingdao, Shandong, China
| | - Min Liu
- Department of Respiratory Medicine, Tai'an Tumor Prevention and Treatment Hospital, Tai'an, Shandong, China
| | - Mingde Ni
- Department of Tuberculosis, Linyi People's Hospital, Linyi, Shandong, China
| | - Decui Wang
- Department of Tuberculosis, Binzhou Central Hospital, Binzhou, Shandong, China
| | - Ying Li
- Department of Internal Medicine, Zibo First Hospital, Zibo, Shandong, China
| | - Lunxian Jiao
- Third Department of Respiratory Medicine, Yantai Beihai Hospital, Yantai, Shandong, China
| | - Caihong Ding
- Department of Tuberculosis, Shandong Public Health Clinical Center, Shandong University, Jinan, Shandong, China
| | - Zhongfa Zhang
- Respiratory Center, Shandong Public Health Clinical Center, Shandong University, Jinan, Shandong, China
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Kaewseekhao B, Sirichoat A, Roytrakul S, Yingchutrakul Y, Reechaipichitkul W, Faksri K. Serum proteomics analysis for differentiation among Mycobacterium tuberculosis infection categories. Tuberculosis (Edinb) 2023; 141:102366. [PMID: 37379738 DOI: 10.1016/j.tube.2023.102366] [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: 02/01/2023] [Revised: 05/28/2023] [Accepted: 06/20/2023] [Indexed: 06/30/2023]
Abstract
Inhalation of Mycobacterium tuberculosis (Mtb) bacilli can lead to a range of TB categories including early clearance (EC), latent TB infection (LTBI) and active TB (ATB). There are few biomarkers available to differentiate among these TB categories: effective new biomarkers are badly needed. Here, we analyzed the serum proteins from 26 ATB cases, 20 LTBI cases, 34 EC cases and 38 healthy controls (HC) using label-free LC-MS/MS. The results were analyzed using MaxQuant software and matched to three different bacterial proteomics databases, including Mtb, Mycobacterium spp. and normal lung flora. PCA of protein candidates using the three proteomics databases revealed 44.5% differentiation power to differentiate among four TB categories. There were 289 proteins that showed potential for distinguishing between each pair of groups among TB categories. There were 50 candidate protein markers specifically found in ATB and LTBI but not in HC and EC groups. Decision trees using the top five candidate biomarkers (A0A1A2RWZ9, A0A1A3FMY8, A0A1A3KIY2, A0A5C7MJH5 and A0A1X0XYR3) had 92.31% accuracy to differentiate among TB categories and the accuracy was increased to 100% when using 10 candidate biomarkers. Our study shows that proteins expressed from Mycobacterium spp. have the potential to be used to differentiate among TB categories.
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Affiliation(s)
- Benjawan Kaewseekhao
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand
| | - Auttawit Sirichoat
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand
| | - Sittiruk Roytrakul
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand
| | - Yodying Yingchutrakul
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand
| | - Wipa Reechaipichitkul
- Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand; Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Kiatichai Faksri
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand.
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Wang J, Chen Z, Xu Y, Qiu W, Chen S, Pei H, Zhong Y. Screening and Drug Resistance Analysis of Non-Tuberculous Mycobacteria in Patients with Suspected Pulmonary Tuberculosis on the Hainan Island, China. Infect Drug Resist 2023; 16:463-476. [PMID: 36721630 PMCID: PMC9884444 DOI: 10.2147/idr.s396050] [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: 11/11/2022] [Accepted: 01/16/2023] [Indexed: 01/26/2023] Open
Abstract
Background China has seen a drastic increase in the incidence of non-tuberculous mycobacteria (NTM) infection, which is a notable public health issue. Due to a lack of reliable epidemiological surveillance information, there is a need to gather accurate epidemiological and surveillance data, which can help clinicians effectively treat NTM patients. Moreover, drug susceptibility testing for NTM is not frequently performed in China. This retrospective study, therefore, determined the prevalence and resistance characteristics of NTM to provide a reference to control the NTM epidemic. Methods Sputum, alveolar lavage fluid, and other respiratory specimens were collected from 3025 patients with suspected pulmonary tuberculosis attending The Second Affiliated Hospital of Hainan Medical University from January 2014 to December 2021. Strain identification and species distribution of NTM were performed by DNA chip technology and gene sequencing, and the drug resistance of NTM isolates was evaluated by calculating the minimum inhibitory concentration through antimicrobial susceptibility testing for NTM. Results From 2014 to 2021, 373 strains of NTM were isolated and identified from respiratory specimens of 3025 suspected tuberculosis patients. Except in 2014, NTM-infected patients accounted for more than 10% of suspected tuberculosis patients in other years. The median age of patients with NTM infection was 62.0 years (53.0, 71.0), and the male-to-female ratio among these patients was 0.79:1. Among culture-positive strains, 12.3% (373/3040; 95% CI 11.1-13.4%) were identified as NTM comprising forty species of NTM. The forty species of NTM included 23 slow-growing mycobacteria (SGM) and 17 rapidly-growing mycobacteria (RGM). Among the NTM isolates, 58.7% (219/373; 95% CI 53.7-63.7%) were SGM and 41.3% (154/373; 95% CI 36.3-46.3%) were RGM. M.avium complex(MAC)(41.3%; 95% CI 36.3-46.3%) and M.abscessus complex (MABC)(33.2%; 95% CI 28.4-38.0%) were the most frequently detected species, followed by M.simiae Complex (11.8%; 95% CI 8.5-15.1%), M.fortuitum group (5.1%; 95% CI 2.9-7.3%), and others. Drug sensitivity test results showed that most of the NTM isolates were susceptible to amikacin and clarithromycin with a drug resistance rate of less than 10%. However, clarithromycin could induce drug resistance, followed by linezolid and moxifloxacin, and their drug resistance rate was less than 50%. Conclusion During 2014-2021, the number of NTM isolates detected in the respiratory specimens of the study patients in The Second Affiliated Hospital of Hainan Medical University increased year by year. M. intracellulare is the most common pathogenic NTM species, and there is a high incidence of NTM infection on Hainan Island. Our findings might be of great importance for diagnosing and treating this patient population in Hainan.
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Affiliation(s)
- Jieying Wang
- Department of Clinical Laboratory, The Second Affiliated Hospital of Hainan Medical University, Haikou, People’s Republic of China
| | - Zhuolin Chen
- Department of Clinical Laboratory, The Second Affiliated Hospital of Hainan Medical University, Haikou, People’s Republic of China
| | - Yuni Xu
- Department of Clinical Laboratory, The Second Affiliated Hospital of Hainan Medical University, Haikou, People’s Republic of China
| | - Wenhua Qiu
- Department of Clinical Laboratory, The Second Affiliated Hospital of Hainan Medical University, Haikou, People’s Republic of China
| | - Shaowen Chen
- Department of Clinical Laboratory, The Second Affiliated Hospital of Hainan Medical University, Haikou, People’s Republic of China
| | - Hua Pei
- Department of Clinical Laboratory, The Second Affiliated Hospital of Hainan Medical University, Haikou, People’s Republic of China
| | - Yeteng Zhong
- Department of Clinical Laboratory, The Second Affiliated Hospital of Hainan Medical University, Haikou, People’s Republic of China,Correspondence: Yeteng Zhong; Hua Pei, Department of Clinical Laboratory, The Second Affiliated Hospital of Hainan Medical University, Haikou, People’s Republic of China, Email ;
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Almatroudi A. Non-Coding RNAs in Tuberculosis Epidemiology: Platforms and Approaches for Investigating the Genome's Dark Matter. Int J Mol Sci 2022; 23:4430. [PMID: 35457250 PMCID: PMC9024992 DOI: 10.3390/ijms23084430] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 04/05/2022] [Accepted: 04/14/2022] [Indexed: 02/07/2023] Open
Abstract
A growing amount of information about the different types, functions, and roles played by non-coding RNAs (ncRNAs) is becoming available, as more and more research is done. ncRNAs have been identified as potential therapeutic targets in the treatment of tuberculosis (TB), because they may be essential regulators of the gene network. ncRNA profiling and sequencing has recently revealed significant dysregulation in tuberculosis, primarily due to aberrant processes of ncRNA synthesis, including amplification, deletion, improper epigenetic regulation, or abnormal transcription. Despite the fact that ncRNAs may have a role in TB characteristics, the detailed mechanisms behind these occurrences are still unknown. The dark matter of the genome can only be explored through the development of cutting-edge bioinformatics and molecular technologies. In this review, ncRNAs' synthesis and functions are discussed in detail, with an emphasis on the potential role of ncRNAs in tuberculosis. We also focus on current platforms, experimental strategies, and computational analyses to explore ncRNAs in TB. Finally, a viewpoint is presented on the key challenges and novel techniques for the future and for a wide-ranging therapeutic application of ncRNAs.
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Affiliation(s)
- Ahmad Almatroudi
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia
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