Influencing hair regrowth with EGCG by targeting glycogen synthase kinase-3β activity: a molecular dynamics study

Abstract

Hair follicle growth process through several well-organized stages with specific input by several signaling pathways including Wnt/β-catenin and Sonic Hedgehog with GSK3β in this process. As such, this research focus on investigating the efficacy of molecules that are able to inhibit GSK3β action in inducing hair regrowth. Applying computational techniques, three compounds NMN, Resveratrol and EGCG were analyzed for their GSK3β inhibition. It was established that EGCG has the highest values of molecular docking scores and, in the case of the stability criteria such as RMSD and RMSF, presented the most stable dynamic simulation. EGCG has shown considerable TEMPORAL STABILITY with GSK3β in the complex, because over a period of 200 nanoseconds the molecules remained bound through hydrogen bonds and hydrophobic contacts. As confirmed by PCA, the largest conformational changes in GSK3β suggest significant inhibitory interaction. Out of all the studied compounds, EGCG turns out to be the most potent GSK3β inhibitor for hair regrowth purposes. The result obtained from the molecular dynamics simulation indicates that EGCG might exert a favorable impact to extract signaling pathways related with hair follicle cycling which is a significant objective. These outcome sets the phase for further experimental testing to discover the potential of EGCG in the treatment of alopecia.

Keywords: GSK3β; Hair follicle; alopecia; epigallocatechin gallate; hair follicle stem cells.