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Browsing by Subject "psychosis"

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  • Ouabbou, Sophie (2019)
    Tiivistelmä – Referat – Abstract Mental disorders are among the leading causes of global disease burden and years lived with disability. Their pathogenesis is poorly understood and there are enormous challenges in the development of biomarkers to aid in diagnosis and more effective therapeutic options. It has been documented that the microbiota-gut-brain axis shows alterations in mental disorders such as anxiety, depression, autism spectrum disorders, bipolar disorder and schizophrenia. Here we study the gut microbiota of individuals with axis I mental disorders and their unaffected siblings by 16S RNA gene amplicon sequencing. In the Central Valley of Costa Rica, a total of 37 participants were recruited and diagnosed using a Best Estimate Diagnosis protocol. For each of the individuals diagnosed with a mental disorder a healthy sibling was selected after matching by age and gender. A total of 13 pairs of 26 siblings, affected and unaffected, was used for the analysis. In a subsequent analysis, individuals were also divided into the three categories of “unaffected” (UA), “affected without psychosis” (AA) and “affected with psychosis” (AP). They underwent clinical assessments about their habits and diet and about resilience (Connor-Davidson Resilience Scale), current status (SADS-C) and disability (WHODAS 2.0). Their fecal samples were collected freshly and stored at -80°C. DNA was extracted, libraries constructed by PCR and subjected for Illumina MiSeq 300 paired-end 16S RNA amplicon sequencing for analysis of the gut microbiota. The sequencing data were analyzed using the R packages mare and vegan for gut microbiota composition, diversity and richness, taking into account the identified confounders. All participants were of Hispanic ethnicity, residents of the San José Greater Metropolitan Area, adults and 69% of them were women. Affected individuals had major depression, bipolar affective disorder, psychosis non-otherwise specified or schizoaffective disorder. Based on beta-diversity analysis as a measure of the community-level microbiota variation, it was found that the use of levothyroxine (R2=0.08, p=0.005) and of irbesartan (R2=0.068 ,p=0.001) had a significant impact on the microbiota composition and hence the use of these drugs was included as confounder in further analyses. Several statistically significant differences in the relative abundance of intestinal bacteria were identified: Differences were found in the relative abundance of bacterial families Peptostreptococcaceae, Ruminococcaceae, Porphyromonadaceae, and in bacterial genera Pseudomonas, Barnesiella, Odoribacter, Paludibacter, Lactococcus, Clostridium, Acidaminococcus and Haemophilus. Our results indicate that affected individuals have more pro-inflammatory Proteobacteria (Pseudomonas) and less bacteria associated to healthy phenotype, such as Barnesiella and Ruminococcaceae, the former being dose-dependently depleted in AP and AA compared to UA. Furthermore, we documented decreased bacterial richness among affected participants while no significant differences were detected in alpha diversity. Our study identified significant differences in the microbiota of individuals affected by mental illness when comparing to their healthy siblings. The results may have important implications for the holistic understanding of mental health and its diagnosis and therapeutics. Larger studies to confirm these findings would be justified.
  • Sophie, Ouabbou (2019)
    Tiivistelmä – Referat – Abstract Mental disorders are among the leading causes of global disease burden and years lived with disability. Their pathogenesis is poorly understood and there are enormous challenges in the development of biomarkers to aid in diagnosis and more effective therapeutic options. It has been documented that the microbiota-gut-brain axis shows alterations in mental disorders such as anxiety, depression, autism spectrum disorders, bipolar disorder and schizophrenia. Here we study the gut microbiota of individuals with axis I mental disorders and their unaffected siblings by 16S RNA gene amplicon sequencing. In the Central Valley of Costa Rica, a total of 37 participants were recruited and diagnosed using a Best Estimate Diagnosis protocol. For each of the individuals diagnosed with a mental disorder a healthy sibling was selected after matching by age and gender. A total of 13 pairs of 26 siblings, affected and unaffected, was used for the analysis. In a subsequent analysis, individuals were also divided into the three categories of “unaffected” (UA), “affected without psychosis” (AA) and “affected with psychosis” (AP). They underwent clinical assessments about their habits and diet and about resilience (Connor-Davidson Resilience Scale), current status (SADS-C) and disability (WHODAS 2.0). Their fecal samples were collected freshly and stored at -80°C. DNA was extracted, libraries constructed by PCR and subjected for Illumina MiSeq 300 paired-end 16S RNA amplicon sequencing for analysis of the gut microbiota. The sequencing data were analyzed using the R packages mare and vegan for gut microbiota composition, diversity and richness, taking into account the identified confounders. All participants were of Hispanic ethnicity, residents of the San José Greater Metropolitan Area, adults and 69% of them were women. Affected individuals had major depression, bipolar affective disorder, psychosis non-otherwise specified or schizoaffective disorder. Based on beta-diversity analysis as a measure of the community-level microbiota variation, it was found that the use of levothyroxine (R2=0.08, p=0.005) and of irbesartan (R2=0.068 ,p=0.001) had a significant impact on the microbiota composition and hence the use of these drugs was included as confounder in further analyses. Several statistically significant differences in the relative abundance of intestinal bacteria were identified: Differences were found in the relative abundance of bacterial families Peptostreptococcaceae, Ruminococcaceae, Porphyromonadaceae, and in bacterial genera Pseudomonas, Barnesiella, Odoribacter, Paludibacter, Lactococcus, Clostridium, Acidaminococcus and Haemophilus. Our results indicate that affected individuals have more pro-inflammatory Proteobacteria (Pseudomonas) and less bacteria associated to healthy phenotype, such as Barnesiella and Ruminococcaceae, the former being dose-dependently depleted in AP and AA compared to UA. Furthermore, we documented decreased bacterial richness among affected participants while no significant differences were detected in alpha diversity. Our study identified significant differences in the microbiota of individuals affected by mental illness when comparing to their healthy siblings. The results may have important implications for the holistic understanding of mental health and its diagnosis and therapeutics. Larger studies to confirm these findings would be justified.
  • Riihilahti, Iita (2019)
    The present thesis reviews studies on the relationship between a childhood trauma and a psychosis, and psychological factors that may mediate this relationship. Recent studies have connected childhood traumas to the psychosis and to the risk for psychosis. The studies are correlational and some of them have explored psychological factors that may mediate relation between childhood trauma and psychosis. Among these, studies have explored attachment, dissociation, emotion regulation, and cognitive schema as potential mediators. The data was collected in October 2019 from the PsycInfo, Google Scholar and PubMed databases. Nine studies were selected for this review, with the emphasis on quality of methods and recent publication. Three of these studies focused on the attachment quality and one of them also on dissociation. Dissociation alone was focused on three studies. One study focused on emotion regulation and two studies on cognitive schemas but one of them included also dissociation. The studies supported a view that anxiety and fearful attachment styles, emotion regulation, negative self-schemas and dissociation functioned as mediators between childhood traumatic experiences and psychosis. Dissociation has particularly a strong role. It was repeated as a mediator in several studies, sometimes even when the comorbid symptoms were controlled for. However, the results should be interpreted critically. All the studies, except one, were cross-sectional precluding any causal conclusions. Further studies need to be done. Future research should include longitudinal studies and there should be paid more attention to research methods.
  • Kuvaja, Heidi-Maria (2019)
    Aim: Psychosis risk has been researched a lot during last couple of decades and different tools for predicting psychosis have been formed and taken in the clinical practice. About one third of those in clinical high risk for psychosis develop psychosis, but only in help-seeking population. There is ongoing research aiming to improve on the existing psychosis prediction tools and to develop new ones with better prognostic accuracy and greater generalizability to the more varied populations. It has been also argued that psychosis transition is not the most useful outcome to focus on and that functioning is more clinically relevant. However, lack of replication or external validation studies remains problem. The current study aimed to test the performance of the published psychosis prediction models in general psychiatric sample of adolescents. In addition to this, same prediction models were also used to predict functioning using psychiatric hospitalization as an proxy. Methods: The current study utilized Helsinki Prodromal Study cohort, an ongoing prospective psychosis risk study. The sample (N=146) consisted of adolescents aged 15-18 at baseline who had been starting as new patients in public psychiatric care. The psychosis prediction models tested in the current study were selected from recent exhaustive review. Final amount of prediction models was 16 from 13 published articles. Predictors included parts of Structured Interview for the Prodromal Syndromes (SIPS), cognitive functions, substance use, and functioning ability and outcome variables were psychosis diagnose and psychiatric hospitalization. Analyses methods were logistic regression and area under the receiver operator characteristics curve. The participants were followed 7 years or until they developed psychosis. Findings and conclusions: Performance of the models was not as good as in original studies, which was to be expected since the sample was more varied than in original studies. However, almost all of the models predicted both psychosis and hospitalization better than high psychosis risk assessed by the SIPS did. For psychosis predictors that would perform well regardless of the model couldn’t be found, but models including disorganized communication performed worst. For hospitalization, models including positive symptoms, functioning, and duration of (untreated) symptoms performed best. Accuracy of the models was not clearly connected to the models ability to explain variance. More research aiming to validate and replicate suggested psychosis prediction models is needed.