Diet quality and associations with lactate and metabolic syndrome in bipolar disorder.

BACKGROUND: Nutrition is largely affected in bipolar disorder (BD), however, there is a lack of understanding on the relationship between dietary categories, BD, and the prevalence of metabolic syndrome. The objective of this study is to examine dietary trends in BD and it is hypothesized that diets with increased consumption of seafood and high-fiber carbohydrates will be correlated to improved patient outcomes, and a lower frequency of metabolic syndrome. METHODS: This retrospective cohort study includes two French cohorts. The primary cohort, FACE-BD, includes 268 stable BD patients. The second cohort, I-GIVE, includes healthy controls, both stable and acute BD and schizophrenia patients. Four dietary categories were assessed: meat, seafood, low-fiber and high-fiber carbohydrates. Dietary data from two food frequency questionnaires were normalized using min-max scaling and assessed using various statistical analyses. RESULTS: In our primary cohort, the increased high-fiber carbohydrate consumption was correlated to lower prevalence of metabolic syndrome and improved mood. Low-fiber carbohydrate consumption is associated with higher BMI, while higher seafood consumption was correlated to improved mood and delayed age of onset. Results were not replicated in our secondary cohort. LIMITATIONS: Our populations were small and two different dietary questionnaires were used; thus, results were used to examine similarities in trends. CONCLUSIONS: Overall, various dietary trends were associated with metabolic syndrome, BMI, lactate, mood and age of onset. Improving our understanding of nutrition in BD can provide mechanistic insight, clinically relevant nutritional guidelines for precision medicine and ultimately improve the quality of lives for those with BD.

Key findings on bipolar disorders from the longitudinal FondaMental Advanced Center of Expertise-Bipolar Disorder (FACE-BD) cohort.

BACKGROUND: The FACE-BD cohort is an observational cohort of individuals with bipolar disorders (BD) who benefited from a systematic evaluation with evidence-based treatment recommendations and who were followed-up every year for 3 years in France. The objectives were to describe the lifetime course of BD, associated psychiatric and somatic comorbidities, and cognition profile. This cohort aims to identify clinical/biological signatures of outcomes, trajectories of functioning and transition between clinical stages. This article summarizes 10 years of findings of the FACE-BD cohort. METHOD & RESULTS: We included 4422 individuals, all having a baseline assessment, among which 61.2% had at least one follow-up visit at either one, two or three years. A subsample of 1200 individuals had at least one biological sample (serum, plasma, DNA). Assessments include family history of psychiatric disorders, psychiatric diagnosis, current mood symptoms, functioning, hospitalizations, suicidal attempts, physical health, routine blood tests, treatment history, psychological dimensions, medico-economic data and a cognitive assessment. Studies from this cohort illustrate that individuals with BD display multiple coexistent psychiatric associated conditions including sleep disturbances, anxiety disorders, substance use disorders and suicide attempts as well as a high prevalence of metabolic syndrome. During follow-up, we observed a 55% reduction of the number of days of hospitalization and a significant improvement in functioning. CONCLUSIONS: The FACE-BD cohort provides a strong research infrastructure for clinical research in BD and has a unique position among international cohorts because of its comprehensive clinical assessment and sustainable funding from the French Ministry of Health.

Differential effects of childhood trauma and cannabis use disorders in patients suffering from schizophrenia.

BACKGROUND: Childhood trauma (CT) and cannabis use are both environmental and modifier risk factors for schizophrenia. However, little is known about how they interact in schizophrenia. We examined the main effect of each of these two environmental factors on the clinical expression of the disease using a large set of variables, and we tested whether and how cannabis and CT interact to influence the course and the presentation of the illness. METHODS: A sample of 366 patients who met the DSM-IV-TR criteria for schizophrenia was recruited through the FACE-SCZ (Fondamental Advanced Centre of Expertise - Schizophrenia) network. Patients completed a large standardized clinical evaluation including Structured Clinical Interview for DSM Disorders-I (SCID-I), Positive and Negative Symptoms Scale (PANSS), Columbia-Suicide Severity Rating Scale (C-SSRS), Global Assessment of Functioning (GAF), Short-Quality of Life-18 (S-QoL-18), and Medication Adherence Rating Scale (MARS). We assessed CT with the Childhood Trauma Questionnaire and cannabis status with SCID-I. RESULTS: CT significantly predicted the number of hospitalizations, GAF, and S-QoL-18 scores, as well as the PANSS total, positive, excitement, and emotional distress scores. Cannabis use disorders significantly predicted age of onset, and MARS. There was no significant interaction between CT and cannabis use disorders. However, we found evidence of a correlation between these two risk factors. CONCLUSIONS: CT and cannabis both have differential deleterious effects on clinical and functional outcomes in patients with schizophrenia. Our results highlight the need to systematically assess the presence of these risk factors and adopt suitable therapeutic interventions.

Medication and aggressiveness in real-world schizophrenia. Results from the FACE-SZ dataset.

INTRODUCTION: The primary objective of this study was to determine if second-generation antipsychotic (SGA) administration was associated with lower aggressiveness scores compared to first-generation (FGA) in schizophrenia (SZ). The secondary objective was to determine if antidepressants, mood stabilizers, and benzodiazepines administration were respectively associated with lower aggressiveness scores compared to patients who were not administered these medications. METHODS: Three hundred thirty-one patients with schizophrenia (N = 255) or schizoaffective disorder (N = 76) (mean age = 32.5 years, 75.5 % male gender) were systematically included in the network of FondaMental Expert Center for Schizophrenia and assessed with the structured clinical interview for DSM-IV Axis I disorders and validated scales for psychotic symptomatology, insight, and compliance. Aggressiveness was measured by the Buss-Perry Aggression Questionnaire (BPAQ) score. Ongoing psychotropic treatment was recorded. RESULTS: Patients who received SGA had lower BPAQ scores than patients who did not (p = 0.01). More specifically, these patients had lower physical and verbal aggression scores. On the contrary, patients who received benzodiazepines had higher BPAQ scores than patients who did not (p = 0.04). No significant difference was found between BPAQ scores of patients respectively being administered mood stabilizers (including valproate), antidepressant, and the patients who were not. These results were found independently of socio-demographical variables, psychotic symptomatology, insight, compliance into treatment, daily-administered antipsychotic dose, the way of antipsychotic administration (oral vs long acting), current alcohol disorder, and daily cannabis consumption. CONCLUSION: The results of the present study are in favor of the choice of SGA in SZ patients with aggressiveness, but these results need further investigation in longitudinal studies. Given the potent side effects of benzodiazepines (especially dependency and cognitive impairment) and the results of the present study, their long-term prescription is not recommended in patients with schizophrenia and aggressive behavior.

The serotonin-N-acetylserotonin-melatonin pathway as a biomarker for autism spectrum disorders.

Elevated whole-blood serotonin and decreased plasma melatonin (a circadian synchronizer hormone that derives from serotonin) have been reported independently in patients with autism spectrum disorders (ASDs). Here, we explored, in parallel, serotonin, melatonin and the intermediate N-acetylserotonin (NAS) in a large cohort of patients with ASD and their relatives. We then investigated the clinical correlates of these biochemical parameters. Whole-blood serotonin, platelet NAS and plasma melatonin were assessed in 278 patients with ASD, their 506 first-degree relatives (129 unaffected siblings, 199 mothers and 178 fathers) and 416 sex- and age-matched controls. We confirmed the previously reported hyperserotonemia in ASD (40% (35-46%) of patients), as well as the deficit in melatonin (51% (45-57%)), taking as a threshold the 95th or 5th percentile of the control group, respectively. In addition, this study reveals an increase of NAS (47% (41-54%) of patients) in platelets, pointing to a disruption of the serotonin-NAS-melatonin pathway in ASD. Biochemical impairments were also observed in the first-degree relatives of patients. A score combining impairments of serotonin, NAS and melatonin distinguished between patients and controls with a sensitivity of 80% and a specificity of 85%. In patients the melatonin deficit was only significantly associated with insomnia. Impairments of melatonin synthesis in ASD may be linked with decreased 14-3-3 proteins. Although ASDs are highly heterogeneous, disruption of the serotonin-NAS-melatonin pathway is a very frequent trait in patients and may represent a useful biomarker for a large subgroup of individuals with ASD.