Abstract

Non-invasive acquisition of mRNA data from the skin can be extremely useful for understanding skin physiology and diseases. Inspired by the holocrine process, in which the sebaceous glands secrete cell contents into the sebum, we focused on the possible presence of mRNAs in skin surface lipids (SSLs). We found that measurable levels of human mRNAs exist in SSLs, where the sebum protects them from degradation by RNases. The AmpliSeq transcriptome analysis was modified to measure SSL-RNA levels, and our results revealed that the SSL-RNAs predominantly comprised mRNAs derived from sebaceous glands, the epidermis, and hair follicles. Analysis of SSL-RNAs non-invasively collected from patients with atopic dermatitis revealed increased expression of inflammation-related genes and decreased expression of terminal differentiation-related genes, consistent with the results of previous reports. Further, we found that lipid synthesis-related genes were downregulated in the sebaceous glands of patients with atopic dermatitis. These results indicate that the analysis of SSL-RNAs is a promising strategy to understand the pathophysiology of skin diseases.

Inoue et al develop a non-invasive method of analyzing human skin mRNA using RNA in skin surface lipids collected with oil-blotting films. The authors outline the validation of this methodology and describe an application to determine transcriptome in skin surface lipids in patients with atopic dermatitis versus healthy skin.

Details

Title
Non-invasive human skin transcriptome analysis using mRNA in skin surface lipids
Author
Inoue Takayoshi 1   VIAFID ORCID Logo  ; Kuwano Tetsuya 1 ; Uehara Yuya 1 ; Yano Michiko 1 ; Oya Naoki 1 ; Takada Naoto 1 ; Tanaka Shodai 1 ; Ueda Yui 1 ; Hachiya Akira 1 ; Takahashi, Yoshito 1 ; Ota Noriyasu 1 ; Murase Takatoshi 1   VIAFID ORCID Logo 

 Biological Science Research, Kao Corporation, Haga-gun, Japan (GRID:grid.419719.3) (ISNI:0000 0001 0816 944X) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
23993642
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2637645366
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.