Literature DB >> 25282715

Effects of ultra violet radiation on the soluble proteins of human hair.

M V Fedorkova1, N V Smolina2, E V Mikhalchik3, N G Balabushevich4, G A Ibragimova5, A G Gadzhigoroeva6, E I Dmitrieva7, G E Dobretsov8.   

Abstract

Exposure of hair fibers from healthy volunteers to Ultra Violet Radiation (UVR) under laboratory conditions enhanced protein elution from the hair tresses into a buffer solution (pH 10.5). At the same time the UVR decreased the intensity of tryptophan fluorescence in the eluted proteins. After mechanical homogenization of these hair samples, the increase of soluble protein was registered for UVR treated hair as well as the rise in sulfhydryl group content of these proteins. Analysis of soluble proteins from hair samples homogenized before and after protein elution has shown that mainly proteins rich in sulfhydryl groups were eluted and as a result sulfhydryl content of proteins in hair shaft decreased. The hypothesis concerning the effects of environmental factors on the properties of hair shaft proteins was examined, the proximal and distal parts of normal hair (0-5 cm and 15-20 cm from hair root) were compared. In the distal parts there was a higher quantity of soluble proteins registered after homogenization, with decreased sulfhydryl group content and tryptophan fluorescence. It could be supposed that this difference results from the steady rupture of cystine in sulfur bridges and tryptophan under exposure to environmental factors (mainly, UVR), followed by elution of the resulting peptides.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Hair photodegradation; Soluble proteins; Sulfhydryl groups; Tryptophan fluorescence

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Year:  2014        PMID: 25282715     DOI: 10.1016/j.jphotobiol.2014.09.008

Source DB:  PubMed          Journal:  J Photochem Photobiol B        ISSN: 1011-1344            Impact factor:   6.252


  1 in total

1.  A novel method for non-destructive determination of hair photo-induced damage based on multispectral imaging technology.

Authors:  Yue Cao; Hao Qu; Can Xiong; Changhong Liu; Lei Zheng
Journal:  Sci Rep       Date:  2017-03-31       Impact factor: 4.379

  1 in total

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