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Glycated serum proteins and glucose tolerance
A Lapolla1, T Poli, F Meneghini
1Istituto di Medicina Interna, Cattedra di Patologia Medica I dell'Università, Padova, Italy.
Summary
Glycated serum proteins (GSP) are better indicators than HbA1c for distinguishing between normal and diabetic glucose tolerance. However, GSP alone cannot differentiate normal from impaired glucose tolerance.
Area of Science:
- Clinical Chemistry
- Endocrinology
- Metabolic Disorders
Background:
- Glycated proteins, including glycated hemoglobin (HbA1c) and glycated serum proteins (GSP), are used as biomarkers for glucose control.
- Assessing glucose metabolism involves evaluating various metabolic parameters and glucose tolerance levels.
Purpose of the Study:
- To compare the efficacy of Glycated serum proteins (GSP) and glycated hemoglobin (HbA1c) in assessing glucose tolerance.
- To evaluate the correlation of GSP and HbA1c with metabolic parameters across different glucose tolerance groups.
Main Methods:
- Evaluation of GSP and HbA1c levels in 120 subjects across four groups: normal glucose tolerance (NGT), impaired glucose tolerance (IGT), non-insulin-dependent diabetes mellitus (NIDD), and insulin-dependent diabetes mellitus (IDD).
- Analysis of metabolic parameters and comparison of GSP and HbA1c performance in differentiating these groups.
Main Results:
- GSP levels were significantly elevated in IGT, NIDD, and IDD groups compared to the NGT group.
- HbA1c levels showed significant increases only in NIDD and IDD groups compared to NGT and IGT groups.
- GSP demonstrated a stronger correlation with metabolic parameters and less overlap between groups than HbA1c, although GSP could not reliably distinguish IGT from NGT.
Conclusions:
- GSP assays are effective in differentiating between normal and diabetic glucose tolerance.
- GSP assays alone are insufficient to distinguish between normal and impaired glucose tolerance.
- GSP may offer advantages over HbA1c in certain aspects of glucose metabolism assessment due to better correlation and less group overlap.