Wong Chloe, Ng Jun Yan, Sio Yang Yie, Chew Fook Tim
Department of Biological Sciences, Faculty of Science, National University of Singapore, Singapore, 117,543, Singapore.
Allergy and Molecular Immunology Laboratory, Lee Hiok Kwee Functional Genomics Laboratories, Block S2, Level 5, 14 Science Drive 4, Lower Kent Ridge Road, Singapore, 117,543, Singapore.
J Physiol Anthropol. 2025 Feb 8;44(1):4. doi: 10.1186/s40101-025-00384-9.
Skin ageing is influenced by complex genetic factors. Various phenotypes such as wrinkling, pigmentation changes, and skin cancers have been linked to specific genetic loci. However, the underlying genetic mechanisms and pathways remain poorly understood. This systematic review and meta-analysis aims to summarise the genetic loci found to be associated with skin ageing phenotypes by published genome-wide association studies (GWAS) and candidate gene studies. We also evaluated the overall association of loci via meta-analysis and identified the association patterns to explore potential biological pathways contributing to skin ageing. The Web of Science, Embase, and PubMed databases were searched on January 2024 using specific exclusion criteria (e.g., study of non-human subjects, focus on skin diseases, or treatments) to identify relevant articles. There did not appear to be any significant publication bias observed across the all phenotypes.
A total of 48 studies were included, revealing 30 loci that were confirmed to be associated with skin ageing by multiple studies (e.g., AFG3L1P: odds ratio 1.133 95% confidence interval [1.044, 1.222]; BPIFA3: 1.859 [1.567, 2.151]; CLPTML1: 1.164 [1.0.99, 1.229]; CPNE7: 0.905 [0.852-0.958]; DEF8: 1.186 [1.042, 1.331]; IRF4: 1.260 [1.025, 1.495]; MYO16: 2.303 [1.697, 2.908]; PRDM16: 1.105 [1.084, 1.127]; RORA: 1.391 [1.206, 1.577]; SPG7: 0.922 [0.897, 0.947]; SPON1: 2.214 [1.204, 3.225]; SPTLC1: 1.464 [1.432, 1.495]; TYR: 1.175 [1.007, 1.343]). The lack of significance for many loci may be due to studies analysing different SNPs within the same locus, weakening the overall associations. Several loci were associated with specific phenotypic categories (e.g., skin colour related, skin cancer related, wrinkling and sagging related), suggesting shared biological pathways are involved in the pathogenesis of different skin ageing phenotypes. This pattern was also observed in several of the loci that do not have a significant overall association with skin ageing.
Despite significant heterogeneity among the included studies and the use of subjective visual methods for phenotype assessment, our review highlights the critical role of fundamental biological processes, such as development and cellular organisation, in skin ageing. Future research that targets the same SNP across multiple populations could strengthen the association of additional loci with skin ageing. Further investigation into these underlying biological processes would significantly advance our understanding of the pathogenesis of skin ageing phenotypes.
皮肤老化受复杂的遗传因素影响。皱纹、色素沉着变化和皮肤癌等各种表型已与特定基因座相关联。然而,潜在的遗传机制和途径仍知之甚少。本系统评价和荟萃分析旨在总结已发表的全基因组关联研究(GWAS)和候选基因研究中发现的与皮肤老化表型相关的基因座。我们还通过荟萃分析评估了基因座的总体关联性,并确定了关联模式,以探索导致皮肤老化的潜在生物学途径。2024年1月,我们使用特定的排除标准(如对非人类受试者的研究、对皮肤疾病或治疗的关注)在Web of Science、Embase和PubMed数据库中进行检索,以识别相关文章。在所有表型中似乎未观察到任何显著的发表偏倚。
共纳入48项研究,揭示了30个经多项研究证实与皮肤老化相关的基因座(如AFG3L1P:比值比1.133,95%置信区间[1.044,1.222];BPIFA3:1.859[1.567,2.151];CLPTML1:1.164[1.099,1.229];CPNE7:0.905[0.852 - 0.958];DEF8:1.186[1.042,1.331];IRF4:1.260[1.025,1.495];MYO16:2.303[1.697,2.908];PRDM16:1.105[1.084,1.127];RORA:1.391[1.206,1.577];SPG7:0.922[0.897,0.947];SPON1:2.214[1.204,3.225];SPTLC1:1.464[1.432,1.495];TYR:1.175[1.007,1.343])。许多基因座缺乏显著性可能是由于研究分析了同一基因座内不同的单核苷酸多态性(SNP),削弱了总体关联性。几个基因座与特定的表型类别相关(如皮肤颜色相关、皮肤癌相关、皱纹和松弛相关),这表明不同皮肤老化表型的发病机制涉及共同的生物学途径。在一些与皮肤老化无显著总体关联的基因座中也观察到了这种模式。
尽管纳入的研究之间存在显著异质性,且使用了主观视觉方法进行表型评估,但我们的综述强调了发育和细胞组织等基本生物学过程在皮肤老化中的关键作用。针对多个群体中相同SNP的未来研究可能会加强其他基因座与皮肤老化的关联性。对这些潜在生物学过程的进一步研究将显著推进我们对皮肤老化表型发病机制的理解。