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1.
J Allergy Clin Immunol Pract ; 11(8): 2411-2416, 2023 08.
Article in English | MEDLINE | ID: mdl-37286132

ABSTRACT

BACKGROUND: Chronic spontaneous urticaria (CSU) is believed to be Autoimmune (aiCSU) (type IIb CSU) in at least 8% of patients, associated with mast cell-activating IgG autoantibodies. Basophil tests such as the basophil activation test (BAT) and basophil histamine release assay (BHRA) are considered the best single tests for an aiCSU diagnosis. To date, the strength of associations among a positive BAT and/or BHRA (BAT/BHRA+) and CSU features, patient demographics, and response to treatment remains poorly characterized. OBJECTIVE: To evaluate the strength of current evidence on basophil tests as parameters for CSU characteristics. METHODS: We performed a systematic literature search and review to assess the relationship between BAT/BHRA+ and clinical and laboratory parameters of CSU. Of 1,058 records found in the search, 94 studies were reviewed by experts in urticaria and 42 were included in the analysis. RESULTS: In CSU patients, BAT/BHRA+ showed a strong level of evidence for an association with high disease activity and low levels of total IgE. A weak level of evidence was shown for the association of BAT/BHRA+ and the presence of angioedema, and basopenia. CONCLUSIONS: Our results suggest that aiCSU defined by BAT/BHRA+ is more active or severe and is linked to other aiCSU markers such as low total IgE/basopenia. Basophil tests should be standardized and implemented in routine clinical care to improve the diagnosis and treatment of patients with aiCSU.


Subject(s)
Chronic Urticaria , Urticaria , Humans , Basophils , Chronic Urticaria/diagnosis , Urticaria/drug therapy , Basophil Degranulation Test , Immunoglobulin E , Chronic Disease
2.
Arch Dermatol Res ; 309(7): 519-528, 2017 Sep.
Article in English | MEDLINE | ID: mdl-28695330

ABSTRACT

The majority of studies on psoriasis have focused on explaining the genetic background and its associations with the immune system's response. The aim of this study was to identify the low-molecular weight compounds contributing to the metabolomic profile of psoriasis and to provide computational models that help with the classification and monitoring of the severity of the disease. We compared the results from targeted and untargeted analyses of patients' serums with plaque psoriasis to controls. The main differences were found in the concentrations of acylcarnitines, phosphatidylcholines, amino acids, urea, phytol, and 1,11-undecanedicarboxylic acid. The data from the targeted analysis were used to build classification models for psoriasis. The results from this study provide an overview of the metabolomic serum profile of psoriasis along with promising statistical models for the monitoring of the disease.


Subject(s)
Computer Simulation , Metabolome/physiology , Psoriasis/blood , Psoriasis/metabolism , Adult , Aged , Alkanes/blood , Amino Acids/blood , Carnitine/analogs & derivatives , Carnitine/blood , Dicarboxylic Acids/blood , Female , Humans , Male , Middle Aged , Phosphatidylcholines/blood , Phytol/blood , Urea/blood , Young Adult
3.
PLoS One ; 12(11): e0188580, 2017.
Article in English | MEDLINE | ID: mdl-29176763

ABSTRACT

Atopic dermatitis is a chronic inflammatory disease which usually starts in the early childhood and ends before adulthood. However up to 3% of adults remain affected by the disease. The onset and course of the disease is influenced by various genetic and environmental factors. Although the immune system has a great effect on the outcome of the disease, metabolic markers can also try to explain the background of atopic dermatitis. In this study we analyzed the serum of patients with atopic dermatitis using both targeted and untargeted metabolomics approaches. We found the most significant changes to be related to phosphatidylcholines, acylcarnitines and their ratios and a cleavage peptide of Fibrinogen A-α. These findings that have not been reported before will further help to understand this complex disease.


Subject(s)
Biomarkers/blood , Dermatitis, Atopic/blood , Energy Metabolism , Inflammation/blood , Metabolome , Adult , Female , Humans , Male , Principal Component Analysis
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