Anti-CD30 polyclonal antibody [Biotin]

The interplay between dendritic cells (DCs) and natural killer (NK) cells directs adaptive immune responses. The molecular basis of the cross-talk is largely undefined. Here, we provide evidence for a contribution of CD30 (TNFRSF8) and its ligand CD30L (TNFSF8) expressed on NK cells and DCs, respectively. We demonstrate that CD30-mediated engagement of CD30L induced cytokine secretion from immature DCs via the mitogen-activated protein kinase pathway. Moreover, CD30L engagement promoted differentiation to mature DCs. On the contrary, the engagement of CD30 on NK cells resulted in an NF-kappa B-dependent release of TNF-alpha/IFN-gamma. These data uncover a novel and unexpected role for CD30/CD30L that contributes to proinflammatory immune responses.

Background. Type 1 reactions (T1R) affect a considerable proportion of patients with leprosy. In those with T1R, the host immune response pathologically overcompensates for the actual infectious threat, resulting in nerve damage and permanent disability. Based on the results of a genome-wide association study of leprosy per se, we investigated the TNFSF15 chromosomal region for a possible contribution to susceptibility to T1R. Methods. We performed a high-resolution association scan of the TNFSF15 locus to evaluate the association with T1R in 2 geographically and ethnically distinct populations: a family-based sample from Vietnam and a case-control sample from Brazil, comprising a total of 1768 subjects. Results. In the Vietnamese sample, 47 single-nucleotide polymorphisms (SNPs) overlapping TNFSF15 and the adjacent TNFSF8 gene were associated with T1R but not with leprosy. Of the 47 SNPs, 39 were cis-expression quantitative trait loci (cis-eQTL) for TNFSF8 including SNPs located within the TNFSF15 gene. In the Brazilian sample, 18 of these cis-eQTL SNPs overlapping the TNFSF8 gene were validated for association with T1R. Conclusions. Taken together, these results indicate TNFSF8 and not TNFSF15 as an important T1R susceptibility gene. Our data support the need for infection genetics to go beyond genes for pathogen control to explore genes involved in a commensurate host response.