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Ranganathan A, Carmelin DS, Muthusamy R. Polymerase Chain Reaction (PCR) Profiling of Extensively Drug-Resistant (XDR) Pathogenic Bacteria in Pulmonary Tuberculosis Patients. Cureus 2024; 16:e61424. [PMID: 38953074 PMCID: PMC11215026 DOI: 10.7759/cureus.61424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Accepted: 05/31/2024] [Indexed: 07/03/2024] Open
Abstract
Introduction Pulmonary tuberculosis (TB) remains a global health concern, exacerbated by the emergence of extensively drug-resistant (XDR) strains of Mycobacterium tuberculosis. This study employs advanced molecular techniques, specifically polymerase chain reaction (PCR) profiling, to comprehensively characterize the genetic landscape of XDR pathogenic bacteria in patients diagnosed with pulmonary TB. The objective of the study is to elucidate the genes that are associated with drug resistance in pulmonary TB strains through the application of PCR and analyze specific genetic loci that contribute to the development of resistance against multiple drugs. Materials and methods A total of 116 clinical samples suspected of TB were collected from the tertiary healthcare setting of Saveetha Medical College and Hospitals for the identification of MTB, which includes sputum (n = 35), nasal swabs (n = 17), blood (n = 44), and bronchoalveolar lavage (BAL) (n = 20). The collected specimens were processed and subjected to DNA extraction. As per the protocol, reconstitution of the DNA pellet was carried out. The reconstituted DNA was stored at -20 °C for the PCR assay. From the obtained positive sample specimens, XDR pulmonary TB specimens were focused on the targeted genes, specifically the rpoB gene for rifampicin resistance, inhA, and katG gene for thepromoter region for isoniazid resistance. Results Out of a total of 116 samples obtained, 53 tested positive for pulmonary TB, indicative of a mycobacterial infection. Among these positive cases, 43 patients underwent treatment at a tertiary healthcare facility. Subsequently, a PCR assay was performed with the extracted DNA for the target genes rpoB, inhA, and katG. Specifically, 22 sputum samples exhibited gene expression for rpoB, inhA, and katG, while nine nasal swabs showed expression of the rpoB and inhA genes. Additionally, rpoB gene expression was detected in seven blood specimens, and both rpoB and inhA genes were expressed in five BAL samples. Conclusion The swift diagnosis and efficient treatment of XDR-TB can be facilitated by employing advanced and rapid molecular tests and oral medication regimens. Utilizing both newly developed and repurposed anti-TB drugs like pretomanid, bedaquiline, linezolid, and ethionamide. Adhering to these current recommendations holds promise for managing XDR-TB effectively. Nevertheless, it is significant to conduct well-designed clinical trials and studies to further evaluate the efficacy of new agents and shorter treatment regimens, thus ensuring continuous improvement in the management of this challenging condition.
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Affiliation(s)
- Avantika Ranganathan
- Center for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, IND
| | - Durai Singh Carmelin
- Center for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, IND
| | - Raman Muthusamy
- Center for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, IND
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Yu X, Jiang S, Li Y, Zhou H, Wei Y, Li X, Zhang Y, Hu P, Wu H, Wang H, Wu S, Zhang S. Development of a new cellular immunological detection method for tuberculosis based on HupB protein induced IL-6 release test. Front Microbiol 2023; 14:1148503. [PMID: 37077246 PMCID: PMC10106748 DOI: 10.3389/fmicb.2023.1148503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 03/14/2023] [Indexed: 04/05/2023] Open
Abstract
ObjectiveAs a virulence factor, HupB plays important roles in the survival of MTB after infection and modulates the host immune response. In the current study, we aim to explore a new cellular immunological detection method for tuberculosis infection detection based on HupB protein.MethodsHupB was used to stimulate PBMCs extracted from pulmonary tuberculosis (PTB) patients, and secreted cytokines was examined. Then, we constructed a single center and a multi-center clinical trials to collect PBMCs from PTB patients, nPTB patients, or healthy volunteers to verify our findings.ResultsCytokine’s screening illustrated that IL-6 was the only cytokine released after HupB stimulation. Single-center and multi-center clinical trials showed that HupB stimulation significantly increased the level of IL-6 in the supernatant of PBMCs from PTB patients. Then we compared the specificity and sensitivity of HupB induced IL-6 release assay with ESAT-6 and CFP10 induced interferon γ release assay (IGRA), and found in smear positive PTB patients, the specificity and sensitivity of HupB induced IL-6 release assay was better than IGRA, and in smear negative PTB patients, the sensitivity was better. Combination of both assays provided an improved specificity and sensitivity for tuberculosis diagnosis.ConclusionThis study explored an immunological detection method for tuberculosis infection cells based on HupB protein-induced IL-6 release test, which can be used to enhance the diagnosis diagnostic accuracy of TB.
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Affiliation(s)
- Xiaoli Yu
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan, China
| | - Shengsheng Jiang
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan, China
| | - Yang Li
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan, China
| | - Huaiheng Zhou
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan, China
| | - Yutong Wei
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan, China
| | - Xuefang Li
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan, China
| | - Ye Zhang
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan, China
| | - Peng Hu
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan, China
| | - Haoming Wu
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan, China
| | - Hualin Wang
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan, China
- *Correspondence: Hualin Wang,
| | - Shimin Wu
- Center for Clinical Laboratory, General Hospital of the Yangtze River Shipping, Wuhan Brain Hospital, Wuhan, China
- Shimin Wu,
| | - Shulin Zhang
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan, China
- Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shulin Zhang,
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Yang H, Li A, Dang L, Kang T, Ren F, Ma J, Zhou Y, Yang Y, Lei J, Zhang T. A rapid, accurate, and low-cost method for detecting Mycobacterium tuberculosis and its drug-resistant genes in pulmonary tuberculosis: Applications of MassARRAY DNA mass spectrometry. Front Microbiol 2023; 14:1093745. [PMID: 36910195 PMCID: PMC9996023 DOI: 10.3389/fmicb.2023.1093745] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 02/08/2023] [Indexed: 02/25/2023] Open
Abstract
Introduction Mycobacterium tuberculosis (MTB) identification and drug resistance diagnosis are very important for treatment of drug-resistant tuberculosis (DR-TB). Therefore, high throughput, accurate and low-cost molecular detection techniques are urgently needed. This study aimed to evaluate the clinical application value of MassARRAY in tuberculosis diagnosis and drug resistance screening. Methods The limit of detection (LOD) and clinical application value of MassARRAY were evaluated using reference strains and clinical isolates. MTB in bronchoalveolar lavage fluid (BALF) and sputum samples were detected using MassARRAY, quantitative real-time polymerase chain reaction (qPCR) and MGIT960 liquid culture (culture). Using culture as the standard, the efficacy of MassARRAY and qPCR for the detection of TB was analyzed. Mutation of drug resistance genes in MTB clinical isolates was tested using MassARRAY, high-resolution melting curve (HRM), and Sanger sequencing. Using sequencing as the standard, the efficacy of MassARRAY, and HRM for the detection of each drug resistance site of MTB was analyzed. Simultaneously, the mutation of drug resistance genes by the MassARRAY method was compared with the results of drug susceptibility testing (DST), and the genotype-phenotype relationship was analyzed. The ability of MassARRAY to discriminate mixed infections was detected using mixtures of standard strains (M. tuberculosis H37Rv) and drug-resistant clinical isolates and mixtures of wild-type and mutant plasmids. Results In MassARRAY, 20 related gene mutations could be detected by two PCR systems. All genes could be accurately detected when the bacterial load was 104 CFU/mL. When the load of wild-type and drug-resistant MTB mixture was 105 CFU/mL (respectively reached 104 CFU/mL), variants and wild-type genes could be detected simultaneously. The sensitivity of MassARRAY (96.9%) for identification was higher than that of qPCR (87.5%) (p < 0.001). The sensitivity and specificity of MassARRAY for all drug resistance gene mutations were 100.0%, with higher accuracy and consistency than HRM (sensitivity = 89.3% and specificity = 96.9%, p = 0.001). Analyzing the relationship between MassARRAY genotype and DST phenotype, the accuracy of katG_315, rpoB_531, rpsL_43, rpsL_88, and rrs_513 sites was 100.0%, and embB_306 and rpoB_526 were inconsistent with the DST results when the base changes were different. Discussion MassARRAY can obtain base mutation information and identify heteroresistance infections simultaneously when the mutant proportion was at least 5-25%. It has good application prospects in the diagnosis of DR-TB with high throughput, accurate and low-cost.
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Affiliation(s)
- Han Yang
- College of Pharmacy, Xi'an Jiaotong University, Xi'an, China.,Medical Transformation Centre, Xi'an Chest Hospital, Xi 'an Jiaotong University Health Science Center, Xi'an, China
| | - Aifang Li
- Department of Laboratory Medicine, Xi'an Chest Hospital, Xi 'an Jiaotong University Health Science Center, Xi'an, China
| | - Liyun Dang
- Department of Tuberculosis, Xi'an Chest Hospital, Xi 'an Jiaotong University Health Science Center, Xi'an, China
| | - Tao Kang
- Department of Reagent, Zhejiang Digena Diagnosis Technology CO., LTD, Zhejiang, China
| | - Fei Ren
- Department of Tuberculosis, Xi'an Chest Hospital, Xi 'an Jiaotong University Health Science Center, Xi'an, China
| | - Jinbao Ma
- Department of Tuberculosis, Xi'an Chest Hospital, Xi 'an Jiaotong University Health Science Center, Xi'an, China
| | - Yong Zhou
- Endoscopy Clinic Centre, Xi'an Chest Hospital, Xi 'an Jiaotong University Health Science Center, Xi'an, China
| | - Yuanli Yang
- Department of Tuberculosis, Xi'an Chest Hospital, Xi 'an Jiaotong University Health Science Center, Xi'an, China
| | - Jing Lei
- Department of Laboratory Medicine, Xi'an Chest Hospital, Xi 'an Jiaotong University Health Science Center, Xi'an, China
| | - Tao Zhang
- College of Pharmacy, Xi'an Jiaotong University, Xi'an, China
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Wei Z, Zhang X, Wei C, Yao L, Li Y, Zhang X, Xu H, Jia Y, Guo R, Wu Y, Yang K, Gao X. Diagnostic accuracy of in-house real-time PCR assay for Mycobacterium tuberculosis: a systematic review and meta-analysis. BMC Infect Dis 2019; 19:701. [PMID: 31395014 PMCID: PMC6686366 DOI: 10.1186/s12879-019-4273-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2017] [Accepted: 07/10/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND In recent years, studies on the diagnostic accuracy of in-house real-time PCR (hRT-PCR) assay for the detection of Mycobacterium tuberculosis (Mtb) have been reported with unignorable discrepancies. To assess the overall accuracy of the hRT-PCR assay for Mtb diagnosis in different samples for individuals with active pulmonary and extra-pulmonary Mtb infection, a systematic review and meta-analysis were performed. METHODS The PUBMED, EMBASE, Web of Science, and Cochrane databases were searched up to June 2017 for eligible studies that estimated diagnostic sensitivity and specificity with the hRT-PCR assay in respiratory and non-respiratory samples in pulmonary and extra-pulmonary Mtb infection patients, with Mtb culture as the reference standard. Bivariate random effect models were used to provide pooled estimation of diagnostic accuracy. Further, subgroup and meta-regression analyses were performed to explore sources of heterogeneity. The risk of bias was assessed by the QUADAS-2 tool. RESULTS Of the 3589 candidate studies, 18 eligible studies met our inclusion criteria. Compared to Mtb culture data, the pooled sensitivity and specificity were 0.96 and 0.92, respectively. The diagnostic odds ratio (DOR) was 192.96 (95% CI 68.46, 543.90), and the area under the summary ROC curve (AUC) was 0.9791. There was significant heterogeneity in sensitivity and specificity among the enrolled studies (p < 0.001). The studies with high-quality assessment and application of respiratory specimen were associated with better accuracy. CONCLUSIONS In low-income/high-burden settings, our results suggested that the hRT-PCR assay could be a useful test for the diagnosis of TB with high sensitivity and specificity.
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Affiliation(s)
- Zhenhong Wei
- Blood Transfusion Department, Gansu Provincial Hospital, Lanzhou, 730000, Gansu, China
| | - Xiaoping Zhang
- Blood Transfusion Department, Gansu Provincial Hospital, Lanzhou, 730000, Gansu, China
| | - Chaojun Wei
- The Institute of Clinical Research and Translational Medicine, Gansu Provincial Hospital, No. 204, Donggang street, Chengguan district, Lanzhou, 730000, Gansu, China
| | - Liang Yao
- The Institute of Clinical Study and Evidence-Based Medicine, Gansu Provincial Hospital, Lanzhou, 730000, Gansu, China.,Evidence-Based Medicine Center and Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, College of Basic Medicine, Lanzhou University, No. 199, Donggang street, Chengguan district, Lanzhou, 73000, Gansu, China
| | - Yonghong Li
- The Institute of Clinical Research and Translational Medicine, Gansu Provincial Hospital, No. 204, Donggang street, Chengguan district, Lanzhou, 730000, Gansu, China
| | - Xiaojing Zhang
- Blood Transfusion Department, Gansu Provincial Hospital, Lanzhou, 730000, Gansu, China
| | - Hui Xu
- The Institute of Clinical Research and Translational Medicine, Gansu Provincial Hospital, No. 204, Donggang street, Chengguan district, Lanzhou, 730000, Gansu, China
| | - Yanjuan Jia
- The Institute of Clinical Research and Translational Medicine, Gansu Provincial Hospital, No. 204, Donggang street, Chengguan district, Lanzhou, 730000, Gansu, China
| | - Rui Guo
- The Institute of Clinical Research and Translational Medicine, Gansu Provincial Hospital, No. 204, Donggang street, Chengguan district, Lanzhou, 730000, Gansu, China
| | - Yu Wu
- The Institute of Clinical Research and Translational Medicine, Gansu Provincial Hospital, No. 204, Donggang street, Chengguan district, Lanzhou, 730000, Gansu, China
| | - Kehu Yang
- The Institute of Clinical Study and Evidence-Based Medicine, Gansu Provincial Hospital, Lanzhou, 730000, Gansu, China. .,Evidence-Based Medicine Center and Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, College of Basic Medicine, Lanzhou University, No. 199, Donggang street, Chengguan district, Lanzhou, 73000, Gansu, China.
| | - Xiaoling Gao
- The Institute of Clinical Research and Translational Medicine, Gansu Provincial Hospital, No. 204, Donggang street, Chengguan district, Lanzhou, 730000, Gansu, China.
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