PMID- 24799331
OWN - NLM
STAT- MEDLINE
DCOM- 20150416
LR  - 20160511
IS  - 2042-6984 (Electronic)
IS  - 2042-6976 (Linking)
VI  - 4
IP  - 7
DP  - 2014 Jul
TI  - Allergen cross-reactivity in allergic rhinitis and oral-allergy syndrome: a 
      bioinformatic protein sequence analysis.
PG  - 559-64
LID - 10.1002/alr.21340 [doi]
AB  - BACKGROUND: Clinical allergy cross-reactivity that is seen with related inhalant 
      allergens or between unrelated inhalant allergens and foods in oral allergy 
      syndrome (OAS) remains poorly understood. The goal of this study is to determine 
      whether clinical cross-reactivity can be identified from primary protein 
      sequences in allergy epitopes and food proteins. METHODS: High-throughput 
      analysis was performed by assembling all known allergy epitopes within the Immune 
      Epitope Database (IEDB; http://www.iedb.org) for 5 common species from 5 inhalant 
      allergen subclasses and comparing their protein sequences to each other, as well 
      as to sequences of intact proteins from known cross-reactive foods in the 
      European Molecular Biology Laboratory-European Bioinformatics Institute 
      (EMBL-EBI) protein database (http://www.uniprot.org) that have been implicated in 
      OAS. Computational methods were employed to allow for exact matching, gaps, and 
      similar amino acids using multiple algorithms. A phylogenetic tree was created to 
      determine evolutionary relationships between cross-reactive epitopes in OAS. 
      RESULTS: Twenty-three common inhalant allergens had 4429 unique epitopes; the 19 
      foods implicated in OAS had 9497 protein sequences. The Basic Local Alignment 
      Search Tool (BLAST) algorithm identified interclass and intraclass sequence 
      similarities for the 5 inhalant allergy classes with high similarity for mites, 
      grasses, and trees. Analysis of OAS proteins identified 104 matches to inhalant 
      allergy epitopes that are known to cross-react. The phylogenetic tree displayed 
      relationships that mostly followed organism phylogeny. CONCLUSION: Use of primary 
      protein sequences was successful in explaining clinical allergy cross-reactivity. 
      Clinical correlation is needed for use of these epitopes as diagnostic or 
      therapeutic entities for patients with cross-reactive allergic disease.
CI  - (c) 2014 ARS-AAOA, LLC.
FAU - Platt, Michael
AU  - Platt M
AD  - Department of Otolaryngology-Head and Neck Surgery, Boston University School of 
      Medicine, Boston, MA.
FAU - Howell, Sara
AU  - Howell S
FAU - Sachdeva, Ricky
AU  - Sachdeva R
FAU - Dumont, Charles
AU  - Dumont C
LA  - eng
PT  - Journal Article
DEP - 20140502
PL  - United States
TA  - Int Forum Allergy Rhinol
JT  - International forum of allergy & rhinology
JID - 101550261
RN  - 0 (Allergens)
RN  - 0 (Epitopes)
SB  - IM
MH  - Allergens/adverse effects/*genetics/immunology
MH  - Animals
MH  - Computational Biology/*methods
MH  - Cross Reactions/*genetics
MH  - Databases, Factual
MH  - Epitopes/*genetics
MH  - Food/adverse effects
MH  - Humans
MH  - Mites
MH  - Phylogeny
MH  - Poaceae
MH  - Rhinitis, Allergic/*immunology
MH  - Sequence Analysis, Protein
MH  - Trees
OTO - NOTNLM
OT  - OAS
OT  - allergic rhinitis
OT  - allergy
OT  - cross-reactivity
OT  - oral allergy syndrome
EDAT- 2014/05/07 06:00
MHDA- 2015/04/17 06:00
CRDT- 2014/05/07 06:00
PHST- 2013/09/06 00:00 [received]
PHST- 2014/02/28 00:00 [revised]
PHST- 2014/03/20 00:00 [accepted]
PHST- 2014/05/07 06:00 [entrez]
PHST- 2014/05/07 06:00 [pubmed]
PHST- 2015/04/17 06:00 [medline]
AID - 10.1002/alr.21340 [doi]
PST - ppublish
SO  - Int Forum Allergy Rhinol. 2014 Jul;4(7):559-64. doi: 10.1002/alr.21340. Epub 2014 
      May 2.