ClinicalTrials.gov
public full text
Public Domain
Building an Assessment Model for Vitiligo Activity and Prognosis Using Peripheral Blood Cytokine Profiles
Vitiligo is a chronic autoimmune disorder characterized by depigmented patches on the skin, which can pose significant psychosocial challenges, particularly for individuals with darker skin tones. Compared to the general population, individuals with vitiligo are more likely to experience immune-mediated diseases or psychological comorbidities. Studies confirm that the combined prevalence of depression and anxiety among vitiligo patients reaches 8% and 35.8%, respectively. Notably, the anxiety prevalence rate is comparable to that seen in other severely debilitating skin conditions such as eczema and psoriasis. However, the progression, stability, and recurrence of vitiligo exhibit high unpredictability. Unlike other inflammatory skin diseases such as psoriasis or atopic dermatitis, there is currently a lack of objective, sensitive biological markers in clinical practice to predict disease activity, forecast treatment response, or assess long-term prognosis. Decisions primarily rely on the attending physician's assessment of disease activity, affected areas, severity, and repigmentation potential. Furthermore, clinical signs of active vitiligo are only observable in some active-phase patients, introducing delays and subjectivity. This leads to reactive treatment decisions, increasing the likelihood of missing the optimal intervention window. Cytokines are small-molecule polypeptides or glycoproteins synthesized and secreted by the body's cells, possessing diverse biological activities. They play a central role in physiological and pathological processes such as immune regulation, anti-infection, and anti-tumor responses. The "Twelve Cytokine Panel" is a clinical test utilizing advanced flow cytometry for the combined analysis of 12 core cytokines. The cytokines included in this test are IL-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12p70, IL-17, IFN-α, IFN-γ, and TNF-α. This panel comprehensively reflects innate immune and T-cell immune responses, providing crucial
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Vitiligo as a Failure of Immune Resolution and Tissue Regeneration: From Stress Signals to Targeted Immune Modulation.#171983
- Stress Response Pathways in Vitiligo#1047918
- Gut-derived genistein from Parabacteroides distasonis alleviates psoriatic inflammation via CD200-mediated NF-κB inhibition in mice.#380793
- Contribution of Skin Color in Stabilization of Active Cases of Vitiligo by Narrow Band UVB#1161654
- Machine Learning-Based Prediction of Insulin Resistance in Psoriasis Patients Emphasizing Interpretability#805508
Record · ID 1163546
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive