Lupeol: an updated review utilizing AI-assisted predictive tools for enhanced therapeutic insights into lupeol’s potential for alopecia management

Abstract

Abstract Background Alopecia, a condition characterized by hair loss, affects millions of people worldwide and has a substantial impact on their quality of life. Traditional medicines frequently have limitations and side effects, prompting the development of innovative therapeutic agents. Objectives Lupeol (LUP), a natural triterpenoid, has garnered attention for its anti-inflammatory and antioxidant potential, making it a promising candidate for alopecia management. Encapsulation of LUP-rich extracts enhances bioavailability and stability, facilitating their incorporation into dietary supplements. Methods The integration of AI-assisted predictive tools in this review has provided deeper insights into the therapeutic potential of LUP for alopecia management. Results Our findings indicate that LUP exhibits significant potential in promoting hair growth and reducing inflammation associated with alopecia. The AI-assisted analysis revealed key molecular pathways through which LUP exerts its effects, including the modulation of EGFR, PTGS2, ESR1, and AR targets and inhibition of pro-inflammatory mediators (COX-2). Additionally, predictive models suggest favorable pharmacokinetics and minimal adverse effects, supporting the feasibility of LUP as a therapeutic agent. Our findings advocate for further preclinical and clinical studies to validate these results and explore the full scope of LUP’s benefits. Conclusion This approach exemplifies the synergy between traditional pharmacological research and cutting-edge AI technology, paving the way for innovative treatments in dermatology.