22 resultados para disorder effect


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Little is known of the relations between psychosis, religion and suicide. One hundred and fifteen outpatients with schizophrenia or schizo-affective disorder and 30 inpatients without psychotic symptoms were studied using a semi-structured interview assessing religiousness/spirituality. Their past suicide attempts were examined. Additionally, they were asked about the role (protective or incentive) of religion in their decision to commit suicide. Forty-three percent of the patients with psychosis had previously attempted suicide. Religiousness was not associated with the rate of patients who attempted suicide. Twenty-five percent of all subjects acknowledged a protective role of religion, mostly through ethical condemnation of suicide and religious coping. One out of ten patients reported an incentive role of religion, not only due to negatively connotated issues but also to the hope for something better after death. There were no differences between groups (i.e. psychotic vs. non-psychotic patients). Religion may play a specific role in the decisions patients make about suicide, both in psychotic and non-psychotic patients. This role may be protective, a finding particularly important for patients with psychosis who are known to be at high risk of severe suicide attempts. Interventions aiming to lower the number of suicide attempts in patients with schizophrenia should take these data into account.

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OBJECTIVE: This study aims to differentiate schizoaffective disorder (SAD) and bipolar-I-disorder (BD) in first-episode psychotic mania (FEPM). METHODS: All 134 patients from an epidemiological first-episode psychosis cohort (N=786) with FEPM and an 18-month follow-up final diagnosis of SAD (n=36) or BD (n=98) were assessed with respect to pre-treatment, baseline and outcome differences. Second, patients with baseline BD who shifted (shifted BD) or did not shift to SAD (stable BD) over the follow-up period were compared regarding pre-treatment and baseline differences. RESULTS: SAD patients displayed a significantly longer duration of untreated psychosis (DUP; effect size r=0.35), a higher illness-severity at baseline (r=0.20) and more traumatic events (Cramer-V=0.19). SAD patients displayed a significantly higher non-adherence rate (Cramer-V=0.19); controlling for time in treatment and respective baseline scores, SAD patients had significantly worse illness severity (CGI-S; partial η(2)=0.12) and psychosocial functioning (GAF; partial η(2)=0.07) at 18-months, while BD patients were more likely to achieve remission of positive symptoms (OR=4.9, 95% CI=1.8-13.3; p=0.002) and to be employed/occupied (OR=7.7, 95% CI=2.4-24.4, p=0.001). The main discriminator of stable and shifted BD was a longer DUP in patients shifting from BD to SAD. CONCLUSIONS: It is difficult to distinguish BD with psychotic symptoms and SAD in patients presenting with FEPM. Longer DUP is related to SAD and to a shift from BD to SAD. Compared to BD, SAD had worse outcomes and higher rates of non-adherence with medication. Despite these differences, both diagnostic groups need careful dimensional assessment and monitoring of symptoms and functioning in order to choose the right treatment.

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Subjective response to neuroleptics is essential to long term observance of treatment and quality of life of patients. Numerous factors (pharmacological, relational and psychopathological) are responsible of this subjective response. Objectives of this study are: (a) to examine psychometric features of the french version of the Drug Attitude Inventory (DAI-30) [13] and (b) to explore pharmacological, relational and psychopathological factors related to this subjective response. Subjects and methods: 78 subjects were rated (self rated response rate 61% (n = 48)) for (a) subjective response to neuroleptics, (b) compliance, (c) therapeutic alliance, (d) symptoms (e) severity of disorder. RESULTS: Factor analysis yielded 2 main clinically relevant factors, similar to the original version: (I) global subjective response and (II) specific subjective response. Internal consistency is high. Correspondance analysis showed two important dimensions in the treatment of schizophrenic patients: (I) Recovery--aggravation, (II) Therapeutic ambition--positive or negative symptoms. CONCLUSION: French version of DAI-30 seems to have a similar structure and psychometric features as the original version. It shows concordance with the degree of compliance. Pharmacological factors are not the only factors implicated in subjective response, but are still to be identified. Limitations of our study are: (a) nonhomogenous indication for treatment, (b) small rate and degree of non compliance in our sample. Relationships between therapeutic ambition, type of symptoms and treatment outcome should be further studied.

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It has been shown that for the reaction catalyzed by "biodegradative" L-threonine dehydratase from E. coli strains K-12 and 980 in 0.5 M phosphate-carbonate buffer, pH 8.4 and pH 9.5, the plots of initial reaction rate (v) versus the initial substrate concentration ([S]0 are characterized by several inflection points, i. e. an intermediate plateau. The plot of v versus the allosteric activator (AMP) concentration have very complicated shapes: there are several inflection points, and also the maximum at L-threonine concentration equal to 3-10(2) and 5-10(-2) M. High AMP concentrations inhibit the enzyme at high substrate concentrations. The reduced glutathion dose not influence the enzyme and does not alter the activating effect of AMP. On the basis of the data obtained it is proposed that the substrate and AMP shift the equilibrium between multiple oligomeric enzyme forms differing in catalytic activity and kinetic manifestations of allosteric interactions between the active and allosteric AMP-binding sites towards polymerization. Thus, the functioning the enzyme under study is discussed in the frames of the model of dissociating regulatory enzymes with multiple intermediate oligomeric forms.

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BACKGROUND: Obesity is strongly associated with major depressive disorder (MDD) and various other diseases. Genome-wide association studies have identified multiple risk loci robustly associated with body mass index (BMI). In this study, we aimed to investigate whether a genetic risk score (GRS) combining multiple BMI risk loci might have utility in prediction of obesity in patients with MDD. METHODS: Linear and logistic regression models were conducted to predict BMI and obesity, respectively, in three independent large case-control studies of major depression (Radiant, GSK-Munich, PsyCoLaus). The analyses were first performed in the whole sample and then separately in depressed cases and controls. An unweighted GRS was calculated by summation of the number of risk alleles. A weighted GRS was calculated as the sum of risk alleles at each locus multiplied by their effect sizes. Receiver operating characteristic (ROC) analysis was used to compare the discriminatory ability of predictors of obesity. RESULTS: In the discovery phase, a total of 2,521 participants (1,895 depressed patients and 626 controls) were included from the Radiant study. Both unweighted and weighted GRS were highly associated with BMI (P <0.001) but explained only a modest amount of variance. Adding 'traditional' risk factors to GRS significantly improved the predictive ability with the area under the curve (AUC) in the ROC analysis, increasing from 0.58 to 0.66 (95% CI, 0.62-0.68; χ(2) = 27.68; P <0.0001). Although there was no formal evidence of interaction between depression status and GRS, there was further improvement in AUC in the ROC analysis when depression status was added to the model (AUC = 0.71; 95% CI, 0.68-0.73; χ(2) = 28.64; P <0.0001). We further found that the GRS accounted for more variance of BMI in depressed patients than in healthy controls. Again, GRS discriminated obesity better in depressed patients compared to healthy controls. We later replicated these analyses in two independent samples (GSK-Munich and PsyCoLaus) and found similar results. CONCLUSIONS: A GRS proved to be a highly significant predictor of obesity in people with MDD but accounted for only modest amount of variance. Nevertheless, as more risk loci are identified, combining a GRS approach with information on non-genetic risk factors could become a useful strategy in identifying MDD patients at higher risk of developing obesity.

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14-3-3 is a family of conserved regulatory proteins that bind to a multitude of functionally diverse signalling proteins. Various genetic studies and gene expression and proteomic analyses have involved 14-3-3 proteins in schizophrenia (SZ). On the other hand, studies about the status of these proteins in major depressive disorder (MD) are still missing. Immunoreactivity values of cytosolic 14-3-3β and 14-3-3ζ proteins were evaluated by Western blot in prefrontal cortex (PFC) of subjects with schizophrenia (SZ; n=22), subjects with major depressive disorder (MD; n=21) and age-, gender- and postmortem delay-matched control subjects (n=52). The modulation of 14-3-3β and 14-3-3ζ proteins by psychotropic medication was also assessed. The analysis of both proteins in SZ subjects with respect to matched control subjects showed increased 14-3-3β (Δ=33±10%, p<0.05) and 14-3-3ζ (Δ=29±6%, p<0.05) immunoreactivity in antipsychotic-free but not in antipsychotic-treated SZ subjects. Immunoreactivity values of 14-3-3β and 14-3-3ζ were not altered in MD subjects. These results show the specific up-regulation of 14-3-3β and 14-3-3ζ proteins in PFC of SZ subjects and suggest a possible down-regulation of both proteins by antipsychotic treatment.

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IMPORTANCE: The 16p11.2 BP4-BP5 duplication is the copy number variant most frequently associated with autism spectrum disorder (ASD), schizophrenia, and comorbidities such as decreased body mass index (BMI). OBJECTIVES: To characterize the effects of the 16p11.2 duplication on cognitive, behavioral, medical, and anthropometric traits and to understand the specificity of these effects by systematically comparing results in duplication carriers and reciprocal deletion carriers, who are also at risk for ASD. DESIGN, SETTING, AND PARTICIPANTS: This international cohort study of 1006 study participants compared 270 duplication carriers with their 102 intrafamilial control individuals, 390 reciprocal deletion carriers, and 244 deletion controls from European and North American cohorts. Data were collected from August 1, 2010, to May 31, 2015 and analyzed from January 1 to August 14, 2015. Linear mixed models were used to estimate the effect of the duplication and deletion on clinical traits by comparison with noncarrier relatives. MAIN OUTCOMES AND MEASURES: Findings on the Full-Scale IQ (FSIQ), Nonverbal IQ, and Verbal IQ; the presence of ASD or other DSM-IV diagnoses; BMI; head circumference; and medical data. RESULTS: Among the 1006 study participants, the duplication was associated with a mean FSIQ score that was lower by 26.3 points between proband carriers and noncarrier relatives and a lower mean FSIQ score (16.2-11.4 points) in nonproband carriers. The mean overall effect of the deletion was similar (-22.1 points; P < .001). However, broad variation in FSIQ was found, with a 19.4- and 2.0-fold increase in the proportion of FSIQ scores that were very low (≤40) and higher than the mean (>100) compared with the deletion group (P < .001). Parental FSIQ predicted part of this variation (approximately 36.0% in hereditary probands). Although the frequency of ASD was similar in deletion and duplication proband carriers (16.0% and 20.0%, respectively), the FSIQ was significantly lower (by 26.3 points) in the duplication probands with ASD. There also were lower head circumference and BMI measurements among duplication carriers, which is consistent with the findings of previous studies. CONCLUSIONS AND RELEVANCE: The mean effect of the duplication on cognition is similar to that of the reciprocal deletion, but the variance in the duplication is significantly higher, with severe and mild subgroups not observed with the deletion. These results suggest that additional genetic and familial factors contribute to this variability. Additional studies will be necessary to characterize the predictors of cognitive deficits.