Anti-CD3D monoclonal antibody, clone NFN-03

Currently, the pathogenesis of chronic GVHD is unclear. To elucidate the molecular characteristics underlying chronic GVHD, we analyzed the gene expression profiles of 21 mononuclear cell samples from allogeneic hematopoietic stem cell transplantation (HSCT) recipients. Self organizing map (SOM) clustering showed that the entire expression profiles of chronic GVHD samples were clearly different from those of the non-GVHD samples, and significance analysis of microarray (SAM) demonstrated that 120 genes, including PTDSS1, VAV1 and CD3D, were up-regulated, and 5 genes, including calnexin, were down-regulated in GVHD patients. Gene ontology annotation revealed that these genes are related to the phosphorous metabolism and lipid biosynthesis. Quantitative real time polymerase chain reaction (qRT-PCR) experiments validated the up-regulation of PTDSS1, VAV1 and CD3D in separate samples. Pathway-wise global test revealed that differential gene expression in cell cycle and T cell immune-associated pathways were significant between GVHD patients and non-GVHD patients. Seventeen classifier genes selected using a PAM (prediction analysis of microarray) algorithm showed favorable performance (prediction accuracy 0.85) for identifying patients with chronic GVHD. In conclusion, we identified differentially expressed genes and pathways in chronic GVHD patients using microarray analysis, and we also selected diagnostic genes predicting chronic GVHD status.

DNA profiles (immunoprints) were generated for 120 patients suffering from early onset pauciarticular chronic arthritis (EOPA-JCA) and >500 healthy controls utilizing highly polymorphic microsatellites in the vicinity of immunorelevant genes. Six T cell receptor (TCR) markers for the CD3D, TCRDVAJ, TEA, TCRBV6S1, BV6S3, BV6S7 and BV13S2 genes were analysed. Furthermore markers for the cell surface molecule CD40L, for cytokine genes (IL-1A, IL-2, IFN-alpha, FGF-alpha, TNF-alpha), the chromosomal region of the IRF2 and the cytokine receptor gene IL5RA were studied as well as two polymorphisms within the promotor region of the TNF-alpha gene. Coding region polymorphisms were evidenced indirectly by repeat length variation or they were predicted from the microsatellite distribution profiles and then confirmed by direct sequence analysis. Statistical evaluations were performed with respect to known predispositions, predominance of females (>80%) and HLA-DR and -DQ haplotypes. Cell surface molecules (TCR, CD40L, IL5RA) as well as almost all cytokines (IL-1A, IFN alpha, FGFA, IRF2 region) were excluded as predisposing in our JCA panel. The TNF-alpha microsatellite alleles (GT)(10-12) contribute considerably to manifestation of the disease, in HLA-DRB1*11(12) individuals (RR = 12.8). The TNF-alpha allele is not found in linkage disequilibrium with HLA-DRB1*11(12) and may be present on either chromosome 6. Thus, a novel susceptibility factor probably within the TNFA/TNFB gene region has been identified via linkage with the TNF-alpha microsatellite allele. Apparently complex compositions of the genetic background rather than single genes provide the precondition for manifestation of the autoimmune disease EOPA-JCA. Immunoprinting unravels the variability of the immunological genome via the semi-directed microsatellite approach efficiently.