Pharmacotranscriptomics in thiopurine treated IBD patients with different metabolite profiles
2008 (English)Manuscript (preprint) (Other academic)
Background: Thiopurine drugs are used to induce and maintain remission in inflammatory bowel disease. The methyl thioinosine monophosphate (meTIMP)/6-thioguanine nucleotide (6-TGN) concentration ratio has been related to drug response and adverse reactions. Here we investigated for differences in gene expression levels between patients with different metabolite profiles.
Methods: Transcriptional profiles in blood samples from an exploratory patient cohort (n=21) comprising three groups; patients with normal thiopurine S-methyltransferase phenotype and meTIMP/6-TGN concentration ratio >20, ratio 10.0-14.0 and ratio ≤4, respectively, were assessed by hybridization to microarrays. Results were further evaluated with reverse transcription qPCR [exploratory and a validation cohort of patients (n=33)]. Additionally, known genes of the thiopurine metabolic pathway were analysed separately.
Results: The whole genome expression analysis did not identify any significant differences between metabolite profiles. Analysis of thiopurine related genes revealed a large interindividual variation in gene expression, but only small differences between metabolite profiles. Three clusters of co-regulated genes were defined based on correlations between gene expression levels. The concentration of meTIMP correlated to the expression of NT5E (rs = 0.33, P = 0.02) and TPMT (rs = - 0.37, P = 0.007). The concentration of 6-TGN correlated to the expression of HPRT1 (rs = - 0.31, P = 0.03) and SLC29A1 (rs = 0.33, P = 0.02). With the exception of SLC29A1, these genes belonged to the same cluster of genes.
Conclusions: Our results illustrates the complexity of the thiopurine metabolism and suggest that differences between metabolite profiles are explained either by interactions between several genes, each with a small contribution, or at the post-transcriptional level. Search for more precise tools in order to explain differences in metabolite profiles is needed.
Place, publisher, year, edition, pages
2008. Vol. 65, no 1, 69-77 p.
Medical and Health Sciences
IdentifiersURN: urn:nbn:se:liu:diva-66432OAI: oai:DiVA.org:liu-66432DiVA: diva2:403838