Time for T? Immunoinformatics addresses vaccine design for neglected tropical and emerging infectious diseases.
Identifieur interne : 001302 ( PubMed/Checkpoint ); précédent : 001301; suivant : 001303Time for T? Immunoinformatics addresses vaccine design for neglected tropical and emerging infectious diseases.
Auteurs : Frances E. Terry [États-Unis] ; Leonard Moise ; Rebecca F. Martin ; Melissa Torres ; Nils Pilotte ; Steven A. Williams ; Anne S. De GrootSource :
- Expert review of vaccines [ 1744-8395 ] ; 2015.
Descripteurs français
- KwdFr :
- MESH :
- génétique : Vaccins.
- immunologie : Maladies négligées, Vaccins.
- isolement et purification : Vaccins.
- épidémiologie : Maladies transmissibles émergentes.
- Biologie informatique, Climat tropical, Génomique, Humains, Maladies négligées, Maladies transmissibles émergentes.
English descriptors
- KwdEn :
- Communicable Diseases, Emerging (epidemiology), Communicable Diseases, Emerging (prevention & control), Computational Biology (methods), Genomics (methods), Humans, Neglected Diseases (immunology), Neglected Diseases (prevention & control), Tropical Climate, Vaccines (genetics), Vaccines (immunology), Vaccines (isolation & purification).
- MESH :
- chemical , genetics : Vaccines.
- epidemiology : Communicable Diseases, Emerging.
- immunology : Neglected Diseases, Vaccines.
- chemical , isolation & purification : Vaccines.
- methods : Computational Biology, Genomics.
- prevention & control : Communicable Diseases, Emerging, Neglected Diseases.
- Humans, Tropical Climate.
Abstract
Vaccines have been invaluable for global health, saving lives and reducing healthcare costs, while also raising the quality of human life. However, newly emerging infectious diseases (EID) and more well-established tropical disease pathogens present complex challenges to vaccine developers; in particular, neglected tropical diseases, which are most prevalent among the world's poorest, include many pathogens with large sizes, multistage life cycles and a variety of nonhuman vectors. EID such as MERS-CoV and H7N9 are highly pathogenic for humans. For many of these pathogens, while their genomes are available, immune correlates of protection are currently unknown. These complexities make developing vaccines for EID and neglected tropical diseases all the more difficult. In this review, we describe the implementation of an immunoinformatics-driven approach to systematically search for key determinants of immunity in newly available genome sequence data and design vaccines. This approach holds promise for the development of 21st century vaccines, improving human health everywhere.
DOI: 10.1586/14760584.2015.955478
PubMed: 25193104
Affiliations:
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Immunoinformatics addresses vaccine design for neglected tropical and emerging infectious diseases.</title><author><name sortKey="Terry, Frances E" sort="Terry, Frances E" uniqKey="Terry F" first="Frances E" last="Terry">Frances E. Terry</name><affiliation wicri:level="2"><nlm:affiliation>EpiVax, Inc., 146 Clifford St, Providence, RI 02903, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>EpiVax, Inc., 146 Clifford St, Providence, RI 02903</wicri:regionArea><placeName><region type="state">Rhode Island</region></placeName></affiliation></author><author><name sortKey="Moise, Leonard" sort="Moise, Leonard" uniqKey="Moise L" first="Leonard" last="Moise">Leonard Moise</name></author><author><name sortKey="Martin, Rebecca F" sort="Martin, Rebecca F" uniqKey="Martin R" first="Rebecca F" last="Martin">Rebecca F. 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De Groot</name></author></analytic><series><title level="j">Expert review of vaccines</title><idno type="eISSN">1744-8395</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Communicable Diseases, Emerging (epidemiology)</term><term>Communicable Diseases, Emerging (prevention & control)</term><term>Computational Biology (methods)</term><term>Genomics (methods)</term><term>Humans</term><term>Neglected Diseases (immunology)</term><term>Neglected Diseases (prevention & control)</term><term>Tropical Climate</term><term>Vaccines (genetics)</term><term>Vaccines (immunology)</term><term>Vaccines (isolation & purification)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Biologie informatique ()</term><term>Climat tropical</term><term>Génomique ()</term><term>Humains</term><term>Maladies négligées ()</term><term>Maladies négligées (immunologie)</term><term>Maladies transmissibles émergentes ()</term><term>Maladies transmissibles émergentes (épidémiologie)</term><term>Vaccins (génétique)</term><term>Vaccins (immunologie)</term><term>Vaccins (isolement et purification)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="genetics" xml:lang="en"><term>Vaccines</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Communicable Diseases, Emerging</term></keywords><keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Vaccins</term></keywords><keywords scheme="MESH" qualifier="immunologie" xml:lang="fr"><term>Maladies négligées</term><term>Vaccins</term></keywords><keywords scheme="MESH" qualifier="immunology" xml:lang="en"><term>Neglected Diseases</term><term>Vaccines</term></keywords><keywords scheme="MESH" type="chemical" qualifier="isolation & purification" xml:lang="en"><term>Vaccines</term></keywords><keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr"><term>Vaccins</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Computational Biology</term><term>Genomics</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Communicable Diseases, Emerging</term><term>Neglected Diseases</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Maladies transmissibles émergentes</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Humans</term><term>Tropical Climate</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Biologie informatique</term><term>Climat tropical</term><term>Génomique</term><term>Humains</term><term>Maladies négligées</term><term>Maladies transmissibles émergentes</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Vaccines have been invaluable for global health, saving lives and reducing healthcare costs, while also raising the quality of human life. However, newly emerging infectious diseases (EID) and more well-established tropical disease pathogens present complex challenges to vaccine developers; in particular, neglected tropical diseases, which are most prevalent among the world's poorest, include many pathogens with large sizes, multistage life cycles and a variety of nonhuman vectors. EID such as MERS-CoV and H7N9 are highly pathogenic for humans. For many of these pathogens, while their genomes are available, immune correlates of protection are currently unknown. These complexities make developing vaccines for EID and neglected tropical diseases all the more difficult. In this review, we describe the implementation of an immunoinformatics-driven approach to systematically search for key determinants of immunity in newly available genome sequence data and design vaccines. This approach holds promise for the development of 21st century vaccines, improving human health everywhere. </div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">25193104</PMID><DateCompleted><Year>2015</Year><Month>08</Month><Day>04</Day></DateCompleted><DateRevised><Year>2020</Year><Month>04</Month><Day>01</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1744-8395</ISSN><JournalIssue CitedMedium="Internet"><Volume>14</Volume><Issue>1</Issue><PubDate><Year>2015</Year><Month>Jan</Month></PubDate></JournalIssue><Title>Expert review of vaccines</Title><ISOAbbreviation>Expert Rev Vaccines</ISOAbbreviation></Journal><ArticleTitle>Time for T? Immunoinformatics addresses vaccine design for neglected tropical and emerging infectious diseases.</ArticleTitle><Pagination><MedlinePgn>21-35</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1586/14760584.2015.955478</ELocationID><Abstract><AbstractText>Vaccines have been invaluable for global health, saving lives and reducing healthcare costs, while also raising the quality of human life. However, newly emerging infectious diseases (EID) and more well-established tropical disease pathogens present complex challenges to vaccine developers; in particular, neglected tropical diseases, which are most prevalent among the world's poorest, include many pathogens with large sizes, multistage life cycles and a variety of nonhuman vectors. EID such as MERS-CoV and H7N9 are highly pathogenic for humans. For many of these pathogens, while their genomes are available, immune correlates of protection are currently unknown. These complexities make developing vaccines for EID and neglected tropical diseases all the more difficult. In this review, we describe the implementation of an immunoinformatics-driven approach to systematically search for key determinants of immunity in newly available genome sequence data and design vaccines. 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S</ForeName><Initials>AS</Initials></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>U19 AI082642</GrantID><Acronym>AI</Acronym><Agency>NIAID NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D057666">Research Support, American Recovery and Reinvestment Act</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType><PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType><PublicationType UI="D016454">Review</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>09</Month><Day>05</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Expert Rev 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