Prediction of The Association State of Insulin Using Spectral Parameters
Document Type
Article
Publication Date
2003
Keywords
Circular Dichroism, Fluorescence, Insulin, Self-association, Small-angle X-ray Scattering
Digital Object Identifier (DOI)
https://doi.org/10.1002/jps.10355
Abstract
Human insulin exists in different association states, from monomer to hexamer, depending on the conditions. In the presence of zinc the “normal” state is a hexamer. The structural properties of 20 variants of human insulin were studied by near-UV circular dichroism, fluorescence spectroscopy, and small-angle X-ray scattering (SAXS). The mutants showed different degrees of association (monomer, dimers, tetramers, and hexamers) at neutral pH. A correlation was shown between the accessibility of tyrosines to acrylamide quenching and the degree of association of the insulin mutants. The near-UV CD spectra of the insulins were affected by protein association and by mutation-induced structural perturbations. However, the shape and intensity of difference CD spectra, obtained by subtraction of the spectra measured in 20% acetic acid (where all insulin species were monomeric) from the corresponding spectra measured at neutral pH, correlate well with the degree of insulin association. In fact, the near-UV CD difference spectra for monomeric, dimeric, tetrameric, and hexameric insulin are very distinctive, both in terms of intensity and shape. The results show that the spectral properties of the insulins reflect their state of association, and can be used to predict their oligomeric state. © 2003 Wiley-Liss, Inc. and the American Pharmaceutical Association J Pharm Sci 92:847–858, 2003
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Journal of Pharmaceutical Sciences, v. 92, issue 4, p. 847-858
Scholar Commons Citation
Uversky, Vladimir N.; Garriques, Lisa Nielsen; Millett, Ian S.; Frokjaer, Sven; Brange, Jens; Doniach, Sebastian; and Fink, Anthony L., "Prediction of The Association State of Insulin Using Spectral Parameters" (2003). Molecular Medicine Faculty Publications. 700.
https://digitalcommons.usf.edu/mme_facpub/700