Literature DB >> 20144323

Circulating biomarkers of glycemia in diabetes management and implications for personalized medicine.

Mark W True1.   

Abstract

Personalized medicine represents a new model in how the medical community approaches disease management. Rather than managing those with a particular diagnosis according to an established guideline, the personalized medicine model seeks to identify unique characteristics within each patient that can serve as a basis for disease characterization and specialized treatment. This article reviews several circulating biomarkers of glycemia that are used in the medical management of diabetes, to include hemoglobin A1c, fructosamine, and 1,5-anhydroglucitol. Within the discussion, specific attention is paid to areas in which biomarker results do not correlate with anticipated results based on actual mean glycemia. Variability between actual and anticipated results of the various biomarker tests represents opportunities to identify previously undefined subcategories of diabetes and groups of patients that fit into these subcategories. Finally, research areas are proposed for these subcategories that would further promote the field of personalized medicine in diabetes. Copyright 2009 Diabetes Technology Society.

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Year:  2009        PMID: 20144323      PMCID: PMC2769973          DOI: 10.1177/193229680900300421

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  22 in total

1.  Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study.

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Journal:  BMJ       Date:  2000-08-12

2.  Evidence for independent heritability of the glycation gap (glycosylation gap) fraction of HbA1c in nondiabetic twins.

Authors:  Robert M Cohen; Harold Snieder; Christopher J Lindsell; Huriya Beyan; Mohammed I Hawa; Stuart Blinko; Raymond Edwards; Timothy D Spector; R David G Leslie
Journal:  Diabetes Care       Date:  2006-08       Impact factor: 19.112

3.  The hemoglobin glycation index is not an independent predictor of the risk of microvascular complications in the Diabetes Control and Complications Trial.

Authors:  John M Lachin; Saul Genuth; David M Nathan; Brandy N Rutledge
Journal:  Diabetes       Date:  2007-03-14       Impact factor: 9.461

4.  1,5-anhydroglucitol and postprandial hyperglycemia as measured by continuous glucose monitoring system in moderately controlled patients with diabetes.

Authors:  Kathleen M Dungan; John B Buse; Joseph Largay; Mary M Kelly; Eric A Button; Shuhei Kato; Steven Wittlin
Journal:  Diabetes Care       Date:  2006-06       Impact factor: 19.112

5.  The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus.

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Journal:  N Engl J Med       Date:  1993-09-30       Impact factor: 91.245

6.  Consensus statement on the worldwide standardization of the hemoglobin A1C measurement: the American Diabetes Association, European Association for the Study of Diabetes, International Federation of Clinical Chemistry and Laboratory Medicine, and the International Diabetes Federation.

Authors: 
Journal:  Diabetes Care       Date:  2007-09       Impact factor: 19.112

7.  Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group.

Authors: 
Journal:  Lancet       Date:  1998-09-12       Impact factor: 79.321

8.  Differences in A1C by race and ethnicity among patients with impaired glucose tolerance in the Diabetes Prevention Program.

Authors:  William H Herman; Yong Ma; Gabriel Uwaifo; Steven Haffner; Steven E Kahn; Edward S Horton; John M Lachin; Maria G Montez; Tina Brenneman; Elizabeth Barrett-Connor
Journal:  Diabetes Care       Date:  2007-05-29       Impact factor: 19.112

9.  Serum 1,5-anhydroglucitol (GlycoMark ): a short-term glycemic marker.

Authors:  John B Buse; Jennifer L R Freeman; Steven V Edelman; Lois Jovanovic; Janet B McGill
Journal:  Diabetes Technol Ther       Date:  2003       Impact factor: 6.118

10.  Discordance between HbA1c and fructosamine: evidence for a glycosylation gap and its relation to diabetic nephropathy.

Authors:  Robert M Cohen; Yancey R Holmes; Thomas C Chenier; Clinton H Joiner
Journal:  Diabetes Care       Date:  2003-01       Impact factor: 19.112

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  14 in total

1.  Comparison of two assays for serum 1,5-anhydroglucitol.

Authors:  Elizabeth Selvin; Gregory P Rynders; Michael W Steffes
Journal:  Clin Chim Acta       Date:  2011-01-14       Impact factor: 3.786

2.  The personalized medicine for diabetes meeting summary report.

Authors:  David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2009-07-01

3.  Racial differences in glycemic markers: a cross-sectional analysis of community-based data.

Authors:  Elizabeth Selvin; Michael W Steffes; Christie M Ballantyne; Ron C Hoogeveen; Josef Coresh; Frederick L Brancati
Journal:  Ann Intern Med       Date:  2011-03-01       Impact factor: 25.391

4.  Evaluation of glycemic variability in well-controlled type 2 diabetes mellitus.

Authors:  Suk Chon; Yun Jung Lee; Gemma Fraterrigo; Paolo Pozzilli; Moon Chan Choi; Mi-Kwang Kwon; Sang Ouk Chin; Sang Youl Rhee; Seungjoon Oh; Young-Seol Kim; Jeong-Taek Woo
Journal:  Diabetes Technol Ther       Date:  2013-04-25       Impact factor: 6.118

Review 5.  Beyond HbA1c and glucose: the role of nontraditional glycemic markers in diabetes diagnosis, prognosis, and management.

Authors:  Christina M Parrinello; Elizabeth Selvin
Journal:  Curr Diab Rep       Date:  2014       Impact factor: 4.810

6.  Sitagliptin as add-on therapy in insulin deficiency: biomarkers of therapeutic efficacy respond differently in type 1 and type 2 diabetes.

Authors:  Ottavio Giampietro; Chiara Giampietro; Luca Della Bartola; Maria Chiara Masoni; Elena Matteucci
Journal:  Drug Des Devel Ther       Date:  2013-02-14       Impact factor: 4.162

7.  The roles of glycated albumin as intermediate glycation index and pathogenic protein.

Authors:  Kwang Joon Kim; Byung-Wan Lee
Journal:  Diabetes Metab J       Date:  2012-04-17       Impact factor: 5.376

8.  The Shepherds' Tale: A Genome-Wide Study across 9 Dog Breeds Implicates Two Loci in the Regulation of Fructosamine Serum Concentration in Belgian Shepherds.

Authors:  Simon K G Forsberg; Marcin Kierczak; Ingrid Ljungvall; Anne-Christine Merveille; Vassiliki Gouni; Maria Wiberg; Jakob Lundgren Willesen; Sofia Hanås; Anne-Sophie Lequarré; Louise Mejer Sørensen; Laurent Tiret; Kathleen McEntee; Eija Seppälä; Jørgen Koch; Géraldine Battaille; Hannes Lohi; Merete Fredholm; Valerie Chetboul; Jens Häggström; Örjan Carlborg; Kerstin Lindblad-Toh; Katja Höglund
Journal:  PLoS One       Date:  2015-05-13       Impact factor: 3.240

9.  Serum glucose and fructosamine in relation to risk of cancer.

Authors:  Wahyu Wulaningsih; Lars Holmberg; Hans Garmo; Björn Zethelius; Annette Wigertz; Paul Carroll; Mats Lambe; Niklas Hammar; Göran Walldius; Ingmar Jungner; Mieke Van Hemelrijck
Journal:  PLoS One       Date:  2013-01-25       Impact factor: 3.240

10.  Metabolic serum biomarkers for the prediction of cancer: a follow-up of the studies conducted in the Swedish AMORIS study.

Authors:  Cecilia Bosco; Wahyu Wulaningsih; Jennifer Melvin; Aida Santaolalla; Mario De Piano; Rhonda Arthur; Mieke Van Hemelrijck
Journal:  Ecancermedicalscience       Date:  2015-07-23
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