MSACL 2019 US Abstract

A Novel Approach for the Classification and Detection of Pathological Pain

Meritxell Deulofeu (1,2,3), Eladia M. Peña-Méndez (4), Petr Vaňhara (3,5), Josef Havel (2,5), Enric Verdú (1), Victoria Salvadó (6), Pere Boadas-Vaello (1)
(1) Research Group of Clinical Anatomy, Embryology and Neuroscience (NEOMA), Department of Medical Sciences, University of Girona, Girona, Catalonia, Spain (2) Department of Chemistry, Faculty of Science, Masaryk University, Kamenice 5/A14, 625 00 Brno, Czech Republic (3) Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic (4) Department of Chemistry, Analytical Chemistry Division, Faculty of Sciences, University of La Laguna, 38204 San Cristóbal de La Laguna, Tenerife, Spain (5) International Clinical Research Center, St. Anne’s University Hospital, 656 91 Brno, Czech Republic (6) Department of Chemistry, Faculty of Science, University of Girona, 17071 Girona, Catalonia, Spain

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Meritxell Deulofeu Figueras (Presenter) University of Girona

Presenter Bio: My name is Meritxell Deulofeu and I am now starting the 4th year of my PhD in the University of Girona. I have a Bachelor Degree in Biomedical Sciences (University of Barcelona) and a Master in Molecular Biology and Biomedicine (University of Girona). Now I am doing my PhD thesis which has the provisional title “Development of advanced analytical methods for the study of fingerprints: determination of new therapeutic targets for the treatment of neuropathic pain”.

Relevant Financial Disclosures (within past 24 months) No relevant financial relationship(s) to disclose. Discussing Products? NO, presenter will NOT present educational content related to products/services of the ineligible company(ies) listed above. Conflict mitigation NOT REQUIRED.

An innovative, simple and fast method for the detection of pathological pain fingerprint has been developed by using Matrix Assisted Laser Desorption Ionization Time of Flight (MALDI TOF) mass spectrometry (MS) analysis of sera obtained from animal models having either Spinal Cord Injury-induced neuropathic pain or chronic widespread pain (CWP). The analysis of the obtained complex mass spectra as fingerprints of their overall composition by artificial neural networks (ANN) was used to establish a model according to the type of pathological pain, which has been applied for their classification without the need of the identification of biomarkers.