Literature DB >> 18449641

Validation of hemoglobin glycation models using glycemia monitoring in vivo and culturing of erythrocytes in vitro.

Piotr Ladyzyński1, Jan M Wójcicki, Marianna Bak, Stanisława Sabalińska, Jerzy Kawiak, Piotr Foltyński, Janusz Krzymień, Waldemar Karnafel.   

Abstract

Glycated hemoglobin A1c (HbA1c) concentration in blood is an index of the glycemic control widely used in diabetology. The aim of the work was to validate two mathematical models of HbA1c formation (assuming irreversible or reversible glycation, respectively) and select a model, which was able to predict changes of HbA1c concentration in response to varying glycemia courses with higher accuracy. The experimental procedure applied consisted of an original combination of: in vivo continuous glucose concentration monitoring, long-term in vitro culturing of the human erythrocytes and mathematical modeling of HbA1c formation in vivo and in vitro with HbA1c values scaled according to the most specific analytical methods. Sixteen experiments were conducted in vitro using blood samples collected from healthy volunteer and stable type 1 diabetic patients whose glycemia was estimated beforehand based on long-term monitoring. The mean absolute difference of the measured and predicted HbA1c concentrations for the in vitro experiments were equal to 0.64 +/- 0.29% and 1.42 +/- 0.16% (p = 0.0007) for irreversible and for reversible model, respectively, meaning that the irreversible model was able to predict the glycation kinetics with a higher accuracy. This model was also more sensitive to a deviation of the erythrocytes life span.

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Year:  2008        PMID: 18449641     DOI: 10.1007/s10439-008-9508-x

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  10 in total

1.  Mechanistic modeling of hemoglobin glycation and red blood cell kinetics enables personalized diabetes monitoring.

Authors:  Roy Malka; David M Nathan; John M Higgins
Journal:  Sci Transl Med       Date:  2016-10-05       Impact factor: 17.956

2.  A semi-mechanistic model of the relationship between average glucose and HbA1c in healthy and diabetic subjects.

Authors:  Rocío Lledó-García; Norman A Mazer; Mats O Karlsson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-01-10       Impact factor: 2.745

3.  Modeling of red blood cell life-spans in hematologically normal populations.

Authors:  Rocío Lledó-García; Robert M Kalicki; Dominik E Uehlinger; Mats O Karlsson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2012-07-31       Impact factor: 2.745

4.  Modulation of red blood cell population dynamics is a fundamental homeostatic response to disease.

Authors:  Harsh H Patel; Hasmukh R Patel; John M Higgins
Journal:  Am J Hematol       Date:  2015-04-02       Impact factor: 10.047

5.  Glycation isotopic labeling with 13C-reducing sugars for quantitative analysis of glycated proteins in human plasma.

Authors:  Feliciano Priego-Capote; Alexander Scherl; Markus Müller; Patrice Waridel; Frédérique Lisacek; Jean-Charles Sanchez
Journal:  Mol Cell Proteomics       Date:  2009-11-06       Impact factor: 5.911

6.  Glycated Hemoglobin, Plasma Glucose, and Erythrocyte Aging.

Authors:  Manuel Beltran Del Rio; Mukesh Tiwari; Leo I Amodu; Joaquin Cagliani; Horacio Luis Rodriguez Rilo
Journal:  J Diabetes Sci Technol       Date:  2016-11-01

7.  Albumin Abundance and Its Glycation Status Determine Hemoglobin Glycation.

Authors:  Mashanipalya G Jagadeeshaprasad; Vinashya Venkatasubramani; Ambika G Unnikrishnan; Mahesh J Kulkarni
Journal:  ACS Omega       Date:  2018-10-10

8.  Interindividual variability in average glucose-glycated haemoglobin relationship in type 1 diabetes and implications for clinical practice.

Authors:  Yongjin Xu; Richard M Bergenstal; Timothy C Dunn; Yashesvini Ram; Ramzi A Ajjan
Journal:  Diabetes Obes Metab       Date:  2022-06-02       Impact factor: 6.408

9.  Validation of a hemoglobin A1c model in patients with type 1 and type 2 diabetes and its use to go beyond the averaged relationship of hemoglobin A1c and mean glucose level.

Authors:  Piotr Ladyzynski; Piotr Foltynski; Marianna I Bak; Stanislawa Sabalinska; Janusz Krzymien; Jerzy Kawiak
Journal:  J Transl Med       Date:  2014-12-10       Impact factor: 5.531

10.  Simulation of a computed HbA1c using a weighted average glucose.

Authors:  W Boutayeb; A Boutayeb; M Lamlili; S Ben El Mostafa; N Zitouni
Journal:  Springerplus       Date:  2016-02-29
  10 in total

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