RESEARCH ARTICLE
Modulation of the Serum Cytokine Expression Pattern in Hymenoptera Allergic Patients Treated with Specific Venom Immunotherapy
Catalina Sanz1, María Isidoro-García*, 2, Ignacio Dávila3, Marién Pascual3, Belén García Berrocal2, Fèlix Lorente4
Article Information
Identifiers and Pagination:
Year: 2012Volume: 5
First Page: 13
Last Page: 19
Publisher Id: TOIJ-5-13
DOI: 10.2174/1874226201205010013
Article History:
Received Date: 11/11/2011Revision Received Date: 15/1/2012
Acceptance Date: 16/1/2012
Electronic publication date: 17/4/2012
Collection year: 2012
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Venom immunotherapy (VIT) is an adequate model to explore the immune mechanisms underlying this type of treatment. We have investigated the use of protein arrays to detect variations in the levels of cytokines in patients receiving VIT. In the present study we selected 11 non-atopic patients with systemic reactions after Hymenoptera sting that received VIT during at least three years. In order to evaluate the success of VIT all of them should have tolerated a sting field after VIT. Serum samples were obtained before initiating VIT and after at least three years of successful VIT. We analyzed 42 serum proteins corresponding to a Th1/Th2 panel using protein array methodology. We observed a significant increase of Interleukin 10, Myeloid Macrophage Colony Stimulation Factor, Macrophage Derived Chemokine, Interleukin 1-α, Vascular Endothelial Growing Factor and Stem Cell Factor serum levels after successful VIT. We discuss the usefulness and normalization of this array method to analyze cytokines and other serum proteins. Monitoring these serum cytokines could help to predict the response and to elucidate the mechanisms underlying immunotherapy.