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Zhang Z, Li L, Wang H, Ran X, Chen Y, Liu X, Ran Y. Disasters pile up on the rubbing heel: Sporothrix globosa as secondary infection to Mycobacterium chelonae infection. Emerg Microbes Infect 2024; 13:2358073. [PMID: 38764403 PMCID: PMC11168209 DOI: 10.1080/22221751.2024.2358073] [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: 01/29/2024] [Accepted: 05/16/2024] [Indexed: 05/21/2024]
Abstract
Mycobacterium chelonae and Sporothrix globosa, both of which are opportunistic pathogens, have been proved to be possible multidrug resistant. However, are all recurring symptoms in chronic infections related to decreasing susceptibility? Here we report a case of sporotrichosis secondary to M. chelonae infection. In addition, we find that the blackish-red spots under the dermoscopic view can be employed as a signal for the early identification and regression of subcutaneous fungal infection.
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Affiliation(s)
- Zhi Zhang
- Department of Dermatovenereology, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
| | - Lina Li
- Department of Dermatovenereology, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
- Department of Dermatovenereology, Henan Provincial People’s Hospital (People’s Hospital of Zhengzhou University), Zhengzhou, People’s Republic of China
| | - Hongsheng Wang
- Laboratory of Mycobacteria, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, People’s Republic of China
| | - Xin Ran
- Department of Dermatovenereology, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
| | - Yuan Chen
- Department of Dermatovenereology, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
| | - Xinyao Liu
- Department of Dermatovenereology, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
| | - Yuping Ran
- Department of Dermatovenereology, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
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2
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Deng QM, Zhang J, Zhang YY, Jia M, Ding DS, Fang YQ, Wang HZ, Gu HC. Diagnosis and treatment of refractory infectious diseases using nanopore sequencing technology: Three case reports. World J Clin Cases 2024; 12:5208-5216. [DOI: 10.12998/wjcc.v12.i22.5208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 05/29/2024] [Accepted: 06/17/2024] [Indexed: 06/30/2024] Open
Abstract
BACKGROUND Infectious diseases are still one of the greatest threats to human health, and the etiology of 20% of cases of clinical fever is unknown; therefore, rapid identification of pathogens is highly important. Traditional culture methods are only able to detect a limited number of pathogens and are time-consuming; serologic detection has window periods, false-positive and false-negative problems; and nucleic acid molecular detection methods can detect several known pathogens only once. Three-generation nanopore sequencing technology provides new options for identifying pathogens.
CASE SUMMARY Case 1: The patient was admitted to the hospital with abdominal pain for three days and cessation of defecation for five days, accompanied by cough and sputum. Nanopore sequencing of the drainage fluid revealed the presence of oral-like bacteria, leading to a clinical diagnosis of bronchopleural fistula. Cefoperazone sodium sulbactam treatment was effective. Case 2: The patient was admitted to the hospital with fever and headache, and CT revealed lung inflammation. Antibiotic treatment for Streptococcus pneumoniae, identified through nanopore sequencing of cerebrospinal fluid, was effective. Case 3: The patient was admitted to our hospital with intermittent fever and an enlarged neck mass that had persisted for more than six months. Despite antibacterial treatment, her symptoms worsened. The nanopore sequencing results indicate that voriconazole treatment is effective for Aspergillus brookii. The patient was diagnosed with mixed cell type classical Hodgkin's lymphoma with infection.
CONCLUSION Three-generation nanopore sequencing technology allows for rapid and accurate detection of pathogens in human infectious diseases.
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Affiliation(s)
- Qing-Mei Deng
- Science Island Branch, Graduate School of University of Science and Technology of China, Hefei 230031, Anhui Province, China
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Science, Hefei 230031, Anhui Province, China
- Medical Pathology Center, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, Anhui Province, China
| | - Jian Zhang
- Medical Pathology Center, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, Anhui Province, China
| | - Yi-Yong Zhang
- Medical Pathology Center, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, Anhui Province, China
| | - Min Jia
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Science, Hefei 230031, Anhui Province, China
- Medical Pathology Center, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, Anhui Province, China
| | - Du-Shan Ding
- Medical Pathology Center, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, Anhui Province, China
| | - Yu-Qin Fang
- Medical Pathology Center, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, Anhui Province, China
| | - Hong-Zhi Wang
- Science Island Branch, Graduate School of University of Science and Technology of China, Hefei 230031, Anhui Province, China
| | - Hong-Cang Gu
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Science, Hefei 230031, Anhui Province, China
- Medical Pathology Center, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, Anhui Province, China
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3
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Jiang L, Liang TW, Al-Odaini N, Hu Y, Huang M, Wei L, Li XY, Pan KS, Zheng DY, Jiang ZW, Wei G, Cao CW. Metagenomic Next-Generation Sequencing as an Effective Diagnostic Tool for Talaromycosis in HIV-Negative Patients. Mycopathologia 2024; 189:63. [PMID: 38985209 DOI: 10.1007/s11046-024-00866-x] [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: 02/04/2024] [Accepted: 06/05/2024] [Indexed: 07/11/2024]
Abstract
The diagnosis of Talaromyces marneffei infection in HIV-negative patients remains challenging. There is an urgent need for rapid and convenient methods to diagnose this complicated disease. The aim of this study was to evaluate the diagnostic efficiency of metagenomic next-generation sequencing (mNGS) for talaromycosis in non-HIV-infected patients by comparing mNGS with traditional microbial culture. In total, 66 samples from 57 patients were analyzed via both mNGS and microbial culture. The ROC curve showed a sensitivity for mNGS of 97.22%, which was greater than that of microbial culture (61.11%). Samples from the respiratory tract, infectious skin lesions, and lymph nodes are recommended as routine samples for talaromycosis detection via mNGS. Furthermore, mNGS significantly reduced the diagnostic time compared to microbial culture. Overall, our study demonstrated that mNGS is a promising tool for rapid and accurate pathogenic detection in HIV-negative patients with talaromycosis.
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Affiliation(s)
- Li Jiang
- Department of Dermatology and Venereology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China
- Fangchenggang Wanqing Institute of Mycosis Prevention and Control, Fangchenggang, China
| | - Tian-Wei Liang
- Department of Dermatology and Venereology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China
- Fangchenggang Wanqing Institute of Mycosis Prevention and Control, Fangchenggang, China
| | - Najwa Al-Odaini
- Department of Dermatology and Venereology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China
- Fangchenggang Wanqing Institute of Mycosis Prevention and Control, Fangchenggang, China
| | - Yuan Hu
- Richardson Medical Fungal Laboratory, Guangzhou Centre for Fungal Diagnostics and Research, Guangzhou, China
| | - Minli Huang
- Department of Ophthalmology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Lili Wei
- Department of Dermatology and Venereology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China
- Fangchenggang Wanqing Institute of Mycosis Prevention and Control, Fangchenggang, China
| | - Xiu-Ying Li
- Department of Dermatology and Venereology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China
- Fangchenggang Wanqing Institute of Mycosis Prevention and Control, Fangchenggang, China
| | - Kai-Su Pan
- Department of Dermatology and Venereology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China
- Fangchenggang Wanqing Institute of Mycosis Prevention and Control, Fangchenggang, China
| | - Dong-Yan Zheng
- Department of Dermatology and Venereology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China
- Fangchenggang Wanqing Institute of Mycosis Prevention and Control, Fangchenggang, China
| | - Zhi-Wen Jiang
- Department of Dermatology and Venereology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China
- Fangchenggang Wanqing Institute of Mycosis Prevention and Control, Fangchenggang, China
| | - Gao Wei
- Department of Dermatology and Venereology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China.
- Fangchenggang Wanqing Institute of Mycosis Prevention and Control, Fangchenggang, China.
| | - Cun-Wei Cao
- Department of Dermatology and Venereology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China.
- Fangchenggang Wanqing Institute of Mycosis Prevention and Control, Fangchenggang, China.
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4
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Wang F, Xiang L, Sze-Yin Leung K, Elsner M, Zhang Y, Guo Y, Pan B, Sun H, An T, Ying G, Brooks BW, Hou D, Helbling DE, Sun J, Qiu H, Vogel TM, Zhang W, Gao Y, Simpson MJ, Luo Y, Chang SX, Su G, Wong BM, Fu TM, Zhu D, Jobst KJ, Ge C, Coulon F, Harindintwali JD, Zeng X, Wang H, Fu Y, Wei Z, Lohmann R, Chen C, Song Y, Sanchez-Cid C, Wang Y, El-Naggar A, Yao Y, Huang Y, Cheuk-Fung Law J, Gu C, Shen H, Gao Y, Qin C, Li H, Zhang T, Corcoll N, Liu M, Alessi DS, Li H, Brandt KK, Pico Y, Gu C, Guo J, Su J, Corvini P, Ye M, Rocha-Santos T, He H, Yang Y, Tong M, Zhang W, Suanon F, Brahushi F, Wang Z, Hashsham SA, Virta M, Yuan Q, Jiang G, Tremblay LA, Bu Q, Wu J, Peijnenburg W, Topp E, Cao X, Jiang X, Zheng M, Zhang T, Luo Y, Zhu L, Li X, Barceló D, Chen J, Xing B, Amelung W, Cai Z, Naidu R, Shen Q, Pawliszyn J, Zhu YG, Schaeffer A, Rillig MC, Wu F, Yu G, Tiedje JM. Emerging contaminants: A One Health perspective. Innovation (N Y) 2024; 5:100612. [PMID: 38756954 PMCID: PMC11096751 DOI: 10.1016/j.xinn.2024.100612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Accepted: 03/10/2024] [Indexed: 05/18/2024] Open
Abstract
Environmental pollution is escalating due to rapid global development that often prioritizes human needs over planetary health. Despite global efforts to mitigate legacy pollutants, the continuous introduction of new substances remains a major threat to both people and the planet. In response, global initiatives are focusing on risk assessment and regulation of emerging contaminants, as demonstrated by the ongoing efforts to establish the UN's Intergovernmental Science-Policy Panel on Chemicals, Waste, and Pollution Prevention. This review identifies the sources and impacts of emerging contaminants on planetary health, emphasizing the importance of adopting a One Health approach. Strategies for monitoring and addressing these pollutants are discussed, underscoring the need for robust and socially equitable environmental policies at both regional and international levels. Urgent actions are needed to transition toward sustainable pollution management practices to safeguard our planet for future generations.
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Affiliation(s)
- Fang Wang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Leilei Xiang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kelvin Sze-Yin Leung
- Department of Chemistry, Hong Kong Baptist University, Hong Kong, China
- HKBU Institute of Research and Continuing Education, Shenzhen Virtual University Park, Shenzhen, China
| | - Martin Elsner
- Technical University of Munich, TUM School of Natural Sciences, Institute of Hydrochemistry, 85748 Garching, Germany
| | - Ying Zhang
- School of Resources & Environment, Northeast Agricultural University, Harbin 150030, China
| | - Yuming Guo
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Bo Pan
- Faculty of Environmental Science & Engineering, Kunming University of Science & Technology, Kunming 650500, China
| | - Hongwen Sun
- Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Taicheng An
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China
| | - Guangguo Ying
- Ministry of Education Key Laboratory of Environmental Theoretical Chemistry, South China Normal University, Guangzhou, Guangdong 510006, China
| | - Bryan W. Brooks
- Department of Environmental Science, Baylor University, Waco, TX, USA
- Center for Reservoir and Aquatic Systems Research (CRASR), Baylor University, Waco, TX, USA
| | - Deyi Hou
- School of Environment, Tsinghua University, Beijing 100084, China
| | - Damian E. Helbling
- School of Civil and Environmental Engineering, Cornell University, Ithaca, NY 14853, USA
| | - Jianqiang Sun
- Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province, Zhejiang University of Technology, Hangzhou 310014, China
| | - Hao Qiu
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Timothy M. Vogel
- Laboratoire d’Ecologie Microbienne, Universite Claude Bernard Lyon 1, UMR CNRS 5557, UMR INRAE 1418, VetAgro Sup, 69622 Villeurbanne, France
| | - Wei Zhang
- Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI 48824, USA
| | - Yanzheng Gao
- Institute of Organic Contaminant Control and Soil Remediation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Weigang Road 1, Nanjing 210095, China
| | - Myrna J. Simpson
- Environmental NMR Centre and Department of Physical and Environmental Sciences, University of Toronto Scarborough, 1265 Military Trail, Toronto, ON M1C 1A4, Canada
| | - Yi Luo
- Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210093, China
| | - Scott X. Chang
- Department of Renewable Resources, University of Alberta, 442 Earth Sciences Building, Edmonton, AB T6G 2E3, Canada
| | - Guanyong Su
- Jiangsu Key Laboratory of Chemical Pollution Control and Resources Reuse, School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Bryan M. Wong
- Materials Science & Engineering Program, Department of Chemistry, and Department of Physics & Astronomy, University of California-Riverside, Riverside, CA, USA
| | - Tzung-May Fu
- Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Dong Zhu
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Karl J. Jobst
- Department of Chemistry, Memorial University of Newfoundland, 45 Arctic Avenue, St. John’s, NL A1C 5S7, Canada
| | - Chengjun Ge
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, School of Ecological and Environmental Sciences, Hainan University, Haikou 570228, China
| | - Frederic Coulon
- School of Water, Energy and Environment, Cranfield University, Cranfield MK43 0AL, UK
| | - Jean Damascene Harindintwali
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiankui Zeng
- Key Laboratory of Surficial Geochemistry, Ministry of Education, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China
| | - Haijun Wang
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming 650504, China
| | - Yuhao Fu
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhong Wei
- Jiangsu Provincial Key Lab for Organic Solid Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Rainer Lohmann
- Graduate School of Oceanography, University of Rhode Island, Narragansett, RI, USA
| | - Changer Chen
- Ministry of Education Key Laboratory of Environmental Theoretical Chemistry, South China Normal University, Guangzhou, Guangdong 510006, China
| | - Yang Song
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Concepcion Sanchez-Cid
- Environmental Microbial Genomics, UMR 5005 Laboratoire Ampère, CNRS, École Centrale de Lyon, Université de Lyon, Écully, France
| | - Yu Wang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ali El-Naggar
- Department of Renewable Resources, University of Alberta, 442 Earth Sciences Building, Edmonton, AB T6G 2E3, Canada
- Department of Soil Sciences, Faculty of Agriculture, Ain Shams University, Cairo 11241, Egypt
| | - Yiming Yao
- Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Yanran Huang
- Applied Biology and Chemical Technology, Hong Kong Polytechnic University, Hong Kong, China
| | | | - Chenggang Gu
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Huizhong Shen
- Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Yanpeng Gao
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China
| | - Chao Qin
- Institute of Organic Contaminant Control and Soil Remediation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Weigang Road 1, Nanjing 210095, China
| | - Hao Li
- Faculty of Environmental Science & Engineering, Kunming University of Science & Technology, Kunming 650500, China
| | - Tong Zhang
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - Natàlia Corcoll
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
| | - Min Liu
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai 200241, China
| | - Daniel S. Alessi
- Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, AB T6G 2E3, Canada
| | - Hui Li
- Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI 48824, USA
| | - Kristian K. Brandt
- Section for Microbial Ecology and Biotechnology, Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg C, Denmark
- Sino-Danish Center (SDC), Beijing, China
| | - Yolanda Pico
- Food and Environmental Safety Research Group of the University of Valencia (SAMA-UV), Desertification Research Centre - CIDE (CSIC-UV-GV), Road CV-315 km 10.7, 46113 Moncada, Valencia, Spain
| | - Cheng Gu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210093, China
| | - Jianhua Guo
- Australian Centre for Water and Environmental Biotechnology, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Jianqiang Su
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Philippe Corvini
- School of Life Sciences, University of Applied Sciences and Arts Northwestern Switzerland, 4132 Muttenz, Switzerland
| | - Mao Ye
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Teresa Rocha-Santos
- Centre for Environmental and Marine Studies (CESAM) & Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Huan He
- Jiangsu Engineering Laboratory of Water and Soil Eco-remediation, School of Environment, Nanjing Normal University, Nanjing 210023, China
| | - Yi Yang
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai 200241, China
| | - Meiping Tong
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Weina Zhang
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China
| | - Fidèle Suanon
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
- Laboratory of Physical Chemistry, Materials and Molecular Modeling (LCP3M), University of Abomey-Calavi, Republic of Benin, Cotonou 01 BP 526, Benin
| | - Ferdi Brahushi
- Department of Environment and Natural Resources, Agricultural University of Tirana, 1029 Tirana, Albania
| | - Zhenyu Wang
- Institute of Environmental Processes and Pollution Control, and School of Environment & Ecology, Jiangnan University, Wuxi 214122, China
| | - Syed A. Hashsham
- Center for Microbial Ecology, Department of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, MI 48824, USA
- Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, USA
| | - Marko Virta
- Department of Microbiology, University of Helsinki, 00010 Helsinki, Finland
| | - Qingbin Yuan
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210093, China
| | - Gaofei Jiang
- Jiangsu Provincial Key Lab for Organic Solid Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Louis A. Tremblay
- School of Biological Sciences, University of Auckland, Auckland, Aotearoa 1142, New Zealand
| | - Qingwei Bu
- School of Chemical & Environmental Engineering, China University of Mining & Technology - Beijing, Beijing 100083, China
| | - Jichun Wu
- Key Laboratory of Surficial Geochemistry, Ministry of Education, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China
| | - Willie Peijnenburg
- National Institute of Public Health and the Environment, Center for the Safety of Substances and Products, 3720 BA Bilthoven, The Netherlands
- Leiden University, Center for Environmental Studies, Leiden, the Netherlands
| | - Edward Topp
- Agroecology Mixed Research Unit, INRAE, 17 rue Sully, 21065 Dijon Cedex, France
| | - Xinde Cao
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Xin Jiang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Minghui Zheng
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Taolin Zhang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Yongming Luo
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lizhong Zhu
- Department of Environmental Science, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Xiangdong Li
- Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China
| | - Damià Barceló
- Chemistry and Physics Department, University of Almeria, 04120 Almeria, Spain
| | - Jianmin Chen
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Baoshan Xing
- Stockbridge School of Agriculture, University of Massachusetts, Amherst, MA 01003, USA
| | - Wulf Amelung
- Institute of Crop Science and Resource Conservation (INRES), Soil Science and Soil Ecology, University of Bonn, 53115 Bonn, Germany
- Agrosphere Institute (IBG-3), Forschungszentrum Jülich GmbH, 52428 Jülich, Germany
| | - Zongwei Cai
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, China
| | - Ravi Naidu
- Global Centre for Environmental Remediation (GCER), The University of Newcastle (UON), Newcastle, NSW 2308, Australia
- Cooperative Research Centre for Contamination Assessment and Remediation of the Environment (CRC CARE), The University of Newcastle (UON), Newcastle, NSW 2308, Australia
| | - Qirong Shen
- Jiangsu Provincial Key Lab for Organic Solid Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Janusz Pawliszyn
- Department of Chemistry, University of Waterloo, Waterloo, ON N2L 3G1, Canada
| | - Yong-guan Zhu
- University of Chinese Academy of Sciences, Beijing 100049, China
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Andreas Schaeffer
- Institute for Environmental Research, RWTH Aachen University, 52074 Aachen, Germany
| | - Matthias C. Rillig
- Institute of Biology, Freie Universität Berlin, Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Fengchang Wu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Gang Yu
- Advanced Interdisciplinary Institute of Environment and Ecology, Beijing Normal University, Zhuhai, China
| | - James M. Tiedje
- Center for Microbial Ecology, Department of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, MI 48824, USA
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5
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Liu M, Zhang H, Li L, Mao J, Li R, Yin J, Wu X. The etiological diagnostic value of metagenomic next-generation sequencing in suspected community-acquired pneumonia. BMC Infect Dis 2024; 24:626. [PMID: 38914949 PMCID: PMC11194883 DOI: 10.1186/s12879-024-09507-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 06/13/2024] [Indexed: 06/26/2024] Open
Abstract
BACKGROUND The emergence of metagenomic next-generation sequencing (mNGS) may provide a promising tool for early and comprehensive identification of the causative pathogen in community-acquired pneumonia (CAP). In this study, we aim to further evaluate the etiological diagnostic value of mNGS in suspected CAP. METHODS A total of 555 bronchoalveolar lavage fluid (BALF) samples were collected for pathogen detection by mNGS from 541 patients with suspected CAP. The clinical value was assessed based on infection diagnosis and treatment guidance. The diagnostic performance for pathogen identification by mNGS and sputum culture and for tuberculosis (TB) by mNGS and X-pert MTB/RIF were compared. To evaluate the potential for treatment guidance, we analyzed the treatment regimen of patients with suspected CAP, including imaging changes of lung after empirical antibacterial therapy, intensified regimen, antifungal treatment, and a 1-year follow up for patients with unconfirmed diagnosis and non-improvement imaging after anti-infective treatment and patients with high suspicion of TB or NTM infection who were transferred to the Wuhan Pulmonary Hospital for further diagnosis and even anti-mycobacterium therapy. RESULTS Of the 516 BALF samples that were analyzed by both mNGS and sputum culture, the positivity rate of mNGS was significantly higher than that of sputum culture (79.1% vs. 11.4%, P = 0.001). A total of 48 samples from patients with confirmed TB were analyzed by both mNGS and X-pert MTB/RIF, and the sensitivity of mNGS for the diagnosis of active TB was significantly lower than that of X-pert MTB/RIF (64.6% vs. 85.4%, P = 0.031). Of the 106 pathogen-negative cases, 48 were ultimately considered non-infectious diseases, with a negative predictive value of 45.3%. Of the 381 pathogen-positive cases, 311 were eventually diagnosed as CAP, with a positive predictive value of 81.6%. A total of 487 patients were included in the evaluation of the therapeutic effect, and 67.1% improved with initial empirical antibiotic treatment. Of the 163 patients in which bacteria were detected, 77.9% improved with antibacterial therapy; of the 85 patients in which fungi were detected, 12.9% achieved remission after antifungal therapy. CONCLUSIONS Overall, mNGS had unique advantages in the detection of suspected CAP pathogens. However, mNGS was not superior to X-pert MTB/RIF for the diagnosis of TB. In addition, mNGS was not necessary as a routine test for all patients admitted with suspected CAP. Furthermore, when fungi are detected by mNGS, antifungal therapy should be cautious.
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Affiliation(s)
- Mengling Liu
- Department of Pulmonary and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Haiyue Zhang
- Department of Pulmonary and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Liangyu Li
- Department of Pulmonary and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Jieyu Mao
- Department of Pulmonary and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Ruiyun Li
- Department of Pulmonary and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Jing Yin
- Department of Pulmonary and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Xiaojun Wu
- Department of Pulmonary and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
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Dong G, Hao Z, Zhang C, Deng A. Unveiling challenging corneal infections: a comprehensive etiological diagnosis through metagenomic next-generation sequencing (mNGS) of corneal tissue samples. Int Ophthalmol 2024; 44:246. [PMID: 38907102 DOI: 10.1007/s10792-024-03201-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Accepted: 06/15/2024] [Indexed: 06/23/2024]
Abstract
PURPOSE The objective of this study was to assess the clinical diagnostic value of metagenomic next-generation sequencing (mNGS) in cases of challenging corneal infections using corneal tissue samples. METHODS This retrospective study involved 42 patients with corneal infections, where conventional diagnostic techniques failed to identify the causative pathogen. Corneal tissue specimens underwent mNGS, followed by microbial culture for validation. Sensitivity-guided antimicrobial therapy was administered upon identification of the pathogen. The diagnostic and therapeutic efficacy of mNGS was analyzed to evaluate its clinical utility. RESULTS A total of 42 patients were included in this study, with mNGS detection results obtained for 38 cases (90.48%). Among them, 30 cases (71.43%) were clinically significant, eight cases (19.05%) had low clinical relevance, and four cases (9.52%) showed no detection. Following corresponding antimicrobial treatment, 30 patients exhibited significant improvement, resulting in a treatment effectiveness of 71.43%. The prognosis of mNGS-positive patients was superior to that of mNGS-negative patients, with statistically significant differences observed (P < 0.001). CONCLUSIONS Corneal tissue mNGS facilitated the rapid identification of causative agents in challenging corneal infections with unclear clinical diagnoses. It could be seamlessly integrated with traditional diagnostic methods to guide the diagnosis and treatment of corneal diseases.
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Affiliation(s)
- Guangguo Dong
- Department of Ophthalmology, Jinan Second People's Hospital, Jinan, 250200, China
| | - Zhongkai Hao
- Department of Ophthalmology, Jinan Second People's Hospital, Jinan, 250200, China
- Department of Ophthalmology, School of Clinical Medicine, Weifang Medical University, Weifang, 261000, China
| | - Chenming Zhang
- Department of Ophthalmology, Jinan Second People's Hospital, Jinan, 250200, China.
- Department of Ophthalmology, School of Clinical Medicine, Weifang Medical University, Weifang, 261000, China.
| | - Aijun Deng
- Department of Ophthalmology, School of Clinical Medicine, Weifang Medical University, Weifang, 261000, China.
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Xing Z, Jiang H, Liu X, Chai Q, Xin Z, Zhu C, Bao Y, Chen H, Gao H, Ma D. Integrating DNA/RNA microbe detection and host response for accurate diagnosis, treatment and prognosis of childhood infectious meningitis and encephalitis. J Transl Med 2024; 22:583. [PMID: 38902725 PMCID: PMC11191231 DOI: 10.1186/s12967-024-05370-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 06/02/2024] [Indexed: 06/22/2024] Open
Abstract
BACKGROUND Infectious meningitis/encephalitis (IM) is a severe neurological disease that can be caused by bacterial, viral, and fungal pathogens. IM suffers high morbidity, mortality, and sequelae in childhood. Metagenomic next-generation sequencing (mNGS) can potentially improve IM outcomes by sequencing both pathogen and host responses and increasing the diagnosis accuracy. METHODS Here we developed an optimized mNGS pipeline named comprehensive mNGS (c-mNGS) to monitor DNA/RNA pathogens and host responses simultaneously and applied it to 142 cerebrospinal fluid samples. According to retrospective diagnosis, these samples were classified into three categories: confirmed infectious meningitis/encephalitis (CIM), suspected infectious meningitis/encephalitis (SIM), and noninfectious controls (CTRL). RESULTS Our pipeline outperformed conventional methods and identified RNA viruses such as Echovirus E30 and etiologic pathogens such as HHV-7, which would not be clinically identified via conventional methods. Based on the results of the c-mNGS pipeline, we successfully detected antibiotic resistance genes related to common antibiotics for treating Escherichia coli, Acinetobacter baumannii, and Group B Streptococcus. Further, we identified differentially expressed genes in hosts of bacterial meningitis (BM) and viral meningitis/encephalitis (VM). We used these genes to build a machine-learning model to pinpoint sample contaminations. Similarly, we also built a model to predict poor prognosis in BM. CONCLUSIONS This study developed an mNGS-based pipeline for IM which measures both DNA/RNA pathogens and host gene expression in a single assay. The pipeline allows detecting more viruses, predicting antibiotic resistance, pinpointing contaminations, and evaluating prognosis. Given the comparable cost to conventional mNGS, our pipeline can become a routine test for IM.
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Affiliation(s)
- Zhihao Xing
- Biobank & Clinical laboratory & Department of Respiratory Medicine, Shenzhen Children's Hospital of Shantou University Medical College, Shenzhen, Guangdong, China
- Institute of Pediatrics, Shenzhen Children's Hospital, Shenzhen, Guangdong, China
| | - Hanfang Jiang
- Clinical laboratory, Shenzhen Children's Hospital, Shenzhen, Guangdong, China
| | - Xiaorong Liu
- Biobank & Clinical laboratory & Department of Respiratory Medicine, Shenzhen Children's Hospital of Shantou University Medical College, Shenzhen, Guangdong, China
- Institute of Pediatrics, Shenzhen Children's Hospital, Shenzhen, Guangdong, China
| | - Qiang Chai
- Institute of Pediatrics, Shenzhen Children's Hospital, Shenzhen, Guangdong, China
| | - Zefeng Xin
- Institute of Pediatrics, Shenzhen Children's Hospital, Shenzhen, Guangdong, China
| | - Chunqing Zhu
- Institute of Pediatrics, Shenzhen Children's Hospital, Shenzhen, Guangdong, China
- Clinical laboratory, Shenzhen Children's Hospital, Shenzhen, Guangdong, China
| | - Yanmin Bao
- Department of Respiratory Medicine, Shenzhen Children's Hospital, Shenzhen, Guangdong, China
| | - Hongyu Chen
- Clinical laboratory, Shenzhen Children's Hospital, Shenzhen, Guangdong, China
| | - Hongdan Gao
- Medical Testing, Bengbu Medical College, Bengbu, Anhui, China
| | - Dongli Ma
- Institute of Pediatrics, Shenzhen Children's Hospital, Shenzhen, Guangdong, China.
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He S, Zeng H. Comment on "An umbrella review of the diagnostic value of next-generation sequencing in infectious diseases": appealing results, but caution is still necessary. Int J Clin Pharm 2024:10.1007/s11096-024-01764-4. [PMID: 38896392 DOI: 10.1007/s11096-024-01764-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 05/28/2024] [Indexed: 06/21/2024]
Affiliation(s)
- Sike He
- Department of Urology, West China Hospital, Sichuan University, Chengdu, China
- West China School of Medicine, Sichuan University, Chengdu, China
| | - Hao Zeng
- Department of Urology, West China Hospital, Sichuan University, Chengdu, China.
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9
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Xu H, Zhang R, Zhang X, Wang H, Xiong Y, Zheng B, Zhang Z, Lin L. Pulmonary granulomas and Mendelson syndrome in an immunocompromised patient. Heliyon 2024; 10:e32256. [PMID: 38882296 PMCID: PMC11180312 DOI: 10.1016/j.heliyon.2024.e32256] [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: 02/29/2024] [Revised: 05/30/2024] [Accepted: 05/30/2024] [Indexed: 06/18/2024] Open
Abstract
Granuloma formation is generally correlated with infection. Pulmonary granulomas caused by foreign bodies aspiration are uncommon. The clinical and radiologic features of such cases often lack specificity, which makes it difficult to distinguish from malignancy. Aspiration is usually not considered in the differential diagnosis of patients presenting with mass-like abnormalities on chest imaging. Occult aspiration history, diverse clinical manifestations, atypical imaging findings, and limited availability of pathogen detection techniques make the precise diagnosis a substantial challenge. Herein, we describe an older patient presenting with chest pain and worrisome lung masses/nodules that proved to be pulmonary granulomas caused by foreign matters aspiration. In addition, the patient developed Mendelson syndrome due to acute macroaspiration. Lung tissue metagenomics next-generation sequencing (mNGS) revealed Streptococcus intermedius, a normal flora of the oropharynx. The aim of this case was to underscore the importance of considering aspiration as a potential differential diagnosis of patients presenting with pulmonary granulomas, especially in patients with recurrent pneumonia or predisposing factors. In addition, mNGS act as a potential, rapid, and effective technique for diagnosing aspiration-related syndrome, showing satisfactory performance in identifying pathogens.
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Affiliation(s)
- Hui Xu
- Department of Geriatrics, Peking University First Hospital, Beijing, China
| | - Ruixue Zhang
- Department of Geriatrics, Peking University First Hospital, Beijing, China
| | - Xiaoxue Zhang
- Department of Geriatrics, Peking University First Hospital, Beijing, China
| | - He Wang
- Department of Imaging, Peking University First Hospital, Beijing, China
| | - Yan Xiong
- Department of Pathology, Peking University First Hospital, Beijing, China
| | - Bo Zheng
- Institute of Clinical Pharmacology, Peking University First Hospital, Beijing, China
| | - Zhi Zhang
- National Engineering Research Center for Beijing Biochip Technology, Beijing, China
- CapitalBio Corporation, Beijing, China
| | - Lianjun Lin
- Department of Geriatrics, Peking University First Hospital, Beijing, China
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10
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Pan Y, Xing Y, Lai Y, Dong H, Sheng H, Xu W. Metagenomic next-generation sequencing reveals co-infection with Legionella pneumophila and Fusobacterium necrophorum in a patient with severe pneumonia: a case report. BMC Pulm Med 2024; 24:279. [PMID: 38867173 PMCID: PMC11170816 DOI: 10.1186/s12890-024-03097-4] [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: 01/27/2024] [Accepted: 06/11/2024] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND Legionella pneumonia is one of the most severe types of atypical pneumonia, impairing multiple organ systems, posing a threat to life. Diagnosing Legionella pneumonia is challenging due to difficulties in culturing the bacteria and limitations in immunoassay sensitivity and specificity. CASE PRESENTATION This paper reports a rare case of sepsis caused by combined infection with Legionella pneumophila and Fusobacterium necrophorum, leading to respiratory failure, acute kidney injury, acute liver injury, myocardial damage, and electrolyte disorders. In addition, we systematically reviewed literature on patients with combined Legionella infections, analyzing their clinical features, laboratory results and diagnosis. CONCLUSIONS For pathogens that require prolonged incubation periods and are less sensitive to conventional culturing methods, metagenomic next-generation sequencing (mNGS) can be a powerful supplement to pathogen screening and plays a significant role in the auxiliary diagnosis of complex infectious diseases.
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Affiliation(s)
- Yunqi Pan
- Department of Laboratory Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China
| | - Yi Xing
- Department of Hospital Infection Management, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China
| | - Yanan Lai
- Department of Laboratory Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China
| | - Huixing Dong
- Department of Respiratory and Critical Care Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China
| | - Huiming Sheng
- Department of Laboratory Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China
| | - Weihong Xu
- Department of Laboratory Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
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11
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Li CX, Lv M, Liu HY, Lin YX, Pan JB, You CX, Su J. Comparison of the upper and lower airway microbiome in early postoperative lung transplant recipients. Microbiol Spectr 2024; 12:e0379123. [PMID: 38747583 DOI: 10.1128/spectrum.03791-23] [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: 12/06/2023] [Accepted: 01/29/2024] [Indexed: 06/06/2024] Open
Abstract
The upper and lower respiratory tract may share microbiome because they are directly continuous, and the nasal microbiome contributes partially to the composition of the lung microbiome. But little is known about the upper and lower airway microbiome of early postoperative lung transplant recipients (LTRs). Using 16S rRNA gene sequencing, we compared paired nasal swab (NS) and bronchoalveolar lavage fluid (BALF) microbiome from 17 early postoperative LTRs. The microbiome between the two compartments were significantly different in Shannon diversity and beta diversity. Four and eight core NS-associated and BALF-associated microbiome were identified, respectively. NS samples harbored more Corynebacterium, Acinetobacter, and Pseudomonas, while BALF contained more Ralstonia, Stenotrophomonas, Enterococcus, and Pedobacter. The within-subject dissimilarity was higher than the between-subject dissimilarity, indicating a greater impact of sampling sites than sampling individuals on microbial difference. There were both difference and homogeneity between NS and BALF microbiome in early postoperative LTRs. High levels of pathogens were detected in both samples, suggesting that both of them can reflect the diseases characteristics of transplanted lung. The differences between upper and lower airway microbiome mainly come from sampling sites instead of sampling individuals. IMPORTANCE Lung transplantation is the only therapeutic option for patients with end-stage lung disease, but its outcome is much worse than other solid organ transplants. Little is known about the NS and BALF microbiome of early postoperative LTRs. Here, we compared paired samples of the nasal and lung microbiome from 17 early postoperative LTRs and showed both difference and homogeneity between the two samples. Most of the "core" microbiome in both NS and BALF samples were recognized respiratory pathogens, suggesting that both samples can reflect the diseases characteristics of transplanted lung. We also found that the differences between upper and lower airway microbiome in early postoperative LTRs mainly come from sampling sites instead of sampling individuals.
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Affiliation(s)
- Chun-Xi Li
- Department of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Meng Lv
- Department of Oncology, Medical Center for Overseas Patient, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Hai-Yue Liu
- Department of laboratory medicine, Xiamen Key Laboratory of Genetic Testing, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Yan-Xia Lin
- Hospital Infection-Control Department, Shenzhen University General Hospital, Shenzhen, China
| | - Jian-Bing Pan
- Department of Respiratory Medicine, Meizhou People's Hospital, Meizhou, China
| | - Chang-Xuan You
- Department of Oncology, Medical Center for Overseas Patient, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jin Su
- Department of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China
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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 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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Shi P, Liu J, Liang A, Zhu W, Fu J, Wu X, Peng Y, Yuan S, Wu X. Application of metagenomic next-generation sequencing in optimizing the diagnosis of ascitic infection in patients with liver cirrhosis. BMC Infect Dis 2024; 24:503. [PMID: 38769522 PMCID: PMC11107059 DOI: 10.1186/s12879-024-09396-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 05/09/2024] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND Metagenomic next-generation sequencing (mNGS) is an emerging technique for the clinical diagnosis of infectious disease that has rarely been used for the diagnosis of ascites infection in patients with cirrhosis. This study compared mNGS detection with conventional culture methods for the on etiological diagnosis of cirrhotic ascites and evaluated the clinical effect of mNGS. METHODS A total of 109 patients with ascites due to cirrhosis were included in the study. We compared mNGS with conventional culture detection by analyzing the diagnostic results, pathogen species and clinical effects. The influence of mNGS on the diagnosis and management of ascites infection in patients with cirrhosis was also evaluated. RESULTS Ascites cases were classified into three types: spontaneous bacterial peritonitis (SBP) (16/109, 14.7%), bacterascites (21/109, 19.3%) and sterile ascites (72/109, 66.1%). In addition, 109 patients were assigned to the ascites mNGS-positive group (80/109, 73.4%) or ascites mNGS-negative group (29/109, 26.6%). The percentage of positive mNGS results was significantly greater than that of traditional methods (73.4% vs. 28.4%, P < 0.001). mNGS detected 43 strains of bacteria, 9 strains of fungi and 8 strains of viruses. Fourteen bacterial strains and 3 fungal strains were detected via culture methods. Mycobacteria, viruses, and pneumocystis were detected only by the mNGS method. The mNGS assay produced a greater polymicrobial infection rate than the culture method (55% vs. 16%). Considering the polymorphonuclear neutrophil (PMN) counts, the overall percentage of pathogens detected by the two methods was comparable, with 87.5% (14/16) in the PMN ≥ 250/mm3 group and 72.0% (67/93) in the PMN < 250/mm3 group (P > 0.05). Based on the ascites PMN counts combined with the mNGS assay, 72 patients (66.1%) were diagnosed with ascitic fluid infection (AFI) (including SBP and bacterascites), whereas based on the ascites PMN counts combined with the culture assay, 37 patients (33.9%) were diagnosed with AFI (P < 0.05). In 60 (55.0%) patients, the mNGS assay produced positive clinical effects; 40 (85.7%) patients had their treatment regimen adjusted, and 48 patients were improved. The coincidence rate of the mNGS results and clinical findings was 75.0% (60/80). CONCLUSIONS Compared with conventional culture methods, mNGS can improve the detection rate of ascites pathogens, including bacteria, viruses, and fungi, and has significant advantages in the diagnosis of rare pathogens and pathogens that are difficult to culture; moreover, mNGS may be an effective method for improving the diagnosis of ascites infection in patients with cirrhosis, guiding early antibiotic therapy, and for reducing complications related to abdominal infection. In addition, explaining mNGS results will be challenging, especially for guiding the treatment of infectious diseases.
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Affiliation(s)
- Pei Shi
- Department of Infectious Diseases, The First Affiliated Hospital of Nanchang University, No.17 Yongwaizheng Street, Donghu District, Nanchang, Jiangxi Province, China
| | - Juan Liu
- Department of Infectious Diseases, The First Affiliated Hospital of Nanchang University, No.17 Yongwaizheng Street, Donghu District, Nanchang, Jiangxi Province, China
| | - An Liang
- Department of Infectious Diseases, The First Affiliated Hospital of Nanchang University, No.17 Yongwaizheng Street, Donghu District, Nanchang, Jiangxi Province, China
| | - Wentao Zhu
- Department of Infectious Diseases, The First Affiliated Hospital of Nanchang University, No.17 Yongwaizheng Street, Donghu District, Nanchang, Jiangxi Province, China
| | - Jiwei Fu
- Department of Infectious Diseases, The First Affiliated Hospital of Nanchang University, No.17 Yongwaizheng Street, Donghu District, Nanchang, Jiangxi Province, China
| | - Xincheng Wu
- Department of Infectious Diseases, The First Affiliated Hospital of Nanchang University, No.17 Yongwaizheng Street, Donghu District, Nanchang, Jiangxi Province, China
| | - Yuchen Peng
- Department of Infectious Diseases, The First Affiliated Hospital of Nanchang University, No.17 Yongwaizheng Street, Donghu District, Nanchang, Jiangxi Province, China
| | - Songsong Yuan
- Department of Infectious Diseases, The First Affiliated Hospital of Nanchang University, No.17 Yongwaizheng Street, Donghu District, Nanchang, Jiangxi Province, China.
| | - Xiaoping Wu
- Department of Infectious Diseases, The First Affiliated Hospital of Nanchang University, No.17 Yongwaizheng Street, Donghu District, Nanchang, Jiangxi Province, China.
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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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Wang B, Wang Q, Li M, Yu J, Jiang F, Hu Y, Guo G, Chen X, Tang J, Han P, Shen H. Diagnostic Role of Metagenomic Next-Generation Sequencing in Tubercular Orthopedic Implant-Associated Infection. Infect Drug Resist 2024; 17:1951-1960. [PMID: 38774035 PMCID: PMC11107837 DOI: 10.2147/idr.s441940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 05/08/2024] [Indexed: 05/24/2024] Open
Abstract
Objective The diagnosis of tubercular orthopedic implant-associated infection (TB-IAI) is challenging. This study evaluated the value of metagenomic next-generation sequencing (mNGS) for the diagnosis of TB-IAI and developed a standardized diagnostic procedure for TB-IAI. Methods The records of all patients with TB-IAI diagnosed and treated at our institution between December 2018 and September 2022 were retrospectively reviewed. Patient demographic characteristics, medical history, laboratory test, microbial culture, histopathology, and mNGS results, and time to diagnosis were recorded. The diagnostic efficiency of mNGS for TB-IAI was assessed by comparing the results and diagnostic time with that of other diagnostic modalities. Results Ten patients were included in the analysis, including eight with prosthetic joint infections and two with fracture-related infections. The mNGS positivity rate was 100% (10/10), which was higher than that of TB-antibody (11%, 1/9), real-time quantitative polymerase chain reaction (22%, 2/9), T-SPOT.TB (25%, 2/8), purified protein derivative (50%, 4/8), microbial culture (50%, 5/10), and histopathology (20%, 2/10). mNGS shortened the time to diagnosis of TB-IAI. A standardized diagnostic procedure for TB-IAI was developed based on the findings. Conclusion mNGS is useful for the diagnosis of TB-IAI. mNGS is recommended in cases where it is difficult to identify a pathogen using routine diagnostic tests. The standardized diagnostic procedure might improve TB-IAI diagnosis. Importance TB-IAI is a rare infection, which occurs after orthopedic surgery and hard to diagnose microbiologically. mNGS is a new detection technique not yet discussed in current literature as a means for TB-IAI diagnostics. Here we describe a cohort of patients with TB-IAI diagnosed by mNGS show high efficiency of mNGS for detection of this pathology and present a clinical algorithm supplementing conventional methods for TB-IAI assessment.
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Affiliation(s)
- Boyong Wang
- Department of Orthopedics, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, People’s Republic of China
| | - Qiaojie Wang
- Department of Orthopedics, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, People’s Republic of China
| | - Mingzhang Li
- Department of Orthopedics, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, People’s Republic of China
| | - Jinlong Yu
- Department of Orthopedics, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, People’s Republic of China
| | - Feng Jiang
- Department of Orthopedics, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, People’s Republic of China
| | - Yujie Hu
- Department of Orthopedics, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, People’s Republic of China
| | - Geyong Guo
- Department of Orthopedics, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, People’s Republic of China
| | - Xiaohua Chen
- Department of Infectious Diseases, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, People’s Republic of China
| | - Jin Tang
- Clinical Laboratory, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, People’s Republic of China
| | - Pei Han
- Department of Orthopedics, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, People’s Republic of China
| | - Hao Shen
- Department of Orthopedics, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, People’s Republic of China
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Shi T, Chen H, Liu Y, Wu Y, Lin F. Clinical applications of metagenomic next-generation sequencing in the identification of pathogens in periprosthetic joint infections: a retrospective study. J Orthop Surg Res 2024; 19:301. [PMID: 38760817 PMCID: PMC11102132 DOI: 10.1186/s13018-024-04745-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 04/16/2024] [Indexed: 05/19/2024] Open
Abstract
BACKGROUND This study aimed to evaluate the application of metagenomic next-generation sequencing (mNGS) technology to identify pathogens in periprosthetic joint infection (PJI). METHODS A retrospective analysis was conducted on 65 patients suspected of having PJI between April 2020 and July 2023. The patients were categorized into PJI (46 patients) and non-PJI (19 patients) groups based on the 2018 International Consensus Meeting criteria. Clinical data were collected, and both conventional bacterial culture and mNGS were performed. The diagnostic performance of the two methods was compared and analyzed. RESULTS mNGS exhibited a sensitivity of 89.13%, a specificity of 94.74%, a positive predictive value of 97.62%, a negative predictive value of 78.26%, and an overall diagnostic accuracy of 90.77%. Compared to microbial culture, mNGS demonstrated superior diagnostic sensitivity while maintaining similar specificity. A total of 48 pathogens were successfully identified using mNGS, with Coagulase-negative staphylococci, Streptococci, Staphylococcus aureus, and Cutibacterium acnes being the most common infectious agents. Notably, mNGS was used to identify 17 potential pathogens in 14 culture-negative PJI samples, highlighting its ability to detect rare infectious agents, including Cutibacterium acnes (n = 5), Granulicatella adiacens (n = 1), Mycobacterium tuberculosis complex (n = 1), and Coxiella burnetii (n = 1), among others, which are not detectable by routine culture methods. However, mNGS failed to detect the pathogen in 4 culture-positive PJI patients, indicating its limitations. Among the 46 PJI patients, 27 had positive culture and mNGS results. The results of mNGS were concordant with those of culture at the genus level in 6 patients with PJI and at the species level in 18 patients. Furthermore, the present study revealed a significantly greater proportion of Staphylococcus aureus in the sinus tract group (45.45%) than in the non-sinus tract group (14.29%), indicating the association of this pathogen with sinus formation in PJI (P = 0.03). Additionally, there was no significant difference in the occurrence of polymicrobial infections between the sinus tract group (27.27%) and the non-sinus tract group (33.33%) (P = 0.37). CONCLUSIONS Metagenomic next-generation sequencing can serve as a valuable screening tool in addition to traditional culture methods to improve diagnostic accuracy through optimized culture strategies.
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Affiliation(s)
- Tengfei Shi
- Department of Clinical Laboratory, Fuzhou Second General Hospital, Fuzhou, Fujian, China
| | - Huiyu Chen
- Department of Clinical Laboratory, Fujian Maternity and Child Health Hospital, Fuzhou, Fujian, China
| | - Yinhuan Liu
- Department of Clinical Laboratory, Fuzhou Second General Hospital, Fuzhou, Fujian, China
| | - Yexin Wu
- Department of Clinical Laboratory, Fuzhou Second General Hospital, Fuzhou, Fujian, China
| | - Feitai Lin
- Department of Orthopaedic Surgery, Fuzhou Second General Hospital, Shang Teng Road No. 47 Cang'shan District, Fuzhou, Fujian, China.
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Su S, Wang R, Zhou R, Bai J, Chen Z, Zhou F. Higher diagnostic value of next-generation sequencing versus culture in periprosthetic joint infection: A systematic review and meta-analysis. Knee Surg Sports Traumatol Arthrosc 2024. [PMID: 38713871 DOI: 10.1002/ksa.12227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 04/22/2024] [Accepted: 04/23/2024] [Indexed: 05/09/2024]
Abstract
BACKGROUND The next-generation sequencing (NGS) has developed rapidly in the past decade and is becoming a promising diagnostic tool for periprosthetic infection (PJI). However, its diagnostic value for PJI is still uncertain. The purpose of this systematic review and meta-analysis was to evaluate the diagnostic value of NGS compared to culture. METHODS In this systematic review and meta-analysis, electronic databases including PubMed, Embase, Cochrane Central Register of Controlled Trials, Web of Science and clinicaltrials.gov were searched for studies from inception to 12 November 2023. Diagnostic parameters, such as sensitivity, specificity, diagnostic odds ratio and area under the summary receiver-operating characteristic (SROC) curve (AUC), were calculated for the included studies. A systematic review and meta-analysis was performed. RESULTS A total of 22 studies with 2461 patients were included in our study. The pooled sensitivity, specificity and diagnostic odds ratio of NGS were 87% (95% confidence interval [CI]: 83-90), 94% (95% CI: 91-96) and 111 (95% CI: 70-177), respectively. On the other hand, the pooled sensitivity, specificity and diagnostic odds ratio of culture were 63% (95% CI: 58-67), 98% (95% CI: 96-99) and 93 (95% CI: 40-212), respectively. The SROC curve for NGS and culture showed that the AUCs are 0.96 (95% CI: 0.94-0.98) and 0.82 (95% CI: 0.79-0.86), respectively. CONCLUSION This systematic review and meta-analysis found NGS had higher sensitivity and diagnostic accuracy but slightly lower specificity than culture. Based on the pooled results, we suggested NGS may have the potential to be a new tool for the diagnosis of PJI. LEVEL OF EVIDENCE Level IV.
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Affiliation(s)
- Shilong Su
- Department of Orthopedics, Peking University Third Hospital, Haidian, Beijing, China
- Engineering Research Center of Bone and Joint Precision Medicine, Peking University Third Hospital, Haidian, Beijing, China
| | - Ruideng Wang
- Department of Orthopedics, Peking University Third Hospital, Haidian, Beijing, China
- Engineering Research Center of Bone and Joint Precision Medicine, Peking University Third Hospital, Haidian, Beijing, China
| | - Rubing Zhou
- Department of Orthopedics, Beijing friendship hospital, Capital Medical University, Xicheng, Beijing, China
| | - Jinwu Bai
- Department of Orthopedics, Peking University Third Hospital, Haidian, Beijing, China
- Engineering Research Center of Bone and Joint Precision Medicine, Peking University Third Hospital, Haidian, Beijing, China
| | - Zhengyang Chen
- Department of Orthopedics, Peking University Third Hospital, Haidian, Beijing, China
- Engineering Research Center of Bone and Joint Precision Medicine, Peking University Third Hospital, Haidian, Beijing, China
| | - Fang Zhou
- Department of Orthopedics, Peking University Third Hospital, Haidian, Beijing, China
- Engineering Research Center of Bone and Joint Precision Medicine, Peking University Third Hospital, Haidian, Beijing, China
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Chen W, Liu G, Cui L, Tian F, Zhang J, Zhao J, Lv Y, Du J, Huan X, Wu Y, Zhang Y. Evaluation of metagenomic and pathogen-targeted next-generation sequencing for diagnosis of meningitis and encephalitis in adults: A multicenter prospective observational cohort study in China. J Infect 2024; 88:106143. [PMID: 38548243 DOI: 10.1016/j.jinf.2024.106143] [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: 11/26/2023] [Revised: 02/17/2024] [Accepted: 03/20/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND Next-generation sequencing (NGS) might aid in the identification of causal pathogens. However, the optimal approaches applied to cerebrospinal fluid (CSF) for detection are unclear, and studies evaluating the application of different NGS workflows for the diagnosis of intracranial infections are limited. METHODS In this multicenter, prospective observational cohort study, we described the diagnostic efficacy of pathogen-targeted NGS (ptNGS) and metagenomic NGS (mNGS) compared to that of composite microbiologic assays, for infectious meningitis/encephalitis (M/E). RESULTS In total, 152 patients diagnosed with clinically suspected M/E at four tertiary hospitals were enrolled; ptNGS and mNGS were used in parallel for pathogen detection in CSF. Among the 89 patients who were diagnosed with definite infectious M/E, 57 and 39 patients had causal microbial detection via ptNGS and mNGS, respectively. The overall accuracy of ptNGS was 65.1%, with a positive percent agreement (PPA) of 64% and a negative percent agreement (NPA) of 66.7%; and the overall accuracy of mNGS was 47.4%, with a PPA of 43.8% and an NPA of 52.4% after discrepancy analysis. There was a significant difference in the detection efficiency between these two methods both for PPA (sensitivity) and overall accuracy for pathogen detection (P < 0.05). CONCLUSIONS NGS tests have provided new information in addition to conventional microbiologic tests. ptNGS seems to have superior performance over mNGS for common causative pathogen detection in CSF for infectious M/E.
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Affiliation(s)
- Weibi Chen
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Gang Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Lili Cui
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Fei Tian
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jiatang Zhang
- Department of Neurology, the First Medical Center of People's Liberation Army General Hospital, Beijing, China
| | - Jiahua Zhao
- Department of Neurology, the First Medical Center of People's Liberation Army General Hospital, Beijing, China
| | - Ying Lv
- Department of Neurology & Psychiatry, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Jianxin Du
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China; Department of Neurosurgery, Beijing Fengtai Youanmen Hospital, Beijing, China
| | - Xinyu Huan
- Department of Neurosurgery, Beijing Fengtai Youanmen Hospital, Beijing, China
| | - Yingfeng Wu
- Department of Vascular Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
| | - Yan Zhang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China; Department of Sleep and Consciousness Disorders, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.
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Liu Y, Qin S, Lan C, Huang Q, Zhang P, Cao W. Effectiveness of metagenomic next-generation sequencing in the diagnosis of infectious diseases: A systematic review and meta-analysis. Int J Infect Dis 2024; 142:106996. [PMID: 38458421 DOI: 10.1016/j.ijid.2024.106996] [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: 09/21/2023] [Revised: 02/25/2024] [Accepted: 03/02/2024] [Indexed: 03/10/2024] Open
Abstract
OBJECTIVES Early diagnosis of infectious diseases remains a challenge. This study assessed the diagnostic value of mNGS in infections and explored the effect of various factors on the accuracy of mNGS. METHODS An electronic article search of PubMed, Cochrane Library, and Embase was performed. A total of 85 papers were eligible for inclusion and analysis. Stata 12.0 was used for statistical calculation to evaluate the efficacy of mNGS for the diagnosis of infectious diseases. RESULTS The AUC of 85 studies was 0.88 (95%CI, 0.85-0.90). The AUC of the clinical comprehensive diagnosis and conventional test groups was 0.92 (95%CI, 0.89-0.94) and 0.82 (95%CI, 0.78-0.85), respectively. The results of subgroup analysis indicated that the PLR and NLR were 12.67 (95%CI, 6.01-26.70) and 0.05 (95%CI, 0.03-0.10), respectively, in arthrosis infections. The PLR was 24.41 (95%CI, 5.70-104.58) in central system infections and the NLR of immunocompromised patients was 0.08 (95%CI, 0.01-0.62). CONCLUSION mNGS demonstrated satisfactory diagnostic performance for infections, especially for bone and joint infections and central system infections. Moreover, mNGS also has a high value in the exclusion of infection in immunocompromised patients.
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Affiliation(s)
- Yusi Liu
- Department of Pharmacy, Shenzhen Luohu People's Hospital, Shenzhen, Guangdong, PR China
| | - Sibei Qin
- Department of Pharmacy, Shenzhen Luohu People's Hospital, Shenzhen, Guangdong, PR China
| | - Chunhai Lan
- Department of Orthopedic Surgery, Shenzhen Luohu People's Hospital, Shenzhen, Guangdong, PR China
| | - Qinmiao Huang
- Department of Respiratory, Shenzhen Luohu People's Hospital, Shenzhen, Guangdong, PR China
| | - Peng Zhang
- Department of Pharmacy, Shenzhen Luohu People's Hospital, Shenzhen, Guangdong, PR China
| | - Weiling Cao
- Department of Pharmacy, Shenzhen Luohu People's Hospital, Shenzhen, Guangdong, PR China.
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20
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Li C, Xiao NS, Ke BY, Li S, Lin Y. Application of Metagenomic Next-Generation Sequencing in Suspected Spinal Infectious Diseases. World Neurosurg 2024; 185:e542-e548. [PMID: 38401756 DOI: 10.1016/j.wneu.2024.02.071] [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: 02/06/2024] [Accepted: 02/12/2024] [Indexed: 02/26/2024]
Abstract
OBJECTIVE This study aimed to explore the clinical efficacy of metagenomic next-generation sequencing (mNGS) in diagnosing and treating suspected spinal infectious diseases. METHODS Between October 2022 to December 2023, a retrospective analysis was performed on patient records within the Department of Spinal Surgery at Guilin People's Hospital. The analysis included comprehensive data on patients with presumed spinal infectious diseases, incorporating results from mNGS tests conducted externally, conventional pathogen detection results, laboratory examination results, and imaging findings. The study aimed to assess the applicability of mNGS in the context of suspected spinal infectious lesions. RESULTS Twenty-seven patients were included in the final analysis. Pathogenic microorganisms were identified in 23 cases. The included cases encompassed 1 case of tuberculous spondylitis, 1 case of fungal infection, 3 cases of Brucella spondylitis, 3 cases of viral infection, 9 cases of bacterial infection, and 6 cases of mixed infections. Pathogenic microorganisms remained elusive in 4 cases. The application of the mNGS method demonstrated a significantly elevated positive detection rate compared to conventional methods (85.19% vs. 48.15%, P < 0.05). Moreover, the mNGS method detected a greater variety of pathogen species than traditional methods (Z = 10.69, P < 0.05). Additionally, the mNGS method exhibited a shorter detection time. CONCLUSIONS mNGS demonstrated significantly higher detection rates for bacterial, fungal, viral, and mixed infections in cases of suspected spinal infectious diseases. The clinical implementation of mNGS could further enhance the efficiency of diagnosing and treating suspected spinal infectious diseases.
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Affiliation(s)
- Cheng Li
- Department of Orthopaedics, Guilin People's Hospital, Guilin, Guangxi Province, China
| | - Nian-Su Xiao
- Department of Orthopaedics, Guilin People's Hospital, Guilin, Guangxi Province, China
| | - Bao-Yi Ke
- Department of Orthopaedics, Guilin People's Hospital, Guilin, Guangxi Province, China
| | - Sen Li
- Department of Orthopaedics, Guilin People's Hospital, Guilin, Guangxi Province, China
| | - Yang Lin
- Department of Orthopaedics, Guilin People's Hospital, Guilin, Guangxi Province, China.
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Lin C, Li J, Liu B, Hong X, Luo T, Ye J, Yu Y, Peng X, Gou S, Tang H, Yuan T, Luo J, Yang M, Feng B, Zhao Z, Ning C, Sun Z, Zhu S, Chen L, Shen D, Huang G. Metagenomic next-generation sequencing, instead of procalcitonin, could guide antibiotic usage in patients with febrile acute necrotizing pancreatitis: a multicenter, prospective cohort study. Int J Surg 2024; 110:2721-2729. [PMID: 38348834 PMCID: PMC11093443 DOI: 10.1097/js9.0000000000001162] [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: 11/28/2023] [Accepted: 01/26/2024] [Indexed: 05/16/2024]
Abstract
BACKGROUNDS The effectiveness of procalcitonin-based algorithms in guiding antibiotic usage for febrile acute necrotizing pancreatitis (ANP) remains controversial. Metagenomic next-generation sequencing (mNGS) has been applied to diagnose infectious diseases. The authors aimed to evaluate the effectiveness of blood mNGS in guiding antibiotic stewardship for febrile ANP. MATERIALS AND METHODS The prospective multicenter clinical trial was conducted at seven hospitals in China. Blood samples were collected during fever (T ≥38.5°C) from ANP patients. The effectiveness of blood mNGS, procalcitonin, and blood culture in diagnosing pancreatic infection was evaluated and compared. Additionally, the real-world utilization of antibiotics and the potential mNGS-guided antimicrobial strategy in febrile ANP were also analyzed. RESULTS From May 2023 to October 2023, a total of 78 patients with febrile ANP were enrolled and 30 patients (38.5%) were confirmed infected pancreatic necrosis (IPN). Compared with procalcitonin and blood culture, mNGS showed a significantly higher sensitivity rate (86.7% vs. 56.7% vs. 26.7%, P <0.001). Moreover, mNGS outperformed procalcitonin (89.5 vs. 61.4%, P <0.01) and blood culture (89.5 vs. 69.0%, P <0.01) in terms of negative predictive value. Blood mNGS exhibited the highest accuracy (85.7%) in diagnosing IPN and sterile pancreatic necrosis, significantly superior to both procalcitonin (65.7%) and blood culture (61.4%). In the multivariate analysis, positive blood mNGS (OR=60.2, P <0.001) and lower fibrinogen level (OR=2.0, P <0.05) were identified as independent predictors associated with IPN, whereas procalcitonin was not associated with IPN, but with increased mortality (Odds ratio=11.7, P =0.006). Overall, the rate of correct use of antibiotics in the cohort was only 18.6% (13/70) and would be improved to 81.4% (57/70) if adjusted according to the mNGS results. CONCLUSION Blood mNGS represents important progress in the early diagnosis of IPN, with particular importance in guiding antibiotic usage for patients with febrile ANP.
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Affiliation(s)
- Chiayen Lin
- Department of Pancreatic Surgery, General Surgery
- Department of Hernia and Abdominal Wall Surgery
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha
| | - Jiarong Li
- Department of Pancreatic Surgery, General Surgery
- Department of Hernia and Abdominal Wall Surgery
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha
| | - Baiqi Liu
- Department of Pancreatic Surgery, General Surgery
- Department of Hernia and Abdominal Wall Surgery
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha
| | - Xiaoyue Hong
- Department of Pancreatic Surgery, General Surgery
- Department of Hernia and Abdominal Wall Surgery
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha
| | - Tao Luo
- Department of General Surgery, Changde Hospital, Xiangya School of Medicine, Central South University, Changde
| | - Jinsong Ye
- Department of General Surgery, Changde Hospital, Xiangya School of Medicine, Central South University, Changde
| | - Yi Yu
- Department of Hepatobiliary Surgery, General Surgery, The First People’s Hospital of Chenzhou City, Chenzhou
| | - Xinran Peng
- Department of Hepatobiliary Surgery, General Surgery, The First People’s Hospital of Chenzhou City, Chenzhou
| | - Shanmiao Gou
- Department of Pancreatic Surgery, General Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan
| | - Huayong Tang
- Department of General Surgery, The First Affiliated Hospital of Hunan Traditional Chinese Medical College
| | - Tongli Yuan
- Department of General Surgery, The First Affiliated Hospital of Hunan Traditional Chinese Medical College
| | - Jianguan Luo
- Department of Hepatobiliary Surgery, General Surgery, Liuyang People’s Hospital, Changsha
| | - Ming Yang
- Department of Hepatobiliary Surgery, General Surgery, Liuyang People’s Hospital, Changsha
| | - Bin Feng
- Center of Hepatobiliary and Pancreatic Surgery, Zhuzhou Hospital Affiliated to Xiangya School of Medicine, Central South University, Zhuzhou, Hunan Province, People’s Republic of China
| | - Zhijian Zhao
- Center of Hepatobiliary and Pancreatic Surgery, Zhuzhou Hospital Affiliated to Xiangya School of Medicine, Central South University, Zhuzhou, Hunan Province, People’s Republic of China
| | - Caihong Ning
- Department of Pancreatic Surgery, General Surgery
- Department of Hernia and Abdominal Wall Surgery
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha
| | - Zefang Sun
- Department of Pancreatic Surgery, General Surgery
- Department of Hernia and Abdominal Wall Surgery
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha
| | - Shuai Zhu
- Department of Pancreatic Surgery, General Surgery
- Department of Hernia and Abdominal Wall Surgery
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha
| | - Lu Chen
- Department of Pancreatic Surgery, General Surgery
- Department of Hernia and Abdominal Wall Surgery
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha
| | - Dingcheng Shen
- Department of Pancreatic Surgery, General Surgery
- Department of Hernia and Abdominal Wall Surgery
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha
| | - Gengwen Huang
- Department of Pancreatic Surgery, General Surgery
- Department of Hernia and Abdominal Wall Surgery
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha
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Huang HY, Bu KP, Liu JW, Wei J. Overlapping infections of Mycobacterium canariasense and Nocardia farcinica in an immunocompetent patient: A case report. World J Clin Cases 2024; 12:2079-2085. [PMID: 38680269 PMCID: PMC11045514 DOI: 10.12998/wjcc.v12.i12.2079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 02/26/2024] [Accepted: 04/02/2024] [Indexed: 04/16/2024] Open
Abstract
BACKGROUND Infections by non-tuberculous mycobacteria (NTM) have become more common in recent years. Mycobacterium canariasense (M. canariasense) was first reported as an opportunistic pathogen in 2004, but there have been very few case reports since then. Nocardia is a genus of aerobic and Gram-positive bacilli, and these species are also opportunistic pathogens and in the Mycobacteriales order. Conventional methods for diagnosis of NTM are inefficient. Metagenomic next-generation sequencing (mNGS) can rapidly detect many pathogenic microorganisms, even rare species. Most NTM and Nocardia infections occur in immunocompromised patients with atypical clinical symptoms. There are no previous reports of infection by M. canariasense and Nocardia farcinica (N. farcinica), especially in immunocompetent patients. This case report describes an immunocompetent 52-year-old woman who had overlapping infections of M. canariasense, N. farcinica, and Candida parapsilosis (C. parapsilosis) based on mNGS. CASE SUMMARY A 52-year-old woman presented with a productive cough and chest pain for 2 wk, and recurrent episodes of moderate-grade fever for 1 wk. She received antibiotics for 1 wk at a local hospital, and experienced defervescence, but the productive cough and chest pain persisted. We collected samples of a lung lesion and alveolar lavage fluid for mNGS. The lung tissue was positive for M. canariasense, N. farcinica, and C. parapsilosis, and the alveolar lavage fluid was positive for M. canariasense. The diagnosis was pneumonia, and application of appropriate antibiotic therapy cured the patient. CONCLUSION Etiological diagnosis is critical for patients with infectious diseases. mNGS can identify rare and novel pathogens, and does not require a priori knowledge.
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Affiliation(s)
- Hai-Yan Huang
- Department of Comprehensive Internal Medicine, The Affiliated Cancer Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
| | - Kun-Peng Bu
- Department of Comprehensive Internal Medicine, The Affiliated Cancer Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
| | - Jin-Wei Liu
- Department of Doppler Ultrasound, The Second Nanning People's Hospital, Nanning 530021, Guangxi Zhuang Autonomous Region, China
| | - Jing Wei
- Department of Comprehensive Internal Medicine, The Affiliated Cancer Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
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Sun C, Zhou C, Wang L, Wei S, Shi M, Li J, Lin L, Liu X. Clinical application of metagenomic next-generation sequencing for the diagnosis of suspected infection in adults: A cross-sectional study. Medicine (Baltimore) 2024; 103:e37845. [PMID: 38640284 PMCID: PMC11029930 DOI: 10.1097/md.0000000000037845] [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: 07/14/2022] [Revised: 03/15/2024] [Accepted: 03/19/2024] [Indexed: 04/21/2024] Open
Abstract
Metagenomic next-generation sequencing (mNGS) has become an available method for pathogen detection. The clinical application of mNGS requires further evaluation. We conducted a cross-sectional study of 104 patients with suspected infection between May 2019 and May 2021. The risk factors associated with infection were analyzed using univariate logistic analysis. The diagnostic performance of pathogens was compared between mNGS and conventional microbiological tests. About 104 patients were assigned into 3 groups: infected group (n = 69), noninfected group (n = 20), and unknown group (n = 15). With the composite reference standard (combined results of all microbiological tests, radiological testing results, and a summary of the hospital stay of the patient) as the gold standard, the sensitivity, specificity, positive predictive value, negative predictive value of mNGS was 84.9%, 50.0%, 88.6%, and 42.1%, respectively. Compared with conventional microbiological tests, mNGS could detect more pathogens and had obvious advantages in Mycobacterium tuberculosis, Aspergillus, and virus detection. Moreover, mNGS had distinct benefits in detecting mixed infections. Bacteria-fungi-virus mixed infections were the most common in patients with severe pneumonia. mNGS had a higher sensitivity than conventional microbiological tests, especially for M. tuberculosis, Aspergillus, viruses, and mixed infections. We suggest that mNGS should be used more frequently in the early diagnosis of pathogens in critically ill patients in the future.
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Affiliation(s)
- Chunping Sun
- Department of Geriatrics, Peking University First Hospital, Peking University, Beijing, China
- Department of Critical Care Medicine, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Peking University Cancer Hospital and Institute, Beijing, China
| | - Chaoe Zhou
- Department of Geriatrics, Peking University First Hospital, Peking University, Beijing, China
| | - Lina Wang
- Department of Geriatrics, Peking University First Hospital, Peking University, Beijing, China
| | - Shanchen Wei
- Department of Geriatrics, Peking University First Hospital, Peking University, Beijing, China
| | - Mingwei Shi
- Department of Geriatrics, Peking University First Hospital, Peking University, Beijing, China
| | - Jun Li
- Department of Geriatrics, Peking University First Hospital, Peking University, Beijing, China
| | - Lianjun Lin
- Department of Geriatrics, Peking University First Hospital, Peking University, Beijing, China
| | - Xinmin Liu
- Department of Geriatrics, Peking University First Hospital, Peking University, Beijing, China
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Zhang J, Hou XY, Wang JY, Lu B. Case report: Cutaneous anthrax diagnosed using mNGS of a formalin-fixed paraffin-embedded tissue sample. Front Cell Infect Microbiol 2024; 14:1329235. [PMID: 38638828 PMCID: PMC11024221 DOI: 10.3389/fcimb.2024.1329235] [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: 11/08/2023] [Accepted: 03/11/2024] [Indexed: 04/20/2024] Open
Abstract
The metagenomic next-generation sequencing (mNGS) method is preferred for genotyping useful for the identification of organisms, illumination of metabolic pathways, and determination of microbiota. It can accurately obtain all the nucleic acid information in the test sample. Anthrax is one of the most important zoonotic diseases, infecting mainly herbivores and occasionally humans. The disease has four typical clinical forms, cutaneous, gastrointestinal, inhalation, and injection, all of which may result in sepsis or meningitis, with cutaneous being the most common form. Here, we report a case of cutaneous anthrax diagnosed by mNGS in a butcher. Histopathology of a skin biopsy revealed PAS-positive bacilli. Formalin-fixed paraffin-embedded (FFPE) tissue sample was confirmed the diagnosis of anthrax by mNGS. He was cured with intravenous penicillin. To our knowledge, this is the first case of cutaneous anthrax diagnosed by mNGS using FFPE tissue. mNGS is useful for identifying pathogens that are difficult to diagnose with conventional methods, and FFPE samples are simple to manage. Compared with traditional bacterial culture, which is difficult to cultivate and takes a long time, mNGS can quickly and accurately help us diagnose anthrax, so that anthrax can be controlled in a timely manner and prevent the outbreak of epidemic events.
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Affiliation(s)
- Jin Zhang
- Department of Clinical Medicine, Jining Medical University, Jining, Shandong, China
- Department of Dermatology, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Xin-Yi Hou
- Department of Clinical Medicine, Jining Medical University, Jining, Shandong, China
- Department of Dermatology, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Jing-Yu Wang
- Department of Clinical Medicine, Jining Medical University, Jining, Shandong, China
- Department of Dermatology, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Bin Lu
- Department of Dermatology, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
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Liu C, He Z, Kong M, Jin D. Development of a duplex droplet digital PCR assay for the detection of Burkholderia cepacia complex and Stenotrophomonas maltophilia in bloodstream infections. Microbiol Spectr 2024; 12:e0356923. [PMID: 38411052 PMCID: PMC10986617 DOI: 10.1128/spectrum.03569-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 02/03/2024] [Indexed: 02/28/2024] Open
Abstract
Burkholderia cepacia complex (BCC) and Stenotrophomonas maltophilia are nosocomial pathogens that cause various infections and exhibit high resistance to multiple antimicrobial agents. In this study, we aimed to develop a duplex droplet digital PCR (ddPCR) assay for detecting BCC and S. maltophilia in bloodstream infections. We optimized the experimental conditions by setting the annealing temperature to 51°C and determining the optimal concentrations of primers and probes, as well as the thermal cycle numbers. The feasibility of the duplex ddPCR reaction system with the optimal conditions was established and verified through parallel reactions with reference strains of BCC and S. maltophilia. The specificity of the assay, tested with 33 reference strains, was found to be 100%. The duplex ddPCR assay demonstrated good repeatability and could detect as low as 5.35 copies/reaction of BCC and 7.67 copies/reaction of S. maltophilia. This level of sensitivity was consistent in the simulated blood and blood bottle samples. We compared nucleic acid extraction methods and found that the Chelex-100 boiling method and kit extraction method exhibited similar detection sensitivity, suggesting the potential application of the Chelex-100 boiling method in the ddPCR assay. In the clinical samples, the duplex ddPCR assay accurately detected BCC and S. maltophilia in 58 cases. In conclusion, our study successfully developed a duplex ddPCR assay that provides accurate and convenient detection of BCC and S. maltophilia in bloodstream infections.IMPORTANCEBurkholderia cepacia complex (BCC) and Stenotrophomonas maltophilia are implicated in a wide range of infections, including bloodstream infections (BSIs), pneumonia, and meningitis, and often exhibit high intrinsic resistance to multiple antimicrobial agents, limiting therapeutic options. The gold standard for diagnosing bloodstream infections remains blood culture. However, current blood culture detection and positivity rates do not meet the "rapid diagnosis" required for the diagnosis and treatment of critically ill patients with BSIs. The digital droplet PCR (ddPCR) method is a potentially more powerful tool in the diagnosis of BSIs compared to other molecular methods due to its greater sensitivity, specificity, accuracy, and reproducibility. In this study, a duplex ddPCR assay for the detection of BCC and S. maltophilia in BSIs was developed.
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Affiliation(s)
- Chunmei Liu
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Ziqiang He
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Mimi Kong
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dong Jin
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Hebei Key Laboratory of Intractable Pathogens, Shijiazhuang Center for Disease Control and Prevention, Shijiazhuang, Hebei, China
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Deng Y, Zhang H, Lu J, Zhou Z, Zhang T, Cui X. Whipple's disease of the respiratory system: A case report. Exp Ther Med 2024; 27:133. [PMID: 38414785 PMCID: PMC10895612 DOI: 10.3892/etm.2024.12421] [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: 09/27/2023] [Accepted: 01/25/2024] [Indexed: 02/29/2024] Open
Abstract
Whipple's disease (WD) is a multiple-system chronic disease caused by Tropheryma whipplei (T. whipplei) infection. The present study describes 3 cases of WD with clinical manifestations of cough, chest pain, headache, dyspnea, sputum, joint pain, abdominal pain, diarrhea and weight loss. Chest computed tomography (CT) showed signs of plaques, nodules and pleural thickening; and bronchoscopic alveolar lavage fluid metagenomic-sequencing indicated that it was T. whipplei. One patient was treated with meropenem as the starting regimen and two patients were treated with ceftriaxone as the starting regimen. Furthermore, two patients were provided with a maintenance regimen of cotrimoxazole and one was given a maintenance regimen of minocycline, which was combined with meropenem and ceftriaxone in order to improve their cough, chest pain, headache and dyspnea symptoms. To the best of our knowledge, there are few reports on WD of the respiratory system caused by T. whipplei, and differential diagnosis is the key to clinical diagnosis. When WD of the respiratory system is difficult to diagnose, metagenomic second-generation sequencing (mNGS) may be a better choice, which can achieve early diagnosis and early treatment. However, its clinical value is still limited; therefore, more research needs to be conducted in the future.
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Affiliation(s)
- Yue Deng
- Department of Respiratory and Critical Care Medicine, The Fifth People's Hospital of Chongqing, Chongqing 400062, P.R. China
| | - Hongmei Zhang
- Department of Respiratory and Critical Care Medicine, The Fifth People's Hospital of Chongqing, Chongqing 400062, P.R. China
| | - Junyu Lu
- Department of Respiratory and Critical Care Medicine, The Fifth People's Hospital of Chongqing, Chongqing 400062, P.R. China
| | - Zhiyu Zhou
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, P.R. China
| | - Ting Zhang
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, P.R. China
| | - Xuerong Cui
- Department of Respiratory Medicine, People's Hospital of Shizhu Tujia Autonomous County, Chongqing 409199, P.R. China
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Chen GJ, Chen XB, Rao WY, Pan XY, Li SY, Su ZQ. Airway necrosis and granulation tissue formation caused by Rhizopus oryzae leading to severe upper airway obstruction: a case report. Front Cell Infect Microbiol 2024; 14:1366472. [PMID: 38500502 PMCID: PMC10944989 DOI: 10.3389/fcimb.2024.1366472] [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: 01/06/2024] [Accepted: 02/19/2024] [Indexed: 03/20/2024] Open
Abstract
Pulmonary Mucormycosis is a fatal infectious disease with high mortality rate. The occurrence of Mucormycosis is commonly related to the fungal virulence and the host's immunological defenses against pathogens. Mucormycosis infection and granulation tissue formation occurred in the upper airway was rarely reported. This patient was a 60-year-old male with diabetes mellitus, who was admitted to hospital due to progressive cough, sputum and dyspnea. High-resolution computed tomography (HRCT) and bronchoscopy revealed extensive tracheal mucosal necrosis, granulation tissue proliferation, and severe airway stenosis. The mucosal necrotic tissue was induced by the infection of Rhizopus Oryzae, confirmed by metagenomic next-generation sequencing (mNGS) in tissue biopsy. This patient was treated with the placement of a covered stent and local instillation of amphotericin B via bronchoscope. The tracheal mucosal necrosis was markedly alleviated, the symptoms of cough, shortness of breath, as well as exercise tolerance were significantly improved. The placement of airway stent and transbronchial microtube drip of amphotericin B could conduce to rapidly relieve the severe airway obstruction due to Mucormycosis infection.
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Affiliation(s)
- Geng-Jia Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
- Nanshan School of Medical, Guangzhou Medical University, Guangzhou, China
| | - Xiao-Bo Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Wan-Yuan Rao
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Xiao-Yi Pan
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Shi-Yue Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Zhu-Quan Su
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
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Zhang W, Guo X, Xu X, Deng B. Case Report: A rare case of intramedullary spinal cord abscess with brain abscess caused by Klebsiella pneumoniae underwent surgical intervention. Front Surg 2024; 11:1338719. [PMID: 38476758 PMCID: PMC10927835 DOI: 10.3389/fsurg.2024.1338719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 01/08/2024] [Indexed: 03/14/2024] Open
Abstract
Background Intramedullary Spinal Cord Abscess (ISCA) is an uncommon infectious disease of the central nervous system. Since its first report in 1830, there have been very few documented cases associated with it. Here, we present a case of ISCA with cerebral abscess caused by Klebsiella pneumoniae. Case presentation A 55-year-old male patient presented with head and neck pain, fever, and left limb weakness for 5 days. The diagnosis of ISCA with brain abscess caused by Klebsiella pneumoniae was confirmed through sputum culture, cerebrospinal fluid gene test, pus culture, and magnetic resonance imaging (MRI) as well as computerized tomography (CT) scan. The patient had a history of pulmonary tuberculosis and old tuberculous foci were observed in the lung. Initially considering tuberculosis as the cause due to unclear etiology at that time, anti-tuberculosis treatment was administered. However, due to rapid deterioration in the patient's condition and severe neurological dysfunction within a short period of time after admission, surgical intervention including incision and drainage for intramedullary abscess along with removal of brain abscess was performed. Subsequent postoperative follow-up showed improvement in both symptoms and imaging findings. Conclusion Early diagnosis of central nervous system (CNS) abscess coupled with prompt surgical intervention and administration of appropriate antibiotics are crucial factors in preventing disease progression and reducing mortality rates.
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Affiliation(s)
- Wenjuan Zhang
- Graduate School of Zunyi, Zunyi Medical University, Zunyi, Guizhou Province, China
- Department of Neurosurgery, Chengdu Second People’s Hospital, Chengdu, Sichuan Province, China
| | - Xiangyu Guo
- Graduate School of Zunyi, Zunyi Medical University, Zunyi, Guizhou Province, China
- Department of Neurosurgery, Chengdu Second People’s Hospital, Chengdu, Sichuan Province, China
| | - Xuejun Xu
- Department of Neurosurgery, Chengdu Second People’s Hospital, Chengdu, Sichuan Province, China
| | - Bing Deng
- Department of Neurosurgery, Chengdu Second People’s Hospital, Chengdu, Sichuan Province, China
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Chen Z, Ye T, He Y, Pan A, Mei Q. Use of pus metagenomic next-generation sequencing for efficient identification of pathogens in patients with sepsis. Folia Microbiol (Praha) 2024:10.1007/s12223-024-01134-7. [PMID: 38341816 DOI: 10.1007/s12223-024-01134-7] [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: 07/19/2023] [Accepted: 01/12/2024] [Indexed: 02/13/2024]
Abstract
The positive detection rate of blood metagenomic next-generation sequencing (mNGS) was still too low to meet clinical needs, while pus from the site of primary infection may be advantageous for identification of pathogens. To assess the value of mNGS using pus in patients with sepsis, thirty-five samples were collected. Pathogen identification and mixed infection diagnosis obtained by use of mNGS or cultivation methods were compared. Fifty-three aerobic or facultative anaerobes, 59 obligate anaerobes and 7 fungi were identified by the two methods. mNGS increased the accuracy rate of diagnosing aerobic or facultative anaerobic infections from 44.4% to 94.4%; mNGS also increased the sensitivity of diagnosing obligate anaerobic infections from 52.9% to 100.0%; however, mNGS did not show any advantage in terms of fungal infections. Culture and mNGS identified 1 and 24 patients with mixed infection, respectively. For obligate anaerobes, source of microorganisms was analyzed. The odontogenic bacteria all caused empyema (n = 7) or skin and soft tissue infections (n = 5), whereas the gut-derived microbes all caused intra-abdominal infections (n = 7). We also compared the clinical characteristics of non-obligate anaerobic and obligate anaerobic infection groups. The SOFA score [9.0 (7.5, 14.3) vs. 5.0 (3.0, 8.0), P = 0.005], procalcitonin value [4.7 (1.8, 39.9) vs. 2.50 (0.7, 8.0), P = 0.035], the proportion of septic shock (66.7% vs. 35.3%, P = 0.044) and acute liver injury (66.7% vs. 23.5%, P = 0.018) in the non-obligate anaerobic infection group were significantly higher than those in the obligate anaerobic infection group. In patients with sepsis caused by purulent infection, mNGS using pus from the primary lesion may yield more valuable microbiological information.
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Affiliation(s)
- Zhendong Chen
- Department of Intensive Care Unit, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Tingting Ye
- Department of Cardiovascular Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Yuxi He
- Department of Intensive Care Unit, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Aijun Pan
- Department of Intensive Care Unit, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
- Department of Intensive Care Unit, The Affiliated Provincial Hospital of Anhui Medical University, Anhui, 230001, China.
- WanNan Medical College, Wuhu, 241002, Anhui, China.
| | - Qing Mei
- Department of Intensive Care Unit, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
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Chen Y, Wang J, Niu T. Clinical and diagnostic values of metagenomic next-generation sequencing for infection in hematology patients: a systematic review and meta-analysis. BMC Infect Dis 2024; 24:167. [PMID: 38326763 PMCID: PMC10848439 DOI: 10.1186/s12879-024-09073-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: 11/13/2023] [Accepted: 01/29/2024] [Indexed: 02/09/2024] Open
Abstract
OBJECTIVES This meta-analysis focused on systematically assessing the clinical value of mNGS for infection in hematology patients. METHODS We searched for studies that assessed the clinical value of mNGS for infection in hematology patients published in Embase, PubMed, Cochrane Library, Web of Science, and CNKI from inception to August 30, 2023. We compared the detection positive rate of pathogen for mNGS and conventional microbiological tests (CMTs). The diagnostic metrics, antibiotic adjustment rate and treatment effective rate were combined. RESULTS Twenty-two studies with 2325 patients were included. The positive rate of mNGS was higher than that of CMT (blood: 71.64% vs. 24.82%, P < 0.001; BALF: 89.86% vs. 20.78%, P < 0.001; mixed specimens: 82.02% vs. 28.12%, P < 0.001). The pooled sensitivity and specificity were 87% (95%CI: 81-91%) and 59% (95%CI: 43-72%), respectively. The reference standard/neutropenia and research type/reference standard may be sources of heterogeneity in sensitivity and specificity, respectively. The pooled antibiotic adjustment rate according to mNGS was 49.6% (95% CI: 41.8-57.4%), and the pooled effective rate was 80.9% (95% CI: 62.4-99.3%). CONCLUSION mNGS has high positive detection rates in hematology patients. mNGS can guide clinical antibiotic adjustments and improve prognosis, especially in China.
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Affiliation(s)
- Yuhui Chen
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
| | - Jinjin Wang
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
| | - Ting Niu
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China.
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Chen Y, Wang J, Gan X, Li M, Liao Y, Zhou Y, Niu T. Application of plasma metagenomic next-generation sequencing improves prognosis in hematology patients with neutropenia or hematopoietic stem cell transplantation for infection. Front Cell Infect Microbiol 2024; 14:1338307. [PMID: 38371300 PMCID: PMC10869557 DOI: 10.3389/fcimb.2024.1338307] [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: 11/14/2023] [Accepted: 01/17/2024] [Indexed: 02/20/2024] Open
Abstract
Introduction Metagenomic next-generation sequencing (mNGS) is a novel technique for detecting pathogens. This retrospective study evaluated the diagnostic value of mNGS using plasma for infections in hematology patients and its impact on clinical treatment and prognosis in different subgroups of hematology patients. Methods A total of 153 hematology patients with suspected infection who underwent mNGS using plasma were enrolled in the study. Their clinical histories, conventional microbiological test (CMT) results, mNGS results, treatment and prognosis were retrospectively analyzed. Results In 153 plasma samples, mNGS yielded a higher positivity rate than CMT (total: 88.24% vs. 40.52%, P<0.001; bacteria: 35.95% vs. 21.57%, P < 0.01; virus: 69.93% vs. 21.57%, P<0.001; fungi: 20.26% vs. 7.84%, P<0.01). mNGS had a higher positivity rate for bacteria and fungi in the neutropenia group than in the non-neutropenia group (bacteria: 48.61% vs. 24.69%, P<0.01; fungi: 27.78% vs. 13.58%, P<0.05). mNGS demonstrated a greater advantage in the group of patients with hematopoietic stem cell transplantation (HSCT). Both the 3-day and 7-day efficacy rates in the HSCT group were higher than those in the non-HSCT group (3-day: 82.22% vs. 58.65%, P < 0.01; 7-day: 88.89% vs. 67.31%, P < 0.01), and the 28-day mortality rate was lower in the HSCT group than in the non-HSCT group (6.67% vs. 38.89%, P < 0.000). The neutropenia group achieved similar efficacy and mortality rates to the non-neutropenia group (7-day efficiency rate: 76.39% vs. 71.43%, P > 0.05; mortality rate: 29.17% vs. 29.63%, P > 0.05) with more aggressive antibiotic adjustments (45.83% vs. 22.22%, P < 0.01). Conclusion mNGS can detect more microorganisms with higher positive rates, especially in patients with neutropenia. mNGS had better clinical value in patients with hematopoietic stem cell transplantation (HSCT) or neutropenia, which had a positive effect on treatment and prognosis.
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Affiliation(s)
- Yuhui Chen
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
| | - Jinjin Wang
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
| | - Xinai Gan
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
| | - Meng Li
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
| | - Yi Liao
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
| | - Yongzhao Zhou
- Integrated Care Management Center, West China Hospital, Sichuan University, Chengdu, China
| | - Ting Niu
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
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Ji Q, Jiang X, Wang M, Xin Z, Zhang W, Qu J, Liu GH. Multimodal Omics Approaches to Aging and Age-Related Diseases. PHENOMICS (CHAM, SWITZERLAND) 2024; 4:56-71. [PMID: 38605908 PMCID: PMC11003952 DOI: 10.1007/s43657-023-00125-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 08/09/2023] [Accepted: 08/16/2023] [Indexed: 04/13/2024]
Abstract
Aging is associated with a progressive decline in physiological capacities and an increased risk of aging-associated disorders. An increasing body of experimental evidence shows that aging is a complex biological process coordinately regulated by multiple factors at different molecular layers. Thus, it is difficult to delineate the overall systematic aging changes based on single-layer data. Instead, multimodal omics approaches, in which data are acquired and analyzed using complementary omics technologies, such as genomics, transcriptomics, and epigenomics, are needed for gaining insights into the precise molecular regulatory mechanisms that trigger aging. In recent years, multimodal omics sequencing technologies that can reveal complex regulatory networks and specific phenotypic changes have been developed and widely applied to decode aging and age-related diseases. This review summarizes the classification and progress of multimodal omics approaches, as well as the rapidly growing number of articles reporting on their application in the field of aging research, and outlines new developments in the clinical treatment of age-related diseases based on omics technologies.
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Affiliation(s)
- Qianzhao Ji
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China
- University of Chinese Academy of Sciences, Beijing, 100049 China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101 China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101 China
| | - Xiaoyu Jiang
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China
- University of Chinese Academy of Sciences, Beijing, 100049 China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101 China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101 China
| | - Minxian Wang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101 China
- University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Zijuan Xin
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China
- University of Chinese Academy of Sciences, Beijing, 100049 China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101 China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101 China
| | - Weiqi Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101 China
- University of Chinese Academy of Sciences, Beijing, 100049 China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101 China
- School of Future Technology, University of Chinese Academy of Sciences, Beijing, 100190 China
| | - Jing Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China
- University of Chinese Academy of Sciences, Beijing, 100049 China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101 China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101 China
| | - Guang-Hui Liu
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China
- University of Chinese Academy of Sciences, Beijing, 100049 China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101 China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101 China
- School of Future Technology, University of Chinese Academy of Sciences, Beijing, 100190 China
- Advanced Innovation Center for Human Brain Protection, National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053 China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China
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Xu CH, Chen X, Zhu GQ, Yi HM, Chen SL, Liu T, Yu YT, Zhang QH, Jiang EL, Feng SZ. Diagnostic performance and clinical impacts of metagenomic sequencing after allogeneic hematopoietic stem cell transplantation. JOURNAL OF MICROBIOLOGY, IMMUNOLOGY, AND INFECTION = WEI MIAN YU GAN RAN ZA ZHI 2024; 57:11-19. [PMID: 38065767 DOI: 10.1016/j.jmii.2023.11.002] [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: 07/02/2023] [Revised: 10/10/2023] [Accepted: 11/17/2023] [Indexed: 02/12/2024]
Abstract
BACKGROUND Metagenomic Next-Generation Sequencing (mNGS) is a rapid, non-culture-based, high-throughput technique for pathogen diagnosis. Despite its numerous advantages, only a few studies have investigated its use in patients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT). METHODS We conducted a retrospective analysis of 404 mNGS tests performed on 264 patients after allo-HSCT. The tests were divided into three groups (Phase A, B, C) based on the time spent hospitalized post-transplantation, and we evaluated the analytical performance of mNGS in comparison with conventional microbiological tests (CMT), while also analyzing its clinical utility for clinical impacts. RESULTS Metagenomic sequencing demonstrated a significantly higher rate of positive microbiological findings as compared to CMT (334/404 (82.7 %) vs. 159/404 (39.4 %), respectively, P < 0.001). The detection rates by both mNGS and CMT varied across the three-phase (mNGS: A-60/89 (67.4 %), B-147/158 (93.0 %), C-125/157 (79.6 %), respectively, P < 0.001; CMT: A-21/89 (23.6 %), B-79/158 (50.0 %), C-59/157 (37.6 %), respectively, P < 0.001). The infection sites and types of pathogens were also different across the three phases. Compared to non-GVHD cases, mNGS detected more Aspergillus spp. and Mucorales in GVHD patients (Aspergillus: 12/102 (11.8 %) vs. 8/158 (5.1 %), respectively, P = 0.048; Mucorales: 6/102 (5.9 %) vs. 2/158 (1.3 %), respectively, P = 0.035). Forty-five (181/404) percent of mNGS tests yielded a positive impact on the clinical diagnosis, while 24.3 % (98/404) of tests benefited the patients in antimicrobial treatment. CONCLUSION mNGS is an indispensable diagnostic tool in identifying pathogens and optimizing antibiotic therapy for hematological patients receiving allo-HSCT.
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Affiliation(s)
- Chun-Hui Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China; Microbiology Laboratory, Tianjin Union Precision Medical Diagnostic Co., Ltd, Tianjin 301617, China
| | - Xin Chen
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Guo-Qing Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Hui-Ming Yi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Shu-Lian Chen
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Teng Liu
- Microbiology Laboratory, Tianjin Union Precision Medical Diagnostic Co., Ltd, Tianjin 301617, China
| | - Yue-Tian Yu
- Department of Critical Care Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiu-Hui Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Er-Lie Jiang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China.
| | - Si-Zhou Feng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China.
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Zhang M, Chen L, Zhao H, Qiao T, Jiang L, Wang C, Zhong X, Li X, Xu Y. Metagenomic next-generation sequencing for diagnosis of infectious encephalitis and meningitis: a retrospective study of 90 patients. Neurol Res 2024; 46:187-194. [PMID: 37931016 DOI: 10.1080/01616412.2023.2265243] [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: 12/23/2022] [Accepted: 09/24/2023] [Indexed: 11/08/2023]
Abstract
BACKGROUND Infections of the central nervous system (CNS) are potentially life-threatening and can cause serious morbidity. We evaluated the clinical value of metagenomic next-generation sequencing (mNGS) in the diagnosis of infectious encephalitis and meningitis and explored the factors affecting the results of mNGS. METHODS Patients with suspected cases of encephalitis or meningitis who presented in Northern Jiangsu People's Hospital from 1 March 2018 to 30 September 2022 were collected. Demographic, historical, and clinical information were obtained, and cerebrospinal fluid (CSF) samples were treated with mNGS. The pathogen was identified using National Center for Biotechnology Information (NCBI) GenBank sequence data. RESULTS Ninety-six patients were screened and finally 90 subjects enrolled. Of the 90 enrolled cases, 67 (74.4%) were diagnosed with central nervous system infections, which included 48 cases (71.6%) of viral infection, 11 (12.2%) of bacterial infection, 5 (7.5%) of mycobacterium tuberculosis, 2 (3.0%) of fungal infection, and 1 (1.5%) of rickettsia infection. From these cases, mNGS identified 40 (44.4%) true-positive cases, 3 (3.3%) false-positive case, 22 (24.4%) true-negative cases, and 25 (27.8%) false-negative cases. The sensitivity and specificity of mNGS were 61.5% and 88%, respectively. mNGS of CSF could show a higher positive rate in patients with marked CSF abnormalities, including elevated protein concentrations and monocyte counts. CONCLUSION mNGS of CSF is an effective method for detecting infectious encephalitis and meningitis, and the results should be analyzed combined with conventional microbiological testing results.
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Affiliation(s)
- Mengling Zhang
- Department of Neurology, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, China
| | - Lanlan Chen
- Department of Neurology, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, China
| | - Haina Zhao
- Department of Neurology, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, China
| | - Tingting Qiao
- Department of Neurology, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, China
| | - Li Jiang
- Department of Gerontology Northern Jiangsu People's Hospital, Clinical Medical School of Yangzhou University, Yangzhou, China
| | - Chenxin Wang
- Department of Neurology, Northern Jiangsu People's Hospital, The Yangzhou School of Clinical Medicine of Dalian Medical University, Yangzhou, China
| | - Xingxing Zhong
- Department of Neurology, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, China
| | - Xiaobo Li
- Department of Neurology, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, China
| | - Yao Xu
- Department of Neurology, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, China
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Wu J, Song W, Yan H, Luo C, Hu W, Xie L, Shen N, Cao Q, Mo X, An K, Tao Y. Metagenomic next-generation sequencing in detecting pathogens in pediatric oncology patients with suspected bloodstream infections. Pediatr Res 2024; 95:843-851. [PMID: 37857845 PMCID: PMC10899103 DOI: 10.1038/s41390-023-02776-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 06/26/2023] [Accepted: 07/17/2023] [Indexed: 10/21/2023]
Abstract
BACKGROUND Studies on mNGS application in pediatric oncology patients, who are at high risk of infection, are quite limited. METHODS From March 2020 to June 2022, a total of 224 blood samples from 195 pediatric oncology patients who were suspected as bloodstream infections were enrolled in this study. Their clinical and laboratory data were retrospectively reviewed, and the diagnostic performance of mNGS was assessed. RESULTS Compared to the reference tests, mNGS showed significantly higher sensitivity (89.8% vs 32.5%, P < 0.001) and clinical agreement (76.3% vs 51.3%, P < 0.001) in detecting potential pathogens and distinguishing BSI from non-BSI. Especially, mNGS had an outstanding performance for virus detection, contributing to 100% clinical diagnosed virus. Samples from patients with neutropenia showed higher incidence of bacterial infections (P = 0.035). The most identified bacteria were Escherichia coli, and the overall infections by gram-negative bacteria were significantly more prevalent than those by gram-positive ones (90% vs 10%, P < 0.001). Overall, mNGS had an impact on the antimicrobial regimens' usage in 54.3% of the samples in this study. CONCLUSIONS mNGS has the advantage of rapid and effective pathogen diagnosis in pediatric oncology patients with suspected BSI, especially for virus. IMPACT Compared with reference tests, mNGS showed significantly higher sensitivity and clinical agreement in detecting potential pathogens and distinguishing bloodstream infections (BSI) from non-BSI. mNGS is particularly prominent in clinical diagnosed virus detection. The incidence of bacterial infection was higher in patients with neutropenia, and the overall infection rate of Gram-negative bacteria was significantly higher than that of Gram-positive bacteria. mNGS affects the antimicrobial regimens' usage in more than half of patients.
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Affiliation(s)
- Jing Wu
- Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenting Song
- Department of Infectious Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hui Yan
- Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chengjuan Luo
- Department of Hematology and Oncology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenting Hu
- Department of Hematology and Oncology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li Xie
- Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Nan Shen
- Department of Infectious Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qing Cao
- Department of Infectious Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Xi Mo
- Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Kang An
- Department of Hematology and Oncology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yue Tao
- Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Jin W, Liu Y, Ning Q, Wu S, Su S, Zheng D, Ma S, Zou J, Yang M, Hu D, Ding H. A case of chronic wounds caused by Sporothrix schenckii infection was rapidly detected by metagenomic next generation sequencing. Heliyon 2024; 10:e24420. [PMID: 38298647 PMCID: PMC10827762 DOI: 10.1016/j.heliyon.2024.e24420] [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: 07/17/2023] [Revised: 12/12/2023] [Accepted: 01/09/2024] [Indexed: 02/02/2024] Open
Abstract
The dimorphic fungus Sporothrix schenckii is widely distributed in soil, vegetation, and decaying organic matter, and can cause sporotrichosis when the patient's skin trauma was exposed to contaminated material with Sporothrix spp. The cases of Sporothrix schenckii infection in chronic wounds are rarely reported. Here we reported a 53-year-old male construction worker who was admitted to our hospital on July 9, 2022, without underlying disease presented with a painless subcutaneous hard nodule on his right calf, which later ulcerated and oozed, with an enlarged wound and no fever during the course of the disease. His procalcitonin, C-reactive protein, erythrocyte sedimentation rate increased, and necrotic histopathology suggested chronic granulomatous inflammation. Then his necrotic tissue and pus were sent for metagenomic next generation sequencing(mNGS), the result reported Sporothrix schenckii after 43 hours, which was consistent with the result of culture after 18 days. mNGS might be more useful and valuable in diseases such as sporotrichosis where it is difficult to see the yeast cells in the tissues.
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Affiliation(s)
- Wenxiang Jin
- Department of Infectious Diseases, KingMed Diagnostics, Guangzhou, Guangdong, 510005, China
| | - Yong Liu
- Department of Infectious Diseases, KingMed Diagnostics, Guangzhou, Guangdong, 510005, China
| | - Qiuyue Ning
- Department of Infectious Diseases, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Shuwen Wu
- Department of Infectious Diseases, KingMed Diagnostics, Guangzhou, Guangdong, 510005, China
| | - Sibiao Su
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Dongyan Zheng
- Department of Dermatology and Venereology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Shasha Ma
- Department of Infectious Diseases, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Jun Zou
- Department of Infectious Diseases, The Fourth People's Hospital of Nanning, Nanning, Guangxi, 530023, China
| | - Min Yang
- Department of Infectious Diseases, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Diefei Hu
- Department of Infectious Diseases, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Huarong Ding
- Department of Burns and Plastic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China
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Nafea AM, Wang Y, Wang D, Salama AM, Aziz MA, Xu S, Tong Y. Application of next-generation sequencing to identify different pathogens. Front Microbiol 2024; 14:1329330. [PMID: 38348304 PMCID: PMC10859930 DOI: 10.3389/fmicb.2023.1329330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Accepted: 12/18/2023] [Indexed: 02/15/2024] Open
Abstract
Early and precise detection and identification of various pathogens are essential for epidemiological monitoring, disease management, and reducing the prevalence of clinical infectious diseases. Traditional pathogen detection techniques, which include mass spectrometry, biochemical tests, molecular testing, and culture-based methods, are limited in application and are time-consuming. Next generation sequencing (NGS) has emerged as an essential technology for identifying pathogens. NGS is a cutting-edge sequencing method with high throughput that can create massive volumes of sequences with a broad application prospects in the field of pathogen identification and diagnosis. In this review, we introduce NGS technology in detail, summarizes the application of NGS in that identification of different pathogens, including bacteria, fungi, and viruses, and analyze the challenges and outlook for using NGS to identify clinical pathogens. Thus, this work provides a theoretical basis for NGS studies and provides evidence to support the application of NGS in distinguishing various clinical pathogens.
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Affiliation(s)
- Aljuboori M. Nafea
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
- College of Medicine, Department of Microbiology, Ibn Sina University of Medical and Pharmaceutical Science, Baghdad, Iraq
| | - Yuer Wang
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
| | - Duanyang Wang
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
| | - Ahmed M. Salama
- State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing, China
- Medical Laboratory at Sharkia Health Directorate, Ministry of Health, Sharkia, Egypt
| | - Manal A. Aziz
- College of Medicine, Department of Microbiology, Ibn Sina University of Medical and Pharmaceutical Science, Baghdad, Iraq
| | - Shan Xu
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
| | - Yigang Tong
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
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Chen M, Cai Y, Wang L, Jiang Y, Qian J, Qin J, Xu J, Li J, Yu S, Shen B. Metagenomic next-generation sequencing testing from the perspective of clinical benefits. Clin Chim Acta 2024; 553:117730. [PMID: 38141936 DOI: 10.1016/j.cca.2023.117730] [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: 12/07/2023] [Revised: 12/18/2023] [Accepted: 12/18/2023] [Indexed: 12/25/2023]
Abstract
BACKGROUND AND AIMS Metagenomic next-generation sequencing (mNGS) provided promising supports to rapid pathogen diagnosis. However, summary of scientific application strategy based on clinical practice study is still necessary for enhancing clinical benefits. MATERIALS AND METHODS We conducted a retrospective analysis of 775 samples from patients with suspected infectious diseases (IDs). Based on final diagnosis, diagnostic performance, clinical relevance and clinical impact of mNGS among various clinical settings were assessed, and influencing factors were deeply explored. RESULTS 84.26 % tests were clinically relevant; sample, but not sequencing, was the influencing factor. 40.77 % tests contributed to positive clinical impact, while 0.13 % and 59.10 % to negative and no impact respectively. mNGS utility in patients with IDs, definite infection site, BALF and CSF contributed to higher positive impacts. Days of empirical treatment before sampling ≤ 5 in ICU and ≤ 2 or between 11 and 20 in non-ICU, and reporting in 2 days brought about higher clinical benefit rates. Characteristic pathogen spectrum between ICU and non-ICU cases were revealed. CONCLUSIONS Our findings highlighted clinical benefits from mNGS varied among different clinical settings, and elucidated choices on patients, samples, sampling and reporting time were four key factors. Rational strategy should be concerned to promote scientific application of mNGS and better improve clinical value.
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Affiliation(s)
- Mengyuan Chen
- Department of Laboratory Medicine, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, China; Department of Laboratory Medicine, Enze Hospital, Taizhou Enze Medical Center (Group), China; Key Laboratory of System Medicine and Precision Diagnosis and Treatment of Taizhou, China.
| | - Yingying Cai
- Department of Laboratory Medicine, Enze Hospital, Taizhou Enze Medical Center (Group), China; Department of Laboratory Medicine, Taizhou Rehabilitation Hospital, Taizhou Enze Medical Center (Group), China; Key Laboratory of System Medicine and Precision Diagnosis and Treatment of Taizhou, China.
| | - Lisha Wang
- Department of Laboratory Medicine, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, China; Key Laboratory of System Medicine and Precision Diagnosis and Treatment of Taizhou, China.
| | - Yongpo Jiang
- Emergency Intensive Care Unit, Enze Hospital, Taizhou Enze Medical Center (Group), China.
| | - Jiao Qian
- Department of Laboratory Medicine, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, China; Key Laboratory of System Medicine and Precision Diagnosis and Treatment of Taizhou, China.
| | - Jiajia Qin
- Department of Laboratory Medicine, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, China; Key Laboratory of System Medicine and Precision Diagnosis and Treatment of Taizhou, China.
| | - Jiaqin Xu
- Department of Laboratory Medicine, Enze Hospital, Taizhou Enze Medical Center (Group), China; Department of Laboratory Medicine, Taizhou Rehabilitation Hospital, Taizhou Enze Medical Center (Group), China; Key Laboratory of System Medicine and Precision Diagnosis and Treatment of Taizhou, China.
| | - Jun Li
- Department of Laboratory Medicine, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, China; Department of Laboratory Medicine, Enze Hospital, Taizhou Enze Medical Center (Group), China; Department of Laboratory Medicine, Taizhou Rehabilitation Hospital, Taizhou Enze Medical Center (Group), China; Key Laboratory of System Medicine and Precision Diagnosis and Treatment of Taizhou, China.
| | - Sufei Yu
- Department of Laboratory Medicine, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, China; Key Laboratory of System Medicine and Precision Diagnosis and Treatment of Taizhou, China.
| | - Bo Shen
- Department of Laboratory Medicine, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, China; Department of Laboratory Medicine, Enze Hospital, Taizhou Enze Medical Center (Group), China; Department of Laboratory Medicine, Taizhou Rehabilitation Hospital, Taizhou Enze Medical Center (Group), China; Key Laboratory of System Medicine and Precision Diagnosis and Treatment of Taizhou, China.
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Guo Q, Xiao Y, Zhang S. Metagenomic next generation sequencing of bronchoalveolar lavage samples for the diagnosis of lower respiratory tract infections: A systematic review and meta-analysis. Heliyon 2024; 10:e23188. [PMID: 38148812 PMCID: PMC10750151 DOI: 10.1016/j.heliyon.2023.e23188] [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: 12/06/2022] [Revised: 10/07/2023] [Accepted: 11/29/2023] [Indexed: 12/28/2023] Open
Abstract
Background Lower respiratory tract infections (LRTI)are known to be diagnosed late or inaccurately. This has fueled the unscrupulous use of antibiotics, as they are often used empirically and clinically, leading to antibiotic abuse and multidrug resistance in patients. Metagenomic next-generation sequencing (mNGS), now widely used in clinical studies, could be a potential intervention to revolutionize microbiology by rapidly identifying unknown species. Methods This review and meta-analysis were conducted on eligible studies with respect to metagenomic sequencing on clinical LRTI diagnostics up to May 01, 2022. QUADAS-2 was employed to assess the methodological bias as well as applicability. After that, a meta-analysis was conducted to analyze the accuracy of mNGS, compared with the composite reference standard (CRS), among the enrolled studies. Results This work collected 1248 samples in 13/21 qualified articles to factor in the accuracy of the diagnostic test. Typically, methods like molecular testing, culture, composite measures, and clinical decision-making were adopted as the reference criteria. With regard to Bronchoalveolar Lavage Samples, their sensitivity was 89% (82-93%) while their specificity was 90% (66-98%), with obvious heterogeneities in these two factors as demonstrated by different studies. The summary receiver operating characteristic (SROC) curve was plotted for mNGS as a function of LRTI, and the area under the curve (AUC) was 0.94. A Funnel plot with a p-value greater than 0.05 indicated the absence of publication bias. Positive and negative likelihood ratios (PLR and NLR) were >10 and > 0.1, respectively. In this pre-test probability-post-probability-likelihood ratio relationship graph, the values were Prior prob (%) = 20, Post-prob-Pos (%) = 77 and Post-prob-Neg (%) = 4. Conclusion The AUC value of SROC suggested a high accuracy of mNGS in diagnosis, with no publication bias and high reliability. The application of mNGS exhibits notable diagnostic efficacy in discerning pathogens present in bronchoalveolar lavage fluid (BALF) among patients afflicted with LRTI. However, mNGS is more meaningful for the definitive diagnosis of the disease rather than the exclusion of the disease. This post-test probability is significantly higher than the pre-test probability.
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Affiliation(s)
- Qiang Guo
- Department of Clinical Laboratory, Anhui Provincial Children’s Hospital, Hefei, 230000, Anhui, China
| | - Yang Xiao
- School of Anesthesiology, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Shihai Zhang
- Department of Clinical Laboratory, Anhui Provincial Children’s Hospital, Hefei, 230000, Anhui, China
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Yan M, Zou X, Wang Y, Wang C, Wang Y, Liu Z, Shang L, Cui X, Cao B. Impact of Metagenomic Next-Generation Sequencing of Bronchoalveolar Lavage Fluid on Antimicrobial Stewardship in Patients With Lower Respiratory Tract Infections: A Retrospective Cohort Study. J Infect Dis 2024; 229:223-231. [PMID: 37506257 DOI: 10.1093/infdis/jiad296] [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: 03/19/2023] [Revised: 07/19/2023] [Accepted: 07/27/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND The impact of metagenomic next-generation sequencing (mNGS) on antimicrobial stewardship in patients with lower respiratory tract infections (LRTIs) is still unknown. METHODS This retrospective cohort study included patients who had LRTIs diagnosed and underwent bronchoalveolar lavage between September 2019 and December 2020. Patients who underwent both mNGS and conventional microbiologic tests were classified as the mNGS group, while those with conventional tests only were included as a control group. A 1:1 propensity score match for baseline variables was conducted, after which changes in antimicrobial stewardship between the 2 groups were assessed. RESULTS A total of 681 patients who had an initial diagnosis of LRTIs and underwent bronchoalveolar lavage were evaluated; 306 patients were finally included, with 153 in each group. mNGS was associated with lower rates of antibiotic escalation than in the control group (adjusted odds ratio, 0.466 [95% confidence interval, .237-.919]; P = .02), but there was no association with antibiotic de-escalation. Compared with the control group, more patients discontinued the use of antivirals in the mNGS group. CONCLUSIONS The use of mNGS was associated with lower rates of antibiotic escalation and may facilitate the cessation of antivirals, but not contribute to antibiotic de-escalation in patients with LRTIs.
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Affiliation(s)
- Mengwei Yan
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Capital Medical University, Beijing, China
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, National Clinical Research Center for Respiratory Diseases, China-Japan Friendship Hospital, Beijing, China
| | - Xiaohui Zou
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Capital Medical University, Beijing, China
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, National Clinical Research Center for Respiratory Diseases, China-Japan Friendship Hospital, Beijing, China
| | - Yeming Wang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Capital Medical University, Beijing, China
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, National Clinical Research Center for Respiratory Diseases, China-Japan Friendship Hospital, Beijing, China
| | - Chenhui Wang
- Department of Anesthesiology, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Yimin Wang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, National Clinical Research Center for Respiratory Diseases, China-Japan Friendship Hospital, Beijing, China
| | - Zhibo Liu
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, National Clinical Research Center for Respiratory Diseases, China-Japan Friendship Hospital, Beijing, China
| | - Lianhan Shang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, National Clinical Research Center for Respiratory Diseases, China-Japan Friendship Hospital, Beijing, China
| | - Xiaojing Cui
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, National Clinical Research Center for Respiratory Diseases, China-Japan Friendship Hospital, Beijing, China
| | - Bin Cao
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Capital Medical University, Beijing, China
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, National Clinical Research Center for Respiratory Diseases, China-Japan Friendship Hospital, Beijing, China
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Tsinghua University School of Medicine, Beijing, China
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Ma R, Li C, Gao A, Jiang N, Feng X, Li J, Hu W. Evidence-practice gap analysis in the role of tick in brucellosis transmission: a scoping review. Infect Dis Poverty 2024; 13:3. [PMID: 38191468 PMCID: PMC10773131 DOI: 10.1186/s40249-023-01170-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 12/20/2023] [Indexed: 01/10/2024] Open
Abstract
BACKGROUND Brucellosis is a zoonotic affliction instigated by bacteria belonging to the genus Brucella and is characterized by a diverse range of pervasiveness, multiple transmission routes, and serious hazards. It is imperative to amalgamate the current knowledge and identify gaps pertaining to the role of ticks in brucellosis transmission. METHODS We systematically searched China National Knowledge Infrastructure (CNKI), WanFang, Google Scholar, and PubMed on the topic published until April 23, 2022. The procedure was performed in accordance with the Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines. The selected articles were categorized across three major topic areas, and the potential data was extracted to describe evidence-practice gaps by two reviewers. RESULTS The search identified 83 eligible studies for the final analyses. The results highlighted the potential capacity of ticks in brucellosis transmission as evidenced by the detection of Brucella in 16 different tick species. The pooled overall prevalence of Brucella in ticks was 33.87% (range: 0.00-87.80%). The review also revealed the capability of Brucella to circulate in parasitic ticks' different developmental stages, thus posing a potential threat to animal and human health. Empirical evidence from in vitro rodent infection experiments has revealed that ticks possess the capability to transmit Brucella to uninfected animals (range: 45.00-80.00%). Moreover, significant epidemiological associations have been found between the occurrence of brucellosis in animals and tick control in rangelands, which further suggests that ticks may serve as potential vectors for brucellosis transmission in ruminants. Notably, a mere three cases of human brucellosis resulting from potential tick bites were identified in search of global clinical case reports from 1963 to 2019. CONCLUSIONS It is imperative to improve the techniques used to identify Brucella in ticks, particularly by developing a novel, efficient, precise approach that can be applied in a field setting. Furthermore, due to the lack of adequate evidence of tick-borne brucellosis, it is essential to integrate various disciplines, including experimental animal science, epidemiology, molecular genetics, and others, to better understand the efficacy of tick-borne brucellosis. By amalgamating multiple disciplines, we can enhance our comprehension and proficiency in tackling tick-borne brucellosis.
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Affiliation(s)
- Rui Ma
- School of Life Sciences, Inner Mongolia University, Hohhot, 010070, China
| | - Chunfu Li
- School of Life Sciences, Inner Mongolia University, Hohhot, 010070, China
| | - Ai Gao
- School of Life Sciences, Inner Mongolia University, Hohhot, 010070, China
| | - Na Jiang
- School of Life Sciences, Inner Mongolia University, Hohhot, 010070, China
| | - Xinyu Feng
- School of Life Sciences, Inner Mongolia University, Hohhot, 010070, China.
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 20025, China.
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, 20025, China.
| | - Jian Li
- School of Life Sciences, Inner Mongolia University, Hohhot, 010070, China.
- Basic Medical College, Guangxi University of Chinese Medical, Nanning, 530005, Guangxi, China.
| | - Wei Hu
- School of Life Sciences, Inner Mongolia University, Hohhot, 010070, China.
- Basic Medical College, Guangxi University of Chinese Medical, Nanning, 530005, Guangxi, China.
- Department of Infectious Diseases, Huashan Hospital, State Key Laboratory of Genetic Engineering, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, 200438, China.
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Cao Z, He X, Wang D, Gu M, Suo F, Qiang R, Zhang R, Song C, Wang X, Zhu B, Cao D, Yu H, Qu Y, Shen G, Wu J, Wang P, Wang J, Zhang H, Yan Z, Yu G, Zou L. Targeted exome sequencing strategy (NeoEXOME) for Chinese newborns using a pilot study with 3423 neonates. Mol Genet Genomic Med 2024; 12:e2357. [PMID: 38284445 PMCID: PMC10795095 DOI: 10.1002/mgg3.2357] [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: 02/01/2023] [Revised: 09/15/2023] [Accepted: 12/26/2023] [Indexed: 01/30/2024] Open
Abstract
BACKGROUND Newborn screening (NBS) aims to detect congenital anomalies, and next-generation sequencing (NGS) has shown promise in this aspect. However, the NBS strategy for monogenic inherited diseases in China remains insufficient. METHODS We developed a NeoEXOME panel comprising 601 genes that are relevant to the Chinese population found through extensive research on available databases. An interpretation system to grade the results into positive (high-risk, moderate-risk, and low-risk genotypes), negative, and carrier according to the American College of Medical Genetics (ACMG) guidelines was also developed. We validated the panel to evaluate its efficacy by using data from the "1000 Genomes Project" and conducted a pilot multicenter study involving 3423 neonates. RESULTS The NGS positive rate in the 1000 Genomes Project was 7.6% (23/301), whereas the rate was 12.0% in the multicenter study, including 3249 recruited neonates. Notably, in 200 neonates, positive per conventional NBS, 58.5% (69/118) showed results consistent with NGS. In the remaining 3049 neonates showing negative results in conventional NBS, 271 (8.9%) were positive per NGS, and nine of them were clinically diagnosed with diseases in the follow-up. CONCLUSION We successfully designed a NeoEXOME panel for targeted sequencing of monogenic inherited diseases in NBS. The panel demonstrated high performance in the Chinese population, particularly for the early detection of diseases with no biochemical markers.
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Affiliation(s)
- Ziyang Cao
- Clinical Research Unit, Shanghai Children's HospitalShanghai Jiao Tong University Medical SchoolShanghaiChina
- Institute of Pediatric Infection, Immunity, and Critical Care MedicineShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Xiaoyan He
- Center for Clinical Molecular Laboratory Medicine of Children's Hospital of Chongqing Medical UniversityChongqingChina
| | - Dongjuan Wang
- Center for Clinical Molecular Laboratory Medicine of Children's Hospital of Chongqing Medical UniversityChongqingChina
| | - Maosheng Gu
- Center of Medical GeneticsXuzhou Maternal and Child Health Care HospitalXuzhouChina
| | - Feng Suo
- Center of Medical GeneticsXuzhou Maternal and Child Health Care HospitalXuzhouChina
| | - Rong Qiang
- Center of Medical GeneticsNorthwest Women and Children's HospitalXi'anChina
| | - Ruixue Zhang
- Center of Medical GeneticsNorthwest Women and Children's HospitalXi'anChina
| | - Chengrong Song
- Center of Medical GeneticsNorthwest Women and Children's HospitalXi'anChina
| | - Xiaohua Wang
- Center of Medical GeneticsInner Mongolia Maternal and Child Health Care HospitalHohhotChina
| | - Bo Zhu
- Center of Medical GeneticsInner Mongolia Maternal and Child Health Care HospitalHohhotChina
| | - Donghua Cao
- Medical Genetic LaboratoryDalian Municipal Women and Children's Medical Center (Group)DalianChina
- Genetic LaboratoryShenyang Jinghua Hospital Co., LtdShenyangChina
| | - Haihua Yu
- Medical Genetic LaboratoryDalian Municipal Women and Children's Medical Center (Group)DalianChina
| | - Yiping Qu
- Newborn Screening Center of Children's Hospital of Zhejiang University School of MedicineHangzhouChina
| | - Guosong Shen
- Medical Laboratory Center of Huzhou Maternal and Child Health Care HospitalHuzhouChina
| | - Jian Wu
- Research and Development DepartmentMyGenostics Inc.BeijingChina
| | - Pengpeng Wang
- Research and Development DepartmentMyGenostics Inc.BeijingChina
| | - Jinxia Wang
- Clinical Research Unit, Shanghai Children's HospitalShanghai Jiao Tong University Medical SchoolShanghaiChina
- Institute of Pediatric Infection, Immunity, and Critical Care MedicineShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Hongyang Zhang
- Clinical Research Unit, Shanghai Children's HospitalShanghai Jiao Tong University Medical SchoolShanghaiChina
- Institute of Pediatric Infection, Immunity, and Critical Care MedicineShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Zijun Yan
- Clinical Research Unit, Shanghai Children's HospitalShanghai Jiao Tong University Medical SchoolShanghaiChina
- Institute of Pediatric Infection, Immunity, and Critical Care MedicineShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Guangjun Yu
- Clinical Research Unit, Shanghai Children's HospitalShanghai Jiao Tong University Medical SchoolShanghaiChina
- Institute of Pediatric Infection, Immunity, and Critical Care MedicineShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Lin Zou
- Clinical Research Unit, Shanghai Children's HospitalShanghai Jiao Tong University Medical SchoolShanghaiChina
- Institute of Pediatric Infection, Immunity, and Critical Care MedicineShanghai Jiao Tong University School of MedicineShanghaiChina
- Center for Clinical Molecular Laboratory Medicine of Children's Hospital of Chongqing Medical UniversityChongqingChina
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Song J, Lin S, Zhu L, Lin Y, An W, Zhang J, Wang H, Yang Z, Liao Y, Xu Y, Li Q. Direct identification of pathogens via microbial cellular DNA in whole blood by MeltArray. Microb Biotechnol 2024; 17:e14380. [PMID: 38084800 PMCID: PMC10832520 DOI: 10.1111/1751-7915.14380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 10/27/2023] [Accepted: 11/16/2023] [Indexed: 02/03/2024] Open
Abstract
Rapid identification of pathogens is critical for early and appropriate treatment of bloodstream infections. The various culture-independent assays that have been developed often have long turnaround times, low sensitivity and narrow pathogen coverage. Here, we propose a new multiplex PCR assay, MeltArray, which uses intact microbial cells as the source of genomic DNA (gDNA). The successive steps of the MeltArray assay, including selective lysis of human cells, microbial cell sedimentation, microbial cellular DNA extraction, target-specific pre-amplification and multiplex PCR detection, allowed the detection of 35 major bloodstream infectious pathogens in whole blood within 5.5 h. The limits of detection varied depending on the pathogen and ranged from 1 to 5 CFU/mL. Of 443 blood culture samples, including 373 positive blood culture samples and 70 negative blood culture samples, the MeltArray assay showed a sensitivity of 93.8% (350/373, 95% confidence interval [CI] = 90.7%-96.0%), specificity of 98.6% (69/70, 95% CI = 91.2%-99.9%), positive predictive value of 99.7% (95% CI = 98.1%-99.9%), and negative predictive value of 75.0% (95% CI = 64.7%-83.2%). The MeltArray detection results of 16 samples differed from MALDI-TOF and were confirmed by Sanger sequencing. Further testing of 110 whole blood samples from patients with suspected bloodstream infections using blood culture results revealed that the MeltArray assay had a clinical sensitivity of 100% (9/9, 95% CI = 62.8%-100.0%), clinical specificity of 74.5% (70/94, 95% CI = 64.2%-82.7%), positive predictive value of 27.3% (95% CI = 13.9%-45.8%), and negative predictive value of 100.0% (95% CI = 93.5%-100.0%). Compared with metagenomic next-generation sequencing, the MeltArray assay displayed a positive agreement of 85.7% (6/7, 95% CI = 42.0%-99.2%) and negative agreement of 100.0% (4/4, 95% CI = 39.6%-100.0%). We conclude that the MeltArray assay can be used as a rapid and reliable tool for direct identification of pathogens in bloodstream infections.
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Affiliation(s)
- Jiabao Song
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life SciencesXiamen UniversityXiamenChina
| | - Su Lin
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life SciencesXiamen UniversityXiamenChina
| | - Lin Zhu
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life SciencesXiamen UniversityXiamenChina
| | - Yong Lin
- Zhongshan HospitalXiamen UniversityXiamenChina
| | - Wenbin An
- Xiang'an HospitalXiamen UniversityXiamenChina
| | - Jinding Zhang
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life SciencesXiamen UniversityXiamenChina
| | - Haohao Wang
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life SciencesXiamen UniversityXiamenChina
| | - Zhuan Yang
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life SciencesXiamen UniversityXiamenChina
| | - Yiqun Liao
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life SciencesXiamen UniversityXiamenChina
| | - Ye Xu
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life SciencesXiamen UniversityXiamenChina
| | - Qingge Li
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life SciencesXiamen UniversityXiamenChina
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Zeng X, Liang Y, Wang H, Chen J, Xu Y, Ou Q, Yin J, Zhuang J, Xiong W, Tang L, Li X, Tong G, Lei L, Jian X. Detection of pathogens from venous or arterial blood of patients with left-sided infective endocarditis by metagenomic next-generation sequencing: A prospective study. Clin Chim Acta 2024; 552:117698. [PMID: 38072301 DOI: 10.1016/j.cca.2023.117698] [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: 08/22/2023] [Accepted: 12/04/2023] [Indexed: 12/19/2023]
Abstract
BACKGROUND Infective endocarditis is a life-threatening uncommon infectious disease, and we aimed to explore the clinical utility of venous or arterial blood-based metagenomic next-generation sequencing (mNGS) approaches to diagnose left-sided infective endocarditis (LSIE). METHODS We prospectively studied 79 LSIE patients who received valvular surgery in our hospital. Results of blood culture, valve culture, venous blood-based mNGS, arterial blood-based mNGS, venous blood-based mNGS plus blood culture, and arterial blood-based mNGS plus blood culture were evaluated and compared. RESULTS Both venous blood- and arterial blood-based mNGS methods displayed significantly higher positive detection rates than blood culture and valve culture (43.0 %, 49.4 % vs. 32.9 %, 19.0 %; P < 0.001). Strikingly, when combining blood-based mNGS and blood culture, the positive rate could be further improved to more than 60 %. Moreover, we found mNGS LSIE detection was closely associated with preoperative leukocyte (P = 0.027), neutrophil value (P = 0.018), vegetation ≥ 14 mm (P = 0.043), and vegetations in aortic valve (P = 0.048). In addition, we discovered that blood-based mNGS had a superir capacity over blood culture to detect gram-negative bacteria, fungi, Bartonella Quintana, and mixed infections than blood culture. CONCLUSION This study indicates that venous blood- and arterial blood-based mNGS displayed high positive rate in the rapid detection of pathogens in high-risk LSIE patients.
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Affiliation(s)
- Xiaodong Zeng
- Department of Cardiac Surgical Intensive Care Unit, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, P.R. China
| | - Yuemei Liang
- Guangzhou Health Science College, Guangzhou, Guangdong, 510000, China
| | - Han Wang
- Department of Cardiac Surgical Intensive Care Unit, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, P.R. China
| | - Jimei Chen
- Department of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, P.R. China; Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangzhou, 510080, P.R. China
| | - Yang Xu
- Nanjing Dinfectome Technology Inc., Nanjing, Jiangsu, China
| | - Qiuxiang Ou
- Nanjing Dinfectome Technology Inc., Nanjing, Jiangsu, China
| | - Jia Yin
- Nanjing Dinfectome Technology Inc., Nanjing, Jiangsu, China
| | - Jian Zhuang
- Department of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, P.R. China; Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangzhou, 510080, P.R. China
| | - Weiping Xiong
- Department of Cardiac Surgical Intensive Care Unit, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, P.R. China
| | - Lili Tang
- Department of Cardiac Surgical Intensive Care Unit, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, P.R. China
| | - Xueming Li
- Department of Cardiac Surgical Intensive Care Unit, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, P.R. China
| | - Guang Tong
- Department of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, P.R. China
| | - Liming Lei
- Department of Cardiac Surgical Intensive Care Unit, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, P.R. China; Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangzhou, 510080, P.R. China.
| | - Xuhua Jian
- Department of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, P.R. China.
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Shi Y, Peng JM, Hu XY, Yang QW, Wang Y. Metagenomic next-generation sequencing for detecting Aspergillosis pneumonia in immunocompromised patients: a retrospective study. Front Cell Infect Microbiol 2023; 13:1209724. [PMID: 38188627 PMCID: PMC10770824 DOI: 10.3389/fcimb.2023.1209724] [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: 04/21/2023] [Accepted: 12/07/2023] [Indexed: 01/09/2024] Open
Abstract
Purpose The identification of Aspergillus by metagenomic next-generation sequencing (mNGS) remains a challenging task due to the difficulty of nucleic acid extraction. The objective of this study was to determine whether mNGS could provide an accurate and efficient method for detecting invasive pulmonary aspergillosis (IPA) in immunocompromised patients (ICP). Methods A total of 133 ICP admitted to the ICU between January 2020 and September 2022 were enrolled in the study, of which 46 were diagnosed with IPA and 87 were non-IPA cases. The bronchoalveolar lavage fluid (BALF) was analyzed for the presence of Aspergillosis and other co-pathogens using mNGS, and its diagnostic performance was compared to conventional microbial tests (CMTs) that included smear, cultures, serum and BALF galactomannan (GM) test. Clinical composite diagnosis was used as the reference standard. Results mNGS had a sensitivity, specificity, and accuracy of 82.6%, 97.7%, and 92.5%, respectively, in diagnosing IPA. These findings were comparable to those of the combination of multiple CMTs. Interestingly, the sensitivity of mNGS was superior to that of any single CMT method, as demonstrated by comparisons with smears (8.7%, P < 0.001), culture (39.1%, P < 0.001), serum GM (23.9%, P < 0.001) and BALF GM (69.6%, P = 0.031). mNGS was capable of accurately distinguish strains of Aspergillus genus, with a consistency of 77.8% with culture. Furthermore, mNGS also identified A. fumigatus, A. flavus, A. terrestris, A. oryzae and Mucor spp. in culture-negative cases. The sequencing reads of Aspergillus by mNGS exhibited extensive variation, ranging from 11 to1702. A positive correlation was observed between the optical density index of BALF GM and unique reads by mNGS (r = 0.607, P = 0.001) in BALF-GM positive patients. Notably, mNGS was able to diagnose 35 out of 37 cases with mixed infection, with P. jirovecii and cytomegalovirus being the most common co-pathogens. Conclusions mNGS presents a feasible and remarkably sensitive approach for detecting Aspergillus in ICP, thereby serving as a valuable adjunctive tool to CMT. Furthermore, mNGS's ability to accurately identify fungal species and co-pathogens can assist in guiding appropriate antimicrobial therapy.
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Affiliation(s)
- Yan Shi
- Department of Medical ICU, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Jin-Min Peng
- Department of Medical ICU, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Xiao-Yun Hu
- Department of Medical ICU, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Qi-Wen Yang
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Yao Wang
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
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Qian M, Li C, Zhang M, Zhan Y, Zhu B, Wang L, Shen Q, Yue L, Chen H, Cheng Y. Blood metagenomics next-generation sequencing has advantages in detecting difficult-to-cultivate pathogens, and mixed infections: results from a real-world cohort. Front Cell Infect Microbiol 2023; 13:1268281. [PMID: 38188631 PMCID: PMC10768086 DOI: 10.3389/fcimb.2023.1268281] [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: 07/27/2023] [Accepted: 12/07/2023] [Indexed: 01/09/2024] Open
Abstract
Background Blood is a common sample source for metagenomics next-generation sequencing (mNGS) in clinical practice. In this study, we aimed to detect the diagnostic value of blood mNGS in a large real-world cohorts. Methods Blood mNGS results of 1,046 cases were collected and analyzed along with other laboratory tests. The capabilities and accuracy of blood mNGS were compared with other conventional approaches. Results Both the surgical department and the intensive care unit had a positive rate of over 80% in blood mNGS. The positive rate of mNGS was consistent with clinical manifestations. Among the 739 positive samples, 532 were detected as mixed infections. Compared to pathogen cultures, the negative predictive value of blood mNGS for bacteria and fungi detection was 98.9% [95%CI, 96.9%-100%], with an accuracy rate of 89.39%. When compared with polymer chain reaction, the consistency rates of blood mNGS for virus identification were remarkably high. Conclusions Blood mNGS have significant advantages in detecting difficult-to-cultivate bacteria or fungi, viruses, and mixed infections, which benefits patients of surgery department the most. Samples other than blood are recommended for mNGS test if a specific infection is suspected. The reporting threshold and reporting criteria of blood mNGS need to be optimized.
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Affiliation(s)
- Mengjia Qian
- Institute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Chang Li
- Institute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Miaomiao Zhang
- Institute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yanxia Zhan
- Department of Hematology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Bijun Zhu
- Institute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Lingyan Wang
- Institute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qi Shen
- Institute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Lei Yue
- Institute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Hao Chen
- Department of Thoracic Surgery, Zhongshan-Xuhui Hospital, Fudan University, Shanghai, China
| | - Yunfeng Cheng
- Institute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of Hematology, Zhongshan Hospital, Fudan University, Shanghai, China
- Center for Tumor Diagnosis & Therapy, Jinshan Hospital, Fudan University, Shanghai, China
- Department of Hematology, Zhongshan Hospital Qingpu Branch, Fudan University, Shanghai, China
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Cheng H, Wu H, Tan N, Liu Z, Wang N, Chen N, Li C. Diagnostic Efficacy of Metagenomic Next-Generation Sequencing in Patients with Spinal Infections: A Retrospective Study. Infect Drug Resist 2023; 16:7613-7620. [PMID: 38107430 PMCID: PMC10725644 DOI: 10.2147/idr.s435466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 12/06/2023] [Indexed: 12/19/2023] Open
Abstract
Purpose Early diagnosis of spinal infections remains challenging, and emerging metagenomic next-generation sequencing (mNGS) technology holds promise in addressing this issue. The aim of this study is to investigate the diagnostic efficacy of mNGS in spinal infections. Patients and Methods A total of 78 cases with suspected spinal infections were enrolled in this study, all of whom underwent laboratory, histopathological and mNGS examinations upon admission. Lesion samples were obtained by surgical or C-arm-guided puncture. Sensitivity, specificity, positive predictive value and negative predictive value of culture and mNGS were calculated for statistical analysis. Results With histopathological results as the reference, the included 78 patients were categorized into 50 cases in the spinal infection group and 28 cases in the aseptic group. The sensitivity (84%) and negative predictive value (77.14%) of mNGS were significantly higher than those of culture (32% and 44.26%, respectively), whereas no significant differences were observed in terms of specificity and positive predictive value. In the subgroup analysis for Mycobacterium tuberculosis, the sensitivity of mNGS (90.91%) and T-spot (90.91%) was significantly higher than that of culture (0). Additionally, mNGS demonstrated markedly higher specificity (100%) compared to T-spot (85.07%). Conclusion This study underscores the substantial advantages of mNGS in terms of diagnostic accuracy and bacterial coverage for spinal infections. The findings provide compelling clinical evidence that supports the enhanced diagnostic efficacy of mNGS.
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Affiliation(s)
- Hanwen Cheng
- Department of Orthopaedics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, People’s Republic of China
| | - Haoyu Wu
- Department of Orthopaedics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, People’s Republic of China
| | - Ni Tan
- Cellular and Molecular Diagnostics Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong Province, People’s Republic of China
| | - Zhuojie Liu
- Department of Orthopaedics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, People’s Republic of China
| | - Ning Wang
- Department of Orthopaedics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, People’s Republic of China
| | - Ningyi Chen
- Department of Orthopaedics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, People’s Republic of China
| | - Chunhai Li
- Department of Orthopaedics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, People’s Republic of China
- Teaching and Research Bureau of Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, People’s Republic of China
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Shen D, Lin C, Hong X, Li J, Huang G. Diagnostic performance of plasma metagenomic next-generation sequencing for infected pancreatic necrosis: A prospective multicenter study. J Infect 2023; 87:e104-e106. [PMID: 38251472 DOI: 10.1016/j.jinf.2023.10.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 10/23/2023] [Indexed: 01/23/2024]
Affiliation(s)
- Dingcheng Shen
- Department of Pancreatic Surgery, General Surgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, China; Department of Hernia and Abdominal Wall Surgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Chiayen Lin
- Department of Pancreatic Surgery, General Surgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, China; Department of Hernia and Abdominal Wall Surgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Xiaoyue Hong
- Department of Pancreatic Surgery, General Surgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, China; Department of Hernia and Abdominal Wall Surgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Jiarong Li
- Department of Pancreatic Surgery, General Surgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, China; Department of Hernia and Abdominal Wall Surgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Gengwen Huang
- Department of Pancreatic Surgery, General Surgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, China; Department of Hernia and Abdominal Wall Surgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China.
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Wang Q, Song Y, Han D, Cai H, Yan Q, Liu W, Wang H, Zheng X, Ding L, Yuan X. The first suspected disseminated Hormographiella aspergillata infection in China, diagnosed using metagenomic next-generation sequencing: a case report and literature review. Emerg Microbes Infect 2023; 12:2220581. [PMID: 37254739 PMCID: PMC10259343 DOI: 10.1080/22221751.2023.2220581] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 05/22/2023] [Accepted: 05/29/2023] [Indexed: 06/01/2023]
Abstract
Hormographiella aspergillata is a rare and emerging cause of invasive mould infections in patients with haematological malignancies, with a mortality rate of approximately 70%. Here, we present the first reported case of suspected disseminated H. aspergillata infection in China. The patient experienced a second relapse of acute myeloid leukaemia and developed neutropenia, fever, discrepant blood pressure between limbs, and cutaneous lesions limited to the left upper extremity. Since lung tissue biopsy was not feasible, metagenomic next-generation sequencing (mNGS) and panfungal polymerase chain reaction (PCR) analysis of bronchoalveolar lavage fluid and blood samples were performed, which indicated probable H. aspergillata pulmonary infection. Histopathology of cutaneous lesions revealed numerous fungal hyphae within dermal blood vessels. mNGS of a skin biopsy sample identified H. aspergillata sequences, and the fungi was subsequently recovered from fungal culture, proving cutaneous H. aspergillata infection. Despite combined antifungal therapy, the patient died owing to disease progression. Additionally, 22 previously reported cases of invasive H. aspergillata infection were reviewed in patients with haematological malignancies. Thus, mNGS is a powerful diagnostic tool for the early and effective detection of invasive H. aspergillata infections, with the advantage of sequencing all potential pathogens, and providing results within 24 h.
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Affiliation(s)
- Qian Wang
- Department of Dermatology, Air Force Medical Center, Fourth Military Medical University, Beijing, People’s Republic of China
| | - Yinggai Song
- Department of Dermatology, Peking University First Hospital, Research Center for Medical Mycology, Peking University, Beijing, People’s Republic of China
| | - Dongmei Han
- Department of Haematology, Air Force Medical Center, Fourth Military Medical University, Beijing, People’s Republic of China
| | - Hong Cai
- Department of Dermatology, Air Force Medical Center, Fourth Military Medical University, Beijing, People’s Republic of China
| | - Qiuhong Yan
- Department of Dermatology, Air Force Medical Center, Fourth Military Medical University, Beijing, People’s Republic of China
| | - Wei Liu
- Department of Dermatology, Air Force Medical Center, Fourth Military Medical University, Beijing, People’s Republic of China
| | - Hengxiang Wang
- Department of Haematology, Air Force Medical Center, Fourth Military Medical University, Beijing, People’s Republic of China
| | - Xiaoli Zheng
- Department of Haematology, Air Force Medical Center, Fourth Military Medical University, Beijing, People’s Republic of China
| | - Li Ding
- Department of Haematology, Air Force Medical Center, Fourth Military Medical University, Beijing, People’s Republic of China
| | - Xiaoying Yuan
- Department of Dermatology, Air Force Medical Center, Fourth Military Medical University, Beijing, People’s Republic of China
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50
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Wang ZY, Li LL, Cao XL, Li P, Du J, Zou MJ, Wang LL. Clinical application of amplification-based versus amplification-free metagenomic next-generation sequencing test in infectious diseases. Front Cell Infect Microbiol 2023; 13:1138174. [PMID: 38094744 PMCID: PMC10716234 DOI: 10.3389/fcimb.2023.1138174] [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: 01/05/2023] [Accepted: 11/07/2023] [Indexed: 12/18/2023] Open
Abstract
Background Recently, metagenomic next-generation sequencing (mNGS) has been used in the diagnosis of infectious diseases (IDs) as an emerging and powerful tool. However, whether the complicated methodological variation in mNGS detections makes a difference in their clinical performance is still unknown. Here we conducted a method study on the clinical application of mNGS tests in the DNA detection of IDs. Methods We analyzed the effect of several potential factors in the whole process of mNGS for DNA detection on microorganism identification in 98 samples of suspected ID patients by amplification-based mNGS. The amplification-based and amplification-free mNGS tests were successfully performed in 41 samples. Then we compared the clinical application of the two mNGS methods in the DNA detection of IDs. Results We found that a higher concentration of extracted nucleic acid was more conducive to detecting microorganisms. Other potential factors, such as read depth and proportion of human reads, might not be attributed to microorganism identification. The concordance rate of amplification-based and amplification-free mNGS results was 80.5% (33/41) in the patients with suspected IDs. Amplification-based mNGS showed approximately 16.7% higher sensitivity than amplification-free mNGS. However, 4 cases with causative pathogens only detected by amplification-based mNGS were finally proved false-positive. In addition, empirical antibiotic treatments were adjusted in 18 patients following mNGS testing with unexpected pathogens. Conclusions Amplification-based and amplification-free mNGS tests showed their specific advantages and disadvantages in the diagnosis of IDs. The clinical application of mNGS still needs more exploration from a methodological perspective. With advanced technology and standardized procedure, mNGS will play a promising role in the diagnosis of IDs and help guide the use of antibiotics.
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Affiliation(s)
- Zhe-Ying Wang
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, Shandong, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, Jinan, Shandong, China
| | - Lu-Lu Li
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Xue-Lei Cao
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, Shandong, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, Jinan, Shandong, China
| | - Ping Li
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, Shandong, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, Jinan, Shandong, China
| | - Jian Du
- Department of Urology, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, China
| | - Ming-Jin Zou
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Li-Li Wang
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, Shandong, China
- Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, Jinan, Shandong, China
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