Literature DB >> 23144979

The A736V TMPRSS6 polymorphism influences hepatic iron overload in nonalcoholic fatty liver disease.

Luca Valenti1, Raffaela Rametta, Paola Dongiovanni, Benedetta M Motta, Elena Canavesi, Serena Pelusi, Edoardo A Pulixi, Anna L Fracanzani, Silvia Fargion.   

Abstract

BACKGROUND & AIMS: Hepatic iron accumulation due to altered trafficking is frequent in patients with nonalcoholic fatty liver disease (NAFLD), and is associated with more severe liver damage and hepatocellular carcinoma. The p.Ala736Val TMPRSS6 variant influences iron metabolism regulating the transcription of the hepatic hormone hepcidin, but its role in the pathogenesis of iron overload disorders is controversial. Aim of this study was to evaluate the whether the TMPRSS6 p.Ala736Val variant influences hepatic iron accumulation in a well-characterized series of Italian patients with histological NAFLD.
METHODS: 216 patients with histological NAFLD. TMPRSS6 and HFE variants were assessed by allele specific PCR, liver histology by the NAFLD activity score and Perls' staining for iron.
RESULTS: Homozygosity for the p.736Val allele previously linked to higher hepcidin did not influence transferrin saturation (TS), but was associated with lower hepatic iron stores (p = 0.01), and ferritin levels (median 223 IQR 102-449 vs. 308 IQR 141-618 ng/ml; p = 0.01). Homozygosity for TMPRSS6 p.736Val was nearly associated with lower ballooning (p = 0.05), reflecting hepatocellular damage related to oxidative stress. The influence of TMPRSS6 on hepatic iron accumulation was more marked in patients negative for HFE genotypes predisposing to iron overload (p.Cys282Tyr + and p.His63Asp +/+; p = 0.01), and the p.736Val variant was negatively associated with hepatic iron accumulation independently of age, gender, HFE genotype, and beta-thalassemia trait (OR 0.59, 0.39-0.88).
CONCLUSIONS: The p.Ala736Val TMPRSS6 variant influences secondary hepatic iron accumulation in patients with NAFLD.

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Year:  2012        PMID: 23144979      PMCID: PMC3489825          DOI: 10.1371/journal.pone.0048804

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Liver fat deposition related to systemic insulin resistance and the metabolic syndrome defines nonalcoholic fatty liver disease (NAFLD) [1], [2]. In susceptible individuals NAFLD is associated with oxidative hepatocellular damage, inflammation, and activation of fibrogenesis, i.e. non-alcoholic steatohepatitis (NASH) [3], [4], with potential progression towards cirrhosis and hepatocellular carcinoma [5], [6]. Due to the epidemic of obesity and the metabolic syndrome, NAFLD is now the most frequent liver disease and the leading cause of altered liver enzymes in Western countries [7], [8], and it is projected to become the leading cause of end-stage liver disease and hepatocellular carcinoma. Hyperferritinemia and mild iron overload are strongly associated with NAFLD [9], [10], [11], [12], [13], [14], [15], being detected in about 30% of unselected patients [11], [16], [17], [18], [19], [20]. In patients with steatosis, body iron stores have been linked to a heightened risk of metabolic complications [21], [22], [23], faster progression of cardiovascular damage [24], [25], [26], [27], more severe liver inflammation and fibrosis [9], [10], [11], [15], [28], [29], [30], and hepatocellular carcinoma [31]. In addition, iron depletion reduced insulin resistance and indices of liver necrosis in controlled studies [15], [17]. Differently from genetic iron overload disorders [32], NAFLD and the metabolic syndrome are characterized by preserved upregulation of the iron hormone hepcidin [15], [33], which inhibits iron absorption and recycling by binding and inactivating the cellular iron exporter Ferroportin-1 [34]. Therefore, the pathogenesis of iron accumulation in NAFLD has been related to altered cellular iron export associated with steatosis, hepatic inflammation, and IR [15], [35]. Genetic factors influencing the regulation of the iron hormone hepcidin, such as mutations in the HFE gene of hereditary hemochromatosis, contribute to the susceptibility to iron accumulation in NAFLD [11], [15], [18]. We have also shown that beta-globin mutations represent the best predictor of parenchymal iron overload in Italian patients with NAFLD, and are associated with a two-fold higher risk of severe fibrosis [12], linking iron overload to progressive liver disease. The Trans-membrane protease serine 6 (TMPRSS6) gene encodes for enzymes matriptase-2, which cleaves the membrane-bound hemojuvelin, a bone morphogenetic protein (BMP) coreceptor required for hepcidin expression in the liver, thereby decreasing hepcidin transcription [36]. Rare loss-of-function mutations in TMPRSS6 cause iron-refractory iron deficiency anemia (IRIDA) by upregulating hepcidin due to the inability to cleave hemojuvelin [37], whereas common TMPRSS6 polymorphisms are a risk factor for iron-deficiency anemia. The strongest association was observed for TMPRSS6 rs855791 C>T polymorphism in exon 17, a nonsynonymous substitution encoding for the p.Ala736Val variant that reduces the ability of the enzyme to cleave hemojuvelin and therefore to inhibit hepcidin transcription [38], thereby influencing transferrin saturation (TS), and erythropoiesis [37], [39], [40], [41], [42]. We recently reported that the p.Ala736Val variant influences the penetrance and expression of hereditary hemochromatosis [43]. However, the relationship between TMPRSS6 genotype and the expression of hemochromatosis is still controversial, and no data are available on the effect on iron overload disorders not related to hepcidin dysregulation. Aim of this study was to evaluate the whether the TMPRSS6 p.Ala736Val variant influences hepatic iron accumulation in a well-characterized series of Italian patients with histological NAFLD.

Materials and Methods

Patients

We considered 216 out of 274 Italian patients (79%) with biopsy proven NAFLD reported in a previous paper [12], without phenotypically expressed hereditary hemochromatosis, whose DNA samples and complete clinical data were available, and who gave written informed consent. The clinical features of the patients included are not significantly different from those of subjects not included in this study (not shown). Other causes of liver disease were excluded, including increased alcohol intake (>30/20 g/day for M/F), as confirmed by at least one family member and carboxydesialylated transferrin determination (<1.5%), the p.Cys282Tyr +/+ HFE genotype typical of hereditary hemochromatosis, hereditary iron overload due to Ferroportin-1 mutations, alpha1-antitrypsin deficiency (PiZ/Z, PiZ/S), chronic viral and autoimmune hepatitis, Wilson disease, and celiac disease. BMI and metabolic parameters, including glucose and lipid levels, ferritin, and liver enzymes (AST, ALT, GGT), and evaluation of acquired causes of iron overload, were determined in all patients. Serum hepcidin levels, available in a subset of patients (n = 55), were determined as previously described [44] for the evaluation of the relationship between iron and vascular damage in the same cohort [24], [27]. Hyperferritinemia has been defined for values of serum ferritin greater than 240 ng/ml in women and 320 ng/ml in men (upper reference value for the normal population in our laboratory) [12]. We also considered 271 healthy blood donors with normal iron parameters (serum ferritin and transferrin saturation (TS) at first blood donation), liver enzymes (AST, ALT, GGT), and metabolic parameters (glucose, triglycerides) as controls, all of Italian ancestry (Milan area). The study was approved by the institutional Review Board of the Fondazione Ca' Granda IRCCS, and it has been conducted according to the principles expressed in the Declaration of Helsinki. All evaluated subjects signed an informed consent. Demographic and clinical features of the subjects included are shown in table 1.
Table 1

Demographic, clinical, and genetic features of 216 Italian patients with NAFLD with available re-evaluation of histological siderosis and of 271 healthy controls with normal iron parameters, liver function tests, and metabolic parameters.

NAFLD patientsHealthy controls
Number216271
Sex F49 (18)56 (21)
Age years49±12* 45±12
BMI Kg/m2 27±4* 26±3
Hb g/dl14±214±2
Total cholesterol mg/dl206±40193±33
HDL cholesterol mg/dl47±14* 57±13
Triglycerides mg/dl151±89* 88±46
Glucose mg/dl99±24* 67±33
HOMA-IR4.1±3.2* 1.2±0.2
ALT UI/ml54±40* 23±9
GGT UI/ml72±79* 21±13
TS%34±1233±9
Ferritin ng/ml286 {138–585}37 {22–68}
Fibrosis stage F 2–438 (18)-
HFE genotype
p.Cys282Tyr/His63Asp10 (5)2 (1)
p.Cys282Tyr +/wt15 (7)7 (2)
p.His63Asp/His63Asp9 (4)9 (3)
p.His63Asp/wt54 (25)76 (28)
wt/wt128 (59)178 (66)
Beta-thalassemia trait22 (10)* 0
TMPRSS6 p.Ala736Val
Ala/Ala82 (38)88 (32)
Ala/Val101 (47)137 (51)
Val/Val33 (15)46 (17)

(): % values; BMI: body mass index; Hb: hemoglobin concentration; TS%: transferrin saturation %; wt: wild-type variant;

p<0.05 vs. healthy controls;

beta-thalassemia trait was a criterium for exclusion from blood donation.

(): % values; BMI: body mass index; Hb: hemoglobin concentration; TS%: transferrin saturation %; wt: wild-type variant; p<0.05 vs. healthy controls; beta-thalassemia trait was a criterium for exclusion from blood donation.

Histological assessment

Tissue sections were stained with hematoxylin and eosin, impregnated with silver for reticulin framework, and stained with trichrome for collagen. One expert pathologist unaware of clinical and genetic data reviewed all biopsies for fibrosis stage and the presence and pattern of liver siderosis. The presence of NASH was assessed according to Kleiner et al. [45]. The minimum biopsy size was 1.7 cm and the number of portal areas 10. Histological re-evaluation of liver siderosis was performed by one expert pathologist according to Deugnier [46]. When detected, hepatic iron accumulation was defined as hepatocellular or non-parenchymal according to the prevalent distribution pattern of siderosis [12].

Genetic analysis

DNA was extracted from peripheral blood by the phenol-chloroform method. Success rate in extracting DNA was 100% for each study group. HFE genotype (p.Cys282Tyr and p.His63Asp variants), and the TMPRSS6 rs855791 C>T polymorphism, (p.Ala736Val variant) were determined by sequence allele specific PCR, as previously described [12], [43]. Random samples were confirmed by direct sequencing. Quality controls were performed to verify the reproducibility of the results. Valid genotypic data were obtained for 100% of subjects analyzed.

Statistical analysis

Values are expressed as means±SD or median {interquartile range} according to distribution. Mean values were compared by Anova or Wilcoxon (as required), frequencies by Chi-square test and Cochrane-Armitage test for trend, when appropriate. The association of the TMPRSS6 p.Ala736Val variant with iron overload and the severity of liver disease was evaluated by logistic regression analysis, considering as independent variables demographic and anthropometric features and genetic variables significant at univariate analysis. P values were considered significant when ≤0.05 (two-tailed). The sample size had >90% power (p<0.05) of detecting 2-fold variation in risk of hepatic iron accumulation. Analyses were carried out with JMP 6.0 statistical analysis software (SAS Institute Inc, Cary, NC).

Results

Clinical and genetic features of patients and controls

As expected, patients with NAFLD had higher BMI, insulin resistance, dyslipidemia, ferritin levels, and liver enzymes compared to healthy controls (table 1). There was a nonsignificant trend for an increased prevalence of the p.Cys282Tyr HFE mutations in patients, whereas the prevalence of the beta-thalassemia trait was significantly higher in patients than in controls, but it represented and exclusion criterium for the control group. The frequency distribution of the p.Ala736Val TMPRSS6 variant was in Hardy-Weinberg equilibrium and not significantly different from that of healthy controls with normal iron parameters (table 1; p = ns), suggesting that, as expected, TMPRSS6 genotype is not a risk factor for NAFLD.

Effect of TMPRSS6 p.Ala736Val in patients with NAFLD

Clinical features of NAFLD patients subdivided according to the p.Ala736Val TMPRSS6 status are shown in table 2. Homozygosity for the p.736Val allele (henceforth 736V/V), previously linked to higher hepcidin release, did not influence Hb levels. However, in line with data observed in the general population, 736V/V patients without the beta-thalassemia trait had significantly lower MCV values (table 2). The 736V/V status was associated with lower ferritin levels (median 223 IQR 102–449 vs. 308 IQR 141–618 ng/ml; p = 0.01), but not with lower TS.
Table 2

Clinical features of 216 Italian patients with NAFLD subdivided according to the p.Ala736Val TMPRSS6 status.

TMPRSS6 p.Ala736ValAla/AlaAla/ValVal/Valp value
Number8210133
Sex F12 (15)18 (18)8 (24)0.48
Age years49±1148±1248±110.93
BMI Kg/m2 26.9±2.726.9±3.926.0±2.80.35
Hb g/dl° 14.7±1.214.7±1.314.6±1.50.81
MCV° 90±490±688±5* 0.10
TS %34±1633±1235±140.62
Ferritin ng/ml290 {141–590}328 {135–628}223 {102–449}* 0.08
Total cholesterol mg/dl200±39202±40199±440.92
HDL cholesterol mg/dl46±1347±1543±120.40
Triglycerides mg/dl145±82156±90140±770.55
Glucose mg/dl97±2297±2996±170.94
HOMA-IR4.0±3.24.3±3.64.0±3.20.88
ALT UI/ml49±3754±4458±350.42
GGT UI/ml72±8779±8476±870.86
Hepatocellular iron positive26 (32)22 (22)6 (18)0.08
Nonparenchymal iron positive31 (38)30 (30)7 (10)0.06
Positive iron stores39 (48)33 (33)9 (27)0.01
Steatosis >33%20 (24)16 (16)7 (21)0.46
Necroinflammation score >14 (5)2 (2)1 (3)0.80
Ballooning score >19 (11)8 (8)00.05
Fibrosis stage<117 (21)16 (16)5 (15)0.38

(): % values; BMI: body mass index; Hb: hemoglobin concentration; MCV mean corpuscular volume;

evaluated in cases negative for the beta-thalassemia trait (72 Ala/Ala, 91 Ala/Val, 31 Val/Val);

p<0.05 for Val/Val vs. Ala/Ala and Ala/Val (recessive model).

(): % values; BMI: body mass index; Hb: hemoglobin concentration; MCV mean corpuscular volume; evaluated in cases negative for the beta-thalassemia trait (72 Ala/Ala, 91 Ala/Val, 31 Val/Val); p<0.05 for Val/Val vs. Ala/Ala and Ala/Val (recessive model). Supporting a negative association with iron accumulation, 736V/V was also associated with a lower prevalence of detectable hepatic iron stores (p = 0.01). In the 55 patients (16 Ala/Ala, 31 Ala/Val, 8 Val/Val) with available hepcidin-25 measurement at the time of liver biopsy, the p.Ala736Val variant was associated with an increasing prevalence of high hepcidin (>3 nM, median value) with increasing number of 736 V alleles, despite lower iron stores (p = 0.028 for trend; figure 1A). Furthermore, H/F was higher in the 736Val positive than in negative patients (p = 0.005; figure 1B). However, this analysis is limited by lack of available data in the majority of patients considered.
Figure 1

Effect of TMPRSS6 p.A736V genotype on hepcidin levels (hepcidin <3 nM, median value, panel A) and the hepcidin/ferritin ratio (panel B) in 55 patients with NAFLD (25.5% of the whole series).

The 736V/V was associated with decreased prevalence of severe hepatocellular ballooning (p = 0.05), reflecting hepatocellular damage related to oxidative stress, despite similar steatosis, necroinflammation, and fibrosis stage (table 2).

Interaction between TMPRSS6 and HFE genotypes and effect of the beta thalassemia trait on iron metabolism in NAFLD

HFE genotypes at risk for iron overload (p.Cys282Tyr positive and His63Asp/His63Asp, n = 34) were associated with higher TS (42±12 vs. 32±12; p = 0.0004) and hepatic iron deposition (23/34, 68% vs. 58/182, 32%; p = 0.0002), and with higher serum ferritin (458 {240–622} vs. 237 {134–574} ng/ml; p = 0.08). TMPRSS6 p.Ala736Val status influenced hepatic iron deposition in patients negative, but not in those positive for HFE genotypes at risk for iron overload, whereas HFE genotypes at risk influenced hepatic iron accumulation in patients positive for the p.736Val TMPRSS6 variant (figure 2A). In contrast, p.Ala736Val status influenced ferritin levels in both patients with and without HFE genotypes at risk, although in opposite direction (figure 2B). In patients without HFE genotypes at risk, concordantly with decreased iron stores, the prevalence of hyperferritinemia was lower in 736V/V subjects, whereas in the presence of HFE genotypes at risk 736V/V was associated with increased ferritin. TS was not influenced by TMPRSS6 genotype neither in patients positive of negative for HFE genotypes at risk (not shown).
Figure 2

Combined effect of the HFE and TMPRSS6 genotypes on iron status in 216 Italian patients with NAFLD.

A) Prevalence of detectable hepatic iron deposition B) Prevalence of increased ferritin levels (>320/240 ng/ml in M/F). p values are for trend across TMPRSS6 genotypes in patients carrying HFE genotypes at risk or not. * p<0.05 vs. HFE genotypes at risk.

Combined effect of the HFE and TMPRSS6 genotypes on iron status in 216 Italian patients with NAFLD.

A) Prevalence of detectable hepatic iron deposition B) Prevalence of increased ferritin levels (>320/240 ng/ml in M/F). p values are for trend across TMPRSS6 genotypes in patients carrying HFE genotypes at risk or not. * p<0.05 vs. HFE genotypes at risk. Besides with red cell parameters (MCV 67±8 vs. 90±5 fl, p<0.0001; Hb 12.5±1.6 vs. 14.7±1.3 g/dl, p<0.0001), the beta-thalassemia trait, detected in 22 patients (10%), was associated with higher ferritin (531, 132–858 vs. 252, 131–568, p = 0.01), TS (38±10 vs. 33±12%, p = 0.03), lower H/F (2, 1–12 vs. 7, 2–18×103, p = 0.019), and hepatic iron accumulation (15/23, 65% vs. 66/193, 34%, p = 0.005).

Determinants of hepatic iron accumulation

The frequency distribution of genetic risk factors in patients with and without hepatic iron accumulation is presented in figure 3. The prevalence of beta-thalassemia trait and of HFE genotypes at risk was higher, whereas that of 736V/V TMPRSS6 was lower in patients with hepatic iron (p<0.0001).
Figure 3

Frequency distribution of genetic factors influencing iron metabolism in patients with and without hepatic iron accumulation.

Patients positive for the beta-thalassemia trait were classified as “Beta-trait”, next if negative for “Beta-trait” and positive for HFE genotypes at risk as “HFE at risk”, and among the remaining patients those homozygous for the 736V/V TMPSS6 as “736VV”, and the rest as “none”.

Frequency distribution of genetic factors influencing iron metabolism in patients with and without hepatic iron accumulation.

Patients positive for the beta-thalassemia trait were classified as “Beta-trait”, next if negative for “Beta-trait” and positive for HFE genotypes at risk as “HFE at risk”, and among the remaining patients those homozygous for the 736V/V TMPSS6 as “736VV”, and the rest as “none”. The clinical and genetic parameters associated with hepatic iron accumulation at univariate analysis are presented in table 3. The independent determinants of hepatic iron accumulation are presented in table 4. Iron parameters were excluded from the analysis in order to test the independent effect of genetic factors after correction for demographic and anthropometric features. The TMPRSS6 p.736Val allele was negatively associated with hepatic iron accumulation independently of age, gender, the presence of HFE genotypes at risk, and the beta-thalassemia trait (OR 0.59, 95% confidence interval 0.39–0.88, per each p.736Val allele).
Table 3

Relationship between clinical and genetic variables considered in the study with hepatic iron accumulation in 216 patients with NAFLD (univariate analysis).

Iron present(n = 81)Iron absent(n = 135)p value
Age50.2±1147.4±110.040
Male gender72 (89)106 (78)0.046
BMI Kg/m2 26.2±2.627.2±3.60.018
Total cholesterol mg/dl195±37204±410.11
HDL cholesterol mg/dl45±1346±140.56
Triglycerides mg/dl120 {92–165}135 {92–185}0.18
HOMA-IR3.2 {2.1–4.3}3.2 {2.3–5.2}0.18
ALT IU/ml48±4556±360.18
GGT IU/ml
CRP mg/dl0.1 {0–0.39}0.1 {0–0.45}0.83
TS%36±1132±120.016
Ferritin ng/ml536 {273–724}184 {116–384}<0.0001
HFE genotypes at risk23 (28)11 (8)0.0002
Beta-thalassemia trait15 (19)8 (6)0.006
TMPRSS6 p.Ala736Val genotype0.018
Ala/Ala39 (48)43 (32)
Ala/Val33 (41)68 (50)
Val/Val9 (11)24 (18)

ALT: alanine aminotransferases; BMI: body mass index; CRP: C reactive protein; TS%: transferrin saturation %; HFE genotypes at risk: p.Cys282Tyr positive and p.His63Asp/His63Asp.

Table 4

Independent determinants of hepatic iron accumulation in 216 patients with NAFLD at multivariate logistic regression analysis.

OR95% c.i.p value
Age1.021.01–1.040.005
Male gender3.501.46–9.360.004
BMI Kg/m2 0.940.88–1.000.044
HFE genotypes at risk4.872.18–11.40<0.0001
Beta-thalassemia trait2.951.14–8.070.025
TMPRSS6 p.736Val allele0.590.39–0.880.0099

95% c.i.: 95% confidence interval; HFE genotypes at risk: p.Cys282Tyr positive and p.His63Asp/His63Asp.

In this model, the effect of the p.Ala736Val TMPRSS6 variant was adjusted for age, gender, BMI and the other genetic factors.

ALT: alanine aminotransferases; BMI: body mass index; CRP: C reactive protein; TS%: transferrin saturation %; HFE genotypes at risk: p.Cys282Tyr positive and p.His63Asp/His63Asp. 95% c.i.: 95% confidence interval; HFE genotypes at risk: p.Cys282Tyr positive and p.His63Asp/His63Asp. In this model, the effect of the p.Ala736Val TMPRSS6 variant was adjusted for age, gender, BMI and the other genetic factors.

Discussion

In this paper, we evaluated whether the TMPRSS6 p.Ala736Val variant influencing hepcidin transcription and iron status in the general population [38], [39], [40], [41], [47], [48], affects hepatic iron overload in patients with NAFLD. The study was prompted by evidence indicating that iron overload unrelated to hepcidin dysregulation is frequently observed in patients with NAFLD [15], is favored by genetic factors [11], [12], and is associated with the severity of hepatic and vascular disease [11], [14], [29], [49]. TMPRSS6 genotype has been shown to influence iron metabolism in animal models of hereditary hemochromatosis and beta-thalassemia [50], [51], but the effect on iron overload in patients with hemochromatosis is still controversial [43], and no data were available for the effect of TMPRSS6 genotype in models of iron overload where hepcidin upregulation is preserved 15,33. In line with the experimental hypothesis, the results of the present study suggest that the p.Ala736Val variant influences the susceptibility to iron accumulation in NAFLD, even if, as expected, is not a risk factor for NAFLD. Indeed, the p.736Val “high hepcidin” allele was associated with lower ferritin levels, and most importantly with the absence of hepatic iron accumulation, i.e. with direct evidence of iron overload. However, differently from what was observed in the general population, TMPRSS6 genotype did not influence TS, which on the other hand was modulated by HFE mutations and the beta-thalassemia trait. Notably, the negative association with the presence of hepatic iron accumulation was independent of demographic features, such as age and gender, and of other genetic factors (HFE mutations and the beta thalassemia trait). Although hepcidin was measured by mass spectrometry in a minority of subjects (only about one quarter), the available data suggest that the mechanism linking the p.736Val allele to protection from iron overload is related to increased serum hepcidin levels (despite lower iron stores), which is consistent with data indicating that this genetic variant positively influences hepcidin transcription [38]. It can be hypothesized that the effect of the p.736 V variant on hepcidin levels is magnified in NAFLD patients by the induction of hepcidin transcription due to overweight, liver steatosis, and subclinical inflammation [15]. However, given the aforementioned limitations, these data should be interpreted with caution. Therefore, the main results of the present manuscript is that TMPRSS6 p.Ala736Val variant influences iron accumulation even in secondary iron overload disorders which are not caused by a deficit in the upregulation of hepcidin in response to iron, such as hereditary hemochromatosis. The TMPRSS6 p.Ala736Val variant may thus represent a modifier of iron overload in other conditions, besides in NAFLD, characterized by altered iron trafficking such as chronic inflammatory diseases, the anemia of chronic diseases, and possibly some neurologic diseases characterized by altered iron compartmentalization [32]. Interestingly, the effect of TMPRSS6 on the presence of detectable hepatic iron was more marked in subjects negative for HFE genotypes predisposing to iron overload, suggesting that HFE mutations may have a dominant effect at least in the NAFLD setting, but the study was not powered enough to test the interaction between these genetic factors. An interesting collateral finding was that, as expected based on the previous results, 736V/V homozygosity was associated with a lower prevalence of hyperferritinemia in patients without HFE at risk, but was paradoxically associated with higher ferritin levels without altering hepatic iron stores in patients with HFE mutations increasing iron absorption. These data suggest that the single evaluation of traditional serum iron parameters may not be sufficient to study the interaction between HFE and TMPRSS6 in the regulation of iron metabolism. Indeed, HFE and TMPRSS6 genotypes influenced different iron parameters (TS and ferritin respectively), and the phenotypes were modified when mutations occurred together, suggesting that HFE and TMPRSS6 variants alter iron trafficking by partially different mechanisms. It could be speculated that the TMPRSS6 p.736Val variant promotes a shift in iron balance towards macrophages and ferritin secretion by facilitating hepcidin release and iron fluxes towards macrophages. This would lead to an overestimation of iron stores, in particular in subjects with HFE mutations predisposing to increased iron absorption by mechanisms partially independent of hepcidin [41]. This hypothesis should be taken into account when evaluating the effect of TMPRSS6 on iron overload disorders, leaving as the most reliable markers iron removed to depletion and the direct assessment of hepatic iron. Notwithstanding, in the overall series of patients the negative association (with borderline significance) between the p.736Val variant and the presence of detectable hepatic iron was paralleled by decreased levels of hepatocellular ballooning, a typical manifestation of oxidative stress in NAFLD [52], which is possibly related to iron status. However, these associations, that need to be confirmed in larger studies including patients from different geographic areas, did not translate into increased severity of liver fibrosis, possibly due to the limited number of subjects with advanced liver disease included in this study.

Conclusions

In conclusion, the p.Ala736Val TMPRSS6 variant influences hepatic iron accumulation in patients with NAFLD, likely by influencing hepcidin levels, indicating that TMPRSS6 genotype affects iron accumulation related to altered iron trafficking.
  50 in total

1.  Liver iron excess in patients with hepatocellular carcinoma developed on non-alcoholic steato-hepatitis.

Authors:  Paolo Sorrentino; Salvatore D'Angelo; Umberto Ferbo; Pietro Micheli; Alessandra Bracigliano; Raffaela Vecchione
Journal:  J Hepatol       Date:  2008-11-14       Impact factor: 25.083

Review 2.  Iron-refractory iron deficiency anemia.

Authors:  Karin E Finberg
Journal:  Semin Hematol       Date:  2009-10       Impact factor: 3.851

Review 3.  Macrophage iron, hepcidin, and atherosclerotic plaque stability.

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Review 4.  Hemochromatosis: an endocrine liver disease.

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Journal:  Hepatology       Date:  2007-10       Impact factor: 17.425

Review 5.  Matriptase-2 (TMPRSS6): a proteolytic regulator of iron homeostasis.

Authors:  Andrew J Ramsay; John D Hooper; Alicia R Folgueras; Gloria Velasco; Carlos López-Otín
Journal:  Haematologica       Date:  2009-04-18       Impact factor: 9.941

6.  Genome-wide association study identifies variants in TMPRSS6 associated with hemoglobin levels.

Authors:  John C Chambers; Weihua Zhang; Yun Li; Joban Sehmi; Mark N Wass; Delilah Zabaneh; Clive Hoggart; Henry Bayele; Mark I McCarthy; Leena Peltonen; Nelson B Freimer; Surjit K Srai; Patrick H Maxwell; Michael J E Sternberg; Aimo Ruokonen; Gonçalo Abecasis; Marjo-Riitta Jarvelin; James Scott; Paul Elliott; Jaspal S Kooner
Journal:  Nat Genet       Date:  2009-10-11       Impact factor: 38.330

7.  Pathways underlying iron accumulation in human nonalcoholic fatty liver disease.

Authors:  Elmar Aigner; Igor Theurl; Milan Theurl; Dieter Lederer; Heike Haufe; Otto Dietze; Michael Strasser; Christian Datz; Guenter Weiss
Journal:  Am J Clin Nutr       Date:  2008-05       Impact factor: 7.045

8.  Risk of severe liver disease in nonalcoholic fatty liver disease with normal aminotransferase levels: a role for insulin resistance and diabetes.

Authors:  Anna Ludovica Fracanzani; Luca Valenti; Elisabetta Bugianesi; Marco Andreoletti; Agostino Colli; Ester Vanni; Cristina Bertelli; Erika Fatta; Daniela Bignamini; Giulio Marchesini; Silvia Fargion
Journal:  Hepatology       Date:  2008-09       Impact factor: 17.425

9.  Common variants in TMPRSS6 are associated with iron status and erythrocyte volume.

Authors:  Beben Benyamin; Manuel A R Ferreira; Gonneke Willemsen; Scott Gordon; Rita P S Middelberg; Brian P McEvoy; Jouke-Jan Hottenga; Anjali K Henders; Megan J Campbell; Leanne Wallace; Ian H Frazer; Andrew C Heath; Eco J C de Geus; Dale R Nyholt; Peter M Visscher; Brenda W Penninx; Dorret I Boomsma; Nicholas G Martin; Grant W Montgomery; John B Whitfield
Journal:  Nat Genet       Date:  2009-10-11       Impact factor: 38.330

10.  Advances in quantitative hepcidin measurements by time-of-flight mass spectrometry.

Authors:  Dorine W Swinkels; Domenico Girelli; Coby Laarakkers; Joyce Kroot; Natascia Campostrini; Erwin H J M Kemna; Harold Tjalsma
Journal:  PLoS One       Date:  2008-07-16       Impact factor: 3.240

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  20 in total

Review 1.  Genetic background in nonalcoholic fatty liver disease: A comprehensive review.

Authors:  Fabio Salvatore Macaluso; Marcello Maida; Salvatore Petta
Journal:  World J Gastroenterol       Date:  2015-10-21       Impact factor: 5.742

Review 2.  Dysregulation of iron and copper homeostasis in nonalcoholic fatty liver.

Authors:  Elmar Aigner; Günter Weiss; Christian Datz
Journal:  World J Hepatol       Date:  2015-02-27

3.  A randomized trial of iron depletion in patients with nonalcoholic fatty liver disease and hyperferritinemia.

Authors:  Luca Valenti; Anna Ludovica Fracanzani; Paola Dongiovanni; Serena Rovida; Raffaela Rametta; Erika Fatta; Edoardo Alessandro Pulixi; Marco Maggioni; Silvia Fargion
Journal:  World J Gastroenterol       Date:  2014-03-21       Impact factor: 5.742

Review 4.  Composite prognostic models across the non-alcoholic fatty liver disease spectrum: Clinical application in developing countries.

Authors:  Hilmar K Lückhoff; Frederik C Kruger; Maritha J Kotze
Journal:  World J Hepatol       Date:  2015-05-28

5.  Dehydroabietic acid improves nonalcoholic fatty liver disease through activating the Keap1/Nrf2-ARE signaling pathway to reduce ferroptosis.

Authors:  Gai Gao; Zhishen Xie; Er-Wen Li; Yong Yuan; Yu Fu; Pan Wang; Xiaowei Zhang; Yonghui Qiao; Jiangyan Xu; Christian Hölscher; Hui Wang; Zhenqiang Zhang
Journal:  J Nat Med       Date:  2021-02-15       Impact factor: 2.343

6.  PCSK7 gene variation bridges atherogenic dyslipidemia with hepatic inflammation in NAFLD patients.

Authors:  Paola Dongiovanni; Marica Meroni; Guido Baselli; Rosellina M Mancina; Massimiliano Ruscica; Miriam Longo; Raffaela Rametta; Annalisa Cespiati; Serena Pelusi; Nicola Ferri; Valeria Ranzani; Valerio Nobili; Jussi Pihlajamaki; Anna Ludovica Fracanzani; Sara Badiali; Salvatore Petta; Silvia Fargion; Stefano Romeo; Julia Kozlitina; Luca Valenti
Journal:  J Lipid Res       Date:  2019-03-27       Impact factor: 5.922

Review 7.  Iron-Induced Hepatocarcinogenesis-Preventive Effects of Nutrients.

Authors:  Hiroyuki Tsuchiya
Journal:  Front Oncol       Date:  2022-06-27       Impact factor: 5.738

Review 8.  MicroRNAs and liver cancer associated with iron overload: therapeutic targets unravelled.

Authors:  Catherine M Greene; Robert B Varley; Matthew W Lawless
Journal:  World J Gastroenterol       Date:  2013-08-28       Impact factor: 5.742

9.  The A736V TMPRSS6 polymorphism influences hepcidin and iron metabolism in chronic hemodialysis patients: TMPRSS6 and hepcidin in hemodialysis.

Authors:  Serena Pelusi; Domenico Girelli; Raffaela Rametta; Natascia Campostrini; Carlo Alfieri; Michela Traglia; Paola Dongiovanni; Giovanna Como; Daniela Toniolo; Clara Camaschella; Piergiorgio Messa; Silvia Fargion; Luca Valenti
Journal:  BMC Nephrol       Date:  2013-02-22       Impact factor: 2.388

Review 10.  Genetic Factors in the Pathogenesis of Nonalcoholic Fatty Liver and Steatohepatitis.

Authors:  Paola Dongiovanni; Stefano Romeo; Luca Valenti
Journal:  Biomed Res Int       Date:  2015-07-27       Impact factor: 3.411

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