ILC1-like cells may contribute to hair loss in alopecia areata.
ILC1-like cells can independently cause alopecia areata by affecting hair follicles.
ILC1-like cells may contribute to hair loss in alopecia areata and could be new treatment targets.
Non-immune dermal cells dominate, epidermal cells increase after day 9, and certain immune cells persist beyond inflammation in wound-induced hair follicle regeneration.
Certain short peptides can increase root hair growth in tobacco plants.
October 2020 in “Our Dermatology Online” Chronic bacterial infections of hair follicles can cause ongoing skin inflammation.
July 2020 in “Comparative medicine” NSG mice had the most mites, and genetic factors affect immune response and susceptibility.
January 2017 in “Journal of Investigative Dermatology Symposium Proceedings” The 2015 Hair Research Congress concluded that stem cells, maraviroc, and simvastatin could potentially treat Alopecia Areata, topical minoxidil, finasteride, and steroids could treat Frontal Fibrosing Alopecia, and PTGDR2 antagonists could also treat alopecia. They also found that low-level light therapy could help with hair loss, a robotic device could assist in hair extraction, and nutrition could aid hair growth. They suggested that Alopecia Areata is an inflammatory disorder, not a single disease, indicating a need for personalized treatments.
March 2023 in “International Journal of Molecular Sciences” ADSC-Exos with miR-122-5p can help treat hair loss by promoting hair growth.
February 2023 in “International Journal of Molecular Sciences” Exosomes from skin cells can boost hair growth by stimulating a gene called LEF1.
October 2022 in “Frontiers in Bioengineering and Biotechnology” Bioengineered nanoparticles can effectively treat hair loss by targeting specific enzymes and receptors.
8 citations,
September 2016 in “Journal of Investigative Dermatology” Mice with more Flightless I protein grew back their claws better after amputation.
1 citations,
May 2018 in “Psychology, Health & Medicine” The two-factor model fits better for Chinese patients' understanding of illness causes than the original four-factor model.