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Lin T, Yu Y, Luo J, Yan X, Qiu Y, Tong J, Wang Y, Huang X, Li D, Zhang Y, Yang G. Clinical value of Metagenomic Next- and Third-Generation Sequencing applied in ultrasound-guided puncture biopsy for diagnosing lymph node tuberculosis. JOURNAL OF MICROBIOLOGY, IMMUNOLOGY, AND INFECTION = WEI MIAN YU GAN RAN ZA ZHI 2025; 58:340-346. [PMID: 39919954 DOI: 10.1016/j.jmii.2024.12.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2024] [Revised: 12/04/2024] [Accepted: 12/31/2024] [Indexed: 02/09/2025]
Abstract
OBJECTIVES The aim of this study was to assess the clinical utility of metagenomic next-generation sequencing (mNGS) and metagenomic third-generation sequencing (mTGS) in diagnosing cervical lymph node tuberculosis through analysis of lymph node tissue. METHODS This study recruited 101 patients with suspected cervical lymph node tuberculosis and took samples under ultrasound guidance. Parallel culture, X-pert, mNGS and mTGS workflows to each sample were performed. Taking clinical diagnosis as the gold standard, We comparatively compared diagnosis performance of the four methods. RESULTS Clinically, 76 cases were diagnosed as lymph node tuberculosis and 20 cases were non-lymph node tuberculosis. Compared with clinical diagnosis, the sensitivities of mNGS and mTGS were 89.47 % and 82.89 %, respectively, significantly higher than those of culture and X-pert which were 43.28 % and 68.42 %, respectively (P < 0.05). The specificity of mNGS and X-pert reached 100 %, while those of culture and mTGS were 93.75 % and 95 %, respectively. And mNGS alone identified 7 species of bacteria, 3 species of viruses, and 5 species of fungi, and identified more mixed infections. Particularly, besides Mycobacterium tuberculosis detection, mNGS may be superior to mTGS for the detection of fungi. Pathogen identification of mNGS and mTGS is less affected by previous anti-tuberculosis drug usage. CONCLUSION mNGS and mTGS play a crucial role in the rapid diagnosis and accurate treatment on Cervical lymph node tuberculosis.
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Affiliation(s)
- Ting Lin
- The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou First People's Hospital, PR China.
| | - Yuehui Yu
- Hangzhou Normal University, PR China.
| | - Jialei Luo
- The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou First People's Hospital, PR China.
| | - Xinyi Yan
- Hangzhou Normal University, PR China.
| | - Yuxuan Qiu
- Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, PR China
| | - Jiahui Tong
- Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, PR China
| | - Ying Wang
- Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, PR China.
| | - Xiangyun Huang
- Key Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Dian Diagnostics Group Co, Ltd., Hangzhou, Zhejiang Province, PR China.
| | - Dan Li
- Key Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Dian Diagnostics Group Co, Ltd., Hangzhou, Zhejiang Province, PR China.
| | - Ying Zhang
- Department of Ultrasonography, Affiliated Hangzhou Red Cross Hospital, PR China.
| | - Gaoyi Yang
- Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, PR China.
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Guo L, Wu X, Cao L. Clinical Characteristics of Miliary Pulmonary Tuberculosis in Pregnancy After In Vitro Fertilization-Embryo Transfer: A Retrospective Clinical Study. Health Sci Rep 2025; 8:e70705. [PMID: 40260047 PMCID: PMC12010211 DOI: 10.1002/hsr2.70705] [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: 10/07/2024] [Revised: 03/26/2025] [Accepted: 04/02/2025] [Indexed: 04/23/2025] Open
Abstract
Background and Aims Miliary pulmonary tuberculosis (MPTB) is rare in patients treated with In Vitro fertilization-embryo transfer (IVF-ET), and can be life-threatening to pregnant women and fetuses. We aimed to describe the clinical characteristics of MPTB after IVF-ET and pregnancy outcomes to provide reference for early diagnosis and treatment. Methods Clinical data from patients who developed MPTB after IVF-ET from January 2018-December 2021 were retrospectively and statistically analyzed. Results Ultimately, 21 patients (mean age: 29.81 ± 3.79 years) were included. Three patients had a history of pulmonary or extrapulmonary tuberculosis (TB), and were cured or showed no suggestive TB activity before pregnancy. Patients presented with atypical early symptoms, fever (39.16 ± 0.74°C), and vaginal bleeding, and lung imaging changes. Patients became febrile 78.90 ± 26.04 days after IVF-ET; the time from fever to diagnosis was 17.76 ± 9.05 days. Patients were admitted 96.05 ± 25.33 days after IVF-ET. Sputum Mycobacterium tuberculosis smear and culture, purified protein derivative, TB polymerase chain reaction, and other routine TB examinations had low positivity rates; the erythrocyte sedimentation rate was generally within normal limits. Chest imaging during pregnancy is limited, further increasing the diagnosis time. Two critically ill patients were diagnosed by metagenomic next-generation sequencing. Seven patients had TB meningitis or encephalitis. Pregnancy was terminated in all but three patients. All patients received anti-TB therapy; however, two patients died during hospitalization (mean hospitalization: 58.29 ± 33.40 days). Conclusions Comprehensive TB screening before IVF-ET is necessary for infertile patients. MPTB develops after IVF-ET with atypical symptoms and poor pregnancy outcomes. Clinicians should use multiple methods to confirm TB diagnoses early on, without delaying chest imaging.
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Affiliation(s)
- Litao Guo
- Department of Critical Care MedicineThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anChina
- Department of Critical Care MedicineQinghai Provincial People's HospitalXiningChina
| | - Xiaoling Wu
- Department of Critical Care MedicineThe Fifth People's Hospital of ShaanXiXi'anChina
| | - Lin Cao
- Department of Critical Care MedicineThe Fifth People's Hospital of ShaanXiXi'anChina
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3
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Yan Z, Sun C, Tang W, Cao W, Lv J, Liang Z, Wei S, Zhong W, Zhao Z, Zhao Z, Li Y. Application of the metagenomic next-generation sequencing technology to identify the causes of pleural effusion. Front Med (Lausanne) 2025; 12:1525100. [PMID: 40177267 PMCID: PMC11961432 DOI: 10.3389/fmed.2025.1525100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2024] [Accepted: 03/06/2025] [Indexed: 04/05/2025] Open
Abstract
Background Pleural effusion (PE), frequently encountered in clinical practice, can arise from a variety of underlying conditions. Accurate differential diagnosis of PE is crucial, as treatment and prognosis are heavily dependent on the underlying etiology. However, diagnosing the cause of PE remains challenging, relying on mycobacteriological methods that lack sensitivity and are time-consuming, or on histological examinations that require invasive biopsies. The recent advancements in metagenomic next-generation sequencing (mNGS) have shown promising applications in the diagnosis of infectious diseases. Despite this, there is limited research on the utility of mNGS as a comprehensive diagnostic tool for simultaneously identifying the causes of PE, particularly in cases of tuberculosis or malignancy. Methods This study aimed to assess the efficacy of mNGS in detecting tuberculous pleural effusion (TPE) and malignant pleural effusion (MPE). A total of 35 patients with PE were included, and their PE samples were analyzed using mNGS. Results Among the participants, 8 were ultimately diagnosed with TPE, and 10 were diagnosed with MPE, with lung adenocarcinoma being the most prevalent pathological type (50%, 5/10), according to established diagnostic criteria. Additionally, 7 patients were diagnosed with non-infectious PE. However, mNGS identified only 2 cases of TPE and 8 cases of MPE. The sensitivity of mNGS for detecting Mycobacterium tuberculosis was 25% (2/8), while the specificity was 100%. For tumor detection, mNGS demonstrated a sensitivity of 80%, a specificity of 92.6%, and an AUC of 0.882. Conclusion mNGS is effective in distinguishing MPE from non-MPE, but is not suitable for diagnosing TPE.
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Affiliation(s)
- Zhiyun Yan
- The First Clinical Medical College, Guangdong Medical University, Zhanjiang, China
- Department of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
- Department of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Cheng Sun
- Department of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
- Department of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
- The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Wanna Tang
- Department of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
- Department of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Weitao Cao
- Department of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
- Department of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jin Lv
- Radiology Department, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
| | - Zhike Liang
- Department of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
- Department of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Shuquan Wei
- Department of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
- Department of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Weinong Zhong
- Department of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
- Department of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Ziwen Zhao
- Department of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
- Department of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Zhuxiang Zhao
- Department of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
- Department of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yujun Li
- The First Clinical Medical College, Guangdong Medical University, Zhanjiang, China
- Department of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
- Department of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
- The First Affiliated Hospital of Jinan University, Guangzhou, China
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Xiong W, Dong L, Zhu N, Zhou D, Li S, Lv J, Xu M, Zhang Y, Li S. The diagnostic value of metagenomic next-generation sequencing in suspected pulmonary tuberculosis patients with scarce sputum or negative sputum etiological test results. Diagn Microbiol Infect Dis 2025; 111:116633. [PMID: 39644540 DOI: 10.1016/j.diagmicrobio.2024.116633] [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: 09/07/2024] [Revised: 11/09/2024] [Accepted: 11/27/2024] [Indexed: 12/09/2024]
Abstract
OBJECTIVE To compare the diagnostic value between mNGS and conventional tests in suspected pulmonary tuberculosis (PTB) patients with scarce sputum or with negative sputum etiological test results. METHODS We enrolled eligible patients admitted to our department from 2018 to 2021. Their bronchoalveolar lavage fluid (BALF) and lung biopsy tissue samples were sent for mNGS and conventional tests. The diagnostic value of mNGS was compared respectively with that of conventional tests. RESULTS 94 of 226 enrolled patients were diagnosed PTB. The diagnostic concordance rate of mNGS was significantly higher than that of acid-fast staining in all samples (p < 0.001), as well as that of culture in BALF samples (p = 0.011). mNGS in parallel with conventional tests had significantly higher AUC than mNGS alone (p = 0.013). CONCLUSIONS mNGS has higher diagnostic value than some conventional tests. mNGS in parallel with conventional tests is more reliable to accurately diagnose these suspected PTB patients.
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Affiliation(s)
- Wanfeng Xiong
- Department of Pulmonary and Critical Care Medicine, Huashan Hospital affiliated to Fudan University, Shanghai, China
| | - Liang Dong
- Department of Pulmonary and Critical Care Medicine, Huashan Hospital affiliated to Fudan University, Shanghai, China
| | - Ning Zhu
- Department of Pulmonary and Critical Care Medicine, Huashan Hospital affiliated to Fudan University, Shanghai, China
| | - Daibing Zhou
- Department of Pulmonary and Critical Care Medicine, Huashan Hospital affiliated to Fudan University, Shanghai, China
| | - Shuanghui Li
- Department of Pulmonary and Critical Care Medicine, Huashan Hospital affiliated to Fudan University, Shanghai, China
| | - Junzhu Lv
- Department of Pulmonary and Critical Care Medicine, Huashan Hospital affiliated to Fudan University, Shanghai, China
| | - Mengqi Xu
- Department of Pulmonary and Critical Care Medicine, Huashan Hospital affiliated to Fudan University, Shanghai, China
| | - Yuhai Zhang
- Department of Health Statistics, Air Force Medical University, Xi'an, China
| | - Shengqing Li
- Department of Pulmonary and Critical Care Medicine, Huashan Hospital affiliated to Fudan University, Shanghai, China.
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Yuan J, Ma L, Du J, Sun H, Li S, Zhou G, Rao G, Sun F, Chen W, Miao H, Tian D, Cheng C, Wang Y, Li L, Li L, Pang Y. Host DNA depletion assisted metagenomic sequencing of bronchoalveolar lavage fluids for diagnosis of pulmonary tuberculosis. Ann Clin Microbiol Antimicrob 2025; 24:13. [PMID: 39962548 PMCID: PMC11834276 DOI: 10.1186/s12941-025-00782-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: 12/04/2024] [Accepted: 02/05/2025] [Indexed: 02/20/2025] Open
Abstract
Metagenomic next-generation sequencing (mNGS) has greatly improved our understanding of pathogens in infectious diseases such as pulmonary tuberculosis (PTB). However, high human DNA background (> 95%) impedes the detection sensitivity of mNGS in identifying intracellular Mycobacterium tuberculosis (MTB), posing a pressing challenge for MTB diagnosis. Therefore, there is an urgent need to improve MTB diagnosis performance in PTB patients. In this study, we optimized mNGS method for diagnosis of PTB. This led to the development of the host DNA depletion assisted mNGS (HDA-mNGS) technique, which we compared with conventional mNGS and the host DNA depletion-assisted Nanopore sequencing (HDA-Nanopore) in diagnostic performance. We collected 105 bronchoalveolar lavage fluid (BALF) samples from suspected PTB patients across three medical centers to assess the clinical performance of these methods. The results of our study showed that HDA-mNGS had the highest sensitivity (72.0%) and accuracy (74.5%) in PTB detection. This was significantly higher compared to mNGS (51.2%, 58.2%) and HDA-Nanopore (58.5%, 62.2%). Furthermore, HDA-mNGS provided an increased coverage of the MTB genome by up to 16-fold. Antibiotic resistance gene analysis indicated that HDA-mNGS could provide increased depth to the detection of Antimicrobial resistance (AMR) locus more effectively. These findings indicate that HDA-mNGS can significantly improve the clinical performance of PTB diagnosis for BALF samples, offering great potential in managing antibiotic resistance in PTB patients.
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Affiliation(s)
- Jinfeng Yuan
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Liping Ma
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, China
| | - Juan Du
- Department of Tuberculosis, Wuhan Pulmonary Hospital, Wuhan, China
| | - Hailin Sun
- Department of Tuberculosis, Ordos Second People's Hospital, Ordos, China
| | - Shanshan Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Gang Zhou
- Genskey Medical Technology Co., Ltd, A212 Innovation Building, Changping Life Garden, Beijing, China
| | - Guanhua Rao
- Genskey Medical Technology Co., Ltd, A212 Innovation Building, Changping Life Garden, Beijing, China
| | - Fengshuo Sun
- Genskey Medical Technology Co., Ltd, A212 Innovation Building, Changping Life Garden, Beijing, China
| | - Wangyang Chen
- Genskey Medical Technology Co., Ltd, A212 Innovation Building, Changping Life Garden, Beijing, China
| | - Hui Miao
- Genskey Medical Technology Co., Ltd, A212 Innovation Building, Changping Life Garden, Beijing, China
| | - Dan Tian
- Department of Tuberculosis Prevention, Wuhan Pulmonary Hospital, Wuhan, Hubei, China
| | - Changhao Cheng
- Department of Tuberculosis, Wuhan Pulmonary Hospital, Wuhan, China
| | - Yan Wang
- Department of Tuberculosis, Ordos Second People's Hospital, Ordos, China
| | - Liang Li
- Clinical Center On Tuberculosis Control, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
| | - Lifeng Li
- Genskey Medical Technology Co., Ltd, A212 Innovation Building, Changping Life Garden, Beijing, China.
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
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Johnson T, Jamrozik E, Ramachandran P, Johnson S. Clinical metagenomics: ethical issues. J Med Microbiol 2025; 74:001967. [PMID: 40013924 PMCID: PMC11868657 DOI: 10.1099/jmm.0.001967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2024] [Accepted: 01/10/2025] [Indexed: 02/28/2025] Open
Abstract
Metagenomics is increasingly used for diagnosis in hospital settings. It is useful particularly in cases of unknown aetiology, where novel or difficult-to-diagnose pathogens are suspected, and/or following unexplained disease outbreaks. In this paper, we present three use cases that draw on existing reports: one involving a patient in intensive care with encephalitis of unknown aetiology; a second case with likely infection with drug-resistant Klebsiella pneumoniae and an incidental finding of unknown relevance; and a third case situated in an unexplained outbreak of acute hepatitis in children, with severe outcomes due to co-infection. We examine each case in turn, highlighting ethical questions arising in relation to clinical issues including: disclosure to patients of untreatable disease, cost-effectiveness, the value of resistance testing, sensitivity and specificity, uncertain or unexpected findings, patient consent and data sharing. We conclude by proposing recommendations for further research and developing particular pieces of guidance to improve clinical uses of metagenomics for diagnosis.
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Affiliation(s)
- Tess Johnson
- Ethox Centre, Oxford Population Health, University of Oxford, Oxford, UK
- Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Euzebiusz Jamrozik
- Ethox Centre, Oxford Population Health, University of Oxford, Oxford, UK
- Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Department of Infectious Diseases and Royal Melbourne Hospital Department of Medicine, University of Melbourne, Melbourne, Australia
- Monash Bioethics Centre, Monash University, Melbourne, Australia
| | - Prashanth Ramachandran
- Department of Infectious Diseases, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia
| | - Stephanie Johnson
- Ethox Centre, Oxford Population Health, University of Oxford, Oxford, UK
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Yang Z, Tang Y, Shan S. Bronchial lavage tNGS in the diagnosis of pulmonary tuberculosis. Technol Health Care 2025; 33:215-223. [PMID: 39093094 DOI: 10.3233/thc-240823] [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] [Indexed: 08/04/2024]
Abstract
BACKGROUND Tuberculosis (TB), primarily caused by Mycobacterium tuberculosis, remains a significant global health concern. Targeted Next-Generation Sequencing (tNGS) has emerged as a rapid and comprehensive diagnostic tool for tuberculosis, offering advantages over traditional methods and serving as an effective alternative for drug susceptibility testing and the detection of drug-resistant tuberculosis. OBJECTIVE This study aimed to retrospectively analyze the clinical characteristics of pulmonary tuberculosis patients. After explore the application value of targeted next-generation sequencing technology in this patient population, providing valuable insights for clinical diagnosis and treatment. METHODS In this retrospective study, we analyzed data from 65 patients with laboratory-confirmed tuberculosis admitted to Tianjin Baodi Hospital from November 14, 2020, to February 1, 2023. Patients underwent bronchoalveolar lavage fluid (BALF) testing, including acid-fast staining, culture, and tNGS. Biopsies and histopathological examinations were performed on some patients, along with comprehensive radiological assessments for all. RESULTS Among the 65 pulmonary tuberculosis patients, targeted next-generation sequencing detected pathogens in bronchoalveolar lavage fluid with a positivity rate of 93.8%, significantly higher than traditional methods such as acid-fast staining, culture, and pathology. Compared to bronchoalveolar lavage fluid smear, targeted next-generation sequencing demonstrated significantly higher diagnostic sensitivity (98.46% vs. 26.15%) and accuracy (98.46% vs. 26.15%). CONCLUSION Targeted next-generation sequencing, with its high sensitivity and specificity compared to traditional methods, provides unique advantages in detecting pathogens among these patients, highlighting its importance in disease management.
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Affiliation(s)
- Zhongpeng Yang
- Department of Respiratory and Critical Care Medicine, Tianjin Baodi Hospital, Baodi Clinical College of Tianjin Medical University, Tianjin, China
| | - Yucong Tang
- Department of Respiratory and Critical Care Medicine, Tianjin Medical University, Tianjin, China
| | - Shuxiang Shan
- Department of Respiratory and Critical Care Medicine, Tianjin Baodi Hospital, Baodi Clinical College of Tianjin Medical University, Tianjin, China
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You Y, Ni YM, Shi G. Diagnostic accuracy of metagenomic next-generation sequencing in pulmonary tuberculosis: a systematic review and meta-analysis. Syst Rev 2024; 13:317. [PMID: 39731100 DOI: 10.1186/s13643-024-02733-8] [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: 07/27/2024] [Accepted: 12/04/2024] [Indexed: 12/29/2024] Open
Abstract
BACKGROUND Metagenomic next-generation sequencing (mNGS) has emerged as a promising tool in clinical practice due to its unbiased approach to pathogen detection. Its diagnostic performance in pulmonary tuberculosis (PTB), however, remains to be fully evaluated. OBJECTIVE This study aims to systematically review and Meta-analyze the diagnostic accuracy of mNGS in patients with PTB. METHODS We conducted a literature search in PubMed (MEDLINE), Web of Science, Cochrane, and EMBASE databases, including studies published up to 2024. Studies comparing the diagnostic accuracy of mNGS with other methods such as Xpert-MTB/RIF and Mycobacteria tuberculosis (MTB) culture using bronchoalveolar lavage fluid (BALF), sputum, and lung biopsy tissue were included. Preclinical studies, review articles, editorials, conference abstracts, and book chapters were excluded. Statistical analysis was performed using Rev-man5, R package metabias, and Stata software. RESULTS Thirteen studies met the inclusion criteria and were included in the meta-analysis. The pooled sensitivity and specificity of mNGS for PTB were 83% (95% CI: 69-91%) and 99% (95% CI: 92-100%), respectively. Subgroup analyses revealed that in BALF, mNGS demonstrated a pooled sensitivity of 73% (95% CI: 61-82%) and specificity of 98% (95% CI: 92-100%); in the sputum, the pooled sensitivity was 60% (95% CI: 38-87%) with a specificity of 99% (95% CI: 96-100%); and in the lung biopsy tissue, the pooled sensitivity was 71% (95% CI: 38-95%) and the specificity was 98% (95% CI: 93-100%). For Xpert-MTB/RIF, the pooled sensitivity and specificity were 72% (95% CI: 53-85%) and 100% (95%CI: 100-100%), respectively. Subgroup analyses demonstrated that in BALF, Xpert-MTB/RIF exhibited a pooled sensitivity of 69% (95% CI: 53-81%) and a specificity of 100% (95% CI: 77-100%). The pooled sensitivity and specificity of mycobacteria culture were 50% (95% CI: 36-64%) and 100% (95% CI: 83-100%), respectively. Subgroup analyses indicated that in BALF, the pooled sensitivity of mycobacteria culture was 44% (95% CI: 37-52%) with a specificity of 100% (95% CI: 8-100%); in the sputum, the pooled sensitivity was 42% (95% CI: 21-65%) and the specificity was 100% (95% CI: 100-100%). When combining mNGS with Xpert-MTB/RIF, the pooled sensitivity and specificity were 79% (95% CI: 40-97%) and 98% (95% CI: 95-100%), respectively. CONCLUSION mNGS demonstrates similar diagnostic accuracy to Xpert-MTB/RIF in PTB and outperforms mycobacteria culture in terms of sensitivity. Furthermore, mNGS exhibits good detection capabilities across various PTB clinical samples. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42023427586.
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Affiliation(s)
- Yajie You
- Department of Transfusion, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ying Meng Ni
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guochao Shi
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, China.
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Zhou L, Yong Y, Ran X, Li H, Hu Q. Diagnostic value of the Xpert MTB/RIF assay combined with endobronchial ultrasonography with a guide sheath for peripheral nodular pulmonary tuberculosis. BMC Infect Dis 2024; 24:1017. [PMID: 39304805 DOI: 10.1186/s12879-024-09901-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 09/09/2024] [Indexed: 09/22/2024] Open
Abstract
BACKGROUND The diagnosis of peripheral isolated nodular lesions that are suspected as pulmonary tuberculosis (PTB) is challenging, which are not easily accessible via conventional bronchoscopy. This study evaluated the combined use of Xpert MTB/RIF assay and endobronchial ultrasonography with a guide sheath (EBUS-GS) for detecting MTB infection in peripheral lung bands, for early detection of PTB. METHODS The clinical data of 232 patients with suspected peripheral nodular PTB who underwent EBUS-GS between June 2020 and October 2023 were retrospectively reviewed. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the curve (AUC) of acid-fast bacilli smear, culture, Xpert MTB/RIF assay, and pathological examination were calculated. To assess diagnostic accuracy, the results of the four methods were directly compared with the final clinical diagnosis. RESULTS In total, 146 and 86 patients were clinically diagnosed with peripheral nodular PTB and non-PTB, respectively. The sensitivity, specificity, PPV, NPV, and AUC values of combined Xpert MTB/RIF assay and EBUS-GS were 47.26%, 100.0%, 100.0%, 52.76%, and 0.74; those of acid-fast bacilli smear were 8.22%, 97.67%, 85.71%, 38.53%, and 0.53; those of culture were 31.51%, 100.0%, 100.0%, 46.24%, and 0.66; and those of pathological examination were 23.97%, 97.67%, 94.59%, 43.08%, and 0.61, respectively. CONCLUSION The diagnostic accuracy of the combined Xpert MTB/RIF assay and EBUS-GS was significantly better than that of other conventional tests. Hence, this novel technique can be routinely applied for diagnosing and managing peripheral nodular PTB.
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Affiliation(s)
- Lihong Zhou
- Department of Tuberculosis Diagnosis and Treatment Center of Zhejiang Chinese and Western Medicine Integrated Hospital, No. 208 Huancheng East Road, Gongshu District, Hangzhou, Zhejiang, China
| | - Yan Yong
- Department of Tuberculosis Diagnosis and Treatment Center of Zhejiang Chinese and Western Medicine Integrated Hospital, No. 208 Huancheng East Road, Gongshu District, Hangzhou, Zhejiang, China
| | - Xiaoqin Ran
- Department of Tuberculosis Diagnosis and Treatment Center of Zhejiang Chinese and Western Medicine Integrated Hospital, No. 208 Huancheng East Road, Gongshu District, Hangzhou, Zhejiang, China
| | - Hao Li
- Department of Tuberculosis Laboratory of Zhejiang Chinese and Western Medicine Integrated Hospital, No. 208 Huancheng East Road, Gongshu District, Hangzhou, Zhejiang, China
| | - Qin Hu
- Department of Tuberculosis Diagnosis and Treatment Center of Zhejiang Chinese and Western Medicine Integrated Hospital, No. 208 Huancheng East Road, Gongshu District, Hangzhou, Zhejiang, China.
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Zou X, Xu H, Hu Q, Qi Q, Ma X, Cai Q, Zhu Y. Diagnostic efficacy of endobronchial ultrasound-guided transbronchoscopic lung biopsy for identifying tuberculous nodules. BMC Infect Dis 2024; 24:861. [PMID: 39187759 PMCID: PMC11346205 DOI: 10.1186/s12879-024-09761-8] [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: 02/01/2024] [Accepted: 08/19/2024] [Indexed: 08/28/2024] Open
Abstract
BACKGROUND Microbiological diagnosis of pulmonary tuberculosis (PTB) is hampered by a low pathogen burden, low compliance and unreliable sputum sampling. Although endobronchial ultrasound-guided transbronchoscopic lung biopsy (EBUS-TBLB) has been found to be useful for the assessment of intrapulmonary nodules in adults, few data are available for the clinical diagnosis of pulmonary tuberculosis. Here, we evaluated EBUS-TBLB as a diagnostic procedure in adult patients with radiologically suspected intrapulmonary tuberculous nodules. METHODS This was a retrospective analysis of patients admitted with pulmonary nodules between January 2022 and January 2023 at Hangzhou Red Cross Hospital. All patients underwent EBUS-TBLB, and lung biopsy samples were obtained during hospitalization. All samples were tested for Mycobacterium tuberculosis using acid‒fast smears, Bactec MGIT 960, Xpert MTB/RIF, next-generation sequencing (NGS), and DNA (TB‒DNA) and RNA (TB‒RNA). The concordance between different diagnostic methods and clinical diagnosis was analysed via kappa concordance analysis. The diagnostic efficacy of different diagnostic methods for PTB was analysed via ROC curve. RESULTS A total of 107 patients were included in this study. Among them, 86 patients were diagnosed by EBUS-TBLB, and the overall diagnostic rate was 80.37%. In addition, 102 enrolled patients had benign lesions, and only 5 were diagnosed with lung tumours. Univariate analysis revealed that the diagnostic rate of EBUS-TBLB in pulmonary nodules was related to the location of the probe. The consistency analysis and ROC curve analysis revealed that NGS had the highest concordance with the clinical diagnosis results (agreement = 78.50%, κ = 0.558) and had the highest diagnostic efficacy for PTB (AUC = 0.778). In addition, Xpert MTB/RIF + NGS had the highest concordance with the clinical diagnosis results (agreement = 84.11%, κ = 0.667) and had the highest efficacy in the diagnosis of PTB (AUC = 0.826). CONCLUSION EBUS-TBLB is a sensitive and safe method for the diagnosis of pathological pulmonary nodules. Xpert MTB/RIF combined with NGS had the highest diagnostic efficacy and can be used in the initial diagnosis of PTB.
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Affiliation(s)
- Xingwu Zou
- Tuberculosis Department, Hangzhou Red Cross Hospital, Hangzhou, 310000, P.R. China
| | - Hanmin Xu
- Infectious Disease Department, Longyou People's Hospital, Quzhou, 324400, P.R. China
| | - Qin Hu
- Tuberculosis Department, Hangzhou Red Cross Hospital, Hangzhou, 310000, P.R. China
| | - Qi Qi
- Tuberculosis Department, Hangzhou Red Cross Hospital, Hangzhou, 310000, P.R. China
| | - Xiaoqing Ma
- Tuberculosis Department, Hangzhou Red Cross Hospital, Hangzhou, 310000, P.R. China
| | - Qingshan Cai
- Tuberculosis Department, Hangzhou Red Cross Hospital, Hangzhou, 310000, P.R. China
| | - Yanling Zhu
- Tuberculosis Department, Hangzhou Red Cross Hospital, Hangzhou, 310000, P.R. China.
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11
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Ali A, Manzoor S, Ali T, Asim M, Muhammad G, Ahmad A, Jamaludin MI, Devaraj S, Munawar N. Innovative aspects and applications of single cell technology for different diseases. Am J Cancer Res 2024; 14:4028-4048. [PMID: 39267684 PMCID: PMC11387862 DOI: 10.62347/vufu1836] [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: 06/21/2024] [Accepted: 08/24/2024] [Indexed: 09/15/2024] Open
Abstract
Recent developments in single-cell technologies have provided valuable insights from cancer genomics to complex microbial communities. Single-cell technologies including the RNA-seq, next-generation sequencing (NGS), epigenomics, genomics, and transcriptomics can be used to uncover the single cell nature and molecular characterization of individual cells. These technologies also reveal the cellular transition states, evolutionary relationships between genes, the complex structure of single-cell populations, cell-to-cell interaction leading to biological discoveries and more reliable than traditional bulk technologies. These technologies are becoming the first choice for the early detection of inflammatory biomarkers affecting the proliferation and progression of tumor cells in the tumor microenvironment and improving the clinical efficacy of patients undergoing immunotherapy. These technologies also hold a central position in the detection of checkpoint inhibitors and thus determining the signaling pathways evoked by tumor invasion. This review addressed the emerging approaches of single cell-based technologies in cancer immunotherapies and different human diseases at cellular and molecular levels and the emerging role of sequencing technologies leading to drug discovery. Advancements in these technologies paved for discovering novel diagnostic markers for better understanding the pathological and biochemical mechanisms also for controlling the rate of different diseases.
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Affiliation(s)
- Ashiq Ali
- Department of Histology and Embryology, Shantou University Medical College Shantou 515041, Guangdong, China
| | - Saba Manzoor
- Department of Zoology, University of Sialkot Sialkot 51310, Pakistan
| | - Tayyab Ali
- Clinico-Molecular Biochemistry Laboratory, Department of Biochemistry, University of Agriculture Faisalabad 38000, Pakistan
| | - Muhammad Asim
- Clinico-Molecular Biochemistry Laboratory, Department of Biochemistry, University of Agriculture Faisalabad 38000, Pakistan
| | - Ghulam Muhammad
- Jinnah Burn and Reconstructive Surgery Centre, Jinnah Hospital, Allama Iqbal Medical College Lahore 54000, Pakistan
| | - Aftab Ahmad
- Biochemistry/Center for Advanced Studies in Agriculture and Food Security (CAS-AFS), University of Agriculture Faisalabad 38040, Pakistan
| | - Mohamad Ikhwan Jamaludin
- BioInspired Device and Tissue Engineering Research Group (BioInspira), Department of Biomedical Engineering and Health Sciences, Faculty of Electrical Engineering, Universiti Teknologi Malaysia Johor Bahru 81310, Johor, Malaysia
| | - Sutha Devaraj
- Graduate School of Medicine, Perdana University Wisma Chase Perdana, Changkat Semantan, Damansara Heights, Kuala Lumpur 50490, Malaysia
| | - Nayla Munawar
- Department of Chemistry, College of Science, United Arab Emirates University Al-Ain 15551, United Arab Emirates
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Ye J, Huang K, Xu Y, Chen N, Tu Y, Huang J, Shao L, Kong W, Zhao D, Xie Y. Clinical application of nanopore-targeted sequencing technology in bronchoalveolar lavage fluid from patients with pulmonary infections. Microbiol Spectr 2024; 12:e0002624. [PMID: 38687074 PMCID: PMC11237526 DOI: 10.1128/spectrum.00026-24] [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: 01/04/2024] [Accepted: 04/13/2024] [Indexed: 05/02/2024] Open
Abstract
The rapid and effective identification of pathogens in patients with pulmonary infections has posed a persistent challenge in medicine, with conventional microbiological tests (CMTs) proving time-consuming and less sensitive, hindering early diagnosis of respiratory infections. While there has been some research on the clinical performance of targeted sequencing technologies, limited focus has been directed toward bronchoalveolar lavage fluid (BALF). This study primarily evaluates the pathogen detection capabilities of nanopore-targeted sequencing (NTS) in BALF, providing a comprehensive analysis. The retrospective study, spanning from January 2022 to November 2023, includes 223 patients exclusively sourced from a single center. We conducted a detailed comparative analysis among NTS, targeted next-generation sequencing (tNGS), and CMTs. Initially, we compared the detection capabilities of NTS and tNGS and found no significant differences in their sensitivity and specificity. Specifically, we observed that the sensitivity of NTS was significantly higher than that of CMTs (74.83% vs 33.11%, P < 0.001). Furthermore, NTS exhibited a higher positivity rate in common pulmonary infections (62.88% vs. 23.48%) and in clinically suspected tuberculosis patients compared to CMTs (87.18% vs. 48.72%). Additionally, NTS showed less susceptibility to antibiotic interference, indicating a more sensitive detection capability, especially in detecting fastidious organisms. It complements GeneXpert in tuberculosis diagnosis and offers excellent advantages in identifying pathogens challenging for CMTs, such as non-tuberculous mycobacteria and viruses. Moreover, NTS significantly shortens the reporting time and is only a quarter of the cost of metagenomic next-generation sequencing. Clearly, NTS can facilitate faster and more cost-effective early diagnosis of respiratory infections.IMPORTANCEThis study holds paramount significance in advancing the field of respiratory infection diagnostics. By assessing the pathogen detection capabilities in bronchoalveolar lavage fluid (BALF) of patients with pulmonary infections, we illuminate the promising potential of nanopore-targeted sequencing (NTS). The findings underscore NTS as a comparable yet distinct alternative to traditional methods like comprehensive conventional microbiological tests (CMTs). Notably, NTS demonstrates a pivotal edge, expanding the spectrum of identified pathogens, particularly excelling in the detection of challenging entities like non-tuberculous mycobacteria and viruses. The study also highlights the complementary role of NTS alongside GeneXpert in the identification of tuberculosis, providing a comprehensive overview of the diagnostic landscape for respiratory infections. This insight carries significant implications for clinicians seeking rapid, cost-effective, and accurate diagnostic tools in the realm of pulmonary infections.
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Affiliation(s)
- Jiayuan Ye
- Health Science Center, Ningbo University, Ningbo, Zhejiang, China
- Department of Infectious Diseases, Shangyu People’s Hospital Of Shaoxing, Shaoxing, Zhejiang, China
| | - Kai Huang
- Department of General Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Yaojiang Xu
- Department of Infectious Diseases, Shangyu People’s Hospital Of Shaoxing, Shaoxing, Zhejiang, China
| | - Nan Chen
- Department of Infectious Diseases, Shangyu People’s Hospital Of Shaoxing, Shaoxing, Zhejiang, China
| | - Yifei Tu
- Department of Radiology, Shangyu People’s Hospital Of Shaoxing, Shaoxing, Zhejiang, China
| | - Jing Huang
- Department of Respiratory, Shangyu People’s Hospital Of Shaoxing, Shaoxing, Zhejiang, China
| | - Longfei Shao
- Key Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Dian Diagnostics Group Co., Ltd., Hangzhou, Zhejiang, China
| | - Weiliang Kong
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Dongdong Zhao
- Department of Infectious Diseases, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yilian Xie
- Department of Infectious Diseases, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
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13
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Liu Y, Ma Y. Clinical applications of metagenomics next-generation sequencing in infectious diseases. J Zhejiang Univ Sci B 2024; 25:471-484. [PMID: 38910493 PMCID: PMC11199093 DOI: 10.1631/jzus.b2300029] [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: 01/09/2023] [Accepted: 06/06/2023] [Indexed: 05/23/2024]
Abstract
Infectious diseases are a great threat to human health. Rapid and accurate detection of pathogens is important in the diagnosis and treatment of infectious diseases. Metagenomics next-generation sequencing (mNGS) is an unbiased and comprehensive approach for detecting all RNA and DNA in a sample. With the development of sequencing and bioinformatics technologies, mNGS is moving from research to clinical application, which opens a new avenue for pathogen detection. Numerous studies have revealed good potential for the clinical application of mNGS in infectious diseases, especially in difficult-to-detect, rare, and novel pathogens. However, there are several hurdles in the clinical application of mNGS, such as: (1) lack of universal workflow validation and quality assurance; (2) insensitivity to high-host background and low-biomass samples; and (3) lack of standardized instructions for mass data analysis and report interpretation. Therefore, a complete understanding of this new technology will help promote the clinical application of mNGS to infectious diseases. This review briefly introduces the history of next-generation sequencing, mainstream sequencing platforms, and mNGS workflow, and discusses the clinical applications of mNGS to infectious diseases and its advantages and disadvantages.
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Affiliation(s)
- Ying Liu
- Department of Clinical Laboratory, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua 321000, China
| | - Yongjun Ma
- Department of Clinical Laboratory, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua 321000, China.
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14
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Ma L, Zhu C, Yan T, Hu Y, Zhou J, Li Y, Du F, Zhou J. Illumina and Nanopore sequencing in culture-negative samples from suspected lower respiratory tract infection patients. Front Cell Infect Microbiol 2024; 14:1230650. [PMID: 38638824 PMCID: PMC11024257 DOI: 10.3389/fcimb.2024.1230650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 03/14/2024] [Indexed: 04/20/2024] Open
Abstract
Objective To evaluate the diagnostic value of metagenomic sequencing technology based on Illumina and Nanopore sequencing platforms for patients with suspected lower respiratory tract infection whose pathogen could not be identified by conventional microbiological tests. Methods Patients admitted to the Respiratory and Critical Care Medicine in Shanghai Ruijin Hospital were retrospectively studied from August 2021 to March 2022. Alveolar lavage or sputum was retained in patients with clinically suspected lower respiratory tract infection who were negative in conventional tests. Bronchoalveolar lavage fluid (BALF) samples were obtained using bronchoscopy. Sputum samples were collected, while BALF samples were not available due to bronchoscopy contraindications. Samples collected from enrolled patients were simultaneously sent for metagenomic sequencing on both platforms. Results Thirty-eight patients with suspected LRTI were enrolled in this study, consisting of 36 parts of alveolar lavage and 2 parts of sputum. According to the infection diagnosis, 31 patients were confirmed to be infected with pathogens, while 7 patients were diagnosed with non-infectious disease. With regard to the diagnosis of infectious diseases, the sensitivity and specificity of Illumina and Nanopore to diagnose infection in patients were 80.6% vs. 93.5% and 42.9 vs. 28.6%, respectively. In patients diagnosed with bacterial, Mycobacterium, and fungal infections, the positive rates of Illumina and Nanopore sequencer were 71.4% vs. 78.6%, 36.4% vs. 90.9%, and 50% vs. 62.5%, respectively. In terms of pathogen diagnosis, the sensitivity and specificity of pathogens detected by Illumina and Nanopore were 55.6% vs. 77.8% and 42.9% vs. 28.6%, respectively. Among the patients treated with antibiotics in the last 2 weeks, 61.1% (11/18) and 77.8% (14/18) cases of pathogens were accurately detected by Illumina and Nanopore, respectively, among which 8 cases were detected jointly. The consistency between Illumina and diagnosis was 63.9% (23/36), while the consistency between Nanopore and diagnosis was 83.3% (30/36). Between Illumina and Nanopore sequencing methods, the consistency ratio was 55% (22/42) based on pathogen diagnosis. Conclusion Both platforms play a certain value in infection diagnosis and pathogen diagnosis of CMT-negative suspected LRTI patients, providing a theoretical basis for clinical accurate diagnosis and symptomatic treatment. The Nanopore platform demonstrated potential advantages in the identification of Mycobacterium and could further provide another powerful approach for patients with suspected Mycobacterium infection.
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Affiliation(s)
- Lichao Ma
- Department of Pulmonary and Critical Care Medicine, Wuxi Branch, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Wuxi, Jiangsu, China
| | - Chi Zhu
- State Key Laboratory of Neurology and Oncology Drug Development (Jiangsu Simcere Pharmaceutical Co., Ltd, Jiangsu Simcere Diagnostics Co., Ltd.), Jiangsu, China
- Nanjing Simcere Medical Laboratory Science Co., Ltd., Jiangsu, China
| | - Tianli Yan
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yun Hu
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Juan Zhou
- Department of Pulmonary and Critical Care Medicine, Wuxi Branch, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Wuxi, Jiangsu, China
| | - Yajing Li
- Department of Pulmonary and Critical Care Medicine, Wuxi Branch, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Wuxi, Jiangsu, China
| | - Furong Du
- State Key Laboratory of Neurology and Oncology Drug Development (Jiangsu Simcere Pharmaceutical Co., Ltd, Jiangsu Simcere Diagnostics Co., Ltd.), Jiangsu, China
| | - Jianping Zhou
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, China
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15
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Guan Y, Ma X, Sun X, Zhang H. Metagenomic next-generation sequencing on bronchoalveolar lavage fluid to contribute to diagnosis of subclinical pulmonary tuberculosis with scarce sputum and negative smear in a patient mimicking adult- onset still's disease: A case report. Diagn Microbiol Infect Dis 2024; 108:116165. [PMID: 38176299 DOI: 10.1016/j.diagmicrobio.2023.116165] [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: 10/10/2023] [Revised: 12/10/2023] [Accepted: 12/23/2023] [Indexed: 01/06/2024]
Abstract
Extremely high serum ferritin, which is regarded as a marker of adult-onset still's disease (AOSD), has been rarely observed in patients with TB. We report a case of TB diagnose by metagenomic next-generation sequencing(mNGS) who presented with clinical criteria of AOSD and extreme hyperferritinemia, which posed a diagnostic confusion. TB presenting with major clinical criteria of AOSD should be notable. Since TB remains a potentially curable disease, an awareness of its' protean manifestations is essential. A typical or even normal outcomes of clinical, microbiochemical, and radiologic evaluation should not be overlooked and dedicated diagnostic work-up should be performed for TB diagnosis. For equivocal cases, mNGS could be helpful.
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Affiliation(s)
- Yanchun Guan
- Department of Rheumatology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Xiao Ma
- Department of Anesthesia, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Xiangnan Sun
- Department of Rheumatology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Hongfeng Zhang
- Department of Rheumatology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
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Gao J, Zhao L, Chen G, Huang C, Kong W, Feng Y, Zhen G. The value of metagenomic next-generation sequencing for the diagnosis of pulmonary tuberculosis using bronchoalveolar lavage fluid. Lab Med 2024; 55:96-102. [PMID: 37267076 PMCID: PMC10771034 DOI: 10.1093/labmed/lmad041] [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] [Indexed: 06/04/2023] Open
Abstract
OBJECTIVE The aim of this study was to compare metagenomic next-generation sequencing (mNGS) with other methods, including Xpert MTB/RIF, Mycobacterium tuberculosis (MTB) culture, and acid-fast bacillus (AFB) staining in the diagnosis of pulmonary tuberculosis (PTB) using bronchoalveolar lavage fluid (BALF). METHODS The data of 186 patients with suspected PTB were retrospectively collected from January 2020 to May 2021 at Tongji Hospital. BALF samples were collected from all patients and analyzed using AFB staining, MTB culture, Xpert MTB/RIF, and mNGS. RESULTS Of the 186 patients, 38 patients were ultimately diagnosed as PTB. Metagenomic next-generation sequencing exhibited a sensitivity of 78.95%, which was higher than AFB staining (27.59%) and MTB culture (44.12%) but similar to Xpert MTB/RIF (72.73%). Utilization of combined methods demonstrates improvement for PTB diagnosis. In support of this, the area under the receiver operating characteristic curve for the combination of mNGS and MTB culture (0.933, 95% CI: 0.871, 0.995) was larger than those of mNGS, Xpert MTB/RIF, MTB culture, and the combination of Xpert MTB/RIF and MTB culture. CONCLUSION The sensitivity of mNGS in the diagnosis of PTB using BALF specimen is similar to Xpert MTB/RIF. Metagenomic next-generation sequencing in combination with MTB culture may further improve the diagnosis of pulmonary tuberculosis.
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Affiliation(s)
- Jiali Gao
- Division of Respiratory and Critical Care Medicine, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Respiratory Diseases, National Health Commission of the People’s Republic of China, and National Clinical Research Center for Respiratory Diseases, Wuhan, China
| | - Lu Zhao
- Division of Respiratory and Critical Care Medicine, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Respiratory Diseases, National Health Commission of the People’s Republic of China, and National Clinical Research Center for Respiratory Diseases, Wuhan, China
| | - Gongqi Chen
- Division of Respiratory and Critical Care Medicine, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Respiratory Diseases, National Health Commission of the People’s Republic of China, and National Clinical Research Center for Respiratory Diseases, Wuhan, China
| | - Chunli Huang
- Division of Respiratory and Critical Care Medicine, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Respiratory Diseases, National Health Commission of the People’s Republic of China, and National Clinical Research Center for Respiratory Diseases, Wuhan, China
| | - Weiqiang Kong
- Division of Respiratory and Critical Care Medicine, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Respiratory Diseases, National Health Commission of the People’s Republic of China, and National Clinical Research Center for Respiratory Diseases, Wuhan, China
| | - Yuchen Feng
- Division of Respiratory and Critical Care Medicine, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Respiratory Diseases, National Health Commission of the People’s Republic of China, and National Clinical Research Center for Respiratory Diseases, Wuhan, China
| | - Guohua Zhen
- Division of Respiratory and Critical Care Medicine, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Respiratory Diseases, National Health Commission of the People’s Republic of China, and National Clinical Research Center for Respiratory Diseases, Wuhan, China
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Zhang D, Yu F, Han D, Chen W, Yuan L, Xie M, Zheng J, Wang J, Lou B, Zheng S, Chen Y. ddPCR provides a sensitive test compared with GeneXpert MTB/RIF and mNGS for suspected Mycobacterium tuberculosis infection. Front Cell Infect Microbiol 2023; 13:1216339. [PMID: 38106477 PMCID: PMC10722159 DOI: 10.3389/fcimb.2023.1216339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 11/07/2023] [Indexed: 12/19/2023] Open
Abstract
Introduction The Metagenomics next-generation sequencing (mNGS) and GeneXpert MTB/RIF assay (Xpert) exhibited a sensitivity for tuberculosis (TB) diagnostic performance. Research that directly compared the clinical performance of ddPCR analysis, mNGS, and Xpert in mycobacterium tuberculosis complex (MTB) infection has not been conducted. Methods The study aimed to evaluate the diagnostic performance of ddPCR compared to mNGS and Xpert for the detection of MTB in multiple types of clinical samples. The final clinical diagnosis was used as the reference standard. Results Out of 236 patients with suspected active TB infection, 217 underwent synchronous testing for tuberculosis using ddPCR, Xpert, and mNGS on direct clinical samples. During follow-up, 100 out of 217 participants were diagnosed with MTB infection. Compared to the clinical final diagnosis, ddPCR produced the highest sensitivity of 99% compared with mNGS (86%) and Xpert (64%) for all active MTB cases. Discussion Twenty-two Xpert-negative samples were positive in mNGS tests, which confirmed the clinical diagnosis results from ddPCR and clinical manifestation, radiologic findings. Thirteen mNGS-negative samples were positive in ddPCR assays, which confirmed the clinical final diagnosis.ddPCR provides a higher sensitive compared to Xpert and mNGS for MTB diagnosis, as defined by the high concordance between ddPCR assay and clinical final diagnosis.
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Affiliation(s)
- Dan Zhang
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, China
- Institute of Laboratory Medicine, Zhejiang University, Hangzhou, China
| | - Fei Yu
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, China
- Institute of Laboratory Medicine, Zhejiang University, Hangzhou, China
| | - Dongsheng Han
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, China
- Institute of Laboratory Medicine, Zhejiang University, Hangzhou, China
| | - Weizhen Chen
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, China
- Institute of Laboratory Medicine, Zhejiang University, Hangzhou, China
| | - Lingjun Yuan
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Mengxiao Xie
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jieyuan Zheng
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jingchao Wang
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Bin Lou
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, China
- Institute of Laboratory Medicine, Zhejiang University, Hangzhou, China
| | - Shufa Zheng
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, China
- Institute of Laboratory Medicine, Zhejiang University, Hangzhou, China
| | - Yu Chen
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, China
- Institute of Laboratory Medicine, Zhejiang University, Hangzhou, China
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Li X, Wang C, Guo Z, Xiao T, Ji Y, Ma Y, Li M, Xia J, Liu X. Enhancing Vibrio vulnificus infection diagnosis for negative culture patients with metagenomic next-generation sequencing. Front Cell Infect Microbiol 2023; 13:1210919. [PMID: 38035326 PMCID: PMC10687401 DOI: 10.3389/fcimb.2023.1210919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 10/20/2023] [Indexed: 12/02/2023] Open
Abstract
Objective To evaluate the diagnostic value of metagenomic next-generation sequencing (mNGS) in Vibrio vulnificus (V. vulnificus) infection. Methods A retrospective analysis of patients with V. vulnificus infection at the Fifth Affiliated Hospital of Sun Yat-Sen University from January 1, 2020 to April 23, 2023 was conducted. 14 enrolled patients were diagnosed by culture or mNGS. The corresponding medical records were reviewed, and the clinical data analyzed included demographics, epidemiology laboratory findings, physical examination, symptoms at presentation, antibiotic and surgical treatment, and outcome. Results In this study, 78.6% (11/14) patients had a history of marine trauma (including fish stab, shrimp stab, crab splints and fish hook wounds), 7.1% (1/14) had eaten seafood, and the remaining 14.3% (2/14) had no definite cause. Isolation of V. vulnificus from clinical samples including blood, tissue, fester and secreta. 9 cases were positive for culture, 5 cases were detected synchronously by mNGS and got positive for V. vulnificus. 85.7% (12/14) cases accepted surgical treatment, with 1 patient suffering finger amputated. 14 enrolled patients received appropriate antibiotic therapy, and all of them had recovered and discharged. 9 strains V. vulnificus isolated in this study were sensitive to most beta-lactam antibiotics, aminoglycosides, quinolones, etc. Conclusion Vibrio vulnificus infection is a common water-exposed disease in Zhuhai, which requires identification of a number of pathogens. Of severe infections with unknown pathogen, mNGS can be used simultaneously, and the potential to detect multiple pathogens is of great help in guiding treatment.
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Affiliation(s)
- Xinghua Li
- Department of Infectious Diseases, The Fifth Affiliated Hospital of Sun Yet-sun University, Zhuhai, China
| | - Chengzhuo Wang
- Department of Infectious Diseases, The Fifth Affiliated Hospital of Sun Yet-sun University, Zhuhai, China
| | - Zhaowang Guo
- Clinical Laboratory, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
| | - Tongyang Xiao
- Clinical Laboratory, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
| | - Yuxin Ji
- Department of Infectious Diseases, The Fifth Affiliated Hospital of Sun Yet-sun University, Zhuhai, China
| | - Yongguang Ma
- Department of Orthopaedics, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
| | - Meiyi Li
- Department of Infectious Diseases, The Fifth Affiliated Hospital of Sun Yet-sun University, Zhuhai, China
| | - Jinyu Xia
- Department of Infectious Diseases, The Fifth Affiliated Hospital of Sun Yet-sun University, Zhuhai, China
| | - Xi Liu
- Department of Infectious Diseases, The Fifth Affiliated Hospital of Sun Yet-sun University, Zhuhai, China
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Zhang K, Bai YZ, Liu C, Liu SS, Lu XX, Yang RG. Composition of pathogenic microorganism in chronic osteomyelitis based on metagenomic sequencing and its application value in etiological diagnosis. BMC Microbiol 2023; 23:313. [PMID: 37891467 PMCID: PMC10612345 DOI: 10.1186/s12866-023-03046-x] [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: 08/06/2023] [Accepted: 10/06/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND Traditionally, conventional microbiological culture methods have been used to detect pathogenic microorganisms in chronic osteomyelitis. However, these methods have been found to have a low detection rate, complicating the precise guidance of infection treatment. This study employed metagenomic next-generation sequencing (mNGS) to detect these microorganisms in chronic osteomyelitis with three main objectives: 1). Gain a deeper understanding of the composition of pathogenic microorganisms in chronic osteomyelitis. 2). Compare the microbial detection rates between mNGS and the standard culture methods used in laboratories to enhance the effectiveness of the traditional culture methods. 3). Explore the potential of mNGS in etiological diagnosis. METHODS Fifty clinically confirmed intraoperative bone tissue samples of chronic osteomyelitis from January 2021 to December 2021 were collected and subjected to mNGS and microbiological testing, respectively. The orthopaedic surgeon combined clinical manifestations and related examinations to determine the causative pathogens. RESULTS The culture method obtained 29 aerobic and parthenogenic anaerobic bacteria, 3 specific anaerobic bacteria, and 1 yeast-like fungus. Thirty-six aerobic and parthenogenic anaerobic bacteria, 11 specific anaerobic bacteria, and 1 yeast-like fungus were obtained by mNGS, and 2 Mycobacterium tuberculosis(MTB) strains were detected. However, there was no significant difference in the overall positive detection rate between mNGS and the culture method (P = 0.07), and the two were not statistically significant in detecting aerobic and partly anaerobic bacteria (P = 0.625). But, mNGS was significantly superior to culture in detecting anaerobic bacteria and Mycobacterium tuberculosis (P<0.05). CONCLUSIONS The mNGS method has enhanced our understanding of the distribution of pathogenic microorganisms in chronic osteomyelitis. Traditional culture methods help isolate and cultivate aerobic and facultative anaerobic bacteria, and fungi, and are also utilized for antibacterial drug sensitivity tests. However, mNGS has shown superior capabilities in detecting anaerobic bacteria, MTB, and mixed infection bacteria. This finding offers invaluable guidance for improving laboratory microbial culture and detection conditions. Hence, mNGS should be judiciously used for chronic osteomyelitis, and PCR can be implemented for certain difficult-to-culture microorganisms, such as MTB.
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Affiliation(s)
- Kang Zhang
- Laboratory Medicine of Beijing Tongren Hospital affiliated to Capital Medical University, Beijing, China
| | - Yu-Zhe Bai
- Department of Tissue Repair and Regeneration, The First Medical Center of PLA General Hospital, Beijing, China
| | - Chang Liu
- Clinical Laboratory of Tsinghua University Hospital, Beijing, China
| | - Shan-Shan Liu
- Laboratory Medicine of Beijing Tongren Hospital affiliated to Capital Medical University, Beijing, China
| | - Xin-Xin Lu
- Laboratory Medicine of Beijing Tongren Hospital affiliated to Capital Medical University, Beijing, China.
| | - Run-Gong Yang
- Department of Tissue Repair and Regeneration, The First Medical Center of PLA General Hospital, Beijing, China
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Yang J, Ye W, Zhang C, Lin W, Mei L, Liu S, Liu J. Accuracy of Nanopore Sequencing as a Diagnostic Assay for Pulmonary Tuberculosis versus Smear, Culture and Xpert MTB/RIF: A Head-to-Head Comparison. Trop Med Infect Dis 2023; 8:441. [PMID: 37755902 PMCID: PMC10535524 DOI: 10.3390/tropicalmed8090441] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 09/02/2023] [Accepted: 09/04/2023] [Indexed: 09/28/2023] Open
Abstract
Early diagnosis of pulmonary tuberculosis (PTB) is pivotal for achieving effective tuberculosis (TB) control. This study aimed to assess the effectiveness of nanopore sequencing of sputum, bronchoalveolar lavage fluid (BALF), and pleural fluid samples for achieving early PTB diagnosis and provided head-to-head comparisons of nanopore sequencing results versus results obtained using smear, culture, and Xpert MTB/RIF assays. Patients admitted from October 2021 to April 2023 were screened for PTB using diagnostic imaging and electronic medical records. A total of 172 patients (129 PTB, 43 non-TB patients) were included in the final analysis after the exclusion of patients who did not meet the study's inclusion criteria. PTB-positive rates were determined for each assay, and then, assay diagnostic efficacies were compared. The positive MTB-detection rates obtained using nanopore sequencing were 86.8% for all samples, 62.3% for BALF, and 84.6% for pleural fluid, all of which were significantly higher than the corresponding rates obtained using the other three assays. The overall sensitivity rates, specificity rates, and area under the curve (AUC) values obtained from smear testing were 5.4%, 95.3%, and 0.504, respectively, as compared to the respective results obtained via culture (18.6%, 100.0%, and 0.593), Xpert MTB/RIF (26.4%, 97.7%, and 0.620), and nanopore sequencing (85.3%, 95.4%, and 0.903). The diagnostic efficacy of nanopore sequencing surpassed the diagnostic efficacies of smear, culture, and Xpert MTB/RIF assays. Thus, nanopore sequencing holds promise as an alternative to Xpert MTB/RIF for early PTB detection, particularly for the testing of BALF and pleural fluid samples.
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Affiliation(s)
- Juan Yang
- Department of Tuberculosis, Anhui Chest Hospital, Anhui Provincial Institute for Tuberculosis Prevention and Treatment, Hefei 230022, China; (J.Y.); (C.Z.); (W.L.); (L.M.)
| | - Wei Ye
- Department of Pathology, Anhui Chest Hospital, Anhui Provincial Institute for Tuberculosis Prevention and Treatment, Hefei 230022, China;
| | - Chao Zhang
- Department of Tuberculosis, Anhui Chest Hospital, Anhui Provincial Institute for Tuberculosis Prevention and Treatment, Hefei 230022, China; (J.Y.); (C.Z.); (W.L.); (L.M.)
| | - Wenhong Lin
- Department of Tuberculosis, Anhui Chest Hospital, Anhui Provincial Institute for Tuberculosis Prevention and Treatment, Hefei 230022, China; (J.Y.); (C.Z.); (W.L.); (L.M.)
| | - Lin Mei
- Department of Tuberculosis, Anhui Chest Hospital, Anhui Provincial Institute for Tuberculosis Prevention and Treatment, Hefei 230022, China; (J.Y.); (C.Z.); (W.L.); (L.M.)
| | - Shengsheng Liu
- Department of Tuberculosis, Anhui Chest Hospital, Anhui Provincial Institute for Tuberculosis Prevention and Treatment, Hefei 230022, China; (J.Y.); (C.Z.); (W.L.); (L.M.)
| | - Jie Liu
- Department of Tuberculosis Control and Prevention, Anhui Chest Hospital, Anhui Provincial Institute for Tuberculosis Prevention and Treatment, Hefei 230022, China
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21
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Li Y, Bian W, Wu S, Zhang J, Li D. Metagenomic next-generation sequencing for Mycobacterium tuberculosis complex detection: a meta-analysis. Front Public Health 2023; 11:1224993. [PMID: 37637815 PMCID: PMC10450767 DOI: 10.3389/fpubh.2023.1224993] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 07/24/2023] [Indexed: 08/29/2023] Open
Abstract
Objective Metagenomic next-generation sequencing (mNGS) has been gradually applied to the diagnosis of tuberculosis (TB) due to its rapid and highly sensitive characteristics. Despite numerous studies on this subject, their results vary significantly. Thus, the current meta-analysis was performed to assess the performance of the mNGS on tuberculosis. Methods PubMed, Embase, Web of Science, and The Cochrane Library were searched up to June 21, 2023. Studies utilizing the mNGS for tuberculosis detection were included. The risk of bias was assessed by QUADAS-2, and a meta-analysis was performed with STATA14.0 software. Results Seventeen studies comprising 3,205 specimens were included. The combined sensitivity and specificity of mNGS for clinical specimens were 0.69[0.58-0.79] and 1.00[0.99-1.00], respectively. Subgroup analysis identified sequencing platform, diagnostic criteria, study type, sample size, and sample types as potential sources of heterogeneity. Cerebrospinal Fluid (CSF) has a lower sensitivity of 0.58 (0.39-0.75). In a population with a 10% prevalence rate, the accuracy of sensitivity reached 94%. Conclusion Metagenomic next-generation sequencing technology exhibits high sensitivity and speed in diagnosing Mycobacterium tuberculosis. Its application in mono and mixed infections peoples shows promise, and mNGS is likely to be increasingly used to address challenges posed by Mycobacterium tuberculosis complexes in the future.
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Affiliation(s)
- Yulian Li
- College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Wentao Bian
- College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Shiping Wu
- Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Jie Zhang
- Department of Laboratory Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Dan Li
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
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Zhang X, Chen H, Lin Y, Yang M, Zhao H, Hu J, Han D. Diagnosis of Non-Tuberculous Mycobacterial Pulmonary Disease by Metagenomic Next-Generation Sequencing on Bronchoalveolar Lavage Fluid. Infect Drug Resist 2023; 16:4137-4145. [PMID: 37396070 PMCID: PMC10312351 DOI: 10.2147/idr.s417088] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 06/15/2023] [Indexed: 07/04/2023] Open
Abstract
Purpose Metagenomic next-generation sequencing (mNGS) has been extensively used in the diagnosis of infectious diseases but has rarely been applied in non-tuberculous mycobacterial pulmonary disease (NTMPD). This study analyzed the diagnostic performance of mNGS in bronchoalveolar lavage fluid (BALF) samples to identify non-tuberculous mycobacteria (NTM). Patients and Methods A total of 231 patients with suspected NTMPD were recruited from the First Affiliated Hospital, School of Medicine, Zhejiang University, from March 2021 to October 2022. A total of 118 cases were ultimately included. Of these patients, 61 cases were enrolled in the NTMPD group, 23 cases were enrolled in the suspected-NTMPD group, and 34 cases were enrolled in the non-NTMPD group. The diagnostic performance of traditional culture, acid-fast staining (AFS), and mNGS for NTMPD was assessed. Results Patients in the NTMPD group had a higher proportion of bronchiectasis (P=0.007). Among mNGS-positive samples in the NTMPD group, a significantly higher reads number of NTM was observed in AFS-positive patients [61.50 (22.00, 395.00) vs 15.50 (6.00, 36.25), P=0.008]. Meanwhile, mNGS demonstrated a sensitivity of 90.2%, which was far superior to AFS (42.0%) and culture (77.0%) (P<0.001). The specificity of mNGS in detecting NTM was 100%, which was the same as that of traditional culture. The area under the receiver operating characteristic curve of mNGS was 0.951 (95% CI 0.906-0.996), which was higher than that of culture (0.885 [95% CI 0.818-0.953]) and AFS (0.686 [95% CI 0.562-0.810]). In addition to NTM, other pulmonary pathogens were also found by mNGS. Conclusion mNGS using BALF samples is a rapid and effective diagnostic tool for NTMPD, and mNGS is recommended for patients with suspected NMTPD or NTM coinfected pneumonia.
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Affiliation(s)
- Xuan Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China
| | - Huixin Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China
| | - Yaqing Lin
- Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University Shulan International Medical College, Hangzhou, Zhejiang, People’s Republic of China
| | - Meifang Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China
| | - Hong Zhao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China
| | - Jianhua Hu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China
| | - Dongsheng Han
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China
- Key Laboratory of Clinical in vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, Zhejiang, People’s Republic of China
- Institute of Laboratory Medicine, Zhejiang University, Hangzhou, Zhejiang, People’s Republic of China
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Jin Y, Hu S, Feng J, Ni J. Clinical Value of Metagenomic Next-Generation Sequencing Using Spinal Tissue in the Rapid Diagnosis of Spinal Tuberculosis. Infect Drug Resist 2023; 16:3305-3313. [PMID: 37274359 PMCID: PMC10237199 DOI: 10.2147/idr.s410914] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Accepted: 05/25/2023] [Indexed: 06/06/2023] Open
Abstract
Purpose To evaluate the accuracy of metagenomic next-generation sequencing (mNGS) for rapid diagnosis of spinal tuberculosis using spinal tissue specimens. Methods Medical data regarding suspected spinal tuberculosis were retrospectively analyzed. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the curve (AUC) of mNGS were calculated to determine its diagnostic efficacy, and these values were compared with culture and composite reference standard (CRS). Results Two hundred and three cases of spinal tuberculosis were included for analysis. The sensitivity, specificity, PPV, NPV, and AUC of mNGS compared with culture were all very good. When CRS was used for the comparison, the sensitivity of mNGS and culture were 71.2% and 73.0%; the specificity and PPV were 100% in all cases; the NPV were 74.2% and 75.4%; the AUCs were all 0.86. The sensitivity and NPV of culture were slightly higher than that of mNGS; however, the diagnostic efficacy of mNGS and culture was consistent (P > 0.05). Conclusion Spinal tissue specimens for mNGS testing had very good accuracy for diagnosing spinal tuberculosis.
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Affiliation(s)
- Yanghui Jin
- Department of Orthopaedics, Affiliated Hangzhou Chest Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China
| | - Shengping Hu
- Department of Orthopaedics, Affiliated Hangzhou Chest Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China
| | - Junkai Feng
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People’s Republic of China
| | - Jianjun Ni
- Department of Pharmacy, Affiliated Hangzhou Chest Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China
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Su J, Lui WW, Lee Y, Zheng Z, Siu GKH, Ng TTL, Zhang T, Lam TTY, Lao HY, Yam WC, Tam KKG, Leung KSS, Lam TW, Leung AWS, Luo R. Evaluation of Mycobacterium tuberculosis enrichment in metagenomic samples using ONT adaptive sequencing and amplicon sequencing for identification and variant calling. Sci Rep 2023; 13:5237. [PMID: 37002338 PMCID: PMC10066345 DOI: 10.1038/s41598-023-32378-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 03/27/2023] [Indexed: 04/03/2023] Open
Abstract
Sensitive detection of Mycobacterium tuberculosis (TB) in small percentages in metagenomic samples is essential for microbial classification and drug resistance prediction. However, traditional methods, such as bacterial culture and microscopy, are time-consuming and sometimes have limited TB detection sensitivity. Oxford nanopore technologies (ONT) MinION sequencing allows rapid and simple sample preparation for sequencing. Its recently developed adaptive sequencing selects reads from targets while allowing real-time base-calling to achieve sequence enrichment or depletion during sequencing. Another common enrichment method is PCR amplification of the target TB genes. In this study, we compared both methods using ONT MinION sequencing for TB detection and variant calling in metagenomic samples using both simulation runs and those with synthetic and patient samples. We found that both methods effectively enrich TB reads from a high percentage of human (95%) and other microbial DNA. Adaptive sequencing with readfish and UNCALLDE achieved a 3.9-fold and 2.2-fold enrichment compared to the control run. We provide a simple automatic analysis framework to support the detection of TB for clinical use, openly available at https://github.com/HKU-BAL/ONT-TB-NF . Depending on the patient's medical condition and sample type, we recommend users evaluate and optimize their workflow for different clinical specimens to improve the detection limit.
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Affiliation(s)
- Junhao Su
- Department of Computer Science, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - Wui Wang Lui
- Department of Computer Science, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - YanLam Lee
- Department of Computer Science, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - Zhenxian Zheng
- Department of Computer Science, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - Gilman Kit-Hang Siu
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China
| | - Timothy Ting-Leung Ng
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China
| | - Tong Zhang
- Department of Computer Science and Engineering, Department of Mathematics, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong SAR, China
| | - Tommy Tsan-Yuk Lam
- State Key Laboratory of Emerging Infectious Diseases, School of Public Health, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health Limited, 19W Hong Kong Science & Technology Parks, Pak Shek Kok, Hong Kong SAR, China
| | - Hiu-Yin Lao
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China
| | - Wing-Cheong Yam
- Department of Microbiology, Lee Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - Kingsley King-Gee Tam
- Department of Microbiology, Lee Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - Kenneth Siu-Sing Leung
- Department of Microbiology, Lee Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - Tak-Wah Lam
- Department of Computer Science, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - Amy Wing-Sze Leung
- Department of Computer Science, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China.
| | - Ruibang Luo
- Department of Computer Science, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China.
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Ao Z, Xu H, Li M, Liu H, Deng M, Liu Y. Clinical characteristics, diagnosis, outcomes and lung microbiome analysis of invasive pulmonary aspergillosis in the community-acquired pneumonia patients. BMJ Open Respir Res 2023; 10:e001358. [PMID: 36828645 PMCID: PMC9972439 DOI: 10.1136/bmjresp-2022-001358] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 01/06/2023] [Indexed: 02/26/2023] Open
Abstract
BACKGROUND Invasive pulmonary aspergillosis (IPA) remains underestimated in patients with community-acquired pneumonia (CAP). This study aims to describe clinical features and outcomes of IPA in CAP patients, assess diagnostic performance of metagenomic next-generation sequencing (mNGS) for IPA and analyse lung microbiome via mNGS data. METHODS This retrospective cohort study included CAP patients from 22 April 2019 to 30 September 2021. Clinical and microbiological data were analysed. Diagnostic performance of mNGS was compared with traditional detection methods. The lung microbiome detected by mNGS was characterised and its association with clinical features was evaluated. MAIN RESULTS IPA was diagnosed in 26 (23.4%) of 111 CAP patients. Patients with IPA displayed depressed immunity, higher hospital mortality (30.8% vs 11.8%) and intensive care unit mortality (42.1% vs 17.5%) compared with patients without IPA. The galactomannan (GM) antigen test had the highest sensitivity (57.7%) in detecting the Aspergillus spp, followed by mNGS (42.3%), culture (30.8%) and smear (7.7%). The mNGS, culture and smear had 100% specificity, while GM test had 92.9% specificity. The microbial structure of IPA significantly differed from non-IPA patients (p<0.001; Wilcoxon test). Nineteen different species were significantly correlated with clinical outcomes and laboratory biomarkers, particularly for Streptococcus salivarius, Prevotella timonensis and Human betaherpesvirus 5. CONCLUSIONS Our results reveal that patients with Aspergillus infection tend to have a higher early mortality rate. The mNGS may be suggested as a complement to routine microbiological test in diagnosis of patients at risk of Aspergillus infection. The lung microbiota is associated with inflammatory, immune and metabolic conditions of IPA, and thus influences clinical outcomes.
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Affiliation(s)
- Zhi Ao
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Huan Xu
- Department of Scientific Affairs, Vision Medicals for Infection Diseases, Guangzhou, China
| | - Mengqi Li
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Huifang Liu
- Department of Scientific Affairs, Vision Medicals for Infection Diseases, Guangzhou, China
| | - Min Deng
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yuliang Liu
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Wang C, Yan D, Huang J, Yang N, Shi J, Pan S, Lin G, Liu Y, Zhang Y, Bian X, Song Q, Qian G. The clinical application of metagenomic next-generation sequencing in infectious diseases at a tertiary hospital in China. Front Cell Infect Microbiol 2022; 12:957073. [PMID: 36601307 PMCID: PMC9806342 DOI: 10.3389/fcimb.2022.957073] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 11/25/2022] [Indexed: 12/23/2022] Open
Abstract
Background Compared with traditional diagnostic methods (TDMs), rapid diagnostic methods for infectious diseases (IDs) are urgently needed. Metagenomic next-generation sequencing (mNGS) has emerged as a promising diagnostic technology for clinical infections. Methods This retrospective observational study was performed at a tertiary hospital in China between May 2019 and August 2022. The chi-square test was used to compare the sensitivity and specificity of mNGS and TDMs. We also performed a subgroup analysis of the different pathogens and samples. Results A total of 435 patients with clinical suspicion of infection were enrolled and 372 (85.5%) patients were finally categorized as the ID group. The overall sensitivity of mNGS was significantly higher than that of the TDMs (59.7% vs. 30.1%, P < 0.05). However, there was no significant difference in the overall specificity between the two methods (83.3% vs. 89.6%, P = 0.37). In patients with identified pathogens, the positive rates of mNGS for detecting bacteria (88.7%), fungi (87.9%), viruses (96.9%), and Nontuberculous mycobacteria (NTM; 100%) were significantly higher than those of TDMs (P < 0.05). The positive rate of mNGS for detecting Mycobacterium tuberculosis was not superior to that of TDMs (77.3% vs. 54.5%, P = 0.11). The sensitivity rates of mNGS for pathogen identification in bronchoalveolar lavage fluid, blood, cerebrospinal fluid, pleural fluid, and tissue were 72.6%, 39.3%, 37.5%, 35.0% and 80.0%, respectively. Conclusion With the potential for screening multiple clinical samples, mNGS has an overall advantage over TDMs. It can effectively identify pathogens, especially those that are difficult to identify using TDMs, such as NTM, chlamydia, and parasites.
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Affiliation(s)
- Chuwen Wang
- School of Medicine, Ningbo University, Ningbo, Zhejiang, China
| | - Danying Yan
- Department of Infectious Diseases, Ningbo First Hospital, Ningbo University, Ningbo, Zhejiang, China
| | - Jiajia Huang
- School of Medicine, Ningbo University, Ningbo, Zhejiang, China
| | - Naibin Yang
- Department of Infectious Diseases, Ningbo First Hospital, Ningbo University, Ningbo, Zhejiang, China
| | - Jiejun Shi
- Department of Infectious Diseases, Ningbo First Hospital, Ningbo University, Ningbo, Zhejiang, China
| | - Shou Pan
- Hangzhou DIAN Medical Laboratory, Hangzhou, China
| | - Gaoqiang Lin
- Vision Medicals Center for Infectious Diseases, Guangzhou, Guangdong, China
| | - Ying Liu
- School of Medicine, Ningbo University, Ningbo, Zhejiang, China
| | - Yingying Zhang
- School of Medicine, Ningbo University, Ningbo, Zhejiang, China
| | - Xueyan Bian
- Department of Nephrology, Ningbo First Hospital, Ningbo University, Ningbo, Zhejiang, China,*Correspondence: Guoqing Qian, ; Qifa Song, ; Xueyan Bian,
| | - Qifa Song
- Medical Data Center, Ningbo First Hospital, Ningbo University, Ningbo, China,*Correspondence: Guoqing Qian, ; Qifa Song, ; Xueyan Bian,
| | - Guoqing Qian
- School of Medicine, Ningbo University, Ningbo, Zhejiang, China,Department of Infectious Diseases, Ningbo First Hospital, Ningbo University, Ningbo, Zhejiang, China,*Correspondence: Guoqing Qian, ; Qifa Song, ; Xueyan Bian,
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Li S, Qin J, Zhou P, Peng M, Qian J, Cai Y, Shi Q, Tung TH, Shen B, Yu S. The clinical significance of in-house metagenomic next-generation sequencing for bronchoalveolar lavage fluid diagnostics in patients with lower respiratory tract infections. Front Cell Infect Microbiol 2022; 12:961746. [PMID: 36590589 PMCID: PMC9801411 DOI: 10.3389/fcimb.2022.961746] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 11/18/2022] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE Metagenomic next-generation sequencing (mNGS) technology has the potential to detect a wide range of pathogenic microorganisms. However, reports on the diagnostic value and clinical significance of different platforms of mNGS for patients with lower respiratory tract infections (LRTIs) remain scarce. METHODS A total of 306 patients with suspected LRTIs were enrolled from January 2019 to December 2021. The diagnostic performance of conventional methods and mNGS on bronchoalveolar lavage fluid (BALF) were compared. BALF mNGS was performed using a commercial and an in-house laboratory. The diagnostic value and the clinical implications of mNGS for LRTIs were analyzed for the different platforms. RESULTS The positive rate of mNGS in the in-house group was higher than that in the commercial group (85.26% vs. 70.67%, p < 0.001). mNGS significantly increased the pathogen detection rate compared with conventional methods [from 70.67% vs. 22.67% (p < 0.001) to 85.26% vs. 30.77% (p < 0.001)]. The pathogens detected using mNGS included bacteria, fungi, viruses, and atypical pathogens. The in-house platform performed well on a wider spectrum of microbial distribution. Furthermore, it showed an advantage in detecting mixed pathogens in immunocompromised patients. Among the mNGS positive cases, 34 (32.0%) cases had their antibiotics adjusted in the commercial group, while 51 (38.3%) cases had a change of treatment in the in-house group. Moreover, the turnaround time of mNGS and the time from mNGS to discharge in the in-house group were significantly shorter than those in the commercial group. CONCLUSION In-house mNGS had a higher detection rate and can show a wider spectrum of pathogens, with potential benefits for the clinic by shortening the turnaround time and hospitalization, and it may be more suitable for clinical microbiology laboratories.
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Affiliation(s)
- Shixiao Li
- Department of Clinical Microbiology Laboratory, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China
| | - Jiajia Qin
- Department of Clinical Microbiology Laboratory, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China
| | - Peng Zhou
- Department of Pharmacy, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China
| | - Minfei Peng
- Department of Clinical Microbiology Laboratory, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China
| | - Jiao Qian
- Department of Clinical Microbiology Laboratory, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China
| | - Yingying Cai
- Department of Clinical Microbiology Laboratory, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China
| | - Qingxin Shi
- Department of Clinical Microbiology Laboratory, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China
| | - Tao-Hsin Tung
- Evidence-Based Medicine Center, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China
| | - Bo Shen
- Department of Clinical Microbiology Laboratory, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China
| | - Sufei Yu
- Department of Clinical Microbiology Laboratory, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China
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Qu C, Chen Y, Ouyang Y, Huang W, Liu F, Yan L, Lu R, Zeng Y, Liu Z. Metagenomics next-generation sequencing for the diagnosis of central nervous system infection: A systematic review and meta-analysis. Front Neurol 2022; 13:989280. [PMID: 36203993 PMCID: PMC9530978 DOI: 10.3389/fneur.2022.989280] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 08/29/2022] [Indexed: 11/13/2022] Open
Abstract
Objective It is widely acknowledged that central nervous system (CNS) infection is a serious infectious disease accompanied by various complications. However, the accuracy of current detection methods is limited, leading to delayed diagnosis and treatment. In recent years, metagenomic next-generation sequencing (mNGS) has been increasingly adopted to improve the diagnostic yield. The present study sought to evaluate the value of mNGS in CNS infection diagnosis. Methods Following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) 2022 guidelines, we searched relevant articles published in seven databases, including PubMed, Web of Science, and Cochrane Library, published from January 2014 to January 2022. High-quality articles related to mNGS applications in the CNS infection diagnosis were included. The comparison between mNGS and the gold standard of CNS infection, such as culture, PCR or serology, and microscopy, was conducted to obtain true positive (TP), true negative (TN), false positive (FP), and false negative (FN) values, which were extracted for sensitivity and specificity calculation. Results A total of 272 related studies were retrieved and strictly selected according to the inclusion and exclusion criteria. Finally, 12 studies were included for meta-analysis and the pooled sensitivity was 77% (95% CI: 70–82%, I2 = 39.69%) and specificity was 96% (95% CI: 93–98%, I2 = 72.07%). Although no significant heterogeneity in sensitivity was observed, a sub-group analysis was conducted based on the pathogen, region, age, and sample pretreatment method to ascertain potential confounders. The area under the curve (AUC) of the summary receiver operating characteristic curve (SROC) of mNGS for CNS infection was 0.91 (95% CI: 0.88–0.93). Besides, Deek's Funnel Plot Asymmetry Test indicated no publication bias in the included studies (Figure 3, p > 0.05). Conclusion Overall, mNGS exhibits good sensitivity and specificity for diagnosing CNS infection and diagnostic performance during clinical application by assisting in identifying the pathogen. However, the efficacy remains inconsistent, warranting subsequent studies for further performance improvement during its clinical application. Study registration number INPLASY202120002
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Affiliation(s)
- Chunrun Qu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- Xiangya School of Medicine, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Yu Chen
- Xiangya School of Medicine, Central South University, Changsha, China
| | - Yuzhen Ouyang
- Xiangya School of Medicine, Central South University, Changsha, China
| | - Weicheng Huang
- Xiangya School of Medicine, Central South University, Changsha, China
| | - Fangkun Liu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Luzhe Yan
- Xiangya School of Medicine, Central South University, Changsha, China
| | - Ruoyu Lu
- Xiangya School of Medicine, Central South University, Changsha, China
| | - Yu Zeng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- *Correspondence: Yu Zeng
| | - Zhixiong Liu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Zhixiong Liu
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Bhar A. The application of next generation sequencing technology in medical diagnostics: a perspective. PROCEEDINGS OF THE INDIAN NATIONAL SCIENCE ACADEMY 2022. [PMCID: PMC9395867 DOI: 10.1007/s43538-022-00098-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Rapid isolation, characterization, and identification are prerequisites of any successful medical intervention to infectious disease treatment. This is a real challenge to the scientific as well as a medical community to find out a proper and robust method of pathogen detection. Classical cultural, as well as biochemical test-based identification, has its own limitations to their time-consuming and ineffectiveness for closely related pathovars. Molecular diagnostics became a popular alternative to classical techniques for the past couple of decades but it required some prior information to detect the pathogen successfully. Recently, with the advent of next-generation sequencing (NGS) technology identification, and characterization of almost all the pathogenic bacteria become possible without any information a priori. Metagenomic next generation sequencing is another specialized type of NGS that is profoundly utilized in medical biotechnology and diagnostics now a days. Therefore, the present review is focused on a brief introduction to NGS technology, its application in medical microbiology, and possible future aspects for the development of medical sciences.
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Affiliation(s)
- Anirban Bhar
- Post Graduate Department of Botany, Ramakrishna Mission Vivekananda Centenary College, Rahara, Kolkata 700118 India
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Wei W, Cao J, Wu XC, Cheng LP, Shen XN, Sha W, Sun Q. Diagnostic performance of metagenomic next-generation sequencing in non-tuberculous mycobacterial pulmonary disease when applied to clinical practice. Infection 2022; 51:397-405. [PMID: 35913608 PMCID: PMC10042946 DOI: 10.1007/s15010-022-01890-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 07/13/2022] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To compare non-tuberculous mycobacterial pulmonary disease (NTMPD) diagnosis by metagenomic next-generation sequencing (mNGS) with Bactec mycobacterial growth indicator tube (MGIT) 960. METHODS A total of 422 patients with suspected NTMPD in Shanghai Pulmonary Hospital between January 2020 and May 2021 were retrospectively analyzed; 194 were diagnosed with NTMPD. The diagnostic performance of mNGS and MGIT 960 for NTMPD was assessed. Receiver operating characteristic (ROC) curves and areas under curve (AUCs) were compared. RESULTS The sensitivity of mNGS in NTMPD diagnosis was 81.4% and higher than that of MGIT 960 (53.6%). The specificity of mNGS in NTMPD diagnosis was 97.8%, similar to that of MGIT 960 (100%). The sensitivity of combined mNGS and MGIT 960 in NTMPD diagnosis was 91.8%. The sensitivity of mNGS for bronchoalveolar lavage fluid (BALF), pulmonary puncture tissue fluid, and sputum was 84.8%, 80.6%, and 77.5%, respectively; all were higher than that of MGIT 960 (P < 0.05). The AUC of mNGS and MGIT 960 was 0.897 and 0.768, respectively. The AUC of mNGS were BALF (0.916), pulmonary puncture tissue fluid (0.903), and sputum (0.870). CONCLUSION The sensitivity of mNGS was superior to that of Bactec MGIT 960; the specificity in NTMPD diagnosis was similar. mNGS shows effective performance in NTMPD diagnosis.
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Affiliation(s)
- Wei Wei
- Shanghai Clinical Research Center for Infectious Disease (Tuberculosis), Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
| | - Jie Cao
- Shanghai Clinical Research Center for Infectious Disease (Tuberculosis), Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
| | - Xiao-Cui Wu
- Department of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Li-Ping Cheng
- Shanghai Clinical Research Center for Infectious Disease (Tuberculosis), Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
| | - Xiao-Na Shen
- Shanghai Clinical Research Center for Infectious Disease (Tuberculosis), Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
| | - Wei Sha
- Shanghai Clinical Research Center for Infectious Disease (Tuberculosis), Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
| | - Qin Sun
- Shanghai Clinical Research Center for Infectious Disease (Tuberculosis), Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
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Qiu X, Zheng S, Yang J, Yu G, Ye Y. Comparing Mycobacterium tuberculosis RNA Accuracy in Various Respiratory Specimens for the Rapid Diagnosis of Pulmonary Tuberculosis. Infect Drug Resist 2022; 15:4195-4202. [PMID: 35946035 PMCID: PMC9357383 DOI: 10.2147/idr.s374826] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 07/26/2022] [Indexed: 11/23/2022] Open
Abstract
Objective To evaluate the rapid diagnostic accuracy of Mycobacterium tuberculosis RNA (TB-RNA) for pulmonary tuberculosis (PTB) in a large patient sample and to evaluate the difference in TB-RNA diagnostic accuracy in various respiratory specimens. Methods Patient medical records were retrospectively reviewed to determine the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the curve (AUC) of the acid-fast bacillus (AFB) smear and TB-RNA to evaluate their diagnostic accuracy against final clinical diagnosis. Results Of the 2336 patients ultimately included, 1123 provided 1 sputum specimen each and 1213 provided 1 bronchoalveolar lavage fluid (BALF) specimen each. The overall sensitivity, specificity, PPV, NPV, and AUC of the AFB smear were 36.2%, 86.4%, 90.6%, 27.3%, and 0.61, respectively. The overall sensitivity, specificity, PPV, NPV, and AUC of TB-RNA for the rapid detection of PTB were 57.4%, 99.4%, 99.7%, 39.3%, and 0.78, respectively. When sputum and BALF specimens were used for AFB smear testing, the sensitivity, specificity, PPV, NPV, and AUC of the AFB smear were 44.5%, 81.5%, 87.5%, 33.5%, and 0.63; and 29.2%, 92.7%, 94.8%, 22.5%, and 0.61, respectively. The sensitivity, specificity, PPV, NPV, and AUC of TB-RNA for the rapid detection of PTB using sputum were 49.6%, 99.3%, 99.5%, 40.4%, and 0.74, respectively; whereas those of TB-RNA determined using BALF were 63.9%, 99.5%, 99.8%, 38.0%, and 0.82, respectively. Conclusion The diagnostic accuracy of TB-RNA for PTB was moderate and considerably better than that of the AFB smear. The diagnostic accuracy of TB-RNA for various respiratory specimens differed; the diagnostic accuracy of TB-RNA for BALF specimens was substantially better than that for sputum samples, and BALF specimens were more suitable for TB-RNA.
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Affiliation(s)
- Xiaowei Qiu
- Department of Radiology, Affiliated Hangzhou Chest Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Sipei Zheng
- The Second School of Medicine, Wenzhou Medical University, Wenzhou, People’s Republic of China
| | - Jun Yang
- Zhejiang Tuberculosis Diagnosis and Treatment Center, Affiliated Hangzhou Chest Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Guocan Yu
- Zhejiang Tuberculosis Diagnosis and Treatment Center, Affiliated Hangzhou Chest Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Correspondence: Guocan Yu, Zhejiang Tuberculosis Diagnosis and Treatment Center, Affiliated Hangzhou Chest Hospital, Zhejiang University School of Medicine, No. 208 East Huancheng Road, Hangzhou, People’s Republic of China, Email
| | - Yiming Ye
- Clinical Medical Examination Laboratory Center, Affiliated Hangzhou Chest Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Yiming Ye, Clinical Medical Examination Laboratory Center, Affiliated Hangzhou Chest Hospital, Zhejiang University School of Medicine, No. 208 East Huancheng Road, Hangzhou, People’s Republic of China, Email
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Chen S, Kang Y, Li D, Li Z. Diagnostic performance of metagenomic next-generation sequencing for the detection of pathogens in bronchoalveolar lavage fluid in patients with pulmonary infections: Systematic review and meta-analysis. Int J Infect Dis 2022; 122:867-873. [PMID: 35907477 DOI: 10.1016/j.ijid.2022.07.054] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 07/04/2022] [Accepted: 07/21/2022] [Indexed: 10/16/2022] Open
Abstract
BACKGROUND The identification of pathogens in patients with pulmonary infection has always been a major challenge in medicine. Compared with sputum and throat swabs, bronchoalveolar lavage fluid (BALF) can better reflect the actual state in the lungs. However, there has not been a meta-analysis of the diagnostic efficacy of metagenomic next-generation sequencing (mNGS) in detecting pathogens in BALF from patients with pulmonary infections. METHODS Data sources were PubMed, Web of Science, Embase, and the China National Knowledge Infrastructure. The pooled sensitivity and specificity were estimated by using random-effects or fixed-effect models. Subgroup analysis was performed to reveal the effect of potential explanatory factors on the diagnostic performance measures. RESULTS The pooled sensitivity was 78% (95% confidence interval: 67-87%; I2 = 92%) and the pooled specificity was 77% (95% confidence interval: 64-94%; I2 = 74%) for mNGS. Subgroup analyses for the sensitivity of mNGS revealed that patients with pulmonary infections who were severely ill or immunocompromised significantly affected heterogeneity (P < 0.001). The positive detection rate of mNGS for pathogens in BALF of severely or immunocompromised pulmonary-infected patients was 92% (95% confidence interval: 78-100%). CONCLUSION mNGS has high diagnostic performance for BALF pathogens in patients with pulmonary infections, especially in critically ill or immunocompromised patients.
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Affiliation(s)
- Shenglin Chen
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping, Beijing 102206, China; School of Public Health, Shanxi Medical University, 56 Xinjiannanlu Street, Taiyuan 030001, Shanxi, People's Republic of China
| | - Yutong Kang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping, Beijing 102206, China
| | - Dan Li
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping, Beijing 102206, China
| | - Zhenjun Li
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping, Beijing 102206, China; School of Public Health, Shanxi Medical University, 56 Xinjiannanlu Street, Taiyuan 030001, Shanxi, People's Republic of China.
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Xu P, Yang K, Yang L, Wang Z, Jin F, Wang Y, Feng J. Next-Generation Metagenome Sequencing Shows Superior Diagnostic Performance in Acid-Fast Staining Sputum Smear-Negative Pulmonary Tuberculosis and Non-tuberculous Mycobacterial Pulmonary Disease. Front Microbiol 2022; 13:898195. [PMID: 35847073 PMCID: PMC9283093 DOI: 10.3389/fmicb.2022.898195] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 06/07/2022] [Indexed: 11/23/2022] Open
Abstract
In this study, we explored the clinical value of next-generation metagenome sequencing (mNGS) using bronchoalveolar lavage fluid (BALF) samples from patients with acid-fast staining (AFS) sputum smear-negative pulmonary tuberculosis (PTB) and non-tuberculous mycobacterial pulmonary disease (NTM-PD). Data corresponding to hospitalized patients with pulmonary infection admitted to the hospital between July 2018 and July 2021, who were finally diagnosed with AFS sputum smear-negative PTB and NTM-PD, were retrospectively analyzed. Bronchoscopy data as well as mNGS, Xpert, AFS (BALF analysis), and T-SPOT (blood) data, were extracted from medical records. Thereafter, the diagnostic performances of these methods with respect to PTB and NTM-PD were compared. Seventy-one patients with PTB and 23 with NTM-PD were included in the study. The sensitivities of mNGS, Xpert, T-SPOT, and AFS for the diagnosis of PTB were 94.4% (67/71), 85.9% (61/71), 64.8% (46/71), and 28.2% (20/71), respectively, and the diagnostic sensitivity of mNGS combined with Xpert was the highest (97.2%, 67/71). The specificity of Xpert was 100%, while those of AFS and T-SPOT were 73.9% (17/23) and 91.3% (21/23), respectively. Further, the 23 patients with NTM-PD could be identified using mNGS, and in the population with immunosuppression, the sensitivities of mNGS, Xpert, T-SPOT, and AFS were 93.5% (29/31), 80.6% (25/31), 48.4% (15/31), and 32.3% (10/31), respectively, and the diagnostic sensitivity of mNGS combined with Xpert was the highest (100%, 31/31). The specificities of Xpert and T-SPOT in this regard were both 100%, while that of AFS was 40% (2/5). Furthermore, using mNGS, all the NTM samples could be identified. Thus, the analysis of BALF samples using mNGS has a high accuracy in the differential diagnosis of MTB and NTM. Further, mNGS combined with Xpert can improve the detection of MTB, especially in AFS sputum smear-negative samples from patients with compromised immune states or poor responses to empirical antibiotics.
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Affiliation(s)
- Peng Xu
- Department of Respiratory and Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| | - Ke Yang
- Department of Respiratory and Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Lei Yang
- Department of Respiratory and Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhongli Wang
- Department of Respiratory and Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China
- Department of Respiratory and Critical Care Medicine, Shandong Second Provincial General Hospital, Jinan, China
| | - Fang Jin
- Department of Respiratory and Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Yubao Wang
- Institute of Infectious Diseases, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Jing Feng
- Department of Respiratory and Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China
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Li Y, Jiao M, Liu Y, Ren Z, Li A. Application of Metagenomic Next-Generation Sequencing in Mycobacterium tuberculosis Infection. Front Med (Lausanne) 2022; 9:802719. [PMID: 35433724 PMCID: PMC9010669 DOI: 10.3389/fmed.2022.802719] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 02/22/2022] [Indexed: 11/13/2022] Open
Abstract
The fight against Mycobacterium tuberculosis (MTB) has been going on for thousands of years, while it still poses a threat to human health. In addition to routine detections, metagenomic next-generation sequencing (mNGS) has begun to show presence as a comprehensive and hypothesis-free test. It can not only detect MTB without isolating specific pathogens but also suggest the co-infection pathogens or underlying tumor simultaneously, which is of benefit to assist in comprehensive clinical diagnosis. It also shows the potential to detect multiple drug resistance sites for precise treatment. However, considering the cost performance compared with conventional assays (especially Xpert MTB/RIF), mNGS seems to be overqualified for patients with mild and typical symptoms. Technology optimization of sequencing and analyzing should be conducted to improve the positive rate and broaden the applicable fields.
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Affiliation(s)
- Yaoguang Li
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Gene Hospital of Henan Province, Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Mengfan Jiao
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Gene Hospital of Henan Province, Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ying Liu
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Gene Hospital of Henan Province, Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhigang Ren
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ang Li
- Gene Hospital of Henan Province, Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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35
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Zheng Y, Qiu X, Wang T, Zhang J. The Diagnostic Value of Metagenomic Next-Generation Sequencing in Lower Respiratory Tract Infection. Front Cell Infect Microbiol 2021; 11:694756. [PMID: 34568089 PMCID: PMC8458627 DOI: 10.3389/fcimb.2021.694756] [Citation(s) in RCA: 66] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 08/24/2021] [Indexed: 01/04/2023] Open
Abstract
Lower respiratory tract infections are associated with high morbidity and mortality and significant clinical harm. Due to the limited ability of traditional pathogen detection methods, anti-infective therapy is mostly empirical. Therefore, it is difficult to adopt targeted drug therapy. In recent years, metagenomic next-generation sequencing (mNGS) technology has provided a promising means for pathogen-specific diagnosis and updated the diagnostic strategy for lower respiratory tract infections. This article reviews the diagnostic value of mNGS for lower respiratory tract infections, the impact of different sampling methods on the detection efficiency of mNGS, and current technical difficulties in the clinical application of mNGS.
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Affiliation(s)
- Yan Zheng
- Department of Respiratory and Critical Care, Beijing Tian Tan Hospital, Capital Medical University, Beijing, China
| | - Xiaojian Qiu
- Department of Respiratory and Critical Care, Beijing Tian Tan Hospital, Capital Medical University, Beijing, China
| | - Ting Wang
- Department of Respiratory and Critical Care, Beijing Tian Tan Hospital, Capital Medical University, Beijing, China
| | - Jie Zhang
- Department of Respiratory and Critical Care, Beijing Tian Tan Hospital, Capital Medical University, Beijing, China
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Ding L, Liu Y, Wu X, Wu M, Luo X, Ouyang H, Xia J, Liu X, Ding T. Pathogen Metagenomics Reveals Distinct Lung Microbiota Signatures Between Bacteriologically Confirmed and Negative Tuberculosis Patients. Front Cell Infect Microbiol 2021; 11:708827. [PMID: 34589441 PMCID: PMC8475726 DOI: 10.3389/fcimb.2021.708827] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 07/20/2021] [Indexed: 11/13/2022] Open
Abstract
Understanding the dynamics of lung microbiota in tuberculosis patients, especially those who cannot be confirmed bacteriologically in clinical practice, is imperative for accurate diagnosis and effective treatment. This study aims to characterize the distinct lung microbial features between bacteriologically confirmed and negative tuberculosis patients to understand the influence of microbiota on tuberculosis patients. We collected specimens of bronchoalveolar lavage fluid from 123 tuberculosis patients. Samples were subjected to metagenomic next-generation sequencing to reveal the lung microbial signatures. By combining conventional bacterial detection and metagenomic sequencing, 101/123 (82%) tuberculosis patients were bacteriologically confirmed. In addition to Mycobacterium tuberculosis, Staphylococcus aureus, Kluyveromyces lactis, and Pyricularia pennisetigena were also enriched in the bacteriological confirmation group. In contrast, Haemophilus parainfluenzae was enriched in the bacteriologically negative group. Besides, microbial interaction exhibits a different state between bacteriologically confirmed and negative tuberculosis patients. Mycobacterium tuberculosis was confirmed correlated with clinical characteristics such as albumin and chest cavities. Our study comprehensively demonstrates the correlation between unique features of lung microbial dynamics and the clinical characteristics of tuberculosis patients, suggesting the importance of studying the pulmonary microbiome in tuberculosis disease and providing new insights for future precision diagnosis and treatment.
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Affiliation(s)
- Li Ding
- Program of Infectious Diseases, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, China
- Department of Infectious Diseases, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
| | - Yanmin Liu
- Program of Infectious Diseases, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, China
- Department of Immunology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Xiaorong Wu
- Program of Infectious Diseases, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, China
- Department of Immunology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Minhao Wu
- Program of Infectious Diseases, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, China
- Department of Immunology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Xiaoqing Luo
- Program of Infectious Diseases, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Department of Infectious Diseases, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
| | - Hui Ouyang
- Program of Infectious Diseases, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Department of Infectious Diseases, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
| | - Jinyu Xia
- Program of Infectious Diseases, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, China
- Department of Infectious Diseases, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
| | - Xi Liu
- Program of Infectious Diseases, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, China
- Department of Infectious Diseases, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
| | - Tao Ding
- Program of Infectious Diseases, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, China
- Department of Immunology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
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Huang M, Ma J, Jiao J, Li C, Chen L, Zhu Z, Ruan F, Xing L, Zheng X, Fu M, Ma B, Gan C, Mao Y, Zhang C, Sun P, Liu X, Lin Z, Chen L, Lu Z, Zhou D, Wen B, Chen W, Xiong X, Xia J. The epidemic of Q fever in 2018 to 2019 in Zhuhai city of China determined by metagenomic next-generation sequencing. PLoS Negl Trop Dis 2021; 15:e0009520. [PMID: 34264939 PMCID: PMC8282036 DOI: 10.1371/journal.pntd.0009520] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Accepted: 05/30/2021] [Indexed: 12/24/2022] Open
Abstract
Q fever is a worldwide zoonosis caused by Coxiella burnetii (Cb). From January 2018 to November 2019, plasma samples from 2,382 patients with acute fever of unknown cause at a hospital in Zhuhai city of China were tested using metagenomic next-generation sequencing (mNGS). Of those tested, 138 patients (5.8%) were diagnosed with Q fever based on the presence of Cb genomic DNA detected by mNGS. Among these, 78 cases (56.5%) presented from Nov 2018 to Mar 2019, suggesting an outbreak of Q fever. 55 cases with detailed clinical information that occurred during the outbreak period were used for further analysis. The vast majority of plasma samples from those Cb-mNGS-positive patients were positive in a Cb-specific quantitative polymerase chain reaction (n = 38) and/or indirect immunofluorescence assay (n = 26). Mobile phone tracing data was used to define the area of infection during the outbreak. This suggested the probable infection source was Cb-infected goats and cattle at the only official authorized slaughterhouse in Zhuhai city. Phylogenic analysis based on genomic sequences indicated Cb strains identified in the patients, goat and cattle were formed a single branch, most closely related to the genomic group of Cb dominated by strains isolated from goats. Our study demonstrates Q fever was epidemic in 2018–2019 in Zhuhai city, and this is the first confirmed epidemic of Q fever in a contemporary city in China. Generally, the clinical diagnosis of acute Q fever, which is caused by Coxiella burnetii, is based on serologic methods that detect the presence antibodies produced by the body to fight the infection. However, the lag time between becoming infected and production of antibodies limits early diagnosis using this method. Here, we confirmed an epidemic of human Q fever in Zhuhai, a contemporary city in China, using clinical metagenomic next-generation sequencing (mNGS) and cell phone location data. Our results indicate that Cb-infected goats and cattle at the only official authorized slaughterhouse in Zhuhai were the likely infection source for the Q fever epidemic. More importantly, we demonstrate that mNGS is a useful tool for rapid and effective public health responses to acute bacterial infections.
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Affiliation(s)
- Mingxing Huang
- Department of Infectious Diseases, the Fifth Affiliated Hospital of Sun Yat-Sen University (SYSU), Zhuhai, China
- Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China
- Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | | | - Jun Jiao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, 20# Dong-Da-Jie Street, Fengtai, Beijing, China
| | - Chunna Li
- Department of Infectious Diseases, the Fifth Affiliated Hospital of Sun Yat-Sen University (SYSU), Zhuhai, China
| | - Luan Chen
- BGI PathoGenesis Pharmaceutical Technology, BGI-Shenzhen, Shenzhen, China
| | - Zhongyi Zhu
- BGI PathoGenesis Pharmaceutical Technology, BGI-Shenzhen, Shenzhen, China
| | - Feng Ruan
- Zhuhai Center for Disease Control and Prevention, Zhuhai, China
| | - Li Xing
- BGI PathoGenesis Pharmaceutical Technology, BGI-Shenzhen, Shenzhen, China
| | - Xinchun Zheng
- Department of Infectious Diseases, the Fifth Affiliated Hospital of Sun Yat-Sen University (SYSU), Zhuhai, China
| | - Mengjiao Fu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, 20# Dong-Da-Jie Street, Fengtai, Beijing, China
| | - Binyin Ma
- BGI PathoGenesis Pharmaceutical Technology, BGI-Shenzhen, Shenzhen, China
| | - Chongjie Gan
- Department of Infectious Diseases, the Fifth Affiliated Hospital of Sun Yat-Sen University (SYSU), Zhuhai, China
| | - Yuanchen Mao
- BGI PathoGenesis Pharmaceutical Technology, BGI-Shenzhen, Shenzhen, China
| | - Chongnan Zhang
- Department of Infectious Diseases, the Fifth Affiliated Hospital of Sun Yat-Sen University (SYSU), Zhuhai, China
| | - Ping Sun
- Department of Infectious Diseases, the Fifth Affiliated Hospital of Sun Yat-Sen University (SYSU), Zhuhai, China
| | - Xi Liu
- Department of Infectious Diseases, the Fifth Affiliated Hospital of Sun Yat-Sen University (SYSU), Zhuhai, China
| | - Ziliang Lin
- Department of Infectious Diseases, the Fifth Affiliated Hospital of Sun Yat-Sen University (SYSU), Zhuhai, China
| | - Lu Chen
- BGI PathoGenesis Pharmaceutical Technology, BGI-Shenzhen, Shenzhen, China
| | - Zhiyu Lu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, 20# Dong-Da-Jie Street, Fengtai, Beijing, China
| | - Dongsheng Zhou
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, 20# Dong-Da-Jie Street, Fengtai, Beijing, China
| | - Bohai Wen
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, 20# Dong-Da-Jie Street, Fengtai, Beijing, China
| | - Weijun Chen
- BGI PathoGenesis Pharmaceutical Technology, BGI-Shenzhen, Shenzhen, China
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China
- * E-mail: (WJC); (XLX); (JXY)
| | - Xiaolu Xiong
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, 20# Dong-Da-Jie Street, Fengtai, Beijing, China
- * E-mail: (WJC); (XLX); (JXY)
| | - Jinyu Xia
- Department of Infectious Diseases, the Fifth Affiliated Hospital of Sun Yat-Sen University (SYSU), Zhuhai, China
- * E-mail: (WJC); (XLX); (JXY)
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