albumin - publications

Predict more albumin - ligand interactions now!

1. PLoS One. 2012;7(2):e32406. Epub 2012 Feb 29.

Raman spectroscopy provides a powerful diagnostic tool for accurate determination
of albumin glycation.

Dingari NC, Horowitz GL, Kang JW, Dasari RR, Barman I.

Laser Biomedical Research Center, G. R. Harrison Spectroscopy Laboratory,
Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of

We present the first demonstration of glycated albumin detection and
quantification using Raman spectroscopy without the addition of reagents.
Glycated albumin is an important marker for monitoring the long-term glycemic
history of diabetics, especially as its concentrations, in contrast to glycated
hemoglobin levels, are unaffected by changes in erythrocyte life times.
Clinically, glycated albumin concentrations show a strong correlation with the
development of serious diabetes complications including nephropathy and
retinopathy. In this article, we propose and evaluate the efficacy of Raman
spectroscopy for determination of this important analyte. By utilizing the
pre-concentration obtained through drop-coating deposition, we show that
glycation of albumin leads to subtle, but consistent, changes in vibrational
features, which with the help of multivariate classification techniques can be
used to discriminate glycated albumin from the unglycated variant with 100%
accuracy. Moreover, we demonstrate that the calibration model developed on the
glycated albumin spectral dataset shows high predictive power, even at
substantially lower concentrations than those typically encountered in clinical
practice. In fact, the limit of detection for glycated albumin measurements is
calculated to be approximately four times lower than its minimum physiological
concentration. Importantly, in relation to the existing detection methods for
glycated albumin, the proposed method is also completely reagent-free, requires
barely any sample preparation and has the potential for simultaneous
determination of glycated hemoglobin levels as well. Given these key advantages,
we believe that the proposed approach can provide a uniquely powerful tool for
quantification of glycation status of proteins in biopharmaceutical development
as well as for glycemic marker determination in routine clinical diagnostics in
the future.

PMCID: PMC3290592
PMID: 22393405 [PubMed - in process]