Boari, A.

Crisi, P. E.

Gramenzi, A.

Prasinou, Paraskevi

Archivio della Ricerca - Università degli Studi di Teramo

The lipidomic analysis in the veterinary field: study of the cell membrane lipid profile in physiological and pathological conditions

PRASINOU, PARASKEVI

P. E. Crisi

A. Gramenzi

A. Boari

www.postersession.c omConclusionsThe lipidomic analysis in the veterinary field: study of the cell membrane lipid profile in physiological and pathological conditionsP. Prasinou, P. E. Crisi, A. Gramenzi, A. BoariFaculty of Veterinary Medicine, University of Teramo, ItalyThe role of lipids in health and disease in humans has been recognized for many decades, as evidenced by the early identification of cholesterol asan important risk factor of heart disease [1],[2]. Circulating phospholipids and sphingolipids are believed to play a role in obesity-related functionssuch as insulin resistance and cardiovascular disease[3]. The urine concentration of lysophospholipids seems to increase in diabetic patients [4].Although there have been a series of studies that correlates the lipid profile with chronic diseases in humans, in animals there have not been similarstudies.This project for the first time will evaluate the lipidomic analysis on the lipids of the membranes of blood cells from animals either in physiological orpathological conditions. It is aiming to a better understanding of the function of the cell membrane, how its composition can be affected under differentcircumstances (chronic pathological diseases) and to the definition of the profile of the selected disease.As soon as the profile of the disease is defined, it would be possible to determine type and quantity of the lipids requirements, as well as stress andlack of adequate protection and the effects of the radicals in the organism. A nutraceutical therapy will be thus considered.Introduction Method ReferenceResultsThis project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 7137141. V Kuburovic, J Vekic, A Zeljkovic, A Carrie, J Kotur-Stevuljevic, D Bojanin,J Kosutic, V Spasojevic-Kalimanovska, M Miljkovic, N Kuburovic, PCouvert Clin Biochem 2017, 50(18):1323-13252. Bays HE, Patel MD, Mavros P, Ramey DR, Tomassini JE, TershakovecAM, Baxter CA ‘ J Clin Lipidol 2017, 11(4):929-9373. William L. Holland and Scott A. Summers Endocr Rev, 2008, 29(4): 381–4024. J-S Saulnier-Blache, E Feigerlova, J Michel Halimi, P Gourdy, R Roussel,B Guerci, A Dupuy, J Bertrand-Michel, J-L Bascands , S Hadjadj, J PSchanstra Diabetes Complications 2017, 31 (7), 1103-1108 The lipidomic profile of healthy animals variates between breeds, sex, different age and size  Statistical criteria must be taken into consideration for partitioning a reference database to obtain separate reference ranges for different subpopulations It will be necessary to assay  more samples of healthy dogs within the next few months Samples from diseased dogs will be assayed so that a profile of the disease can be defined As soon as the profile of the disease is defined, it would be possible to determine type and quantity of the lipids requirements, as well as stress and lack of adequate protection and the effects of the radicals in the organism. A nutraceutical therapy will be thus consideredCollection of animal blood sampleGas Chromatography(GC)Transesterification Reaction(FAME)Thin Layer Chromatography (TLC)Lipid Extraction from RBCIsolation and collection of Red Blood Cells (RBC) 24 blood samples from healty dogs (9 males, 15 females) median age: 57 monthsFigure1. GC chromatogram: Each peak represents the signal created when a compound elutes from the GC column into the detector. (x-axis:RT, y-axis:intensity of the signal)Fatty acids16:00 palmitic16:1 9c palmitoleic18:00 stearic18:1 (n-9) oleic18:1(n-7) vaccenic18:2 (n6) linoleic18:3(n-3) alpha-linoleic (ALA)20:3(n-6) Diomogamma-linoleic20:4 (n-6) arachidonic20:5(n-3) EPA22:6(n-3) DHATable 1. The fatty acids of interest for the project are identified in each chromatogram and the area percentage is calculatedTotal FAME per family and indexesSFAMUFAω3ω6PUFAΣ Trans SFA/MUFASFA/PUFAω6/ω3PUFA balance ω3/(ω3+ω6)UI - Unsaturation IndexPI - Peroxidation IndexTable 2. Total fatty acids methyl esters (FAME) per family and membrane homeostasis indexes (Table 2) will be obtained from the collected data. the obtained data will be put into tables and be available for statistical analysis

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The lipidomic analysis in the veterinary field: study of the cell membrane lipid profile in physiological and pathological conditions

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Archivio della Ricerca - Università degli Studi di Teramo