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      Targeted quantification of N-1-(carboxymethyl) valine and N-1-(carboxyethyl) valine peptides of β-hemoglobin for better diagnostics in diabetes

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          Abstract

          Background

          N-1-(Deoxyfructosyl) valine (DFV) β-hemoglobin (β-Hb), commonly referred as HbA1c, is widely used diagnostic marker in diabetes, believed to provide glycemic status of preceding 90–120 days. However, the turnover of hemoglobin is about 120 days, the DFV-β-Hb, an early and reversible glycation product eventually may undergo irreversible advanced glycation modifications such as carboxymethylation or carboxyethylation. Hence quantification of N-1-(carboxymethyl) valine (CMV) and N-1-(carboxyethyl) valine (CEV) peptides of β-Hb would be useful in assessing actual glycemic status.

          Results

          Fragment ion library for synthetically glycated peptides of hemoglobin was generated by using high resolution–accurate mass spectrometry (HR/AM). Using parallel reaction monitoring, deoxyfructosylated, carboxymethylated and carboxyethylated peptides of hemoglobin were quantified in clinical samples from healthy control, pre-diabetes, diabetes and poorly controlled diabetes. For the first time, we report N-1-β-valine undergoes carboxyethylation and mass spectrometric quantification of CMV and CEV peptides of β-hemoglobin. Carboxymethylation was found to be the most abundant modification of N-1-β-valine. Both CMV-β-Hb and CEV-β-Hb peptides showed better correlation with severity of diabetes in terms of fasting glucose, postprandial glucose and microalbuminuria.

          Conclusions

          This study reports carboxymethylation as a predominant modification of N-1-β-valine of Hb, and quantification of CMV-β-Hb and CEV-β-Hb could be useful parameter for assessing the severity of diabetes.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12014-016-9108-y) contains supplementary material, which is available to authorized users.

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          Most cited references19

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          Formation of glyoxal, methylglyoxal and 3-deoxyglucosone in the glycation of proteins by glucose.

          The glycation of proteins by glucose has been linked to the development of diabetic complications and other diseases. Early glycation is thought to involve the reaction of glucose with N-terminal and lysyl side chain amino groups to form Schiff's base and fructosamine adducts. The formation of the alpha-oxoaldehydes, glyoxal, methylglyoxal and 3-deoxyglucosone, in early glycation was investigated. Glucose (50 mM) degraded slowly at pH 7.4 and 37 degrees C to form glyoxal, methylglyoxal and 3-deoxyglucosone throughout a 3-week incubation period. Addition of t-BOC-lysine and human serum albumin increased the rate of formation of alpha-oxoaldehydes - except glyoxal and methylglyoxal concentrations were low with albumin, as expected from the high reactivity of glyoxal and methylglyoxal with arginine residues. The degradation of fructosyl-lysine also formed glyoxal, methylglyoxal and 3-deoxyglucosone. alpha-Oxoaldehyde formation was dependent on the concentration of phosphate buffer and availability of trace metal ions. This suggests that alpha-oxoaldehydes were formed in early glycation from the degradation of glucose and Schiff's base adduct. Since alpha-oxoaldehydes are important precursors of advanced glycation adducts, these adducts may be formed from early and advanced glycation processes. Short periods of hyperglycaemia, as occur in impaired glucose tolerance, may be sufficient to increase the concentrations of alpha-oxoaldehydes in vivo.
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            Vascular effects of advanced glycation endproducts: Clinical effects and molecular mechanisms.

            The enhanced generation and accumulation of advanced glycation endproducts (AGEs) have been linked to increased risk for macrovascular and microvascular complications associated with diabetes mellitus. AGEs result from the nonenzymatic reaction of reducing sugars with proteins, lipids, and nucleic acids, potentially altering their function by disrupting molecular conformation, promoting cross-linking, altering enzyme activity, reducing their clearance, and impairing receptor recognition. AGEs may also activate specific receptors, like the receptor for AGEs (RAGE), which is present on the surface of all cells relevant to atherosclerotic processes, triggering oxidative stress, inflammation and apoptosis. Understanding the pathogenic mechanisms of AGEs is paramount to develop strategies against diabetic and cardiovascular complications.
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              Relationship Between A1C and Glucose Levels in the General Dutch Population

              OBJECTIVE To investigate the relationship among A1C, fasting plasma glucose (FPG), and 2-h postload plasma glucose in the Dutch general population and to evaluate the results of using A1C for screening and diagnosis of diabetes. RESEARCH DESIGN AND METHODS In 2006–2007, 2,753 participants of the New Hoorn Study, aged 40–65 years, who were randomly selected from the population of Hoorn, the Netherlands, underwent an oral glucose tolerance test (OGTT). Glucose status (normal glucose metabolism [NGM], intermediate hyperglycemia, newly diagnosed diabetes, and known diabetes) was defined by the 2006 World Health Organization criteria. Spearman correlations were used to investigate the agreement between markers of hyperglycemia, and a receiver operating characteristic (ROC) curve was calculated to evaluate the use of A1C to identify newly diagnosed diabetes. RESULTS In the total population, the correlations between fasting plasma glucose and A1C and between 2-h postload plasma glucose and A1C were 0.46 and 0.33, respectively. In patients with known diabetes, these correlations were 0.71 and 0.79. An A1C level of ≥5.8%, representing 12% of the population, had the highest combination of sensitivity (72%) and specificity (91%) for identifying newly diagnosed diabetes. This cutoff point would identify 72% of the patients with newly diagnosed diabetes and include 30% of the individuals with intermediate hyperglycemia. CONCLUSIONS In patients with known diabetes, correlations between glucose and A1C are strong; however, moderate correlations were found in the general population. In addition, based on the diagnostic properties of A1C defined by ROC curve analysis, the advantage of A1C compared with OGTT for the diagnosis of diabetes is limited.
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                Author and article information

                Contributors
                gj.prasad@ncl.res.in
                kb.batkulwar@ncl.res.in
                nnm@cdi.org.in
                stb@cdi.org.in
                am.korwar@ncl.res.in
                uag@cdi.org.in
                +91 20 25902541 , mj.kulkarni@ncl.res.in
                Journal
                Clin Proteomics
                Clin Proteomics
                Clinical Proteomics
                BioMed Central (London )
                1542-6416
                1559-0275
                29 March 2016
                29 March 2016
                2016
                : 13
                : 7
                Affiliations
                [ ]Proteomics Facility, Division of Biochemical Sciences, CSIR-National Chemical Laboratory, Pune, 411008 India
                [ ]Academy of Scientific and Innovative Research (AcSIR), New Delhi, India
                [ ]Department of Diabetes and Endocrine Research, Chellaram Diabetes Institute, Pune, Maharashtra India
                Author information
                http://orcid.org/0000-0003-3932-9092
                Article
                9108
                10.1186/s12014-016-9108-y
                4812615
                27030792
                4fcd3063-68ef-42fd-b6c1-f6dd29172069
                © Jagadeeshaprasad et al. 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 30 December 2015
                : 12 March 2016
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001412, Council of Scientific and Industrial Research;
                Award ID: BSC0111
                Award ID: CSC0111
                Categories
                Research
                Custom metadata
                © The Author(s) 2016

                Molecular medicine
                diabetes,diagnosis,glycation,glycemic control,hba1c,mass spectrometry
                Molecular medicine
                diabetes, diagnosis, glycation, glycemic control, hba1c, mass spectrometry

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