Molecular biomarkers of skin aging and cosmetic

Main Article Content

Ana Carolina Martinhago

Abstract

Skin aging is a natural process, caused both by intrinsic or genetic factors and by extrinsic factors. Worldwide, the demand for products that prevent the appearance of skin aging characteristics has increased markedly. However, it is essential to understand the etiology of aging for the development of more personalized treatments. The objective of this review is to discuss how knowledge about biological aging, genetic polymorphisms and cellular metabolic pathways can contribute to the formulation of personalized cosmetics with anti-aging action. Studies in different world populations have tried to associate genetic Single Nucleotide Polymorphisms (SNPs) ith aging outcomes. SNPs researchers using Genome-Wide Association Study (GWAS) show heterogeneous results, which makes the validation of these biomarkers difficult. To overcome these difficulties, recent studies using Gene Set Enrichment Analysis (GSEA) have attempted to associate biological models with aging outcomes, which may provide a more integrated and comprehensive biological knowledge. Despite efforts, molecular markers, with a dermatological focus, have not yet been validated, requiring large-scale studies. However, these attempts to comprehensively assess the genetic aspects related to skin aging in different populations are allowing the cosmetics sector to be closer to science, which benefits both consumers and companies in the sector.


 

Article Details

How to Cite
Martinhago, A. C. (2023). Molecular biomarkers of skin aging and cosmetic. Revista Científica De Estética & Cosmetologia, 3(1), E0882023 – 1 . https://doi.org/10.48051/rcec.v3i1.88
Section
CONTINUOUS FLOW ITEMS
Author Biography

Ana Carolina Martinhago, Biomedical (2010), specialist in Assisted Human Reproduction (2011), specialist in Aesthetic Biomedicine (2018), Clinical Pathology.

Biomedical (2010), specialist in Assisted Human Reproduction (2011), specialist in Aesthetic Biomedicine (2018), Clinical Pathology.

References

Khalid KA, Nawi AFM, Zulkifli N, Barkat MA, Hadi H. Aging and Wound Healing of the Skin: A Review of Clinical and Pathophysiological Hallmarks. Life (Basel). 2022;12(12).

Wong QYA, Chew FT. Defining skin aging and its risk factors: a systematic review and meta-analysis. Sci Rep. 2021;11(1):22075.

Ng JY, Chew FT. A systematic review of skin ageing genes: gene pleiotropy and genes on the chromosomal band 16q24.3 may drive skin ageing. Sci Rep. 2022;12(1):13099.

Tobin DJ. Introduction to skin aging. J Tissue Viability. 2017;26(1):37-46.

Jacobs LC, Liu F, Bleyen I, Gunn DA, Hofman A, Klaver CC, et al. Intrinsic and extrinsic risk factors for sagging eyelids. JAMA Dermatol. 2014;150(8):836-43.

Perbal B, Gabaron S. Mastering health: liberating beauty : Will the cosmetics of tomorrow be genetic? J Cell Commun Signal. 2021;15(4):483-90.

Phillips C, Amigo J, Tillmar AO, Peck MA, de la Puente M, Ruiz-Ramirez J, et al. A compilation of tri-allelic SNPs from 1000 Genomes and use of the most polymorphic loci for a large-scale human identification panel. Forensic Sci Int Genet. 2020;46:102232.

Chen Y, Andre M, Adhikari K, Blin M, Bonfante B, Mendoza-Revilla J, et al. A genome-wide association study identifies novel gene associations with facial skin wrinkling and mole count in Latin Americans. Br J Dermatol. 2021;185(5):988-98.

Flood KS, Houston NA, Savage KT, Kimball AB. Genetic basis for skin youthfulness. Clin Dermatol. 2019;37(4):312-9.

Liu F, Hamer MA, Deelen J, Lall JS, Jacobs L, van Heemst D, et al. The MC1R Gene and Youthful Looks. Curr Biol. 2016;26(9):1213-20.

Le Clerc S, Taing L, Ezzedine K, Latreille J, Delaneau O, Labib T, et al. A genome-wide association study in Caucasian women points out a putative role of the STXBP5L gene in facial photoaging. J Invest Dermatol. 2013;133(4):929-35.

Chang ALS, Atzmon G, Bergman A, Brugmann S, Atwood SX, Chang HY, et al. Identification of genes promoting skin youthfulness by genome-wide association study. J Invest Dermatol. 2014;134(3):651-7.

Jacobs LC, Hamer MA, Gunn DA, Deelen J, Lall JS, van Heemst D, et al. A Genome-Wide Association Study Identifies the Skin Color Genes IRF4, MC1R, ASIP, and BNC2 Influencing Facial Pigmented Spots. J Invest Dermatol. 2015;135(7):1735-42.

Laville V, Clerc SL, Ezzedine K, Jdid R, Taing L, Labib T, et al. A genome-wide association study in Caucasian women suggests the involvement of HLA genes in the severity of facial solar lentigines. Pigment Cell Melanoma Res. 2016;29(5):550-8.

Law MH, Medland SE, Zhu G, Yazar S, Vinuela A, Wallace L, et al. Genome-Wide Association Shows that Pigmentation Genes Play a Role in Skin Aging. J Invest Dermatol. 2017;137(9):1887-94.

Vierkotter A, Kramer U, Sugiri D, Morita A, Yamamoto A, Kaneko N, et al. Development of lentigines in German and Japanese women correlates with variants in the SLC45A2 gene. J Invest Dermatol. 2012;132(3 Pt 1):733-6.

Okamura K, Abe Y, Hayashi M, Saito T, Nagatani K, Tanoue T, et al. Impact of a 4-bp deletion variant (rs984225803) in the promoter region of SLC45A2 on color variation among a Japanese population. J Dermatol. 2019;46(8):e295-e6.

Xia W, Hammerberg C, Li Y, He T, Quan T, Voorhees JJ, et al. Expression of catalytically active matrix metalloproteinase-1 in dermal fibroblasts induces collagen fragmentation and functional alterations that resemble aged human skin. Aging Cell. 2013;12(4):661-71.

Gao W, Tan J, Huls A, Ding A, Liu Y, Matsui MS, et al. Genetic variants associated with skin aging in the Chinese Han population. J Dermatol Sci. 2017;86(1):21-9.

Jacobs LC, Wollstein A, Lao O, Hofman A, Klaver CC, Uitterlinden AG, et al. Comprehensive candidate gene study highlights UGT1A and BNC2 as new genes determining continuous skin color variation in Europeans. Hum Genet. 2013;132(2):147-58.

Pardo LM, Hamer MA, Liu F, Velthuis P, Kayser M, Gunn DA, et al. Principal component analysis of seven skin-ageing features identifies three main types of skin ageing. Br J Dermatol. 2020;182(6):1379-87.

Katsnelson A. Cosmetics: Molecular beauty. Nature. 2015;526(7572):S4-5.

Rahmouni M, Laville V, Spadoni JL, Jdid R, Eckhart L, Gruber F, et al. Identification of New Biological Pathways Involved in Skin Aging From the Analysis of French Women Genome-Wide Data. Front Genet. 2022;13:836581.

Reimand J, Isserlin R, Voisin V, Kucera M, Tannus-Lopes C, Rostamianfar A, et al. Pathway enrichment analysis and visualization of omics data using g:Profiler, GSEA, Cytoscape and EnrichmentMap. Nat Protoc. 2019;14(2):482-517.

Marczyk M, Macioszek A, Tobiasz J, Polanska J, Zyla J. Importance of SNP Dependency Correction and Association Integration for Gene Set Analysis in Genome-Wide Association Studies. Front Genet. 2021;12:767358.

Calura E, Martini P. Summarizing RNA-Seq Data or Differentially Expressed Genes Using Gene Set, Network, or Pathway Analysis. Methods Mol Biol. 2021;2284:147-79.

Bjedov I, Rallis C. The Target of Rapamycin Signalling Pathway in Ageing and Lifespan Regulation. Genes (Basel). 2020;11(9).

Yousefzadeh M, Henpita C, Vyas R, Soto-Palma C, Robbins P, Niedernhofer L. DNA damage-how and why we age? Elife. 2021;10.

Naval J, Alonso V, Herranz MA. Genetic polymorphisms and skin aging: the identification of population genotypic groups holds potential for personalized treatments. Clin Cosmet Investig Dermatol. 2014;7:207-14.