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January 2001 in “Journal of dermatological science” The G(S) alpha subunit gene may help start hair follicle growth in newborn mice.
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July 2002 in “Clinical and Experimental Dermatology” Alopecia areata is influenced by genetics and immune system factors, and better understanding could improve treatments.
γδTregs may help treat autoimmune diseases like alopecia areata by promoting hair regrowth and reducing immune attacks.
5 citations
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January 2016 in “Genetics and molecular research” Certain genetic variations in the A2M gene are linked to better milk quality in Murrah buffaloes.
1 citations
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January 2018 in “International Journal of Clinical and Developmental Anatomy” Dermoscopy improves accuracy in predicting treatment success for androgenetic alopecia with the Regenera® protocol.
January 2025 in “BMC Genomics” Long non-coding RNAs help regulate wool fineness in Gansu alpine fine-wool sheep.
Four genes are linked to alopecia areata, with two increasing risk and two offering protection.
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January 2022 in “Springer eBooks” 13 citations
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February 2025 in “Journal of the European Academy of Dermatology and Venereology” Ritlecitinib shows promise for treating alopecia areata, especially with early and extended treatment.
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July 2003 in “International Journal of Clinical Practice” Age and other health issues affect erectile dysfunction more than finasteride or alpha-blockers.
May 2022 in “Current Enzyme Inhibition” Compound 7b is a promising candidate for treating benign prostatic hyperplasia and prostate cancer.
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July 2021 in “Bioinformatics” rPanglaoDB helps study rare cell types by merging RNA data, showing fibrocytes aid in healing.
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September 2016 in “World Rabbit Science” High wool density in Rex rabbits is linked to specific gene activity affecting hair follicle development.
April 2018 in “Journal of Investigative Dermatology” Melanogenesis-related proteins may trigger immune responses in alopecia areata patients.
February 2026 in “Journal of Allergy and Clinical Immunology” Alopecia areata involves immune system issues and specific cell types that disrupt hair growth, leading to hair loss.
30 citations
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December 2001 in “Experimental dermatology” Gonadal hormones significantly affect the severity of alopecia areata in mice.
Digit ratio likely doesn't predict male hair loss.
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.
55 citations
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March 1990 in “The Journal of Clinical Endocrinology and Metabolism” Finasteride may treat baldness but less effective for those with 5α-reductase deficiency.
November 2025 in “PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS” Taurine may help reduce hair loss by improving hair growth cycles.
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March 2020 in “PloS one” α-parvin is necessary for skin and hair growth and for the correct orientation of skin cells.
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November 2019 in “The Korea Journal of Herbology” The herbal mixture RAA promotes hair growth and could be an alternative treatment for hair loss.
65 citations
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April 2002 in “Journal of Alternative and Complementary Medicine” Plant extracts effectively reduce hair loss and increase growth, offering a safe alternative treatment.
November 2025 in “The Journal of Immunology” A humanized IL-2 fusion protein boosts T regulatory cells and helps control hair loss in Alopecia Areata.
April 2010 in “The Journal of Urology” Human prostate cells produce more WISP1/CCN4 when there's not enough oxygen.
The document concludes that current treatments for androgenic alopecia are not fully effective, but new therapies like botulinum toxin and PRP show promise, and future gene therapy could be beneficial.
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January 2025 in “Archives of Dermatological Research” Higher levels of IL-1R1 and hsa-miR-19b-3p may help diagnose and predict alopecia areata severity.
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January 1996 in “Springer eBooks” Androgenetic alopecia is a condition causing noticeable hair loss, especially in middle age, which is more severe than normal balding.
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October 2023 in “Journal of Intelligent & Fuzzy Systems” The new model improves Alopecia Areata classification accuracy to 93.1%.