TLDR Alkaline ceramidase 1 is crucial for healthy skin and energy balance.
The study found that alkaline ceramidase 1 (Acer1) was essential for skin homeostasis and energy regulation in mice. Acer1-deficient mice showed increased ceramide levels, leading to abnormal hair follicle formation, cyclic alopecia, and epidermal hyperplasia. These mice experienced increased transepidermal water loss and hypermetabolism, resulting in reduced fat content and lower body weights. Despite these issues, the mice were viable and fertile. The study highlighted Acer1's role in ceramide metabolism, crucial for epidermal differentiation, hair function, and maintaining energy balance.
53 citations
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February 2015 in “Journal of Investigative Dermatology” Ceramide Synthase 4 is essential for normal hair growth and preventing hair loss.
437 citations
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August 2014 in “Cell metabolism” Turning white fat into brown-like fat could help fight obesity and type 2 diabetes.
67 citations
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April 2014 in “Biochemical Journal” Ceramide synthase 4 deficiency in mice leads to hair loss due to altered sebum lipids.
50 citations
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April 2014 in “Nature Communications” The research identified new skin traits in mice, some linked to human skin conditions.
91 citations
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June 2011 in “The EMBO Journal” TCF/Lef1 activity is essential for proper skin cell development and renewal.
73 citations
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May 2009 in “Proceedings of the National Academy of Sciences” Disrupting the Sox21 gene in mice causes hair loss and regrowth cycles.
503 citations
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May 2009 in “Cell stem cell” Lrig1 marks a unique group of stem cells in mouse skin that can become different skin cell types.
October 2018 in “Springer eBooks” The document concludes that various hair disorders have different treatments, including medication, surgery, and addressing underlying causes.
30 citations
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April 2018 in “Experimental Dermatology” The article concludes that developing in vitro models for human hair structures is important for research and reducing animal testing, but there are challenges like obtaining suitable samples and the models' limitations.
