AB0096 ANALYSIS OF THE GENE EXPRESSION OF URAT-1, ABCG2, GLUT-9, OCT3, IL1β, TLR4 AND ALPK1 IN MONONUCLEAR CELLS OF PATIENTS WITH INTER-CRITICAL GOUT

Abstract

Background: Gout is a common type of arthritis that has incresed in the world due to environmental and genetic factors that associate it with an altered metabolic state. In Mexico, overweight, obesisty, diabetes and metabolic syndrome have incresed in children and adult population, These alterations are associated with the development of gout in adults. The gout is characterized by an inflammatory chronic process caused by the deposition of monosodium urate crystals (CUMs) in the joints. The recognition of these crystals by macrophages and neutrophils in the joint activates innate immunity. However, high levels of uric acid (UA) in intercritical phase could activate the expression of urate transporters and inflammation genes in other cell types such as monocytes and peripheral blood lymphocytes. Objective(s): The aim of this project was to analyze the changes in gene expression of SLC22A12, SLC2A9, SLC22A3, ABCG2, ALPK1, IL1beta, TLR4 in peripheral blood mononuclear cells (PBMC) of mexican patients with inter-critical gouty arthritis and controls without hyperuricemia (HU) comparing it with their metabolic profile. Method(s): The determination of the biochemical parameters was performed by a serum - blood chemical test for uric acid, glucose, triglycerides, cholesterol, HDL, LDL and creatinine. through the use of UniCel DxC 600, Synchron Clinical System. The total RNA of the PBMC cells was amplified by qRT-PCR using the GoTaq 1-Step RT-qPCR System real kit (Promega) and the Qiagen Rotor Gene Q kit, using specific primers. The gene expression analysis were performed by the DELTACT and DELTADELTACT method and using GAPDH as a reference gene to compare the expression of urate transporter genes and inflammatory genes in the study groups. The expression results were associated to clinical and biochemical parameters such as levels of uric acid, triglycerides, and weight. All statistical analyzes were performed with the SPSS program (IBM 22 version for Windows, SPSS, Inc., Chicago, IL, EU), using student's t-test or U Mann-Whitney test, for the normal and non-normal data, when p * <0.05 or p