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Proteomics and Protein Markers |
1 Department of Clinical Chemistry, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands.
2 Ciphergen Biosystems, Inc., Fremont, CA.
aAddress correspondence to this author at: Department of Clinical Chemistry 441, Radboud University Nijmegen Medical Centre, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands. Fax 31 (0) 24-3541743; e-mail: e.kemna{at}akc.umcn.nl.
| Abstract |
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Methods: We used SELDI-TOF MS, immunocapture, and tandem MS to identify and characterize hepcidin in serum and urine. In addition to diagnostic application, we investigated analytical reproducibility and biological and preanalytical variation for both serum and urine on Normal Phase 20 and Immobilized Metal Affinity Capture 30 ProteinChip arrays. We obtained samples from healthy controls and patients with documented iron-deficiency anemia, inflammation-induced anemia, thalassemia major, and hereditary hemochromatosis.
Results: Proteomic techniques showed that hepcidin-20, -22, and -25 isoforms are present in urine. Hepcidin-25 in serum had the same amino acid sequence as hepcidin-25 in urine, whereas hepcidin-22 was not detected in serum. The interarray CV was 15% to 27%, and interspot CV was 11% to 13%. Preliminary studies showed that hepcidin-25 differentiated disorders of iron metabolism. Urine hepcidin is more affected by multiple freeze-thaw cycles and storage conditions, but less influenced by diurnal variation, than is serum hepcidin.
Conclusion: SELDI-TOF MS can be used to measure hepcidin in both serum and urine, but serum requires a standardized sampling protocol.
| Introduction |
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| Materials and Methods |
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8.3 mmol/L men,
7.3 mmol/L women; mean corpuscular volume
80 fL; ferritin
10 µg/L), and thalassemia major patients treated with chelation therapy. The patients were recruited by their physicians during outpatient clinic visits (all in Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands, except for the thalassemia major patients, who were in Ospedale SantEugenio, Rome, Italy). Endotoxemia samples from volunteers injected with lipopolysaccharide were selected from a human endotoxemia project (10). Written informed consent was obtained from all study participants, according to the Declaration of Helsinki. Characteristics of the study participants are shown in Table 1
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We collected samples randomly between December 2005 and June 2006, at no specified time of day, except from the endotoxemia patients, from whom samples were collected according to a tight time schedule (10)(13). Urine and blood samples were centrifuged immediately after collection, divided into aliquots to avoid multiple freeze-thaw cycles, and stored at 80 °C. We performed the hepcidin assay within 2 months after collection.
laboratory measurements
Using an Abbott Aeroset analyzer, we measured total serum iron and latent iron binding capacity by the ascorbate/FerroZine colorimetric method, urine creatinine by enzymatic/colorimetric detection (Roche Diagnostics), and C-reactive protein by immunologic agglutination detection with latex-coupled polyclonal antiC-reactive protein antibodies (Abbott Laboratories). We quantified serum ferritin by a solid-phase, 2-site chemiluminescent immunometric assay (Immulite 2000 and 2500, Diagnostic Products Corp.) and routine hematology characteristics by use of a Sysmex XE-2100 analyzer.
seldi-tof ms
We performed nonblinded hepcidin measurements by use of SELDI-TOF MS as previously reported (8). In brief, a 5-µL sample was applied to Immobilized Metal Affinity Capture 30 (IMAC30), Normal Phase 20 (NP20), or cation exchange ProteinChip arrays (CM10), all equilibrated with appropriate buffers according to the manufacturers instructions (Ciphergen Biosystems). Loaded arrays were incubated in a humidity chamber for 30 min and then washed according to the manufacturers instructions and air-dried for 15 min. Finally, 1 µL energy-absorbing matrix (EAM), made up of a 12.5 g/L solution of sinapinic acid in 500 mL/L acetonitrile (ACN) containing 5 mL/L trifluoroacetic acid (TFA), was applied twice onto each spot surface with the use of polymer-free polypropylene pipette tips and allowed to air-dry for 5 min. Mass-to-charge (m/z) spectra were generated using a Ciphergen Protein Biology System IIc TOF mass spectrometer at laser intensity 180 (NP20 and CM10) or 175 (IMAC30); detector sensitivity 9; high mass to acquire 50 kDa; optimization interval 1500 to 10 000 Da. External mass calibration was performed with a mixture of synthetic human hepcidin-25 peptide (2789.4 Da, Peptides International), hepcidin-22, and hepcidin-20 (2436.1 and 2191.8 Da, respectively; kindly provided by E. Nemeth, University of California, Los Angeles). Peak annotation was performed with Ciphergen ProteinChip Software version 3.2.0. From unpublished experiments we found that for serum and urine, normalization to total ion current (TIC) did not improve the hepcidin measurements and was therefore not applied in this study. Urine hepcidin measurements showed a relationship with TIC and total peptide content, which was predominated by hepcidin under the applied experimental conditions and instrumental settings (data not shown). Consequently, normalization of urine hepcidin values to TIC leads to loss of differentiation between samples. In contrast, due to the relatively stable protein content of serum samples, the serum hepcidin concentrations did not significantly change upon normalization to TIC (unpublished observations). Although the reabsorption and excretion characteristics of hepcidin are unclear, we used urinary creatinine to normalize all peak intensities for hepcidin-25 in urine. Normalization on creatinine is a prerequisite for comparison of urine hepcidin measurements because it is the best method to correct for the highly fluctuating concentration differences between urine samples. Relative concentrations were expressed as mega-intensity units per millimole of creatinine. Relative concentrations of serum hepcidin-25 were expressed as mega-intensity units per liter. Information on the assay can be found on: www.UMCN.NL/Hepcidin.
purification of peptides from serum and urine
We first fractionated serum samples by use of spin columns containing Q HyperD F resin (Pall Corp.), eluted the flow-through fraction by centrifugation, and eluted bound proteins with buffers of pH 9, 7, 5, 4, and 3. We analyzed fractions by use of IMAC30 arrays. Every serum fraction or urine sample was adjusted to final concentrations of 5% ACN and 0.5% TFA and bound to PLRP-S beads (Polymer Laboratories, Varian). Bound proteins were eluted with 5%, 10%, 20%, 30%, 40%, 50%, and 60% ACN solutions containing 0.1% TFA. We detected proteins in eluted fractions by profiling 1 µL of each fraction on an NP20 array using Protein Biology System IIc MS.
identification of peptides by tandem mass spectrometry
We analyzed peptides of interest for the presence of disulfide bonds. Aliquots of the 30% ACN fractions were air-dried on an NP20 array. A solution containing 10 mmol/L dithiothreitol (DTT) in 50 mmol/L ammonium bicarbonate, and the sample loaded arrays, was preheated to 70 °C. Then we loaded 10-µL aliquots of the DTT solution onto the spots and air-dried them at 70 °C. After complete evaporation of solutions and cooling to room temperature, we applied EAM. We acquired single MS spectra for unreduced and DTT-reduced samples by use of a Q-STARXL MS/MS (Applied Biosystems) equipped with a Ciphergen PCI-1000 ProteinChip Interface. We used the reduced samples to acquire tandem mass spectrometry (MS/MS) spectra. We subjected the ions of interest (m/z values of 2198 for hepcidin-20, 2442 for hepcidin-22, and 2796 for hepcidin-25) to collision-induced dissociation and submitted the results to the database-mining tool Mascot (Matrix Science) for peptide identification.
immunocapture
We captured hepcidin from urinary samples by use of Protein G coupled to IDM beads (Ciphergen Biosystems) and polyclonal rabbit antihepcidin serum (generous gift from E. Nemeth and T. Ganz, University of California, Los Angeles). We performed all incubation steps at room temperature. Protein G beads were first incubated with rabbit antiserum diluted 20 times in 0.01 mol/L phosphate-buffered saline (PBS; Sigma-Aldrich Chemie BV) supplemented with 0.1% Triton X-100 (PBS-Tx). We washed the beads 3 times with PBS-Tx to remove unbound serum proteins and resuspended the beads in urine, diluted 20 times in PBS containing a final concentration of 0.25 mol/L NaCl and 0.1% Triton X-100 (PBS0.25-Tx). We washed the beads 6 times with PBS0.25-Tx to remove unbound and nonspecifically bound proteins. Finally, we eluted bound proteins with 500 mL/L ACN containing 3 mL/L TFA. To obtain profiles of Protein Gcaptured proteins, we applied eluates to a CM10 array equilibrated with 0.1 mol/L ammonium acetate (pH 3) and incubated them for 30 min in a humidity chamber. To obtain reference spectra, we diluted untreated urine samples once in equilibration buffer before on-spot incubation. Spots were washed, allowed to air-dry, and followed by sinapinic acid application.
analytical assay characteristics
We performed spot-to-spot precision for hepcidin-25 on NP20 and IMAC30 ProteinChip array with 2 human urine samples with medium and high hepcidin concentrations. Both samples were applied onto the first 6 positions of the 8-spot array, followed by addition of the EAM. The last 2 spots were used for control samples. For serum, we followed the same procedure for a single sample.
We used the same urine and serum samples for a chip-to-chip reproducibility study. We collected single measurements for serum and urine on NP20 and IMAC30 array types from randomized chip positions for 10 days (8 days for serum application on NP20 arrays). Every day a new sample aliquot was thawed, and freshly prepared EAM was applied. From these data, we calculated means, SDs, and CVs.
We measured linearity of peak intensities by dilution of the urine and serum samples used for the reproducibility tests with human urine or serum (dilution samples) from a patient with hepcidin concentrations below those detectable by SELDI-TOF MS. Immediately before sample application, we diluted 1 to 18 µL sample in a polypropylene microcentrifuge container to a 20 µL end volume with the dilution sample. After pipette mixing, 5 µL of the diluted sample was spotted on the array.
We created standard curves of synthetic hepcidin-25 for both serum and urine applications. After dissolving the lyophilized peptide in distilled water (100 µmol/L), the peptide was diluted 4500-fold with dilution sample for serum or urine (22.2 nmol/L). Dilutions of 18, 16, 12, 8, 4, 2, and 1 µL of the 22.2 nmol/L solution with the dilution sample to the final volume of 20 µL yielded a standard curve ranging from 22.2 to 1.11 nmol/L.
preanalytical and biological interferences
We evaluated the influence of multiple freeze-thaw cycles for both serum and urine using IMAC30 arrays. Five sera and 4 urine samples from different participants and different intensity concentrations underwent 4 freeze-thaw cycles. After every cycle, we analyzed hepcidin batchwise by single measurement.
We studied the existence of a circadian rhythm for hepcidin in serum and urine by performing a 24-h time course in 3 healthy volunteers (1 man, 2 women). Blood and urine were collected every 3 h for analysis of routine iron measurements and serum and urine hepcidin (IMAC30 array), starting at 6:00 AM with fasting blood and urine samples, after which the fasting state was ended. All samples were processed as described above and stored at 80 °C before analysis (batchwise by single measurement).
statistic analysis
We performed statistical analyses with GraphPad Prism software, version 4.0. Pearson correlation was used for comparison studies. P values <0.05 were considered significant.
| Results |
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In addition to mass tracing, we investigated immunocapture of all 3 known forms of hepcidin from urine. Immunoaffinity assays using polyclonal rabbit antihepcidin antibodies [the same as those used in hepcidin dotblot assay (7)] showed that the 3 peaks annotated as hepcidin-25, -22, and -20 can be specifically captured from a human urine sample of a healthy individual (Fig. 1B
). MS/MS analysis of peptides in a urine sample from an endotoxemia patient confirmed that the peaks with m/z of 2198, 2442, and 2796 corresponded to hepcidin-20, -22, and -25, respectively (see Fig. 1A in the online Data Supplement). Similarly, we identified the m/z 2796 peak in serum as hepcidin-25. Notably, single MS spectra of urine and serum samples displayed a mass shift of +8 Da for all hepcidin forms after reduction with DTT, as exemplified for urine hepcidin-25 (see Fig. 1B in the online Data Supplement). This observation confirms the presence of 4 disulfide bonds in these peptides, which is a typical characteristic of hepcidin (15). Finally, the MS/MS spectra for serum and urine peptides with m/z of 2796 displayed mostly the same fragment ions, strongly suggesting that both parent ions corresponded to the same peptide hepcidin-25 (see Fig. 1C in the online Data Supplement).
analysis of serum and urine hepcidin-25 on np20 and imac30 proteinchip arrays
Because the roles of hepcidin-20 and -22 in iron metabolism are unclear (2)(14), hepcidin-25 is used for optimization of serum and urine hepcidin measurements. To evaluate the effect of ProteinChip array type on the performance of the hepcidin-25 assay, we analyzed 73 urine and serum sample pairs from controls and patients with various iron metabolism disorders using the previously reported NP20 and IMAC30 arrays (8)(9). Although hepcidin concentrations measured using NP20 arrays are lower than those measured with IMAC30 arrays, both arrays correlate for the urinary application (R = 0.928, P <0.0001; Pearson correlation; Fig. 2A
). Sensitivity was higher with the use of IMAC30 compared with the NP20 arrays, likely because of highly specific binding of hepcidin to the IMAC-Cu surface. In contrast to the IMAC30 arrays, NP20 arrays did not bind detectable concentrations of serum hepcidin-25; therefore, we could not perform correlation analyses for serum and urine on NP20 arrays. In contrast, IMAC30 arrays showed a significant correlation (R = 0.822, P <0.0001; Pearson correlation; Fig. 2B
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Chip-to-chip variation of the urine application for IMAC30 ranged from 22% at a high intensity of 48 to 27.5% at a lower intensity of 20 (Table 2
), whereas NP20 variation reached 34% for the same samples. Precision was also better for urine hepcidin measurements using the IMAC30 chip (CVs 11% and 13%) compared with the NP20 chip (CVs of 16% and 23%; Table 2
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For serum, the reproducibility was strongly affected by differences in protein binding capacity of both arrays. Intensities measured from the same sample differed, from an intensity of 5 with relatively high CVs on NP20 array to an intensity of 50 with low CVs on IMAC30 array. We checked the linearity of the urinary and serum hepcidin application on IMAC30 array by measuring a dilution series of urine and serum samples from an inflammation patient (single measurements). Fig. 2, A and B, in the online Data Supplement shows a high degree of linearity for both urine and serum (R = 0.993 and 0.971, respectively). Intensity values >55 seem to deviate from linearity, perhaps because of MS detector saturation. Therefore, an intensity value of 55 was considered to be the upper level of detection.
The construction of a calibration curve with synthetic human hepcidin-25 showed that both NP20 and IMAC30 arrays are capable of producing a 6-point calibration curve based on a urine matrix (see Fig 2, C and D, in the online Data Supplement). Again, intensity values >55 deviated from linearity and therefore were considered as exceeding the upper level of detection. Construction of the same concentration interval on IMAC30 array in a serum matrix showed hepcidin-25 only for a concentration of 22.2 nmol/L and above (results not shown).
diagnostic application
We categorized urine and serum sample pairs into 5 groups after clinical diagnosis. Fig. 3
shows that, despite the variation within each group and a slight overlap, differentiation between inflammation-induced and iron deficiency anemia is clear for both serum and urine hepcidin concentrations measured on IMAC30 array. The results are comparable with the results obtained with NP20 and consistent with previous reports (7)(8). The broad ranges of the thalassemia group and the hemochromatosis group are in accordance with the individual heterogeneity in genetic makeup, extent of anemia, and treatment (16)(17)(18).
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In this study, we found serum and urine hepcidin concentrations close to zero in 2 brothers treated for juvenile hemochromatosis (OMIM type 2a) and values in the upper level of the reference range for a patient treated for ferroportin disease (OMIM type 4; see Table 1 in the online Data Supplement). These data confirm the potential of hepcidin analysis in prescreening for the presence of non-HFE hemochromatosis.
preanalytical and biological determinants that influence hepcidin-25 measurements in serum and urine
Decreases in hepcidin concentrations in serum samples due to multiple freeze-thaw cycles is of minor importance compared with those in urine (see Fig. 3 in the online Data Supplement). Preliminary results from urine samples stored at 80 °C and 20 °C during a 6-month course showed that (a) hepcidin was stable only at 80 °C and (b) addition of protease inhibitor phenylmethylsulfonyl fluoride (19) had no beneficial effect (unpublished observations).
Hepcidin concentrations in serum follow a clear circadian rhythm, such that the concentrations were 2- to 6-fold higher at 1500 than at 0600. Urinary concentrations, however, show a more blunted response, and thus less diurnal variation. The course of serum iron shows an inverse association with serum and urine hepcidin values (Fig. 4
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| Discussion |
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The total assay variation includes analytical variation, biological or diurnal variation, and preanalytical variation, all contributing to the widening of ranges of the clinical utility clusters. In the future, we plan to routinely perform duplicate measurements and investigate isotope dilution (20) or hepcidin derivatives as internal standards to reduce analytical variability.
Biological variation in hepcidin concentrations due to a circadian rhythm correlated inversely with daily variations in serum iron concentrations (21), in accordance with previous reports that transferrin receptors 1 and 2 on the outer hepatocyte membrane act as sensors of circulating iron and TS, thereby linking low serum iron with increased hepcidin synthesis (22)(23). Circadian rhythm may also lead to important variation in outcome if sampling time is not standardized, thereby contributing to the wide variation in hepcidin concentrations of the control population (Fig. 3C
). Sampling according to protocol led to decreased variation in hepcidin concentrations within the lipopolysaccharide group. The low variation within the iron deficiency anemia group is likely to be due to the dominant down-regulating influence of an iron-deficient erythropoiesis on hepcidin that prevents circadian increases.
Variation in hepcidin results is also attributable to preanalytical conditions. According to our preliminary results, urine samples are more susceptible than serum to variation from multiple freeze-thaw cycles, which should be avoided, and urine samples should be stored at 80 °C as soon as possible (24)(25).
Measurement of serum and urine hepcidin by the same technique, and under the same circumstances, enabled comparison of serum with urinary values. Although their association was strong, confirming the previously reported correlation between hepcidin mRNA expression in liver cells and urinary hepcidin excretion (26), differences in serum and urine composition prohibit absolute comparison of analytical characteristics such as binding competition on the array surface and flight behavior during SELDI-TOF MS analysis (27). Aspects such as ionization efficiency or ion suppression also can play a role and should be investigated in future studies. Meanwhile, differences in specimen behavior preclude calculations of the kinetics of hepcidin release by hepatocytes and its excretion from the blood into the urine. Construction of a calibration curve by addition of the same amount of hepcidin-25 to serum or diluted urine confirms this effect, leading to speculation that a binding protein in serum prevents the binding of free hepcidin on the chip surface at low concentrations (27). To circumvent differences in binding characteristics or possible matrix interferences, methodologic approaches such as plasma fractionation (27) or the use of magnetic reversed-phase beads (28) have to be investigated for utility on hepcidin measurements.
Our reported SELDI-TOF MS method detected all 3 isoforms of hepcidin, improved urinary hepcidin analysis, and enabled measurement of serum hepcidin by IMAC30 array. We show for the first time a high correlation of concentrations measured in corresponding serum and urine samples. Selection of the optimal body fluid for analysis, however, is influenced by preanalytical, analytical, and biological variations that effect serum and urine differently. Urine is more vulnerable to multiple freeze-thaw cycles and storage temperatures other than 80 °C but less influenced by diurnal variation. Serum is more susceptible to circadian variation, and therefore standardization of sampling time is needed in clinical studies with serum. Serum is likely to be more sensitive than urine, however, for monitoring short-term kinetics of body hepcidin concentrations. Therefore, the specimen of first choice depends on study design and practical aspects such as availability of materials and equipment. The ability to measure hepcidin in both serum and urine confirms that the learning process on hepcidin characteristics, kinetics, and clinical utility has only just begun.
| Acknowledgments |
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| Footnotes |
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2 Human gene: HFE, hemochromatosis. ![]()
| References |
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The following articles in journals at HighWire Press have cited this article:
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T. Ganz, G. Olbina, D. Girelli, E. Nemeth, and M. Westerman Immunoassay for human serum hepcidin Blood, November 15, 2008; 112(10): 4292 - 4297. [Abstract] [Full Text] [PDF] |
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J. F. Collins, M. Wessling-Resnick, and M. D. Knutson Hepcidin Regulation of Iron Transport J. Nutr., November 1, 2008; 138(11): 2284 - 2288. [Abstract] [Full Text] [PDF] |
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C. Adlbrecht, S. Kommata, M. Hulsmann, T. Szekeres, C. Bieglmayer, G. Strunk, G. Karanikas, R. Berger, D. Mortl, K. Kletter, et al. Chronic heart failure leads to an expanded plasma volume and pseudoanaemia, but does not lead to a reduction in the body's red cell volume Eur. Heart J., October 1, 2008; 29(19): 2343 - 2350. [Abstract] [Full Text] [PDF] |
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J. Kanda, C. Mizumoto, H. Kawabata, H. Tsuchida, N. Tomosugi, K. Matsuo, and T. Uchiyama Serum hepcidin level and erythropoietic activity after hematopoietic stem cell transplantation Haematologica, October 1, 2008; 93(10): 1550 - 1554. [Abstract] [Full Text] [PDF] |
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U. Kobold, T. Dulffer, M. Dangl, A. Escherich, M. Kubbies, R. Roddiger, and J. A. Wright Quantification of Hepcidin-25 in Human Serum by Isotope Dilution Micro-HPLC-Tandem Mass Spectrometry Clin. Chem., September 1, 2008; 54(9): 1584 - 1586. [Full Text] [PDF] |
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F. Guillem, S. Lawson, C. Kannengiesser, M. Westerman, C. Beaumont, and B. Grandchamp Two nonsense mutations in the TMPRSS6 gene in a patient with microcytic anemia and iron deficiency Blood, September 1, 2008; 112(5): 2089 - 2091. [Abstract] [Full Text] [PDF] |
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D. W. Swinkels and J. F. M. Wetzels Hepcidin: a new tool in the management of anaemia in patients with chronic kidney disease? Nephrol. Dial. Transplant., August 1, 2008; 23(8): 2450 - 2453. [Full Text] [PDF] |
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N. C. Andrews Forging a field: the golden age of iron biology Blood, July 15, 2008; 112(2): 219 - 230. [Full Text] [PDF] |
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E. H.J.M. Kemna, H. Tjalsma, H. L. Willems, and D. W. Swinkels Hepcidin: from discovery to differential diagnosis Haematologica, January 1, 2008; 93(1): 90 - 97. [Abstract] [Full Text] [PDF] |
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B. A. C. van Dijk, E. H. J. M. Kemna, H. Tjalsma, S. M. Klaver, E. T. G. Wiegerinck, J.-P. Goossens, P. H. Th. J. Slee, M. H. Breuning, and D. W. Swinkels Effect of the new HJV-L165X mutation on penetrance of HFE Blood, June 15, 2007; 109(12): 5525 - 5526. [Full Text] [PDF] |
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