TNF-α and lymphotoxin (LT)α have been shown to be important mediators of allograft rejection. TNF-R1 is the principal receptor for both molecules. Mice with targeted genetic deletions of TNF-R1 demonstrate normal development of T and B lymphocytes but exhibit functional defects in immune responses. However, the role of TNF-R1-mediated signaling in solid organ transplant rejection has not been defined. To investigate this question, we performed vascularized heterotopic allogeneic cardiac transplants in TNF-R1-deficient (TNF-R1−/−) and wild-type mice. Because all allografts in our protocol expressed TNF-R1, direct antigraft effects of TNF-α and LTα were not prevented. However, immunoregulatory effects on recipient inflammatory cells by TNF-R1 engagement was eliminated in TNF-R1−/− recipients. In our study, cardiac allograft survival was significantly prolonged in TNF-R1−/− recipients. Despite this prolonged allograft survival, we detected increased levels of CD8 T cell markers in allografts from TNF-R1−/− recipients, suggesting that effector functions, but not T cell recruitment, were blocked. We also demonstrated the inhibition of multiple chemokines and cytokines in allografts from TNF-R1−/− recipients including RANTES, IFN-inducible protein-10, lymphotactin, and IL-1R antagonist, as well as altered levels of chemokine receptors. We correlated gene expression with the physiologic process of allograft rejection using self-organizing maps and identified distinct patterns of gene expression in allografts from TNF-R1−/− recipients. These findings indicate that in our experimental system TNF-α and LTα exert profound immunoregulatory effects through TNF-R1.

Little is known regarding the graft response to transplantation injury. This study investigates the posttransplantation response of genes that are constitutively expressed in the heart. Constitutive heart and lymph node tissue-restricted gene expression was first analyzed with DNA microarrays. To demonstrate changes following transplantation in genes constitutively expressed in the heart, we performed vascularized murine heart transplants in allogeneic (BALB/c to B6), syngeneic (B6 to B6), and alymphoid (BALB/c-RAG2-/- to B6-RAG1-/-) experimental groups. Temporal induction of genes posttransplant relative to constitutive expression was evaluated with DNA microarrays. Dendrograms and self-organizing maps were generated to determine the dissimilarity between the experimental groups and to identify subsets of differentially expressed genes within the groups, respectively. Expression patterns of selected genes were confirmed by real-time PCR. Biological processes were assigned to genes induced posttransplant using the AnnBuilder package via the Gene Ontology Database. Post-transplant, a shift was noted in genes classified as defense, communication, and metabolism. Our results identify novel components of the graft response to transplantation injury and rejection.

Our results indicate that IFNgamma plays a distinct role in the modulation of gene expression that includes STAT4-independent mechanisms. Our study identifies eight genes (IL-1beta, IL-1RA, macrophage inflammatory protein-1beta, monocyte chemoattractant protein-1, CC-chemokine receptor (CCR)-1, CCR2, CCR5, and F4/80) that are highly expressed in all of our experimental groups. Thus, these genes become candidates for essential functions during rejection.

The study provides novel insights into the role of classical and non-classical MHC molecules in graft rejection.

Recent studies affirm costimulatory blockade as a beneficial means of preventing allograft rejection. The precise molecular effects of these pathways, however, are not entirely understood. A striking example is in the costimulatory pathways, 4-1BB/4-1BBL, CD40/CD40L, and B7/CD28. Blocking any one of these prolongs graft survival, yet each operates via distinct immunomodulatory signals. To examine the mechanistic relationships among these signals, our approach was a comprehensive investigation of their molecular constituents. Using a model of heterotopic heart transplantation in mice with a costimulatory pathway deficiency, we analyzed the expression profiles of a large panel of immune and inflammatory genes using ribonuclease protection assays coupled with algorithms. We found that while graft survival was prolonged in all groups, each pathway modulates a unique profile of expressed genes. There were 19 genes, for example, with significant changes in expression compared to the control, yet none of these were similarly modulated in all three groups. Our study reveals that despite similar delays of allograft rejection, the molecular basis for this effect is distinct in all three costimulatory pathways. Furthermore, we underscore the existence of numerous molecular mechanisms affecting graft survival. This, in turn, provides crucial implications for clinical treatment post-transplant where inhibitors would be designed to target multiple mechanisms.

Overall, the authors' study shows that the individual regulatory effects of these different lymphocyte antigen receptors are distinct. In addition, several genes are identified that are candidates as necessary for rejection. This has crucial implications for developing clinical therapies that target specific mechanisms for prolonging graft survival.

Recent technological advances in biomedical research, such as genomesequences and DNA microarrays, have dramatically increased the size of relevant databases. A major challenge is the extraction of a limitednumber of parameters from these databases that can differentiate anddiagnose complex biological states. In a model of cardiactransplantation investigating immunosuppression by inhibition of CD40ligand costimulation, we have applied a combination of clusteralgorithms and self-organizing maps to analyze a panel of 60 candidategenes. Dendrograms generated by cluster analysis distinguisheddifferent molecular bases of rejection. Using self-organizing maps, weidentified nine genes (CD4, CCR3, CCR5, LTβ, MIP-1α, MIP-2, CD8α,IP-10, and RANTES), each with a unique profile of transcriptionalexpression, that reproduce the differentiation of states of rejectionin dendrograms. Using histology and immunohistochemistry, we correlateddifferential regulation of CD4 and CD8 at the levels of mRNA andprotein. Our strategy of data reduction successfully decreased thenumber of genes to nine, which are sufficient to differentiate distinctstates of rejection in our experimental protocol.