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Watson A, Shah P, Lee D, Liang S, Joshi G, Metitiri E, Chowdhury WH, Bacich D, Dube P, Xiang Y, Hanley D, Martinez-Sobrido L, Rodriguez R. Valproic acid use is associated with diminished risk of contracting COVID-19, and diminished disease severity: Epidemiologic and in vitro analysis reveal mechanistic insights. PLoS One 2024; 19:e0307154. [PMID: 39093886 PMCID: PMC11296636 DOI: 10.1371/journal.pone.0307154] [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: 03/14/2024] [Accepted: 07/02/2024] [Indexed: 08/04/2024] Open
Abstract
The SARS-CoV-2 pandemic has caused unprecedented worldwide infections from persistent mutant variants with various degrees of infectivity and virulence. The elusiveness of a highly penetrant, worldwide vaccination strategy suggests that the complete eradication of SARS-CoV-2 is unlikely. Even with the advent of new antiviral agents, the disease burden worldwide continues to exceed current preventative and therapeutic strategies. Greater interest has been placed towards the development of affordable,broadly effective antiviral therapeutics. Here, we report that the small branched-chain fatty acid Valproic acid (VPA), approved for maintenance of seizure and bipolar disorder, has a novel anti- coronavirus activity that can be augmented with the addition of a long-chain, polyunsaturated omega-3 fatty acid, Docosahexaenoic acid (DHA). An EMR-based epidemiological study of patients tested for COVID-19 demonstrated a correlation exists between a reduced infection rate in patients treated withVPA of up to 25%, as well as a decreased risk of emergency room visits, hospitalization, ICU admission,and use of mechanical ventilation. In vitro studies have demonstrated that VPA modifies gene expression in MRC5 cells. Interestingly, VPA correlates with the inhibition of several SARS-CoV2 interacting genes and the greater inhibition of alpha-coronavirus HCoV-229E (a "common cold" virus) and SARS-CoV2. The VPA-DHA combination activates pre-existing intracellular antiviral mechanisms normally repressed by coronaviruses. Gene expression profiles demonstrate subtle differences in overall gene expression between VPA-treated and VPA-DHA-treated cells. HCoV-229E infection caused an intensely different response with a marked induction of multiple intracellular inflammatory genes. Changes in gene expression took at least 24 hours to manifest and most likely why prior drug screens failed to identify any antiviral VPA activity despite in silico predictions. This report demonstrates an interaction between HDAC inhibition and the potent activation of cellular antiviral responses. A foundation now exists for a low-cost, highly effective antiviral strategy when supplemented with DHA.
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Affiliation(s)
- Amanda Watson
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonio, Texas, United States of America
| | - Pankil Shah
- Department of Urology, University of Texas Health Science Center San Antonio, San Antonio, Texas, United States of America
| | - Doug Lee
- Department of Urology, University of Texas Health Science Center San Antonio, San Antonio, Texas, United States of America
| | - Sitai Liang
- Department of Urology, University of Texas Health Science Center San Antonio, San Antonio, Texas, United States of America
| | - Geeta Joshi
- Department of Urology, University of Texas Health Science Center San Antonio, San Antonio, Texas, United States of America
| | - Ediri Metitiri
- Department of Urology, University of Texas Health Science Center San Antonio, San Antonio, Texas, United States of America
| | - Wasim H. Chowdhury
- Department of Urology, University of Texas Health Science Center San Antonio, San Antonio, Texas, United States of America
| | - Dean Bacich
- Department of Urology, University of Texas Health Science Center San Antonio, San Antonio, Texas, United States of America
| | - Peter Dube
- Boehringer Ingelheim in Ames, Ames, Iowa, United States of America
| | - Yan Xiang
- Department of Microbiology, Immunology and Molecular Genetics, University of Texas Health Science Center San Antonio San Antonio, Texas, United States of America
| | - Daniel Hanley
- Department of Neurology & Neurosurgery, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
| | | | - Ronald Rodriguez
- Department of Medical Education, and Department of Urology, University of Texas Health Science Center San Antonio, San Antonio, Texas, United States of America
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Wang D, Chen Y, Xiang S, Hu H, Zhan Y, Yu Y, Zhang J, Wu P, Liu FY, Kai T, Ding P. Recent advances in immunoassay technologies for the detection of human coronavirus infections. Front Cell Infect Microbiol 2023; 12:1040248. [PMID: 36683684 PMCID: PMC9845787 DOI: 10.3389/fcimb.2022.1040248] [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: 09/09/2022] [Accepted: 11/30/2022] [Indexed: 01/05/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the seventh coronavirus (CoV) that has spread in humans and has become a global pandemic since late 2019. Efficient and accurate laboratory diagnostic methods are one of the crucial means to control the development of the current pandemic and to prevent potential future outbreaks. Although real-time reverse transcription-polymerase chain reaction (rRT-PCR) is the preferred laboratory method recommended by the World Health Organization (WHO) for diagnosing and screening SARS-CoV-2 infection, the versatile immunoassays still play an important role for pandemic control. They can be used not only as supplemental tools to identify cases missed by rRT-PCR, but also for first-line screening tests in areas with limited medical resources. Moreover, they are also indispensable tools for retrospective epidemiological surveys and the evaluation of the effectiveness of vaccination. In this review, we summarize the mainstream immunoassay methods for human coronaviruses (HCoVs) and address their benefits, limitations, and applications. Then, technical strategies based on bioinformatics and advanced biosensors were proposed to improve the performance of these methods. Finally, future suggestions and possibilities that can lead to higher sensitivity and specificity are provided for further research.
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Affiliation(s)
- Danqi Wang
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
| | - Yuejun Chen
- Breast Surgery Department I, Hunan Cancer Hospital, Changsha, Hunan, China
| | - Shan Xiang
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
| | - Huiting Hu
- Breast Surgery Department I, Hunan Cancer Hospital, Changsha, Hunan, China
| | - Yujuan Zhan
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
| | - Ying Yu
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
| | - Jingwen Zhang
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
| | - Pian Wu
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
| | - Fei Yue Liu
- Department of Economics and Management, ChangSha University, Changsha, Hunan, China
| | - Tianhan Kai
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
| | - Ping Ding
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
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Brüssow H, Brüssow L. Clinical evidence that the pandemic from 1889 to 1891 commonly called the Russian flu might have been an earlier coronavirus pandemic. Microb Biotechnol 2021; 14:1860-1870. [PMID: 34254725 PMCID: PMC8441924 DOI: 10.1111/1751-7915.13889] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 06/27/2021] [Indexed: 01/10/2023] Open
Abstract
Contemporary medical reports from Britain and Germany on patients suffering from a pandemic infection between 1889 and 1891, which was historically referred to as the Russian flu, share a number of characteristics with COVID-19. Most notable are aspects of multisystem affections comprising respiratory, gastrointestinal and neurological symptoms including loss of taste and smell perception; a protracted recovery resembling long covid and pathology observations of thrombosis in multiple organs, inflammation and rheumatic affections. As in COVID-19 and unlike in influenza, mortality was seen in elderly subjects while children were only weakly affected. Contemporary reports noted trans-species infection between pet animals or horses and humans, which would concur with a cross-infection by a broad host range bovine coronavirus dated by molecular clock arguments to an about 1890 cross-species infection event.
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Affiliation(s)
- Harald Brüssow
- Department of BiosystemsLaboratory of Gene TechnologyKU LeuvenLeuvenBelgium
| | - Lutz Brüssow
- Internal Medicine, Angiology and Gastroenterology SpecialistNeussGermany
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Liang FY, Lin LC, Ying TH, Yao CW, Tang TK, Chen YW, Hou MH. Immunoreactivity characterisation of the three structural regions of the human coronavirus OC43 nucleocapsid protein by Western blot: implications for the diagnosis of coronavirus infection. J Virol Methods 2012; 187:413-20. [PMID: 23174159 PMCID: PMC7112824 DOI: 10.1016/j.jviromet.2012.11.009] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2011] [Revised: 10/15/2012] [Accepted: 11/08/2012] [Indexed: 01/25/2023]
Abstract
Previous studies have reported that a prokaryotic-expressed recombinant nucleocapsid protein (NP) is a suitable reagent for the epidemiological screening of coronavirus infection. In this study, soluble recombinant human coronavirus OC43 (HCoV-OC43) NP was produced to examine the antigenicity of the HCoV-OC43 NP of betacoronavirus. Using the purified recombinant NP as an antigen, a polyclonal antibody from rabbit serum with specificity for HCoV-OC43 NP was generated; this antibody reacts specifically with HCoV-OC43 NP and does not cross-react with other human CoV NPs (including those of SARS-CoV and HCoV-229E) by Western blot. Sera from 26 young adults, 17 middle-aged and elderly patients with respiratory infection, and 15 cord blood samples were also tested. Strong reactivity to the NPs of HCoV-OC43 was observed in 96%, 82%, and 93% of the serum samples from the young adults, respiratory patients, and cord blood samples, respectively. To identify the immunoreactivities of the three structural regions of the NP that are recognised by the rabbit polyclonal antibody and human serum, the antigenicities of three protein fragments, including the N-terminal domain (aa 1-173), the central-linker region (aa 174-300), and the C-terminal domain (aa 301-448), were evaluated by Western blot. The rabbit polyclonal antibody demonstrated greater immunoreactivity to the central-linker region and the C-terminal domain than to the N-terminal domain. Three different patterns for the immunoreactivities of the three structural regions of HCoV-OC43 NP were observed in human serum, suggesting variability in the immune responses that occur during HCoV-OC43 infection in humans. The central-linker region of the NP appeared to be the most highly immunoreactive region for all three patterns observed. The goal of this study was to offer insight into the design of diagnostic tools for HCoV infection.
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Affiliation(s)
- Fang-Ying Liang
- Biotechnology Center, National Chung Hsing University, Taichung, Taiwan
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Chen IJ, Chou CC, Liu CL, Lee CC, Kan LS, Hou MH. Crystallization and preliminary X-ray diffraction analysis of the N-terminal domain of human coronavirus OC43 nucleocapsid protein. Acta Crystallogr Sect F Struct Biol Cryst Commun 2010; 66:815-8. [PMID: 20606281 PMCID: PMC2898469 DOI: 10.1107/s1744309110017616] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2010] [Accepted: 05/13/2010] [Indexed: 11/25/2022]
Abstract
The N-terminal domain of nucleocapsid protein from human coronavirus OC43 (HCoV-OC43 N-NTD) mostly contains positively charged residues and has been identified as being responsible for RNA binding during ribonucleocapsid formation in the coronavirus. In this study, the crystallization and preliminary crystallographic analysis of HCoV-OC43 N-NTD (amino acids 58-195) with a molecular weight of 20 kDa are reported. HCoV-OC43 N-NTD was crystallized at 293 K using PEG 1500 as a precipitant and a 99.9% complete native data set was collected to 1.7 A resolution at 100 K with an overall R(merge) of 5.0%. The crystals belonged to the hexagonal space group P6(5), with unit-cell parameters a = 81.57, c = 42.87 A. Solvent-content calculations suggest that there is likely to be one subunit of N-NTD in the asymmetric unit.
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Affiliation(s)
- I-Jung Chen
- Department of Life Sciences, National Chung Hsing University, Taichung 402, Taiwan
| | - Chia-Cheng Chou
- National Synchrotron Radiation Research Center, Hsinchu 300, Taiwan
| | - Chia-Ling Liu
- Department of Life Sciences, National Chung Hsing University, Taichung 402, Taiwan
| | - Cheng-Chung Lee
- Institute of Biological Chemistry, Academia Sinica, Taipei 115, Taiwan
| | - Lou-Sing Kan
- Institute of Bioengineering, Tatung University, Taipei 104, Taiwan
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan
| | - Ming-Hon Hou
- Department of Life Sciences, National Chung Hsing University, Taichung 402, Taiwan
- Institute of Genomics and Bioinformatics, National Chung Hsing University, Taichung 402, Taiwan
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Abstract
BACKGROUND The epidemiology of human coronaviruses (HCoVs) has not been established using reverse transcription polymerase chain reaction techniques in a specimen collection that spans decades. METHODS We used real-time RT-PCR for 3 HCoVs, HCoV 229E, OC43, and NL63, to test nasal wash specimens that had been obtained from a cohort of children <5 years of age with upper or lower respiratory infection (URI, LRI) who were comprehensively followed during the period from 1977 to 2001. Prospectively collected clinical data and archival samples were analyzed. RESULTS HCoV was detected in 92/1854 (5.0%) of available samples with no known viral etiology of which 9% were 229E, 59% OC43, and 33% NL63. This represented 10/119 (8.4%) of LRI samples and 82/1735 (4.7%) of URI samples. HCoV was not detected every year, but occurred episodically. The recently described HCoV-NL63 was detected as early as 1981. HCoV was associated with 11.4 LRI episodes/1000 child-years <5 years of age (all in children <2 years of age) and 67.3 URI episodes/1000 child-years <5 years of age. CONCLUSIONS HCoV-NL63 and OC43 are associated with a significant proportion of LRI in children less than 2 years of age and a substantial number of medically attended URI episodes.
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Shao X, Guo X, Esper F, Weibel C, Kahn JS. Seroepidemiology of group I human coronaviruses in children. J Clin Virol 2007; 40:207-13. [PMID: 17889596 PMCID: PMC2100388 DOI: 10.1016/j.jcv.2007.08.007] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2006] [Revised: 08/01/2007] [Accepted: 08/14/2007] [Indexed: 12/16/2022]
Abstract
BACKGROUND Recently, several new human coronaviruses have been identified. OBJECTIVES To define the seroepidemiology of group I human coronaviruses. STUDY DESIGN A recombinant protein enzyme linked immunosorbent assay (ELISA) based on portions of the nucleocapsid protein of group I human coronaviruses was developed and was used to screen serum from 243 children and young adults. RESULTS For HCoV-229E, the percentages of seropositive individuals were 57.1% for infants <2 months old; 38.9% for infants 2-3 months old; 4.7% for infants 4-5 months old; 42.9-50.0% for infants 6-12 months old; 34.8-62.5% for individuals 1-20 years old. For HCoV-NL63, the percentages of seropositive individuals were 45.2% for infants <2 months old; 11.1% for infants 2-3 months old; 4.7% for infants 4-5 months old; 28.6-40.0% for infants 6-12 months old; 25.0-70.3% for individuals 1-20 years old. CONCLUSIONS Infection with these viruses is common in childhood though the prevalence of these viruses may vary from year to year.
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Affiliation(s)
- Xiuping Shao
- Department of Pediatrics, Division of Infectious Diseases, Yale University School of Medicine, New Haven, CT 06520, United States
| | - Xiaojie Guo
- Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, CT 06520, United States
| | - Frank Esper
- Department of Pediatrics, Division of Infectious Diseases, Yale University School of Medicine, New Haven, CT 06520, United States
| | - Carla Weibel
- Department of Pediatrics, Division of Infectious Diseases, Yale University School of Medicine, New Haven, CT 06520, United States
| | - Jeffrey S. Kahn
- Department of Pediatrics, Division of Infectious Diseases, Yale University School of Medicine, New Haven, CT 06520, United States
- Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, CT 06520, United States
- Corresponding author at: Department of Pediatrics, Division of Infectious Diseases, Yale University School of Medicine, PO Box 208064, New Haven, CT 06520-8064, United States. Tel.: +1 203 785 6778; fax: +1 203 785 6961.
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8
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Zhu H, Hu S, Jona G, Zhu X, Kreiswirth N, Willey BM, Mazzulli T, Liu G, Song Q, Chen P, Cameron M, Tyler A, Wang J, Wen J, Chen W, Compton S, Snyder M. Severe acute respiratory syndrome diagnostics using a coronavirus protein microarray. Proc Natl Acad Sci U S A 2006; 103:4011-6. [PMID: 16537477 PMCID: PMC1449637 DOI: 10.1073/pnas.0510921103] [Citation(s) in RCA: 100] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
To monitor severe acute respiratory syndrome (SARS) infection, a coronavirus protein microarray that harbors proteins from SARS coronavirus (SARS-CoV) and five additional coronaviruses was constructed. These microarrays were used to screen approximately 400 Canadian sera from the SARS outbreak, including samples from confirmed SARS-CoV cases, respiratory illness patients, and healthcare professionals. A computer algorithm that uses multiple classifiers to predict samples from SARS patients was developed and used to predict 206 sera from Chinese fever patients. The test assigned patients into two distinct groups: those with antibodies to SARS-CoV and those without. The microarray also identified patients with sera reactive against other coronavirus proteins. Our results correlated well with an indirect immunofluorescence test and demonstrated that viral infection can be monitored for many months after infection. We show that protein microarrays can serve as a rapid, sensitive, and simple tool for large-scale identification of viral-specific antibodies in sera.
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Affiliation(s)
- Heng Zhu
- Departments of *Molecular, Cellular, and Developmental Biology and
- Biochip Platform Division, Beijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300, China
| | - Shaohui Hu
- Biochip Platform Division, Beijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300, China
| | - Ghil Jona
- Departments of *Molecular, Cellular, and Developmental Biology and
| | - Xiaowei Zhu
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520
| | - Nate Kreiswirth
- Department of Microbiology, Mount Sinai Hospital, Toronto, ON, Canada M5G 1X5; and
| | - Barbara M. Willey
- Department of Microbiology, Mount Sinai Hospital, Toronto, ON, Canada M5G 1X5; and
| | - Tony Mazzulli
- Department of Microbiology, Mount Sinai Hospital, Toronto, ON, Canada M5G 1X5; and
| | - Guozhen Liu
- Biochip Platform Division, Beijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300, China
- **College of Life Sciences, Agricultural University of Hebei, Hebei, Baoding 071001, China
| | - Qifeng Song
- Biochip Platform Division, Beijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300, China
| | - Peng Chen
- Biochip Platform Division, Beijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300, China
| | - Mark Cameron
- Department of Microbiology, Mount Sinai Hospital, Toronto, ON, Canada M5G 1X5; and
| | - Andrea Tyler
- Department of Microbiology, Mount Sinai Hospital, Toronto, ON, Canada M5G 1X5; and
| | - Jian Wang
- Biochip Platform Division, Beijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300, China
| | - Jie Wen
- Biochip Platform Division, Beijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300, China
| | - Weijun Chen
- Biochip Platform Division, Beijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300, China
| | | | - Michael Snyder
- Departments of *Molecular, Cellular, and Developmental Biology and
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520
- To whom correspondence should be addressed. E-mail:
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Gao L, Ding YS, Dai H, Shao SH, Huang ZD, Chou KC. A novel fingerprint map for detecting SARS-CoV. J Pharm Biomed Anal 2005; 41:246-50. [PMID: 16289934 PMCID: PMC7127393 DOI: 10.1016/j.jpba.2005.09.031] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2005] [Revised: 09/20/2005] [Accepted: 09/24/2005] [Indexed: 01/15/2023]
Abstract
Spike (S) protein is the most important membrane protein on the surface of severe acute respiratory syndrome coronavirus (SARS-CoV). It associates with cellular receptors to mediate infection of their target cells. Inspired by such a mechanism, an in-depth investigation into the genome sequences of S protein of SARS-CoV and its receptor are conducted thru a mathematical transformation and graphic approach. As an outcome, a novel method for visualizing the characteristic of SARS-CoV is suggested. An extensive comparison among a large number of genome sequences has proved that the characteristic thus revealed is unique for SARS-CoV. As such, the characteristic can be regarded as the fingerprint map of SARS-CoV for diagnostic usage. Moreover, the conclusion has been further supported in a real case in Guangdong province of China. The fingerprint map proposed here has the merits of clear visibility and reliability that can serve as a complementary clinical tool for detecting SARS-CoV, particularly for the cases where the results obtained by the conventional methods are uncertain or conflicted with each other.
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Affiliation(s)
- Lei Gao
- Bio-Informatics Research Center, College of Information Sciences and Technology, Donghua University, Shanghai 200051, China
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10
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Woo PCY, Lau SKP, Tsoi HW, Chan KH, Wong BHL, Che XY, Tam VKP, Tam SCF, Cheng VCC, Hung IFN, Wong SSY, Zheng BJ, Guan Y, Yuen KY. Relative rates of non-pneumonic SARS coronavirus infection and SARS coronavirus pneumonia. Lancet 2004; 363:841-5. [PMID: 15031027 PMCID: PMC7112439 DOI: 10.1016/s0140-6736(04)15729-2] [Citation(s) in RCA: 113] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND Although the genome of severe acute respiratory syndrome coronavirus (SARS-CoV) has been sequenced and a possible animal reservoir identified, seroprevalence studies and mass screening for detection of subclinical and non-pneumonic infections are still lacking. METHODS We cloned and purified the nucleocapsid protein and spike polypeptide of SARS-CoV and examined their immunogenicity with serum from patients with SARS-CoV pneumonia. An ELISA based on recombinant nucleocapsid protein for IgG detection was tested with serum from 149 healthy blood donors who donated 3 years previously and with serum positive for antibodies against SARS-CoV (by indirect immunofluorescence assay) from 106 patients with SARS-CoV pneumonia. The seroprevalence of SARS-CoV was studied with the ELISA in healthy blood donors who donated during the SARS outbreak in Hong Kong, non-pneumonic hospital inpatients, and symptom-free health-care workers. All positive samples were confirmed by two separate western-blot assays (with recombinant nucleocapsid protein and recombinant spike polypeptide). FINDINGS Western-blot analysis showed that the nucleocapsid protein and spike polypeptide of SARS-CoV are highly immunogenic. The specificity of the IgG antibody test (ELISA with positive samples confirmed by the two western-blot assays) was 100%, and the sensitivity was 94.3%. Three of 400 healthy blood donors who donated during the SARS outbreak and one of 131 non-pneumonic paediatric inpatients were positive for IgG antibodies, confirmed by the two western-blot assays (total, 0.48% of our study population). INTERPRETATION Our findings support the existence of subclinical or non-pneumonic SARS-CoV infections. Such infections are more common than SARS-CoV pneumonia in our locality.
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Affiliation(s)
- Patrick CY Woo
- Department of Microbiology, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong
| | - Susanna KP Lau
- Department of Microbiology, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong
| | - Hoi-wah Tsoi
- Department of Microbiology, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong
| | - Kwok-hung Chan
- Department of Microbiology, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong
| | - Beatrice HL Wong
- Department of Microbiology, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong
| | - Xiao-yan Che
- Central Laboratory, Zhujiang Hospital, First Military Medical University, Guangzhou, China
| | - Victoria KP Tam
- Department of Microbiology, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong
| | - Sidney CF Tam
- Department of Clinical Biochemistry, Queen Mary Hospital, Hong Kong
| | - Vincent CC Cheng
- Department of Microbiology, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong
| | - Ivan FN Hung
- Department of Microbiology, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong
| | - Samson SY Wong
- Department of Microbiology, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong
| | - Bo-jian Zheng
- Department of Microbiology, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong
| | - Yi Guan
- Department of Microbiology, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong
| | - Kwok-yung Yuen
- Department of Microbiology, University of Hong Kong, University Pathology Building, Queen Mary Hospital, Hong Kong
- Correspondence to: Prof Kwok-yung Yuen
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