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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Diabetes/Metabolism ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Diabetes/Metabolism Research and Reviews
Article . 2001 . Peer-reviewed
License: Wiley TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Diabetes and mass spectrometry

Authors: LAPOLLA, ANNUNZIATA; FEDELE, DOMENICO; P. TRALDI;

Diabetes and mass spectrometry

Abstract

Mass spectrometry (MS) has been successfully employed to investigate non-enzymatic protein glycation, a process relevant in diabetic disease. The high sensitivity and specificity of this technique allowed the development of methods that can individuate and evaluate some glycation markers to be validly employed in monitoring diabetes. More recent mass spectrometric techniques, such as the matrix-assisted laser desorption/ionization (MALDI), are able to determine the molecular weight of intact proteins. They were first employed in studying the in vitro reaction between hexoses and different proteins. Once the validity of the results obtained by this analytical approach was confirmed, a series of investigations on plasma proteins were undertaken in healthy and diabetic subjects. The method led to the evaluation of the number of glucose molecules condensed on the protein being studied, and consequently can be validly used for an accurate follow-up of metabolic control in diabetic patients. When applied to studies on haemoglobin glycation, the method showed that both alpha- and beta-globins are glycated to a similar extent and that the simply glycated molecules are accompanied by glyco-oxidized species therefore giving information on the oxidative stress experimented on in the subject. Furthermore, in the case of immunoglobulins, MALDI/MS was able to determine not only the total glycation level of IgG, but also to establish that the fragment antigen binding (Fab) moiety is the most glycated one, thus suggesting that the possible immunological impairment sometimes invoked in diabetes is related to the inhibition of the process of molecular recognition between antibody and antigen.

Country
Italy
Related Organizations
Keywords

Glycated Hemoglobin, Hemoglobins, Protein Conformation, Immunoglobulin G, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, Molecular Conformation, Humans, Mass Spectrometry, Globins

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Average
Top 10%
Top 10%
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