Thiopurine treatment in patients with Crohn's disease leads to a selective reduction of an effector cytotoxic gene expression signature revealed by whole-genome expression profiling.

Crohn's disease (CD) is characterized by chronic inflammation of the gastrointestinal tract, as a result of aberrant activation of the innate immune system through TLR stimulation by bacterial products. The conventional immunosuppressive thiopurine derivatives (azathioprine and mercaptopurine) are used to treat CD. The effects of thiopurines on circulating immune cells and TLR responsiveness are unknown. To obtain a global view of affected gene expression of the immune system in CD patients and the treatment effect of thiopurine derivatives, we performed genome-wide transcriptome analysis on whole blood samples from 20 CD patients in remission, of which 10 patients received thiopurine treatment, compared to 16 healthy controls, before and after TLR4 stimulation with LPS. Several immune abnormalities were observed, including increased baseline interferon activity, while baseline expression of ribosomal genes was reduced. After LPS stimulation, CD patients showed reduced cytokine and chemokine expression. None of these effects were related to treatment. Strikingly, only one highly correlated set of 69 genes was affected by treatment, not influenced by LPS stimulation and consisted of genes reminiscent of effector cytotoxic NK cells. The most reduced cytotoxicity-related gene in CD was the cell surface marker CD160. Concordantly, we could demonstrate an in vivo reduction of circulating CD160(+)CD3(-)CD8(-) cells in CD patients after treatment with thiopurine derivatives in an independent cohort. In conclusion, using genome-wide profiling, we identified a disturbed immune activation status in peripheral blood cells from CD patients and a clear treatment effect of thiopurine derivatives selectively affecting effector cytotoxic CD160-positive cells.

Defective IL-1A expression in patients with Crohn's disease is related to attenuated MAP3K4 signaling.

Crohn's disease (CD) is characterized by an aberrant immune response to bacterial products stimulating TLR, in genetically susceptible hosts. Next to mutations in the TLR signaling molecule NOD2, several other immune response- and autophagy-genes contribute to CD. Since only 10-20% of cases can be explained by a NOD2 defect, we searched for additional TLR-related disease-causing factors. We analyzed the LPS response of peripheral blood mononuclear cells from 23 CD patients in remission, compared to 16 controls in a time course experiment. Individuals with any of the three major contributing NOD2 mutations were excluded. Overall, the LPS-responsive gene transcript levels, determined by low density arrays, were significantly lower in CD patients. In particular IL-1A expression was severely reduced in CD patients (ninefold reduction, p=0.001). Quantification of several important TLR4 signal transducers and cytokines identified MAP3K4 as a candidate signaling molecule with reduced expression in CD patients, which might explain the low IL-1A expression. Silencing of MAP3K4 by lentiviral shRNA transduction indeed showed that the expression of IL-1A was specifically dependent on this kinase. Furthermore, the expression of GSK3ß, an inhibitor of MAP3K4, was increased in CD patients. In conclusion, we identified a novel TLR signaling defect in CD patients involving MAP3K4 and IL-1A. This confirms the hypothesis that CD patients, despite their massive intestinal inflammation, suffer from a relative immune deficiency in TLR-mediated cytokine production.

[Molecular unraveling of disease by means of DNA-microarrays]. / Moleculaire ontrafeling van ziekte met DNA-microarrays.

Determination of the human genome sequence and the development of microarray technologies allowing the rapid measurement of all genes in the genome have generated new perspectives for our current biomedical research. Gene expression analysis will make a major contribution to our insight into the underlying biology of disease and will lead to improved methods for diagnostics, prognosis and treatment. Microarray studies create the possiblity to subclassify patients with diseases such as rheumatoid arthritis, diffuse large B-cell lymphoma and breast cancer, with both prognostic and therapeutic consequences. The simultaneous quantification of the activity of all genes in tissues or cells from patients by microarray technology, linked to the clinical parameters, creates a large number of data points, which cannot be analysed without the aid of the advanced application of bioinformatics. As a result, genomic research has become, in part, a bioinformatics discipline that will be integrated with clinical medicine. The microarray technology makes it possible to develop personalized medicine, with a more accurate diagnosis and prognosis for every patient and subsequently a tailored treatment strategy.