Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Genetical Signature – An Example of Personalized Skin Aging Investigation with Possible Implementation to Clinical Practice

Ramune Sepetiene
* ORCID logo ,
Vaiva Patamsyte
,
Paulius Valiukevicius
,
Emilija Gecyte
,
Vilius Skipskis
,
Dovydas Gečys
ORCID logo ,
Zita Stanioniene
,
Svajunas Barakauskas
Version 1 : Received: 2 August 2023 / Approved: 3 August 2023 / Online: 3 August 2023 (14:42:49 CEST)

A peer-reviewed article of this Preprint also exists.

Sepetiene, R.; Patamsyte, V.; Valiukevicius, P.; Gecyte, E.; Skipskis, V.; Gecys, D.; Stanioniene, Z.; Barakauskas, S. Genetical Signature—An Example of a Personalized Skin Aging Investigation with Possible Implementation in Clinical Practice. J. Pers. Med. 2023, 13, 1305. Sepetiene, R.; Patamsyte, V.; Valiukevicius, P.; Gecyte, E.; Skipskis, V.; Gecys, D.; Stanioniene, Z.; Barakauskas, S. Genetical Signature—An Example of a Personalized Skin Aging Investigation with Possible Implementation in Clinical Practice. J. Pers. Med. 2023, 13, 1305.

Abstract

We conducted a research study to create groundwork for personalized solutions within skin aging segment. This test utilises genetic and general laboratory data to predict individual susceptibility of weak skin characteristics, leveraging on the research on genetic polymorphisms related to skin functional properties. A cross-sectional study was conducted in collaboration between the Private Clinic Medicina Practica Laboratory (Vilnius, Lithuania) and the Public Institution Lithuanian University of Health Sciences (Kaunas, Lithuania). 370 participants agreed to participate in the project. The median age of respondents was 40, with a range of 19 to 74 years. After the literature search, we selected 15 polymorphisms of the genes related to skin aging subsequently distributed for different skin functions: SOD2(rs4880), GPX1(rs1050450), NQO1(rs1800566), CAT (rs1001179), TYR (rs1126809), SLC45A2 (rs26722), SLC45A2 (rs16891982), MMP1(rs1799750), ELN (rs7787362), COL1A1(rs1800012), AHR (rs2066853), IL6 (rs1800795), IL1Beta (rs1143634), TNF-α (rs1800629), AQP3(rs17553719). RT genotyping, blood count and immunochemistry results have been analysed using statistical methods. Obtained results showed significant associations among genotyping models and routine blood screens. These findings demonstrate the personalized medicine approach for aging segment and further add onto the growing field of literature. Further investigation is warranted to fully understand the complex interplay between genetic factors, environmental influences, and skin aging.

Keywords

skin aging; polymorpysms; laboratory analysis

Subject

Medicine and Pharmacology, Dermatology

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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