A bioinformatics approach to identify patients with symptomatic peanut allergy using peptide microarray immunoassay.
Identifieur interne : 001D93 ( PubMed/Corpus ); précédent : 001D92; suivant : 001D94A bioinformatics approach to identify patients with symptomatic peanut allergy using peptide microarray immunoassay.
Auteurs : Jing Lin ; Francesca M. Bruni ; Zhiyan Fu ; Jennifer Maloney ; Ludmilla Bardina ; Attilio L. Boner ; Gustavo Gimenez ; Hugh A. SampsonSource :
- The Journal of allergy and clinical immunology [ 1097-6825 ] ; 2012.
English descriptors
- KwdEn :
- 2S Albumins, Plant (immunology), 2S Albumins, Plant (metabolism), Adolescent, Antigens, Plant (immunology), Antigens, Plant (metabolism), Child, Child, Preschool, Computational Biology (methods), Epitopes (immunology), Epitopes (metabolism), Female, Glycoproteins (immunology), Glycoproteins (metabolism), Humans, Immunization, Immunoglobulin E (metabolism), Immunoglobulin G (metabolism), Male, Membrane Proteins, Models, Biological, Peanut Hypersensitivity (diagnosis), Peanut Hypersensitivity (immunology), Plant Proteins (immunology), Plant Proteins (metabolism), Predictive Value of Tests, Protein Array Analysis.
- MESH :
- chemical , immunology : 2S Albumins, Plant, Antigens, Plant, Epitopes, Glycoproteins, Plant Proteins.
- chemical , metabolism : 2S Albumins, Plant, Antigens, Plant, Epitopes, Glycoproteins, Immunoglobulin E, Immunoglobulin G, Plant Proteins.
- diagnosis : Peanut Hypersensitivity.
- immunology : Peanut Hypersensitivity.
- methods : Computational Biology.
- Adolescent, Child, Child, Preschool, Female, Humans, Immunization, Male, Membrane Proteins, Models, Biological, Predictive Value of Tests, Protein Array Analysis.
Abstract
Peanut allergy is relatively common, typically permanent, and often severe. Double-blind, placebo-controlled food challenge is considered the gold standard for the diagnosis of food allergy-related disorders. However, the complexity and potential of double-blind, placebo-controlled food challenge to cause life-threatening allergic reactions affects its clinical application. A laboratory test that could accurately diagnose symptomatic peanut allergy would greatly facilitate clinical practice.
DOI: 10.1016/j.jaci.2012.02.012
PubMed: 22444503
Links to Exploration step
pubmed:22444503Le document en format XML
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Bruni</name></author><author><name sortKey="Fu, Zhiyan" sort="Fu, Zhiyan" uniqKey="Fu Z" first="Zhiyan" last="Fu">Zhiyan Fu</name></author><author><name sortKey="Maloney, Jennifer" sort="Maloney, Jennifer" uniqKey="Maloney J" first="Jennifer" last="Maloney">Jennifer Maloney</name></author><author><name sortKey="Bardina, Ludmilla" sort="Bardina, Ludmilla" uniqKey="Bardina L" first="Ludmilla" last="Bardina">Ludmilla Bardina</name></author><author><name sortKey="Boner, Attilio L" sort="Boner, Attilio L" uniqKey="Boner A" first="Attilio L" last="Boner">Attilio L. Boner</name></author><author><name sortKey="Gimenez, Gustavo" sort="Gimenez, Gustavo" uniqKey="Gimenez G" first="Gustavo" last="Gimenez">Gustavo Gimenez</name></author><author><name sortKey="Sampson, Hugh A" sort="Sampson, Hugh A" uniqKey="Sampson H" first="Hugh A" last="Sampson">Hugh A. Sampson</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2012">2012</date><idno type="RBID">pubmed:22444503</idno><idno type="pmid">22444503</idno><idno type="doi">10.1016/j.jaci.2012.02.012</idno><idno type="wicri:Area/PubMed/Corpus">001D93</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">001D93</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">A bioinformatics approach to identify patients with symptomatic peanut allergy using peptide microarray immunoassay.</title><author><name sortKey="Lin, Jing" sort="Lin, Jing" uniqKey="Lin J" first="Jing" last="Lin">Jing Lin</name><affiliation><nlm:affiliation>Pediatric Allergy and Immunology, Mount Sinai School of Medicine, New York, NY 10029, USA. jing.s.lin@mssm.edu</nlm:affiliation></affiliation></author><author><name sortKey="Bruni, Francesca M" sort="Bruni, Francesca M" uniqKey="Bruni F" first="Francesca M" last="Bruni">Francesca M. Bruni</name></author><author><name sortKey="Fu, Zhiyan" sort="Fu, Zhiyan" uniqKey="Fu Z" first="Zhiyan" last="Fu">Zhiyan Fu</name></author><author><name sortKey="Maloney, Jennifer" sort="Maloney, Jennifer" uniqKey="Maloney J" first="Jennifer" last="Maloney">Jennifer Maloney</name></author><author><name sortKey="Bardina, Ludmilla" sort="Bardina, Ludmilla" uniqKey="Bardina L" first="Ludmilla" last="Bardina">Ludmilla Bardina</name></author><author><name sortKey="Boner, Attilio L" sort="Boner, Attilio L" uniqKey="Boner A" first="Attilio L" last="Boner">Attilio L. Boner</name></author><author><name sortKey="Gimenez, Gustavo" sort="Gimenez, Gustavo" uniqKey="Gimenez G" first="Gustavo" last="Gimenez">Gustavo Gimenez</name></author><author><name sortKey="Sampson, Hugh A" sort="Sampson, Hugh A" uniqKey="Sampson H" first="Hugh A" last="Sampson">Hugh A. Sampson</name></author></analytic><series><title level="j">The Journal of allergy and clinical immunology</title><idno type="eISSN">1097-6825</idno><imprint><date when="2012" type="published">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>2S Albumins, Plant (immunology)</term><term>2S Albumins, Plant (metabolism)</term><term>Adolescent</term><term>Antigens, Plant (immunology)</term><term>Antigens, Plant (metabolism)</term><term>Child</term><term>Child, Preschool</term><term>Computational Biology (methods)</term><term>Epitopes (immunology)</term><term>Epitopes (metabolism)</term><term>Female</term><term>Glycoproteins (immunology)</term><term>Glycoproteins (metabolism)</term><term>Humans</term><term>Immunization</term><term>Immunoglobulin E (metabolism)</term><term>Immunoglobulin G (metabolism)</term><term>Male</term><term>Membrane Proteins</term><term>Models, Biological</term><term>Peanut Hypersensitivity (diagnosis)</term><term>Peanut Hypersensitivity (immunology)</term><term>Plant Proteins (immunology)</term><term>Plant Proteins (metabolism)</term><term>Predictive Value of Tests</term><term>Protein Array Analysis</term></keywords><keywords scheme="MESH" type="chemical" qualifier="immunology" xml:lang="en"><term>2S Albumins, Plant</term><term>Antigens, Plant</term><term>Epitopes</term><term>Glycoproteins</term><term>Plant Proteins</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>2S Albumins, Plant</term><term>Antigens, Plant</term><term>Epitopes</term><term>Glycoproteins</term><term>Immunoglobulin E</term><term>Immunoglobulin G</term><term>Plant Proteins</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Peanut Hypersensitivity</term></keywords><keywords scheme="MESH" qualifier="immunology" xml:lang="en"><term>Peanut Hypersensitivity</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Computational Biology</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Child</term><term>Child, Preschool</term><term>Female</term><term>Humans</term><term>Immunization</term><term>Male</term><term>Membrane Proteins</term><term>Models, Biological</term><term>Predictive Value of Tests</term><term>Protein Array Analysis</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Peanut allergy is relatively common, typically permanent, and often severe. Double-blind, placebo-controlled food challenge is considered the gold standard for the diagnosis of food allergy-related disorders. However, the complexity and potential of double-blind, placebo-controlled food challenge to cause life-threatening allergic reactions affects its clinical application. A laboratory test that could accurately diagnose symptomatic peanut allergy would greatly facilitate clinical practice.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">22444503</PMID><DateCompleted><Year>2012</Year><Month>07</Month><Day>27</Day></DateCompleted><DateRevised><Year>2019</Year><Month>12</Month><Day>10</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1097-6825</ISSN><JournalIssue CitedMedium="Internet"><Volume>129</Volume><Issue>5</Issue><PubDate><Year>2012</Year><Month>May</Month></PubDate></JournalIssue><Title>The Journal of allergy and clinical immunology</Title><ISOAbbreviation>J. Allergy Clin. Immunol.</ISOAbbreviation></Journal><ArticleTitle>A bioinformatics approach to identify patients with symptomatic peanut allergy using peptide microarray immunoassay.</ArticleTitle><Pagination><MedlinePgn>1321-1328.e5</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.jaci.2012.02.012</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Peanut allergy is relatively common, typically permanent, and often severe. Double-blind, placebo-controlled food challenge is considered the gold standard for the diagnosis of food allergy-related disorders. However, the complexity and potential of double-blind, placebo-controlled food challenge to cause life-threatening allergic reactions affects its clinical application. A laboratory test that could accurately diagnose symptomatic peanut allergy would greatly facilitate clinical practice.</AbstractText><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">We sought to develop an allergy diagnostic method that could correctly predict symptomatic peanut allergy by using peptide microarray immunoassays and bioinformatic methods.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">Microarray immunoassays were performed by using the sera from 62 patients (31 with symptomatic peanut allergy and 31 who had outgrown their peanut allergy or were sensitized but were clinically tolerant to peanut). Specific IgE and IgG(4) binding to 419 overlapping peptides (15 mers, 3 offset) covering the amino acid sequences of Ara h 1, Ara h 2, and Ara h 3 were measured by using a peptide microarray immunoassay. Bioinformatic methods were applied for data analysis.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Individuals with peanut allergy showed significantly greater IgE binding and broader epitope diversity than did peanut-tolerant individuals. No significant difference in IgG(4) binding was found between groups. By using machine learning methods, 4 peptide biomarkers were identified and prediction models that can predict the outcome of double-blind, placebo-controlled food challenges with high accuracy were developed by using a combination of the biomarkers.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">In this study, we developed a novel diagnostic approach that can predict peanut allergy with high accuracy by combining the results of a peptide microarray immunoassay and bioinformatic methods. Further studies are needed to validate the efficacy of this assay in clinical practice.</AbstractText><CopyrightInformation>Copyright © 2012 American Academy of Allergy, Asthma & Immunology. Published by Mosby, Inc. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Lin</LastName><ForeName>Jing</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Pediatric Allergy and Immunology, Mount Sinai School of Medicine, New York, NY 10029, USA. jing.s.lin@mssm.edu</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bruni</LastName><ForeName>Francesca M</ForeName><Initials>FM</Initials></Author><Author ValidYN="Y"><LastName>Fu</LastName><ForeName>Zhiyan</ForeName><Initials>Z</Initials></Author><Author ValidYN="Y"><LastName>Maloney</LastName><ForeName>Jennifer</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Bardina</LastName><ForeName>Ludmilla</ForeName><Initials>L</Initials></Author><Author ValidYN="Y"><LastName>Boner</LastName><ForeName>Attilio L</ForeName><Initials>AL</Initials></Author><Author ValidYN="Y"><LastName>Gimenez</LastName><ForeName>Gustavo</ForeName><Initials>G</Initials></Author><Author ValidYN="Y"><LastName>Sampson</LastName><ForeName>Hugh A</ForeName><Initials>HA</Initials></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>RR026134</GrantID><Acronym>RR</Acronym><Agency>NCRR NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>U19 AI044236</GrantID><Acronym>AI</Acronym><Agency>NIAID NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>U19 AI066738</GrantID><Acronym>AI</Acronym><Agency>NIAID NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>P01 AI044236</GrantID><Acronym>AI</Acronym><Agency>NIAID NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>AI44236</GrantID><Acronym>AI</Acronym><Agency>NIAID NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>AI066738</GrantID><Acronym>AI</Acronym><Agency>NIAID NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2012</Year><Month>03</Month><Day>23</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Allergy Clin Immunol</MedlineTA><NlmUniqueID>1275002</NlmUniqueID><ISSNLinking>0091-6749</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D055516">2S Albumins, Plant</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D052179">Antigens, Plant</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="C500889">Ara h 1 protein, Arachis hypogaea</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance 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|area= MersV1
|flux= PubMed
|étape= Corpus
|type= RBID
|clé= pubmed:22444503
|texte= A bioinformatics approach to identify patients with symptomatic peanut allergy using peptide microarray immunoassay.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/RBID.i -Sk "pubmed:22444503" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd \
| NlmPubMed2Wicri -a MersV1
| This area was generated with Dilib version V0.6.33. |  |