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Chemical-Induced Skin Carcinogenesis Model Using Dimethylbenz[a]Anthracene and 12-O-Tetradecanoyl Phorbol-13-Acetate DMBA-TPA
Published on: December 19, 2019
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A new gender-specific model for skin autofluorescence risk stratification
Muhammad S Ahmad1, Zoheir A Damanhouri2, Torben Kimhofer3
1Drug Metabolism Unit, King Fahad Medical Research Center, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.
Scientific Reports
|May 15, 2015
Summary
Skin autofluorescence (SAF) measures advanced glycation endproducts (AGEs). Saudi men and women show significant SAF differences, impacting cardiovascular risk assessment. Gender-specific risk scores are crucial for accurate diagnosis.
Area of Science:
- Biomedical science
- Clinical diagnostics
- Public health
Background:
- Advanced glycation endproducts (AGEs) are implicated in diabetes and cardiovascular disease pathophysiology.
- Non-invasive skin autofluorescence (SAF) measurement is a proxy for tissue AGE accumulation.
- Existing risk stratification scales may not account for population-specific variations.
Purpose of the Study:
- To assess reference SAF and skin reflectance (SR) values in a Saudi population.
- To evaluate the existing risk stratification scale within this cohort.
- To investigate gender-specific differences in SAF and their correlation with health factors.
Main Methods:
- Assessed SAF and SR in 1,999 Saudi participants.
- Analyzed SAF values in relation to gender, age, diabetes, BMI, and hypertension.
- Evaluated existing risk stratification scales and proposed adjustments.
Main Results:
- Mean SAF in the Saudi cohort (2.06 AU) was higher than reported for other populations.
- Significant gender difference in SAF observed: men (1.77 AU) vs. women (2.20 AU) (p < 0.01).
- Age, diabetes, BMI influenced SAF in men; SR also correlated with SAF in women. Diabetes, hypertension, and obesity strongly associated with SAF, especially considering gender.
Conclusions:
- SAF is a valuable clinical tool for cardiovascular risk screening.
- Existing risk scores require adjustment for gender and ethnicity in Middle Eastern populations.
- Gender-specific, ethnicity-aware risk stratification is essential for accurate diagnosis.
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