Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA301436 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Alopecia areata (AA) is a prevalent disease associated with major emotional distress, and lacks effective, safe therapeutics for patients with extensive hair loss. This is the first report of hair regrowth with specific cytokine antagonism, in three patients with extensive hair loss ranging from 40% scalp involvement to alopecia universalis. Ustekinumab, an IL-12/23p40 antagonist that is highly effective in psoriasis, showed impressive ability to induce hair regrowth, coupled with suppression of inflammatory pathways and upregulation of hair keratins. Our report suggests that extensive AA is reversible using targeted treatments, opening the door for specific cytokine antagonism for this debilitating disease.
2015-12-08 | GSE74761 | GEO
Project description:Alopecia areata (AA) is a prevalent disease associated with major emotional distress, and lacks effective, safe therapeutics for patients with extensive hair loss. This is the first report of hair regrowth with specific cytokine antagonism, in three patients with extensive hair loss ranging from 40% scalp involvement to alopecia universalis. Ustekinumab, an IL-12/23p40 antagonist that is highly effective in psoriasis, showed impressive ability to induce hair regrowth, coupled with suppression of inflammatory pathways and upregulation of hair keratins. Our report suggests that extensive AA is reversible using targeted treatments, opening the door for specific cytokine antagonism for this debilitating disease. We evaluated hair regrowth in three AA patients at 20 weeks after treatment with 3 subcutaneous doses of 90mg ustekinumab given at weeks 0, 4, and 16. Skin biopsies of lesional and non-lesional scalp (when available) were taken at baseline (week 0) and at week 20. We also obtained biopsies from three healthy individuals.
2015-12-08 | E-GEOD-74761 | biostudies-arrayexpress
Project description:Two patients with alopecia areata were treated with systemic ruxolitinib. Skin biopsies were taken before starting treatment and 12 weeks after starting treatment. We used microarrays to assess changes in gene expression of affected skin before and after starting treatment Two patients with alopecia areata were recruited for our study. Skin biopsies of affected scalp were taken prior to starting treatment with oral ruxolinitib. Additional skin biopsies were taken 12 weeks after starting treatment. Scalp skin biopsies were taken from patients without alopecia areata for comparison. RNA was extracted, cDNA libraries were made and profiled on affymetrix microarray chips.
2014-08-17 | E-GEOD-58573 | biostudies-arrayexpress
Project description:The miRNA expression characteristics in alopecia areata
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Project description:Genome Wide Association Study of Alopecia Areata
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Project description:First ruxolitinib treatment of human alopecia areata patients
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Project description:Transcriptional profiling of Homo sapiens inflammatory skin diseases (whole skin biospies): Psoriasis (Pso), vs Atopic Dermatitis (AD) vs Lichen planus (Li), vs Contact Eczema (KE), vs Healthy control (KO) In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation. In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation.
2014-12-02 | GSE63741 | GEO
Project description:Autoimmune alopecia is a prevalent, highly morbid disease. The inflammatory pathways causing hair loss are not well characterized. We profiled two tissue microarrays comparing healthy skin to scarring alopecia and alopecia areata via spatial transcriptomics to analyze the genes and pathways dysregulated in autoimmune alopecia in direct proximity to the hair follicle.
2023-09-25 | GSE227632 | GEO