Publications by authors named "Franziska Gamma"

Article Synopsis
  • Early worsening of plasma lipid levels (EWL), defined as a ≥5% change after one month, is linked to long-term lipid issues in patients treated with certain psychotropic medications.
  • This study identified that low initial levels of total cholesterol, LDL-C, and triglycerides, along with high HDL-C levels, are significant risk factors for EWL, and integrating specific genetic variations (SNPs) can enhance prediction accuracy.
  • Overall, clinical and genetic factors are important for predicting EWL and developing new-onset dyslipidaemia, suggesting the need for larger studies to improve these predictive models for clinical use.
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Weight-inducing psychotropic treatments are risk factors for age-related diseases such as cardiovascular disorders, which are associated with both inflammation and telomere length shortening. With a longitudinal design, the present study evaluates telomere length trajectories after 1 year of weight-inducing psychotropic medication, accounting for weight changes and the inflammatory biomarker high-sensitivity C-Reactive Protein (CRP). Among 200 patients, an overall median telomere shortening of -41.

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Objective: Weight gain, blood lipids and/or glucose dysregulation can follow aripiprazole treatment onset. Whether aripiprazole dosage is associated with an increase in these metabolic parameters remains uncertain. The present study investigates aripiprazole dose associations with weight change, blood glucose, lipids, and blood pressure.

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Background: Therapeutic drug monitoring (TDM) is strongly recommended for olanzapine due to its high pharmacokinetic variability. This study aimed to investigate the impact of various clinical factors on olanzapine plasma concentrations in patients with psychiatric disorders.

Methods: The study used TDM data from the PsyMetab cohort, including 547 daily dose-normalized, steady-state, olanzapine plasma concentrations (C:D ratios) from 248 patients.

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Bipolar disorder (BD) is a leading cause of disability worldwide, as it can lead to cognitive and functional impairment and premature mortality. The first episode of BD is usually a depressive episode and is often misdiagnosed as major depressive disorder (MDD). Growing evidence indicates that peripheral immune activation and inflammation are involved in the pathophysiology of BD and MDD.

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The aim of this study was to evaluate valproate dose association with weight change, blood glucose, lipid levels, and blood pressure in a psychiatric population. Data from 215 patients taking valproate for up to 1 year were collected from 2 longitudinal studies that monitored metabolic variables between 2007 and 2022. Linear mixed-effect models and logistic regressions were used to analyze the associations between valproate doses and metabolic outcomes.

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Article Synopsis
  • Antipsychotic response varies among individuals due to genetic and non-genetic factors, with specific SNPs linked to treatment response identified through genome-wide association studies (GWAS).
  • A study involving 460 patients with different mental health diagnoses found that a polygenic risk score (PRS) based on SNPs associated with antipsychotic response was significantly correlated with treatment outcomes, especially in patients with schizophrenia or bipolar disorder.
  • Although the PRS shows a meaningful association with treatment response, its poor sensitivity and specificity suggest it cannot yet be used as a reliable predictive tool in clinical settings.
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Patients suffering from mental disorders are at high risk of developing cardiovascular diseases, leading to a reduction in life expectancy. Genetic variants can display greater influence on cardiometabolic features in psychiatric cohorts compared to the general population. The difference is possibly due to an intricate interaction between the mental disorder or the medications used to treat it and metabolic regulations.

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Background: Several psychotropic drugs can induce weight gain and metabolic alterations. The authors compared metabolic evolutions of patients switching versus continuing psychotropic treatments with different risk profiles.

Methods: Patients either switched from a high- to a medium- (N = 36) or low-risk drug (N = 27), from a medium- to a low-risk drug (N = 71), or to a same-risk drug (N = 61).

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Article Synopsis
  • Cardiometabolic dysfunction is prevalent among young individuals with psychosis, and the PsyMetRiC tool was developed to predict metabolic syndrome risk using various personal health data.
  • Researchers validated PsyMetRiC in two European samples, showing that its full model (which includes biochemical data) performed better than the partial model in predicting risk.
  • The results indicate that PsyMetRiC is a promising tool for helping clinicians identify at-risk young patients, but further studies are needed for broader validation.
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Study Objectives: Insomnia disorders as well as cardiometabolic disorders are highly prevalent in the psychiatric population compared to the general population. We aimed to investigate their association and evolution over time in a Swiss psychiatric cohort.

Methods: Data for 2861 patients (8954 observations) were obtained from two prospective cohorts (PsyMetab and PsyClin) with metabolic parameters monitored routinely during psychotropic treatment.

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Atypical antipsychotics can induce metabolic side effects, but whether they are dose-dependent remains unclear. To assess the effect of risperidone and/or paliperidone dosing on weight gain and blood lipids, glucose, and blood pressure alterations. Data for 438 patients taking risperidone and/or its metabolite (paliperidone) for up to 1 year were obtained between 2007 and 2018 from a longitudinal study monitoring metabolic parameters.

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Metabolic abnormalities have been associated with olanzapine treatment. We assessed if olanzapine has dose-dependent effects on metabolic parameters with changes for weight, blood pressure, lipid and glucose profiles being modelled using linear mixed-effects models. The risk of metabolic abnormalities including early weight gain (EWG) (≥5% during first month) was assessed using mixed-effects logistic regression models.

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Article Synopsis
  • This study investigated how plasma levels of caffeine and its metabolites relate to sleep disorders in psychiatric patients, using advanced analytical methods to quantify these substances.
  • The research included 1,747 observations and found that patients with the highest levels of methylxanthines had over double the risk of sleep disorders compared to those with the lowest levels.
  • While caffeine consumption was linked to higher plasma methylxanthine levels, it did not show a direct association with sleep disorders, indicating a need for further studies on caffeine reduction's potential benefits for patients experiencing sleep issues.
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Introduction: The atypical antipsychotic quetiapine is known to induce weight gain and other metabolic complications. The underlying mechanisms are multifactorial and poorly understood with almost no information on the effect of dosage. Concerns were thus raised with the rise in low-dose quetiapine off-label prescription (i.

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Few studies have evaluated the influence of valproate on the deterioration of the lipid profile in psychiatric patients. This observational study aimed to compare the evolution of metabolic parameters in a sample of adult patients starting valproate (n = 39) with a control group (n = 39) of patients starting aripiprazole, a drug associated with a low risk of metabolic deterioration. Data were obtained from a prospective study including psychiatric patients with metabolic parameters monitored during the first year of treatment.

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Background: Psychiatric patients are known to be at high risk of developing cardiovascular diseases (CVDs), leading to an increased mortality rate.

Objective: To assess the CVD risk (presence of metabolic syndrome [MetS] and calculated 10-year CVD risk) in a Swiss psychiatric cohort taking weight gain-inducing psychotropic drugs, compare the findings to a Swiss population-based cohort, and evaluate the prevalence of participants treated for metabolic disruptions in both cohorts.

Methods: Data for 1,216 psychiatric patients (of whom 634 were aged 35-75 years) were obtained between 2007 and 2017 from a study with metabolic parameters monitored during psychotropic treatment and between 2003 and 2006 for 6,733 participants from the population-based CoLaus|PsyCoLaus study.

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Genetic factors associated with Body Mass Index (BMI) have been widely studied over the last decade. We examined whether genetic variants previously associated with BMI in the general population are associated with cardiometabolic parameter worsening in the psychiatric population receiving psychotropic drugs, a high-risk group for metabolic disturbances. Classification And Regression Trees (CARTs) were used as a tool capable of describing hierarchical associations, to pinpoint genetic variants best predicting worsening of cardiometabolic parameters (i.

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Tramadol is widely prescribed for treating acute and chronic forms of pain. It is a weak mu-receptor opioid agonist and also increases concentrations of serotonin and noradrenaline within the limbic system of the brain. The therapeutic range of tramadol is relatively wide.

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Identifying early developmental indicators of risk for schizophrenia is important for prediction and possibly illness prevention. Disturbed intermodality has been proposed as one important neurodevelopmental risk for schizophrenia. Early intermodal integration (EII) is the infant's ability to link motility and perception and to relate perception across modalities.

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Diagnostic information on children is typically elicited from both children and their parents. The aims of the present paper were to: (1) compare prevalence estimates according to maternal reports, paternal reports and direct interviews of children [major depressive disorder (MDD), anxiety and attention-deficit and disruptive behavioural disorders]; (2) assess mother-child, father-child and inter-parental agreement for these disorders; (3) determine the association between several child, parent and familial characteristics and the degree of diagnostic agreement or the likelihood of parental reporting; (4) determine the predictive validity of diagnostic information provided by parents and children. Analyses were based on 235 mother-offspring, 189 father-offspring and 128 mother-father pairs.

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Background: Using family study data, the following questions regarding the mechanisms of association between personality traits and mood disorders were addressed: 1) Is there an association between unipolar and bipolar mood disorders and personality traits in probands? 2) Are personality traits associated with depression in their 9 to 17 year-old children? 3) Is there an association between parental mood disorders and personality traits in offspring? 4) Are parental personality traits associated with the risk of depression in offspring?

Methods: The study included 50 probands with bipolar and 37 with unipolar mood disorder, 34 healthy controls as well as 178 of their children between 9 and 17 years. Diagnoses were made according to a best-estimate procedure based on a semi-structured interview (DIGS), medical records and family history information. Personality traits were assessed using the Eysenck Personality Questionnaire in adults and the Eysenck Personality Questionnaire Junior in offspring.

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Schizophrenia is a biologic disorder whose etiology involves a combination of genetic and environmental risk factors. In this review, the authors update the conceptual basis of schizotaxia, consider evidence for its validity, and look toward its likely evolution in the future.

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Efforts are being made by clinicians and researchers to accurately delineate phenotypic traits of individuals at enhanced risk of schizophrenia. This issue is important for a better understanding of the etiopathogenic mechanisms of the disease and for the building up of programs of primary prevention. We suggest that disturbances of subjective experience, although difficult to operationalize, are an important-but until now neglected-core component of schizophrenia spectrum disorders.

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