Literature DB >> 28603906

Atopic skin: In vivo Raman identification of global molecular signature, a comparative study with healthy skin.

Laurie Verzeaux1, Raoul Vyumvuhore1, David Boudier1, Maud Le Guillou1, Sylvie Bordes1, Mohammed Essendoubi2, Michel Manfait2, Brigitte Closs1.   

Abstract

Atopic dermatitis (AD) is the most common skin inflammatory disease, affecting up to 3% of adults and 20% of children. Skin barrier impairment is thought to be the primary factor in this disease. Currently, there is no method proposed to monitor non-invasively the different molecular disorders involved in the upper layer of AD skin. Raman microspectroscopy has proved to be a powerful tool to characterize some AD molecular descriptors such as lipid content, global hydration level, filaggrin and its derivatives. Our investigations aimed to extend the use of in vivo Raman microspectroscopy as a rapid and non-invasive diagnostic technique for lipid conformation and organization, protein secondary structure and bound water content analysis in atopic skin. Our approach was based on the analysis of Raman data collected on the stratum corneum (SC) of 11 healthy and 10 mild-to-moderate atopic patients. Atopic skin revealed a modification of lipid organization and conformation in addition to the decrease of the lipid-to-protein ratio. This study also highlighted a reduction of the bound water and an increase in protein organized secondary structure in atopic skin. All these descriptors worsen the barrier function, state and appearance of the skin in AD. This precise and relevant information will allow an in vivo follow-up of the pathology and a better evaluation of the pharmacological activity of therapeutic molecules for the treatment of AD.
© 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  atopic dermatitis; in vivo confocal Raman microspectroscopy; lipid conformation and organization; protein secondary structure; water content

Mesh:

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Year:  2017        PMID: 28603906     DOI: 10.1111/exd.13388

Source DB:  PubMed          Journal:  Exp Dermatol        ISSN: 0906-6705            Impact factor:   3.960


  3 in total

1.  Machine Learning Assisted Handheld Confocal Raman Micro-Spectroscopy for Identification of Clinically Relevant Atopic Eczema Biomarkers.

Authors:  Kapil Dev; Chris Jun Hui Ho; Renzhe Bi; Yik Weng Yew; Dinish U S; Amalina Binte Ebrahim Attia; Mohesh Moothanchery; Steven Thng Tien Guan; Malini Olivo
Journal:  Sensors (Basel)       Date:  2022-06-21       Impact factor: 3.847

Review 2.  Classifying atopic dermatitis: a systematic review of phenotypes and associated characteristics.

Authors:  A L Bosma; A Ascott; R Iskandar; K Farquhar; J Matthewman; M W Langendam; A Mulick; K Abuabara; H C Williams; P I Spuls; S M Langan; M A Middelkamp-Hup
Journal:  J Eur Acad Dermatol Venereol       Date:  2022-02-25       Impact factor: 9.228

Review 3.  Novel aspects of Raman spectroscopy in skin research.

Authors:  Dominique Lunter; Victoria Klang; Dorottya Kocsis; Zsófia Varga-Medveczky; Szilvia Berkó; Franciska Erdő
Journal:  Exp Dermatol       Date:  2022-07-25       Impact factor: 4.511

  3 in total

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