Leprosy is a multifactorial chronic disease caused by Mycobacterium leprae or Mycobacterium lepromatosis that affects the skin and nerves. More than 200.000 new cases are diagnosed per year; thus,... Show moreLeprosy is a multifactorial chronic disease caused by Mycobacterium leprae or Mycobacterium lepromatosis that affects the skin and nerves. More than 200.000 new cases are diagnosed per year; thus, transmission is still ongoing. The most likely way of transmission is the respiratory route form human-to-human; however, transmission is still not clearly understood. Early diagnosis of leprosy is crucial to reduce and avoid transmission as well as leprosy-associated disabilities, which are also a cause of stigma. Currently, diagnosis is performed based on clinical signs and symptoms and late- or mis-diagnosis are not uncommon.In this thesis, we combined the study of pathogen transmission with host transcriptomic and genomic biomarkers. To explore M. leprae transmission a One Health approach was followed, where human, animal and environmental samples were studied.The combination of demographic characteristics, pathogen detection, genetic and/or transcriptomic biomarkers can be applied in a multifactorial leprosy signature applicable for early diagnosis of leprosy and/or to guide intervention strategies. Identification of predictive biomarkers will in due course lead to prompt treatment, preventing leprosy-associated irreversible disabilities as well as reducing M. leprae transmission. Show less
In the studies comprising this thesis we evaluated the potential usefulness of cDNA microarray based gene expression profiling and 1H-NMR based metabolomics platforms as tools for the evaluation of... Show moreIn the studies comprising this thesis we evaluated the potential usefulness of cDNA microarray based gene expression profiling and 1H-NMR based metabolomics platforms as tools for the evaluation of novel PPAR_ and -_ agonists in future clinical __proof of concept studies__. We investigated the effects of rosiglitazone, (prototype PPAR_ agonist ) and ciprofibrate (prototype PPAR_ agonist) on global (target) tissue gene expression profiles and endogenous urinary and plasma metabolites of type 2 Diabetes Mellitus (T2DM) patients and healthy volunteers (HVs).The results from the transcriptomic analyses indicated that none of the genes in any of the tissues in either study group displayed a significant treatment response with either rosiglitazone of ciprofibrate vs. placebo at Bonferroni adjusted values and _=0.05. The results of the metabolomic analyses revealed significant rosiglitazone and ciprofibrate induced changes in endogenous urinary and plasma metabolite profiles of T2DM patients but not in HVs. We conclude that from the two molecular profiling platforms evaluated in this thesis, metabolomics currently appears to be the most promising platform for future application in clinical __proof of concept__ studies with novel PPAR agonist compounds in T2DM patients.In the studies comprising this thesis we evaluated the potential usefulness of cDNA microarray based gene expression profiling and 1H-NMR based metabolomics platforms as tools for the evaluation of novel PPAR_ and -_ agonists in future clinical __proof of concept studies__. We investigated the effects of rosiglitazone, (prototype PPAR_ agonist ) and ciprofibrate (prototype PPAR_ agonist) on global (target) tissue gene expression profiles and endogenous urinary and plasma metabolites of type 2 Diabetes Mellitus (T2DM) patients and healthy volunteers (HVs).The results from the transcriptomic analyses indicated that none of the genes in any of the tissues in either study group displayed a significant treatment response with either rosiglitazone of ciprofibrate vs. placebo at Bonferroni adjusted values and _=0.05. The results of the metabolomic analyses revealed significant rosiglitazone and ciprofibrate induced changes in endogenous urinary and plasma metabolite profiles of T2DM patients but not in HVs. We conclude that from the two molecular profiling platforms evaluated in this thesis, metabolomics currently appears to be the most promising platform for future application in clinical __proof of concept__ studies with novel PPAR agonist compounds in T2DM patients. Show less
