1
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Zhu Y, Xia B, Xu H, Liu Z, Wang R, Cai Q, Zhao P, Qi Z. Rapid detection of human adenovirus subgroup B using recombinase polymerase amplification assay. Virus Genes 2024; 60:18-24. [PMID: 38175387 DOI: 10.1007/s11262-023-02044-5] [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: 08/18/2023] [Accepted: 11/22/2023] [Indexed: 01/05/2024]
Abstract
Human adenovirus subgroup B (HAdV B) is one of the major pathogens of human respiratory virus infections, which has considerable transmission and morbidity in a variety of populations. Therefore, rapid and specific detection of HAdV B in clinical samples is essential for diagnosis. This study aimed to develop a product for rapid nucleic acid detection of HAdV B using recombinase polymerase amplification assay (RPA) and validate the performance of this method by using clinical samples. Results showed that this method achieved a lower limit of detection (LOD) of 10 copies/μL and had no cross-reactivity with other adenovirus subgroups or respiratory pathogens. In addition to high sensitivity, it can be completed within 30 min at 40 °C. There is no need to perform nucleic acid extraction on clinical samples. Taking qPCR as the gold standard, the RPA assay possessed a high concordance (Cohen's kappa, 0.896; 95% CI 0.808-0.984; P < 0.001), with a sensitivity of 87.80% and a specificity of 100.00%. The RPA assay developed in this study provided a simple and highly specific method, making it an important tool for rapid adenovirus nucleic acid detection and facilitating large-scale population screening in resource-limited settings.
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Affiliation(s)
- Yongzhe Zhu
- Department of Microbiology, Naval Medical University, No. 800, Xiangyin Road, Shanghai, 200433, China
| | - Binghui Xia
- Department of Microbiology, Naval Medical University, No. 800, Xiangyin Road, Shanghai, 200433, China
| | - Haizhou Xu
- Department of Emergency, Changhai Hospital, Naval Medical University, Shanghai, 200433, China
| | - Zengxin Liu
- Genoxor Medical Science and Technology Inc., Shanghai, 201112, China
| | - Ru Wang
- Genoxor Medical Science and Technology Inc., Shanghai, 201112, China
| | - Qingqing Cai
- Genoxor Medical Science and Technology Inc., Shanghai, 201112, China
| | - Ping Zhao
- Department of Microbiology, Naval Medical University, No. 800, Xiangyin Road, Shanghai, 200433, China.
| | - Zhongtian Qi
- Department of Microbiology, Naval Medical University, No. 800, Xiangyin Road, Shanghai, 200433, China.
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2
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Xiang J, Wan Q, Xie L. Detection of ctDNA SNPs by nested real-time Taqman qPCR: a simulation study. Hum Cell 2022; 35:2022-2025. [PMID: 36063292 DOI: 10.1007/s13577-022-00779-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 08/27/2022] [Indexed: 11/28/2022]
Affiliation(s)
- Junbei Xiang
- Sichuan Nursing Vocational College, Chengdu, 610000, Sichuan, People's Republic of China
| | - Qian Wan
- Chengdu Neo-Life Hope Medical Lab. Co. Ltd, Chengdu, 610036, Sichuan, People's Republic of China.
| | - Linfeng Xie
- Sichuan Nursing Vocational College, Chengdu, 610000, Sichuan, People's Republic of China
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3
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Development of Rapid and Visual Nucleic Acid Detection Methods towards Four Serotypes of Human Adenovirus Species B Based on RPA-LF Test. BIOMED RESEARCH INTERNATIONAL 2021; 2021:9957747. [PMID: 34646888 PMCID: PMC8505065 DOI: 10.1155/2021/9957747] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Accepted: 09/14/2021] [Indexed: 11/17/2022]
Abstract
Objectives Human adenoviruses (HAdV) are classified as 7 HAdV species, and some serotypes in species B like HAdV 3, HAdV 7, HAdV 21, and HAdV 55 caused severe symptoms, even fatalities. Patients may be misdiagnosed and inadequately treated without reliable and practical methods for HAdV serotyping. Developing rapid, sensitive, and specific diagnostic methods for HAdV is critical. Methods Detection methods were established based on a recombinase polymerase amplification (RPA) assay and lateral flow (LF) test. Specific target sequence was screened, targeting which, primers and probes were designed, synthesized, and screened for establishing assay with high amplification efficiency. Primer or probe concentrations and amplification time were optimized. Detection limit, sensitivity, and specificity were evaluated. Results and Conclusions. Simple, sensitive, and specific RPA-LF methods for detection of four serotypes of HAdV together or separately were established, which had detection limits of 10 to 280 copies/reaction comparable to real-time PCR without recognizing other pathogens. The sensitivity and specificity were >92% and >98%, respectively, evaluated by limited clinical samples. The detection can be completed in 25 min without requirement of any instrument except a constant temperature equipment, showing superior detection performance and promising for a wide use in the field and resource-limited area.
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4
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Zhao L, Li G, Wang J, Zhao M, Wang L, Feng Z, Ma X. Development and evaluation of a panel of multiplex one-tube nested real time PCR assay for simultaneous detection of 14 respiratory viruses in five reactions. J Med Virol 2020; 92:3073-3080. [PMID: 31981228 PMCID: PMC7228275 DOI: 10.1002/jmv.25686] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Accepted: 01/20/2020] [Indexed: 11/10/2022]
Abstract
Multiplex real-time quantitative polymerase chain reaction (mRT-qPCR) assay is commonly used to detect respiratory viruses, however, the sensitivity is limited for most reports. A panel of locked nucleic acid based multiplex closed one-tube nested real-time PCR (mOTNRT-PCR) assay consisting of five separate internally controlled RT-qPCR assays was developed for detection of 14 respiratory viruses. The sensitivity and reproducibility of mOTNRT-PCR panel were evaluated using plasmid standards and the specificity was evaluated using clinical samples. The clinical performance of mOTNRT-PCR panel was further evaluated with 468 samples collected from patients with an acute respiratory infection and compared with individual real-time PCR (RT-qPCR) assay. The analytical sensitivities of mOTNRT-PCR panel ranged from 2 to 20 copies/reaction, and no cross-reaction with common respiratory viruses was observed. The coefficients of variation of intra-assay and inter-assay were between 0.35% and 8.29%. Totally 35 clinical samples detected by mOTNRT-PCR assay panel were missed by RT-qPCR and confirmed true positive by sequencing of nested PCR products. The mOTNRT-PCR assay panel provides a more sensitive and high-throughput method for the detection of 14 respiratory viruses.
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Affiliation(s)
- Li Zhao
- Department of Blood TransfusionChildren's Hospital of Hebei ProvinceShijiazhuangHebeiChina
| | - Gui‐xia Li
- Institute of Pediatric ResearchChildren's Hospital of Hebei ProvinceShijiazhuangHebeiChina
| | - Ji Wang
- Key Laboratory for Medical Virology, National Health and Family Planning Commission, National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and PreventionBeijingChina
| | - Meng‐chuan Zhao
- Institute of Pediatric ResearchChildren's Hospital of Hebei ProvinceShijiazhuangHebeiChina
| | - Le Wang
- Institute of Pediatric ResearchChildren's Hospital of Hebei ProvinceShijiazhuangHebeiChina
| | - Zhi‐shan Feng
- Department of Laboratory MedicineHebei General HospitalShijiazhuangHebeiChina
| | - Xue‐jun Ma
- Key Laboratory for Medical Virology, National Health and Family Planning Commission, National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and PreventionBeijingChina
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5
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Wang HY, Song JK, Shin S, Choi KM, Kim H. One-Tube Nested Real-Time PCR Assay for Rapid Screening of Porcine Cytomegalovirus in Clinical Samples. Front Vet Sci 2020; 7:586045. [PMID: 33195614 PMCID: PMC7656657 DOI: 10.3389/fvets.2020.586045] [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: 07/22/2020] [Accepted: 09/30/2020] [Indexed: 11/16/2022] Open
Abstract
Porcine cytomegalovirus (PCMV) is a pathogen that must be removed from pigs for use as organ donors in xenotransplantation. Recently, it has been found that when donor pigs are infected with PCMV, a pig-to-non-human-primate xenotransplantation lower transplant survival by 2–3 times. Therefore, highly sensitive methods are needed to maintain designated pathogen free (DPF) pig and screen for xenografts. The purpose of this study was to evaluate the performance of commercially available method with one-tube nested real-time PCR assay to quickly detect PCMV infection in clinical samples and compare the results with those of sequence analysis. Molecular diagnostic methods were used to evaluate 127 samples, including tissues and blood samples from pigs suspected of PCMV infection. The detection rate for positive PCMV was 38.6% (n = 49), 23.6% (n = 30), and 12.6% (n = 16) in one-tube nested real-time PCR, nested PCR, and conventional PCR methods, respectively. All PCMV-positive samples in conventional PCR or nested PCR methods were also positive in the one-tube nested real-time PCR assay. All the PCR products in the three methods were checked for amplification of PCMV gene by PCR and subsequent direct sequencing. The results of one-tube nested real-time PCR were found to be consistent with those of sequence analysis for all the samples and showed good agreement (κ = 1). Our study found that the one-tube nested real-time PCR assay is more sensitive than the other two methods. This assay required approximately 1.5 h for completion. Therefore, we concluded that one-tube nested real-time PCR assay is a fast and reliable method for the characterizing pathogen responsible for PCMV infection.
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Affiliation(s)
| | - Joong Ki Song
- Optipharm Animal Disease Diagnostic Center, Cheongju, South Korea
| | - Seongho Shin
- Optipharm Animal Disease Diagnostic Center, Cheongju, South Korea
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6
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Wang J, Cai K, Zhang R, He X, Shen X, Liu J, Xu J, Qiu F, Lei W, Wang J, Li X, Gao Y, Jiang Y, Xu W, Ma X. Novel One-Step Single-Tube Nested Quantitative Real-Time PCR Assay for Highly Sensitive Detection of SARS-CoV-2. Anal Chem 2020; 92:9399-9404. [PMID: 32438806 PMCID: PMC7299395 DOI: 10.1021/acs.analchem.0c01884] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Accepted: 05/22/2020] [Indexed: 12/20/2022]
Abstract
Coronavirus disease 2019 (COVID-19) has become a public health emergency. The reverse transcriptase real-time quantitative PCR (qRT-PCR) test is currently considered as the gold standard in the laboratory for the etiological detection of COVID-19. However, qRT-PCR results could be false-negative due to the inadequate sensitivity of qRT-PCR. In this study, we have developed and evaluated a novel one-step single-tube nested quantitative real-time PCR (OSN-qRT-PCR) assay for the highly sensitive detection of SARS-CoV-2 targeting the ORF1ab and N genes. The sensitivity of the OSN-qRT-PCR assay was 1 copy/reaction and 10-fold higher than that of the commercial qRT-PCR kit (10 copies/reaction). The clinical performance of the OSN-qRT-PCR assay was evaluated using 181 clinical samples. Among them, 14 qRT-PCR-negative samples (7 had no repetitive results and 7 had no cycle threshold (CT) values) were detected by OSN-qRT-PCR. Moreover, the 7 qRT-PCR-positives in the qRT-PCR gray zone (CT values of ORF1ab ranged from 37.48 to 39.07, and CT values of N ranged from 37.34 to 38.75) were out of the gray zone and thus were deemed to be positive by OSN-qRT-PCR, indicating that the positivity of these samples is confirmative. Compared to the qRT-PCR kit, the OSN-qRT-PCR assay revealed higher sensitivity and specificity, showing better suitability to clinical applications for the detection of SARS-CoV-2 in patients with low viral load.
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Affiliation(s)
- Ji Wang
- National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease
Control and Prevention, Beijing 102206,
China
| | - Kun Cai
- Hubei Center for Disease
Control and Prevention, Wuhan 430000,
China
| | - Ruiqing Zhang
- National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease
Control and Prevention, Beijing 102206,
China
- Hebei General
Hospital, Shijiazhuang 050051,
China
| | - Xiaozhou He
- National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease
Control and Prevention, Beijing 102206,
China
| | - Xinxin Shen
- National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease
Control and Prevention, Beijing 102206,
China
| | - Jun Liu
- National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease
Control and Prevention, Beijing 102206,
China
| | - Junqiang Xu
- Hubei Center for Disease
Control and Prevention, Wuhan 430000,
China
| | - Feng Qiu
- National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease
Control and Prevention, Beijing 102206,
China
| | - Wenwen Lei
- National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease
Control and Prevention, Beijing 102206,
China
| | - Jinrong Wang
- National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease
Control and Prevention, Beijing 102206,
China
- Hebei Medical
University, Shijiazhuang 050031,
China
| | - Xinna Li
- National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease
Control and Prevention, Beijing 102206,
China
| | - Yuan Gao
- National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease
Control and Prevention, Beijing 102206,
China
- Hebei Medical
University, Shijiazhuang 050031,
China
| | - Yongzhong Jiang
- Hubei Center for Disease
Control and Prevention, Wuhan 430000,
China
| | - Wenbo Xu
- National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease
Control and Prevention, Beijing 102206,
China
| | - Xuejun Ma
- National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease
Control and Prevention, Beijing 102206,
China
- Center for Biosafety Mega-Science,
Chinese Academy of Sciences, Wuhan
430071, China
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Zhang N, Wang L, Deng X, Liang R, Su M, He C, Hu L, Su Y, Ren J, Yu F, Du L, Jiang S. Recent advances in the detection of respiratory virus infection in humans. J Med Virol 2020; 92:408-417. [PMID: 31944312 DOI: 10.1002/jmv.v92.410.1002/jmv.25674] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 01/12/2020] [Indexed: 05/24/2023]
Abstract
Respiratory tract viral infection caused by viruses or bacteria is one of the most common diseases in human worldwide, while those caused by emerging viruses, such as the novel coronavirus, 2019-nCoV that caused the pneumonia outbreak in Wuhan, China most recently, have posed great threats to global public health. Identification of the causative viral pathogens of respiratory tract viral infections is important to select an appropriate treatment, save people's lives, stop the epidemics, and avoid unnecessary use of antibiotics. Conventional diagnostic tests, such as the assays for rapid detection of antiviral antibodies or viral antigens, are widely used in many clinical laboratories. With the development of modern technologies, new diagnostic strategies, including multiplex nucleic acid amplification and microarray-based assays, are emerging. This review summarizes currently available and novel emerging diagnostic methods for the detection of common respiratory viruses, such as influenza virus, human respiratory syncytial virus, coronavirus, human adenovirus, and human rhinovirus. Multiplex assays for simultaneous detection of multiple respiratory viruses are also described. It is anticipated that such data will assist researchers and clinicians to develop appropriate diagnostic strategies for timely and effective detection of respiratory virus infections.
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Affiliation(s)
- Naru Zhang
- Department of Clinical Medicine, School of Medicine, Zhejiang University City College, Hangzhou, China
| | - Lili Wang
- State Key Laboratory of North China Crop Improvement and Regulation, Research Center of Chinese Jujube, Hebei Agricultural University, Baoding, China
| | - Xiaoqian Deng
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Ruiying Liang
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Meng Su
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Chen He
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Lanfang Hu
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Yudan Su
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Jing Ren
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Fei Yu
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Lanying Du
- Lindsley F. Kimball Research Institute, New York Blood Center, New York, New York
| | - Shibo Jiang
- Lindsley F. Kimball Research Institute, New York Blood Center, New York, New York
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
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8
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Zhang RQ, Li Z, Li GX, Tie YQ, Li XN, Gao Y, Duan QX, Wang L, Zhao L, Fan GH, Bai XD, Wang RH, Chen ZW, Wang JR, Wu Y, Zhao MC, Feng ZS, Wang J, Ma XJ. A highly sensitive one-tube nested quantitative real-time PCR assay for specific detection of Bordetella pertussis using the LNA technique. Int J Infect Dis 2020; 93:224-230. [PMID: 32045697 DOI: 10.1016/j.ijid.2020.01.053] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Revised: 01/24/2020] [Accepted: 01/28/2020] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVES Bordetella pertussis is a highly contagious respiratory agent and is the causative pathogen of pertussis, which primarily affects children. Current diagnostic techniques for this pathogen have a variety of limitations including a long culture time, low bacterial load, and lack of specificity. METHODS This article reports the development of a one-tube nested quantitative real-time PCR assay using the locked nucleic acid (LNA) technique (LNA-OTN-q-PCR), targeting the BP485 gene and using a simple inexpensive extraction method. A total of 130 clinical samples from patients with clinically suspected pertussis, collected from the Children's Hospital of Hebei, China, were tested by LNA-OTN-q-PCR assay. RT-PCR and two-step semi-nested PCR assays were performed in parallel for comparison. RESULTS Only strains of B. pertussis were identified as positive, whereas all of the remaining strains were appropriately identified as negative by the LNA-OTN-q-PCR assay. A single copy per reaction can be detected by the LNA-OTN-q-PCR assay. Additionally, the sensitivity of this method was 100 times that of the RT-PCR assay (100 copies per reaction). Sixty-three of the 130 clinical samples were detected positive by LNA-OTN-q-PCR assay; in contrast, RT-PCR was able to detect only 41 positive samples. Following this, all 63 samples were positively identified by two-step semi-nested PCR. Compared with the two-step semi-nested PCR assay, both the specificity and sensitivity of the LNA-OTN-q-PCR assay using purified DNA and crude extract were 100%. CONCLUSIONS This assay was able to detect B. pertussis infection with high sensitivity and specificity. This test shows great potential as a promising technique to detect B. pertussis in both clinical laboratories and public health settings.
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Affiliation(s)
- Rui-Qing Zhang
- Hebei Medical University, Shijiazhuang, 050031, Hebei, China; NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Street, Changping District, Beijing 102206, China; Hebei General Hospital, Shijiazhuang, 050051, Hebei, China.
| | - Zheng Li
- Hebei General Hospital, Shijiazhuang, 050051, Hebei, China.
| | - Gui-Xia Li
- Children's Hospital of Hebei Province, Shijiazhuang, 050031, Hebei, China.
| | - Yan-Qing Tie
- Hebei General Hospital, Shijiazhuang, 050051, Hebei, China.
| | - Xin-Na Li
- NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Street, Changping District, Beijing 102206, China.
| | - Yuan Gao
- Hebei Medical University, Shijiazhuang, 050031, Hebei, China; NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Street, Changping District, Beijing 102206, China.
| | - Qing-Xia Duan
- Hebei Medical University, Shijiazhuang, 050031, Hebei, China; NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Street, Changping District, Beijing 102206, China.
| | - Le Wang
- Children's Hospital of Hebei Province, Shijiazhuang, 050031, Hebei, China.
| | - Li Zhao
- Children's Hospital of Hebei Province, Shijiazhuang, 050031, Hebei, China.
| | - Guo-Hao Fan
- NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Street, Changping District, Beijing 102206, China.
| | - Xue-Ding Bai
- Tangshan Gongren Hospital, Tangshan, 063000, China.
| | - Rui-Huan Wang
- Hunan Provincial Center for Disease Control and Prevention, Hunan, 410005, China.
| | - Zi-Wei Chen
- The Third Xiangya Hospital of Central South University, Hunan, 410013, China.
| | - Jin-Rong Wang
- Hebei Medical University, Shijiazhuang, 050031, Hebei, China; NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Street, Changping District, Beijing 102206, China.
| | - Yong Wu
- Health Gene Technologies, Ningbo, 315040, China.
| | - Meng-Chuan Zhao
- Children's Hospital of Hebei Province, Shijiazhuang, 050031, Hebei, China.
| | - Zhi-Shan Feng
- Hebei Medical University, Shijiazhuang, 050031, Hebei, China; Hebei General Hospital, Shijiazhuang, 050051, Hebei, China.
| | - Ji Wang
- NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Street, Changping District, Beijing 102206, China.
| | - Xue-Jun Ma
- NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Street, Changping District, Beijing 102206, China.
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9
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Zhang N, Wang L, Deng X, Liang R, Su M, He C, Hu L, Su Y, Ren J, Yu F, Du L, Jiang S. Recent advances in the detection of respiratory virus infection in humans. J Med Virol 2020; 92:408-417. [PMID: 31944312 PMCID: PMC7166954 DOI: 10.1002/jmv.25674] [Citation(s) in RCA: 284] [Impact Index Per Article: 71.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 01/12/2020] [Indexed: 12/20/2022]
Abstract
Respiratory tract viral infection caused by viruses or bacteria is one of the most common diseases in human worldwide, while those caused by emerging viruses, such as the novel coronavirus, 2019‐nCoV that caused the pneumonia outbreak in Wuhan, China most recently, have posed great threats to global public health. Identification of the causative viral pathogens of respiratory tract viral infections is important to select an appropriate treatment, save people's lives, stop the epidemics, and avoid unnecessary use of antibiotics. Conventional diagnostic tests, such as the assays for rapid detection of antiviral antibodies or viral antigens, are widely used in many clinical laboratories. With the development of modern technologies, new diagnostic strategies, including multiplex nucleic acid amplification and microarray‐based assays, are emerging. This review summarizes currently available and novel emerging diagnostic methods for the detection of common respiratory viruses, such as influenza virus, human respiratory syncytial virus, coronavirus, human adenovirus, and human rhinovirus. Multiplex assays for simultaneous detection of multiple respiratory viruses are also described. It is anticipated that such data will assist researchers and clinicians to develop appropriate diagnostic strategies for timely and effective detection of respiratory virus infections. Respiratory tract viral infection including 2019‐nCoV poses great threats worldwide. Currently available and novel emerging diagnostic methods are summarized for several common respiratory viruses, including influenza virus, human respiratory syncytial virus, coronavirus, human adenovirus and human rhinovirus. Multiplex assays for simultaneous detection of multiple respiratory viruses are also described. This review is aimed to assist researchers and clinicians to develop timely and effective diagnostic strategies to detect respiratory virus infections.
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Affiliation(s)
- Naru Zhang
- Department of Clinical Medicine, School of Medicine, Zhejiang University City College, Hangzhou, China
| | - Lili Wang
- State Key Laboratory of North China Crop Improvement and Regulation, Research Center of Chinese Jujube, Hebei Agricultural University, Baoding, China
| | - Xiaoqian Deng
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Ruiying Liang
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Meng Su
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Chen He
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Lanfang Hu
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Yudan Su
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Jing Ren
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Fei Yu
- State Key Laboratory of North China Crop Improvement and Regulation, College of Life and Science, Hebei Agricultural University, Baoding, China
| | - Lanying Du
- Lindsley F. Kimball Research Institute, New York Blood Center, New York, New York
| | - Shibo Jiang
- Lindsley F. Kimball Research Institute, New York Blood Center, New York, New York.,Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
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10
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Wang RH, Zhang H, Zhang Y, Li XN, Shen XX, Qi JJ, Fan GH, Xiang XY, Zhan ZF, Chen ZW, Ma XJ. Development and evaluation of recombinase-aided amplification assays incorporating competitive internal controls for detection of human adenovirus serotypes 3 and 7. Virol J 2019; 16:86. [PMID: 31262315 PMCID: PMC6604330 DOI: 10.1186/s12985-019-1178-9] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Accepted: 05/14/2019] [Indexed: 12/20/2022] Open
Abstract
Background Human adenoviruses are a common group of viruses that cause acute infectious diseases. Human adenovirus (HAdV) 3 and HAdV 7 cause major outbreaks of severe pneumonia. A reliable and practical method for HAdV typing in clinical laboratories is lacking. A simple, rapid and accurate molecular typing method for HAdV may facilitate clinical diagnosis and epidemiological control. Methods We developed and evaluated duplex real-time recombinase-aided amplification (RAA) assays incorporating competitive internal controls for detection of HAdV 3 and HAdV 7, respectively. The assays were performed in a one-step in a single tube reaction at 39° for 20 min. Results The analytical sensitivities of the duplex RAA assays for HAdV 3 and HAdV 7 were 5.0 and 14.8 copies per reaction, respectively (at 95% probability by probit regression analysis). No cross-reaction was observed with other types of HAdV or other common respiratory viruses. The duplex RAA assays were used to detect 152 previously-defined HAdV-positive samples. These results agreed with those obtained using a published triplex quantitative real-time PCR protocol. Conclusions We provide the first report of internally-controlled duplex RAA assays for the detection of HAdV 3 and HAdV 7. These assays effectively reduce the rate of false negative results and may be valuable for detection of HAdV 3 and HAdV 7 in clinical laboratories, especially in resource-poor settings.
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Affiliation(s)
- Rui-Huan Wang
- University of South China, College of Public Health, No. 28, West Changsheng Street, Hengyang, 421001, Hunan, China.,Hunan Provincial Center for Disease Control and Prevention, No. 450, Furong Street, Changsha, 410005, Hunan, China.,NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Street, Changping District, Beijing, 102206, China
| | - Hong Zhang
- University of South China, College of Public Health, No. 28, West Changsheng Street, Hengyang, 421001, Hunan, China. .,Hunan Provincial Center for Disease Control and Prevention, No. 450, Furong Street, Changsha, 410005, Hunan, China.
| | - Yi Zhang
- NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Street, Changping District, Beijing, 102206, China
| | - Xin-Na Li
- NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Street, Changping District, Beijing, 102206, China
| | - Xin-Xin Shen
- NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Street, Changping District, Beijing, 102206, China
| | - Ju-Ju Qi
- NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Street, Changping District, Beijing, 102206, China
| | - Guo-Hao Fan
- NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Street, Changping District, Beijing, 102206, China
| | - Xing-Yu Xiang
- Hunan Provincial Center for Disease Control and Prevention, No. 450, Furong Street, Changsha, 410005, Hunan, China
| | - Zhi-Fei Zhan
- Hunan Provincial Center for Disease Control and Prevention, No. 450, Furong Street, Changsha, 410005, Hunan, China
| | - Zi-Wei Chen
- The Third Xiangya Hospital of Central South University, 138 Tongzipo Road, Yuelu District, Changsha City, 410013, Hunan Province, China
| | - Xue-Jun Ma
- NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Street, Changping District, Beijing, 102206, China.
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