Doctoral Thesis
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- Klinik für Psychiatrie und Psychotherapie (6) (remove)
Being the victim of traumatizing events has consequences that can lead to wellknown mental disorders, such as depression. However, newest studies show that these events do not only affect the victims’ behavior, but also the expression levels of specific genes in their blood and in their brain. Latest research discovered little pieces of RNA in the cells that were long thought to be genetic junk. Nevertheless, these so-called miRNAs can regulate the expression of multiple genes, thus modulating metabolism and cell functioning. The aim of this study was to see if childhood traumatization led to a set of differentially expressed miRNA profiles in the peripheral blood. For this, we used subjects from the SHIP trend cohort, who had previously answered various questionnaires, among them the Childhood Trauma Questionnaire and the Patients Health Questionnaire-9 and analyzed the miRNAs in their blood to find out whether there was an association between the score and the dysregulation of certain miRNAs. Furthermore, we selected 5 different independent variables: PHQ-trend, CTQ score, as well as its subscales Abuse and Neglect, and Major Depressive Disorder lifetime prevalence. The analyses showed a set of up- or downregulated miRNAs in the blood. In a second step, we tried to replicate our results comparing them to results in the literature. Some of the significantly dysregulated miRNAs had previously been described as key players in the pathogenesis of MDD, a few even displaying similar results to ours. The next step was to see if the significant miRNAs had common target genes and if these had been described in the literature as having an influence on MDD, showing positive results. One last step was to see if there were also common biological pathways that were modulated by the differentially expressed miRNA. This analysis did not show promising results since there were almost no brain pathways among the results. For future studies, it will be necessary to validate our results using a clinical sample, such as GANI_MED, where the prevalence of childhood traumatization, as well as MDD, is much higher. By doing this, new possibilities of trauma treatment through modulation of epigenetic pathways could arise. If childhood traumatization leads to a set of dysregulated miRNAs that can end in a positive diagnosis of MDD in adulthood, what effects could have a targeted miRNA therapy on the pathogenesis of these psychiatric disorders?
Tourette syndrome has been associated with impairments of performance monitoring and alterations of attentional and executive functions. This impairment has been linked to fronto-striatal dysfunctions, which comprise the same braincircuits that are actively engaged in the suppression of tics. We compared behavioral performance and performance monitoring in nineteen boys with Tourette syndrome (TS) (mean age 12.64 years, ± 2.05) and nineteen age-matched controls (mean age 13.16 years, ± 2.29) in a Go/NoGo paradigm. This paradigm was designed to test for problems with inhibition and attention when withholding the response to NoGo targets following repetitive Go targets. The results indicated similar performance accuracy in the TS group and the control group. TS participants showed the expected pattern of Post-Error Slowing, but responded significantly also slower to correct Go trials than the controls. The reaction times (RT) to NoGo targets in commission errors, however, did not differ between the groups. The results suggest that boys with TS develop inhibitory adaptive strategies (overall slower reaction times) to maintain high performance accuracy. These effects may be suspended prior to and during NoGo commission errors.
Aiming at the goal of individualized medicine, this dissertation develops a generic methodology to individualize risk factors and phenotypes via metabolomic data from the urine. As metabolomic data can be seen as a holistic representation of the metabolism of an organism at certain time point, metabolomic data contain not only information about current life-style factors like diet and smoking but also about latent genetic traits. Utilizing this integrative attribute, the dissertation delivers a metric for biological age (the metabolic age score) which was shown to be informative beyond chronological age in three independent samples. It was associated with a broad range of age-related comorbidities in two large population-based cohorts, predicted independently of classical risk factors mortality and, moreover, it predicted weight loss subsequently to bariatric surgery in a small sample of heavily obese individuals.
Subsequently to this work, the dissertation built a definitional framework justifying the procedure underlying the metabolic age score, delivering a general framework for the construction of individualized phenotypes and thereby an operationalization of individualization in statistical terms. Conceptualizing individualization of the process of differentiation of individuals showing the same phenotype despite different underlying biological traits, it was shown formally that the prediction error of a statistical model approximating a phenotype is always informative about the underlying biology beyond the phenotype if the predictors fulfill certain statistical requirements. Thus, the prediction error facilitates the meaningful differentiation of individuals showing the same phenotype. The definitional framework presented here is not restricted to any kind of data and is therefore applicable to a broad range of medical research questions.
However, when utilizing metabolomic data, technical factors, data-preprocessing, pre-analytic features introduce unwanted variance into the statistical modeling. Thus, it is unclear whether predictive models like the metabolic age score are stable enough for clinical application. The third part of this doctoral thesis provided two statistical criteria to decide which normalization method to remove the dilution variance from urinary metabolome data performs best in terms of erroneous variance introduced by the different methods, aiding the minimization of biological irrelevant variance in metabolomic analyses.
In conclusion, this doctoral thesis developed a general, applicable, definitional framework for the construction of individualized phenotypes and demonstrated the value of the methodology for clinical phenotypes on metabolomic data, improving on the way the statistical treatment of urinary data regarding the dilution correction.
Objective
Alexithymia is associated with various mental and physical disorders. Some rare evidence also suggested high alexithymia to affect the HPA axis based on small and selective samples. It was aimed to investigate the impact of alexithymia on basal cortisol levels in a large population-based cohort.
Methods
In a sample of N = 3444 individuals from the Study of Health in Pomerania (SHIP-TREND-0), the effect of alexithymia on basal serum cortisol levels was investigated in a cross-sectional design.
Multiple linear regressions utilizing cortisol levels as the response variable and alexithymia as the predictor of interest were calculated, while adjusting for conven-tional confounding covariates including depression. Multiple stratified, moderation and mediation analyses were performed to validate the results.
Results
Alexithymia was not significantly associated with basal cortisol levels (b = 0.23, 95 percent confidence interval (CI) of [-0.24, 0.69]; sr2 = 0.00, CI: [-0.00, 0.00]).
Sex- and age-stratified regression analyses as well as dichotomized models of non-alexithymic and alexithymic individuals substantiated the non-significance.
Additional mediation analyses with (1) depression and (2) physical health (R2 > 1 in both cases) and moderation analysis regarding the interaction of physical health and alexithymia (b = -1.45, 95 percent confidence interval (CI) of [-6.13, 3.32]; sr2 = 0.00, CI: [-0.00, 0.00]) corroborated the results.
Conclusion
This study does not support previous findings as it shows no association between alexithymia and basal cortisol; however, a consideration of the circadian rhythm, stress exposure or specific sample compositions heeding the methodological design should be the subject of further research.
The experience of abuse in the period of childhood and youth is a key stressor that has con-sequences on the developing brain and is associated with the genesis of mental disorders. Childhood abuse and depression often cooccur together and have both been associated with cortical thickness resulting in a difficulty to detangle the influence of each factor. In prior studies, childhood abuse and depression were inconsistently related to whole-brain cortical thickness. Thus, this thesis aims to investigate the link between childhood abuse, depres-sive symptoms, and alterations of the cortex.
Therefore, this study analyses 1,551 individuals of the general population. A significant in-teraction effect of childhood abuse and depressive symptoms is observed for whole-brain cortical thickness. Yet, the results indicate no influence of childhood abuse or depression alone. A thinner cortex was associated with more severe depressive symptoms in the abused, but not in the non-abused group. In non-depressed participants, an increased whole-brain cortex was found in the abused, compared to the non-abused group. Similar interaction effects were observed in 12 out of 34 cortical regions.
The results suggest, in line with prior findings, that depressed individuals with a history of childhood abuse are a specific ecophenotype which is also reflected in specific brain altera-tions. Cortical regions that are distinct associated with the interaction of depressive symp-toms and childhood abuse are involved in various fields such as sensory processing, self-conception, and memory. Greater cortical thickness in subjects with childhood abuse and without depressive symptoms might act compensatory and thus reflect resilience against depressive symptoms.
Practical implications concern the treatment and diagnostic system as well as the im-portance of early prevention programs. An individualised treatment is necessary as various studies found a less favourable outcome in depressive patients with a history of maltreat-ment. Therefore, it seems urgent to assess experiences of childhood abuse at the beginning of psychiatric and psychotherapeutic treatment. In addition, early prevention programs are in need to support vulnerable family systems and thereby strengthening the economic, health and social system.
Psychiatric disorders are highly heritable. But the underlying molecular mechanisms are largely unknown or not understood. For many disorders, candidate genes have been proposed which are biologically driven or based on large GWAS studies. In this work different approaches were shown to investigate the impact of genetic risk factors for major psychiatric disorders in the general population. These genetic risk variants include single nucleotide polymorphisms associated with schizophrenia or major depression and were analyzed using the whole-genome information in polygenic scores or candidate marker analysis in GxE studies. Genetic data from SHIP-0 and SHIP-TREND have been used to calculate a polygenic risk score for schizophrenia. Here, the association between this genetic score and brain alterations is shown in three independent samples (SHIP-2, SHIP-TREND and BIG) which revealed no hint of a common genetic basis for schizophrenia and brain structure. These results are in line with other studies that also failed to find a genetic overlap. The same polygenic scores had been used in a PHEWAS analysis in SHIP-0 where an inverse association to migraine was found. This association could be attributed to the NMDA receptor activation via D-serine at the glutamatergic synapse. To assess the impact of environmental factors on the path from genes to phenotype, gene-environment interactions were applied. A significant interaction could be observed between rs7305115 (TPH2) and rs25531 (5-HTTLPR) and childhood abuse on current depression score in SHIP-LEGEND and SHIP-TREND. In summary, genetic variants associated with major psychiatric disorders can exhibit pleiotropic effects on common phenotypes in the general population.