D Stejskal1, M Karpísek, Z Hanulová, P Stejskal. 1. Department of Laboratory Medicine and Internal Department, Sternberk Hospital, Jivavska, Sternberk, Czech Republic. david.stejskal@nemstbk.cz
Abstract
OBJECTIVE: Since fibroblast growth factor 19 (FGF-19) is a potent metabolic regulator that influences glucose and lipid homeostasis, our aim was to develop an ELISA assay for measuring FGF-19 in human serum and to investigate its concentrations in healthy volunteers and patients suffering from metabolic syndrome. MATERIAL AND METHODS: A sandwich ELISA method was developed for quantitative determination of human FGF-19 in serum samples. Blood pressure, waist circumference, FGF-21 serum levels, serum cholesterol, triacylglycerols, HDL-cholesterol, LDL-cholesterol, insulin, glucose, adiponectin, uric acid, creatinine, hs-CRP and calculated BMI and Quicki insulin sensitivity index were measured in 153 healthy volunteers and 66 persons with metabolic syndrome. RESULTS: Neither sex nor age influenced FGF-19 serum concentration in the healthy volunteers. Probands with metabolic syndrome had 65 % lower FGF-19 serum values than the healthy ones (medians 158.6 versus 242.4 ng/L; p<0.01). FGF-19 correlated with glucose (r = -0.35, p<0.01), HDL (r = 0.24, p = 0.045), triacylglycerols (r = -0.19, p = 0.05) and with a number of other risk factors for metabolic syndrome (r = -0.28, p = 0.01). When adjusted to the concentrations of triacylglycerols, BMI and glucose, and finally to all data pertinent to FGF-19 (according to correlation analysis), our data indicate that FGF-19 is an independent marker of metabolic syndrome. CONCLUSIONS: The present study demonstrates the analytical properties of the ELISA FGF-19 assay and its usefulness when studying the metabolic syndrome. Serum concentrations of FGF-19 could be new key predictors of metabolic syndrome and thereby even a new negative risk factor of atherosclerosis.
OBJECTIVE: Since fibroblast growth factor 19 (FGF-19) is a potent metabolic regulator that influences glucose and lipid homeostasis, our aim was to develop an ELISA assay for measuring FGF-19 in human serum and to investigate its concentrations in healthy volunteers and patients suffering from metabolic syndrome. MATERIAL AND METHODS: A sandwich ELISA method was developed for quantitative determination of humanFGF-19 in serum samples. Blood pressure, waist circumference, FGF-21 serum levels, serum cholesterol, triacylglycerols, HDL-cholesterol, LDL-cholesterol, insulin, glucose, adiponectin, uric acid, creatinine, hs-CRP and calculated BMI and Quicki insulin sensitivity index were measured in 153 healthy volunteers and 66 persons with metabolic syndrome. RESULTS: Neither sex nor age influenced FGF-19 serum concentration in the healthy volunteers. Probands with metabolic syndrome had 65 % lower FGF-19 serum values than the healthy ones (medians 158.6 versus 242.4 ng/L; p<0.01). FGF-19 correlated with glucose (r = -0.35, p<0.01), HDL (r = 0.24, p = 0.045), triacylglycerols (r = -0.19, p = 0.05) and with a number of other risk factors for metabolic syndrome (r = -0.28, p = 0.01). When adjusted to the concentrations of triacylglycerols, BMI and glucose, and finally to all data pertinent to FGF-19 (according to correlation analysis), our data indicate that FGF-19 is an independent marker of metabolic syndrome. CONCLUSIONS: The present study demonstrates the analytical properties of the ELISA FGF-19 assay and its usefulness when studying the metabolic syndrome. Serum concentrations of FGF-19 could be new key predictors of metabolic syndrome and thereby even a new negative risk factor of atherosclerosis.
Authors: Olga Renner; Simone Harsch; Silke Matysik; Dieter Lütjohann; Gerd Schmitz; Eduard F Stange Journal: United European Gastroenterol J Date: 2014-06 Impact factor: 4.623
Authors: Matthew J Potthoff; Jamie Boney-Montoya; Mihwa Choi; Tianteng He; Nishanth E Sunny; Santhosh Satapati; Kelly Suino-Powell; H Eric Xu; Robert D Gerard; Brian N Finck; Shawn C Burgess; David J Mangelsdorf; Steven A Kliewer Journal: Cell Metab Date: 2011-06-08 Impact factor: 27.287