January 2009 in “ScholarlyCommons (University of Pennsylvania)” The P133R mutation in AKR1D1 enzyme causes harmful bile acid buildup, explaining related health issues.
74 citations
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September 2003 in “The Journal of Immunology” Activating PKCα in skin causes cell death and inflammation through different pathways.
612 citations
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February 2004 in “Nature” OXI1 kinase is essential for plant defense and root hair growth in Arabidopsis.
45 citations
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January 2012 in “The Journal of Steroid Biochemistry and Molecular Biology” Too much AKR1C3 enzyme causes resistance to finasteride by increasing testosterone.
April 2019 in “The journal of investigative dermatology/Journal of investigative dermatology” Blocking JAK1 or JAK3 helps reverse hair loss in a mouse model of alopecia areata.
2 citations
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December 2023 in “Journal of clinical immunology” Ruxolitinib significantly improves multiple autoimmune conditions in APS-1 patients.
1 citations
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August 2021 in “Journal of Investigative Dermatology” ASLAN004 was safe and well-tolerated, supporting further development for treating certain diseases.
71 citations
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May 2024 in “New England Journal of Medicine” Ruxolitinib may effectively treat APS-1 by reducing harmful immune responses.
February 2025 in “PubMed” CS12192 effectively treats alopecia areata with better safety than current options.
April 2023 in “The journal of investigative dermatology/Journal of investigative dermatology” HPV8 causes hair follicle stem cells to grow, leading to skin lesions.
23 citations
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June 2010 in “Journal of Investigative Dermatology” A mutation in the Soat1 gene causes hair structure defects and other health issues in AKR/J mice.
February 2025 in “International Journal of Molecular Sciences” RIPK1 inhibitors may help prevent alopecia areata by reducing immune cell activity.
11 citations
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February 2022 in “JAAD case reports” Abrocitinib, a JAK inhibitor, may help treat atopic dermatitis and alopecia universalis together.
March 2026 in “Clinical Cosmetic and Investigational Dermatology” Upadacitinib improved multiple immune-related conditions in one patient.
November 2022 in “Journal of Investigative Dermatology” Short-term treatment with ROCKi increases skin cell growth without changing stem cell features.
July 2025 in “Journal of Investigative Dermatology”
92 citations
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January 2012 in “International Journal of Biological Sciences” The document introduced a new naming system for keratin-associated proteins to improve clarity and communication across species.
RIPK1 inhibitors might help prevent alopecia areata.
505 citations
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October 2011 in “Journal of clinical oncology” MK-2206 was safe and effectively blocked AKT signaling in cancer patients, warranting more trials.
8 citations
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June 2023 in “European Journal of Endocrinology” The inhibitor affects androgen metabolism but not ovarian function.
February 2025 in “PubMed” Switching JAK inhibitors can lead to significant hair regrowth in severe alopecia cases.
35 citations
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June 2012 in “PloS one” Keratin 15 expression in skin cells is regulated by two mechanisms involving PKC/AP-1 and FOXM1.
April 2010 in “Cancer Research” Mcl-1 can activate Wnt signaling in skin cells, promoting growth and possibly cancer.
August 1994 in “Molecular Endocrinology” Changing protein kinase levels in pituitary cells affects calcium flow and beta-endorphin release.
April 2016 in “The journal of investigative dermatology/Journal of investigative dermatology” The ALADIN score can predict how well patients with alopecia areata will respond to JAK inhibitor treatments.
449 citations
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December 2005 in “The Plant Cell” BIK1 gene helps plants resist some pathogens but makes them more vulnerable to others.
June 2025 in “British Journal of Dermatology” JAK inhibitors help regrow hair in alopecia areata, but their long-term safety is still unclear.
6 citations
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January 2006 in “Journal of dermatological science” Runx1 helps control the KAP5 gene in human hair follicles.
12 citations
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May 2010 in “Journal of Clinical Oncology” MK-5108 is safe and shows potential against tumors, especially alone.
April 2019 in “The journal of investigative dermatology/Journal of investigative dermatology” Machine learning can predict how well patients with alopecia areata will respond to certain treatments.