Intra-Individual Paired Mass Spectrometry Dataset for Decoding Solar-Induced Proteomic Changes in Facial Skin

Area of Science:

• Dermatology
• Proteomics
• Molecular Biology

Background:

• Photoaging, or premature skin aging, results from prolonged solar radiation exposure.
• Visible signs include wrinkles, reduced elasticity, and uneven skin tone, exceeding natural aging.
• Molecular alterations involve cellular dysfunction, DNA damage, and protein disruptions.

Purpose of the Study:

• To introduce a unique dataset on asymmetric skin aging in professional drivers.
• To investigate molecular differences between chronically sun-exposed and less-exposed facial skin.
• To provide a resource for research in photodermatology and computational skin health modeling.

Main Methods:

• Collected skin samples from both sides of the face of ten professional drivers with long-term occupational sun exposure.
• Utilized a microdermabrasion-like procedure for sample collection.
• Analyzed samples using an Exploris 240 mass spectrometer and an adapted proteomic statistical framework.

Main Results:

• Identified molecular disparities in skin due to chronic, asymmetric solar radiation exposure.
• The paired sample analysis provided robust insights into photodamage.
• Established a foundational dataset for understanding driver skin aging.

Conclusions:

• The dataset highlights molecular changes in skin from long-term, one-sided sun exposure.
• This resource supports advancements in photodermatology and targeted skincare development.
• Facilitates computational modeling for improved skin health assessment and treatment.