Keratin Microspheres as Promising Tool for Targeting Follicular Growth.
Meriem BejaouiWey Yih HeahAprill Kee Oliva MizushimaMitsutoshi NakajimaHiroshi YamagishiYohei YamamotoHiroko IsodaPublished in: ACS applied bio materials (2024)
Skin is the body barrier that constrains the infiltration of particles and exogenous aggression, in which the hair follicle plays an important role. Recent studies have shown that small particles can penetrate the skin barrier and reach the hair follicle, making them a potential avenue for delivering hair growth-related substances. Interestingly, keratin-based microspheres are widely used as drug delivery carriers in various fields. In this current study, we pursue the effect of newly synthesized 3D spherical keratin particles on inducing hair growth in C57BL/6 male mice and in human hair follicle dermal papilla cells. The microspheres were created from partially sulfonated, water-soluble keratin. The keratin microspheres swelled in water to form spherical gels, which were used for further experiments. Following topical application for a period of 20 days, we observed a regrowth of hair in the previously depleted area on the dorsal part of the mice in the keratin microsphere group. This observation was accompanied by the regulation of hair-growth-related pathways as well as changes in markers associated with epidermal cells, keratin, and collagen. Interestingly, microsphere keratin treatment enhanced the cell proliferation and the expression of hair growth markers in dermal papilla cells. Based on our data, we propose that 3D spherical keratin has the potential to specifically target hair follicle growth and can be employed as a carrier for promoting hair growth-related agents.
Keyphrases
- drug delivery
- induced apoptosis
- cell proliferation
- wound healing
- water soluble
- cell cycle arrest
- endothelial cells
- oxidative stress
- cell death
- poor prognosis
- spinal cord injury
- electronic health record
- cell cycle
- molecularly imprinted
- neuropathic pain
- mass spectrometry
- drug release
- deep learning
- replacement therapy
- tissue engineering