Jump to ContentJump to Main Navigation
Show Summary Details
More options …

Clinical Chemistry and Laboratory Medicine (CCLM)

Published in Association with the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM)

Editor-in-Chief: Plebani, Mario

Ed. by Gillery, Philippe / Greaves, Ronda / Lackner, Karl J. / Lippi, Giuseppe / Melichar, Bohuslav / Payne, Deborah A. / Schlattmann, Peter

IMPACT FACTOR 2018: 3.638

CiteScore 2018: 2.44

SCImago Journal Rank (SJR) 2018: 1.191
Source Normalized Impact per Paper (SNIP) 2018: 1.205

See all formats and pricing
More options …
Volume 53, Issue 9


Possible role of fructosamine 3-kinase genotyping for the management of diabetic patients

Francesca Avemaria
  • Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
  • Unit of Genomics for Diagnosis of Human Pathologies, Division of Genetics and Cell Biology, and Laboratory of Clinical Molecular Biology, IRCCS Ospedale San Raffaele, Milan, Italy
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Paola Carrera
  • Unit of Genomics for Diagnosis of Human Pathologies, Division of Genetics and Cell Biology, and Laboratory of Clinical Molecular Biology, IRCCS Ospedale San Raffaele, Milan, Italy
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Annunziata Lapolla
  • Department of Medicine-DIMED, Diabetology and Dietetics Service, University of Padua, Padua, Italy
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Giovanni Sartore
  • Department of Medicine-DIMED, Diabetology and Dietetics Service, University of Padua, Padua, Italy
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Nino Cristiano Chilelli
  • Department of Medicine-DIMED, Diabetology and Dietetics Service, University of Padua, Padua, Italy
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Renata Paleari / Alessandro Ambrosi / Maurizio Ferrari
  • Unit of Genomics for Diagnosis of Human Pathologies, Division of Genetics and Cell Biology, and Laboratory of Clinical Molecular Biology, IRCCS Ospedale San Raffaele, Milan, Italy
  • Vita-Salute San Raffaele University, Milan, Italy
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Andrea Mosca
Published Online: 2015-05-12 | DOI: https://doi.org/10.1515/cclm-2015-0207


Diabetes mellitus is a global pandemic and continues to increase in numbers and significance. Several pathogenic processes are involved in the development of such disease and these mechanisms could be influenced by genetic, epigenetic and environmental factors. Non-enzymatic glycation reactions of proteins have been strongly related to pathogenesis of chronic diabetic complications. The identification of fructosamine 3-kinase (FN3K), an enzyme involved in protein deglycation, a new form of protein repair, is of great interest. FN3K phosphorylates fructosamines on the third carbon of their sugar moiety, making them unstable and causing them to detach from proteins, suggesting a protective role of this enzyme. Moreover, the variability in FN3K activity has been associated with some polymorphisms in the FN3K gene. Here we argue about genetic studies and evidence of FN3K involvement in diabetes, together with results of our analysis of the FN3K gene on a Caucasian cohort of diabetic patients. Present knowledge suggests that FN3K could act in concert with other molecular mechanisms and may impact on gene expression and activity of other enzymes involved in deglycation process.

Keywords: deglycation; diabetes; fructosamine 3-kinase (FN3K); glycated hemoglobin (HbA1c); glycation; single nucleotide polymorphisms


Diabetes mellitus is one of the world’s oldest diseases and is the major epidemic of this century, having increased by 50% over the past 10 years [1]. Typically, diabetes is presented as a common, heterogeneous, complex disease in which both predisposing genetic and environmental factors interact together and cause hyperglycemia.

Long-term exposure to excessive glucose concentrations can lead to deleterious results. In human diabetes, chronic elevation of blood glucose concentration leads to many long-term complications, including microvascular and macrovascular diseases resulting in significant morbidity and mortality [2]. The link between the elevated concentration of glucose and the development of these complications is not yet clear and many hypotheses have been proposed [3–5]. One of the leading proposals is the “Non-enzymatic Glycation Hypothesis” which postulates that the deleterious effects of chronic hyperglycemia are a result of excessive non-enzymatic modification of proteins and some phospholipids by glucose and its byproducts [5, 6].

Protein glycation refers to the binding of glucose or other reducing sugars to proteins. Particularly, glycation with aldoses takes place with the ε-amino group of lysine residues or with the N-terminus of the protein, resulting in the formation of a Schiff base product. This thermodynamically unstable compound rearranges to form ketoamine derivatives, the Amadori products, that can undergo a series of further rearrangements (dehydration, cyclization, fragmentation and oxidation) to form a wide and heterogeneous group of complex compounds called advanced glycation end products (AGEs) [7]. Both fructosamines and AGEs are involved in the etiology of diabetic complications and can impair structural and biological properties of proteins in living organisms, with a complex mechanism at least in part independent of hyperglycenia [8, 9].

Glycation is a common and spontaneous reaction, occurring in vivo. About 5% of total hemoglobin in normoglycemic subjects has a fructosamine bound to the amino-terminus of its β-chains (HbA1c). It is well known that HbA1c represents an important tool for the clinical management of diabetes and evidence confirms its important role as a retrospective indication of the quality of glycemic control [10, 11]. Moreover, since 2009, HbA1c has also been recommended for the diagnosis of diabetes [12].

Fructosamine 3-kinase: a deglycating enzyme

Discovery and properties

Glycation has long been considered as irreversible, although some findings were suggesting the existence of intracellular deglycation mechanisms. Repair is of outstanding importance for life and three different types of enzymes are known to metabolize ketoamines: oxidases, isomerases and kinases [13, 14]. However, only the latter is used to deglycate proteins under physiological conditions.

The starting point for the discovery of fructosamine 3-kinase (FN3K), a protein distantly related to aminoglycoside kinases and, even more distantly, to protein kinases [15], was the identification of fructose 3-phosphate in human and animal tissues [16]. The investigation on the mechanism of its synthesis in erythrocytes showed the involvement of an ATP-dependent kinase. This enzyme exhibited a very low affinity for its substrate (Km ≥30 mmol/L) and a low metabolic capacity, suggesting that it could act on some substrates different from fructose, even if on compounds with a closely related structure [17]. Two independent groups led to the conclusion that “fructose 3-kinase” phosphorylates fructosamines with a Km in the micromolar range, i.e., 4–5 orders of magnitude lower than the Km for fructose (≈50÷100 mmol/L). Then, the enzyme was purified from human erythrocytes [18] and its cDNA was cloned [15].

Human FN3K is a monomeric protein of 309 amino acids encoded by a gene (NC_000017.10) located on chromosome 17q25.3. FN3K gene may have arisen by an event of duplication of an ancestral gene, FN3K-related protein (FN3K-RP). The gene encoding FN3K-RP is located next to the one encoding FN3K, and share a 65% sequence homology with FN3K and an identical genome organization [19, 20]. Two distinct, but related genes, encoding orthologs of FN3K and FN3K-RP are present in mammals and chicken genomes, whereas there is only one FN3K/FN3K-RP homolog in the genomes of fishes and urochordates [20], suggesting that the gene duplication event occurred during fish radiation.

Both FN3K and FN3K-RP phosphorylate psicosamines and ribulosamines, but only the former act on fructosamines [19]. As expected, FN3K is more active in tissues containing proteins with long (half-)lives, such as erythrocytes, lens and brain [19]. Remarkably, FN3K activity is elevated in erythrocytes from rat, mouse and man, in whom the intracellular concentration of glucose is close to that of plasma. However, FN3K activity is low in erythrocytes from chicken and pig, where the glucose concentration is very low [21].

Furthermore, starvation and diabetes do not change the level of expression of FN3K in different tissues, and no regulation of FN3K expression was observed in human fibroblasts treated with condition mimicking the diabetic state [21].

Function and involvement in deglycation

FN3K appears to represent a part of a cellular defence and/or repair system to control non-enzymatic glycation of proteins. Indeed, the enzyme phosphorylates not only fructosamines, but also their C3-epimers psicosamines, as well as ribulosamines and erythrulosamines, even if psicosamines are much poorer substrates than the other ketoamines [18]. In details, FN3K would be able to break down the second intermediate of the non-enzymatic glycation cascade by phosphorylating fructoselysine to a fructoselysine-3-phosphate (FL3P). The latter compound spontaneously decomposes by β-elimination, regenerating an unmodified lysine along with inorganic phosphate and 3-deoxyglucosone, then readily detoxified to inert products, such as 3-deoxyfructose or 2-deoxy-3-ketogluconic acid [15, 18].

FN3K involvement in deglycation was first provided by finding that its competitive inhibitor, deoxymorpholino-fructose (DMF), increases about two-fold the rate of accumulation of glycated hemoglobin when erythrocytes are incubated in presence of 200 mmol/L glucose [22]. Definitive evidence for FN3K being responsible for deglycation was provided in animal models: FN3K/ mice showed a level of hemoglobin-bound fructosamines of about 2.5-fold higher than those observed in FN3K+/+ or FN3K+/ mice [23]. However, FN3K has been recently demonstrated to be able to reduce the glycation of intracellular islet proteins, but does not affect pancreatic β-cell survival and function, even if these are incubated for several weeks in presence of high glucose concentration [24].

The demonstration that FN3K phosphorylates glycated hemoglobin in intact cells causing its partial deglycation was followed by experiments aimed at identifying the fructosamines residues removed from hemoglobin in intact erythrocytes, as a result of FN3K action. In vitro studies indicate that several fructosamines bound to lysines are excellent substrates, whereas others are only poorly phosphorylated [25]. Thus, the fructosamines bound to Lys139α, located near the C-terminus of the α subunits, and Lys16α, located on a loop of the α subunits, are good substrates. On the contrary, fructose bound to Lys61α, whose side chain is partially bound to a heme, is only very slowly phosphorylated. Moreover, the N-terminal glycated valine is a poor substrate, consistent with free fructosevaline being a much poorer substrate than free fructoselysine [26].

Genetics: results from presented studies

Few works have reported genetic variants of FN3K. First, Delpierre and collaborators reported an association between FN3K enzymatic activity in red cells and some polymorphisms in the FN3K gene, in a Belgian cohort of 31 type 1 diabetic subjects (T1DM) and 26 controls [27]. They found that two single nucleotide polymorphisms (SNPs), besides other gene variants, the CC of the c.900C/G (rs1056534) in exon 6 and the GG of the c.–385A/G (rs3859206) in the promoter region, were associated with reduced enzymatic activity measured in erythrocytes. However, they failed to detect a correlation between FN3K SNPs and HbA1c levels [27]. Then, the group of Mohás analyzed a large cohort of type 2 diabetic (T2DM) subjects (859 T2DM and 265 controls) for the presence of the polymorphism c.900C/G (rs1056534) of the FN3K gene [28]. They found that the C allele of rs1056534 was coupled with lower HbA1c concentration and with a later onset of type 2 diabetes. However, no association between this variant and diabetic complications, such as nephropathy, neuropathy or retinopathy, were found in their investigation.

In 2014, a group of 314 T2DM subjects was screened for 19 SNPs in six candidate genes encoding for enzymes of metabolic pathways, in order to verify if the genetic variability in such genes could influence the progression of diabetic nephropathy. An association of the polymorphism in exon 6 (rs1056534) of the FN3K gene with the progression of diabetic nephropathy and cardiovascular morbidity and mortality was indeed reported [29]. Recently, Škrha and co-workers, in a cohort of 129 T1DM, 340 T2DM and 126 controls, evaluated the association of FN3K and GLO1 polymorphisms with parameters of endothelial dysfunction and soluble receptor for AGEs (sRAGE) [30]. In 126 subjects (50 T1DM, 52 T2DM and 24 healthy individuals), a significant association of FN3K rs1056534 and rs3848403 SNPs with sRAGE concentration in patients with diabetes was proven.

Our research group have also analyzed a Caucasian cohort of 70 diabetic patients, 35 T1DM and 35 T2DM and 33 controls, for the coding part of the FN3K gene, identifying two new mutations and additional variants within the gene. No significant association was found between certain SNPs and diabetic conditions. However, we noted too that the genotype containing c.900 CC alleles (rs1056534) seemed to be related with low concentration of HbA1c [31].

We have completed the molecular characterization of the FN3K gene by analyzing its promoter and we have evaluated the presence of the two polymorphisms, the c.–385A/G (rs3859206) and the c.–232A/T (rs2256339), known to be associated with FN3K enzymatic activity in erythrocytes [27]. Two additional new variants (c.–421C/T; c.–429delATCGGAG) have been found in one patient with T1DM. The statistical analysis performed on our cohort indicates that the Hardy-Weinberg Equilibrium (HWE) was respected in all single groups for both polymorphisms, except for rs2256339 in T1DM patients (p=0.027). The genotypes and allele frequencies distributions of the two polymorphisms in the promoter region of the FN3K gene are reported in Table 1. The genotypes and allele frequencies were not different among T1DM, T2DM and controls (χ2-test, p>0.05) for all studied polymorphisms. Nevertheless, the sample size we have investigated was enough to reach a power test of 0.8 for two tails test considering an effect size=0.35 and a significance level of α=0.05. Interestingly, by summing up the results of the promoter region to those of our previous investigation [31] we noted that the T2DM subjects carrying the CC genotype at c.900 (rs1056534) and with low concentration of HbA1c also presented the GG genotype for the c.–385A/G (rs3859206).

Table 1

Genotype and allele frequencies of variants in the FN3K promoter.


In the last few years, genome-wide association studies (GWAS) have proven to be successful in identifying genetic association with complex traits [32]. Two examples of this approach involving FN3K have been reported in the recent literature.

First, Soranzo and collaborators [33] studied the association of genetic factors affecting expression, turnover and abnormal glycation of hemoglobin with HbA1c levels in up 46,368 non-diabetic subjects of European ancestry descendent. They identified 10 loci (FN3K, HFE, TMPRSS6, ATP11A/TUBGCP3, ANK1, SPTA1, GCK, G6PC2/ABCB11, MTNR1B and HK1) associated with HbA1c at genome-wide level of significance. They assessed that common variants at these loci likely influence HbA1c levels via erythrocytes biology conferring a small but detectable reclassification of diabetes diagnosed by HbA1c [33].

Second, is another meta-analysis of data from 16 cohorts comprising 32,602 non-diabetic individuals of East Asian ancestry. They identified nine loci harboring variants associated with HbA1c levels in East Asian populations: four novel variants at TMEMT9, HBS1L/MYB, MYO9B and CYBA, as well as five ones at loci previously identified (CDKAL1, G6PC2/ABCB11, GCK, ANK1, and FN3K). They demonstrated that common genetic variants associated with HbA1c levels in populations of European ancestry (G6PC2/ABCB11, GCK, ANK1 and FN3K) have similar effects on HbA1c levels in East Asians [34].


In the last few decades the notion of diabetes has widened, ascertaining that many different overlapping mechanisms can lead to the development of the pathology and that these mechanisms could be influenced by genetic, epigenetic and environmental factors [35, 36].

Since the early 20th century, the diagnosis of diabetes has been based on the measurement of glucose concentrations in the blood [37]. During the past 25 years the measurement of HbA1c has been interpreted as a routine useful integrated measure of glycemic control. However, several studies have highlighted the limits of its use in patients with underlying disorders, including diseases changing erythrocytes turnover (hemolytic anemias, chronic malaria, major blood loss or blood transfusions), as well as genetic hereditary anemias and iron storage disorders that may influence the variability of HbA1c in populations [38]. Furthermore, it has been shown that HbA1c values may not be constant among individuals despite the presence of similar blood glucose or fructosamine concentration [39].

Non-enzymatic glycation has been strongly related to hyperglycemia conditions, and therefore to chronic complications associated with diabetes and renal failure. Thus, the identification of an enzyme, FN3K, as a part of a protein repair system opposing to the consequences of hyperglycemia, is of great interest.

In this report we have shown how the variability in FN3K activity has been associated with some polymorphisms in the FN3K gene [27]. Moreover, FN3K SNPs associated significantly with typical aspects of diabetes have been described [28–30]. All this evidence reinforces the hypothesis that the combination of particular variants in the promoter and exon regions could turn into enhanced or reduced expression of other enzymes or regulator factors involved into deglycation. Indeed, probably also other molecular mechanisms impacting gene expression and activity of enzymes in deglycation process may have to be taken into account [39].

The role of FN3K in glycation of biological proteins seems to be more complex than evident at a first glimpse. The variability of FN3K activity may provide another key of explanation in those circumstances in whom HbA1c does not perfectly correlate with the mean glucose level [40]. It has been shown that HbA1c values may not be constant among individuals, despite the presence of similar blood glucose or fructosamine concentration [41]. It would be interesting to expand these studies and to correlate the FN3K activity with the glycation gap and the development of diabetic complications. Larger studies are necessary for a better understanding of the possible effect of FN3K genetic variants on the progression of the disease and its possible clinical utility in the management of diabetic patients. In particular, we need to differentiate between T1DM and T2DM, as these are two distinct populations with a well known different predisposition to development of chronic complication, and therefore possibly different genetic backgrounds of key factors involved in the glycation process. Finally, as suggested by Tanhäuserová et al. [29], if association of individual SNPs to progression of chronic complications of diabetes is weak, the combination of multiple SNPs (either related to oxidation pathways) could result in better prediction of such complications.

Furthermore, a lot of work needs to be done to elucidate the consequences of defects in deglycation, particularly in humans. As diabetes is not straightforward dependent on metabolic control, probably, there are also other molecular mechanisms impacting gene expression and activity of enzymes involved in deglycation systems. Therefore, the constitution of “genetic maps”, using multiple candidate genes in glycation, oxidation and inflammation processes, is strongly needed for a better and more comprehensive evaluation of genetic predisposition to microvascular and macrovascular damage in diabetes.

Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

Financial support: None declared.

Employment or leadership: None declared.

Honorarium: None declared.

Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.


  • 1.

    Danaei G, Finucane MM, Lu Y, Singh GM, Cowan MJ, Paciorek CJ, et al. National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 27 million participants. Lancet 2011;378:31–40.Web of ScienceGoogle Scholar

  • 2.

    Stratton IM, Adler AI, Neil HA, Matthews DR, Manley SE, Cull CA, et al. Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. Br Med J 2000;321:405–12.Google Scholar

  • 3.

    Brownlee M. Biochemistry and molecular cell biology of diabetic complications. Nature 2001;414:813–20.Google Scholar

  • 4.

    Sheetz MJ, King GL. Molecular understanding of hyperglycemia’s adverse effects for diabetic complications. J Am Med Assoc 2002;288:2579–88.Google Scholar

  • 5.

    Stitt AW, Jenkins AJ, Cooper ME. Advanced glycation end products and diabetic complications. Exp Opinion Invest Drugs 2002;11:1205–23.Google Scholar

  • 6.

    Morgan PE, Dean RT, Davies MJ. Inactivation of cellular enzymes by carbonyls and protein-bound glycation/glycoxidation products. Arch Biochem Biophys 2002;403:259–69.Google Scholar

  • 7.

    Ames JM. The Maillard reaction. In: Hudson BJ, editor. Progress in food proteins-biochemistry. London: Elsevier Applied Science, 1992:99–153.Google Scholar

  • 8.

    Ulrich P, Cerami A. Protein glycation, diabetes, and aging. Recent Prog Horm Res 2001;56:1–21.Google Scholar

  • 9.

    Chilelli NC, Burlina S, Lapolla A. AGEs, rather than hyperglycemia, are responsible for microvascular complications in diabetes: a “glycoxidation-centric” point of view. Nutr Metab Cardiovasc Dis 2013;23:913–9.Web of ScienceGoogle Scholar

  • 10.

    Sacks DB, Arnold M, Bakris GL, Bruns DE, Horvath AR, Kirkman MS, et al.; National Academy of Clinical Biochemistry. Position statement executive summary: guidelines and recommendations for laboratory analysis in the diagnosis and management of diabetes mellitus. Diabetes Care 2011;34:1419–23.Web of ScienceGoogle Scholar

  • 11.

    American Diabetes Association. Glycemic targets. Sec. 6. In: Standards of medical care in diabetes 2015. Diabetes Care 2015;38:S33–40.Google Scholar

  • 12.

    The International Expert Committee. International Expert Committee report on the role of the A1c assay in the diagnosis of diabetes. Diabetes Care 2009;32:1327–34.Google Scholar

  • 13.

    Wiame E, Delpierre G, Collard F, Van Schaftingen E. Identification of a pathway for the utilization of the Amadori product fructoselysine in Escherichia coli. J Biol Chem 2002;277:42523–9.Google Scholar

  • 14.

    Monnier VM, Wu X. Enzymatic deglycation with amadoriase enzymes from Aspergillus sp. as a potential strategy against the complications of diabetes and aging. Biochem Soc Trans 2003;31:1349–53.Google Scholar

  • 15.

    Delpierre G, Rider MH, Collard F, Stroobant V, Vanstapel F, Santos H, et al. Identification, cloning, and heterologous expression of a mammalian fructosamine-3-kinase. Diabetes 2000;49:1627–34.Google Scholar

  • 16.

    Petersen A, Szwergold BS, Kappler F, Weingarten M, Brown TR. Identification of sorbitol 3-phosphate and fructose 3-phosphate in normal and diabetic human erythrocytes. J Biol Chem 1990;265:17424–7.Google Scholar

  • 17.

    Petersen A, Kappler F, Szwergold BS, Brown TR. Fructose metabolism in the human erythrocyte. Phosphorylation to fructose 3-phosphate. Biochem J 1992;284:363–6.Google Scholar

  • 18.

    Szwergold BS, Howell S, Beisswenger PJ. Human fructosamine-3-kinase: purification, sequencing, substrate specificity, and evidence of activity in vivo. Diabetes 2001;50:2139–47.Google Scholar

  • 19.

    Collard F, Delpierre G, Stroobant V, Matthijs G, Van Schaftingen E. A mammalian protein homologous to fructosamine-3-kinase is a ketosamine-3-kinase acting on psicosamines and ribulosamines but not on fructosamines. Diabetes 2003;52:2888–95.Google Scholar

  • 20.

    Delplanque J, Delpierre G, Opperdoes FR, Van Schaftingen E. Tissue distribution and evolution of fructosamine 3-kinase and fructosamine 3-kinase-related protein. J Biol Chem 2004:279:46606–13.Google Scholar

  • 21.

    Conner JR, Beisswenger PJ, Szwergold BS. The expression of the genes for fructosamine-3-kinase and fructosamine-3-kinase-related protein appears to be constitutive and unaffected by environmental signals. Biochem Biophys Res Commun 2004;323:932–6.Google Scholar

  • 22.

    Delpierre G, Collard F, Fortpied J, Van Schaftingen E. Fructosamine 3-kinase is involved in an intracellular glycation pathway in human erythrocytes. Biochem J 2002;365:801–8.Google Scholar

  • 23.

    Veiga-da-Cunha M, Jacquemin P, Delpierre G, Godfraind C, Théate I, Vertommen D, et al. Increased protein glycation in fructsamine 3-kinase-deficient mice. Biochem J 2006;399: 257–64.Google Scholar

  • 24.

    Pascal SM, Veiga-da-Cunha M, Gilon P, Van Schaftingen E, Jonas JC. Effects of fructosamine-3-kinase deficiency on function and survival of mouse pancreatic islets after prolonged culture in high glucose or ribose concentrations. Am J Physiol Endocrinol Metab 2010;298:E586–96.Web of ScienceGoogle Scholar

  • 25.

    Delpierre G, Vertommen D, Communi D, Rider MH, Van Schaftingen E. Identification of fructosamine residues deglycated by fructosamine-3-kinase in human hemoglobin. J Biol Chem 2004;279:27613–20.Google Scholar

  • 26.

    Van Schaftingen E, Collard F, Wiame E, Veiga-da-Cunha M. Enzymatic repair of Amadori products. Amino Acids 2012;42:1143–50.Web of ScienceGoogle Scholar

  • 27.

    Delpierre G, Veiga-da-Cunha M, Vertommen D, Buysschaert M, Van Schaftingen E. Variability in erythrocyte fructosamine 3-kinase activity in humans correlates with polymorphisms in the FN3K gene and impacts on haemoglobin glycation at specific sites. Diabetes Metab 2006;32:31–9.CrossrefGoogle Scholar

  • 28.

    Mohás M, Kisfali P, Baricza E, Mérei A, Maász A, Cseh J, et al. A polymorphism within the Fructosamine-3-kinase gene is associated with HbA1c levels and the onset of type 2 diabetes mellitus. Exp Clin Endocrinol Diabetes 2010;118:209–12.Google Scholar

  • 29.

    Tanhäuserová V, Kuricová K, Pácal L, Bartáková V, Rehořová J, Svojanovský J, et al. Genetic variability in enzymes of methabolic pathways conferring protection against non-enzymatic glycation versus diabetes-related morbidity and mortality. Clin Chem Lab Med 2014;52:77–83.Web of ScienceGoogle Scholar

  • 30.

    Skrha JJr, Muravská A, Flekač M, Horová E, Novák J, Novotný A, et al. Fructosamine 3-kinase and glyoxalase I polymorphisms and their association with soluble RAGE and adhesion molecules in diabetes. Phisiol Res 2014;63:S283–91.Google Scholar

  • 31.

    Mosca L, Penco S, Patrosso MC, Marocchi A, Lapolla A, Sartore G, et al. Genetic variability of the fructosamine 3-kinase gene in diabetic patients. Clin Chem Lab Med 2011;49:803–8.Google Scholar

  • 32.

    Manolio TA. Genomewide association studies and assessment of the risk of disease. N Engl J Med 2010;362:166–76.Google Scholar

  • 33.

    Soranzo N, Senna S, Wheeler E, Gieger C, Radke D, Dupuis J, et al. Common genetic variants at 10 genomic loci influence hemoglobin A1c levels via glycemic and nonglycemic pathways. Diabetes 2010;59:3229–39.Web of ScienceGoogle Scholar

  • 34.

    Chen P, Takeuchi F, Lee JY, Li H, Wu JY, Liang J. Multiple nonglycemic genomic loci are newly associated with blood level of glycated hemoglobin in East Asians. Diabetes 2014;63:2551–62.Web of ScienceGoogle Scholar

  • 35.

    Roadmap Epigenomics Consortium, Kundaje A, Meuleman W, Ernst J, Bilenky M, Yen A, et al. Integrative analysis of 111 reference human epigenomes. Nature 2015;518:317–30.Google Scholar

  • 36.

    Groop L, Flemming P. Genetics of diabetes – Are we missing the genes or the disease? Mol Cell Endocrinol 2014;382:726–39.Web of ScienceGoogle Scholar

  • 37.

    World Health Organization. Definition, diagnosis and classification of diabetes mellitus and its complications: report of a WHO consultation. Part 1: diagnosis and classification of diabetes mellitus. Available from: http://www.staff.ncl.ac.uk/philip.home/who_dmc.htm. Accessed: 22 April 2015.

  • 38.

    Bry L, Chen PC, Sacks DB. Effects of haemoglobin variants and chemically modified derivatives on assays for glycohaemoglobin. Clin Chem 2001;47:153–63.Google Scholar

  • 39.

    Rabbani N, Thornalley PJ. Glyoxalase in diabetes, obesity and related disorders. Semin Cell Dev Biol 2011;22:309–17.CrossrefPubMedWeb of ScienceGoogle Scholar

  • 40.

    Leslie RD, Cohen RM. Biologic variability in plasma glucose, hemoglobin A1c and advanced glycation end products associated with diabetes complications. J Diabetes Sci Technol 2009;3:635–43.Google Scholar

  • 41.

    Cohen RM, Smith EP. Frequency of HbA1c discordance in estimating blood glucose control. Curr Opin Clin Nutr Metab Care 2008;11:512–7.Web of ScienceCrossrefGoogle Scholar

About the article

Corresponding author: Prof. Andrea Mosca, Department of Pathophysiology and Transplantation, Via Fratelli Cervi 93, 20090 Segrate, Milan, Italy, Phone: +39 02 50330422, E-mail:

Received: 2015-02-28

Accepted: 2015-04-02

Published Online: 2015-05-12

Published in Print: 2015-08-01

Citation Information: Clinical Chemistry and Laboratory Medicine (CCLM), Volume 53, Issue 9, Pages 1315–1320, ISSN (Online) 1437-4331, ISSN (Print) 1434-6621, DOI: https://doi.org/10.1515/cclm-2015-0207.

Export Citation

©2015 by De Gruyter.Get Permission

Citing Articles

Here you can find all Crossref-listed publications in which this article is cited. If you would like to receive automatic email messages as soon as this article is cited in other publications, simply activate the “Citation Alert” on the top of this page.

Simon J. Dunmore, Amr S. Al-Derawi, Ananth U. Nayak, Aruna Narshi, Alan M. Nevill, Anne Hellwig, Andrew Majebi, Paul Kirkham, James E. Brown, and Baldev M. Singh
Diabetes, 2018, Volume 67, Number 1, Page 131
Gabriela Cavagnolli, Ana Laura Pimentel, Priscila Aparecida Correa Freitas, Jorge Luiz Gross, Joíza Lins Camargo, and Raghib Ali
PLOS ONE, 2017, Volume 12, Number 2, Page e0171315
Philippe Gillery
Clinical Chemistry and Laboratory Medicine (CCLM), 2015, Volume 53, Number 9

Comments (0)

Please log in or register to comment.
Log in