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<title xml:lang="en">Insight into 2019 novel coronavirus — an updated intrim review and lessons from SARS-CoV and MERS-CoV</title>
<author>
<name sortKey="Xie, Mingxuan" sort="Xie, Mingxuan" uniqKey="Xie M" first="Mingxuan" last="Xie">Mingxuan Xie</name>
<affiliation>
<nlm:aff id="aff0005">Department of Geriatrics / Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="aff0010">National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Chen, Qiong" sort="Chen, Qiong" uniqKey="Chen Q" first="Qiong" last="Chen">Qiong Chen</name>
<affiliation>
<nlm:aff id="aff0005">Department of Geriatrics / Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="aff0010">National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China</nlm:aff>
</affiliation>
</author>
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<idno type="wicri:source">PMC</idno>
<idno type="pmid">32247050</idno>
<idno type="pmc">7118633</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118633</idno>
<idno type="RBID">PMC:7118633</idno>
<idno type="doi">10.1016/j.ijid.2020.03.071</idno>
<date when="2020">2020</date>
<idno type="wicri:Area/Pmc/Corpus">001352</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001352</idno>
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<title xml:lang="en" level="a" type="main">Insight into 2019 novel coronavirus — an updated intrim review and lessons from SARS-CoV and MERS-CoV</title>
<author>
<name sortKey="Xie, Mingxuan" sort="Xie, Mingxuan" uniqKey="Xie M" first="Mingxuan" last="Xie">Mingxuan Xie</name>
<affiliation>
<nlm:aff id="aff0005">Department of Geriatrics / Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="aff0010">National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Chen, Qiong" sort="Chen, Qiong" uniqKey="Chen Q" first="Qiong" last="Chen">Qiong Chen</name>
<affiliation>
<nlm:aff id="aff0005">Department of Geriatrics / Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="aff0010">National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China</nlm:aff>
</affiliation>
</author>
</analytic>
<series>
<title level="j">International Journal of Infectious Diseases</title>
<idno type="ISSN">1201-9712</idno>
<idno type="eISSN">1878-3511</idno>
<imprint>
<date when="2020">2020</date>
</imprint>
</series>
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<front>
<div type="abstract" xml:lang="en">
<title>Highlights</title>
<p>
<list list-type="simple" id="lis0005">
<list-item id="lsti0005">
<label></label>
<p id="par0005">The COVID-19 had a high R
<sub>0</sub>
, a long incubation period, and a short serial interval.</p>
</list-item>
<list-item id="lsti0010">
<label></label>
<p id="par0010">The COVID-19 had a general low CFR, but much higher in patients with comorbidities.</p>
</list-item>
<list-item id="lsti0015">
<label></label>
<p id="par0015">The spike protein binding to ACE2 may explain the high R
<sub>0</sub>
of COVID-19.</p>
</list-item>
<list-item id="lsti0020">
<label></label>
<p id="par0020">Autopsy showed more exudative lesions, and less fibrosis and consolidation.</p>
</list-item>
<list-item id="lsti0025">
<label></label>
<p id="par0025">Remdesivir, chloroquine, tocilizumab, and convalescent plasma may be effective.</p>
</list-item>
</list>
</p>
</div>
</front>
<back>
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<pmc article-type="review-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Int J Infect Dis</journal-id>
<journal-id journal-id-type="iso-abbrev">Int. J. Infect. Dis</journal-id>
<journal-title-group>
<journal-title>International Journal of Infectious Diseases</journal-title>
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<issn pub-type="ppub">1201-9712</issn>
<issn pub-type="epub">1878-3511</issn>
<publisher>
<publisher-name>The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.</publisher-name>
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</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">32247050</article-id>
<article-id pub-id-type="pmc">7118633</article-id>
<article-id pub-id-type="publisher-id">S1201-9712(20)30204-6</article-id>
<article-id pub-id-type="doi">10.1016/j.ijid.2020.03.071</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Insight into 2019 novel coronavirus — an updated intrim review and lessons from SARS-CoV and MERS-CoV</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" id="aut0005">
<name>
<surname>Xie</surname>
<given-names>Mingxuan</given-names>
</name>
<xref rid="aff0005" ref-type="aff">a</xref>
<xref rid="aff0010" ref-type="aff">b</xref>
</contrib>
<contrib contrib-type="author" id="aut0010">
<name>
<surname>Chen</surname>
<given-names>Qiong</given-names>
</name>
<email>qiongch@163.com</email>
<xref rid="aff0005" ref-type="aff">a</xref>
<xref rid="aff0010" ref-type="aff">b</xref>
<xref rid="cor0005" ref-type="corresp"></xref>
</contrib>
</contrib-group>
<aff id="aff0005">
<label>a</label>
Department of Geriatrics / Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China</aff>
<aff id="aff0010">
<label>b</label>
National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China</aff>
<author-notes>
<corresp id="cor0005">
<label></label>
Corresponding author at: Xiangya Hospital, 87 Xiangya Rd., Changsha, Hunan Province, China.
<email>qiongch@163.com</email>
</corresp>
</author-notes>
<pub-date pub-type="pmc-release">
<day>1</day>
<month>4</month>
<year>2020</year>
</pub-date>
<pmc-comment> PMC Release delay is 0 months and 0 days and was based on .</pmc-comment>
<pub-date pub-type="epub">
<day>1</day>
<month>4</month>
<year>2020</year>
</pub-date>
<elocation-id></elocation-id>
<history>
<date date-type="received">
<day>8</day>
<month>3</month>
<year>2020</year>
</date>
<date date-type="rev-recd">
<day>23</day>
<month>3</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>3</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>© 2020 The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.</copyright-statement>
<copyright-year>2020</copyright-year>
<copyright-holder></copyright-holder>
<license>
<license-p>Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.</license-p>
</license>
</permissions>
<abstract abstract-type="author-highlights" id="abs0005">
<title>Highlights</title>
<p>
<list list-type="simple" id="lis0005">
<list-item id="lsti0005">
<label></label>
<p id="par0005">The COVID-19 had a high R
<sub>0</sub>
, a long incubation period, and a short serial interval.</p>
</list-item>
<list-item id="lsti0010">
<label></label>
<p id="par0010">The COVID-19 had a general low CFR, but much higher in patients with comorbidities.</p>
</list-item>
<list-item id="lsti0015">
<label></label>
<p id="par0015">The spike protein binding to ACE2 may explain the high R
<sub>0</sub>
of COVID-19.</p>
</list-item>
<list-item id="lsti0020">
<label></label>
<p id="par0020">Autopsy showed more exudative lesions, and less fibrosis and consolidation.</p>
</list-item>
<list-item id="lsti0025">
<label></label>
<p id="par0025">Remdesivir, chloroquine, tocilizumab, and convalescent plasma may be effective.</p>
</list-item>
</list>
</p>
</abstract>
<abstract id="abs0010">
<sec>
<title>Background</title>
<p>The rapid spread of the coronavirus disease 2019 (COVID-19), caused by a zoonotic beta-coronavirus entitled 2019 novel coronavirus (2019-nCoV), has become a global threat. Awareness of the biological features of 2019-nCoV should be updated in time and needs to be comprehensively summarized to help optimize control measures and make therapeutic decisions.</p>
</sec>
<sec>
<title>Methods</title>
<p>Based on recently published literatures, official documents and selected up-to-date preprint studies, we reviewed the virology and origin, epidemiology, clinical manifestations, pathology and treatment of 2019-nCoV infection, in comparison with severe acute respiratory syndrome coronavirus (SARS-CoV) and middle east respiratory syndrome coronavirus (MERS-CoV) infection.</p>
</sec>
<sec>
<title>Results</title>
<p>The genome of 2019-nCoV partially resembled SARS-CoV and MERS-CoV, and indicating a bat origin. The COVID-19 generally had a high reproductive number, a long incubation period, a short serial interval and a low case fatality rate (much higher in patients with comorbidities) than SARS and MERS. Clinical presentation and pathology of COVID-19 greatly resembled SARS and MERS, with less upper respiratory and gastrointestinal symptoms, and more exudative lesions in post-mortems. Potential treatments included remdesivir, chloroquine, tocilizumab, convalescent plasma and vaccine immunization (when possible).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The initial experience from the current pandemic and lessons from the previous two pandemics can help improve future preparedness plans and combat disease progression.</p>
</sec>
</abstract>
<kwd-group id="kwd0005">
<title>Keywords</title>
<kwd>2019-nCoV</kwd>
<kwd>COVID-19</kwd>
<kwd>SARS-CoV-2</kwd>
<kwd>SARS-CoV</kwd>
<kwd>MERS-CoV</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="sec0005">
<title>Introduction</title>
<p id="par0030">In late December 2019, a pneumonia outbreak of unknown etiology took place in Wuhan, Hubei province, China, and spread quickly nationwide. Chinese Center for Disease Control and Prevention (CCDC) identified a novel beta-coronavirus called 2019-nCoV, now officially known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (
<xref rid="bib0065" ref-type="bibr">Gorbalenya et al., 2020</xref>
), that responsible for the pandemic. This was the third zoonotic coronavirus breakout in the first two decades of 21
<sup>st</sup>
century that allowing human-to-human transmission and raising global health concerns. Chinese government had taken immediate, transparent and extraordinary measures, and reached initial achievements to control the outbreak. As of 11 March 2020, the pandemic caused accumulated 80955 confirmed cases and 3162 deaths in China, 37364 confirmed cases and 1130 deaths in 113 other countries worldwide. World Health Organization (WHO) deeply concerned the unprecedented swift global spread and severity of the outbreak, and by ignorance and inaction of some countries. Therefore, WHO announced the COVID-19 can be characterized as a pandemic (
<xref rid="bib0220" ref-type="bibr">WHO, 2020</xref>
a).</p>
<p id="par0035">Biological features of 2019-nCoV and experiences combating COVID-19 should be updated in time and needs to be comprehensively summarized to help optimize control measures and make therapeutic decisions. What’s more, the 2019-nCoV demonstrated partial resemblance with SARS-CoV and MERS-CoV, in phylogenetic analysis, clinical manifestations and pathological findings. Scientific advances from the SARS and MERS outbreaks can provide valuable insight into rapid understanding and control measures of the current pandemic. We searched literatures and guidelines in Pubmed, Web of Science, Embase, CNKI, Wanfang, VIP, preprint bioRxiv and medRxiv databases from the earliest available date to 11 March, 2020. Initial search terms were "2019-nCoV" OR “2019 novel coronavirus" OR "SARS-CoV-2" OR "COVID-19" OR "corona virus disease 2019" OR "NCP" OR "Novel coronavirus pneumonia". Further search words were above keywords, "SARS" OR "SARS-CoV" OR "severe acute respiratory syndrome", "MERS" OR "MERS-CoV" OR "middle east respiratory syndrome", in combinations of with "spike protein" OR "genome" OR "reproductive number" OR "incubation period" OR "serial interval" OR "fatality rate" OR "clinical characteristics" OR "pathology" OR "autopsy" OR "treatment". Moreover, official documents and news released by National Health Commission of P.R. China, CCDC, CDC(USA) and WHO were accessed for up-to-date information on COVID-19. Only the articles in English or Chinese were considered.</p>
<p id="par0040">In this review, we highlight the pandemic potential and pathological indications of emerging coronavirus, comprehensively and systematically summarize the up-to-date knowledge of the biological characteristics of 2019-nCoV, including virology and origin, epidemiology, clinical manifestations, pathology and treatment. Because of its natural structures and biological features to bind receptors on host cells, the spike protein of 2019-nCoV may played an essential role in disease spreading. We summarized all of the four available pathology studies of COVID-19 biopsy and autopsy, and compared the results with previous two deadly coronavirus diseases. New therapeutic measures are emerging one after another. Potential effective treatments were remdesivir, chloroquine, tocilizumab, convalescent plasma and vaccine immunization (when possible). Evidence-based medicine should always be advocated to guide our clinical decision.</p>
</sec>
<sec id="sec0010">
<title>Virology and origin</title>
<p id="par0045">Coronavirus belongs to the subfamily Orthocoronavirinae in the family of Coronaviridae in the order Nidovirales, which mainly caused infections in respiratory and gastrointestinal tract. The 2019-nCoV is a novel enveloped beta-coronavirus which has a single stranded positive sense RNA genome(
<xref rid="bib0260" ref-type="bibr">Zhu et al., 2020</xref>
). Concerning the origin of the virus, several phylogenetic analysis suggested the bat to be the most probable animal reservoir. Based on genome sequencing, 2019-nCoV is about 89% identical to bat SARS-like-CoVZXC21, 82% identical to human SARS-CoV and about 50% to MERS-CoV(
<xref rid="bib0030" ref-type="bibr">Chan et al., 2020</xref>
,
<xref rid="bib0130" ref-type="bibr">Lu et al., 2020</xref>
). As both SARS-CoV and MERS-CoV were transmitted from bats to palm civets or dromedary camels, and finally to humans, there should be another animal representing as an intermediate host between bat and human. Pangolins were suggested as the possible intermediate hosts, because their genome had approximately 85.5%-92.4% similarity to 2019-nCoV, representing two sub-lineages of 2019-nCoV in the phylogenetic tree, one of which (GD/P1L and GDP2S) was extremely closely related to 2019-nCoV(
<xref rid="bib0100" ref-type="bibr">Lam et al., 2020</xref>
). Other research suggested 2019-nCoV was the recombinant virus of bat coronavirus and snake coronavirus, by comparison in conjunction with relative synonymous codon usage bias among different animal species(
<xref rid="bib0095" ref-type="bibr">Ji et al., 2020</xref>
). The truth is yet to be discovered.</p>
<p id="par0050">The spike surface glycoprotein of coronavirus plays an essential role in binding to receptors on host cells and determines host tropism. Spike protein(S-protein) of 2019-nCoV is reported to bind with angiotensin-converting enzyme 2 (ACE2), the same receptor of SARS-CoV to invade host cells; whereas MERS-CoV uses dipeptidyl peptidase 4 (DPP4) as the primary receptor(
<xref rid="bib0230" ref-type="bibr">Wu et al., 2020</xref>
). The amino acid sequence of S-protein in 2019-nCoV is 76.47% identical to that of SARS-CoV, with the same structural confirmation and electrostatic properties in the interaction interface. The residues at positions 442, 472, 479, 487, and 491 in S-protein are reported to be at receptor complex interface with ACE2. However, four of the five critical residues in the 2019-nCoV S-protein are not preserved except for Tyr491. The binding free energy for 2019-nCoV S-protein to bind with human ACE2, increases by 28 kcal mol
<sup>–1</sup>
compared to SARS-CoV S-protein (-50.6 kcal mol
<sup>–1</sup>
vs. -78.6 kcal mol
<sup>–1</sup>
), due to the loss of hydrogen bond interactions by replacing Arg426 with Asn426(
<xref rid="bib0240" ref-type="bibr">Xu et al., 2020a</xref>
). Furin-like cleavage site was supposed to be cleaved by proprotein convertase furin at special viral envelope glycoproteins, thereby enhancing viral fusion with host cell membranes.
<xref rid="bib0050" ref-type="bibr">Coutard et al. (2020)</xref>
reported a furin-like cleavage site in the S-protein of 2019-nCoV, which is absent in other lineage b beta-coronaviruses. Another research team also discovered an “RRAR” furin recognition site by an insertion in the S1/S2 protease cleavage site in 2019-nCoV, instead of a single arginine in SARS-CoV. After quantifying the kinetics mediating the interaction via surface plasmon resonance, ACE2 is calculated to bind to 2019-nCoV ectodomain with ∼15 nM affinity, which is approximately 10- to 20-fold higher affinity than ACE2 binding to SARS-CoV(
<xref rid="bib0225" ref-type="bibr">Wrapp et al., 2020</xref>
). In all, the binding affinity between 2019-nCoV S-protein and ACE2 is comparable or even stronger than SARS-CoV S-protein and ACE2. This may explain the rapid development and strong ability of human-to-human transmission in COVID-19.</p>
<sec id="sec0015">
<title>Epidemiology</title>
<p id="par0055">The pandemic escalated exponentially at the beginning of 2020, which might only be the tip of the iceberg due to delayed case reporting and deficiency in testing kits(
<xref rid="bib0115" ref-type="bibr">Li et al., 2020</xref>
). The onset of first cluster cases were reported an exposure history to the Huanan seafood(wild animal) wholesale market in Wuhan. However, phyloepidemiologic analyses suggested that Huanan market was not the origin of 2019-nCoV. The virus was imported from elsewhere and boosted in the crowded market(
<xref rid="bib0255" ref-type="bibr">Yu et al., 2020</xref>
). The proportion of infected cases without an exposure history and in health care workers gradually increased. All of the evidence indicated the human-to-human transmission ability of 2019-nCoV, which may already be spread silently between people in Wuhan before the cluster of cases from Huanan market was discovered in late December. Person-to-person transmission may occur mainly through droplet or contact transmission. According to Guan’s latest pilot study, 2019-nCoV was detected positive in the gastrointestinal tract specimens (stool and rectal swabs) as well as in saliva and urine, and even in esophageal erosion and bleeding site of severe peptic ulcer patients(
<xref rid="bib0070" ref-type="bibr">Guan et al., 2020</xref>
). Four important epidemiological parameters of 2019-nCoV were reviewed in comparison with those of SARS-CoV and MERS-CoV(shown in
<xref rid="tbl0005" ref-type="table">Table 1</xref>
).
<table-wrap position="float" id="tbl0005">
<label>Table 1</label>
<caption>
<p>Epidemiology characteristics of COVID-19, SARS and MERS.</p>
</caption>
<alt-text id="at0005">Table 1</alt-text>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left"></th>
<th align="left">COVID-19</th>
<th align="left">SARS</th>
<th align="left">MERS</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Original location</td>
<td align="left">Wuhan, China</td>
<td align="left">Guangdong, China</td>
<td align="left">Jeddah, Saudi Arabia</td>
</tr>
<tr>
<td align="left">Total cases (global)</td>
<td align="left">85403+</td>
<td align="left">8096</td>
<td align="left">2229</td>
</tr>
<tr>
<td align="left">Total death (global)</td>
<td align="left">1753+</td>
<td align="left">774</td>
<td align="left">791</td>
</tr>
<tr>
<td align="left">Healthcare worker cases(%)</td>
<td align="left">3.8</td>
<td align="left">21</td>
<td align="left">18.6</td>
</tr>
<tr>
<td align="left">Reproductive number</td>
<td align="left">3.28</td>
<td align="left">3.0</td>
<td align="left"><1.0</td>
</tr>
<tr>
<td align="left">Incubation period (days)</td>
<td align="left">4.75-6.4</td>
<td align="left">4.0</td>
<td align="left">4.5-5.2</td>
</tr>
<tr>
<td align="left">Serial interval (days)</td>
<td align="left">2.6-7.5</td>
<td align="left">8.4</td>
<td align="left">12.6</td>
</tr>
<tr>
<td align="left">Case-fatality rate (%)</td>
<td align="left">3.0</td>
<td align="left">9.6</td>
<td align="left">35.5</td>
</tr>
<tr>
<td align="left">CFR with comorbidities (%)</td>
<td align="left">73.3</td>
<td align="left">46.0</td>
<td align="left">60.0</td>
</tr>
</tbody>
</table>
</table-wrap>
</p>
<p id="par0060">Reproductive number is an indication of the transmissibility of a virus, representing the average number of new infections generated by an infectious person in a totally naïve population. For R
<sub>0</sub>
<1, the number of infected is likely to increase; for R
<sub>0</sub>
<1, transmission is likely to decline and die out. The reproductive number updated along with the development of the outbreak and interventions. R
<sub>0</sub>
was estimated to be around 3 for SARS(
<xref rid="bib0020" ref-type="bibr">Bauch et al., 2005</xref>
) and <1 for MERS(
<xref rid="bib0025" ref-type="bibr">Bauch and Oraby, 2013</xref>
). The preliminary R
<sub>0</sub>
of 2019-nCoV was reported as 2.24-3.58(
<xref rid="bib0125" ref-type="bibr">Liu et al., 2020</xref>
). Several research groups reported estimated R
<sub>0</sub>
of the outbreak depending on distinct estimation methods and the validity of underlying assumptions.
<xref rid="bib0125" ref-type="bibr">Liu et al. (2020)</xref>
reviewed all of the 12 references of an estimated R
<sub>0</sub>
ranged from 1.4 to 6.49, with a mean of 3.28 and a median of 2.79. In clinical studies, a 425-case study by 22 January 2020, reported an R
<sub>0</sub>
of approximately 2.2(95%CI, 1.4-3.9)(
<xref rid="bib0115" ref-type="bibr">Li et al., 2020</xref>
), while another 4021-case study by 26 January 2020, estimated 3.77(95%CI, 3.51-4.05) (
<xref rid="bib0250" ref-type="bibr">Yang et al., 2020</xref>
). The discrepancy may be due to sample number and different stages of the pandemic.</p>
<p id="par0065">Incubation period is defined as the interval from initial exposure to an infectious agent to onset of any symptoms or signs it causes. A long incubation period may lead to a high rate of asymptomatic and subclinical infection. The first prediction of mean incubation period was 5.2 days (95%CI, 4.1-7.0 days), with the 95th percentile of the distribution at 12.5 days, based on 2019-nCoV exposure histories of the first 425 cases in Wuhan(
<xref rid="bib0115" ref-type="bibr">Li et al., 2020</xref>
). A 4021-case study reported 4.75 days (interquartile range: 3.0-7.2 days) (
<xref rid="bib0250" ref-type="bibr">Yang et al., 2020</xref>
). Another 88-exported-case study calculated the mean incubation period to be 6.4 days (95%CI, 5.6–7.7 days), using known travel histories to and from Wuhan and symptom onset dates(
<xref rid="bib0010" ref-type="bibr">Backer et al., 2020</xref>
). All these literatures lay the foundation to set 14 days as the medical observation period if any exposure occurred. A latest study collected 1099 cases from 552 hospitals in 31 provinces in China and declared a median incubation period of 3.0 days, ranging from 0 to surprisingly 24.0 days. An adjustments in screening and control policies may be needed. The 2019-nCoV generally has a longer incubation time than SARS-CoV (4.0 days, 95% CI 3.6-4.4 days) (
<xref rid="bib0110" ref-type="bibr">Lessler et al., 2009</xref>
) and MERS-CoV (range 4.5-5.2 days) (
<xref rid="bib0160" ref-type="bibr">Park et al., 2018</xref>
).</p>
<p id="par0070">Serial interval is the interval from illness onset in a primary case to illness onset in the secondary case. The mean serial interval was estimated at 7.5 days(95% CI, 5.3-19days) using contact tracing data from early Wuhan cases in 2019-nCoV pandemic, which was shorter than the 8.4-day mean serial interval reported for SARS (
<xref rid="bib0120" ref-type="bibr">Lipsitch et al., 2003</xref>
) and 12.6-day for MERS(
<xref rid="bib0055" ref-type="bibr">Cowling et al., 2015</xref>
). Another estimation of the mean serial interval from 26 infector-infectee pairs was surprisingly 2.6 days, which was shorter than the median incubation period, suggesting a substantial proportion of secondary transmission before illness onset(
<xref rid="bib0155" ref-type="bibr">Nishiura et al., 2020</xref>
).</p>
<p id="par0075">The CFR in early studies of COVID-19 involving relatively small samples of confirmed cases in Wuhan, varied from 4.3% to 14.6%(
<xref rid="bib0040" ref-type="bibr">Chen et al., 2020a</xref>
,
<xref rid="bib0085" ref-type="bibr">Huang et al., 2020</xref>
,
<xref rid="bib0195" ref-type="bibr">Wang et al., 2020a</xref>
), but that may not be able to reflect the truth. The CFR in Wuhan was undoubtedly higher than CFR outside of Wuhan. The reported CFR ranged 1.4%-3.06% in large nationwide case studies(
<xref rid="bib0070" ref-type="bibr">Guan et al., 2020</xref>
,
<xref rid="bib0250" ref-type="bibr">Yang et al., 2020</xref>
). Prognosis factors such as male, elderly patients aged≥ 60 years, underlying disease, severe pneumonia at baseline and a delay from onset to diagnosis >5 days substantially elevated the CFRs(
<xref rid="bib0250" ref-type="bibr">Yang et al., 2020</xref>
). CFRs in patients with cardiovascular disease, diabetes, hypertension and respiratory disorders were as high as 10.5%, 7.3%, 6.0% and 6.3%, respectively. According to WHO announcement, SARS accounted for 8096 cases and 774 death, with a CFR of 9.6%(WHO, 2004). MERS-CoV infection were responsible for 2229 cases and 791 death, with a crude CFR of 35.5%(
<xref rid="bib0215" ref-type="bibr">WHO, 2018</xref>
). A study of 44672 cases conducted by CCDC reported a CFR of 2.3% nationwide, with a CFR of 2.9% in Hubei province compared to 0.4% in other parts of China(
<xref rid="bib0235" ref-type="bibr">Wu and McGoogan, 2020</xref>
). Despite a gradually stable CFR around 3, the prognosis and outcome of COVID-19 was also extraordinarily destructive and causing more death because of its enormous infected population. We can see a family close relative clustering phenomenon of severe and death cases. Genome sequencing and linkage analysis of ACE2 gene polymorphism may help determine individual susceptibility to 2019-nCoV and provide early-warning detection mode of severe COVID-19 in clinical practice.</p>
</sec>
<sec id="sec0020">
<title>Clinical manifestations</title>
<p id="par0080">Clinical presentation of COVID-19 greatly resembled viral pneumonia such as SARS and MERS. Most cases are mild cases(81%), whose symptoms were usually self-limiting and recovery in two weeks(
<xref rid="bib0235" ref-type="bibr">Wu and McGoogan, 2020</xref>
). Severe patients progressed rapidly with acute respiratory distress syndrome (ARDS) and septic shock, eventually ended in multiple organ failure.</p>
<p id="par0085">General information of four inpatient case studies with relatively comprehensive data were summarized in supplementary
<xref rid="tbl0005" ref-type="table">Table 1</xref>
. The 2019-nCoV was more likely to infect elderly men with comorbidities. Males were more susceptible to 2019-nCoV infection, same as SARS-CoV and MERS-CoV studies(
<xref rid="bib0015" ref-type="bibr">Badawi and Ryoo, 2016</xref>
), due to X chromosome and sex hormones’ role on innate and adaptive immunity(
<xref rid="bib0090" ref-type="bibr">Jaillon et al., 2019</xref>
). Chronic underlying diseases (mainly hypertension, cardio-cerebrovascular diseases and diabetes) may increase the risk of 2019-nCoV infection(
<xref rid="bib0070" ref-type="bibr">Guan et al., 2020</xref>
), which is similar to MERS-CoV infection(
<xref rid="bib0015" ref-type="bibr">Badawi and Ryoo, 2016</xref>
). Smoking may be a negative prognostic indicator for COVID-19(
<xref rid="bib0040" ref-type="bibr">Chen et al., 2020a</xref>
,
<xref rid="bib0070" ref-type="bibr">Guan et al., 2020</xref>
).</p>
<p id="par0090">Clinical information of the above four selected inpatient case studies were summarized in supplementary table 2. Onset of symptoms were usually mild and nonspecific, presenting by fever, dry cough and shortness of breath. Very few COVID-19 patients had prominent upper respiratory tract and gastrointestinal symptoms (eg, diarrhea) (
<xref rid="bib0070" ref-type="bibr">Guan et al., 2020</xref>
,
<xref rid="bib0085" ref-type="bibr">Huang et al., 2020</xref>
), compared to 20–25% of patients with MERS-CoV or SARS-CoV infection developed diarrhea(
<xref rid="bib0005" ref-type="bibr">Assiri et al., 2013</xref>
). However, only 43.8% of COVID-19 patients had an initial presentation of fever, and developed to 87.9% following hospitalization(
<xref rid="bib0070" ref-type="bibr">Guan et al., 2020</xref>
), compared to as high as 99% and 98% frequent in SARS-CoV and MERS-CoV infection(
<xref rid="bib0015" ref-type="bibr">Badawi and Ryoo, 2016</xref>
). Those patients without fever or even asymptomatic may be left un-quarantined as silent infection source, if the surveillance methods focused heavily on fever detection. Moreover, the onset of symptoms may help physicians identifying patients with poor prognosis. Patients admitted to the ICU were more likely to report pharyngeal pain, dyspnea, dizziness, abdominal pain and anorexia(
<xref rid="bib0195" ref-type="bibr">Wang et al., 2020a</xref>
).</p>
<p id="par0095">In terms of laboratory findings, a substantial decrease in the total number of lymphocytes could be used as an index in the diagnosis of 2019-nCoV infection, indicating a consumption of immune cells and an impairment to cellular immune function(
<xref rid="bib0040" ref-type="bibr">Chen et al., 2020a</xref>
). Non-survivors developed more severe lymphopenia over time(
<xref rid="bib0195" ref-type="bibr">Wang et al., 2020a</xref>
). Initial proinflammatory plasma cytokine concentrations were higher in COVID-19 patients than in healthy adults. ICU patients had even higher plasma levels of IL2, IL7, IL10, GSCF, IP10, MCP1, MIP1A, and TNFα compared to non-ICU patients(
<xref rid="bib0085" ref-type="bibr">Huang et al., 2020</xref>
). There were numerous differences in laboratory findings between patients admitted to the ICU and those not, including higher white blood cell and neutrophil counts, higher levels of D-dimer, creatine kinase, and creatine in ICU patients(
<xref rid="bib0195" ref-type="bibr">Wang et al., 2020a</xref>
).</p>
<p id="par0100">Typical chest CT manifestation of COVID-19 pneumonia were initially small subpleural ground glass opacities that grew larger with crazy-paving pattern and consolidation. After two weeks of growth, the lesions were gradually absorbed leaving extensive opacities and subpleural parenchymal bands in recovery patients. However,
<xref rid="bib0070" ref-type="bibr">Guan et al. ( 2020</xref>
) demonstrated that patients with normal radiologic findings on initial presentation consisted of 23.9% and 5.2% of severe and non-severe cases respectively, which add the complexity to disease control.</p>
</sec>
<sec id="sec0025">
<title>Pathology</title>
<p id="par0105">Autopsy or biopsy studies would always be the key to understand the biological features of 2019-nCoV. Histological examinations of two patients underwent lung lobectomies for adenocarcinoma, revealed edema, proteinaceous exudate, focal hyperplasia of pneumocytes with only patchy inflammatory cellular infiltration without prominent hyaline membranes. Since both patients didn’t develop symptoms of COVID-19 pneumonia at the time of surgery, these changes likely represent an early phase of the lung pathology of COVID-19 pneumonia.
<xref rid="bib0170" ref-type="bibr">Qian et al. (2020)</xref>
first reported the pathological characteristics of a patient who died from COVID-19. General observation from raw eyes showed less fibrosis and consolidation, instead more exudative lesions in COVID-19 than SARS. Microscopic examination showed bilateral diffuse alveolar damage with cellular fibromyxoid exudates, indicating ARDS. Interstitial mononuclear inflammatory infiltrates were dominated by lymphocytes. Multinucleated syncytial cells with atypical enlarged pneumocytes showed viral cytopathic-like changes, without obvious intranuclear or intracytoplasmic viral inclusions. Results from flow cytometric analysis demonstrated that the counts of peripheral CD4+ and CD8 + T cells were substantially reduced, while their status were hyper-activated. It indicated the severe immune injury in later stage of COVID-19, but not by virus direct destruction(
<xref rid="bib0245" ref-type="bibr">Xu et al., 2020b</xref>
). Based on the public database and single-cell RNA-Seq technique, pathological studies revealed that male donors had a higher ACE2-expressing cell ratio than their female counterparts. The only Asian male specimen has five more times as much as ACE2 expressing on the white and African American donors. This might explain why the 2019-nCov and previous SARS-CoV pandemic were concentrated in the Asian population and a heightened susceptibility of male patients, although more evidence was needed to draw such conclusion(
<xref rid="bib0255" ref-type="bibr">Yu et al., 2020</xref>
).</p>
<p id="par0110">Pathological manifestations of SARS and MERS infected patients may shed lights to control current 2019-nCoV pandemic. Histology examination demonstrated a considerably higher viral load of SARS-CoV RNA in lung and small bowels than other organs of the body, suggesting an reason for manifestation of pneumonia and diarrhea in SARS patients. Living 2019-nCoV was also detected positive in stool specimens and rectal swabs of infected patients, indicating possible transmission route of oral-faecal transmission. Proper handling with the infected corpse and disposal of human excreta of infected patients were of great importance(
<xref rid="bib0150" ref-type="bibr">Nicholls et al., 2003</xref>
). Thrombi were seen in all six autopsies of SARS-CoV infected patients, with even huge thrombus formation in part of pulmonary vessels. Coagulation function disorders were reported in most of the severe COVID-19 patients, by elevated levels of D-Dimer and prolonged prothrombin time, some of whom ended in disseminated intravascular coagulation(
<xref rid="bib0040" ref-type="bibr">Chen et al., 2020a</xref>
,
<xref rid="bib0085" ref-type="bibr">Huang et al., 2020</xref>
,
<xref rid="bib0195" ref-type="bibr">Wang et al., 2020a</xref>
). This may explain some sudden death of clinical recovery patients and serve as an indication for disease severity. In an autopsy study, the only one patient without usage of corticosteroids demonstrated increased CD3+ lymphocyte than five other specimen treated by corticosteroids (
<xref rid="bib0165" ref-type="bibr">Pei and Gao, 2005</xref>
). It suggested an inhibition of immune system and a careful usage of corticosteroids in COVID-19 treatment. Much is to be discovered in more 2019-nCoV autopsies.</p>
</sec>
<sec id="sec0030">
<title>Treatment</title>
<p id="par0115">There are currently no vaccine or specific effective antiviral therapies for COVID-19 in general. Thus there is an urgent need for global surveillance of COVID-19 patients. New therapeutic drugs are emerging one after another. However, double-blinded randomized controlled trials with larger sample size are needed to determine the safety and efficacy of these new drugs and guide clinical decision. Medical interventions can be divided into four major categories: general treatment, coronavirus specific treatments, antiviral treatments and others.</p>
<p id="par0120">General treatments included nutritional interventions, immuno-enhancers and Chinese medicine. Interferon, intravenous gamma-globulin and thymosin were believed to boost our immune system to fight with SARS-CoV and MERS-CoV as well as 2019-nCoV. Chloroquine, an old Chinese medicine for treatment of malaria and autoimmune disease, had demonstrated remarkable inhibition in the spread of SARS-CoV by interfering with ACE2 in Vero E6 cell lines(
<xref rid="bib0190" ref-type="bibr">Vincent et al., 2005</xref>
).
<xref rid="bib0200" ref-type="bibr">Wang et al. (2020b)</xref>
demonstrated that chloroquine functioned at both entry and post-entry stages of the 2019-nCoV infection in Vero E6 cells, as well as an immune-modulating activity that enhanced antiviral effect in vivo. Recent multicenter clinical trails conducted in China have also reported obvious efficacy and acceptable safety in COVID-19 patients by reducing exacerbation of pneumonia, improving radiological findings, promoting a virus negative conversion, and shortening the disease course(
<xref rid="bib0060" ref-type="bibr">Gao et al., 2020</xref>
).</p>
<p id="par0125">Due to the indispensable role of the S-protein in coronavirus, therapies and vaccine exploration targeting S-protein-ACE2 interaction may be very promising. Previous therapies targeting SARS-CoV and MERS-CoV may accelerate the development of treatment of COVID-19 because of their structure resemblance and genome similarities. The human monoclonal antibody could efficiently neutralize SARS-CoV and inhibit syncytia formation between S-protein and ACE2 expressing cells(
<xref rid="bib0180" ref-type="bibr">Sui et al., 2004</xref>
). Appropriate modification of the monoclonal antibody may be effective for treatment of COVID-19. What’s more, potential therapies targeting the renin-angiotensin system, to increase ACE2 expression and inhibit ACE may be developed to treat COVID-19 in the future.
<xref rid="bib0075" ref-type="bibr">Hoffmann et al. (2020)</xref>
reported a cellular protease TMPRSS2 for 2019-nCoV priming upon entrance into cells and viral spread in the infected host cells. The serine protease inhibitor camostat mesylate against TMPRSS2, can efficiently blocked 2019-nCoV-S-protein-driven cell entry, which could be a promising treatment for 2019-nCoV infection.</p>
<p id="par0130">There are no effective antiviral treatment for coronavirus infection, even the strong candidates as lopinavir/ritonavir and abidol exhibited no remarkable effect on clinical improvement, day 28 mortality or virus clearance(Chen et al., 2020). Expectation and attention were shifted to “remdesivir” which may be the most potential wide-spectrum drug for antiviral treatment of 2019-nCoV. Remdesivir is an adenosine analogue, which incorporates into novel viral RNA chains and results in pre-mature termination. It is currently under clinical development for the treatment of Ebola virus infection(
<xref rid="bib0140" ref-type="bibr">Mulangu et al., 2019</xref>
).
<xref rid="bib0200" ref-type="bibr">Wang et al. (2020b)</xref>
revealed that remdesivir were highly effective and safe in the control of 2019-nCoV infection in Vero E6 cells and Huh-7 cells. A successful appliance of remdesivir on the first 2019-nCoV infected case in the United States when the his clinical status was getting worsen, were recently released(
<xref rid="bib0080" ref-type="bibr">Holshue et al., 2020</xref>
). Animal experiments also showed superiority of remdesivir over lopinavir/ritonavir combined with interferon-β, by reducing MERS-CoV titers of infected mice and improving the lung tissue damage(
<xref rid="bib0175" ref-type="bibr">Sheahan et al., 2020</xref>
). The effectiveness and safety of remdesivir can be expected by the clinical trial lead by Dr Bin Cao.</p>
<p id="par0135">The 2019-nCoV infection is associated with a cytokine storm triggered by over-activated immune system(
<xref rid="bib0085" ref-type="bibr">Huang et al., 2020</xref>
,
<xref rid="bib0245" ref-type="bibr">Xu et al., 2020b</xref>
), similar to SARS and MERS. The aberrant and excessive immune responses lead to a long-term lung function and structure damage in patients survived from ICU. Ongoing trials of IL-6 antagonist tocilizumab, which shown effective against cytokine release syndrome resulting from CAR-T cell infusion against B cell acute lymphoblastic leukemia, may be expanded to restore T cell counts and treat severe 2019-nCoV infection(
<xref rid="bib0105" ref-type="bibr">Le et al., 2018</xref>
). The available observational studies and meta-analysis of corticosteroid treatment suggested impaired antibody response, increased mortality and secondary infection rates in influenza, increased viraemia and impaired virus clearance of SARS-CoV and MERS-CoV, and complications of corticosteroid therapy in survivors(
<xref rid="bib0265" ref-type="bibr">Zumla et al., 2020</xref>
). Therefore, corticosteroid should not be recommended for treatment of 2019-nCoV, or use on severe patient with special caution. A review on convalescent plasma for treatment of SARS-CoV and severe influenza infection, suggested a reduction in hospital stay and mortality rate, especially when administered early after symptom onset (
<xref rid="bib0135" ref-type="bibr">Mair-Jenkins et al., 2015</xref>
). However, another study demonstrated no significant improvement of convalescent plasma transfusion on survival of Ebola virus infected patients. Possible reasons may be the unknown levels of neutralizing antibodies in convalescent plasma and transfusion timing(
<xref rid="bib0185" ref-type="bibr">van Griensven et al., 2016</xref>
). In terms of vaccine, if any cross-reactive epitopes were identified between 2019-nCoV and SARS-CoV, previous vaccine for SARS-CoV might be re-utilized to facilitate 2019-nCoV vaccine development. We recommend an influenza and Streptococcus pneumoniae vaccination for prophylaxis, especially in elderly adults(
<xref rid="bib0045" ref-type="bibr">Chen et al., 2020b</xref>
). Both pandemic viruses result in similar respiratory symptoms and hard to distinguish. The 2019-nCoV pandemic initiated in flu season which easy to develop a combination infection of 2019-nCoV and influenza or Streptococcus infection. Vaccination against influenza and Streptococcus pneumonia in vulnerable elderly people with comorbidities are highly cost-effective, which is demonstrated to associate with reductions in the risk of hospitalization and death from all causes during influenza seasons(
<xref rid="bib0145" ref-type="bibr">Nichol et al., 2003</xref>
).</p>
</sec>
</sec>
<sec id="sec0035">
<title>Conclusion</title>
<p id="par0140">In conclusion, it still remains a challenging task to fight the 2019-nCoV of unknown origin and mysterious biological features, and to control an outbreak of COVID-19 with such a high R
<sub>0</sub>
, a long incubation period and a short serial interval, by limited treatment and prevention measures. Lessons learned from the MERS and SARS outbreaks can provide valuable insight into how to handle the current pandemic. The successful public health outbreak response tactics of Chinese government, such as hand hygiene, wearing masks, isolation, quarantine, social distancing, and community containment, can be copied by other countries according to their national situation. As the pandemic is still ongoing and expanding, experiences and research literatures from China and other countries will increase. The 2019-nCoV should be monitored of any possible gene variation of antigenic drift or antigenic conversion, to avoid another round of outbreak. Another lessons from this pandemic will be awe for nature and love for life.</p>
</sec>
<sec id="sec0040">
<title>Author Contributions</title>
<p id="par0145">Author Mingxuan Xie is responsible for conceptualization, literature reviewing, manuscript drafting and submitting. Author Qiong Chen is responsible for supervision, literature reviewing, manuscript drafting and revising. All authors have read and agreed to the published version of the manuscript.</p>
</sec>
<sec id="sec0045">
<title>Funding Source</title>
<p id="par0150">This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.</p>
</sec>
<sec id="sec0050">
<title>Ethical Approval</title>
<p id="par0155">The ethical approval or individual consent was not applicable.</p>
</sec>
<sec id="sec0055">
<title>Conflicts of Interest</title>
<p id="par0160">All authors declare no conflict of interest. All authors don’t have any financial and personal relationships with other people or organizations that could influence our work.</p>
</sec>
<sec id="sec0060">
<title>Uncited references</title>
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