De uitkomsten beschreven in dit proefschrift dragen bij aan de bestaande overtuiging dat een verfijndere classificatie voor depressie, op basis van symptoomprofielen en hun mogelijke biologische... Show moreDe uitkomsten beschreven in dit proefschrift dragen bij aan de bestaande overtuiging dat een verfijndere classificatie voor depressie, op basis van symptoomprofielen en hun mogelijke biologische onderbouwing, overwogen dient te worden. Inmiddels wordt adipositas in de dagelijkse praktijk op meer dan alleen het BMI beoordeeld, namelijk ook de tailleomtrek en het lipidenprofiel. Echter, dergelijke aandacht bestaat nog niet voor de heterogeniteit van depressie. Een grotere bewustwording van de verschillende manifestaties van depressie-symptomatologie, die het gevolg kunnen zijn van uiteenlopende pathofysiologische mechanismen, is van essentieel belang. Wanneer een patiënt met depressie een atypisch energie-gerelateerd symptoomprofiel heeft, kan het nuttig zijn om diens metabole biomarkers te controleren om mogelijke ontwikkeling van cardiometabole ziekten te voorkomen. In de klinische praktijk moeten wij ons bij de behandeling van patiënten met depressie ook meer bewust worden van de correlatie tussen symptoomprofielen van depressie en afzonderlijke biologische en klinische manifestaties. Het is cruciaal om goed te kijken naar de symptomen die bij elke patiënt tot uiting komen. De resultaten van dit proefschrift tonen aan dat patiënten met een depressie die atypische energie-gerelateerde depressieve symptomen vertonen, genetisch en klinisch kwetsbaar zijn voor aan insulineresistentie gerelateerde ziekten (namelijk adipositas, metabole ontregelingen en diabetes mellitus type 2). Een gepersonaliseerde aanpak kan behulpzaam zijn in preventie van deze chronische en complexe ziekten. Hierbij dient er rekening gehouden worden met de heterogeniteit van depressie en de associatie tussen atypische energie-gerelateerde symptomen van depressie en deze ziekten. Show less
BackgroundB vitamins such as folate (B9), B6, and B12 are key in one carbon metabolism, which generates methyl donors for DNA methylation. Several studies have linked differential methylation to... Show moreBackgroundB vitamins such as folate (B9), B6, and B12 are key in one carbon metabolism, which generates methyl donors for DNA methylation. Several studies have linked differential methylation to self-reported intakes of folate and B12, but these estimates can be imprecise, while metabolomic biomarkers can offer an objective assessment of dietary intakes. We explored blood metabolomic biomarkers of folate and vitamins B6 and B12, to carry out epigenome-wide analyses across up to three European cohorts. Associations between self-reported habitual daily B vitamin intakes and 756 metabolites (Metabolon Inc.) were assessed in serum samples from 1064 UK participants from the TwinsUK cohort. The identified B vitamin metabolomic biomarkers were then used in epigenome-wide association tests with fasting blood DNA methylation levels at 430,768 sites from the Infinium HumanMethylation450 BeadChip in blood samples from 2182 European participants from the TwinsUK and KORA cohorts. Candidate signals were explored for metabolite associations with gene expression levels in a subset of the TwinsUK sample (n = 297). Metabolomic biomarker epigenetic associations were also compared with epigenetic associations of self-reported habitual B vitamin intakes in samples from 2294 European participants.ResultsEighteen metabolites were associated with B vitamin intakes after correction for multiple testing (Bonferroni-adj. p < 0.05), of which 7 metabolites were available in both cohorts and tested for epigenome-wide association. Three metabolites — pipecolate (metabolomic biomarker of B6 and folate intakes), pyridoxate (marker of B6 and folate) and docosahexaenoate (DHA, marker of B6) — were associated with 10, 3 and 1 differentially methylated positions (DMPs), respectively. The strongest association was observed between DHA and DMP cg03440556 in the SCD gene (effect = 0.093 ± 0.016, p = 4.07E−09). Pyridoxate, a catabolic product of vitamin B6, was inversely associated with CpG methylation near the SLC1A5 gene promoter region (cg02711608 and cg22304262) and with SLC7A11 (cg06690548), but not with corresponding changes in gene expression levels. The self-reported intake of folate and vitamin B6 had consistent but non-significant associations with the epigenetic signals.ConclusionMetabolomic biomarkers are a valuable approach to investigate the effects of dietary B vitamin intake on the human epigenome. Show less
This thesis aimed to provide insight in the etiology, predictors, and outcomes of aggression and antisocial behavior in children and adolescents. The first part of this thesis focused on more... Show moreThis thesis aimed to provide insight in the etiology, predictors, and outcomes of aggression and antisocial behavior in children and adolescents. The first part of this thesis focused on more conventional prediction of outcomes and continuation of aggression and antisocial behavior on the basis of the following constructs: parental psychopathology (Chapter 2), anxiety and depression (Chapter 3), and Oppositional Defiant Disorder symptoms (Chapter 4). Next, the second part of this thesis focused on novel biological markers of aggression, consisting of a review on the genetics of aggression (Chapter 5) and an empirical study on the metabolomics of aggression (Chapter 6). Chapter 7 provides a summary and general discussion of the thesis' contents. Show less
Heart failure is a major health care problem with high mortality. Although advances have been made in treatment of patients suffering from heart failure with reduced ejection fraction, this is not... Show moreHeart failure is a major health care problem with high mortality. Although advances have been made in treatment of patients suffering from heart failure with reduced ejection fraction, this is not true for patients suffering from heart failure with preserved ejection fraction. The mechanism underlying heart failure with preserved ejection fraction is still unclear. Recent evidence suggests that factors circulating in blood might have an effect on the microvessels, including those in the heart. To diagnose and treat microvascular diseases, we aim to explore the association of circulating plasma factors with microvascular integrity. As current human 2D models with cultured endothelial cells lack sufficient complexity to assess the function of microvascular endothelial-pericyte interactions, research on microvascular loss largely depends on animal models. To mimic the microarchitecture and functions of the human blood vessel in a more efficient way for drug discovery, we developed the microvessel-on-a-chip. This system allowed us to screen microvascular destabilization factors in blood and study the efficacy of potential drugs for microvascular diseases. In conclusion, our platform may serve as a unique tool for microvascular destabilization studies as well as for the development of novel therapeutic strategies to combat microvascular complications. Show less
In this thesis, we focus on recipients of donation after circulatory death (DCD) kidneys in the first months after transplantation. DCD kidney transplant recipients have an increased risk of early... Show moreIn this thesis, we focus on recipients of donation after circulatory death (DCD) kidneys in the first months after transplantation. DCD kidney transplant recipients have an increased risk of early complications post transplantation such as acute rejection and delayed graft function (DGF). A sensitive and specific biomarker to monitor the occurrence of an acute rejection episode or (the resolution of) DGF is unfortunately not available to date. For a definite diagnosis, a kidney allograft biopsy remains the so-called ‘golden standard’. A percutaneous kidney biopsy is, however, an invasive procedure with a risk of bleeding complications. Guidance in daily clinical practice by a simple but reliable marker is needed, and can help to monitor regular resolution of DGF and/or identify intercurrent problems such as acute rejection episodes. In the current thesis we investigated risk factors of acute rejection and DGF. In addition, the most promising biomarkers of kidney injury according to current literature (i.e. KIM-1, NGAL, TIMP-2, IGFBP7) were investigated in the prediction of DGF and acute rejection. Furthermore, we used an alternative approach in the search for biomarkers by analyzing smaller molecules with Nuclear Magnetic Resonance (NMR) spectroscopy.We still have not found the ‘perfect’ biomarker to monitor acute rejection DGF after kidney transplantation, however of all biomarkers investigated TIMP-2 showed the greatest potential. Using the approach of metabolomics, we were able to identify new biomarkers. Further studies are needed to confirm and validate these results and evaluate their usefulness in daily clinical practice. Show less
BACKGROUND: Depression has been associated with metabolic alterations, which adversely impact cardiometabolic health. Here, a comprehensive set of metabolic markers, predominantly lipids, was... Show moreBACKGROUND: Depression has been associated with metabolic alterations, which adversely impact cardiometabolic health. Here, a comprehensive set of metabolic markers, predominantly lipids, was compared between depressed and nondepressed persons.METHODS: Nine Dutch cohorts were included, comprising 10,145 control subjects and 5283 persons with depression, established with diagnostic interviews or questionnaires. A proton nuclear magnetic resonance metabolomics platform provided 230 metabolite measures: 51 lipids, fatty acids, and low-molecular-weight metabolites; 98 lipid composition and particle concentration measures of lipoprotein subclasses; and 81 lipid and fatty acids ratios. For each metabolite measure, logistic regression analyses adjusted for gender, age, smoking, fasting status, and lipid-modifying medication were performed within cohort, followed by random-effects meta-analyses.RESULTS: Of the 51 lipids, fatty acids, and low-molecular-weight metabolites, 21 were significantly related to depression (false discovery rate q < .05). Higher levels of apolipoprotein B, very-low-density lipoprotein cholesterol, triglycerides, diglycerides, total and monounsaturated fatty acids, fatty acid chain length, glycoprotein acetyls, tyrosine, and isoleucine and lower levels of high-density lipoprotein cholesterol, acetate, and apolipoprotein Al were associated with increased odds of depression. Analyses of lipid composition indicators confirmed a shift toward less high-density lipoprotein and more very-low-density lipoprotein and triglyceride particles in depression. Associations appeared generally consistent across gender, age, and body mass index strata and across cohorts with depressive diagnoses versus symptoms.CONCLUSIONS: This large-scale meta-analysis indicates a clear distinctive profile of circulating lipid metabolites associated with depression, potentially opening new prevention or treatment avenues for depression and its associated cardiometabolic comorbidity. Show less
Boone, S.; Mook-Kanamori, D.; Rosendaal, F.; Heijer, M. den; Lamb, H.; Roos, A. de; ... ; Mutsert, R. de 2019
IntroductionThe Alzheimer's Disease Research Summits of 2012 and 2015 incorporated experts from academia, industry, and nonprofit organizations to develop new research directions to transform our... Show moreIntroductionThe Alzheimer's Disease Research Summits of 2012 and 2015 incorporated experts from academia, industry, and nonprofit organizations to develop new research directions to transform our understanding of Alzheimer's disease (AD) and propel the development of critically needed therapies. In response to their recommendations, big data at multiple levels are being generated and integrated to study network failures in disease. We used metabolomics as a global biochemical approach to identify peripheral metabolic changes in AD patients and correlate them to cerebrospinal fluid pathology markers, imaging features, and cognitive performance.MethodsFasting serum samples from the Alzheimer's Disease Neuroimaging Initiative (199 control, 356 mild cognitive impairment, and 175 AD participants) were analyzed using the AbsoluteIDQ-p180 kit. Performance was validated in blinded replicates, and values were medication adjusted.Results Multivariable-adjusted analyses showed that sphingomyelins and ether-containing phosphatidylcholines were altered in preclinical biomarker-defined AD stages, whereas acylcarnitines and several amines, including the branched-chain amino acid valine and α-aminoadipic acid, changed in symptomatic stages. Several of the analytes showed consistent associations in the Rotterdam, Erasmus Rucphen Family, and Indiana Memory and Aging Studies. Partial correlation networks constructed for Aβ1–42, tau, imaging, and cognitive changes provided initial biochemical insights for disease-related processes. Coexpression networks interconnected key metabolic effectors of disease.DiscussionMetabolomics identified key disease-related metabolic changes and disease-progression-related changes. Defining metabolic changes during AD disease trajectory and its relationship to clinical phenotypes provides a powerful roadmap for drug and biomarker discovery. Show less
The work described in this thesis presents part of a framework that can be used to extract detailed disease biological information from peripheral tissue. This framework is based on the... Show moreThe work described in this thesis presents part of a framework that can be used to extract detailed disease biological information from peripheral tissue. This framework is based on the central dogma of biology “DNA to RNA to protein” and on a systems biology approach that aims to produce synergetic data whose disease pathological, prognostic and predictive value is greater than the sum of the individual experiment results. HD patients are often characterized by a multifaceted clinical profile, consisting of several symptoms and variable disease progression rates. Therefore, a systems approach such as the one described above is expected to be the most effective in identifying potential treatments and predictive biomarkers that will be most informative for the different patient subpopulations. Show less
Kohler, I.; Hankemeier, T.; Graaf, P.H. van der; Knibbe, C.A.J.; Hasselt, J.G.C. van 2017
Conclusions: This study indicates that urinary metabolic profiles are promising host biomarkers for the detection of intra-individual changes during acute inflammation in leprosy and could... Show moreConclusions: This study indicates that urinary metabolic profiles are promising host biomarkers for the detection of intra-individual changes during acute inflammation in leprosy and could contribute to early treatment and prevention of tissue damage. (C) 2016 The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). 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
