Literature DB >> 16146537

Soluble transferrin receptor and zinc protoporphyrin--competitors or efficient partners?

Georgia Metzgeroth1, Verena Adelberger, Alexandra Dorn-Beineke, Christian Kuhn, Michael Schatz, Ole Maywald, Thomas Bertsch, Hermann Wisser, Rüdiger Hehlmann, Jan Hastka.   

Abstract

OBJECTIVES: Soluble transferrin receptor (sTfR) and zinc protoporphyrin (ZPP) are both parameters of iron deficient erythropoiesis (IDE), the sTfR measurement is commonly regarded to be the more sensitive test. sTfR also reflects erythropoietic activity, it is increased in enhanced erythropoiesis.
METHODS: We investigated the diagnostic accuracy of sTfR in assessment of iron deficiency (ID) and compared it with ZPP. The study was performed on 174 subjects, in which ID has been precisely staged.
RESULTS: Individuals without ID and patients with storage iron depletion only, had normal sTfR values. Patients classified as IDE and patients with iron deficiency anemia had significantly increased sTfR. There was a good correlation between sTfR and hemoglobin (r = -0.86; P < 0.0001) and between sTfR and ZPP (r = 0.86; P < 0.0001). When diagnosing ID, ZPP was the more sensitive test. In mildly developed IDE associated with ZPP-ratios between 40 and 70 micromol/mol heme, the sTfR concentration was elevated in only 25% of the cases. Reliably elevated sTfR values were observed only in more advanced IDE, associated with ZPP > 70 mumol/mol heme.
CONCLUSIONS: ZPP is not inferior to sTfR when diagnosing IDE. Given the good correlation between sTfR and ZPP and because ZPP is uninfluenced by the erythropoietic activity, sTfR and ZPP are not competitors, rather efficient partners in diagnosing anemias. By measuring ZPP and sTfR simultaneously, the diagnostic uncertainty inherent in each of them individually can be eliminated. In particular, the simultaneous determination of ZPP and sTfR enhances the diagnostic power of sTfR in assessment of the erythropoietic activity.

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Year:  2005        PMID: 16146537     DOI: 10.1111/j.1600-0609.2005.00515.x

Source DB:  PubMed          Journal:  Eur J Haematol        ISSN: 0902-4441            Impact factor:   2.997


  10 in total

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Authors:  C G de Waal; L Uijterschout; M Abbink; B Boersma; P Vos; W W Rövekamp; F Hudig; M D Akkermans; J B van Goudoever; F Brus
Journal:  J Perinatol       Date:  2017-02-09       Impact factor: 2.521

2.  Iron status biomarkers in iron deficient women consuming oily fish versus red meat diet.

Authors:  S Navas-Carretero; A M Pérez-Granados; S Schoppen; B Sarria; A Carbajal; M P Vaquero
Journal:  J Physiol Biochem       Date:  2009-06       Impact factor: 4.158

3.  Hepcidin expression in anemia of chronic disease and concomitant iron-deficiency anemia.

Authors:  Pan-pan Cheng; Xiao-yang Jiao; Xue-hua Wang; Jing-hua Lin; Ying-mu Cai
Journal:  Clin Exp Med       Date:  2010-05-25       Impact factor: 3.984

4.  Environmental risk factors for iron deficiency anemia in children 12-24 months old in the area of Thessalia in Greece.

Authors:  E Tympa-Psirropoulou; C Vagenas; O Dafni; A Matala; F Skopouli
Journal:  Hippokratia       Date:  2008       Impact factor: 0.471

5.  Evaluation of iron status in European adolescents through biochemical iron indicators: the HELENA Study.

Authors:  M Ferrari; L Mistura; E Patterson; M Sjöström; L E Díaz; P Stehle; M Gonzalez-Gross; M Kersting; K Widhalm; D Molnár; F Gottrand; S De Henauw; Y Manios; A Kafatos; L A Moreno; C Leclercq
Journal:  Eur J Clin Nutr       Date:  2011-01-19       Impact factor: 4.016

6.  Obesity modulate serum hepcidin and treatment outcome of iron deficiency anemia in children: a case control study.

Authors:  Mohammed Sanad; Mohammed Osman; Amal Gharib
Journal:  Ital J Pediatr       Date:  2011-07-19       Impact factor: 2.638

7.  Urinary hepcidin level as an early predictor of iron deficiency in children: A case control study.

Authors:  Mohammed Sanad; Amal F Gharib
Journal:  Ital J Pediatr       Date:  2011-08-11       Impact factor: 2.638

Review 8.  Evaluation and treatment of iron deficiency anemia: a gastroenterological perspective.

Authors:  Amy Zhu; Marc Kaneshiro; Jonathan D Kaunitz
Journal:  Dig Dis Sci       Date:  2010-01-27       Impact factor: 3.199

9.  Influence of diet, menstruation and genetic factors on iron status: a cross-sectional study in Spanish women of childbearing age.

Authors:  Ruth Blanco-Rojo; Laura Toxqui; Ana M López-Parra; Carlos Baeza-Richer; Ana M Pérez-Granados; Eduardo Arroyo-Pardo; M Pilar Vaquero
Journal:  Int J Mol Sci       Date:  2014-03-06       Impact factor: 5.923

10.  Maternal obesity during pregnancy is negatively associated with maternal and neonatal iron status.

Authors:  A D Jones; G Zhao; Y-P Jiang; M Zhou; G Xu; N Kaciroti; Z Zhang; B Lozoff
Journal:  Eur J Clin Nutr       Date:  2016-01-27       Impact factor: 4.016

  10 in total

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