Literature DB >> 9101100

Investigation of the mechanism underlying the variability of glycated haemoglobin in non-diabetic subjects not related to glycaemia.

B J Gould1, S J Davie, J S Yudkin.   

Abstract

The Islington Diabetes Survey identified two groups of non-diabetic individuals, low and high glycators, who remained consistently classified 4.4 +/- 0.2 years after the original study. To investigate the mechanism for this grouping, 12 original subjects, 5 with low and 7 with high levels of glycated haemoglobin relative to their 2 h blood glucose, were studied. Glycated albumin and fructosamine measurements gave comparable classifications, with three individuals being misclassified for each measurement; in addition glycated albumin was positively correlated with mean blood-glucose concentration (r = 0.53; P < 0.05). Fasting plasma glucose concentration was greater than the intra-erythrocyte concentration (P < 0.05), but their ratio was reduced in low compared to high glycators (0.77 +/- 0.12 and 0.94 +/- 0.13, P < 0.0001). No differences between groups were found for plasma insulin, urea or non-esterified fatty acids; plasma or intra-erythrocyte inorganic phosphate or vitamin C; nor plasma, erythrocyte or urinary total amino acids. Erythrocyte 2,3-diphosphoglycerate, a catalyst of glycation, was elevated in high compared to low glycators (5.61 +/- 0.26 and 4.81 +/- 0.24 mmol/l, P < 0.001). Mean centile glycated haemoglobin was positively correlated with intra-erythrocyte pH (r = 0.55; P < 0.05) and negatively with plasma total amino acids (r = -0.57, P < 0.05). These data indicate that the intra-erythrocyte environment of high glycators favours glycation of haemoglobin. This could have important consequences for diabetic patients in terms of monitoring their glycaemic control and in the progression of those complications related to non-enzymic glycation of intracellular proteins.

Entities:  

Mesh:

Substances:

Year:  1997        PMID: 9101100     DOI: 10.1016/s0009-8981(96)06508-4

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  37 in total

1.  HbA1c for the diagnosis of diabetes and prediabetes: is it time for a mid-course correction?

Authors:  Robert M Cohen; Shannon Haggerty; William H Herman
Journal:  J Clin Endocrinol Metab       Date:  2010-12       Impact factor: 5.958

Review 2.  Do race and ethnicity impact hemoglobin A1c independent of glycemia?

Authors:  William H Herman
Journal:  J Diabetes Sci Technol       Date:  2009-07-01

3.  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

4.  Racial-ethnic disparities in management and outcomes among children with type 1 diabetes.

Authors:  Steven M Willi; Kellee M Miller; Linda A DiMeglio; Georgeanna J Klingensmith; Jill H Simmons; William V Tamborlane; Kristen J Nadeau; Julie M Kittelsrud; Peter Huckfeldt; Roy W Beck; Terri H Lipman
Journal:  Pediatrics       Date:  2015-03       Impact factor: 7.124

5.  Pitfalls in the use of HbA₁(c) as a diagnostic test: the ethnic conundrum.

Authors:  Samuel Dagogo-Jack
Journal:  Nat Rev Endocrinol       Date:  2010-08-03       Impact factor: 43.330

Review 6.  Haemoglobin A1c or Glycated Albumin for Diagnosis and Monitoring Diabetes: An African Perspective.

Authors:  J A George; R T Erasmus
Journal:  Indian J Clin Biochem       Date:  2018-05-03

7.  Estimated average glucose and self-monitored mean blood glucose are discordant estimates of glycemic control.

Authors:  James M Hempe; Arlette A Soros; Stuart A Chalew
Journal:  Diabetes Care       Date:  2010-03-31       Impact factor: 17.152

8.  Racial disparity in A1C independent of mean blood glucose in children with type 1 diabetes.

Authors:  Jodi L Kamps; James M Hempe; Stuart A Chalew
Journal:  Diabetes Care       Date:  2010-02-25       Impact factor: 19.112

9.  Red cell life span heterogeneity in hematologically normal people is sufficient to alter HbA1c.

Authors:  Robert M Cohen; Robert S Franco; Paramjit K Khera; Eric P Smith; Christopher J Lindsell; Peter J Ciraolo; Mary B Palascak; Clinton H Joiner
Journal:  Blood       Date:  2008-08-11       Impact factor: 22.113

10.  Labile A1C is inversely correlated with the hemoglobin glycation index in children with type 1 diabetes.

Authors:  Stuart A Chalew; Robert J McCarter; Jeanine Ory-Ascani; James M Hempe
Journal:  Diabetes Care       Date:  2009-11-16       Impact factor: 19.112

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.