Serveur d'exploration MERS

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Enhanced Ability of Oligomeric Nanobodies Targeting MERS Coronavirus Receptor-Binding Domain

Identifieur interne : 000327 ( Pmc/Checkpoint ); précédent : 000326; suivant : 000328

Enhanced Ability of Oligomeric Nanobodies Targeting MERS Coronavirus Receptor-Binding Domain

Auteurs : Lei He ; Wanbo Tai ; Jiangfan Li ; Yuehong Chen ; Yaning Gao ; Junfeng Li ; Shihui Sun ; Yusen Zhou [République populaire de Chine] ; Lanying Du ; Guangyu Zhao

Source :

RBID : PMC:6410414

Abstract

Middle East respiratory syndrome (MERS) coronavirus (MERS-CoV), an infectious coronavirus first reported in 2012, has a mortality rate greater than 35%. Therapeutic antibodies are key tools for preventing and treating MERS-CoV infection, but to date no such agents have been approved for treatment of this virus. Nanobodies (Nbs) are camelid heavy chain variable domains with properties distinct from those of conventional antibodies and antibody fragments. We generated two oligomeric Nbs by linking two or three monomeric Nbs (Mono-Nbs) targeting the MERS-CoV receptor-binding domain (RBD), and compared their RBD-binding affinity, RBD–receptor binding inhibition, stability, and neutralizing and cross-neutralizing activity against MERS-CoV. Relative to Mono-Nb, dimeric Nb (Di-Nb) and trimeric Nb (Tri-Nb) had significantly greater ability to bind MERS-CoV RBD proteins with or without mutations in the RBD, thereby potently blocking RBD–MERS-CoV receptor binding. The engineered oligomeric Nbs were very stable under extreme conditions, including low or high pH, protease (pepsin), chaotropic denaturant (urea), and high temperature. Importantly, Di-Nb and Tri-Nb exerted significantly elevated broad-spectrum neutralizing activity against at least 19 human and camel MERS-CoV strains isolated in different countries and years. Overall, the engineered Nbs could be developed into effective therapeutic agents for prevention and treatment of MERS-CoV infection.


Url:
DOI: 10.3390/v11020166
PubMed: 30791410
PubMed Central: 6410414


Affiliations:


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PMC:6410414

Le document en format XML

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<email>anatee@163.com</email>
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<email>anatee@163.com</email>
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(L.H.);
<email>anatee@163.com</email>
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<name sortKey="Du, Lanying" sort="Du, Lanying" uniqKey="Du L" first="Lanying" last="Du">Lanying Du</name>
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<nlm:aff id="af2-viruses-11-00166">Lindsley F. Kimball Research Institute, New York Blood Center, New York, NY 10065, USA;
<email>wtai@nybc.org</email>
(W.T.);
<email>ygao@nybc.org</email>
(Y.G.)</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Zhao, Guangyu" sort="Zhao, Guangyu" uniqKey="Zhao G" first="Guangyu" last="Zhao">Guangyu Zhao</name>
<affiliation>
<nlm:aff id="af1-viruses-11-00166">State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China;
<email>helei_happy@126.com</email>
(L.H.);
<email>anatee@163.com</email>
(J.L.);
<email>chenyuehong.happy@163.com</email>
(Y.C.);
<email>lijunfeng2113@126.com</email>
(J.L.);
<email>sunsh01@163.com</email>
(S.S.)</nlm:aff>
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<p>Middle East respiratory syndrome (MERS) coronavirus (MERS-CoV), an infectious coronavirus first reported in 2012, has a mortality rate greater than 35%. Therapeutic antibodies are key tools for preventing and treating MERS-CoV infection, but to date no such agents have been approved for treatment of this virus. Nanobodies (Nbs) are camelid heavy chain variable domains with properties distinct from those of conventional antibodies and antibody fragments. We generated two oligomeric Nbs by linking two or three monomeric Nbs (Mono-Nbs) targeting the MERS-CoV receptor-binding domain (RBD), and compared their RBD-binding affinity, RBD–receptor binding inhibition, stability, and neutralizing and cross-neutralizing activity against MERS-CoV. Relative to Mono-Nb, dimeric Nb (Di-Nb) and trimeric Nb (Tri-Nb) had significantly greater ability to bind MERS-CoV RBD proteins with or without mutations in the RBD, thereby potently blocking RBD–MERS-CoV receptor binding. The engineered oligomeric Nbs were very stable under extreme conditions, including low or high pH, protease (pepsin), chaotropic denaturant (urea), and high temperature. Importantly, Di-Nb and Tri-Nb exerted significantly elevated broad-spectrum neutralizing activity against at least 19 human and camel MERS-CoV strains isolated in different countries and years. Overall, the engineered Nbs could be developed into effective therapeutic agents for prevention and treatment of MERS-CoV infection.</p>
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<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Viruses</journal-id>
<journal-id journal-id-type="iso-abbrev">Viruses</journal-id>
<journal-id journal-id-type="publisher-id">viruses</journal-id>
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<issn pub-type="epub">1999-4915</issn>
<publisher>
<publisher-name>MDPI</publisher-name>
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<article-meta>
<article-id pub-id-type="pmid">30791410</article-id>
<article-id pub-id-type="pmc">6410414</article-id>
<article-id pub-id-type="doi">10.3390/v11020166</article-id>
<article-id pub-id-type="publisher-id">viruses-11-00166</article-id>
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<xref ref-type="aff" rid="af1-viruses-11-00166">1</xref>
<xref ref-type="aff" rid="af3-viruses-11-00166">3</xref>
<xref rid="c1-viruses-11-00166" ref-type="corresp">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Du</surname>
<given-names>Lanying</given-names>
</name>
<xref ref-type="aff" rid="af2-viruses-11-00166">2</xref>
<xref rid="c1-viruses-11-00166" ref-type="corresp">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Guangyu</given-names>
</name>
<xref ref-type="aff" rid="af1-viruses-11-00166">1</xref>
<xref rid="c1-viruses-11-00166" ref-type="corresp">*</xref>
</contrib>
</contrib-group>
<aff id="af1-viruses-11-00166">
<label>1</label>
State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China;
<email>helei_happy@126.com</email>
(L.H.);
<email>anatee@163.com</email>
(J.L.);
<email>chenyuehong.happy@163.com</email>
(Y.C.);
<email>lijunfeng2113@126.com</email>
(J.L.);
<email>sunsh01@163.com</email>
(S.S.)</aff>
<aff id="af2-viruses-11-00166">
<label>2</label>
Lindsley F. Kimball Research Institute, New York Blood Center, New York, NY 10065, USA;
<email>wtai@nybc.org</email>
(W.T.);
<email>ygao@nybc.org</email>
(Y.G.)</aff>
<aff id="af3-viruses-11-00166">
<label>3</label>
Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450052, China</aff>
<author-notes>
<corresp id="c1-viruses-11-00166">
<label>*</label>
Correspondence:
<email>yszhou@bmi.ac.cn</email>
(Y.Z.);
<email>ldu@nybc.org</email>
(L.D.);
<email>zhaogy@bmi.ac.cn</email>
(G.Z.); Tel.: +1-212-570-3459 (L.D.); +86-10-6385-8045 (Y.Z. & G.Z.)</corresp>
<fn id="fn1-viruses-11-00166">
<label></label>
<p>These authors contributed equally to this work.</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>2</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="collection">
<month>2</month>
<year>2019</year>
</pub-date>
<volume>11</volume>
<issue>2</issue>
<elocation-id>166</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>1</month>
<year>2019</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>2</month>
<year>2019</year>
</date>
</history>
<permissions>
<copyright-statement>© 2019 by the authors.</copyright-statement>
<copyright-year>2019</copyright-year>
<license license-type="open-access">
<license-p>Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</ext-link>
).</license-p>
</license>
</permissions>
<abstract>
<p>Middle East respiratory syndrome (MERS) coronavirus (MERS-CoV), an infectious coronavirus first reported in 2012, has a mortality rate greater than 35%. Therapeutic antibodies are key tools for preventing and treating MERS-CoV infection, but to date no such agents have been approved for treatment of this virus. Nanobodies (Nbs) are camelid heavy chain variable domains with properties distinct from those of conventional antibodies and antibody fragments. We generated two oligomeric Nbs by linking two or three monomeric Nbs (Mono-Nbs) targeting the MERS-CoV receptor-binding domain (RBD), and compared their RBD-binding affinity, RBD–receptor binding inhibition, stability, and neutralizing and cross-neutralizing activity against MERS-CoV. Relative to Mono-Nb, dimeric Nb (Di-Nb) and trimeric Nb (Tri-Nb) had significantly greater ability to bind MERS-CoV RBD proteins with or without mutations in the RBD, thereby potently blocking RBD–MERS-CoV receptor binding. The engineered oligomeric Nbs were very stable under extreme conditions, including low or high pH, protease (pepsin), chaotropic denaturant (urea), and high temperature. Importantly, Di-Nb and Tri-Nb exerted significantly elevated broad-spectrum neutralizing activity against at least 19 human and camel MERS-CoV strains isolated in different countries and years. Overall, the engineered Nbs could be developed into effective therapeutic agents for prevention and treatment of MERS-CoV infection.</p>
</abstract>
<kwd-group>
<kwd>Coronavirus</kwd>
<kwd>MERS-CoV</kwd>
<kwd>receptor-binding domain</kwd>
<kwd>therapeutic antibodies</kwd>
<kwd>nanobodies</kwd>
<kwd>cross-neutralization</kwd>
</kwd-group>
</article-meta>
</front>
<floats-group>
<fig id="viruses-11-00166-f001" orientation="portrait" position="float">
<label>Figure 1</label>
<caption>
<p>Construction and characterization of dimeric and trimeric nanobodies (Nbs) targeting the Middle East respiratory syndrome (MERS) coronavirus (MERS-CoV). (
<bold>A</bold>
) Heavy chain-only antibody (HcAb) consists of two constant heavy domains (CH2 and CH3) and heavy chain variable domains (VHHs). Monomeric Nb (Mono-Nb) was constructed previously by linking a MERS-CoV receptor-binding domain (RBD)-specific VHH and a C-terminal His
<sub>6</sub>
, and dimeric Nb (Di-Nb) and trimeric Nb (Tri-Nb) were constructed by linking two or three Mono-Nbs with GGGGS linkers and a C-terminal His
<sub>6</sub>
tag for easy purification. (
<bold>B</bold>
) SDS-PAGE (left) and Western blot (right) analysis of MERS-CoV RBD-specific Nbs. The molecular weight marker (in kDa) is shown on the left. MERS-CoV RBD-targeting Mono-Nb was included as comparison, and MERS-CoV RBD-specific mAb (MERS mAb) and SARS-CoV RBD-specific mAb (SARS mAb) were used as controls. Anti-llama antibody was used for Western blot analysis.</p>
</caption>
<graphic xlink:href="viruses-11-00166-g001"></graphic>
</fig>
<fig id="viruses-11-00166-f002" orientation="portrait" position="float">
<label>Figure 2</label>
<caption>
<p>Detection of binding between MERS-CoV RBD-specific Nbs and MERS-CoV RBD proteins. (
<bold>A</bold>
) ELISA for binding between Di-Nb or Tri-Nb and RBD wild-type (RBD-WT) protein of the EMC2012 strain and mutant proteins containing RBD mutations from strains isolated from human and camel in 2012, 2013, 2014, and 2015. MERS-CoV RBD-targeting Mono-Nb was used for comparison, and MERS-CoV RBD-specific mAb (MERS mAb) and SARS-CoV RBD-specific mAb (SARS mAb) were included as controls. Data are presented as mean A450 ± standard error (s.e.m.) (
<italic>n</italic>
= 2). Experiments were repeated twice, yielding similar results. Significant differences in median effective concentration (EC
<sub>50</sub>
) ± s.e.m. were observed between Di-Nb and Mono-Nb, as well as between Tri-Nb and Mono-Nb, indicated by red and green asterisk (*, **, and ***), respectively. Concentration (in nM) was calculated based on predicted molecular weights of 16, 32, 48, and 150 kDa for Mono-Nb, Di-Nb, Tri-Nb, and mAb, respectively. (
<bold>B</bold>
) Surface Plasmon Resonance (SPR) analysis of binding between Di-Nb or Tri-Nb and RBD protein (i.e., RBD-WT). MERS-CoV RBD-targeting Mono-Nb was used for comparison. Binding parameters are shown in each figure.</p>
</caption>
<graphic xlink:href="viruses-11-00166-g002"></graphic>
</fig>
<fig id="viruses-11-00166-f003" orientation="portrait" position="float">
<label>Figure 3</label>
<caption>
<p>Detection of the neutralizing activity of MERS-CoV RBD-specific Nbs and their inhibition of RBD–DPP4 binding. (
<bold>A</bold>
) Neutralizing activity of Di-Nb and Tri-Nb against the prototypic MERS-CoV (EMC2012 strain). The neutralizing activity of the Nbs is expressed as the Nb concentration (nM) that completely inhibited the cytopathic effect (CPE) of MERS-CoV in at least 50% of the wells (50% neutralization dose: ND
<sub>50</sub>
). Data are expressed as mean ND
<sub>50</sub>
± s.e.m. (
<italic>n</italic>
= 3). (
<bold>B</bold>
) Inhibition of binding between Di-Nb or Tri-Nb and hDPP4 protein, as determined by ELISA. Percentage inhibition is expressed as RBD–hDPP4 binding in the presence or absence of Nbs based on the formula (1 – [RBD–hDPP4-Nb]/[RBD–hDPP4]) × 100. Data are presented as mean percentage inhibition ± s.e.m. (
<italic>n</italic>
= 2). (
<bold>C</bold>
) Inhibition of binding between Di-Nb or Tri-Nb and hDPP4-expressing Huh-7 cells, as determined by flow cytometry analysis. Percentage inhibition is expressed as RBD–Huh-7 binding in the presence or absence of Nbs, which is calculated based on the formula (1–[RBD–Huh-7–Nb]/[RBD–Huh-7]) × 100. Data are presented as mean percentage inhibition ± s.e.m. (
<italic>n</italic>
= 2). For (
<bold>A</bold>
)–(
<bold>C</bold>
), MERS-CoV RBD-targeting Mono-Nb was used for comparison, and MERS mAb and SARS mAb were included as controls. Experiments were repeated twice, yielding similar results. Significant differences among groups were compared by ND
<sub>50</sub>
± s.e.m. (
<bold>A</bold>
) or median inhibitory concentration (IC
<sub>50</sub>
) ± s.e.m. (
<bold>A</bold>
,
<bold>C</bold>
). Significant differences between Di-Nb and Mono-Nb are shown as red asterisk, and those between Tri-Nb and Mono-Nb are shown as green asterisk (** and ***).</p>
</caption>
<graphic xlink:href="viruses-11-00166-g003"></graphic>
</fig>
<table-wrap id="viruses-11-00166-t001" orientation="portrait" position="float">
<object-id pub-id-type="pii">viruses-11-00166-t001_Table 1</object-id>
<label>Table 1</label>
<caption>
<p>Stability of MERS-CoV RBD-specific Nbs against extreme conditions.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2" align="left" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">Conditions</th>
<th rowspan="2" align="left" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">Treatment</th>
<th colspan="5" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" rowspan="1">ND
<sub>50</sub>
(nM, Mean Value)</th>
</tr>
<tr>
<th align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Mono-Nb</th>
<th align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Di-Nb</th>
<th align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Tri-Nb</th>
<th align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">MERS mAb</th>
<th align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">SARS mAb</th>
</tr>
</thead>
<tbody>
<tr>
<td rowspan="4" align="left" valign="top" style="border-bottom:solid thin" colspan="1">pH</td>
<td align="left" valign="middle" rowspan="1" colspan="1">pH 5.0</td>
<td align="left" valign="middle" rowspan="1" colspan="1">1.94</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.21</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.03</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.53</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">pH 7.0</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2.00</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.21</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.03</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.57</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">pH 8.0</td>
<td align="left" valign="middle" rowspan="1" colspan="1">1.93</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.21</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.03</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.53</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">No treatment</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">2.00</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.23</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.03</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.56</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td rowspan="4" align="left" valign="top" style="border-bottom:solid thin" colspan="1">Pepsin</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0 µg/mL</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2.23</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.29</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.04</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.56</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">25 µg/mL</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2.24</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.27</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.04</td>
<td align="left" valign="middle" rowspan="1" colspan="1">1.19 **</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">625 µg/mL</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2.20</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.26</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.04</td>
<td align="left" valign="middle" rowspan="1" colspan="1">1.86 **</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">No treatment</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">2.15</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.24</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.04</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.55</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td rowspan="4" align="left" valign="top" style="border-bottom:solid thin" colspan="1">Urea</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0 mM</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2.27</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.25</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.04</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.56</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">50 mM</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2.01</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.29</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.04</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.85 **</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">400 mM</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2.18</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.25</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.03</td>
<td align="left" valign="middle" rowspan="1" colspan="1">1.46 **</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">No treatment</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">2.19</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.25</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.04</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.54</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td rowspan="4" align="left" valign="top" style="border-bottom:solid thin" colspan="1">Temperature</td>
<td align="left" valign="middle" rowspan="1" colspan="1">4 °C</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2.06</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.25</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.03</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.56</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">37 °C</td>
<td align="left" valign="middle" rowspan="1" colspan="1">1.80</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.22</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.04</td>
<td align="left" valign="middle" rowspan="1" colspan="1">1.32 **</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">60 °C</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2.21</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.26</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.03</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2.06 ***</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">No treatment</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">2.17</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.26</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.04</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.58</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">ND</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Note: Nbs were tested for stability under extreme conditions, including pH, protease (pepsin), chaotropic agent (urea), and temperature. Nbs were treated at different pH values (pH 5.0, 7.0, and 8.0) for 24 h at room temperature, the indicated concentrations of pepsin for 1 h at 37 °C or urea for 24 h at 25 °C, and different temperatures (4 °C, 37 °C, and 60 °C) for 24 h, followed by measurement of their neutralizing activity against pseudotyped MERS-CoV (EMC2012 strain) infection. Neutralizing activity of Nbs is expressed as mean 50% neutralization dose (ND
<sub>50</sub>
) (
<italic>n</italic>
= 2). Experiments were repeated twice, yielding similar results. MERS mAb and SARS mAb were used as controls. Significant differences between treatment and no-treatment groups under each condition were compared by mean ND
<sub>50</sub>
± s.e.m. *, **, and *** indicate the level of significance of the differences between MERS mAb, with or without treatment under the indicated conditions. ND, not detectable.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="viruses-11-00166-t002" orientation="portrait" position="float">
<object-id pub-id-type="pii">viruses-11-00166-t002_Table 2</object-id>
<label>Table 2</label>
<caption>
<p>Source of divergent MERS-CoV strains and cross-neutralizing activity of MERS-CoV RBD-specific Nbs against these strains.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2" align="left" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">Accession
<break></break>
No.</th>
<th rowspan="2" align="left" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">Isolate Year</th>
<th rowspan="2" align="left" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">Host</th>
<th rowspan="2" align="left" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">Country</th>
<th rowspan="2" align="left" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">S Protein
<break></break>
RBD Mutation(s)</th>
<th colspan="5" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" rowspan="1">ND50 (nM, Mean Value)</th>
</tr>
<tr>
<th align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Mono-Nb</th>
<th align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Di-Nb</th>
<th align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Tri-Nb</th>
<th align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">MERS mAb</th>
<th align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">SARS mAb</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">AFS88936</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2012</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Human</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Saudi Arabia</td>
<td align="left" valign="middle" rowspan="1" colspan="1"></td>
<td align="left" valign="middle" rowspan="1" colspan="1">2.14</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.24 **</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.03 **</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.57</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">AGV08379</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2012</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Human</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Saudi Arabia</td>
<td align="left" valign="middle" rowspan="1" colspan="1">D509G</td>
<td align="left" valign="middle" rowspan="1" colspan="1">3.39</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.19 ***</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.06 ***</td>
<td align="left" valign="middle" rowspan="1" colspan="1">122</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">AGV08584</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2012</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Human</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Saudi Arabia</td>
<td align="left" valign="middle" rowspan="1" colspan="1">V534A</td>
<td align="left" valign="middle" rowspan="1" colspan="1">6.64</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.38 *</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.08 *</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2.02</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">AFY13307</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2012</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Human</td>
<td align="left" valign="middle" rowspan="1" colspan="1">UK</td>
<td align="left" valign="middle" rowspan="1" colspan="1">L506F</td>
<td align="left" valign="middle" rowspan="1" colspan="1">27.1</td>
<td align="left" valign="middle" rowspan="1" colspan="1">3.29 ***</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.37 ***</td>
<td align="left" valign="middle" rowspan="1" colspan="1">67.5</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">AHI48528</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2013</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Human</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Saudi Arabia</td>
<td align="left" valign="middle" rowspan="1" colspan="1">A431P, A482V</td>
<td align="left" valign="middle" rowspan="1" colspan="1">1.10</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.10 ***</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.02 ***</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.52</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">AHI48733</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2013</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Human</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Saudi Arabia</td>
<td align="left" valign="middle" rowspan="1" colspan="1">A434V</td>
<td align="left" valign="middle" rowspan="1" colspan="1">6.67</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.11 *</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.05 *</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2.11</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">AHC74088</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2013</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Human</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Qatar</td>
<td align="left" valign="middle" rowspan="1" colspan="1">S460F</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2.57</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.26 **</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.04 **</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.50</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">AKM76239</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2013</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Human</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Oman</td>
<td align="left" valign="middle" rowspan="1" colspan="1">V514L</td>
<td align="left" valign="middle" rowspan="1" colspan="1">9.07</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.95 *</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.09 **</td>
<td align="left" valign="middle" rowspan="1" colspan="1">3.65</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">AID55090</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2014</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Human</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Saudi Arabia</td>
<td align="left" valign="middle" rowspan="1" colspan="1">T424I</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.81</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.07 **</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.01 **</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.80</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">AID55087</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2014</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Human</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Saudi Arabia</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Q522H</td>
<td align="left" valign="middle" rowspan="1" colspan="1">1.49</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.09 ***</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.02 ***</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.28</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">ALX27228</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2014</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Human</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Jordan</td>
<td align="left" valign="middle" rowspan="1" colspan="1">E536K</td>
<td align="left" valign="middle" rowspan="1" colspan="1">14.7</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2.96 **</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.61 **</td>
<td align="left" valign="middle" rowspan="1" colspan="1">5.54</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">ALJ76277</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2014</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Human</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Saudi Arabia</td>
<td align="left" valign="middle" rowspan="1" colspan="1">D537E</td>
<td align="left" valign="middle" rowspan="1" colspan="1">7.30</td>
<td align="left" valign="middle" rowspan="1" colspan="1">1.49 *</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.41 *</td>
<td align="left" valign="middle" rowspan="1" colspan="1">3.02</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">ALJ54518</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2015</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Human</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Saudi Arabia</td>
<td align="left" valign="middle" rowspan="1" colspan="1">L507P</td>
<td align="left" valign="middle" rowspan="1" colspan="1">13.1</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2.76 ***</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.43 ***</td>
<td align="left" valign="middle" rowspan="1" colspan="1">186</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">ALB08322</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2015</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Human</td>
<td align="left" valign="middle" rowspan="1" colspan="1">South Korea</td>
<td align="left" valign="middle" rowspan="1" colspan="1">D510G</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2.28</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.23 *</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.04 **</td>
<td align="left" valign="middle" rowspan="1" colspan="1">8.92</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">ALB08289</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2015</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Human</td>
<td align="left" valign="middle" rowspan="1" colspan="1">South Korea</td>
<td align="left" valign="middle" rowspan="1" colspan="1">I529T</td>
<td align="left" valign="middle" rowspan="1" colspan="1">3.77</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.24 ***</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.08 ***</td>
<td align="left" valign="middle" rowspan="1" colspan="1">865</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">ATG84888</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2016</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Human</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Saudi Arabia</td>
<td align="left" valign="middle" rowspan="1" colspan="1">S426R</td>
<td align="left" valign="middle" rowspan="1" colspan="1">12.6</td>
<td align="left" valign="middle" rowspan="1" colspan="1">1.60 **</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.34 ***</td>
<td align="left" valign="middle" rowspan="1" colspan="1">15.6</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">AHY22545</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2013</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Camel</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Saudi Arabia</td>
<td align="left" valign="middle" rowspan="1" colspan="1">K400N</td>
<td align="left" valign="middle" rowspan="1" colspan="1">1.77</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.20 ***</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.02 ***</td>
<td align="left" valign="middle" rowspan="1" colspan="1">1.12</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1">AHY22555</td>
<td align="left" valign="middle" rowspan="1" colspan="1">2013</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Camel</td>
<td align="left" valign="middle" rowspan="1" colspan="1">Saudi Arabia</td>
<td align="left" valign="middle" rowspan="1" colspan="1">A520S</td>
<td align="left" valign="middle" rowspan="1" colspan="1">1.11</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.17 **</td>
<td align="left" valign="middle" rowspan="1" colspan="1">0.08 **</td>
<td align="left" valign="middle" rowspan="1" colspan="1">1.10</td>
<td align="left" valign="middle" rowspan="1" colspan="1">ND</td>
</tr>
<tr>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">ASU90076</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">2015</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Camel</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">UAE</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">S460T</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">6.84</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">1.26 ***</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.26 ***</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">3.36</td>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">ND</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Note: MERS-CoV strains were isolated in human and camel from 2012 to 2016 in different countries. EMC2012 (accession no. AFS88936) is the prototypic MERS-CoV strain. RBD mutations indicate mutant residues in the RBD of S protein of the indicated MERS-CoV isolates. A MERS-CoV neutralization assay was performed to test cross-neutralizing activity of MERS-CoV RBD-specific Nbs against pseudotyped MERS-CoV expressing the S protein of these strains. Neutralizing activity of Nbs is expressed as mean ND
<sub>50</sub>
(
<italic>n</italic>
= 2). Experiments were repeated twice, yielding similar results. MERS mAb and SARS mAb were used as controls. Significant differences between Di-Nb and Mono-Nb, as well as between Tri-Nb and Mono-Nb, were compared by mean ND
<sub>50</sub>
± s.e.m. *, **, and *** indicate the level of significance of the differences between Di-Nb or Tri-Nb and Mono-Nb for the indicated MERS-CoV strains. ND, not detectable.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</pmc>
<affiliations>
<list>
<country>
<li>République populaire de Chine</li>
</country>
</list>
<tree>
<noCountry>
<name sortKey="Chen, Yuehong" sort="Chen, Yuehong" uniqKey="Chen Y" first="Yuehong" last="Chen">Yuehong Chen</name>
<name sortKey="Du, Lanying" sort="Du, Lanying" uniqKey="Du L" first="Lanying" last="Du">Lanying Du</name>
<name sortKey="Gao, Yaning" sort="Gao, Yaning" uniqKey="Gao Y" first="Yaning" last="Gao">Yaning Gao</name>
<name sortKey="He, Lei" sort="He, Lei" uniqKey="He L" first="Lei" last="He">Lei He</name>
<name sortKey="Li, Jiangfan" sort="Li, Jiangfan" uniqKey="Li J" first="Jiangfan" last="Li">Jiangfan Li</name>
<name sortKey="Li, Junfeng" sort="Li, Junfeng" uniqKey="Li J" first="Junfeng" last="Li">Junfeng Li</name>
<name sortKey="Sun, Shihui" sort="Sun, Shihui" uniqKey="Sun S" first="Shihui" last="Sun">Shihui Sun</name>
<name sortKey="Tai, Wanbo" sort="Tai, Wanbo" uniqKey="Tai W" first="Wanbo" last="Tai">Wanbo Tai</name>
<name sortKey="Zhao, Guangyu" sort="Zhao, Guangyu" uniqKey="Zhao G" first="Guangyu" last="Zhao">Guangyu Zhao</name>
</noCountry>
<country name="République populaire de Chine">
<noRegion>
<name sortKey="Zhou, Yusen" sort="Zhou, Yusen" uniqKey="Zhou Y" first="Yusen" last="Zhou">Yusen Zhou</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>

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