7 citations
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December 2014 in “Gynecological Endocrinology” LC-MS/MS is more reliable than immunoassays for diagnosing 21-hydroxylase deficiency.
8 citations
,
April 2023 in “Dermatology Practical & Conceptual” Certain blood markers, especially MLR, can help diagnose alopecia areata.
3 citations
,
July 2024 in “Journal of Clinical Medicine” Alopecia areata patients have a higher risk of subclinical atherosclerosis, and carotid ultrasound can help assess their cardiovascular risk.
13 citations
,
August 1985 in “The Journal of Dermatology” HKN-2 antibody targets specific skin and hair cells, showing keratin complexity.
4 citations
,
July 2017 in “Journal of Medical Case Reports” The 2012 criteria are better for diagnosing atypical lupus cases.
March 2025 in “Medical Science Journal for Advance Research” miR-155 levels in blood could help identify alopecia areata.
April 2023 in “Journal of Investigative Dermatology” Trichohyalin in hair can trigger immune attacks in alopecia areata.
12 citations
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February 2023 in “Journal of Personalized Medicine” Type 1 diabetes often occurs with other autoimmune diseases, and personalized treatment based on genetics can improve outcomes.
May 2023 in “The Journal of Immunology” Alopecia areata involves unique activation of certain immune cells.
66 citations
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July 2010 in “Journal of Proteome Research” Trichohyalin may trigger the immune response causing alopecia areata.
New drugs, baricitinib and ritlecitinib, are effective for severe alopecia areata.
April 2024 in “DAHUDER Medical journal” The study concluded that there is no significant link between thyroid autoimmunity and alopecia areata.
January 2023 in “Karger Kompass. Dermatologie” Scientists are still unsure what triggers the immune system to attack hair follicles in Alopecia areata.
July 2024 in “Journal of Investigative Dermatology” CD8+ T cells expand significantly in alopecia areata, suggesting new treatment targets.
June 2025 in “JCEM Case Reports” False high testosterone levels were corrected using a more accurate test.
1 citations
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January 2025 in “Dermatologic Therapy” Immune checkpoint inhibitors can increase the risk of autoimmune skin diseases, especially bullous pemphigoid.
7 citations
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October 2024 in “Frontiers in Immunology” A humanized CXCL12 antibody may delay and treat alopecia areata by altering the immune response.
November 2025 in “Journal of Investigative Dermatology” IMG-007 helps regrow hair and reduce scalp inflammation in severe alopecia areata.
October 2010 in “Reproductive Biomedicine Online” A new method can almost perfectly distinguish adenomyosis from similar conditions using blood tests.
15 citations
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September 2023 in “International Journal of Microbiology Research” AMH is a promising biomarker for diagnosing PCOS.
January 2023 in “Brazilian Journals Editora eBooks” HPLC may detect prediabetes and diabetes earlier than Immunoturbidimetry because it shows higher A1c levels.
2 citations
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January 2020 in “Benha Journal of Applied Sciences” 8-OHdG may help diagnose and assess alopecia areata.
May 2025 in “Frontiers in Immunology” Autoimmune diseases with high tissue recovery often relapse and remit, while those with low recovery rarely remit.
21 citations
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September 2021 in “Fertility and Sterility” A blood test level of 3.2 ng/mL of Antimüllerian hormone is good for identifying polycystic ovarian morphology in European women aged 25–45.
20 citations
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June 2010 in “Genes and Immunity” Blood tests can help understand the genetic differences in people with alopecia areata, including how severe it is and if it's inherited.
7 citations
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February 2020 in “Analytical and Bioanalytical Chemistry”
32 citations
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March 2015 in “The Journal of Clinical Endocrinology & Metabolism” Alopecia areata is linked to thyroid autoimmunity but not type 1 diabetes.
216 citations
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November 1999 in “Fertility and Sterility” Testing basal 17-HP levels is a good way to screen for nonclassic adrenal hyperplasia in women with high androgen levels.
32 citations
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August 2016 in “Science Signaling” Alopecia areata patients show unique protein activity patterns, suggesting imbalanced signaling pathways.
AI models are effective for detecting alopecia areata but face challenges like explaining results and data bias.