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Development of a biomarker‐based platform for comprehensive skin characterization using minimally invasive skin sampling and quantitative real‐time PCR.

Authors :
Kim, Seo Hyeong
Kim, Ji Hye
Choi, Yoon Mi
Seo, Su Min
Jang, Eun Young
Lee, Sung Jae
Zhang, Hyun‐Soo
Roh, Yunho
Jung, Yeon Woo
Park, Chang Ook
Jeong, Do Hyeon
Lee, Kwang Hoon
Source :
Skin Research & Technology. Aug2024, Vol. 30 Issue 8, p1-14. 14p.
Publication Year :
2024

Abstract

Background: Classifying diverse skin types is crucial for promoting skin health. However, efficiently identifying and analyzing relevant biomarkers from a vast array of available genetic data is challenging. Therefore, this study aimed to develop a precise and efficient platform for analyzing specific skin biomarkers using quantitative real‐time PCR (qRT‐PCR) with the minimal invasive skin sampling method (MISSM). Materials and methods: MISSM was used for RNA extraction from skin samples, followed by qRT‐PCR analysis to quantify the expression of 20 biomarkers associated with skin characteristics (four biomarkers each for five skin characteristics). Noninvasive measurements from 299 Korean participants were utilized to correlate biomarker expression with skin parameters. Statistical analyses were conducted between biomarker expression levels and noninvasive skin measurements to select the relatively best‐performing biomarker for each skin characteristic. Results: Collagen type 1 alpha 1 (COL1A1) and moesin (MSN) were identified as skin aging biomarkers. Krüppel‐like factor 4 (KLF4) and serine peptidase inhibitor Kazal type 5 (SPINK5) were identified as skin dryness biomarkers, whereas melan‐A (MLANA) was selected as a biomarker for understanding pigmentation dynamics. Myelin protein zero like 3 (MPZL3) and high mobility group box 2 (HMGB2) were identified as markers of oily skin and skin sensitivity, respectively. Statistically significant correlations were found between the biomarker expression levels and noninvasive skin characteristic measurements. Conclusion: This study successfully developed a platform for the precise evaluation of individual skin characteristics using MISSM and qRT‐PCR biomarker analysis. By selecting biomarkers that correlate with noninvasive measurements of skin characteristics, we demonstrated the platform's efficacy in assessing diverse skin conditions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0909752X
Volume :
30
Issue :
8
Database :
Academic Search Index
Journal :
Skin Research & Technology
Publication Type :
Academic Journal
Accession number :
179254270
Full Text :
https://doi.org/10.1111/srt.13908