BACKGROUND Bipolar disorders are complex disorders involving the interaction of multiple factors. Affective temperaments, insomnia, and chronobiological rhythms desynchronization may all contribute to bipolar disorder. Since there is a paucity of research examining this topic we aimed to study how they are interrelated and collectively associated with clinical features of bipolar disorder. METHOD One-hundred patients with Bipolar Disorder type II depressive episode with and without mixed features were recruited and compared. Subjects were evaluated with SCID -5, the Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN), the Insomnia Severity Index (ISI), and the Temperament Evaluation of Memphis, Pisa, Paris, and San Diego Auto-questionnaire (TEMPS-A) while evaluating depressive (Beck Depression Inventory-BDI-II) and manic (Young Mania Rating Scale-YMRS) symptoms. Logistic regression and mediation analyses were conducted. RESULTS Subjects with mixed features showed a higher scores in both insomnia and chronobiological rhythms scores. When considering affective temperaments not only depressive, cyclothymic and irritable temperaments predicted mood symptoms but also insomnia (depressive symptoms O.R. 4.17, p = 0.043) and chronobiological sleep de-synchronization (manic symptoms O.R. 8.69, p = 0.001). Insomnia symptoms and chronobiological alterations mediated the association between affective temperaments and mood symptoms. LIMITATIONS the cross-sectional design limited any causal interpretation. CONCLUSION Subjects with mixed features showed a greater severity of insomnia and chronobiological rhythm de-synchronization compared to subjects without. Insomnia and chronobiological alterations may contribute to mood disorders together with affective temperaments in a complex interplay also mediating their effect on mood. Preventive strategies for bipolars should also act on the dysregulation of sleep and circadian rhythms. BACKGROUND Cannabis use is markedly prevalent among patients with bipolar disorder (BD). However, to date, there have been no studies on this issue with a sex-based approach. This study examines if lifetime cannabis use (LCU) is differently associated with clinical course, functioning, and quality of life (QoL) in patients with BD by sex. METHODS Secondary analysis of a cross-sectional, naturalistic, multicentre study. LCU was defined as having had at least one day of use per month for at least 12 consecutive months in a patient's life. RESULTS A total of 224 patients with BD were included (65.2% women). Patients with LCU were younger (p = 0.001) and had their first hospitalization earlier (p less then 0.005) than those without LCU, regardless of sex. Among women, LCU was associated with being single (p = 0.006), worse sexual functioning (p = 0.006), financial functioning (p = 0.009), QoL [bodily pain (p = 0.009), vitality (p = 0.027), social functioning (p = 0.037), emotional role (p = 0.038), mental health (p = 0.001), and mental summary component (p = 0.012)]. After controlling for confounders, among women, LCU was associated with worse QoL, specifically on bodily pain (p = 0.049) and mental health (p = 0.016) subscales. Among males, no statistically significant differences were found between LCU and no LCU (NLCU) in any of the variables of the study. LIMITATIONS This study was a secondary analysis not powered specifically to analyze cannabis use. CONCLUSIONS LCU was associated with a younger age at first hospitalization in both women and men, while only women reported worse QoL on bodily pain and mental health subscales. Clinicians and public health providers should be aware of this and inform their patients and the general population of these detrimental effects. V.BACKGROUND Suicide is the second leading cause of death among young adults worldwide, and few studies have assessed the factors associated with suicidality in this specific population. Thus, the aim of this study was to assess the association between mixed episodes and suicidality in a community sample of young adults. For this aim, we compared young adults in a mixed episode with individuals in a depressive or (hypo)manic episode, and community controls. METHOD This is a cross-sectional population-based study including young adults aged 18-24 years old. Information about participants' age, sex, self-reported skin color and study status were obtained using a sociodemographic questionnaire. Mixed, (hypo)manic and depressive episodes, as well as suicide risk were assessed using the Mini International Neuropsychiatric Interview. RESULTS The sample included 1560 individuals. Young adults in a mixed episode showed a 13.50 times higher probability to have suicide risk, as compared to community controls (p  less then  0.001), 5.67 higher probability to have suicide risk as compared to individuals in a (hypo)manic episode (p  less then  0.001), and 2.18 times higher probability to have suicide risk as compared to young adults in a depressive episode (p  less then  0.001). LIMITATION The assessment of suicide risk includes both suicide attempts and ideation. CONCLUSION Young adults in a mixed episode showed a higher rate of suicide risk than individuals with depression or mania/hypomania. Considering the already increasing prevalence of suicide among young adults, there is an urgent need for the early diagnosis and treatment of mixed episodes in this specific population. V.BACKGROUND Subthreshold depression (StD) is a prevalent condition that may increase the risk of incident major depressive disorder (MDD). However, the relationship between StD and MDD remains unclear. METHODS A total of 153 adult subjects, including 53 drug-naive MDD, 50 StD and 50 healthy control (HC) subjects, underwent a T1-weighted magnetic resonance imaging scan, and the gray matter volume (GMV) alterations among the three groups were quantitatively analyzed using voxel-based morphometry (VBM). https://www.selleckchem.com/products/cpi-0610.html Then, to capture the whole-brain connectivity characteristics, we constructed morphological brain networks (MBN) based on the similarity among brain regions of individual VBM images and compared the network connection strengths among the three groups. RESULTS The StD and MDD subjects had similar patterns of GMV reductions in the orbitofrontal cortex and left temporal gyrus, although the magnitude of the reductions was smaller in StD subjects. Moreover, a total of 21 morphological connections were significantly different among the three groups.