Literature DB >> 29572786

Changes in hemoglobin profile reflect autologous blood transfusion misuse in sports.

Nicola Lamberti1, Alessia Finotti2, Jessica Gasparello2, Ilaria Lampronti2, Christel Zambon1, Lucia Carmela Cosenza2, Enrica Fabbri2, Nicoletta Bianchi2, Francesca Dalla Corte3, Maurizio Govoni3, Roberto Reverberi3, Roberto Gambari4, Fabio Manfredini5.   

Abstract

The changes in hemoglobin (Hb) profile following autologous blood transfusion (ABT) for the first time were studied for anti-doping purposes. Twenty-four healthy, trained male subjects (aged 18‒40) were enrolled and randomized into either the transfusion (T) or control (C) groups. Blood samples were taken from the T subjects at baseline, after withdrawal and reinfusion of 450 ml of refrigerated or cryopreserved blood, and from C subjects at the same time points. Hematological variables (Complete blood count, Reticulocytes, Immature Reticulocytes Fraction, Red-cell Distribution Width, OFF-hr score) were measured. The Hb types were analyzed by high-performance liquid chromatography and the Hemoglobin Profile Index (HbPI) arbitrarily calculated. Between-group differences were observed for red blood cells and reticulocytes. Unlike C, the T group, after withdrawal and reinfusion, showed a significant trend analysis for both hematological variables (Hemoglobin concentration, reticulocytes, OFF-hr score) and Hb types (glycated hemoglobin-HbA1c, HbPI). The control charts highlighted samples with abnormal values (> 3-SD above/below the population mean) after reinfusion for hematological variables in one subject versus five subjects for HbA1c and HbPI. A significant ROC-curve analysis (area = 0.649, p = 0.015) identified a HbA1c cut-off value ≤ 2.7% associated to 100% specificity of blood reinfusion (sensitivity 25%). Hemoglobin profile changed in trained subjects after ABT, with abnormal values of HbA1c and HbPI in 42% of subjects after reinfusion. Future studies will confirm the usefulness of these biomarkers in the anti-doping field.

Keywords:  Biomarkers; Blood transfusion autologous; Doping in Sports; Hemoglobins

Mesh:

Substances:

Year:  2018        PMID: 29572786     DOI: 10.1007/s11739-018-1837-7

Source DB:  PubMed          Journal:  Intern Emerg Med        ISSN: 1828-0447            Impact factor:   3.397


  32 in total

1.  Alterations of the erythrocyte membrane proteome and cytoskeleton network during storage--a possible tool to identify autologous blood transfusion.

Authors:  Zoran Nikolovski; Carolina De La Torre; Cristina Chiva; Eva Borràs; David Andreu; Rosa Ventura; Jordi Segura
Journal:  Drug Test Anal       Date:  2012-04-29       Impact factor: 3.345

2.  Alterations in HbA1c resulting from the donation of autologous blood for elective surgery in patients with diabetes mellitus.

Authors:  Takeshi Sugimoto; Makoto Hashimoto; Ikuyo Hayakawa; Osamu Tokuno; Tomoko Ogino; Mariko Okuno; Nobuhide Hayashi; Seiji Kawano; Daisuke Sugiyama; Hironobu Minami
Journal:  Blood Transfus       Date:  2013-10-03       Impact factor: 3.443

3.  Enhanced erythroid cell differentiation in hypoxic condition is in part contributed by miR-210.

Authors:  Orawan Sarakul; Phantip Vattanaviboon; Yuka Tanaka; Suthat Fucharoen; Yasunobu Abe; Saovaros Svasti; Tsukuru Umemura
Journal:  Blood Cells Mol Dis       Date:  2013-04-24       Impact factor: 3.039

4.  OMICS-strategies and methods in the fight against doping.

Authors:  Christian Reichel
Journal:  Forensic Sci Int       Date:  2011-08-20       Impact factor: 2.395

Review 5.  Blood doping and its detection.

Authors:  Wolfgang Jelkmann; Carsten Lundby
Journal:  Blood       Date:  2011-06-07       Impact factor: 22.113

6.  Multiple physical stresses induce γ-globin gene expression and fetal hemoglobin production in erythroid cells.

Authors:  Emily K Schaeffer; Rachel J West; Sarah J Conine; Christopher H Lowrey
Journal:  Blood Cells Mol Dis       Date:  2013-12-05       Impact factor: 3.039

7.  Survival of red blood cells after transfusion: a comparison between red cells concentrates of different storage periods.

Authors:  Marleen Luten; Bregt Roerdinkholder-Stoelwinder; Nicolaas P M Schaap; Willem J de Grip; Harry J Bos; Giel J C G M Bosman
Journal:  Transfusion       Date:  2008-05-13       Impact factor: 3.157

8.  Hepcidin as a new biomarker for detecting autologous blood transfusion.

Authors:  Nicolas Leuenberger; Laura Barras; Raul Nicoli; Neil Robinson; Norbert Baume; Niels Lion; Stefano Barelli; Jean-Daniel Tissot; Martial Saugy
Journal:  Am J Hematol       Date:  2016-04-06       Impact factor: 10.047

9.  Urinary di-(2-ethylhexyl) phthalate metabolites for detecting transfusion of autologous blood stored in plasticizer-free bags.

Authors:  Nicolas Leuenberger; Laura Barras; Raul Nicoli; Neil Robinson; Norbert Baume; Niels Lion; Stefano Barelli; Jean-Daniel Tissot; Martial Saugy
Journal:  Transfusion       Date:  2015-11-18       Impact factor: 3.157

Review 10.  Survival of red blood cells after transfusion: processes and consequences.

Authors:  Giel J C G M Bosman
Journal:  Front Physiol       Date:  2013-12-18       Impact factor: 4.566

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  1 in total

Review 1.  Relation between Exercise Performance and Blood Storage Condition and Storage Time in Autologous Blood Doping.

Authors:  Benedikt Seeger; Marijke Grau
Journal:  Biology (Basel)       Date:  2020-12-29
  1 in total

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