Anti-FcepsilonRIalpha autoantibodies (autoAbs) occur and may be of pathogenetic relevance in a subset of chronic urticaria (CU) patients. To analyze the prevalence and magnitude of the humoral anti-FcepsilonRIalpha response in cohorts of CU patients compared with individuals suffering from classic skin- related (auto)immune diseases, we developed an ELISA system for the measurement of anti-FcepsilonRIalpha autoAbs in nonfractionated serum samples. Results obtained using this assay correlated well with those generated by Western blotting. We found IgG anti-FcepsilonRIalpha autoreactivity in 38% of CU patients but not in atopic dermatitis patients, psoriatics, or healthy individuals. We frequently detected anti-FcepsilonRIalpha autoAbs in pemphigus vulgaris (PV, 39%), dermatomyositis (DM, 36%), systemic lupus erythematosus (SLE, 20%), and bullous pemphigoid (BP, 13%). While the autoAb titers in DM, SLE, BP, and PV were similar to those encountered in CU patients, only anti-FcepsilonRIalpha+ CU serum specimens displayed pronounced histamine-releasing activity. The anti-FcepsilonRIalpha autoAbs in CU patients belong predominantly to the complement-fixing subtypes IgG1 and IgG3, whereas in DM, PV, and BP, they were found to be mainly of the IgG2 or IgG4 subtype. Complement-activating properties of anti-FcepsilonRIalpha autoAbs can indeed be of pathogenetic relevance, because C5a receptor blockade on basophils as well as decomplementation reduced drastically the histamine-releasing capacity of most anti-FcepsilonRIalpha-reactive CU sera. As a consequence, therapeutic efforts in CU should aim at altering not only the quantity but also the complement-activating properties of IgG anti-FcepsilonRIalpha autoAbs.
E Fiebiger, F Hammerschmid, G Stingl, D Maurer
Usage data is cumulative from January 2024 through January 2025.
Usage | JCI | PMC |
---|---|---|
Text version | 201 | 187 |
47 | 61 | |
Citation downloads | 43 | 0 |
Totals | 291 | 248 |
Total Views | 539 |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.