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      Racing Towards the Development of Diagnostics for a Novel Coronavirus (2019-nCoV)

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      Clinical Chemistry
      Oxford University Press

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          Abstract

          In December 2019, a mysterious viral illness causing pneumonia broke out in the city of Wuhan, in Hubei Province in China. A proportion of the earlier cases were associated with a seafood market in the city, where exotic animals were also sold for food ( 1 ). Since then, this illness has been shown to be caused by a novel coronavirus (nCoV) that is named 2019-nCoV, and the disease named as coronavirus disease 2019 (COVID-19). As of February 26, 2020, the disease has been confirmed in over 80 900 cases, with over 2760 deaths. Geographically, the disease has spread beyond China to close to 40 other countries. The sensitive and specific detection of this virus is an important part of the global healthcare response to this outbreak. In this issue of the journal, Chu et al. ( 2 ) reported the development of two one-step real-time reverse transcription polymerase chain reaction assays for detecting 2019-nCoV. The 2 assays target the Orf1b and the N region of the viral genome. Due to the relative paucity of positive control materials when the authors developed these assays, the authors had designed the primers and probes such that they would also cross-react with the Severe Acute Respiratory Syndrome (SARS)-CoV. The authors then use SARS-CoV as one of their positive controls. The authors argued that this cross-reactivity would not cause any diagnostic ambiguity as SARS-CoV was no longer seen clinically following the resolution of the SARS epidemic in 2004. The authors found that the N assay was more sensitive than that targeting the Orf1b. The authors proposed using the former as a screening assay, and the latter as a diagnostic assay. On the basis of the data presented by the authors, one can perhaps argue that this two-tier test arrangement should be considered provisional. Further validation of this approach using a much larger sample cohort would be necessary. When the authors designed their assays, only one 2019-nCoV sequence was publicly available. However, since then, several other 2019-nCoV sequences became available ( 3 ). It will be essential to reassess the specificity of the authors’ primers and probes as the sequence database and biobank for 2019-nCoV grow. It also will be important to compare the performance of the authors’ assays versus those developed by other workers in the field ( 1 ). Additionally, it will be necessary to assess the quantitative performance of the authors’ assays in a clinical context, using serial samples. Exploration of the viral kinetics in various sample types and looking for correlations with clinical outcome will be valuable. Viral kinetics studies will be beneficial in identifying treatment modalities that may be effective in inhibiting viral replication. Viral diagnostics is one important part of our armamentarium against COVID-19. Public health measures, such as decisions to place a person and his or her close contacts under medical isolation, surveillance, or quarantine are intimately related to whether a suspected case has been confirmed to be infected with 2019-nCoV. To combat an epidemic, time is of the essence and hence the rapid development of sensitive and specific diagnostic tests is crucial. It is hoped that new therapies and even vaccines might eventually become available for this disease. The emergence of such viral zoonoses is indeed testing modern global healthcare and collaboration to the extreme.

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          Most cited references3

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          Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia

          Abstract Background The initial cases of novel coronavirus (2019-nCoV)–infected pneumonia (NCIP) occurred in Wuhan, Hubei Province, China, in December 2019 and January 2020. We analyzed data on the first 425 confirmed cases in Wuhan to determine the epidemiologic characteristics of NCIP. Methods We collected information on demographic characteristics, exposure history, and illness timelines of laboratory-confirmed cases of NCIP that had been reported by January 22, 2020. We described characteristics of the cases and estimated the key epidemiologic time-delay distributions. In the early period of exponential growth, we estimated the epidemic doubling time and the basic reproductive number. Results Among the first 425 patients with confirmed NCIP, the median age was 59 years and 56% were male. The majority of cases (55%) with onset before January 1, 2020, were linked to the Huanan Seafood Wholesale Market, as compared with 8.6% of the subsequent cases. The mean incubation period was 5.2 days (95% confidence interval [CI], 4.1 to 7.0), with the 95th percentile of the distribution at 12.5 days. In its early stages, the epidemic doubled in size every 7.4 days. With a mean serial interval of 7.5 days (95% CI, 5.3 to 19), the basic reproductive number was estimated to be 2.2 (95% CI, 1.4 to 3.9). Conclusions On the basis of this information, there is evidence that human-to-human transmission has occurred among close contacts since the middle of December 2019. Considerable efforts to reduce transmission will be required to control outbreaks if similar dynamics apply elsewhere. Measures to prevent or reduce transmission should be implemented in populations at risk. (Funded by the Ministry of Science and Technology of China and others.)
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            Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding

            Summary Background In late December, 2019, patients presenting with viral pneumonia due to an unidentified microbial agent were reported in Wuhan, China. A novel coronavirus was subsequently identified as the causative pathogen, provisionally named 2019 novel coronavirus (2019-nCoV). As of Jan 26, 2020, more than 2000 cases of 2019-nCoV infection have been confirmed, most of which involved people living in or visiting Wuhan, and human-to-human transmission has been confirmed. Methods We did next-generation sequencing of samples from bronchoalveolar lavage fluid and cultured isolates from nine inpatients, eight of whom had visited the Huanan seafood market in Wuhan. Complete and partial 2019-nCoV genome sequences were obtained from these individuals. Viral contigs were connected using Sanger sequencing to obtain the full-length genomes, with the terminal regions determined by rapid amplification of cDNA ends. Phylogenetic analysis of these 2019-nCoV genomes and those of other coronaviruses was used to determine the evolutionary history of the virus and help infer its likely origin. Homology modelling was done to explore the likely receptor-binding properties of the virus. Findings The ten genome sequences of 2019-nCoV obtained from the nine patients were extremely similar, exhibiting more than 99·98% sequence identity. Notably, 2019-nCoV was closely related (with 88% identity) to two bat-derived severe acute respiratory syndrome (SARS)-like coronaviruses, bat-SL-CoVZC45 and bat-SL-CoVZXC21, collected in 2018 in Zhoushan, eastern China, but were more distant from SARS-CoV (about 79%) and MERS-CoV (about 50%). Phylogenetic analysis revealed that 2019-nCoV fell within the subgenus Sarbecovirus of the genus Betacoronavirus, with a relatively long branch length to its closest relatives bat-SL-CoVZC45 and bat-SL-CoVZXC21, and was genetically distinct from SARS-CoV. Notably, homology modelling revealed that 2019-nCoV had a similar receptor-binding domain structure to that of SARS-CoV, despite amino acid variation at some key residues. Interpretation 2019-nCoV is sufficiently divergent from SARS-CoV to be considered a new human-infecting betacoronavirus. Although our phylogenetic analysis suggests that bats might be the original host of this virus, an animal sold at the seafood market in Wuhan might represent an intermediate host facilitating the emergence of the virus in humans. Importantly, structural analysis suggests that 2019-nCoV might be able to bind to the angiotensin-converting enzyme 2 receptor in humans. The future evolution, adaptation, and spread of this virus warrant urgent investigation. Funding National Key Research and Development Program of China, National Major Project for Control and Prevention of Infectious Disease in China, Chinese Academy of Sciences, Shandong First Medical University.
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              Molecular Diagnosis of a Novel Coronavirus (2019-nCoV) Causing an Outbreak of Pneumonia

              Abstract Background A novel coronavirus of zoonotic origin (2019-nCoV) has recently been identified in patients with acute respiratory disease. This virus is genetically similar to SARS coronavirus and bat SARS-like coronaviruses. The outbreak was initially detected in Wuhan, a major city of China, but has subsequently been detected in other provinces of China. Travel-associated cases have also been reported in a few other countries. Outbreaks in health care workers indicate human-to-human transmission. Molecular tests for rapid detection of this virus are urgently needed for early identification of infected patients. Methods We developed two 1-step quantitative real-time reverse-transcription PCR assays to detect two different regions (ORF1b and N) of the viral genome. The primer and probe sets were designed to react with this novel coronavirus and its closely related viruses, such as SARS coronavirus. These assays were evaluated using a panel of positive and negative controls. In addition, respiratory specimens from two 2019-nCoV-infected patients were tested. Results Using RNA extracted from cells infected by SARS coronavirus as a positive control, these assays were shown to have a dynamic range of at least seven orders of magnitude (2x10−4-2000 TCID50/reaction). Using DNA plasmids as positive standards, the detection limits of these assays were found to be below 10 copies per reaction. All negative control samples were negative in the assays. Samples from two 2019-nCoV-infected patients were positive in the tests. Conclusions The established assays can achieve a rapid detection of 2019n-CoV in human samples, thereby allowing early identification of patients.
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                Author and article information

                Contributors
                Journal
                Clin Chem
                Clin. Chem
                clinchem
                Clinical Chemistry
                Oxford University Press
                0009-9147
                1530-8561
                07 February 2020
                : hvaa038
                Affiliations
                Li Ka Shing Institute of Health Sciences and Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital , Shatin, New Territories, Hong Kong SAR, China
                Author notes
                Address correspondence to: Y.M.D.L. at Li Ka Shing Institute of Health Sciences and Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China. Fax 852-26365090; e-mail loym@ 123456cuhk.edu.hk .
                R.W.K.C. at Li Ka Shing Institute of Health Sciences and Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR. Fax 852 26365090; e-mail rossachiu@ 123456cuhk.edu.hk .
                Article
                hvaa038
                10.1093/clinchem/hvaa038
                7108485
                32031590
                af303868-1440-4fce-86a6-a5dba8718352
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                History
                : 1 February 2020
                : 3 February 2020
                Page count
                Pages: 2
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