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INFLAMMATION AND ADIPOSE TISSUE IN PATIENTS ON RENAL REPLACEMENT THERAPYV.D.Raikou1, D.Kyriaki2, N.Zeggos2, Ch.Skalioti3, H.Tzanatou4, J.N.Boletis31.1st Dpt of Medicine - Propaedaetic, National & Kapodistrian University of Athens, School of Medicine. General Hospital “LAΪKO”, ΑΤΗΕΝS, GREECE 2. Dpt of Nuclear Medicine. General Hospital “LAΪKO”, ΑΤΗΕΝS, GREECE 3.Dpt of Nephrology and Transplantation, General Hospital “LAΪKO”, ΑΤΗΕΝS, GREECE 4. Dpt of Nephrology, University of Athens,Hospital“ARETAIEIO”, ΑΤΗΕΝS, GREECE INTRODUCTIONRESULTS 1. Cardiovascular disease remains the main reason of morbitity and mortality in renal failure 2. Chronic inflammation and insulin resistance are associated in chronic renal failure 3. Adipose tissue produces several hormones : leptin, resistin, adiponectin 4. Adipose tissue hormones modulate inflammatory response and insulin action AIM Our aim was the consideration of the relationship between inflammatory, metabolic and cardiovascular derangements in patients on renal replacement therapy. METHODS We studied 96 dialyzed patients (62 males/34 females) on mean age 62,1±14,27 years old and 24 healthy controls The treatment modalities were : Regular hemodialysis (HD, n=34) Predilutionhemodiafiltration (HDF, n=42) Peritoneal dialysis (PD, n=20) Prediction of PAOD by MCP-1 levels after adjustment for confounders We noted : Coronary disease (CD) Peripheral arterial occlusive disease (PAOD) We measured : insulin, leptin, beta2-microglobulin by RIA hsCRP, monocytechemoattractant protein-1 (MCP-1) by ELISA insulin resistance by HOMA-IR Chol / HDL ratio Prediction of CD by beta2M after adjustment for lipid levels Statistical analysis : Correlations between inflammatory and metabolic markers Logistic regression analysis to predict CD and PAOD CONCLUSIONS The patients on renal replacement therapy present significant inflammatory and metabolic markers increased in correlation to healthy controls.Adipose tissue by leptin may promote inflammation and reduces insulinaction. Cardiovascular morbitity can be predicted by high beta2M and MCP-1 serum levels after adjustment for confounders