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Zhao K, Wei W, Yang L, Chen W, Liang H, Jin Y, Sun Y, Xu J, Yu Y. Reliability of Matrix-Assisted Laser Desorption-Ionisation Time-of-Flight Mass Spectrometry as a Method for Drug-Resistant Tuberculosis Gene Identification. Clin Exp Pharmacol Physiol 2025; 52:e70038. [PMID: 40275556 DOI: 10.1111/1440-1681.70038] [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: 01/10/2025] [Revised: 03/11/2025] [Accepted: 03/18/2025] [Indexed: 04/26/2025]
Abstract
Instances of drug-resistant tuberculosis (TB), particularly multidrug- and extensive drug-resistant TB, are escalating worldwide; therefore, there is an urgent need to explore suitable treatment strategies. This study assessed the precision of matrix-assisted laser desorption-ionisation time-of-flight mass spectrometry (MALDI-TOF MS) in detecting drug-resistant TB. We developed a multiplex MALDI-TOF MS detection assay that concurrently identifies 51 gene mutations for six commonly used medications: rifampicin (RFP), isoniazid (INH), levofloxacin (LVX), moxifloxacin (MOX), capreomycin (CPM) and amikacin (AMK). Subsequently, we evaluated the accuracy of the system by testing clinical sputum samples with known (n = 45) and unknown (n = 254) minimum inhibitory concentrations (MICs), using Sanger-sequenced genes as references. The detection system exhibited a minimum sensitivity of 88.00% and a specificity of 95.24% for the 45 known isolates. Similarly, for the 254 unknown samples, the detection system demonstrated sensitivity and specificity for mutations associated with each medication as follows: RFP-sensitivity: 98.97%, specificity: 99.36%; INH-sensitivity: 97.80%, specificity: 100.00%; LVX and MOX-sensitivity: 97.14%, specificity: 100.00%; AMK and CPM-sensitivity: 100.00%, specificity: 100.00%. The unknown samples also displayed favourable sensitivity and specificity values in the MIC validation as follows: RFP-sensitivity: 92.39%, specificity: 92.59%; INH-sensitivity: 75.21%, specificity: 99.27%; LVX-sensitivity: 75.28%, specificity: 99.39%; MOX-sensitivity: 73.24%, specificity: 91.26%; AMK-sensitivity: 94.87%, specificity: 96.74%; CPM-sensitivity: 89.47%, specificity: 95.83%. Meanwhile, our study allows for the identification of the Mycobacterium tuberculosis complex (MTBC). The MALDI-TOF MS exhibited remarkable accuracy in the detection of drug-resistant TB, making it a potential alternative approach for clinical TB diagnosis.
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Affiliation(s)
- Kaishun Zhao
- Department of Pulmonary and Critical Care Medicine, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, Shanghai, China
| | - Wei Wei
- Department of Pulmonary and Critical Care Medicine, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, Shanghai, China
| | - Lijia Yang
- Department of Pulmonary and Critical Care Medicine, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, Shanghai, China
| | - Wei Chen
- Department of Lung, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, Shanghai, China
| | - Haiying Liang
- Department of Lung, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, Shanghai, China
| | - Ye Jin
- Department of Lung, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, Shanghai, China
| | - Yameng Sun
- Shanghai Baichuangyi Biotechnology Co., Ltd., Shanghai, China
| | - Jun Xu
- Shanghai Baichuangyi Biotechnology Co., Ltd., Shanghai, China
| | - Yanfang Yu
- Department of Pulmonary and Critical Care Medicine, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, Shanghai, China
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Jiemsup S, Lunha K, Chumpol W, Meekhanon N, Kerdsin A, Yongkiettrakul S. Development of a high-throughput MassARRAY-based single assay for the characterization of Streptococcus suis species and serotypes. Sci Rep 2025; 15:7822. [PMID: 40050386 PMCID: PMC11885608 DOI: 10.1038/s41598-025-92524-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2024] [Accepted: 02/28/2025] [Indexed: 03/09/2025] Open
Abstract
Streptococcus suis is a significant porcine pathogen and zoonotic agent responsible for infectious diseases in humans worldwide. It is classified into 29 serotypes, each with varying geographical prevalence and pathogenicity. Hence, serotyping of S. suis is crucial for active surveillance, outbreak monitoring, and infection control. This study developed a novel MassARRAY-based single assay to simultaneously identify S. suis species and differentiate all 29 serotypes. The assay targeted glutamate dehydrogenase (gdh) and recombination/repair protein (recN) for species identification, and capsular polysaccharide (cps) genes for serotyping. Based on single nucleotide polymorphisms (SNPs) at position 483 of cpsK gene, the assay accurately distinguished between two pairs of serotypes: ½ and 2, as well as 1 and 14. The assay, validated with genomic DNA from 105 whole-genome sequencing (WGS)-confirmed isolates, demonstrated 100% specificity and sensitivity for both species identification and serotyping. In the evaluation with 143 field isolates, the results demonstrated perfect agreement between the MassARRAY-based assay and WGS for species identification, with 100% sensitivity and specificity, and for serotyping, with 99.15% sensitivity and 100% specificity (κ-value = 0.98). The agreement between WGS-based serotyping and multiplex PCR serotyping was substantial (κ = 0.65). Moreover, the results showed that the limit of detection for both species and serotypes ranged from 1 to 10 pg of gDNA per reaction.
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Affiliation(s)
- Surasak Jiemsup
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Phahonyothin Road, Khlong Luang, Pathum Thani, 12120, Thailand.
| | - Kamonwan Lunha
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Phahonyothin Road, Khlong Luang, Pathum Thani, 12120, Thailand
| | - Wiyada Chumpol
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Phahonyothin Road, Khlong Luang, Pathum Thani, 12120, Thailand
| | - Nattakan Meekhanon
- Department of Veterinary Nursing, Faculty of Veterinary Technology, Kasetsart University, Bangkok, 10900, Thailand
| | - Anusak Kerdsin
- Faculty of Public Health, Kasetsart University Chalermphrakiat Sakon Nakhon Province Campus, Sakon Nakhon, 47000, Thailand
| | - Suganya Yongkiettrakul
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Phahonyothin Road, Khlong Luang, Pathum Thani, 12120, Thailand.
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Ren F, Ma J, Dang L, Li A, Zhao G, Qi Y, Xu Y, Yang H, Li J. Potential of nanopore sequencing for tuberculosis diagnosis and drug resistance detection. BMC Infect Dis 2024; 24:1469. [PMID: 39731145 DOI: 10.1186/s12879-024-10378-0] [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: 08/25/2024] [Accepted: 12/19/2024] [Indexed: 12/29/2024] Open
Abstract
OBJECTIVES This study evaluates the effectiveness of nanopore sequencing for accurate detection of Mycobacterium tuberculosis pathogens and drug resistance mutations in clinical specimens. METHODS A retrospective analysis of 2,421 specimens from suspected tuberculosis patients admitted to Xi'an Chest Hospital from 2022 to 2023 was conducted, with 131 specimens undergoing via real-time, fluorescence-based quantitative Polymerase Chain Reaction (qPCR), simultaneous amplification and testing RNA (RNA), Mycobacterium culture, Mycobacterium smear, and nanopore sequencing. Employing clinical tuberculosis diagnoses as the gold standard, sensitivity, specificity, positive predictive value, negative predictive value, concordance rate, and Kappa coefficient were measured for the five detection techniques. We compared nanopore sequencing with the Melting Curve method to detect drug-resistant gene mutations. RESULTS Nanopore sequencing has a significantly higher sensitivity (0.786) for tuberculosis diagnosis compared to qPCR (0.411), RNA (0.411), Mycobacterium culture (0.402), and Mycobacterium smear (0.241), against the gold-standard clinical diagnosis. It also exhibited a greater concordance rate (0.809) and Kappa coefficient (0.488), and outperformed the other methods in terms of the area under the ROC curve. Nanopore sequencing surpassed the Melting Curve method in identifying drug-resistant mutations. CONCLUSION Nanopore sequencing significantly enhances the detection of tuberculosis pathogens and drug-resistant genes.
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Affiliation(s)
- Fei Ren
- Department of Drug-Resistance Tuberculosis, Xi'an Chest Hospital, Xi'an, China
| | - JinBao Ma
- Department of Drug-Resistance Tuberculosis, Xi'an Chest Hospital, Xi'an, China
| | - LiYun Dang
- Department of Drug-Resistance Tuberculosis, Xi'an Chest Hospital, Xi'an, China
| | - AiFang Li
- Department of Clinical Laboratory, Xi'an Chest Hospital, Xi'an, Shaanxi Province, China
| | - GuoLian Zhao
- Department of Clinical Laboratory, Xi'an Chest Hospital, Xi'an, Shaanxi Province, China
| | - Yun Qi
- Department of Gynecology and Pediatric Tuberculosis, Xi'an Chest Hospital, Xi'an, Shaanxi Province, China
| | - You Xu
- Department of Drug-Resistance Tuberculosis, Xi'an Chest Hospital, Xi'an, China
| | - Han Yang
- Medical Transformation Centre, Xi'an Chest Hospital, Yanta District, Xi'an, Shaanxi Province, China.
| | - JianYing Li
- Xi'an Chest Hospital, Xi'an, Shaanxi Province, China
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DeCurtis EK, Machado I, Kuss-Duerkop SK, Wang Y, Khare R. MALDI-TOF mass spectrometry from nucleic acid: development and evaluation of a novel platform for identification of mycobacteria and detection of genetic markers of resistance. Microbiol Spectr 2024; 12:e0163824. [PMID: 39189753 PMCID: PMC11448058 DOI: 10.1128/spectrum.01638-24] [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: 07/17/2024] [Accepted: 08/02/2024] [Indexed: 08/28/2024] Open
Abstract
Complete identification methods are critical for evaluating nontuberculous mycobacteria (NTM). Here, we describe a novel diagnostic method for identification of eight NTM, Mycobacterium tuberculosis complex, and three drug resistance markers using PCR/matrix-assisted, laser-desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) from cultured organisms. With this technology, a multiplex end-point PCR is performed for targets of interest. Detection probes that are extended in the presence of a target are added. The extended probes have greater molecular weight and can be detected by MALDI-TOF MS. An AFB Primary Panel was designed to differentiate Mycobacterium avium; Mycobacterium intracellulare subsp. chimaera; Mycobacterium avium complex (other); Mycobacterium abscessus subsp. abscessus, bolletii, and massiliense; Mycobacterium kansasii, and M. tuberculosis complex. This design should cover 90% (3,483/3,691) of mycobacteria seen onsite. A development set of unblinded isolates (n = 217) was used to develop PCR primers, detection probes, and probe barcodes. It demonstrated 99.1% (215/217) agreement with reference methods. An evaluation set using blinded isolates (n = 320) showed an overall sensitivity of 94.3% (range by target: 90.0-100%). Overall specificity from negative media, non-target mycobacteria, and bacteria was 99.1% (108/109; range by target: 94.4-100%). Three drug resistance markers erm (41), rrl, and rrs demonstrated 100%, 91%, and 100% sensitivity, respectively, and >99% specificity. Limit of detection per target ranged from 2.2 × 103 to 9.9 × 106 CFU/mL. The AFB Primary Panel allows for mycobacterial speciation, subspeciation, and resistance mutation detection, which is essential for diagnosis, appropriate therapy, identifying outbreaks, and managing treatment-refractory disease. It can perform with high-throughput and high specificity and sensitivity from isolates.IMPORTANCEEven closely related mycobacteria can have unique treatment patterns, but differentiating these organisms is a challenge. Here, we tested an innovative platform that combines two commonly used technologies and creates something new: matrix-assisted, laser-desorption ionization time-of flight mass spectrometry was performed on PCR amplicons instead of on proteins. This created a robust system with the advantages of PCR (high discriminatory power, high throughput, detection of resistance) with the advantages of mass spectrometry (more targets, lower operational cost) in order to identify closely related mycobacterial organisms.
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Affiliation(s)
- Emily K. DeCurtis
- Advanced Diagnostics Laboratory, National Jewish Health, Denver, Colorado, USA
| | - Iara Machado
- Advanced Diagnostics Laboratory, National Jewish Health, Denver, Colorado, USA
| | | | - Yongbao Wang
- Advanced Diagnostics Laboratory, National Jewish Health, Denver, Colorado, USA
| | - Reeti Khare
- Advanced Diagnostics Laboratory, National Jewish Health, Denver, Colorado, USA
- Department of Medicine, National Jewish Health, Denver, Colorado, USA
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Song S, Xu H, Cao J, Wu G, Sun H, Dai X, Li X, Chen M, Zhang M, Yan Y, Tong J, Wang Z. Comparison of Nucleotide MALDI-TOF MS with Xpert MTB/RIF for Rifampicin Susceptibility Identification and Associated Risk Factors of Rifampicin Resistance Among Drug Resistant Mycobacterium tuberculosis. Infect Drug Resist 2024; 17:4223-4236. [PMID: 39364078 PMCID: PMC11447281 DOI: 10.2147/idr.s473195] [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: 04/11/2024] [Accepted: 08/26/2024] [Indexed: 10/05/2024] Open
Abstract
Purpose Nucleotide-based matrix-assisted laser desorption ionization time-of-flight mass spectrometry (nucleotide MALDI-TOF MS) is an emerging molecular technology used for the diagnosis of tuberculosis (TB) caused by Mycobacterium tuberculosis (MTB)and its drug resistance. This study aimed to compare the ability of nucleotide MALDI-TOF MS to detect rifampicin (RIF) resistance in drug-resistant TB (DR-TB) patients with Xpert MTB/RIF and to analyze the disparate results individually. Additionally, potential factors associated with rifampicin resistance among DR-TB patients in Qingdao were investigated. Patients and Methods A retrospective study was conducted at Qingdao Chest Hospital, and patients with DR-TB were enrolled. Corresponding frozen isolates were recovered and subjected to nucleotide MALDI-TOF MS, Xpert MTB/RIF, and phenotypic drug susceptibility testing (pDST). Sanger sequencing was performed for the discordant results of nucleotide MALDI-TOF MS and Xpert MTB/RIF. Univariate and multivariate logistic regression analyses were used to identify potential factors associated with rifampicin resistance among patients with DR-TB. Results A total of 125 patients with DR-TB (18.8%, 125/668) were enrolled in this study from May 1 to July 31, 2023. Rifampicin-resistant (DR-TB/RR, 29) and rifampicin-sensitive (DR-TB/RS, 96) groups were divided according to the pDST results. Nucleotide MALDI-TOF MS performed better than Xpert MTB/RIF in terms of sensitivity, specificity, accuracy, and agreement with pDST. Only six cases had inconsistent results, and the sequencing results of five cases were identical to nucleotide MALDI-TOF MS. Furthermore, chest pain (aOR=12.84, 95% CI, 2.29-91.97, p=0.005), isoniazid sensitivity (aOR=0.14, 0.02-0.59, p=0.013), and ethambutol sensitivity (aOR=0.02, 0.00-0.10, p=0.000) were potential factors associated with rifampicin resistance among DR-TB patients in Qingdao. Conclusion The overall concordance between nucleotide MALDI-TOF MS and Xpert MTB/RIF was 95.2%, with the former performing better in determining rifampicin susceptibility among DR-TB cases in Qingdao. Chest pain, isoniazid, and ethambutol resistance might be factors associated with RIF resistance among patients with DR-TB in Qingdao.
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Affiliation(s)
- Song Song
- Institute of Tuberculosis Control, Qingdao Preventive Medicine Research Institute, Qingdao Municipal Center for Disease Control and Prevention, Qingdao, People's Republic of China
| | - Honghong Xu
- Institute of Tuberculosis Control, Qingdao Preventive Medicine Research Institute, Qingdao Municipal Center for Disease Control and Prevention, Qingdao, People's Republic of China
| | - Jiawei Cao
- Department of Laboratory Medicine, Qingdao Chest Hospital, Qingdao, Shandong, People's Republic of China
| | - Guanghong Wu
- Department of Laboratory Medicine, Qingdao Chest Hospital, Qingdao, Shandong, People's Republic of China
| | - Haiyan Sun
- Institute of Tuberculosis Control, Qingdao Preventive Medicine Research Institute, Qingdao Municipal Center for Disease Control and Prevention, Qingdao, People's Republic of China
| | - Xiaoqi Dai
- Institute of Tuberculosis Control, Qingdao Preventive Medicine Research Institute, Qingdao Municipal Center for Disease Control and Prevention, Qingdao, People's Republic of China
| | - Xuekui Li
- Institute of Tuberculosis Control, Qingdao Preventive Medicine Research Institute, Qingdao Municipal Center for Disease Control and Prevention, Qingdao, People's Republic of China
| | - Meng Chen
- Institute of Tuberculosis Control, Qingdao Preventive Medicine Research Institute, Qingdao Municipal Center for Disease Control and Prevention, Qingdao, People's Republic of China
| | - Menghan Zhang
- Institute of Tuberculosis Control, Qingdao Preventive Medicine Research Institute, Qingdao Municipal Center for Disease Control and Prevention, Qingdao, People's Republic of China
| | - Yueming Yan
- Institute of Tuberculosis Control, Qingdao Preventive Medicine Research Institute, Qingdao Municipal Center for Disease Control and Prevention, Qingdao, People's Republic of China
| | - Jingfeng Tong
- Department of Medical Affairs, Shanghai Conlight Medical Co., Ltd., Shanghai, People's Republic of China
| | - Zhongdong Wang
- Institute of Tuberculosis Control, Qingdao Preventive Medicine Research Institute, Qingdao Municipal Center for Disease Control and Prevention, Qingdao, People's Republic of China
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Li X, Yang F, Li H, Hu Z, Yu W, Zhang Y, Gao J. Array-based specific classification of bacterial species via ligands with dimethylamino/amino groups. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:5812-5819. [PMID: 39140766 DOI: 10.1039/d4ay00903g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2024]
Abstract
The early detection of bacterial species plays a crucial role in patient prognosis and the development of effective therapeutic regimens. This study introduces an accessible and promising colorimetric sensor array designed to classify gram-positive (G+) and gram-negative (G-) bacterial species. The classification relies on 6 chemical ligands with dimethylamino/amino groups as sensing elements and silver nanotriangles as colorimetric probes. Using these specific sensor arrays, we successfully differentiated G- and G+ bacterial species and discriminated individual bacterial strains, and the sensors exhibited remarkable reproducibility and high sensitivity. Moreover, the sensor array can identify bacterial mixtures and bacteria at varying concentrations, underscoring its versatility. In summary, this sensor array offers an effective tool for bacterial analysis with promising applications in the field of biomedical diagnostics.
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Affiliation(s)
- Xizhe Li
- Interdisciplinary Research Center of Biology & Catalysis, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China.
| | - Fan Yang
- Xingzichuan Drilling Company, Yanchang Oil Mine Management Bureau, Yanan 717400, China
| | - Haojie Li
- Interdisciplinary Research Center of Biology & Catalysis, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China.
| | - Zhi Hu
- College of Environment, Zhejiang University of Technology, Hangzhou 310032, China
| | - Weiting Yu
- College of Environment, Zhejiang University of Technology, Hangzhou 310032, China
| | - Yuchen Zhang
- Department of Pharmacy, Xi'an No. 3 Hospital, The Affiliated Hospital of Northwest University, Xi'an 710021, China.
| | - Jie Gao
- Interdisciplinary Research Center of Biology & Catalysis, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China.
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Jiang L, Xin J, Liang L, Xia M, Li J, Tong J, Huang C, Li T. Enhanced diagnosis of pulmonary tuberculosis through nucleotide MALDI-TOF MS analysis of BALF: a retrospective clinical study. Sci Rep 2024; 14:18416. [PMID: 39117658 PMCID: PMC11310484 DOI: 10.1038/s41598-024-66178-8] [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: 03/05/2024] [Accepted: 06/27/2024] [Indexed: 08/10/2024] Open
Abstract
To evaluate the diagnostic accuracy of matrix-assisted laser desorption ionization time-of-flight mass spectrometry based on nucleotide (nucleotide MALDI-TOF MS) on bronchoalveolar lavage fluid (BALF) from suspected pulmonary tuberculosis (PTB) patients. A retrospective study was conducted on suspected PTB patients (total of 960) admitted to Chongqing Public Health Medical Center between May 2021 and January 2022. The sensitivity, specificity, positive predictive value, negative predictive value (NPV) and area under the curve values of nucleotide MALDI-TOF MS as well as smear microscopy, Mycobacterium Growth Indicator Tube 960 culture (MGIT culture), and Xpert MTB/RIF were calculated and compared. Total of 343 presumed PTB cases were enrolled. Overall, using the clinical diagnosis as reference, the sensitivity and NPV of nucleotide MALDI-TOF MS was 71.5% and 43.1%, respectively, significantly higher than smear microscopy (22.6%, 23.2%), MGIT culture (40.6%, 18.9%), Xpert MTB/RIF (40.8%, 27.9%). Furthermore, nucleotide MALDI-TOF MS also outperformed over Xpert MTB/RIF and MGIT culture on smear-negative BALFs. Approximately 50% and 30% of patients benefited from nucleotide MALDI-TOF MS compared with smear and MGIT culture or Xpert MTB/RIF, respectively. This study demonstrated that the analysis of BALF with nucleotide MALDI-TOF MS provided an accurate and promising tool for the early diagnosis of PTB.
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Affiliation(s)
- Ling Jiang
- Third Department of Tuberculosis, Chongqing Public Health Medical Center, Southwest University Public Health Hospital, Chongqing, China
| | - Junqiu Xin
- Third Department of Tuberculosis, Chongqing Public Health Medical Center, Southwest University Public Health Hospital, Chongqing, China
| | - Lijun Liang
- Third Department of Tuberculosis, Chongqing Public Health Medical Center, Southwest University Public Health Hospital, Chongqing, China
| | - Mingqiang Xia
- Department of Emergency Medicine, Chongqing Public Health Medical Center, Southwest University Public Health Hospital, Chongqing, China
| | - Jiyao Li
- Third Department of Tuberculosis, Chongqing Public Health Medical Center, Southwest University Public Health Hospital, Chongqing, China
| | - Jingfeng Tong
- Department of Medical Affairs, Shanghai Conlight Medical Co., Ltd., Shanghai, China
| | - Chengchen Huang
- Department of Medical Affairs, Shanghai Conlight Medical Co., Ltd., Shanghai, China
| | - Tongxin Li
- Department of Clinical Laboratory, Chongqing Public Health Medical Center, Southwest University Public Health Hospital, Chongqing, China.
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Zhang M, Zhang H, Yan B, Ren M, Wang W, Zhang T. Diagnostic performance of matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) in bronchoalveolar lavage fluid for pulmonary tuberculosis in HIV-infected patients. J Clin Tuberc Other Mycobact Dis 2024; 36:100459. [PMID: 38983443 PMCID: PMC11231557 DOI: 10.1016/j.jctube.2024.100459] [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: 07/11/2024] Open
Abstract
Introduction Pulmonary tuberculosis (PTB) remains a significant health concern, particularly in individuals infected with human immunodeficiency virus (HIV) who are more susceptible to developing active TB disease. Early and accurate diagnosis of TB is crucial for effective treatment and prevention of transmission. This study aims to evaluate the potential of matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOFMS) analysis of bronchoalveolar lavage fluid (BALF) for diagnosis of suspected PTB in HIV-infected patients. Methods This retrospective study recruited 60 HIV-infected patients with suspected PTB presenting with respiratory symptoms and abnormal chest radiographs between January 2022 and June 2023. BALF samples were collected and subjected to analysis using MALDI-TOF MS, GeneXpert, acid-fast bacilli (AFB) smear and culture. And their diagnostic performance was compared. Results The sensitivity of MALDI⁃TOFMS for diagnosing PTB was 83.3 %, which was better than that of smear 11.9 %, culture 40.5 % or Xpert38.1 % (all p < 0.01). The area under the curve (AUC) value of MALDI⁃TOFMS was 0.889, which was better than that of smear 0.532, culture 0.675 or Xpert 0.690 (all p < 0.01). The katG315 and rpoB-RRDR 511 mutations were detected by the MALDI⁃TOFMS in two patients. Conclusion Nucleotide MALDI-TOFMS has a good clinical performance for rapid diagnosis of PTB from BALF samples in HIV infected patients, and detects mutations of TB simultaneously.
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Affiliation(s)
- Mei Zhang
- Department of Infectious Diseases and Medical Immunology, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Hongwei Zhang
- Clinic of Center for Infection, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Benyong Yan
- Department of Infectious Diseases and Medical Immunology, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Meixin Ren
- Department of Infectious Diseases and Medical Immunology, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Wen Wang
- Department of Infectious Diseases and Medical Immunology, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Tong Zhang
- Department of Infectious Diseases and Medical Immunology, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
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Suebwongsa N, Jiemsup S, Santiyanont P, Hirunpatrawong P, Aswapairin P, Thongkum M, Panumars P, Chokesajjawatee N, Wongsrichai S, Koompa P, Yongkiettrakul S. MassARRAY: a high-throughput solution for rapid detection of foodborne pathogens in real-world settings. Front Microbiol 2024; 15:1403579. [PMID: 38983630 PMCID: PMC11232118 DOI: 10.3389/fmicb.2024.1403579] [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: 03/19/2024] [Accepted: 05/21/2024] [Indexed: 07/11/2024] Open
Abstract
Introduction Bacterial foodborne pathogens pose a substantial global public health concern, prompting government agencies and public health organizations to establish food safety guidelines and regulations aimed at mitigating the risk of foodborne illness. The advent of DNA-based amplification coupled with mass spectrometry, known as MassARRAY analysis, has proven to be a highly precise, sensitive, high-throughput, and cost-effective method for bacterial detection. This study aimed to develop, validate, and evaluate a MassARRAY-based assay for the detection and identification of significant enteropathogenic bacteria. Methods The MassARRAY-based assay was developed for the detection of 10 crucial bacterial foodborne pathogens, including Campylobacter coli, Campylobacter jejuni, Clostridium perfringens, Escherichia coli, Enterococcus faecalis, Enterococcus faecium, Listeria monocytogenes, Salmonella spp., Shigella spp., and Staphylococcus aureus. The assay was optimized using the reference gDNA (n = 19), followed by validation using gDNA (n = 85) of reference and laboratory isolates. Additionally, the evaluation of the assay's reaction using a mixture of gDNA from all nine targeted species was performed. The limit of detection of the developed MassARRAY-based assay was determined using bacterial cells. Moreover, the validation method for field samples was evaluated by comparing it with standard microbiological testing methods routinely analyzed. Results The developed MassARRAY-based assay demonstrated 100% concordance with known bacterial pure cultures. The assay's reaction using a mixture of gDNA from all nine targeted species revealed the MassARRAY's capability to detect all targeted species in a single assay with the lowest concentration of 1 ng/μL of gDNA. The limits of detection of the assay range from 357 ± 101 to 282,000 ± 79,196 cells. Moreover, the validation of the assay in field samples revealed a 100% correlation between the data obtained from the standard microbiological method and the MassARRAY-based assay. Discussion These findings suggested that the developed MassARRAY-based assay exhibited the excellence in high-throughput detection of foodborne bacterial pathogens with high accuracy, reliability, and potential applicability within real-world field samples.
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Affiliation(s)
- Namfon Suebwongsa
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand
| | - Surasak Jiemsup
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand
| | - Pannita Santiyanont
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand
| | | | | | | | | | - Nipa Chokesajjawatee
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand
| | - Supaporn Wongsrichai
- Bureau of Quality Control of Livestock Products, Department of Livestock Development, Ministry of Agriculture and Cooperatives, Pathum Thani, Thailand
| | - Pichet Koompa
- Bureau of Quality Control of Livestock Products, Department of Livestock Development, Ministry of Agriculture and Cooperatives, Pathum Thani, Thailand
| | - Suganya Yongkiettrakul
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand
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Lin M, Zhang Y, Lv D, Xu N, Yang X, Liu X, Yan C, Wu M, Kai J, Hu S, Zhao Q. The impact of CYP3A5*3 on oral quetiapine: A population pharmacokinetic model in Chinese bipolar disorder patients. J Affect Disord 2024; 351:309-313. [PMID: 38262522 DOI: 10.1016/j.jad.2024.01.170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 01/15/2024] [Accepted: 01/17/2024] [Indexed: 01/25/2024]
Abstract
BACKGROUND There is great interindividual difference in the plasma concentration of quetiapine, and optimizing quetiapine therapy to achieve a balance between efficacy and safety is still a challenge. In our study, a population pharmacokinetic (PPK) model considering genetic information was developed with the expectation of comprehensively explaining this observation in Chinese patients with bipolar disorder. METHODS Patients who were dispensed quetiapine and underwent the therapeutic drug monitoring (TDM) were included. The genotypes of CYP3A5*3, CYP2D6*10, and ABCB1 C3435T/G2677T were analyzed. Finally, a multivariable linear regression model was applied to describe the PPK of quetiapine considering the covariates weight, height and genotype information. RESULTS A total of 175 TDM points from 107 patients were adopted for PPK model development. Resultantly, the CL/F of quetiapine in CYP3A5 expressers was 81.1 CL/h, whereas it was 43.6 CL/h in CYP3A5 nonexpressers. The interindividual variability in CL/F was 47.7 %. However, neither the ABCB1 nor CYP2D6 genotype was significantly associated with the predictor of quetiapine clearance in our study. LIMITATIONS Only trough concentrations were collected, and the span between different points was relatively wide, impeding the application of the typical nonlinear compartment model for PPK analysis. In addition, this was a single-center study which limited the sample of wild-type CYP3A5 carriers. CONCLUSIONS The currently established PPK model of quetiapine considering the contribution of the CYP3A5 genotype could efficiently predict the population and individual pharmacokinetic parameters of Chinese bipolar disorder patients, which could better guide the personalized therapy with quetiapine, thus to achieve the best clinical response.
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Affiliation(s)
- Meihua Lin
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, Hangzhou 310003, China; Zhejiang Provincial Key Laboratory of Traditional Chinese Medicine for Clinical Evaluation and Translational Research, Hangzhou 310003, China
| | - Yu Zhang
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Duo Lv
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, Hangzhou 310003, China
| | - Nana Xu
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, Hangzhou 310003, China
| | - Xi Yang
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, Hangzhou 310003, China
| | - Xueling Liu
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, Hangzhou 310003, China
| | - Caixia Yan
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, Hangzhou 310003, China
| | - Meijia Wu
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, Hangzhou 310003, China
| | - Jiejing Kai
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, Hangzhou 310003, China
| | - Shaohua Hu
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou 310003, China; Brain Research Institute of Zhejiang University, Hangzhou 310003, China.
| | - Qingwei Zhao
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, Hangzhou 310003, China; Zhejiang Provincial Key Laboratory of Traditional Chinese Medicine for Clinical Evaluation and Translational Research, Hangzhou 310003, 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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12
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Ou X, Song Z, Zhao B, Pei S, Teng C, Zheng H, He W, Xing R, Wang Y, Wang S, Xia H, Zhou Y, He P, Zhao Y. Diagnostic efficacy of an optimized nucleotide MALDI-TOF-MS assay for anti-tuberculosis drug resistance detection. Eur J Clin Microbiol Infect Dis 2024; 43:105-114. [PMID: 37980301 DOI: 10.1007/s10096-023-04700-y] [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: 08/10/2023] [Accepted: 11/01/2023] [Indexed: 11/20/2023]
Abstract
PURPOSE We aimed at evaluating the diagnostic efficacy of a nucleotide matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS) assay to detect drug resistance of Mycobacterium tuberculosis. METHODS Overall, 263 M. tuberculosis clinical isolates were selected to evaluate the performance of nucleic MALDI-TOF-MS for rifampin (RIF), isoniazid (INH), ethambutol (EMB), moxifloxacin (MXF), streptomycin (SM), and pyrazinamide (PZA) resistance detection. The results for RIF, INH, EMB, and MXF were compared with phenotypic microbroth dilution drug susceptibility testing (DST) and whole-genome sequencing (WGS), and the results for SM and PZA were compared with those obtained by WGS. RESULTS Using DST as the gold standard, the sensitivity, specificity, and kappa values of the MALDI-TOF-MS assay for the detection of resistance were 98.2%, 98.7%, and 0.97 for RIF; 92.8%, 99%, and 0.90 for INH; 82.4%, 98.0%, and 0.82 for EMB; and 92.6%, 99.5%, and 0.94 for MXF, respectively. Compared with WGS as the reference standard, the sensitivity, specificity, and kappa values of the MALDI-TOF-MS assay for the detection of resistance were 97.4%, 100.0%, and 0.98 for RIF; 98.7%, 92.9%, and 0.92 for INH; 96.3%, 100.0%, and 0.98 for EMB; 98.1%, 100.0%, and 0.99 for MXF; 98.0%, 100.0%, and 0.98 for SM; and 50.0%, 100.0%, and 0.65 for PZA. CONCLUSION The nucleotide MALDI-TOF-MS assay yielded highly consistent results compared to DST and WGS, suggesting that it is a promising tool for the rapid detection of sensitivity to RIF, INH, EMB, and MXF.
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Affiliation(s)
- Xichao Ou
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, No. 155 Chang Bai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Zexuan Song
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, No. 155 Chang Bai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Bing Zhao
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, No. 155 Chang Bai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Shaojun Pei
- School of Public Health, Peking University, Beijing, 100191, China
| | - Chong Teng
- Department of Tuberculosis, Beijing Dongcheng District Center for Disease Control, Beijing, 100050, China
| | - Huiwen Zheng
- Laboratory of Respiratory Diseases, Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Beijing Children's Hospital, Capital Medical University, Beijing, 100045, China
| | - Wencong He
- Clinical Laboratory, Beijing Tong Ren Hospital, Capital Medical University, Beijing, 100730, China
| | - Ruida Xing
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, No. 155 Chang Bai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Yiting Wang
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, No. 155 Chang Bai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Shengfen Wang
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, No. 155 Chang Bai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Hui Xia
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, No. 155 Chang Bai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Yang Zhou
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, No. 155 Chang Bai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Ping He
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, No. 155 Chang Bai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Yanlin Zhao
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, No. 155 Chang Bai Road, Changping District, Beijing, 102206, People's Republic of China.
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