Tubulin Beta-3 Chain as a New Candidate Protein Biomarker of Human Skin Aging: A Preliminary Study

Sylvia G Lehmann1, Sandrine Bourgoin-Voillard2,3,4, Michel Seve2,3,4

  • 1University Grenoble Alpes, ISTerre, CS 40700, 38058 Grenoble Cedex 9, France.

Insights

Researchers identified 58 differentially expressed proteins in aging skin cells using advanced proteomics. Tubulin beta-3 chain emerged as a promising biomarker for diagnosing and treating skin aging.

Area of Science:

  • Biochemistry
  • Dermatology
  • Proteomics

Background:

  • Skin aging is a complex biological process with significant research efforts focused on identifying diagnostic and therapeutic targets.
  • Previous studies primarily analyzed gene expression changes, with limited investigation at the protein level, especially using global quantitative proteomic approaches.

Purpose of the Study:

  • To identify novel protein biomarkers associated with skin aging using a global quantitative labeled proteomic off-gel approach.
  • To characterize the proteomic changes in human skin keratinocytes during the aging process.

Main Methods:

  • Human primary keratinocytes from sun-nonexposed skin biopsies of young and elderly women were analyzed.
  • A global quantitative labeled proteomic off-gel approach was employed to identify and quantify proteins.
  • Differentially expressed proteins were analyzed using Gene Ontology and pathway analysis.

Main Results:

  • A total of 517 unique proteins were identified, with 58 significantly differentially expressed between young and elderly skin.
  • 40 proteins were downregulated and 18 were upregulated with aging.
  • Dysregulated proteins were primarily involved in metabolism, cell cycle, and signaling pathways.
  • Tubulin beta-3 chain expression changes were validated by western blot.

Conclusions:

  • The study identified key proteins involved in cellular processes affected by skin aging.
  • Tubulin beta-3 chain is proposed as a promising biomarker for skin aging due to its altered expression.
  • This proteomic approach provides a more accurate description of the skin aging phenotype.