BACKGROUND: It has been suggested that hepcidin may be useful as a tool for managing iron therapy in haemodialysis (HD) patients on erythropoiesis-stimulating agents (ESA). METHODS: We used SELDI-TOF mass spectrometry assay to measure serum hepcidin-25 (Hep-25) and hepcidin-20 (Hep-20) in 56 adult HD patients on maintenance ESA to assess their ability to predict haemoglobin (Hb) response after 1 g intravenous iron (62.5 mg ferric gluconate at 16 consecutive dialysis sessions) and their relationship with markers of iron status, inflammation and erythropoietic activity. RESULTS: At multivariate analysis (in a model that also included Hb, reticulocyte, ESA dose, HFE genotype, soluble transferrin receptor [sTfR] and C-reactive protein), Hep-25 independently correlated with ferritin (β = 0.03, P = 0.01) and the percentage of hypochromic red blood cells [%Hypo] (β = 1.84, P = 0.01), suggesting that Hep-25 may be a useful biomarker for iron stores and bone marrow iron availability. Hep-20 correlated independently with Hep-25 (β = 0.159, P < 0.001) and ferritin (β = 0.006, P = 0.05), suggesting that it may be a useful additional biomarker for iron stores. On receiver operating characteristics curve analysis, neither Hep-25 nor Hep-20 significantly predicted who will increase their Hb after iron loading (AUC = 0.52 ± 0.09 and 0.54 ± 0.08, P = 0.612), and the same applied to ferritin and transferrin saturation (AUC = 0.55 ± 0.08 and 0.59 ± 0.08, P = 0.250), whereas %Hypo and reticulocyte Hb content were significant predictors (AUC = 0.84 ± 0.05 and 0.70 ± 0.08, P < 0.01). At multivariate logistic regression analysis, %Hypo was the only biomarker independently associated with iron responsiveness. CONCLUSIONS: Although our study suggests an important role for hepcidin in regulating iron homeostasis in HD patients on ESA, our findings do not support its utility as a predictor of iron needs, offering no advantage over established markers of iron status.
BACKGROUND: It has been suggested that hepcidin may be useful as a tool for managing iron therapy in haemodialysis (HD) patients on erythropoiesis-stimulating agents (ESA). METHODS: We used SELDI-TOF mass spectrometry assay to measure serum hepcidin-25 (Hep-25) and hepcidin-20 (Hep-20) in 56 adult HDpatients on maintenance ESA to assess their ability to predict haemoglobin (Hb) response after 1 g intravenous iron (62.5 mg ferric gluconate at 16 consecutive dialysis sessions) and their relationship with markers of iron status, inflammation and erythropoietic activity. RESULTS: At multivariate analysis (in a model that also included Hb, reticulocyte, ESA dose, HFE genotype, soluble transferrin receptor [sTfR] and C-reactive protein), Hep-25 independently correlated with ferritin (β = 0.03, P = 0.01) and the percentage of hypochromic red blood cells [%Hypo] (β = 1.84, P = 0.01), suggesting that Hep-25 may be a useful biomarker for iron stores and bone marrow iron availability. Hep-20 correlated independently with Hep-25 (β = 0.159, P < 0.001) and ferritin (β = 0.006, P = 0.05), suggesting that it may be a useful additional biomarker for iron stores. On receiver operating characteristics curve analysis, neither Hep-25 nor Hep-20 significantly predicted who will increase their Hb after iron loading (AUC = 0.52 ± 0.09 and 0.54 ± 0.08, P = 0.612), and the same applied to ferritin and transferrin saturation (AUC = 0.55 ± 0.08 and 0.59 ± 0.08, P = 0.250), whereas %Hypo and reticulocyte Hb content were significant predictors (AUC = 0.84 ± 0.05 and 0.70 ± 0.08, P < 0.01). At multivariate logistic regression analysis, %Hypo was the only biomarker independently associated with iron responsiveness. CONCLUSIONS: Although our study suggests an important role for hepcidin in regulating iron homeostasis in HDpatients on ESA, our findings do not support its utility as a predictor of iron needs, offering no advantage over established markers of iron status.
Authors: Sourabh Chand; Douglas G Ward; Zhi-Yan Valerie Ng; James Hodson; Heidi Kirby; Patricia Steele; Irina Rooplal; Ferly Bantugon; Tariq Iqbal; Chris Tselepis; Mark T Drayson; Alison Whitelegg; Marie Chowrimootoo; Richard Borrows Journal: J Nephrol Date: 2014-04-01 Impact factor: 3.902
Authors: Adam E Gaweda; Yelena Z Ginzburg; Yossi Chait; Michael J Germain; George R Aronoff; Eliezer Rachmilewitz Journal: Nephrol Dial Transplant Date: 2014-05-12 Impact factor: 5.992