From periphery immunity to central domain through clinical interview as a new insight on schizophrenia.

Identifying disease predictors through advanced statistical models enables the discovery of treatment targets for schizophrenia. In this study, a multifaceted clinical and laboratory analysis was conducted, incorporating magnetic resonance spectroscopy with immunology markers, psychiatric scores, and biochemical data, on a cohort of 45 patients diagnosed with schizophrenia and 51 healthy controls. The aim was to delineate predictive markers for diagnosing schizophrenia. A logistic regression model was used, as utilized to analyze the impact of multivariate variables on the prevalence of schizophrenia. Utilization of a stepwise algorithm yielded a final model, optimized using Akaike's information criterion and a logit link function, which incorporated eight predictors (White Blood Cells, Reactive Lymphocytes, Red Blood Cells, Glucose, Insulin, Beck Depression score, Brain Taurine, Creatine and Phosphocreatine concentration). No single factor can reliably differentiate between healthy patients and those with schizophrenia. Therefore, it is valuable to simultaneously consider the values of multiple factors and classify patients using a multivariate model.

Association of Blood Metabolomics Biomarkers with Brain Metabolites and Patient-Reported Outcomes as a New Approach in Individualized Diagnosis of Schizophrenia.

Given its polygenic nature, there is a need for a personalized approach to schizophrenia. The aim of the study was to select laboratory biomarkers from blood, brain imaging, and clinical assessment, with an emphasis on patients' self-report questionnaires. Metabolomics studies of serum samples from 51 patients and 45 healthy volunteers, based on the liquid chromatography-electrospray ionization-mass spectrometry (LC-ESI-MS/MS), led to the identification of 3 biochemical indicators (cortisol, glutamate, lactate) of schizophrenia. These metabolites were sequentially correlated with laboratory tests results, imaging results, and clinical assessment outcomes, including patient self-report outcomes. The hierarchical cluster analysis on the principal components (HCPC) was performed to identify the most homogeneous clinical groups. Significant correlations were noted between blood lactates and 11 clinical and 10 neuroimaging parameters. The increase in lactate and cortisol were significantly associated with a decrease in immunological parameters, especially with the level of reactive lymphocytes. The strongest correlations with the level of blood lactate and cortisol were demonstrated by brain glutamate, N-acetylaspartate and the concentrations of glutamate and glutamine, creatine and phosphocreatine in the prefrontal cortex. Metabolomics studies and the search for associations with brain parameters and self-reported outcomes may provide new diagnostic evidence to specific schizophrenia phenotypes.

Benefits and Meaning of Lipids Profile in Relation to Oxidative Balance and Brain Morphology in Schizophrenia.

Schizophrenia is characterized by complex metabolic dysregulations and their consequences. Until now, numerous theories have explained its pathogenesis, using a spectrum of available technologies. We focused our interest on lipid profile-periphery high-density cholesterol level and lipoproteins in the human brain and compared magnetic resonance imaging (MRI) scans of patients with schizophrenia and the healthy group. Detailed analysis of biochemical parameters was performed using magnetic resonance spectroscopy. Our study aimed to reveal correlations between periphery high-density lipoproteins levels and lipoproteins in the brain, depicted in MRI scans, and parameters of peripheral oxidative stress expressed as paraoxonase. Patients with schizophrenia have decreased levels of high-density lipoproteins, low paraoxonase activity, and slightly raised sodium in the blood. Positive significant correlations between serum high-density cholesterol and anterior cingulate cortex, unique brain area for schizophrenia pathophysiology, MR spectroscopy signals, and diffusion have been revealed. To our knowledge, this is the first study to describe the effect of an anterior cingulate disorder on high-density cholesterol levels on the development of schizophrenia.

Risk factors for weight gain in patients with first-episode psychosis. / Czynniki ryzyka przyrostu masy ciala u pacjentów z pierwszym epizodem psychozy.

OBJECTIVES: Assessment of the association between weight gain in patients with first-episode psychosis (FEP) and biopsychosocial and sociological factors. METHODS: 25 subjects with FEP aged 14-35 examined in week 1 (P1) and after three months of hospitalization (P3) were enrolled in the study. Within 3 months all patients were diagnosed with schizophrenia. The study used: a socio-demographic survey, Positive and Negative Syndrome Scale (PANSS), State-Trait Anxiety Inventory (STAI), Coping Inventory for Stressful Situations (CISS), Questionnaire Eating Behaviors (QEB), and routine biochemical test findings. For some variables, the differences (variable_D) between the values at P1 and P3 were calculated. RESULTS: Statistically significant correlations were shown between body weight_P1, _P3, _D, and healthy diet index_P1, _P3, severity of psychotic symptoms measured by the PANSS_P1 and _D, the CISS focused on emotions and task_P1, _P3 and _D, mother's body weight in youth and now, father's body weight in youth and now, and the number of the patient's siblings. In the linear regression analysis, body weight_P1 and the CISS focused on emotions_P1 turned out to be significant predictors of body weight_P3. CONCLUSIONS: Multifactorial influence of weight gain in FEP in schizophrenia was observed. Countermeasures against weight gain should refer not only to the diet, but also to the way the eating habits are related to psychopathology associated with psychosis and to the emotional functioning of the patient.

The Association of the Oral Microbiota with the Effects of Acid Stress Induced by an Increase of Brain Lactate in Schizophrenia Patients.

The altered cerebral energy metabolism central to schizophrenia can be linked to lactate accumulation. Lactic acid is produced by gastrointestinal bacteria, among others, and readily crosses the blood-brain barrier, leading to the brain acidity. This study aimed to examine the association of the oral microbiota with the effects of acid stress induced by an increase of brain lactate in schizophrenia patients. The study included patients with a diagnosis of acute polyphasic psychotic disorder meeting criteria for schizophrenia at 3-month follow-up. Results: Individuals with a significantly higher total score on the Positive and Negative Syndrome Scale had statistically significantly lower lactate concentrations compared to those with a lower total score and higher brain lactate. We observed a positive correlation between Actinomyces and lactate levels in the anterior cingulate cap and a negative correlation between bacteria associated with lactate metabolism and some clinical assessment scales. Conclusions: Shifts in the oral microbiota in favour of lactate-utilising bacterial genera may represent a compensatory mechanism in response to increased lactate production in the brain. Assessment of neuronal function mediated by ALA-LAC-dependent NMDA regulatory mechanisms may, thus, support new therapies for schizophrenia, for which acidosis has become a differentiating feature of individuals with schizophrenia endophenotypes.

Bipolar spectrum in prostate cancer patients and its role in stress related symptoms.

BACKGROUND: Studies show significant co-occurrence of bipolar disorder and prostate cancer, as well as the presence of shared genes associated with both diseases. Our aim was to evaluate whether prostate cancer patients present bipolar spectrum symptoms and to establish their possible associations with stress related symptoms during diagnosis and the course of the cancer therapy. METHODS: 200 participants were enrolled to this study: 100 prostate cancer patients and 100 healthy males. Bipolar spectrum symptoms were measured with the use of Mood Disorder Questionnaire and Hypomania Checklist-32 (HCL-32). Stress related symptoms were rated with The Impact of Events Scale-Revised (IES-R), Perceived Stress Scale-10 (PSS-10) and Generalised Self-Efficacy Scale (GSES). RESULTS: In comparison to healthy controls group, prostate cancer patients have shown higher HCL-32 scores. Mood Disorder Questionnaire measures were associated with more severe stress related to prostate cancer diagnosis and treatment reflected by higher scores of IES-R and its subscales (Avoidance, Intrusions and Hyperarousal). Mood Disorder Questionnaire, HCL-32, PSS-10, IES-R and GSES measures were not associated with clinical characteristics of prostate cancer severity. LIMITATIONS: Cross-sectional study model precluded identification of causal relationship among variables. Bipolar spectrum symptoms and stress related measures were based on auto-questionnaires. CONCLUSIONS: To our best knowledge, this is the first study evaluating bipolar spectrum symptoms in prostate cancer patients. We have shown that this clinical group presents increased bipolarity traits compared to healthy individuals. Moreover, bipolar spectrum symptoms were associated with more severe stress related to the prostate cancer diagnosis and its treatment, reflected in avoidance, hyperarousal, and intrusions.

Redefining the Cut-Off Ranges for TSH Based on the Clinical Picture, Results of Neuroimaging and Laboratory Tests in Unsupervised Cluster Analysis as Individualized Diagnosis of Early Schizophrenia.

Thyroid abnormalities, including mild forms of hypothyroidism and hyperthyroidism, are reported as risk factors for the development of a number of neuropsychiatric disorders, including schizophrenia. The diagnostic process still takes into account the extreme ranges of the accepted reference values for serum TSH since the concentration of free thyroxine in the serum does not change by definition. TSH mU/L cut-off values in psychiatric patients are currently clinically considered in the case of extremely high serum TSH levels (>4.0 mU/L). The results obtained in this study suggest that the clinically significant value has a lower TSH cut-off point with an upper limit of 2-2.5 mU/L. The criteria for the differential diagnosis of patients with schizophrenia, however, mainly take into account statutory reference ranges without a background related to the history of thyroid diseases in the family. The results indicate the need to lower the upper cut-off values for TSH among patients with early psychosis, which is related to the potential clinical significance of the obtained values both in the field of clinical evaluation and neuroimaging and laboratory evaluation parameters. The cut-off points obtained with the prior available knowledge coincided with the values established in the unsupervised clustering method, which further confirms the legitimacy of their use in the individualized diagnosis strategy of schizophrenia.

Graph Analysis of Verbal Fluency Tests in Schizophrenia and Bipolar Disorder.

Verbal Fluency Tests (VFT) are one of the most common neuropsychological tasks used in bipolar disorder (BD) and schizophrenia (SZ) research. Recently, a new VFT analysis method based on graph theory was developed. Interpreting spoken words as nodes and every temporal connection between consecutive words as edges, researchers created graph structures, allowing the extraction of more data from participants' speech, called Speech Graph Attributes (SGA). The aim of our study was to compare speech graphs, derived from Phonemic and Semantic VFT, between SZ, BD, and healthy controls (HC). Twenty-nine SZ patients, twenty-nine BD patients, and twenty-nine HC performed Semantic and Phonemic VFT. Standard measures (SM) and 13 SGA were analyzed. SZ patients' Semantic VFT graphs showed lower total word count and correct responses. Their graphs presented less nodes and edges, higher density, smaller diameter, average shortest path (ASP), and largest strongly connected component than the HC group. SM did not differentiate BD and HC groups, and patients' Semantic VFT graphs presented smaller diameter and ASP than HC. None of the parameters differentiated BD and SZ patients. Our results encourage the use of speech graph analysis, as it reveals verbal fluency alterations that remained unnoticed in the routine comparisons of groups with the use SM.

Impulsiveness and cyclothymic traits of affective temperament as predictors of risky gambling behavior. / Impulsywnosc i cechy cyklotymiczne temperamentu afektywnego jako predyktory ryzykownych zachowan hazardowych.

OBJECTIVES: To investigate bipolar traits and impulsiveness in pathological gamblers, compared to non-pathological gamblers and non-gambling general population. To investigate interaction between traits of affective temperament, impulsiveness and the severity of pathological gambling. METHODS: 139 participants (63 women, 76 men; mean age: 30.32; SD = 10.69) were included in the study. The Barratt Impulsiveness Scale was used to evaluate impulsiveness and the Temperament Evaluation of Memphis, Pisa and San Diego Autoquestionnaire was used to evaluate affective temperamental traits. The participants were also screened for bipolar affective disorder spectrum using the Mood Disorder Questionnaire and the Hypomania Checklist-32.The Canadian Problem Gambling Index (CPGI) was used to evaluate the severity of pathologicalgambling in the assessed population. Polish versions of the questionnaires were filled out anonymously via the internet. RESULTS: Pathological gamblers (N =36) scored higher on ?Motor impulsiveness', ?Cyclothymic'and ?Irritability'subscales versus non-pathological gamblers (N =61) and non-gamblers (N = 42). Cyclothymic and motor impulsiveness significantly predicted CPGI scores. Motor impulsiveness was found to moderate the influence of cyclothymic affective temperamental traits on pathological gambling. CONCLUSIONS: Our data support prior reports of higher impulsivity traits and traits from the bipolar spectrum among pathological gamblers. The results indicate that the influence of affective temperamental traits on pathological gambling severity is moderated by impulsiveness.