Focal adhesion is associated with lithium response in bipolar disorder: evidence from a network-based multi-omics analysis.

Lithium (Li) is one of the most effective drugs for treating bipolar disorder (BD), however, there is presently no way to predict response to guide treatment. The aim of this study is to identify functional genes and pathways that distinguish BD Li responders (LR) from BD Li non-responders (NR). An initial Pharmacogenomics of Bipolar Disorder study (PGBD) GWAS of lithium response did not provide any significant results. As a result, we then employed network-based integrative analysis of transcriptomic and genomic data. In transcriptomic study of iPSC-derived neurons, 41 significantly differentially expressed (DE) genes were identified in LR vs NR regardless of lithium exposure. In the PGBD, post-GWAS gene prioritization using the GWA-boosting (GWAB) approach identified 1119 candidate genes. Following DE-derived network propagation, there was a highly significant overlap of genes between the top 500- and top 2000-proximal gene networks and the GWAB gene list (Phypergeometric = 1.28E-09 and 4.10E-18, respectively). Functional enrichment analyses of the top 500 proximal network genes identified focal adhesion and the extracellular matrix (ECM) as the most significant functions. Our findings suggest that the difference between LR and NR was a much greater effect than that of lithium. The direct impact of dysregulation of focal adhesion on axon guidance and neuronal circuits could underpin mechanisms of response to lithium, as well as underlying BD. It also highlights the power of integrative multi-omics analysis of transcriptomic and genomic profiling to gain molecular insights into lithium response in BD.

Circadian rhythms in bipolar disorder patient-derived neurons predict lithium response: preliminary studies.

Bipolar disorder (BD) is a neuropsychiatric illness defined by recurrent episodes of mania/hypomania, depression and circadian rhythm abnormalities. Lithium is an effective drug for BD, but 30-40% of patients fail to respond adequately to treatment. Previous work has demonstrated that lithium affects the expression of "clock genes" and that lithium responders (Li-R) can be distinguished from non-responders (Li-NR) by differences in circadian rhythms. However, circadian rhythms have not been evaluated in BD patient neurons from Li-R and Li-NR. We used induced pluripotent stem cells (iPSCs) to culture neuronal precursor cells (NPC) and glutamatergic neurons from BD patients characterized for lithium responsiveness and matched controls. We identified strong circadian rhythms in Per2-luc expression in NPCs and neurons from controls and Li-R, but NPC rhythms in Li-R had a shorter circadian period. Li-NR rhythms were low amplitude and profoundly weakened. In NPCs and neurons, expression of PER2 was higher in both BD groups compared to controls. In neurons, PER2 protein levels were higher in BD than controls, especially in Li-NR samples. In single cells, NPC and neuron rhythms in both BD groups were desynchronized compared to controls. Lithium lengthened period in Li-R and control neurons but failed to alter rhythms in Li-NR. In contrast, temperature entrainment increased amplitude across all groups, and partly restored rhythms in Li-NR neurons. We conclude that neuronal circadian rhythm abnormalities are present in BD and most pronounced in Li-NR. Rhythm deficits in BD may be partly reversible through stimulation of entrainment pathways.

Correction of depression-associated circadian rhythm abnormalities is associated with lithium response in bipolar disorder.

BACKGROUND: Bipolar disorder (BD) is characterized by episodes of depression and mania and disrupted circadian rhythms. Lithium is an effective therapy for BD, but only 30%-40% of patients are fully responsive. Preclinical models show that lithium alters circadian rhythms. However, it is unknown if the circadian rhythm effects of lithium are essential to its therapeutic properties. METHODS: In secondary analyses of a multi-center, prospective, trial of lithium for BD, we examined the relationship between circadian rhythms and therapeutic response to lithium. Using standardized instruments, we measured morningness, diurnal changes in mood, sleep, and energy (circadian rhythm disturbances) in a cross-sectional study of 386 BD subjects with varying lithium exposure histories. Next, we tracked symptoms of depression and mania prospectively over 12 weeks in a subset of 88 BD patients initiating treatment with lithium. Total, circadian, and affective mood symptoms were scored separately and analyzed. RESULTS: Subjects with no prior lithium exposure had the most circadian disruption, while patients stable on lithium monotherapy had the least. Patients who were stable on lithium with another drug or unstable on lithium showed intermediate levels of disruption. Treatment with lithium for 12 weeks yielded significant reductions in total and affective depression symptoms. Lithium responders (Li-Rs) showed improvement in circadian symptoms of depression, but non-responders did not. There was no difference between Li-Rs and nonresponders in affective, circadian, or total symptoms of mania. CONCLUSIONS: Exposure to lithium is associated with reduced circadian disruption. Lithium response at 12 weeks was selectively associated with the reduction of circadian depressive symptoms. We conclude that stabilization of circadian rhythms may be an important feature of lithium's therapeutic effects. CLINICAL TRIALS REGISTRY: NCT0127253.

Mixed state and suicide: Is the effect of mixed state on suicidal behavior more than the sum of its parts?

OBJECTIVE: To assess whether suicidal behavior during mixed states exceeds that expected from the manic or depressive components alone. METHODS: This study included 429 participants with bipolar disorder from the National Institute of Mental Health Collaborative Depression Study (CDS). Mood and suicidal behavior were captured using the Longitudinal Interval Follow-up Evaluation and the Schedule of Affective Disorders and Schizophrenia. Suicidal behavior during each mood state, relative to euthymia, was analyzed using Cox regression to allow for repeated events, with a frailty term to account for intra-participant correlation. Mixed states were modeled as a depression-by-mania interaction. RESULTS: Individuals with a history of mixed states were at higher risk of suicidal behavior and spent more time depressed, compared to subjects with no such history. In bipolar I disorder, risk increased during episodes of mania (hazard ratio [HR]: 1.96, 95% confidence interval [CI]: 1.28-2.99, P = .0019) and depression (HR: 5.49, 95% CI: 4.01-7.51, P < .0001) and there was a less than additive effect of mixed states. In bipolar II disorder, risk was increased during episodes of depression (HR: 3.66, 95% CI: 2.51-5.35, P < .0001) and there was no excess risk during mixed states beyond that attributable to the depressed component. Most of the excess risk (71%) among those with a history of mixed states was attributable to a depression predominant course of illness. CONCLUSIONS: Individuals with mixed states are at high risk of suicidal behavior, largely due to more time spent depressed. Clinicians should aggressively treat depression to mitigate suicide risk for patients with or without mixed states.

The Pharmacogenomics of Bipolar Disorder study (PGBD): identification of genes for lithium response in a prospective sample.

BACKGROUND: Bipolar disorder is a serious and common psychiatric disorder characterized by manic and depressive mood switches and a relapsing and remitting course. The cornerstone of clinical management is stabilization and prophylaxis using mood-stabilizing medications to reduce both manic and depressive symptoms. Lithium remains the gold standard of treatment with the strongest data for both efficacy and suicide prevention. However, many patients do not respond to this medication, and clinically there is a great need for tools to aid the clinician in selecting the correct treatment. Large genome wide association studies (GWAS) investigating retrospectively the effect of lithium response are in the pipeline; however, few large prospective studies on genetic predictors to of lithium response have yet been conducted. The purpose of this project is to identify genes that are associated with lithium response in a large prospective cohort of bipolar patients and to better understand the mechanism of action of lithium and the variation in the genome that influences clinical response. METHODS/DESIGN: This study is an 11-site prospective non-randomized open trial of lithium designed to ascertain a cohort of 700 subjects with bipolar I disorder who experience protocol-defined relapse prevention as a result of treatment with lithium monotherapy. All patients will be diagnosed using the Diagnostic Interview for Genetic Studies (DIGS) and will then enter a 2-year follow-up period on lithium monotherapy if and when they exhibit a score of 1 (normal, not ill), 2 (minimally ill) or 3 (mildly ill) on the Clinical Global Impressions of Severity Scale for Bipolar Disorder (CGI-S-BP Overall Bipolar Illness) for 4 of the 5 preceding weeks. Lithium will be titrated as clinically appropriate, not to exceed serum levels of 1.2 mEq/L. The sample will be evaluated longitudinally using a wide range of clinical scales, cognitive assessments and laboratory tests. On relapse, patients will be discontinued or crossed-over to treatment with valproic acid (VPA) or treatment as usual (TAU). Relapse is defined as a DSM-IV manic, major depressive or mixed episode or if the treating physician decides a change in medication is clinically necessary. The sample will be genotyped for GWAS. The outcome for lithium response will be analyzed as a time to event, where the event is defined as clinical relapse, using a Cox Proportional Hazards model. Positive single nucleotide polymorphisms (SNPs) from past genetic retrospective studies of lithium response, the Consortium on Lithium Genetics (ConLiGen), will be tested in this prospective study sample; a meta-analysis of these samples will then be performed. Finally, neurons will be derived from pluripotent stem cells from lithium responders and non-responders and tested in vivo for response to lithium by gene expression studies. SNPs in genes identified in these cellular studies will also be tested for association to response. DISCUSSION: Lithium is an extraordinarily important therapeutic drug in the clinical management of patients suffering from bipolar disorder. However, a significant proportion of patients, 30-40 %, fail to respond, and there is currently no method to identify the good lithium responders before initiation of treatment. Converging evidence suggests that genetic factors play a strong role in the variation of response to lithium, but only a few genes have been tested and the samples have largely been retrospective or quite small. The current study will collect an entirely unique sample of 700 patients with bipolar disorder to be stabilized on lithium monotherapy and followed for up to 2 years. This study will produce useful information to improve the understanding of the mechanism of action of lithium and will add to the development of a method to predict individual response to lithium, thereby accelerating recovery and reducing suffering and cost. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01272531 Registered: January 6, 2011.

Personality Disorders, Impulsiveness, and Novelty Seeking in Persons with DSM-IV Pathological Gambling and Their First-Degree Relatives.

This study investigates the presence of personality disorders, impulsiveness, and novelty seeking in probands with DSM-IV pathological gambling (PG), controls, and their respective first-degree relatives using a blind family study methodology. Ninety-three probands with DSM-IV PG, 91 controls, and their 395 first-degree relatives were evaluated for the presence of personality disorder with the Structured Interview for DSM-IV Personality. Impulsiveness was assessed with the Barratt Impulsiveness Scale (BIS). Novelty seeking was evaluated using questions from Cloninger's Temperament and Character Inventory. Results were analyzed using logistic regression by the method of generalized estimating equations to account for within family correlations. PG probands had a significantly higher prevalence of personality disorders than controls (41 vs. 7 %, OR = 9.0, P < 0.001), along with higher levels of impulsiveness and novelty seeking. PG probands with a personality disorder had more severe gambling symptoms; earlier age at PG onset; more suicide attempts; greater psychiatric comorbidity; and a greater family history of psychiatric illness than PG probands without a personality disorder. PG relatives had a significantly higher prevalence of personality disorder than relatives of controls (24 vs. 9%, OR = 3.2, P < 0.001) and higher levels of impulsiveness. Risk for PG in relatives is associated with the presence of personality disorder and increases along with rising BIS Non-Planning and Total scale scores. Personality disorders, impulsiveness, and novelty seeking are common in people with PG and their first-degree relatives. The presence of a personality disorder appears to be a marker of PG severity and earlier age of onset. Risk for PG in relatives is associated with the presence of personality disorder and trait impulsiveness. These findings suggest that personality disorder and impulsiveness may contribute to a familial diathesis for PG.

A mega-analysis of genome-wide association studies for major depressive disorder.

Prior genome-wide association studies (GWAS) of major depressive disorder (MDD) have met with limited success. We sought to increase statistical power to detect disease loci by conducting a GWAS mega-analysis for MDD. In the MDD discovery phase, we analyzed more than 1.2 million autosomal and X chromosome single-nucleotide polymorphisms (SNPs) in 18 759 independent and unrelated subjects of recent European ancestry (9240 MDD cases and 9519 controls). In the MDD replication phase, we evaluated 554 SNPs in independent samples (6783 MDD cases and 50 695 controls). We also conducted a cross-disorder meta-analysis using 819 autosomal SNPs with P<0.0001 for either MDD or the Psychiatric GWAS Consortium bipolar disorder (BIP) mega-analysis (9238 MDD cases/8039 controls and 6998 BIP cases/7775 controls). No SNPs achieved genome-wide significance in the MDD discovery phase, the MDD replication phase or in pre-planned secondary analyses (by sex, recurrent MDD, recurrent early-onset MDD, age of onset, pre-pubertal onset MDD or typical-like MDD from a latent class analyses of the MDD criteria). In the MDD-bipolar cross-disorder analysis, 15 SNPs exceeded genome-wide significance (P<5 × 10(-8)), and all were in a 248 kb interval of high LD on 3p21.1 (chr3:52 425 083-53 822 102, minimum P=5.9 × 10(-9) at rs2535629). Although this is the largest genome-wide analysis of MDD yet conducted, its high prevalence means that the sample is still underpowered to detect genetic effects typical for complex traits. Therefore, we were unable to identify robust and replicable findings. We discuss what this means for genetic research for MDD. The 3p21.1 MDD-BIP finding should be interpreted with caution as the most significant SNP did not replicate in MDD samples, and genotyping in independent samples will be needed to resolve its status.

Vascular mortality in participants of a bipolar genomics study.

BACKGROUND: In prior work, we identified a relationship between symptom burden and vascular outcomes in bipolar disorder. OBJECTIVE: We sought to replicate these findings using a readily accessible measure of mood disorder chronicity and vascular mortality. METHODS: We conducted a mortality assessment using the National Death Index for 1716 participants with bipolar I disorder from the National Institute of Mental Health Genetics Initiative Bipolar Disorder Consortium. We assessed the relationship between the duration of the most severe depressive and manic episodes and time to vascular mortality (cardiovascular or cerebrovascular) using Cox proportional hazards models, adjusting for potentially confounding variables. RESULTS: Mortality was assessed a mean for 7 years following study intake, at which time 58 participants died, 18 of vascular causes. These participants had depression for much longer than their counterparts did (Wilcoxon rank sum Z = 2.30, p = 0.02) and the duration of the longest depressive episode in years was significantly associated with time to vascular mortality in models (hazard ratio = 1.16, 95% confidence interval: 1.02-1.33, p = 0.02), which controlled for age, gender, vascular disease equivalents, and vascular disease risk factors. The duration of longest mania was not related to vascular mortality. CONCLUSION: The duration of the most severe depression is independently predictive of vascular mortality, lending further support to the idea that mood disorders hasten vascular mortality in a dose-dependent fashion. Further study of the relevant mechanisms by which mood disorders may hasten vascular disease and of integrated treatments for mood and cardiovascular risk factors is warranted.

Omega-3 fatty acid biomarkers and subsequent depressive symptoms.

OBJECTIVE: We sought to determine the relationship between the omega-3 fatty acid content of red blood cell membranes (RBC), in particular docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA), and baseline and new-onset depressive symptoms in post-menopausal women. We secondarily sought to characterize the association between dietary omega-3 fatty acid intake and depressive symptomatology. METHODS: Study participants included 7086 members of the Women's Health Initiative Memory Study (aged 63-81 years) who had an assessment of RBC omega-3 fatty acid concentrations at the baseline screening visit. Depressive symptoms at baseline and follow-up were characterized using the Burnam eight-item scale for depressive disorders (Center for Epidemiologic Studies Depression Scale/Diagnostic Interview Schedule short form) and secondarily additionally inferred by antidepressant medication use. RESULTS: In multivariable-adjusted models, our primary exposure, RBC DHA + EPA, was not related to depressive symptoms by any measure at baseline or follow-up, nor were RBC total omega-3, DHA, or EPA (all p > 0.2). In contrast, dietary intake of omega-3 was positively associated with depressive symptoms at baseline (adjusted odds ratio 1.082, 95% confidence interval 1.004-1.166; p = 0.04 for dietary DHA + EPA and Burnam score ≥0.06), although this generally did not persist at follow-up. CONCLUSION: No relationship between RBC omega-3 levels and subsequent depressive symptoms was evident, and associations between dietary omega-3 and depressive symptoms were variable. Biomarkers of omega-3 status do not appear to be related to risk of new depression in post-menopausal women.

Seasonal variation of depressive symptoms in unipolar major depressive disorder.

OBJECTIVES: Retrospective and cross-sectional studies of seasonal variation of depressive symptoms in unipolar major depression have yielded conflicting results. We examined seasonal variation of mood symptoms in a long-term prospective cohort - the Collaborative Depression Study (CDS). METHODS: The sample included 298 CDS participants from five academic centers with a prospectively derived diagnosis of unipolar major depression who were followed for at least ten years of annual or semi-annual assessments. Generalized linear mixed models were utilized to investigate the presence of seasonal patterns. In a subset of 271 participants followed for at least 20 years, the stability of a winter depressive pattern was assessed across the first two decades of follow-up. RESULTS: A small increase in proportion of time depressed was found in the months surrounding the winter solstice, although the greatest symptom burden was seen in December through April with a peak in March. The relative burden of winter depressive symptoms in the first decade demonstrated no relationship to that of the second decade. The onset of new episodes was highest October through January, peaking in January. CONCLUSIONS: There exists a small but statistically significant peak in depressive symptoms from the month of the winter solstice to the month of the spring equinox. However, the predominance of winter depressive symptoms did not appear stable over the long-term course of illness.

Differential contributions of circadian clock genes to cell survival in bipolar disorder patient derived neuronal progenitor cells distinguishes lithium responders and non-responders.

Bipolar disorder (BD) is characterized by disrupted circadian rhythms and neuronal loss. Lithium is neuroprotective and used to treat BD, but outcomes are variable. Past research identified that circadian rhythms in BD patient neurons are associated with lithium response (Li-R) or non-response (Li-NR). However, the underlying cellular mechanisms remain unknown. To study interactions among circadian clock genes and cell survival, and their role in BD and predicting lithium response, we tested selected genes (PER1, BMAL1 and REV-ERBα) and small molecule modulators of ROR/REV-ERB nuclear receptors in models of cell survival using mouse neurons and stem-cell derived neuronal progenitor cells (NPC) from BD patients and controls. In apoptosis assays using staurosporine (STS), lithium was neuroprotective. Knockdown of PER1, BMAL1 and REV-ERBα modified cell survival across models. In NPCs, reduced expression of PER1 and BMAL1 led to more extensive cell death in Li-NR vs. Li-R. Reduced REV-ERBα expression caused more extensive cell death in BD vs. control NPCs, without distinguishing Li-R and Li-NR. In IMHN, The REV-ERB agonist GSK4112 had strong effects on circadian rhythm amplitude, and was neuroprotective in mouse neurons and control NPCs, but not in BD NPCs. Expression of cell survival genes following STS and GSK4112 treatments revealed BD-associated, and Li-R associated differences in expression profiles. We conclude that the neuroprotective response to lithium is similar in NPCs from Li-R and Li-NR. However, knockdown of circadian clock genes or stimulation of REV-ERBs reveal distinct contributions to cell death in BD patient NPCs, some of which distinguish Li-R and Li-NR.

Seasonal variation of manic and depressive symptoms in bipolar disorder.

OBJECTIVES: Analyses of seasonal variation of manic and depressive symptoms in bipolar disorder in retrospective studies examining admission data have yielded conflicting results. We examined seasonal variation of mood symptoms in a prospective cohort with long-term follow-up: the Collaborative Depression Study (CDS). METHODS: The CDS included participants from five academic centers with a prospective diagnosis of bipolar I or II disorder. The sample was limited to those who were followed for at least 10 years of annual or semi-annual assessments. Time series analyses and autoregressive integrated moving average (ARIMA) models were used to assess seasonal patterns of manic and depressive symptoms. RESULTS: A total of 314 individuals were analyzed (bipolar I disorder, n = 202; bipolar II disorder, n = 112), with both disorders exhibiting the lowest frequency of depressive symptoms in summer and the highest around the winter solstice, though the winter peak in symptoms was statistically significant only with bipolar I disorder. Variation of manic symptoms was more pronounced in bipolar II disorder, with a significant peak in hypomanic symptomatology in the months surrounding the fall equinox. CONCLUSIONS: Significant seasonal variation exists in bipolar disorder, with manic/hypomanic symptoms peaking around the fall equinox and depressive symptoms peaking in the months surrounding the winter solstice in bipolar I disorder.

Posttraumatic stress disorder increases risk for suicide attempt in adults with recurrent major depression.

BACKGROUND: Genetics of Recurrent Early-Onset Depression study (GenRED II) data were used to examine the relationship between posttraumatic stress disorder (PTSD) and attempted suicide in a population of 1,433 individuals with recurrent early-onset major depressive disorder (MDD). We tested the hypothesis that PTSD resulting from assaultive trauma increases risk for attempted suicide among individuals with recurrent MDD. METHODS: Data on lifetime trauma exposures and clinical symptoms were collected using the Diagnostic Interview for Genetic Studies version 3.0 and best estimate diagnoses of MDD, PTSD, and other DSM-IV Axis I disorders were reported with best estimated age of onset. RESULTS: The lifetime prevalence of suicide attempt in this sample was 28%. Lifetime PTSD was diagnosed in 205 (14.3%) participants. We used discrete time-survival analyses to take into account timing in the PTSD-suicide attempt relationship while adjusting for demographic variables (gender, race, age, and education level) and comorbid diagnoses prior to trauma exposure. PTSD was an independent predictor of subsequent suicide attempt (HR = 2.5, 95% CI: 1.6, 3.8; P < .0001). Neither assaultive nor nonassaultive trauma without PTSD significantly predicted subsequent suicide attempt after Bonferroni correction. The association between PTSD and subsequent suicide attempt was driven by traumatic events involving assaultive violence (HR = 1.7, 95% CI: 1.3, 2.2; P< .0001). CONCLUSIONS: Among those with recurrent MDD, PTSD appears to be a vulnerability marker of maladaptive responses to traumatic events and an independent risk factor for attempted suicide. Additional studies examining differences between those with and without PTSD on biological measures might shed light on this potential vulnerability.

A validation study of PHQ-9 suicide item with the Columbia Suicide Severity Rating Scale in outpatients with mood disorders at National Network of Depression Centers.

BACKGROUND: In the United States, suicide is one of the serious public health problems and a major cause of death. Several researchers and clinical settings use the patient health questionnaires (PHQ-9) to gauge depression and psychological distress among adults and to predict suicide and death. This study aimed to assess the sensitivity, specificity, and predictive potential of suicide Q9 of the PHQ-9 compared to the Columbia-suicide severity rating scale (C-SSRS). METHODS: Adults aged 19 or older, identified with a primary mood disorder diagnosis during their initial clinic visit between 2012 and 2020 from the National Network of Depression Centers, were included in the study. The accuracy of the PHQ-9 suicide item was compared with the gold standard, the C-SSRS. RESULTS: Out of 2677 study participants, 31.6 % (n = 846) and 11.65 % (n = 312) had positive responses to the PHQ-9 suicide item and C-SSRS response, respectively. The sensitivity of the PHQ-9 compared to the C-SSR was 74.7 % (95%CI: 69.6 %-79.2 %), specificity 74.1 % (95%CI: 72.3 %-75.8 %), positive predictive value 27.5 % (95%CI: 24.6 %-30.6 %), and negative predictive value 95.7 % (95%CI: 94.7 %-96.5 %). The secondary analysis results showed better validity results of the PHQ-9 suicide item when compared to the suicide ideation item of the C-SSRS. LIMITATIONS: This study is among mood disorder patients so additional research would be necessary among populations with different conditions. CONCLUSION: For initial suicide screening, the PHQ-9 suicide item would over identify patients as at risk for suicide and the C-SSRS should be used mood disorder clinics to identify suicide risk.

Contributions of circadian clock genes to cell survival in fibroblast models of lithium-responsive bipolar disorder.

Bipolar disorder (BD) is characterized by mood episodes, disrupted circadian rhythms and gray matter reduction in the brain. Lithium is an effective pharmacotherapy for BD, but not all patients respond to treatment. Lithium has neuroprotective properties and beneficial effects on circadian rhythms that may distinguish lithium responders (Li-R) from non-responders (Li-NR). The circadian clock regulates molecular pathways involved in apoptosis and cell survival, but how this overlap impacts BD and/or lithium responsiveness is unknown. In primary fibroblasts from Li-R/Li-NR BD patients and controls, we found patterns of co-expression among circadian clock and cell survival genes that distinguished BD vs. control, and Li-R vs. Li-NR cells. In cellular models of apoptosis using staurosporine (STS), lithium preferentially protected fibroblasts against apoptosis in BD vs. control samples, regardless of Li-R/Li-NR status. When examining the effects of lithium treatment of cells in vitro, caspase activation by lithium correlated with period alteration, but the relationship differed in control, Li-R and Li-NR samples. Knockdown of Per1 and Per3 in mouse fibroblasts altered caspase activity, cell death and circadian rhythms in an opposite manner. In BD cells, genetic variation in PER1 and PER3 predicted sensitivity to apoptosis in a manner consistent with knockdown studies. We conclude that distinct patterns of coordination between circadian clock and cell survival genes in BD may help predict lithium response.

Course of illness following prospectively observed mania or hypomania in individuals presenting with unipolar depression.

OBJECTIVES: In a well-defined sample, we sought to determine which clinical variables, some of potential nosological relevance, influence subsequent course following prospectively observed initial episodes of hypomania or mania (H/M). METHODS: We identified 108 individuals in the National Institute of Mental Health Collaborative Depression Study diagnosed with unipolar major depression at intake who subsequently developed H/M. We assessed time to repeat H/M based on whether one had been started on an antidepressant or electroconvulsive therapy within eight weeks of developing H/M, had longer episodes, or had a family history of bipolar disorder. RESULTS: Modeling age of onset, treatment-associated H/M, family history of bipolar disorder, duration of index H/M episode, and psychosis in Cox regression analysis, family history of bipolar disorder (n=21) was strongly associated with repeat episodes of H/M [hazard ratio (HR)=2.01, 95% confidence interval (CI): 1.06-3.83, p=0.03]. Those with treatment-associated episodes (n=12) were less likely to experience subsequent episodes of H/M, although this was not significant in the multivariate model (HR=0.25, 95% CI: 0.06-1.05, p=0.06). These individuals also had a later age of onset for affective illness and were more likely to be depressed. Duration of illness with a temporal resolution of one week, psychosis, and age of onset were not associated with time to repeat H/M episode. CONCLUSIONS: A family history of bipolar disorder influences the course of illness, even after an initial H/M episode. In this select sample, treatment-associated H/M did not appear to convey the same risk for a course of illness characterized by recurrent H/M episodes.

Vasculopathy related to manic/hypomanic symptom burden and first-generation antipsychotics in a sub-sample from the collaborative depression study.

BACKGROUND: Mood disorders substantially increase the risk of cardiovascular disease, though the mechanisms are unclear. We assessed for a dose-dependent relationship between course of illness or treatment with vasculopathy in a well-characterized cohort. METHODS: Participants with mood disorders were recruited for the National Institute of Mental Health Collaborative Depression Study (CDS) and followed prospectively. A cross-sectional metabolic and vascular function evaluation was performed on a sub-sample near completion after a mean follow-up of 27 years. RESULTS: A total of 35 participants from the University of Iowa (33) and Washington University (2) sites of the CDS consented to a metabolic and vascular function assessment at the Iowa site. In multivariate linear regression, controlling for age, gender, and smoking, manic/hypomanic, but not depressive, symptom burden was associated with lower flow-mediated dilation. Cumulative exposure to antipsychotics and mood stabilizers was associated with elevated augmentation pressure and mean aortic systolic blood pressure. This appeared specifically related to first-generation antipsychotic exposure and mediated by increases in brachial systolic pressure. Although second-generation antipsychotics were associated with dyslipidemia and insulin resistance, they were not associated with vasculopathy. CONCLUSIONS: These results provide evidence that chronicity of mood symptoms contribute to vasculopathy in a dose-dependent fashion. Patients with more manic/hypomanic symptoms had poorer endothelial function. First-generation antipsychotic exposure was associated with arterial stiffness, evidenced by higher augmentation pressure, perhaps secondary to elevated blood pressure. Vascular phenotyping methods may provide a promising means of elucidating the mechanisms linking mood disorders to vascular disease.

Symptoms of mania and anxiety do not contribute to suicidal ideation or behavior in the presence of bipolar depression.

Bipolar disorder is typified by episodes of manic/hypomanic and depressive symptoms, either distinctly or concurrently as mixed symptoms. While depressive symptoms are the major driver of risk, it is unclear whether specific combinations of manic and anxiety symptoms contribute differentially to suicidal ideation and behavior in individuals with bipolar disorder during a depressive state. This study uses a quantitative application of Rothman's theoretical framework of causation, or 'causal pies' model. Data were obtained from the National Network of Depression Centers Mood Outcomes Program for 1028 visits from 626 individuals with bipolar disorder with current moderate-to-severe depressive symptoms, operationalized as a Patient Health Questionnaire-8 (PHQ-8) score ≥10. Mania symptoms were captured using the Altman Self-Rating Mania scale (ASRM) and anxiety symptoms were captured using the Generalized Anxiety Disorder-7 scale (GAD-7). The outcome of suicidal ideation or behavior was captured using the Columbia Suicide Severity Rating Scale (C-SSRS). In this cohort of individuals with bipolar disorder and at least moderate depressive symptoms, we found no increased risk of suicidal ideation or behavior attributable to manic and anxiety symptom clusters in individuals with bipolar disorder during depressive state. A small amount (4%) of risk was attributable to having severe depressive symptoms. These findings, however, may be influenced by limitations in sample size and measurement instruments. Future studies would benefit from larger samples and more rigorous assessments, including clinician-rated measures.

Anxiety symptoms and suicidal thoughts and behaviors among patients with mood disorders.

BACKGROUND: Though the association between anxiety disorders and suicidal behavior is well-described, the impact of anxiety symptoms on suicidal thoughts and behaviors (STB) across different mood disorders is still unclear. METHODS: We performed a registry-based retrospective study utilizing outcome measure data collected by the National Network of Depression Centers (NNDC), a nationwide nonprofit consortium of 26 leading clinical and academic member centers in the United States. The sample consisted of 2607 outpatients with mood disorders (major depressive disorder or bipolar disorders). Demographic and clinical variables were compared based on the presence or absence of STB and severity of anxiety symptoms (minimal, mild, moderate, and severe). Univariate and multivariable logistic regressions were conducted to examine the correlations of STB, considering multicollinearity. RESULTS: Patients with mild, moderate, and severe anxiety symptoms had higher odds of STB than those with minimal symptoms. Gender, marital status, age, and depressive symptoms were other strong predictors of STB. There was no difference in the odds of STB between patients with major depressive disorder (MDD) and those with bipolar disorders (BD). However, the odds of suicidal ideation were slightly lower among patients with BD than those with MDD. LIMITATIONS: Our sample was comprised only of outpatients, limiting the generalization of our findings. Other limitations include the lack of structured interviews for diagnostic characterization of the patients and the utilization of data on anxiety and mood obtained solely through self-report scales. CONCLUSIONS: We found a cross-sectional association between the severity of anxiety symptoms and STB among patients with mood disorders. This study demonstrates the need for a suicide risk assessment in patients with mood disorders reporting anxiety symptoms.