| Literature DB >> 32398954 |
Annoor Awadasseid1,2, Yanling Wu3, Yoshimasa Tanaka4, Wen Zhang1.
Abstract
Coronavirus (CoV) has been one of the major pandemic threats to human health in the last two decades. The human coronavirus was first identified in 1960s. CoVs 229E, NL63, OC43, HKU1, SARS-CoV, and MERS-CoV have caused numerous disasters or human deaths worldwide. Recently, an outbreak of the previously unknown deadly CoV disease 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome CoV 2 (SARS-CoV-2, early named 2019-nCoV) occurred in Wuhan, China, and it had caused 81238 cases of confirmed infection, including 3250 deaths until March 19, 2020. Its risks and pandemic potential have brought global consideration. We summarized epidemiology, virological characteristics, clinical symptoms, diagnostic methods, clinical treatments, and prevention methods for COVID-19 to present a reference for the future wave of probable CoV outbreaks. © The author(s).Entities:
Keywords: COVID-19; SARS-CoV-2; infection; prevention; treatment
Mesh:
Year: 2020 PMID: 32398954 PMCID: PMC7211182 DOI: 10.7150/ijbs.45018
Source DB: PubMed Journal: Int J Biol Sci ISSN: 1449-2288 Impact factor: 6.580
Figure 1Geographical distribution of the confirmed cases of COVID-19 in China. Note: the statistical data as of March 19, 2020.
COVID-19 cases-worldwide. Note: the statistical data as of March 19, 2020.
| Continent | Country / Territory / Area | Confirmed cases | Deaths |
|---|---|---|---|
| Africa | Algeria | 73 | 6 |
| Africa | Cameroon | 10 | 0 |
| Africa | Congo | 3 | 0 |
| Africa | Egypt | 196 | 6 |
| Africa | Ethiopia | 6 | 0 |
| Africa | Gabon | 3 | 0 |
| Africa | Ghana | 7 | 0 |
| Africa | Guinea | 1 | 0 |
| Africa | Kenya | 7 | 0 |
| Africa | Mauritania | 1 | 0 |
| Africa | Morocco | 54 | 2 |
| Africa | Namibia | 2 | 0 |
| Africa | Nigeria | 8 | 0 |
| Africa | Rwanda | 11 | 0 |
| Africa | Senegal | 36 | 0 |
| Africa | Seychelles | 6 | 0 |
| Africa | Sudan | 2 | 1 |
| Africa | Togo | 1 | 0 |
| Africa | Tunisia | 29 | 0 |
| Africa | Eswatini | 1 | 0 |
| Africa | Benin | 1 | 0 |
| Africa | Liberia | 2 | 0 |
| Africa | Somalia | 1 | 0 |
| Africa | Burkina Faso | 26 | 1 |
| Africa | Central African Republic | 1 | 0 |
| Africa | Cote dIvoire | 6 | 0 |
| Africa | Democratic Republic of the Congo | 14 | 0 |
| Africa | Equatorial Guinea | 3 | 0 |
| Africa | South Africa | 116 | 0 |
| Africa | United Republic of Tanzania | 3 | 0 |
| Africa | Gambia | 1 | 0 |
| Africa | Djibouti | 1 | 0 |
| Africa | Zambia | 2 | 0 |
| America | Argentina | 97 | 2 |
| America | Bahamas | 1 | 0 |
| America | Bolivia | 12 | 0 |
| America | Brazil | 428 | 4 |
| America | Canada | 690 | 9 |
| America | Chile | 238 | 0 |
| America | Colombia | 102 | 0 |
| America | Cuba | 11 | 1 |
| America | Ecuador | 168 | 3 |
| America | Guatemala | 8 | 1 |
| America | Guyana | 5 | 1 |
| America | Honduras | 12 | 0 |
| America | Jamaica | 15 | 0 |
| America | Mexico | 118 | 0 |
| America | Panama | 109 | 1 |
| America | Paraguay | 11 | 0 |
| America | Peru | 145 | 0 |
| America | Suriname | 1 | 0 |
| America | Uruguay | 79 | 0 |
| America | Venezuela | 33 | 0 |
| America | Antigua and Barbuda | 1 | 0 |
| America | Costa Rica | 69 | 1 |
| America | Dominican Republic | 21 | 0 |
| America | Saint Lucia | 2 | 0 |
| America | Saint Vincent and the Grenadines | 1 | 0 |
| America | Trinidad and Tobago | 9 | 0 |
| America | United States of America | 9415 | 150 |
| America | Barbados | 1 | 0 |
| America | El Salvador | 1 | 0 |
| America | Nicaragua | 1 | 0 |
| Asia | Afghanistan | 22 | 0 |
| Asia | Bahrain | 256 | 1 |
| Asia | Bangladesh | 10 | 0 |
| Asia | Bhutan | 1 | 0 |
| Asia | Cambodia | 24 | 0 |
| Asia | China | 81238 | 3250 |
| Asia | India | 165 | 3 |
| Asia | Indonesia | 172 | 5 |
| Asia | Iran | 17361 | 1135 |
| Asia | Iraq | 164 | 12 |
| Asia | Israel | 433 | 0 |
| Asia | Japan | 873 | 29 |
| Asia | Jordan | 52 | 0 |
| Asia | Kazakhstan | 37 | 0 |
| Asia | Kuwait | 142 | 0 |
| Asia | Lebanon | 133 | 4 |
| Asia | Malaysia | 790 | 2 |
| Asia | Maldives | 13 | 0 |
| Asia | Mongolia | 5 | 0 |
| Asia | Nepal | 1 | 0 |
| Asia | Oman | 39 | 0 |
| Asia | Pakistan | 302 | 0 |
| Asia | Palestine | 44 | 0 |
| Asia | Philippines | 202 | 17 |
| Asia | Qatar | 452 | 0 |
| Asia | Singapore | 313 | 0 |
| Asia | Taiwan | 108 | 1 |
| Asia | Thailand | 177 | 1 |
| Asia | Uzbekistan | 23 | 0 |
| Asia | Vietnam | 76 | 0 |
| Asia | Myanmar | 0 | 0 |
| Asia | Brunei Darussalam | 68 | 0 |
| Asia | Saudi Arabia | 171 | 0 |
| Asia | South Korea | 8565 | 91 |
| Asia | Sri Lanka | 42 | 0 |
| Asia | United Arab Emirates | 113 | 0 |
| Asia | Kyrgyzstan | 3 | 0 |
| Europe | Albania | 59 | 2 |
| Europe | Andorra | 53 | 0 |
| Europe | Armenia | 115 | 0 |
| Europe | Austria | 1646 | 4 |
| Europe | Azerbaijan | 34 | 0 |
| Europe | Belarus | 46 | 0 |
| Europe | Belgium | 1486 | 14 |
| Europe | Bulgaria | 92 | 2 |
| Europe | Croatia | 81 | 0 |
| Europe | Cyprus | 58 | 0 |
| Europe | Denmark | 1115 | 4 |
| Europe | Estonia | 258 | 0 |
| Europe | Finland | 369 | 0 |
| Europe | France | 9134 | 244 |
| Europe | Georgia | 34 | 0 |
| Europe | Germany | 8198 | 13 |
| Europe | Greece | 418 | 5 |
| Europe | Hungary | 73 | 1 |
| Europe | Iceland | 250 | 0 |
| Europe | Ireland | 366 | 2 |
| Europe | Italy | 35713 | 2978 |
| Europe | Kosovo | 19 | 0 |
| Europe | Latvia | 71 | 0 |
| Europe | Liechtenstein | 25 | 0 |
| Europe | Lithuania | 33 | 0 |
| Europe | Luxembourg | 210 | 2 |
| Europe | Malta | 48 | 0 |
| Europe | Moldova | 36 | 1 |
| Europe | Monaco | 9 | 0 |
| Europe | Netherlands | 2051 | 58 |
| Europe | Norway | 1423 | 3 |
| Europe | Poland | 287 | 5 |
| Europe | Portugal | 642 | 2 |
| Europe | Romania | 260 | 0 |
| Europe | Russia | 147 | 0 |
| Europe | Serbia | 94 | 0 |
| Europe | Slovakia | 107 | 0 |
| Europe | Slovenia | 286 | 1 |
| Europe | Spain | 13716 | 598 |
| Europe | Sweden | 1301 | 10 |
| Europe | Switzerland | 3010 | 21 |
| Europe | Turkey | 191 | 1 |
| Europe | Ukraine | 19 | 2 |
| Europe | Bosnia and Herzegovina | 36 | 0 |
| Europe | Czech Republic | 522 | 0 |
| Europe | Holy See | 1 | 0 |
| Europe | North Macedonia | 42 | 0 |
| Europe | San Marino | 109 | 14 |
| Europe | United Kingdom | 2630 | 103 |
| Europe | Montenegro | 8 | 0 |
| Oceania | Australia | 565 | 6 |
| Oceania | New Zealand | 28 | 0 |
| Oceania | French Polynesia | 3 | 0 |
| Oceania | Guam | 3 | 0 |
| Other | Cases on an international conveyance Japan | 696 | 7 |
| Total | 213254 | 8843 |
Figure 2Phylogenetic relationship of SARS-CoV-2 with bat SARS-like CoV and SARS-CoV. The full genome sequences of SARS-CoV-2 and SARS-CoV were obtained from the National Center for Biotechnology Information search engine (http://www.ncbi.nim.nih.gov/). The phylogenetic tree was created using the MEGA 5.0 software package and neighbor-joining program (http://www.megasoftware.net) with 1000 boots trapped value support and a Poisson correction. The bootstrap values greater than 50% are given at the nodes. The scale bar shows the phylogenetic range determined from the number of variations. The NCBI GenBank accession numbers of the genome sequences are EU371564.1 (SARS coronavirus BJ182-12), EU371559.1 (SARS coronavirus ZJ02), AY559093.1 (SARS coronavirus Sin845), AY278554.2 (SARS coronavirus CUHK-W1), AY394985.1 (SARS coronavirus HSZ-Bb), AY394994.1 (SARS coronavirus HSZ-Bc), AY394986.1 (SARS coronavirus HSZ-Cb), AY390556.1 (SARS coronavirus GZ02), AY395003.1 (SARS coronavirus ZS-C), AY394996.1 (SARS coronavirus ZS-B), AY304488.1 (SARS coronavirus SZ16), AY304486.1 (SARS coronavirus SZ3), MK211376.1 (Coronavirus BtRs-BetaCoV/YN2018B), MG772933.1 (Coronavirus bat-SL-CoVZC45), MG772934.1 (Coronavirus bat-SL-CoVZXC21), MN975262.1 (2019-nCoV HKU-SZ-005b 2020), MN997409.1 (2019-nCoV/USA-AZ1/2020), MN938384.1 (2019-nCoV HKU-SZ-002a 2020), MN985325.1 (2019-nCoV/USA-WA1/2020), NC_045512.2 (Wuhan-Hu-1), MN988669.1 (2019-nCoV WHU02), MN988668.1 (2019-nCoV WHU01), MN988713.1 (2019-nCoV/USA-IL1/2020), MN994468.1 (2019-nCoV/USA-CA2/2020), and MN994467.1 (2019-nCoV/USA-CA1/2020).
Physicochemical Parameters of SARS-CoV-2.
| Parameters | SARS-CoV-2 |
|---|---|
| Molecular Weight | 1069577.59 Da |
| Number of amino acids | 9194 |
| Theoretical pI | 9.02 |
| Instability index (II) | 43.95 (unstable) |
| Number of Negatively Charged Residues (Asp + Glu) | 560 |
| Number of Positively Charged Residues (Arg + Lys) | 971 |
| Aliphatic Index | 77.44 |
| Estimated half-life | 20 hours (mammalian reticulocytes, |
| Grand average of Hydropathicity (GRAVY) | -0.087 |
Figure 3The difference between COVID-19 (SARS-CoV-2) and flu, common cold symptoms.
Figure 4SARS-CoV-2 particles in ultrathin sections of human airway epithelial cells.
Figure 5Suggested therapeutic agents that can be utilized to prevent SARS-CoV-2 from infecting cells. Target cells expressing ACE2 involve human lung and gastrointestinal tissues. The huge spike protein on the surface of SARS-CoV-2 binds to ACE2 on the infected cell, making the cell to enter. The three suggested procedures would prevent this interaction and thus eliminate the infection. First, the receptor-binding domain (RBD) of the spike protein from SARS-CoV or SARS-CoV-2 will be applied to bind ACE2 and saturate the unoccupied sites. Second, an antibody or a single-chain antibody fragment (scFv) can be applied to ACE2 for the same purpose. The third procedure is to use ACE2 cell outfield directly as bait to bind spike proteins and immediately target coronavirus virions. The Fc domain combined with ACE2 will promote the prolonged cycle of the organism (ACE2-Fc).