SPEXIN IS THE NEW ADIPOKINE: ANALYSIS IN AN OBESE PEDIATRIC COHORT IN ARGENTINA

ALZAMENDI A; FITTIPALDI A S; OLIVERO V; HERNÁNDEZ J; GIORDANO, A P; SALA C; GARRIDO V; ZUBIRÍA M G; GAMBARO S E; FERNÁNDEZ E; CARIQUIRIBORDE S; DALIERI M; GIOVAMBATTISTA A

Congreso; LXV Reunión Anual Sociedad Argentina de Investigación Clínica; 2020

Sociedad Argentina de Investigación Clínica

Overweight and obesity are associated with sedentary lifestyle and unbalanced diet intake. According to the last survey about nutrition and health (2019) in Argentine, 4 out of 10 children are overweight/obese. Our aim was to evaluate, in a male pediatric cohort, plasmatic levels of Spexin (SPX), Leptin (Lep) and Adiponectin (Adipo) in order to find their relationship with obesity risk factors. The study was approved by the CIRPI of La Plata Children?s Hospital. Physical, biochemical parameters and plasmatic adipokines from 70 children were evaluated. Patients were classified by their BMI z-score (BAZ), ranging from -1 to 1 for control (CTR), from 1 to 2 for overweight (OW) and higher than 2 for obese (OB). Results revealed no significant differences for glucose and lipid profile, while for hepatic TGP, GGT and PCR, OB children showed higher levels than CTR. Adipo levels were similar among groups, but SPX (CTR=0,79; OW=0,53; OB=0,38 ng/mL; P< 0,0001) and Lep (CTR=1,95; OW=9,95; OB=17,25 ng/mL; P< 0,0001) showed significant differences. Moreover, we found significant correlation for SPX vs. BAZ, Lep, insulin, triglycerides (TG), HDL and GGT and for Lep vs. BAZ, insulin, TG, SPX, VLDL, PCR, GGT. Finally, principal component (PC) analysis was assessed, showing that in PC1 SPX clustered with insulin, Lep and TG and correlated with BAZ (P< 0,001); whereas in PC2, lipid profile and adiponectin clustered together, but did not correlate with BAZ. PC1 explained 39% of variance of the population, PC2 21% and all together reached 60%. In conclusion, we showed for the first time in an Argentinian pediatric cohort, that plasmatic SPX levels decreased as BAZ increase and SPX and Lep were able to discriminate among groups, according to BAZ range. Moreover, we demonstrated by PC analysis that SPX, Lep, Insulin and TG clustered together and explained in a higher proportion the variance of the population, reflecting the global metabolic status of patients. PICT2017-2314; PUE-2017.