Sepetiene Ramune, Patamsyte Vaiva, Valiukevicius Paulius, Gecyte Emilija, Skipskis Vilius, Gecys Dovydas, Stanioniene Zita, Barakauskas Svajunas
Laboratory of Molecular Cardiology, Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu St. 15, LT-50162 Kaunas, Lithuania.
Abbott GmbH, Max-Planck-Ring 2, 65205 Wiesbaden, Germany.
J Pers Med. 2023 Aug 25;13(9):1305. doi: 10.3390/jpm13091305.
We conducted a research study to create the groundwork for personalized solutions within a skin aging segment. This test utilizes genetic and general laboratory data to predict individual susceptibility to weak skin characteristics, leveraging the research on genetic polymorphisms related to skin functional properties. A cross-sectional study was conducted in a collaboration between the Private Clinic Medicina Practica Laboratory (Vilnius, Lithuania) and the Public Institution Lithuanian University of Health Sciences (Kaunas, Lithuania). A total of 370 participants agreed to participate in the project. The median age of the 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, which were subsequently categorized in terms of different skin functions: (rs4880), (rs1050450), (rs1800566), (rs1001179), (rs1126809), (rs26722), SLC (rs16891982), (rs1799750), (rs7787362), (rs1800012), AHR (rs2066853), (rs1143634), (rs1800629), and (rs17553719). RT genotyping, blood count, and immunochemistry results were analyzed using statistical methods. The obtained results show significant associations between genotyping models and routine blood screens. These findings demonstrate the personalized medicine approach for the aging segment and further add to the growing literature. Further investigation is warranted to fully understand the complex interplay between genetic factors, environmental influences, and skin aging.
我们开展了一项研究,为皮肤衰老领域的个性化解决方案奠定基础。该测试利用基因和常规实验室数据来预测个体对皮肤脆弱特征的易感性,借助了与皮肤功能特性相关的基因多态性研究。一项横断面研究由私立诊所Medicina Practica实验室(立陶宛维尔纽斯)和公立机构立陶宛卫生科学大学(立陶宛考纳斯)合作开展。共有370名参与者同意参与该项目。受访者的年龄中位数为40岁,范围在19岁至74岁之间。在文献检索后,我们选择了15种与皮肤衰老相关的基因多态性,随后根据不同的皮肤功能进行了分类:(rs4880)、(rs1050450)、(rs1800566)、(rs1001179)、(rs1126809)、(rs26722)、SLC(rs16891982)、(rs1799750)、(rs7787362)、(rs1800012)、AHR(rs2066853)、(rs1143634)、(rs1800629)和(rs17553719)。使用统计方法分析了RT基因分型、血细胞计数和免疫化学结果。所得结果显示基因分型模型与常规血液筛查之间存在显著关联。这些发现证明了针对衰老领域的个性化医疗方法,并进一步丰富了不断增长的文献。有必要进行进一步研究以全面了解遗传因素、环境影响和皮肤衰老之间的复杂相互作用。