Multiepitope-Based Subunit Vaccine Design and Evaluation against Respiratory Syncytial Virus Using Reverse Vaccinology Approach.
Identifieur interne : 000107 ( Main/Exploration ); précédent : 000106; suivant : 000108Multiepitope-Based Subunit Vaccine Design and Evaluation against Respiratory Syncytial Virus Using Reverse Vaccinology Approach.
Auteurs : Muhammad Tahir Ul Qamar [République populaire de Chine] ; Zeeshan Shokat [Pakistan] ; Iqra Muneer [République populaire de Chine] ; Usman Ali Ashfaq [Pakistan] ; Hamna Javed [Pakistan] ; Farooq Anwar [Pakistan] ; Amna Bari [République populaire de Chine] ; Barira Zahid [République populaire de Chine] ; Nazamid Saari [Malaisie]Source :
- Vaccines [ 2076-393X ] ; 2020.
Abstract
Respiratory syncytial virus (RSV) is primarily associated with respiratory disorders globally. Despite the availability of information, there is still no competitive vaccine available for RSV. Therefore, the present study has been designed to develop a multiepitope-based subunit vaccine (MEV) using a reverse vaccinology approach to curb RSV infections. Briefly, two highly antigenic and conserved proteins of RSV (glycoprotein and fusion protein) were selected and potential epitopes of different categories (B-cell and T-cell) were identified from them. Eminently antigenic and overlapping epitopes, which demonstrated strong associations with their respective human leukocyte antigen (HLA) alleles and depicted collective ~70% coverage of the world's populace, were shortlisted. Finally, 282 amino acids long MEV construct was established by connecting 13 major histocompatibility complex (MHC) class-I with two MHC class-II epitopes with appropriate adjuvant and linkers. Adjuvant and linkers were added to increase the immunogenic stimulation of the MEV. Developed MEV was stable, soluble, non-allergenic, non-toxic, flexible and highly antigenic. Furthermore, molecular docking and molecular dynamics (MD) simulations analyses were carried out. Results have shown a firm and robust binding affinity of MEV with human pathogenic toll-like receptor three (TLR3). The computationally mediated immune response of MEV demonstrated increased interferon-γ production, a significant abundance of immunoglobulin and activation of macrophages which are essential for immune-response against RSV. Moreover, MEV codons were optimized and in silico cloning was performed, to ensure its increased expression. These outcomes proposed that the MEV developed in this study will be a significant candidate against RSV to control and prevent RSV-related disorders if further investigated experimentally.
DOI: 10.3390/vaccines8020288
PubMed: 32521680
PubMed Central: PMC7350008
Affiliations:
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wicri:level="1"><nlm:affiliation>Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan.</nlm:affiliation><country xml:lang="fr">Pakistan</country><wicri:regionArea>Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000</wicri:regionArea><wicri:noRegion>Faisalabad 38000</wicri:noRegion></affiliation></author><author><name sortKey="Muneer, Iqra" sort="Muneer, Iqra" uniqKey="Muneer I" first="Iqra" last="Muneer">Iqra Muneer</name><affiliation wicri:level="1"><nlm:affiliation>School of Life Sciences, University of Science and Technology of China, Hefei 230052, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Life Sciences, University of Science and Technology of China, Hefei 230052</wicri:regionArea><placeName><settlement type="city">Hefei</settlement><region type="province">Anhui</region></placeName></affiliation></author><author><name sortKey="Ashfaq, Usman Ali" sort="Ashfaq, Usman Ali" uniqKey="Ashfaq U" first="Usman Ali" last="Ashfaq">Usman Ali Ashfaq</name><affiliation wicri:level="1"><nlm:affiliation>Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan.</nlm:affiliation><country xml:lang="fr">Pakistan</country><wicri:regionArea>Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000</wicri:regionArea><wicri:noRegion>Faisalabad 38000</wicri:noRegion></affiliation></author><author><name sortKey="Javed, Hamna" sort="Javed, Hamna" uniqKey="Javed H" first="Hamna" last="Javed">Hamna Javed</name><affiliation wicri:level="1"><nlm:affiliation>Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan.</nlm:affiliation><country xml:lang="fr">Pakistan</country><wicri:regionArea>Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000</wicri:regionArea><wicri:noRegion>Faisalabad 38000</wicri:noRegion></affiliation></author><author><name sortKey="Anwar, Farooq" sort="Anwar, Farooq" uniqKey="Anwar F" first="Farooq" last="Anwar">Farooq Anwar</name><affiliation wicri:level="1"><nlm:affiliation>Department of Chemistry, University of Sargodha, Sargodha 40100, Pakistan.</nlm:affiliation><country xml:lang="fr">Pakistan</country><wicri:regionArea>Department of Chemistry, University of Sargodha, Sargodha 40100</wicri:regionArea><wicri:noRegion>Sargodha 40100</wicri:noRegion></affiliation></author><author><name sortKey="Bari, Amna" sort="Bari, Amna" uniqKey="Bari A" first="Amna" last="Bari">Amna Bari</name><affiliation wicri:level="1"><nlm:affiliation>Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070</wicri:regionArea><placeName><settlement type="city">Wuhan</settlement><region type="région">Hubei</region></placeName></affiliation></author><author><name sortKey="Zahid, Barira" sort="Zahid, Barira" uniqKey="Zahid B" first="Barira" last="Zahid">Barira Zahid</name><affiliation wicri:level="1"><nlm:affiliation>Key Laboratory of Horticultural Plant Biology (Ministry of Education), Huazhong Agricultural University, Wuhan 430070, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Key Laboratory of Horticultural Plant Biology (Ministry of Education), Huazhong Agricultural University, Wuhan 430070</wicri:regionArea><placeName><settlement type="city">Wuhan</settlement><region type="région">Hubei</region></placeName></affiliation></author><author><name sortKey="Saari, Nazamid" sort="Saari, Nazamid" uniqKey="Saari N" first="Nazamid" last="Saari">Nazamid Saari</name><affiliation wicri:level="1"><nlm:affiliation>Department of Food Science, Faculty of Food Science and Technology, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia.</nlm:affiliation><country xml:lang="fr">Malaisie</country><wicri:regionArea>Department of Food Science, Faculty of Food Science and Technology, Universiti Putra Malaysia, Serdang 43400, Selangor</wicri:regionArea><wicri:noRegion>Selangor</wicri:noRegion></affiliation></author></analytic><series><title level="j">Vaccines</title><idno type="ISSN">2076-393X</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Respiratory syncytial virus (RSV) is primarily associated with respiratory disorders globally. Despite the availability of information, there is still no competitive vaccine available for RSV. Therefore, the present study has been designed to develop a multiepitope-based subunit vaccine (MEV) using a reverse vaccinology approach to curb RSV infections. Briefly, two highly antigenic and conserved proteins of RSV (glycoprotein and fusion protein) were selected and potential epitopes of different categories (B-cell and T-cell) were identified from them. Eminently antigenic and overlapping epitopes, which demonstrated strong associations with their respective human leukocyte antigen (HLA) alleles and depicted collective ~70% coverage of the world's populace, were shortlisted. Finally, 282 amino acids long MEV construct was established by connecting 13 major histocompatibility complex (MHC) class-I with two MHC class-II epitopes with appropriate adjuvant and linkers. Adjuvant and linkers were added to increase the immunogenic stimulation of the MEV. Developed MEV was stable, soluble, non-allergenic, non-toxic, flexible and highly antigenic. Furthermore, molecular docking and molecular dynamics (MD) simulations analyses were carried out. Results have shown a firm and robust binding affinity of MEV with human pathogenic toll-like receptor three (TLR3). The computationally mediated immune response of MEV demonstrated increased interferon-γ production, a significant abundance of immunoglobulin and activation of macrophages which are essential for immune-response against RSV. Moreover, MEV codons were optimized and in silico cloning was performed, to ensure its increased expression. These outcomes proposed that the MEV developed in this study will be a significant candidate against RSV to control and prevent RSV-related disorders if further investigated experimentally.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">32521680</PMID><DateRevised><Year>2020</Year><Month>09</Month><Day>28</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Print">2076-393X</ISSN><JournalIssue CitedMedium="Print"><Volume>8</Volume><Issue>2</Issue><PubDate><Year>2020</Year><Month>Jun</Month><Day>08</Day></PubDate></JournalIssue><Title>Vaccines</Title><ISOAbbreviation>Vaccines (Basel)</ISOAbbreviation></Journal><ArticleTitle>Multiepitope-Based Subunit Vaccine Design and Evaluation against Respiratory Syncytial Virus Using Reverse Vaccinology Approach.</ArticleTitle><ELocationID EIdType="pii" ValidYN="Y">E288</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.3390/vaccines8020288</ELocationID><Abstract><AbstractText>Respiratory syncytial virus (RSV) is primarily associated with respiratory disorders globally. Despite the availability of information, there is still no competitive vaccine available for RSV. Therefore, the present study has been designed to develop a multiepitope-based subunit vaccine (MEV) using a reverse vaccinology approach to curb RSV infections. Briefly, two highly antigenic and conserved proteins of RSV (glycoprotein and fusion protein) were selected and potential epitopes of different categories (B-cell and T-cell) were identified from them. Eminently antigenic and overlapping epitopes, which demonstrated strong associations with their respective human leukocyte antigen (HLA) alleles and depicted collective ~70% coverage of the world's populace, were shortlisted. Finally, 282 amino acids long MEV construct was established by connecting 13 major histocompatibility complex (MHC) class-I with two MHC class-II epitopes with appropriate adjuvant and linkers. Adjuvant and linkers were added to increase the immunogenic stimulation of the MEV. Developed MEV was stable, soluble, non-allergenic, non-toxic, flexible and highly antigenic. Furthermore, molecular docking and molecular dynamics (MD) simulations analyses were carried out. Results have shown a firm and robust binding affinity of MEV with human pathogenic toll-like receptor three (TLR3). The computationally mediated immune response of MEV demonstrated increased interferon-γ production, a significant abundance of immunoglobulin and activation of macrophages which are essential for immune-response against RSV. Moreover, MEV codons were optimized and in silico cloning was performed, to ensure its increased expression. These outcomes proposed that the MEV developed in this study will be a significant candidate against RSV to control and prevent RSV-related disorders if further investigated experimentally.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Tahir Ul Qamar</LastName><ForeName>Muhammad</ForeName><Initials>M</Initials><Identifier Source="ORCID">0000-0003-4832-4250</Identifier><AffiliationInfo><Affiliation>College of Life Science and Technology, Guangxi University, Nanning 530004, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Shokat</LastName><ForeName>Zeeshan</ForeName><Initials>Z</Initials><Identifier Source="ORCID">0000-0003-4861-133X</Identifier><AffiliationInfo><Affiliation>Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Muneer</LastName><ForeName>Iqra</ForeName><Initials>I</Initials><AffiliationInfo><Affiliation>School of Life Sciences, University of Science and Technology of China, Hefei 230052, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ashfaq</LastName><ForeName>Usman Ali</ForeName><Initials>UA</Initials><AffiliationInfo><Affiliation>Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Javed</LastName><ForeName>Hamna</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Anwar</LastName><ForeName>Farooq</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Department of Chemistry, University of Sargodha, Sargodha 40100, Pakistan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bari</LastName><ForeName>Amna</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zahid</LastName><ForeName>Barira</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Key Laboratory of Horticultural Plant Biology (Ministry of Education), Huazhong Agricultural University, Wuhan 430070, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Saari</LastName><ForeName>Nazamid</ForeName><Initials>N</Initials><Identifier Source="ORCID">0000-0002-4185-9415</Identifier><AffiliationInfo><Affiliation>Department of Food Science, Faculty of Food Science and Technology, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>Postdoctoral Research Grant</GrantID><Agency>Guangxi University</Agency><Country></Country></Grant><Grant><GrantID>Research grant</GrantID><Agency>Universiti Putra Malaysia</Agency><Country></Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>06</Month><Day>08</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Vaccines (Basel)</MedlineTA><NlmUniqueID>101629355</NlmUniqueID><ISSNLinking>2076-393X</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Subunit vaccine</Keyword><Keyword MajorTopicYN="N">computational approaches</Keyword><Keyword MajorTopicYN="N">multiepitope-based vaccine</Keyword><Keyword MajorTopicYN="N">respiratory disorders</Keyword><Keyword MajorTopicYN="N">respiratory syncytial virus</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>04</Month><Day>19</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2020</Year><Month>05</Month><Day>12</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>05</Month><Day>15</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>6</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>6</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>6</Month><Day>12</Day><Hour>6</Hour><Minute>1</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32521680</ArticleId><ArticleId IdType="pii">vaccines8020288</ArticleId><ArticleId 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