Literature DB >> 8427988

Quantitative assessment of erythropoiesis and functional classification of anemia based on measurements of serum transferrin receptor and erythropoietin.

Y Beguin1, G K Clemons, P Pootrakul, G Fillet.   

Abstract

We evaluated the quantitative value of a simple model of erythropoiesis, based on the basic assumptions that the red blood cell (RBC) mass determines erythropoietin (Epo) production, which in turn stimulates erythropoietic activity. The RBC mass was quantitated by direct isotopic measurement (RCM), Epo production by serum Epo levels, and erythropoiesis by the ferrokinetic measurement of the erythron transferrin uptake (ETU), the serum transferrin receptor (TfR) level, and the reticulocyte (retic) index, and was completed by an evaluation of overall marrow erythron cellularity. We studied a total of 195 subjects, including 31 normal individuals, 38 patients with polycythemia, and 126 patients with various forms of anemia. Instead of only quantitating Epo and erythropoiesis in absolute terms, we also evaluated them in relation to the degree of anemia or polycythemia, and expressed the results as a ratio of observed values to values predicted from the regression equations between hematocrit (Hct) on the one hand, and Epo, TfR, and ETU on the other, obtained in a carefully selected subpopulation. The slope of the regression of TfR (as well as ETU) versus Hct was very similar to the slope of the regression of Epo versus Hct. Average EPO and TfR (as well as ETU) values predicted from the regression equations were quite comparable to observed values in most groups of subjects, with exceptions predictable from knowledge of the pathophysiology of these hematologic disorders. We identified four major patterns of erythropoiesis, ie, normal, hyperdestruction (with variants of hemolysis or ineffective erythropoiesis), intrinsic marrow hypoproliferation, and defective Epo production. Dissecting out groups of patients showed much greater heterogeneity than when patients were analyzed by group. This was particularly true in the case of a hypoproliferative component being combined with hyperdestruction, giving what we called a "mixed disorder of erythropoiesis." We conclude that the pathophysiology of anemia can be assessed by a simple measurement of Hct, retic index, Epo, and TfR levels, with Epo and TfR being more informative when expressed in relation to the degree of anemia. The model is particularly useful for detecting the presence of multiple mechanisms of anemia in the same patient. However, it has limitations inherent to the relative invalidity of TfR in iron deficiency, the imprecision of a retic count, and the difficulty in distinguishing hemolysis from ineffective erythropoiesis in some patients and in recognizing a component of hyperdestruction in hypoproliferative anemia.

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Year:  1993        PMID: 8427988

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  33 in total

1.  Anaemia in systemic lupus erythematosus: aetiological profile and the role of erythropoietin.

Authors:  M Voulgarelis; S I Kokori; J P Ioannidis; A G Tzioufas; D Kyriaki; H M Moutsopoulos
Journal:  Ann Rheum Dis       Date:  2000-03       Impact factor: 19.103

2.  A tracer interaction method for nonlinear pharmacokinetics analysis: application to evaluation of nonlinear elimination.

Authors:  P Veng-Pedersen; J A Widness; J Wang; R L Schmidt
Journal:  J Pharmacokinet Biopharm       Date:  1997-10

3.  Differential effects of the type of iron chelator on the absolute number of hematopoietic peripheral progenitors in patients with β-thalassemia major.

Authors:  Gian Luca Forni; Marina Podestà; Marco Musso; Giovanna Piaggio; Khaled M Musallam; Manuela Balocco; Sarah Pozzi; Alessandra Rosa; Francesco Frassoni
Journal:  Haematologica       Date:  2012-12-14       Impact factor: 9.941

4.  Elevated levels of miR-210 correlate with anemia in β-thalassemia/HbE patients.

Authors:  Panjaree Siwaponanan; Suthat Fucharoen; Pornpan Sirankapracha; Pranee Winichagoon; Tsukuru Umemura; Saovaros Svasti
Journal:  Int J Hematol       Date:  2016-06-06       Impact factor: 2.490

5.  Association between bone mineral density and erythropoiesis in Thai children and adolescents with thalassemia syndromes.

Authors:  Pat Mahachoklertwattana; Pensri Pootrakul; Ampaiwan Chuansumrit; Lulin Choubtum; Arporn Sriphrapradang; Rojana Sirisriro; Rajata Rajatanavin
Journal:  J Bone Miner Metab       Date:  2006       Impact factor: 2.626

Review 6.  Biomarkers of Nutrition for Development (BOND)-Iron Review.

Authors:  Sean Lynch; Christine M Pfeiffer; Michael K Georgieff; Gary Brittenham; Susan Fairweather-Tait; Richard F Hurrell; Harry J McArdle; Daniel J Raiten
Journal:  J Nutr       Date:  2018-06-01       Impact factor: 4.798

7.  The effect of altitude on dosing and response to erythropoietin in ESRD.

Authors:  M Alan Brookhart; Sebastian Schneeweiss; Jerry Avorn; Brian D Bradbury; Kenneth J Rothman; Michael Fischer; Jyotsna Mehta; Wolfgang C Winkelmayer
Journal:  J Am Soc Nephrol       Date:  2008-04-02       Impact factor: 10.121

8.  Defective erythropoietin production and reticulocyte response in acute Plasmodium falciparum malaria-associated anemia.

Authors:  Wattana Leowattana; Srivicha Krudsood; Noppadon Tangpukdee; Gary Brittenham; Sornchai Looareesuwan
Journal:  Southeast Asian J Trop Med Public Health       Date:  2008-07       Impact factor: 0.267

9.  Increased erythropoietin elimination in fetal sheep following chronic phlebotomy.

Authors:  Kevin J Freise; John A Widness; Jeffrey L Segar; Robert L Schmidt; Peter Veng-Pedersen
Journal:  Pharm Res       Date:  2007-04-25       Impact factor: 4.200

Review 10.  An update on iron physiology.

Authors:  Manuel Muñoz; Isabel Villar; José Antonio García-Erce
Journal:  World J Gastroenterol       Date:  2009-10-07       Impact factor: 5.742

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