细胞因子
抗体
免疫学
刺激
免疫系统
内分泌学
内科学
红细胞
干扰素γ
白细胞介素10
溶血
生物
医学
作者
Wilma Barcellini,Giacomo Clerici,Rosanna Montesano,Emanuela Taioli,Fernanda Morelati,Paolo Rebulla,Alberto Zanella
标识
DOI:10.1046/j.1365-2141.2000.02380.x
摘要
The immunopathogenic mechanisms underlying idiopathic autoimmune haemolytic anaemia (AIHA) are still unknown, although regulatory cytokines are thought to play an important role. We investigated cytokine production by mitogen-stimulated whole blood cultures from 21 patients with AIHA and from 22 age- and sex-matched controls. In parallel experiments, we studied the effect of mitogen and cytokine stimulation on anti-red blood cell (RBC) IgG antibody production, assessed as both binding on autologous RBCs and secretion in culture supernatants. To quantify anti-RBC antibody, we set up a sensitive and quantitative solid phase competitive immunoassay. The results showed that in AIHA patients production of interleukin (IL)-4, IL-6 and IL-13 was significantly increased, whereas that of interferon (IFN)-gamma was reduced. Multivariate analysis showed that IFN-gamma was the only independent factor significantly associated with the reduced T-helper-1-like cytokine profile. Patients with active haemolysis showed further reduction of IFN-gamma and IL-2 production and increased secretion of transforming growth factor (TGF)-beta. In AIHA patients, mitogen stimulation, as well as IL-6, significantly increased autologous anti-RBC-binding relative to unstimulated cultures. Mitogen stimulation and addition of IL-4, IL-6, IL-10, IL-13 and TGF-beta significantly increased both autologous anti-RBC binding and antibody secretion in AIHA patients compared with controls. The results suggest that a reduced T-helper-1- and a predominant T-helper-2-like profile and elevated TGF-beta levels might play a role in the immunopathogenesis of AIHA. Furthermore, our competitive anti-RBC antibody was able to detect anti-RBC antibody production in some direct antiglobulin test (DAT)-negative AIHA patients.
科研通智能强力驱动
Strongly Powered by AbleSci AI