Serum ferritin concentration predicts hepatic fibrosis better than hepatic iron concentration in human HFE-Haemochromatosis

BACKGROUND & AIMS

Ferritin is purported to have proinflammatory and profibrogenic effects on hepatic stellate cells. Thus, rather than acting as a passive indicator of hepatic iron concentration (HIC) in haemochromatosis, ferritin may directly influence fibrosis. This study evaluated whether serum ferritin is a better predictor of hepatic fibrosis compared to variables previously associated with increased fibrosis risk in haemochromatosis.

METHODS

We identified 291 C282Y HFE-homozygous patients who had undergone liver biopsy for histological fibrosis staging and measurement of HIC. Ordinal logistic regression determined the best model for fibrosis stage not including serum ferritin. Then, serum ferritin was introduced into this model to assess whether the predictive power of the model was significantly increased and to evaluate the effect on other predictors of fibrosis.

RESULTS

Ordinal logistic regression analyses without serum ferritin demonstrated that log HIC (OR 2.89; P < .001), male gender (OR 2.93; P = .005), alcohol consumption (g/day) (OR 1.01; P = .004), steatosis (OR 2.86; P = .01), arthritis (OR 2.46; P = .01) predicted increasing fibrosis stage (n=217). Addition of serum ferritin in multivariate analysis substantially improved the predictive power of the model (χ²  = 37.15; P < .01) and was highly predictive of fibrosis stage (OR 5.44; P < .001). Inclusion of serum ferritin in this model rendered the effects of HIC, gender, alcohol and steatosis to non-significance.

CONCLUSIONS

In haemochromatosis, serum ferritin is a better predictor of fibrosis stage than HIC, gender, steatosis and alcohol. These data support a hypothesis that ferritin may play a role in fibrosis rather than simply acting as a passive indicator of iron storage.

Exome sequencing in HFE C282Y homozygous men with extreme phenotypes identifies a GNPAT variant associated with severe iron overload

To identify polymorphisms associated with variability of iron overload severity in HFE-associated hemochromatosis, we performed exome sequencing of DNA from 35 male HFE C282Y homozygotes with either markedly increased iron stores (n = 22; cases) or with normal or mildly increased iron stores (n = 13; controls). The 35 participants, residents of the United States, Canada, and Australia, reported no or light alcohol consumption. Sequencing data included 82,068 single-nucleotide variants, and 10,337 genes were tested for a difference between cases and controls. A variant in the GNPAT gene showed the most significant association with severe iron overload (P = 3 × 10(-6) ; P = 0.033 by the likelihood ratio test after correction for multiple comparisons). Sixteen of twenty-two participants with severe iron overload had glyceronephosphate O-acyltransferase (GNPAT) polymorphism p.D519G (rs11558492; 15 heterozygotes, one homozygote). No control participant had this polymorphism. To examine functional consequences of GNPAT deficiency, we performed small interfering RNA-based knockdown of GNPAT in the human liver-derived cell line, HepG2/C3A. This knockdown resulted in a >17-fold decrease in expression of the messenger RNA encoding the iron-regulatory hormone, hepcidin.

CONCLUSION

GNPAT p.D519G is associated with a high-iron phenotype in HFE C282Y homozygotes and may participate in hepcidin regulation.

Rapid look-up table method for noise-corrected curve fitting in the R2* mapping of iron loaded liver

PURPOSE

Fitting the measured decay signal to the first moment in the presence of noncentral chi noise (M(1) NCM) can correctly address the effect of noise on the effective transverse relaxation rate (R2*) relaxometry of iron loaded liver. However, this method requires intensive computation, which restricts its application to R2* mapping. This work aims to develop a rapid implementation of the M(1) NCM method for R2* mapping.

METHODS

The computation of the confluent hypergeometric function in the M(1) NCM model was approximated using cubic spline interpolation with breakpoints and coefficients precalculated and stored in a look-up table (M(1) NCM-LUT). The performance of the proposed M(1) NCM-LUT method was evaluated through simulation and based on in vivo liver R2* relaxometry data.

RESULTS

In both simulation and in vivo studies, the maximum absolute difference between R2* maps generated by the M(1) NCM and M(1) NCM-LUT methods was nearly 10(-3) s(-1) or less, and the M(1) NCM-LUT method obtained a R2* map in approximately 1 s and achieved an acceleration of approximately five orders of magnitude.

CONCLUSION

The proposed M(1) NCM-LUT method can significantly increase the speed of the liver R2* mapping using the M(1) NCM model. This development is important in promoting application of this R2* mapping technique for tissue iron quantification.

Effect of hepatic iron concentration and viral factors in chronic hepatitis C-infected patients with thalassemia major, treated with interferon and ribavirin

Background:

Beta thalassemia major patients are vulnerable to transfusion-transmitted infection, especially hepatitis C virus (HCV), and iron overload. These comorbidities lead to cirrhosis and hepatocellular carcinoma in these patients. In order to prevent these complications, treatment of HCV infection and regular iron chelating seems to be necessary. The aim of this study was to evaluate the effect of hepatic iron concentration (HIC) and viral factors on the sustained virological response (SVR) in chronic HCV-infected patients, with beta thalassemia major being treated with interferon and ribavirin.

Materials and methods:

We enrolled 30 patients with thalassemia major and chronic HCV who were referred to the Hematology Clinic of Guilan University of Medical Sciences, between December 2002 and April 2006. HIC was measured by atomic absorption spectroscopy before treatment. The viral factors (viral load, genotype) and HIC were compared between those who achieved a SVR and nonresponders.

Results:

Mean age of the 30 thalassemic patients, was 22.56 ± 4.28 years (14–30 years). Most patients were male (56.7%). Genotype 1a was seen in 24 (80%) cases. SVR was achieved in 15 patients (50%). There were no significant correlations between HIC (P = 1.00), viral load (P = 0.414), HCV genotype (P = 0.068), and SVR. No difference was observed in viral load (P = 0.669) and HIC (P = 0.654) between responders and nonresponders.

Conclusion:

HIC, HCV viral load, and HCV genotype were not correlated with virological response, and it seems that there is no need to postpone antiviral treatment for more vigorous iron chelating therapy.