These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Biomarkers to predict therapeutic response in chronic spontaneous urticaria: a review.
    Author: Gimenez-Arnau AM, Salman A, Podder I.
    Journal: Eur J Dermatol; 2024 Feb 01; 34(1):3-12. PubMed ID: 38557452.
    Abstract:
    Chronic spontaneous urticaria (CSU) is a relatively common dermatological disorder characterized by sudden and unpredictable onset of pruritic wheals and/or angioedema, for more than six weeks. It is a mast cell-mediated histaminergic disorder, considerably worsening patients' quality of life. Current treatment options include anti-histamines, omalizumab and cyclosporine, in a step-wise algorithmic approach, aimed at complete symptom control. Patients do not respond uniformly to these therapeutic options due to phenotypic and endotypic heterogeneity, and often remain uncontrolled/poorly controlled. Recent research is focused on identifying certain biomarkers to predict therapeutic response and facilitate patient-targeted personalized treatment, for maximum benefit. The current article summarizes various biomarkers explored to date, and also elaborates their role in predicting therapeutic response to anti-histamines, omalizumab and cyclosporine, in CSU patients. High disease activity, elevated CRP/ESR and elevated D-dimer are the most important predictors of non/poor-response to antihistamines. Low and very low baseline IgE, elevated CRP/ESR, ASST+, BAT/BHRA+, basopenia, eosinopenia, and elevated D-dimer are predictors of poor and good response to omalizumab and cyclosporine, respectively. Additionally, normal or slightly elevated baseline IgE and FceR1 overexpression are predictors of a faster response with omalizumab. However, none of these predictors have so far been completely validated and are not yet recommended for routine use. Thus, large-scale prospective studies are needed to confirm these predictive biomarkers and identify new ones to achieve the goal of personalized medicine for CSU.
    [Abstract] [Full Text] [Related] [New Search]