Gene expression analysis in allergology: the prediction of Hymenoptera venom allergy severity and treatment efficacyReportar como inadecuado




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Clinical and Translational Allergy

, 3:35

First Online: 27 October 2013Received: 10 April 2013Accepted: 25 October 2013

Abstract

Insect venom allergy IVA may result in the most severe systemic reactions seen in allergology. The only potentially curative treatment option is venom immunotherapy VIT over 3 to 5 years. This treatment is effective in more than 90% of subjects but no reliable predictors of VIT effectiveness exist. Sting challenge with a living insect can be performed to assess the effectiveness of VIT: the predictive value of sting challenge can be highly sensitive in patients with honeybee venom allergy whereas in yellow jacket allergy, a negative result can be reliable if the challenge has been repeated at least 3 times.

The analysis of gene expression may be a step towards personalized venom immunotherapy assessing the effectiveness of treatment, the minimal required time for VIT and the persistence of long term tolerance induced by the treatment. Recent studies have enabled construction of a predictive model that could potentially be used in clinical practice to assess the efficacy of insect venom immunotherapy. A set of 69 genes that may be responsible for long-term protection was identified. Further analysis of the previously identified 6 transcripts make up the 18 gene predictive peripheral blood showed differences in patients treated with IVA. Further studies are needed to investigate the usefulness of gene expression analysis and other markers in the prediction of VIT effectiveness.

KeywordsInsect venom allergy Gene expression Immunotherapy Mastocytosis AbbreviationsVITVenom immunotherapy

IVAInsect venom allergy

PCRPolymerase chain reaction

GWASGenome-wide association study.

Electronic supplementary materialThe online version of this article doi:10.1186-2045-7022-3-35 contains supplementary material, which is available to authorized users.

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Autor: Marek Niedoszytko - Marta Gruchała-Niedoszytko - Ewa Jassem

Fuente: https://link.springer.com/







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