Publication: Differential proteomics of lesional vs. non-lesional biopsies revealed non-immune mechanisms of alopecia areata
Issued Date
2018-12-01
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ISSN
20452322
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2-s2.0-85040454210
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Mahidol University
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SCOPUS
Bibliographic Citation
Scientific Reports. Vol.8, No.1 (2018)
Suggested Citation
Kanchalit Thanomkitti, Rattiyaporn Kanlaya, Kedsarin Fong-Ngern, Chompunoot Kapincharanon, Kanyarat Sueksakit, Prangwalai Chanchaem, Rattapon Thuangtong, Visith Thongboonkerd Differential proteomics of lesional vs. non-lesional biopsies revealed non-immune mechanisms of alopecia areata. Scientific Reports. Vol.8, No.1 (2018). doi:10.1038/s41598-017-18282-1 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/47473
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Title
Differential proteomics of lesional vs. non-lesional biopsies revealed non-immune mechanisms of alopecia areata
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Abstract
© 2018 The Author(s). Alopecia areata (AA) is one of the common hair disorders for which treatment is frequently ineffective and associated with relapsing episodes. Better understanding of disease mechanisms and novel therapeutic targets are thus required. From 10 AA patients, quantitative proteomics using LTQ-Orbitrap-XL mass spectrometer revealed 104 down-regulated, 4 absent, 3 up-regulated and 11 newly present proteins in lesional vs. non-lesional biopsies. Among these, the decreased levels of α-tubulin, vimentin, heat shock protein 70 (HSP70), HSP90, annexin A2 and α-enolase were successfully confirmed by Western blotting. Protein-protein interactions network analysis using STRING tool revealed that the most frequent biological processes/networks of the down-regulated proteins included tissue development, cell differentiation, response to wounding and catabolic process, whereas those for the up-regulated proteins included biological process, metabolic process, cellular transport, cellular component organization and response to stimulus. Interestingly, only 5 increased/newly present proteins were associated with the regulation of immune system, which may not be the predominant pathway in AA pathogenic mechanisms as previously assumed. In summary, we report herein the first proteome dataset of AA demonstrating a number of novel pathways, which can be linked to the disease mechanisms and may lead to discovery of new therapeutic targets for AA.