Relationship of general medical burden, duration of illness and age in patients with bipolar I disorder

The distinct effects of fearful and disgusting scenes on self-relevant face recognition

Self-face recognition denotes the process by which a person can recognize their own face by distinguishing it from another's face. Although many research studies have explored the inhibition effect of negative information on self-relevant face processing, few researchers have examined whether negative scenes influence self-relevant face processing. Fearful and disgusting scenes are typical negative scenes, but little research to data has examined their discriminative effects on self-relevant face recognition. To investigate these issues, the current study explored the effect of negative scenes on self-relevant face recognition. In Study 1, 44 participants (20 men, 24 women) were asked to judge the orientation of a target face (self-face or friend-face) pictured in a negative or neutral scene, whereas 40 participants (19 men, 21 women) were asked to complete the same task in a fearful, disgusting, or neutral scene in Study 2. The results showed that negative scenes inhibited the speed of recognizing self-faces. Furthermore, the above effect of negative scenes on self-relevant face recognition occurred with fearful rather than disgusting scenes. Our findings suggest the distinct effects of fearful scenes and disgusting scenes on self-relevant face processing, which may be associated with the automatic attentional capture to negative scenes (especially fearful scenes) and the tendency to escape self-awareness.

Clinical and genetic contributions to medical comorbidity in bipolar disorder: a study using electronic health records-linked biobank data

Bipolar disorder is a chronic and complex polygenic disease with high rates of comorbidity. However, the independent contribution of either diagnosis or genetic risk of bipolar disorder to the medical comorbidity profile of individuals with the disease remains unresolved. Here, we conducted a multi-step phenome-wide association study (PheWAS) of bipolar disorder using phenomes derived from the electronic health records of participants enrolled in the Mayo Clinic Biobank and the Mayo Clinic Bipolar Disorder Biobank. First, we explored the conditions associated with a diagnosis of bipolar disorder by conducting a phenotype-based PheWAS followed by LASSO-penalized regression to account for correlations within the phenome. Then, we explored the conditions associated with bipolar disorder polygenic risk score (BD-PRS) using a PRS-based PheWAS with a sequential exclusion approach to account for the possibility that diagnosis, instead of genetic risk, may drive such associations. 53,386 participants (58.7% women) with a mean age at analysis of 67.8 years (SD = 15.6) were included. A bipolar disorder diagnosis (n = 1479) was associated with higher rates of psychiatric conditions, injuries and poisonings, endocrine/metabolic and neurological conditions, viral hepatitis C, and asthma. BD-PRS was associated with psychiatric comorbidities but, in contrast, had no positive associations with general medical conditions. While our findings warrant confirmation with longitudinal-prospective studies, the limited associations between bipolar disorder genetics and medical conditions suggest that shared environmental effects or environmental consequences of diagnosis may have a greater impact on the general medical comorbidity profile of individuals with bipolar disorder than its genetic risk.

Immunoglobulin genes expressed in lymphoblastoid cell lines discern and predict lithium response in bipolar disorder patients

Bipolar disorder (BD) is a neuropsychiatric mood disorder manifested by recurrent episodes of mania and depression. More than half of BD patients are non-responsive to lithium, the first-line treatment drug, complicating BD clinical management. Given its unknown etiology, it is pertinent to understand the genetic signatures that lead to variability in lithium response. We discovered a set of differentially expressed genes (DEGs) from the lymphoblastoid cell lines (LCLs) of 10 controls and 19 BD patients belonging mainly to the immunoglobulin gene family that can be used as potential biomarkers to diagnose and treat BD. Importantly, we trained machine learning algorithms on our datasets that predicted the lithium response of BD subtypes with minimal errors, even when used on a different cohort of 24 BD patients acquired by a different laboratory. This proves the scalability of our methodology for predicting lithium response in BD and for a prompt and suitable decision on therapeutic interventions.

Factors associated with psychiatric and physical comorbidities in bipolar disorder: a nationwide multicenter cross-sectional observational study

BACKGROUND

Bipolar disorder (BD) is a chronic and disabling affective disorder with significant morbidity and mortality. Despite the high rate of psychiatric and physical health comorbidity, little is known about the complex interrelationships between clinical features of bipolar illness and comorbid conditions. The present study sought to examine, quantify and characterize the cross-sectional associations of psychiatric and physical comorbidities with selected demographic and clinical characteristics of adults with BD.

METHODS

A nationwide multicenter cross-sectional observational epidemiological study conducted from October 2015 to March 2017 in Slovakia.

RESULTS

Out of 179 study participants [median age 49 years (interquartile range IQR 38-58); 57.5% females], 22.4% were free of comorbidity, 42.5% had both psychiatric and physical comorbidities, 53.6% at least one psychiatric comorbidity, and 66.5% at least one physical comorbidity. The most prevalent were the essential hypertension (33.5%), various psychoactive substance-related disorders (21.2%), specific personality disorders (14.6%), obesity (14.5%), and disorders of lipoprotein metabolism (14%). The presence of an at least one physical comorbidity, atypical symptoms of BD, and unemployed status were each associated with an at least one psychiatric comorbidity independent of sex, early onset of BD (age of onset <35 years), BD duration and pattern of BD illness progression (p < 0.001). The presence of various psychoactive substance-related disorders, BD duration, atypical symptoms of BD, unemployed status, pension, female sex, and not using antipsychotics were each associated with an at least one physical comorbidity independent of the pattern of BD illness progression (p < 0.001). In several other multiple regression models, the use of antipsychotics (in particular, olanzapine) was associated with a decreased probability of the essential hypertension and predicted the clinical phenotype of comorbidity-free BD (p < 0.05).

CONCLUSION

This cross-national study has reported novel estimates and clinical correlates related to both the comorbidity-free phenotype and the factors associated with psychiatric and physical comorbidities in adults with BD in Slovakia. The findings provide new insights into understanding of the clinical presentation of BD that can inform clinical practice and further research to continue to investigate potential mechanisms of BD adverse outcomes and disease complications onset.

Prevalence and associated factors of obesity and overweight in Chinese patients with bipolar disorder

OBJECT

Despite abundant literature demonstrating a high prevalence of obesity and overweight in people with bipolar disorder (BD), little is known about this topic in China. Therefore, we assessed the prevalence and associated factors of obesity and overweight among inpatients with BD in our hospital, one of the largest public psychiatric hospitals in China.

METHODS

In this retrospective, cross-sectional study, 1,169 inpatients ≥18 years with BD during 2019 were included. Obesity was defined as having a BMI ≥25 kg/m², and overweight was defined as having a BMI from 23 kg/m² to <25 kg/m². Binary logistic regression analysis was performed to identify factors associated with obesity and overweight.

RESULTS

The prevalence of obesity and overweight was 21.0% and 32.2% in patients with BD, respectively. Compared to patients with overweight and normal weight, patients with obesity were older, had a longer duration of BD and a longer length of hospital stay, had a higher prevalence of diabetes and hypertension, and had a higher level of all metabolic indices, except for HDL cholesterol. Binary logistic regression analysis showed that duration of BD, uric acid, alanine aminotransferase (ALT), triglyceride, and LDL cholesterol were significantly associated with obesity, and male sex and uric acid level were significantly associated with overweight (p < 0.05).

CONCLUSIONS

Obesity and overweight were fairly prevalent in Chinese BD patients, and several factors were related to obesity and overweight. The results of the present study call for the need to implement early screening, prevention and interventions for obesity and overweight in patients with BD in China.

Gut microbiome in serious mental illnesses: A systematic review and critical evaluation

Schizophrenia and bipolar disorder (BD) are associated with debilitating psychiatric and cognitive dysfunction, worse health outcomes, and shorter life expectancies. The pathophysiological understanding of and therapeutic resources for these neuropsychiatric disorders are still limited. Humans harbor over 1000 unique bacterial species in our gut, which have been linked to both physical and mental/cognitive health. The gut microbiome is a novel and promising avenue to understand the attributes of psychiatric diseases and, potentially, to modify them. Building upon our previous work, this systematic review evaluates the most recent evidence of the gut microbiome in clinical populations with serious mental illness (SMI). Sixteen articles that met our selection criteria were reviewed, including cross-sectional cohort studies and longitudinal treatment trials. All studies reported alterations in the gut microbiome of patients with SMI compared to non-psychiatric comparison subjects (NCs), and beta-diversity was consistently reported to be different between schizophrenia and NCs. Ruminococcaceae and Faecalibacterium were relatively decreased in BD, and abundance of Ruminococcaceae was reported across several investigations of SMI to be associated with better clinical characteristics. Lactic acid bacteria were relatively more abundant in SMI and associated with worse clinical outcomes. There was very limited evidence for the efficacy of probiotic or prebiotic interventions in SMI. As microbiome research in psychiatry is still nascent, the extant literature has several limitations. We critically evaluate the current data, including experimental approaches. There is a need for more unified methodological standards in order to arrive at robust biological understanding of microbial contributions to SMI.

Estimating the familial risk of psychiatric illnesses: A review of family history scores

A history of psychiatric illnesses in family members of those diagnosed to have an illness has been of significant interest both in research and in clinical practice. Almost all of the major psychiatric illnesses have a familial component to them, perhaps influenced by genetics and a shared environment or their combination. Systematic attempts have been made to quantify these familial risks, as obtained from family history (FH) of psychiatric illnesses. The methods range from a simple dichotomous or count scores to those quantifying as weighted risks such as the Family history density (FHD) measures. This article reviews the available literature on such FH methods and discusses their advantages and limitations. Validation studies have shown that FHD measures may be preferred over dichotomous measures as indicators of familial risk. However, the FHD method has certain limitations, like mostly relying on categorical diagnosis and ignoring other familial risk factors. By critically analysing various existing density measures based on 'ideal characteristics', we suggest a modified version of FHD that would benefit psychiatric research.

Alcohol misuse in bipolar disorder. A systematic review and meta-analysis of comorbidity rates

Aims:

To assess the comorbidity rates of alcohol use disorders (AUDs) in bipolar disorder (BD) and to explore possible sources of heterogeneity.

Methods:

Studies were identified through database searches. Meta-analytic techniques were employed to aggregate data on lifetime comorbidity and to explore possible sources of heterogeneity. Funnel plots were used to detect publication bias.

Results:

In clinical studies, AUDs affected more than one in three subjects with BD. Significant heterogeneity was found, which was largely explained by the geographical location of study populations and gender ratio of participants. AUDs affected more than one in five women and two in five men.

Conclusion:

AUDs are highly prevalent in BD. Our study revealed a substantial heterogeneity across studies. Further research including control groups is needed. Patients with BD should be assessed for current and previous AUDs.

Heart Rate Variability and Omega-3 Index in Euthymic Patients with Bipolar Disorders

Background:

Affective disorders are associated with an increased risk of cardiovascular disease, which, at least partly, appears to be independent of psychopharmacological treatments used to manage these disorders. Reduced heart rate variability (SDNN) and a low Omega-3 Index have been shown to be associated with increased risk for death after myocardial infarction. Therefore, we set out to investigate heart rate variability and the Omega-3 Index in euthymic patients with bipolar disorders.

Methods:

We assessed heart rate variability (SDNN) and the Omega-3 Index in 90 euthymic, mostly medicated patients with bipolar disorders (Bipolar-I, Bipolar-II) on stable psychotropic medication, free of significant medical comorbidity and in 62 healthy controls. Heart rate variability was measured from electrocardiography under a standardized 30 minutes resting state condition. Age, sex, BMI, smoking, alcohol consumption and caffeine consumption as potential confounders were also assessed.

Results:

Heart rate variability (SDNN) was significantly lower in patients with bipolar disorders compared to healthy controls (35.4 msec versus 60.7 msec; P < 0.0001), whereas the Omega-3 Index did not differ significantly between the groups (5.2% versus 5.3%). In a linear regression model, only group membership (patients with bipolar disorders versus healthy controls) and age significantly predicted heart rate variability (SDNN).

Conclusion:

Heart rate variability (SDNN) may provide a useful tool to study the impact of interventions aimed at reducing the increased risk of cardiovascular disease in euthymic patients with bipolar disorders. The difference in SDNN between cases and controls cannot be explained by a difference in the Omega-3 Index.

RNA sequencing of bipolar disorder lymphoblastoid cell lines implicates the neurotrophic factor HRP-3 in lithium's clinical efficacy

Objectives: Lithium remains the oldest and most effective treatment for mood stabilisation in bipolar disorder (BD), even though at least half of patients are only partially responsive or do not respond. This study aimed to identify biomarkers associated with lithium response in BD, based on comparing RNA sequencing information derived from lymphoblastoid cell lines (LCLs) of lithium-responsive (LR) versus lithium non-responsive (LNR) BD patients, to assess gene expression variations that might bear on treatment outcome. Methods: RNA sequencing was carried out on 24 LCLs from female BD patients (12 LR and 12 LNR) followed by qPCR validation in two additional independent cohorts (41 and 17 BD patients, respectively). Results: Fifty-six genes showed nominal differential expression comparing LR and LNR (FC ≥ |1.3|, P ≤ 0.01). The differential expression of HDGFRP3 and ID2 was validated by qPCR in the independent cohorts. Conclusions: We observed higher expression levels of HDGFRP3 and ID2 in BD patients who favourably respond to lithium. Both of these genes are involved in neurogenesis, and HDGFRP3 has been suggested to be a neurotrophic factor. Additional studies in larger BD cohorts are needed to confirm the potential of HDGFRP3 and ID2 expression levels in blood cells as tentative favourable lithium response biomarkers.

Improving Functioning, Quality of Life, and Well-being in Patients With Bipolar Disorder

People with bipolar disorder frequently experience persistent residual symptoms, problems in psychosocial functioning, cognitive impairment, and poor quality of life. In the last decade, the treatment target in clinical and research settings has focused not only on clinical remission, but also on functional recovery and, more lately, in personal recovery, taking into account patients' well-being and quality of life. Hence, the trend in psychiatry and psychology is to treat bipolar disorder in an integrative and holistic manner. This literature review offers an overview regarding psychosocial functioning in bipolar disorder. First, a brief summary is provided regarding the definition of psychosocial functioning and the tools to measure it. Then, the most reported variables influencing the functional outcome in patients with bipolar disorder are listed. Thereafter, we include a section discussing therapies with proven efficacy at enhancing functional outcomes. Other possible therapies that could be useful to prevent functional decline and improve functioning are presented in another section. Finally, in the last part of this review, different interventions directed to improve patients' well-being, quality of life, and personal recovery are briefly described.

The Intersection of Sleep Apnea and Severe Mental Illness in Veterans

BACKGROUND

Individuals with serious mental illness (SMI) have a high prevalence of risk factors for sleep apnea, but these risk factors often go unrecognized, partly due to the overlap among sleep apnea, somatic conditions, and symptoms (e.g., obesity, daytime sleepiness), leading to potential under-recognition of sleep apnea in a high-risk population.

OBJECTIVE

The objective of our study was to compare sleep apnea prevalence and clinical features among Veterans with and without SMI.

METHOD

Data for the current analyses were drawn from an administrative dataset of 33,818 United States Military Veterans with a primary care visit in calendar year 2007. The medical record data included demographic characteristics, and medical, psychiatric, and sleep diagnoses.

RESULTS

Veterans with SMI had a significantly higher prevalence of sleep apnea than those without SMI. Younger Veterans with SMI had a higher prevalence of sleep apnea relative to older Veterans with SMI and Veterans with SMI and sleep apnea had a greater number of medical comorbidities than Veterans with SMI and no sleep apnea.

CONCLUSION

In a large sample of Veterans, those with SMI were at greater risk of having comorbid sleep apnea. Furthermore, Veterans with comorbid SMI and sleep apnea were at greater risk for increased rates of comorbid medical disorders. Sleep apnea appears to be a key risk factor for increased morbidity in Veterans with an SMI diagnosis, highlighting the importance of treating sleep apnea in a challenging patient population.

Epigenetics of Metabolic Syndrome as a Mood Disorder

Mood disorders comprise major depressive disorder (MDD), bipolar disorder (BD) and the milder forms of these two disorders. Reccurring MDD is also known as unipolar disorder. The distinction between unipolar and bipolar disorders was first suggested in 1957 by Leonard and was made official after support by several studies in 1980. Indeed, in 150 AD, Aretaeus of Cappadocia wrote “It seems to me that melancholia is the beginning and a part of mania”. Additionally, Kraepelin, who proposed the first medical disease model in psychiatry a century ago, considered recurrent unipolar depression cases under the category of bipolar disorder and conceptualized spectrum disorders. Because today’s classification systems conduct cross-sectional diagnosis, they do not consider family history, long-term characteristics and multidimensional approaches on symptoms. This method prioritizes reliability over validity and it rules out psychiatric disorders in etiology. Actually, a spectrum model which covers physical diseases is conceivable. The concept of epigenetics considers mood disorders, Alzheimer’s disease, attention deficit and hyperactivity disorder, Carney syndrome, multiple endocrine neoplasia type I and II, breast and prostate cancers, carsinoid tumors, cerebrovascular and cardiovascular diseases and metabolic syndrome together. This review addressed the relationship between metabolic syndrome and mood disorders in this context along with genetic, clinical and environmental factors such as climate, geographic factors, migration and changeable lifestyles. Genetic and clinical variables are affective temperament, childhood trauma and use of antidepressants and antipsychotics.

Bipolar disorder and tobacco smoking: Categorical and dimensional clinical correlates in subjects from the Brazilian bipolar research network

BACKGROUND

People with bipolar disorder (BD) have high rates of smoking. However, the scientific literature examining the association between clinical outcomes in BD and tobacco smoking is still limited and there are conflicting results. The objective of the current study was to comprehensively investigate associations between BD and tobacco smoking in a large Brazilian sample.

METHODS

This study evaluated 336 outpatients from the Brazilian Bipolar Research Network, which is a collaboration between three large academic centers in Brazil.

MAIN FINDINGS

Regarding the categorical analysis (i.e. current smokers versus non-smokers), tobacco smokers showed: 1) a higher percentage of individuals identifying as Non-Caucasians; 2) a longer duration of illness; 3) a longer duration of untreated illness; 4) more severe manic symptoms; 4) a stronger family history of mood disorder; and 6) a higher current prevalence of alcohol/substance use disorder. The dimensional analysis in smokers (i.e. number of cigarettes per day versus clinical variables) found a positive correlation between number of cigarettes per day and a) age, b) age at onset of BD, c) duration of illness, and d) current diagnosis of panic disorder.

CONCLUSION

This study found important clinical correlates of tobacco smoking in BD subjects. We observed that the variables associated with current smoker status (categorical approach) are not necessarily correlated with number of cigarettes per day (dimensional approach). Duration of illness appears to be a particularly relevant clinical variable in the association between BD and tobacco smoking.

Medical Co-morbidities Among Patients with Severe Mental Illnesses in a Community Health Facility in Nigeria

To examine prevalence of medical comorbidity (MCM) in schizophrenia (n = 1310) and in bipolar disorder (n = 1307) and the association of high burden of MCM (≥3 MCM) with duration of untreated illness, number of episodes, functioning, poly-medication and lifetime hospitalization for the mental disorder. Participants were recruited from a private psychiatric facility in Ibadan, Nigeria between 2004 and 2013 and enquiry made about the lifetime occurrence of 20 common chronic diseases including common tropical diseases. Psychiatric diagnosis was made using the Structured Clinical Interview for DSM IV Axis I disorder (SCID). Except for nutritional anemia, dermatitis and intestinal Helminthiasis, patients with schizophrenia were not at higher odds of reporting MCM than those with bipolar disorder. DUI ≥2 years, episodes of illness ≥3, being on multiple neuroleptics and history of previous hospitalization were significantly associated with high burden of MCM in schizophrenia and episodes of illness ≥3, reduced functioning and history of previous hospitalization with bipolar disorder. Schizophrenia and bipolar disorder are associated with high rates of medical comorbidity. Treatment of this medical comorbidity is essential in order to improve the outcomes for patients with bipolar disorder and schizophrenia.

White blood cell count correlates with mood symptom severity and specific mood symptoms in bipolar disorder

OBJECTIVE

Immune alterations may play a role in bipolar disorder etiology; however, the relationship between overall immune system functioning and mood symptom severity is unknown.

METHODS

The two comparative effectiveness trials, the Clinical and Health Outcomes Initiatives in Comparative Effectiveness for Bipolar Disorder Study (Bipolar CHOICE) and the Lithium Treatment Moderate-Dose Use Study (LiTMUS), were similar trials among patients with bipolar disorder. At study entry, white blood cell count and bipolar mood symptom severity (via Montgomery-Aasberg Depression Rating Scale and Bipolar Inventory of Symptoms Scale) were assessed. We performed analysis of variance and linear regression analyses to investigate relationships between deviations from median white blood cell and multinomial regression analysis between higher and lower white blood cell levels. All analyses were adjusted for age, gender, body mass index, smoking, diabetes, hypertension and hyperlipidemia.

RESULTS

Among 482 Bipolar CHOICE participants, for each 1.0 × 10⁹/L white blood cell deviation, the overall Bipolar Inventory of Symptoms Scale severity increased significantly among men (coefficient = 2.13; 95% confidence interval = [0.46, -3.79]; p = 0.013), but not among women (coefficient = 0.87; 95% confidence interval = [-0.87, -2.61]; p = 0.33). Interaction analyses showed a trend toward greater Bipolar Inventory of Symptoms Scale symptom severity among men (coefficient = 1.51; 95% confidence interval = [-0.81, -3.82]; p = 0.2). Among 283 LiTMUS participants, higher deviation from the median white blood cell showed a trend toward higher Montgomery-Aasberg Depression Rating Scale scores among men (coefficient = 1.33; 95% confidence interval = [-0.22, -2.89]; p = 0.09), but not among women (coefficient = 0.34; 95% confidence interval = [-0.64, -1.32]; p = 0.50). When combining LiTMUS and Bipolar CHOICE, Montgomery-Aasberg Depression Rating Scale scores increased significantly among men (coefficient = 1.09; 95% confidence interval = [0.31, -1.87]; p = 0.006) for each 1.0 × 10⁹/L white blood cell deviation, whereas we found a weak association among women (coefficient = 0.55; 95% confidence interval = [-0.20, -1.29]; p = 0.14). Lower and higher white blood cell levels correlated with greater symptom severity and specific symptoms, varying according to gender.

CONCLUSION

Deviations in an overall immune system marker, even within the normal white blood cell range, correlated with mood symptom severity in bipolar disorder, mostly among males. Studies are warranted investigating whether white blood cell count may predict response to mood-stabilizing treatment.

Binge Eating Disorder and Bipolar Spectrum disorders in obesity: Psychopathological and eating behaviors differences according to comorbidities

BACKGROUND

Obesity is not a mental disorder, yet DSM-5 recognizes a strong association between obesity and psychiatric syndromes. Disorders within the Bipolar Spectrum (BSD) and Binge Eating Disorder (BED) are the most frequent psychiatric disorders among obese patients. The aim of this research is to investigate the psychopathological differences and the distinctive eating behaviors that accompany these comorbidities in obese patients.

METHODS

One hundred and nineteen obese patients (40 males; 79 females) underwent psychological evaluation and psychiatric interview, and a dietitian evaluated their eating habits. Patients were divided into four groups according to comorbidities, and comparisons were run accordingly.

RESULTS

Forty-one percent of participants presented BED+BSD comorbidity (Group 1), 21% BED (Group 2) and 8% BSD (Group 3); only 29% obese participants had no comorbidity (Group 4). Female gender was overrepresented among Groups 1 and 2. BSD diagnosis varied according to comorbidities: Type II Bipolar Disorder and Other Specified and Related Bipolar Disorder (OSR BD) were more frequent in Group 1 and Type I Bipolar Disorder in Group 3. A trend of decreasing severity in eating behaviors and psychopathology was evident according to comorbidities (Group 1=Group2>Group3>Group 4).

LIMITATIONS

Limitations include the small sample size and the cross-sectional design of the study.

CONCLUSIONS

BED and BSD are frequent comorbidities in obesity. Type II Bipolar Disorder and OSR BD are more frequent in the group with double comorbidity. The double comorbidity seems associated to more severe eating behaviors and psychopathology. Distinctive pathological eating behaviors could be considered as warning signals, symptomatic of psychiatric comorbidities in Obesity.

Increased risk of chronic liver disease in patients with bipolar disorder: A population-based study

OBJECTIVE

This study aimed to investigate the prevalence and incidence of chronic liver disease in patients with bipolar disorder.

METHODS

We used a random sample of 766,427 subjects aged ≥18 years from the National Health Research Institute database in the year 2005. Subjects with at least one primary diagnosis of bipolar disorder in 2005 were identified. Patients with a primary or secondary diagnosis of chronic liver disease were also defined. We compared the prevalence and associated factors of chronic liver disease between patients with bipolar disorder and the general population in 2005. We also compared the incidence of chronic liver disease in patients with bipolar disorder and the general population from 2006 to 2010.

RESULTS

The prevalence of chronic liver disease in patients with bipolar disorder (13.9%) was 2.68 times higher than that of the general population (5.8%) in 2005. The average annual incidence of chronic liver disease in patients with bipolar disorder from 2006 to 2010 was also higher than that of the general population (2.95% vs. 1.73%; risk ratio: 1.71; 95% confidence interval: 1.46-2.01).

CONCLUSIONS

Patients with bipolar disorder had a significantly higher prevalence and incidence of chronic liver disease than those in the general population, and younger patients with bipolar disorder have a much higher prevalence and incidence than those in the general population. Male sex, second-generation antipsychotic or antidepressant use, and hyperlipidemia were associated factors for chronic liver disease in patients with bipolar disorder.

Leveraging electronic health records to study pleiotropic effects on bipolar disorder and medical comorbidities

Patients with bipolar disorder (BD) have a high prevalence of comorbid medical illness. However, the mechanisms underlying these comorbidities with BD are not well known. Certain genetic variants may have pleiotropic effects, increasing the risk of BD and other medical illnesses simultaneously. In this study, we evaluated the association of BD-susceptibility genetic variants with various medical conditions that tend to co-exist with BD, using electronic health records (EHR) data linked to genome-wide single-nucleotide polymorphism (SNP) data. Data from 7316 Caucasian subjects were used to test the association of 19 EHR-derived phenotypes with 34 SNPs that were previously reported to be associated with BD. After Bonferroni multiple testing correction, P<7.7 × 10(-5) was considered statistically significant. The top association findings suggested that the BD risk alleles at SNP rs4765913 in CACNA1C gene and rs7042161 in SVEP1 may be associated with increased risk of 'cardiac dysrhythmias' (odds ratio (OR)=1.1, P=3.4 × 10(-3)) and 'essential hypertension' (OR=1.1, P=3.5 × 10(-3)), respectively. Although these associations are not statistically significant after multiple testing correction, both genes have been previously implicated with cardiovascular phenotypes. Moreover, we present additional evidence supporting these associations, particularly the association of the SVEP1 SNP with hypertension. This study shows the potential for EHR-based analyses of large cohorts to discover pleiotropic effects contributing to complex psychiatric traits and commonly co-occurring medical conditions.

Increased risk of hyperlipidemia in patients with bipolar disorder: a population-based study

OBJECTIVE

We conducted this nationwide study to examine the epidemiology of hyperlipidemia among Taiwanese patients with bipolar disorder.

METHODS

We used a random sample of 766,427 subjects who were ≥18 years old in 2005. Subjects with at least one primary diagnosis of bipolar disorder were identified. Individuals with a primary or secondary diagnosis of hyperlipidemia or medication treatment for hyperlipidemia were also identified. We compared the prevalence of hyperlipidemia in patients with bipolar disorder with the general population in 2005. Furthermore, we investigated this cohort from 2006 to 2010 to detect the incident cases of hyperlipidemia.

RESULTS

The prevalence of hyperlipidemia in patients with bipolar disorder was higher than that of the general population [13.5% vs. 7.9%; odds ratio, 1.75; 95% confidence interval (CI), 1.52-2.02] in 2005. The average annual incidence of hyperlipidemia in patients with bipolar disorder was also higher than that of the general population (4.37% vs. 2.55%; risk ratio, 1.66; 95% CI, 1.47-1.87) from 2006 to 2010.

CONCLUSIONS

Patients with bipolar disorder had a higher prevalence and incidence of hyperlipidemia compared with the general population. Patients with bipolar disorder coexisting hypertension exhibited a higher likelihood of hyperlipidemia.

An Integrated Risk Reduction Intervention can reduce body mass index in individuals being treated for bipolar I disorder: results from a randomized trial

OBJECTIVES

We conducted a randomized, controlled trial comparing the efficacy of an Integrated Risk Reduction Intervention (IRRI) to a control condition with the objective of improving mood stability and psychosocial functioning by reducing cardiometabolic risk factors in overweight/obese patients with bipolar I disorder.

METHODS

A total of 122 patients were recruited from our outpatient services and randomly allocated to IRRI (n = 61) or psychiatric care with medical monitoring (n = 61). Individuals allocated to IRRI received psychiatric treatment and assessment, medical monitoring by a nurse, and a healthy lifestyle program from a lifestyle coach. Those allocated to the control condition received psychiatric treatment and assessment and referral, if indicated, for medical problems. A mixed-effects model was used to examine the impact of the interventions on body mass index (BMI). Exploratory moderator analyses were used to characterize those individuals likely to benefit from each treatment approach.

RESULTS

Analyses were conducted on data for the IRRI (n = 58) and control (n = 56) participants with ≥ 1 study visit. IRRI was associated with a significantly greater rate of decrease in BMI (d = -0.51, 95% confidence interval: -0.91 to -0.14). Three variables (C-reactive protein, total cholesterol, and instability of total sleep time) contributed to a combined moderator of faster decrease in BMI with IRRI treatment.

CONCLUSIONS

Overweight/obese patients with bipolar disorder can make modest improvements in BMI, even when taking medications with known potential for weight gain. Our finding that a combination of three baseline variables provides a profile of patients likely to benefit from IRRI will need to be tested further to evaluate its utility in clinical practice.

Health-related physical fitness in patients with bipolar disorder vs. healthy controls: an exploratory study

BACKGROUND

Low physical fitness has been recognized as a prominent behavioral risk factor for cardiovascular diseases and an independent risk factor for all-cause mortality. To date, no studies have systematically assessed physical fitness in patients with bipolar disorder. The aim of the current study was to assess and compare the physical fitness in patients with bipolar disorder against healthy controls.

METHODS

Thirty patients with bipolar disorder (16♂, 40.8±11.6 years) and 30 age-, gender- and body mass index (BMI)-matched healthy controls were included. All participants performed the Eurofit test battery and the International Physical Activity Questionnaire. Patients were screened for psychiatric symptoms using the Quick Inventory of Depressive Symptomatology and Hypomania Checklist-32.

RESULTS

Patients with bipolar disorder had a reduced speed of limb movement (15.8±5.7 vs. 11.8±2.2s; p<0.001), explosive leg muscle strength (134.9±49.0 vs. 167.6±32.3cm; p=0.003) and abdominal muscular endurance (11.5±7.8 vs. 18.3±7.6; p<0.001). Backward regression analyses demonstrated that longer illness duration, higher body mass index, higher levels of depression and a lower physical activity level explained the variance in physical fitness.

LIMITATIONS

Our data are cross-sectional and cannot establish cause and effect.

CONCLUSIONS

The current findings suggest that a lower physical fitness is emerging as an eminent modifiable risk factor for somatic co-morbidity in people with bipolar disorder. In particular less physically active persons, those with a longer illness duration and those with higher levels of depression might benefit from specific rehabilitation interventions aimed at increasing physical fitness.

Medical burden in bipolar disorder: findings from the Clinical and Health Outcomes Initiative in Comparative Effectiveness for Bipolar Disorder study (Bipolar CHOICE)

OBJECTIVES

Individuals with bipolar disorder have high rates of other medical comorbidity, which is associated with higher mortality rates and worse course of illness. The present study examined common predictors of medical comorbidity.

METHODS

The Clinical and Health Outcomes Initiative in Comparative Effectiveness for Bipolar Disorder study (Bipolar CHOICE) enrolled 482 participants with bipolar I or bipolar II disorder in a six-month, randomized comparative effectiveness trial. Baseline assessments included current and lifetime DSM-IV-TR diagnoses, demographic information, psychiatric and medical history, severity of psychiatric symptoms, level of functioning, and a fasting blood draw. Medical comorbidities were categorized into two groups: cardiometabolic (e.g., diabetes, hyperlipidemia, and metabolic syndrome) and non-cardiovascular (e.g., seizures, asthma, and cancer). Additionally, we looked at comorbid substance use (e.g., smoking and drug dependence).

RESULTS

We found that 96.3% of participants had at least one other medical comorbidity. Older age predicted a greater likelihood of having a cardiometabolic condition. Early age of onset of bipolar symptoms was associated with a lower chance of having a cardiometabolic condition, but a greater chance of having other types of medical comorbidity. Additional predictors of other medical comorbidities in bipolar disorder included more time spent depressed, less time spent manic/hypomanic, and longer duration of illness. Medications associated with weight gain were associated with low high-density lipoprotein and abnormal triglycerides.

CONCLUSIONS

There appears to be a substantial medical burden associated with bipolar disorder, highlighting the need for collaborative care among psychiatric and general medical providers to address both psychiatric and other medical needs concomitantly in this group of patients.

Comorbid medical illness in bipolar disorder

BACKGROUND

Individuals with a mental health disorder appear to be at increased risk of medical illness.

AIMS

To examine rates of medical illnesses in patients with bipolar disorder (n = 1720) and to examine the clinical course of the bipolar illness according to lifetime medical illness burden.

METHOD

Participants recruited within the UK were asked about the lifetime occurrence of 20 medical illnesses, interviewed using the Schedules for Clinical Assessment in Neuropsychiatry (SCAN) and diagnosed according to DSM-IV criteria.

RESULTS

We found significantly increased rates of several medical illnesses in our bipolar sample. A high medical illness burden was associated with a history of anxiety disorder, rapid cycling mood episodes, suicide attempts and mood episodes with a typically acute onset.

CONCLUSIONS

Bipolar disorder is associated with high rates of medical illness. This comorbidity needs to be taken into account by services in order to improve outcomes for patients with bipolar disorder and also in research investigating the aetiology of affective disorder where shared biological pathways may play a role.

Bipolar disorder and comorbidity: increased prevalence and increased relevance of comorbidity for hospital-based mortality during a 12.5-year observation period in general hospital admissions

BACKGROUND

Bipolar disorder (BD) is associated with an increase of psychiatric and physical comorbidities, but the effects of these disorders on general hospital-based mortality are unclear. Consequently, we investigated whether the burden of comorbidity and its relevance on hospital-based mortality differed between individuals with and without BD during a 12.5-year observation period in general hospital admissions.

METHODS

During 1 January 2000 and 30 June 2012, 621 individuals with BD were admitted to three General Manchester Hospitals. All comorbidities with a prevalence ≥1% were compared with those of 6210 randomly selected and group-matched hospital controls of the same age and gender, regardless of priority of diagnoses. Comorbidities that increased the risk for hospital-based mortality (but not mortality outside of the hospitals) were identified using multivariate logistic regression analyses.

RESULTS

Individuals with BD had a more severe course of disease than controls that was associated with a higher total number of in-hospital deaths. Individuals with BD compared to controls had a substantial higher burden of comorbidities, the most frequent comorbidities included asthma, type-2 diabetes mellitus (T2DM), and alcohol dependence. 18 other diseases with a surplus of diabetes related complications were also increased. Fourteen comorbidities contributed to the prediction of hospital-based mortality in univariate analyses. Risk factors for hospital-based mortality in multivariate analyses were ischemic stroke, pneumonia, bronchitis, chronic obstructive pulmonary disease, T2DM, and hypertension. The impact of T2DM on hospital-based mortality was higher in individuals with BD than in controls.

LIMITATIONS

The study design was not assigned to assess the type of BD, the current bipolar status, and if individuals with BD were treated with medication. It was neither possible to compare drug effects, nor to compare the adherence to treatment between samples.

CONCLUSION

In one of the largest samples of individuals with BD in general hospitals, the excess comorbity in individuals with BD compared to controls is in particular caused by asthma and T2DM. T2DM and its complications cause significant excess hospital-based mortality in individuals with BD.

Circadian rhythms and sleep in bipolar disorder: implications for pathophysiology and treatment

PURPOSE OF REVIEW

Multiple lines of evidence support the conceptualization of bipolar disorder as a disorder of circadian rhythms. Considering bipolar disorder in the framework of circadian disturbances also helps understand the clinical phenomenology pointing toward a multisystemic involvement.

RECENT FINDINGS

Patients with bipolar disorder show altered rhythmicity in body temperature and melatonin rhythms, high day-to-day variability in activity and sleep timing, persistent disturbances of sleep or wake cycles, including disturbances of sleep continuity. The internal clocks are, indeed, responsible for regulating a variety of physiologic functions, including appetitive behaviors, cognitive functions and metabolism.

SUMMARY

An underlying circadian pathology in bipolar disorder is a unifying explicatory model for the high psychiatric and medical comorbidity observed during the long-term course of the disorder. This model also provides a rationale for therapeutic interventions aimed at re-entraining the internal clock.

Relationship between clinical features and inflammation-related monocyte gene expression in bipolar disorder - towards a better understanding of psychoimmunological interactions

OBJECTIVES

Existing and previously published datasets were examined for associations between illness and treatment characteristics and monocyte pro-inflammatory gene expression in patients with bipolar disorder (BD). We hypothesized a priori that increased monocyte pro-inflammatory gene expression would be found more frequently in patients with a lifetime history of psychotic symptoms.

METHODS

Monocyte quantitative polymerase chain reaction and symptom data from 64 patients with BD were collected from three Dutch studies. Regression analyses were performed to analyze the various associations between pro-inflammatory gene expression and clinical features, from which feature-expression heat maps were drawn.

RESULTS

No associations were found between pro-inflammatory gene expression and lifetime psychotic symptoms, whereas a positive association was identified between subcluster 2 genes and manic symptoms. For several subcluster 1a genes, a negative association was found with age at onset. For most subcluster 2 genes, a positive association was found with the duration of illness. Current use of antidepressants and of anti-epileptic agents was associated with subcluster 2 gene expression, and current use of lithium and antipsychotic agents with subcluster 1a gene expression.

CONCLUSIONS

Our hypothesis that lifetime psychotic features would be associated with pro-inflammatory monocyte gene expression was not confirmed. In an explorative analysis we found: (i) a possible relationship between pro-inflammatory gene expression and manic symptomatology; (ii) a differential immune activation related to age at onset and duration of illness; and (iii) support for the concept of an immune suppressive action of some of the mood-regulating medications.

General medical burden in bipolar disorder: findings from the LiTMUS comparative effectiveness trial

OBJECTIVE

This study examined general medical illnesses and their association with clinical features of bipolar disorder.

METHOD

Data were cross-sectional and derived from the Lithium Treatment - Moderate Dose Use Study (LiTMUS), which randomized symptomatic adults (n = 264 with available medical comorbidity scores) with bipolar disorder to moderate doses of lithium plus optimized treatment (OPT) or to OPT alone. Clinically significant high and low medical comorbidity burden were defined as a Cumulative Illness Rating Scale (CIRS) score ≥4 and <4 respectively.

RESULTS

The baseline prevalence of significant medical comorbidity was 53% (n = 139). Patients with high medical burden were more likely to present in a major depressive episode (P = .04), meet criteria for obsessive-compulsive disorder (P = .02), and experience a greater number of lifetime mood episodes (P = 0.02). They were also more likely to be prescribed a greater number of psychotropic medications (P = .002). Sixty-nine per cent of the sample was overweight or obese as defined by body mass index (BMI), with African Americans representing the racial group with the highest proportion of stage II obesity (BMI ≥35; 31%, n = 14).

CONCLUSION

The burden of comorbid medical illnesses was high in this generalizable sample of treatment-seeking patients and appears associated with worsened course of illness and psychotropic medication patterns.

Are adults with bipolar disorder active? Objectively measured physical activity and sedentary behavior using accelerometry

BACKGROUND

Little is known about physical activity and sedentary behavior of adults with bipolar disorder (BP). Physical activity and sedentary behaviors may be modifiable factors associated with elevated rates of obesity, diabetes, cardiovascular disease, metabolic syndrome, and mortality in adults with BP.

METHODS

Sixty adult outpatients treated for BP (> 18 yr) wore accelerometers for seven consecutive days. Each minute epoch was assigned an activity level based on the number of counts per minute; sedentary(<100 counts), light(101-1951 counts), or moderate/vigorous(>1952 counts). Adults with BP were matched 1:1 to users and non-users of mental health services (MHS) (NHANES 2003-2004) by gender, closest BMI, and age.

RESULTS

On average, adults with BP wore actigraphs over 17 h/day. The majority of monitoring time (78%) was classified as sedentary (approximately 13.5h/day). Light physical activity accounted for 21% of the monitoring time/day (215 min/day). None achieved 150 min/wk of moderate/vigorous activity as recommended by national guidelines. Adults with BP were significantly less active and more sedentary than MHS users and non-users in NHANES 2003-2004 (p<0.01).

LIMITATIONS

Majority of the participants were relatively asymptomatic with most (87%) having no more than mild depressive symptoms and none experiencing severe manic symptoms. The sedating effects of medications on physical activity were not investigated.

CONCLUSION

From clinical perspectives, these findings justify physical activity interventions targeting adults with BP as a possible means to improve their physical and mental health and to reduce the elevated risk of commonly observed medical comorbidities in this high-risk population.

The presentation, recognition and management of bipolar depression in primary care

Bipolar disorder is a mood disorder characterized by episodes of major depression and mania or hypomania. Most patients experience chronic symptoms of bipolar disorder approximately half of the time, most commonly subsyndromal depressive symptoms or a full depressive episode with concurrent manic symptoms. Consequently, patients with bipolar depression are often misdiagnosed with major depressive disorder. Individual patient characteristics and population screening tools may be helpful in improving recognition of bipolar depression in primary care. Health risk behaviors including tobacco use, sedentary activity level and weight gain are highly prevalent in patients with bipolar disorder, as are the comorbid chronic diseases such as diabetes mellitus and cardiovascular disease. Patients with bipolar illness have about an eight-fold higher risk of suicide and a two-fold increased risk of death from chronic medical illnesses. Recognition of bipolar depression and its associated health risk behaviors and chronic medical problems can lead to the use of appropriate interventions for patients with bipolar disorder, which differ in important ways from the treatments used for major depressive disorder. The above topics are reviewed in detail in this article.

Association of exercise with quality of life and mood symptoms in a comparative effectiveness study of bipolar disorder

BACKGROUND

Individuals with bipolar disorder lead a sedentary lifestyle associated with worse course of illness and recurrence of symptoms. Identifying potentially modifiable predictors of exercise frequency could lead to interventions with powerful consequences on the course of illness and overall health.

METHODS

The present study examines baseline reports of exercise frequency of bipolar patients in a multi-site comparative effectiveness study of a second generation antipsychotic (quetiapine) versus a classic mood stabilizer (lithium). Demographics, quality of life, functioning, and mood symptoms were assessed.

RESULTS

Approximately 40% of participants reported not exercising regularly (at least once per week). Less frequent weekly exercise was associated with higher BMI, more time depressed, more depressive symptoms, and lower quality of life and functioning. In contrast, more frequent exercise was associated with experiencing more mania in the past year and more current manic symptoms.

LIMITATIONS

Exercise frequency was measured by self-report and details of the exercise were not collected. Analyses rely on baseline data, allowing only for association analyses. Directionality and predictive validity cannot be determined. Data were collected in the context of a clinical trial and thus, it is possible that the generalizability of the findings could be limited.

CONCLUSION

There appears to be a mood-specific relationship between exercise frequency and polarity such that depression is associated with less exercise and mania with more exercise in individuals with bipolar disorder. This suggests that increasing or decreasing exercise could be a targeted intervention for patients with depressive or mood elevation symptoms, respectively.

Nutrition, Exercise, and Wellness Treatment in bipolar disorder: proof of concept for a consolidated intervention

BACKGROUND

This pilot study examines the proof of concept of a consolidated Nutrition, Exercise, and Wellness Treatment (NEW Tx) for overweight individuals with bipolar disorder.

FINDINGS

Five participants completed NEW Tx, a 20-week individual cognitive behavioral therapy-based treatment comprising three modules: Nutrition teaches appropriate serving sizes and balanced diet; Exercise emphasizes increasing weekly physical activity; Wellness focuses on skills for healthy decision-making. Participants attended most sessions and reported high satisfaction with the treatment. Participants' weight, cholesterol and trigyclerides decreased over the study duration as well as number of daily calories and sugar intake. We found that weekly exercise duration more than tripled over the study duration and depressive symptoms and functioning have improved.

CONCLUSIONS

These results offer proof of concept that consolidated NEW Tx is feasible and acceptable and has the potential to improve nutrition, exercise, wellness, and mood symptoms in bipolar disorder. Future iterations of NEW Tx will reflect the strengths and lessons learned from this study.

Cytokines in bipolar disorder vs. healthy control subjects: a systematic review and meta-analysis

BACKGROUND

Bipolar disorder may be associated with peripheral immune system dysfunction; however, results in individual studies are conflicting. Our aim was to systematically review evidence of peripheral cytokine alterations in bipolar disorder integrating findings from various affective states.

METHODS

We conducted a meta-analysis of studies comparing peripheral cytokine concentrations in patients with bipolar disorder with healthy control subjects. Results were reported according to the PRISMA statement.

RESULTS

Eighteen studies with a total of 761 bipolar disorder patients and 919 healthy controls were included. Overall, concentrations of soluble Interleukin (IL)-2 receptor (sIL-2R), tumor necrosis factor-α (TNF-α), soluble tumor necrosis factor receptor type 1 (sTNFR1) (p < 0.001 each), sIL-6R (p = 0.01) and IL-4 (p = 0.04) were significantly higher in bipolar patients compared with healthy controls. There were no significant differences between bipolar disorder patients and healthy control subjects for IL-1, IL-2, IL-5, IL-6, IL-8, IL-10, IL-12, IL-1β, IL-1 receptor antagonist (IL-1RA), interferon-γ (IFN-γ), transforming growth factor-β1 (TGF-β1) and sTNFR2.

CONCLUSIONS

Employing a global approach, incorporating evidence across affective states, this meta-analysis found some support for peripheral inflammatory alterations in bipolar disorder. Results were limited by heterogeneity between studies, insufficient standardization and lacking control for confounders in individual studies. Further research exploring the role of the peripheral inflammatory system in relation to neuroinflammation is warranted.

Effects of lithium on oxidative stress and behavioral alterations induced by lisdexamfetamine dimesylate: relevance as an animal model of mania

Lisdexamfetamine dimesylate (LDX) is a prodrug that requires conversion to d-amphetamine (d-AMPH) for bioactivity. Treatment with d-AMPH induces hyperlocomotion and is regarded as a putative animal model of bipolar mania. Therefore, we sought to determine the behavioral and oxidative stress alterations induced by sub-chronic LDX administration as well as their reversal and prevention by lithium in rats. A significant increment in locomotor behavior was induced by LDX (10 and 30 mg/kg). To determine Li effects against LDX-induced alterations, in the reversal protocol rats received LDX (10 or 30 mg/kg) or saline for 14 days. Between days 8 and 14 animals received Li (47.5 mg/kg, i.p.) or saline. In the prevention paradigm, rats were pretreated with Li or saline prior to LDX administration. Glutathione (GSH) levels and lipid peroxidation was determined in the prefrontal cortex (PFC), hippocampus (HC) and striatum (ST) of rats. Lithium prevented LDX-induced hyperlocomotion at the doses of 10 and 30 mg/kg, but only reversed LDX-induced hyperlocomotion at dose of 10mg/kg. In addition, both doses of LDX decreased GSH content (in ST and PFC), while Li was able to reverse and prevent these alterations mainly in the PFC. LDX (10 and 30 mg/kg) increased lipid peroxidation which was reversed and prevented by Li. In conclusion, LDX-induced hyperlocomotion along with associated increments in oxidative stress show promise as an alternative animal model of mania.

Novel routes to bipolar disorder drug discovery

INTRODUCTION

Bipolar disorder (BD) is a severe and chronic medical condition typified by episodic recurrent mania (or hypomania) in addition to major depression. BD is associated with a number of negative outcomes including premature death, reduced quality of life and can also lead to other complications including impaired cognitive function. Unfortunately, the currently available pharmacological treatments for BD are insufficient for many with the condition.

AREAS COVERED

This review focuses on known therapeutic targets of mood stabilizing drugs including: the glycogen synthase kinase-3 (GSK-3), the phosphoinositide pathway and protein kinase C (PKC), the brain-derived neurotrophic factor (BDNF), and histone deacetylases (HDACs). This article also presents new promising therapeutic targets including: the glutamatergic pathway, mitochondrial modulators, neuropeptide-converting endopeptidases, the insulin transduction pathway, the purinergic system and the melatoninergic system.

EXPERT OPINION

Challenges in improving methods and tools to generate, integrate and analyze high-dimensional data are required to allow opening novel routes to BD drug discovery. Through the application of systems biology approaches and the use of bioinformatical tools to integrate all omics data, it will be possible in the near future to gain deeper insights into pathophysiology of BD. This will in turn lead to the identification and exploitation of new potential therapeutic approaches.

An adjunct exercise program for serious mental illness: who chooses to participate and is it feasible?

Despite evidence that exercise is beneficial for serious mental illness, it continues to be an under utilized adjunct treatment strategy. Thus, the aims of this study were to examine if self-selected or volunteer exercise programs are feasible in a structured outpatient program and who might choose to participate in such a program. Individuals with serious mental illness admitted to a partial hospital program were offered an adjunct exercise group or a control, psychoeducation group. The exercise group (N = 38) met three times a week for 50 min. Individuals who chose not to exercise (N = 28), attended a psychoeducational control group. Those who self-selected the exercise group tended to have a higher level of education, employment rate and to be Caucasian. The control group had more medical problems, a higher body mass index and alcohol intake. The groups did not differ on age, sex, or use of cigarettes and caffeine. The exercise group was regularly attended. Both groups improved equally on all outcomes symptom and psychological well-being outcomes. These data highlight that certain individuals with serious mental illness may be more likely to exercise based on demographic opposed to clinical features, or illness characteristics. Thus, adjunct exercise programs for individuals with serious mental illness seem to be feasible, but certain groups of individuals (i.e., ethnic minorities, unemployed) should be targeted for recruitment as they are less likely to volunteer for such adjunct exercise programs.

Challenges in drug target discovery in bipolar disorder

INTRODUCTION

Misdiagnosis and subsequent inappropriate treatment of patients with bipolar disorder (BD) can worsen their clinical condition and outcome.

AREAS COVERED

This review focuses on the therapeutic targets which have been implicated in BD, including the glycogen synthase kinase 3 (GSK-3) and phosphoinositide signaling pathways. In addition, evidence is presented for potential new molecular strategies which involve targeting neuropeptide-converting endopeptidases, glutamatergic excitotoxicity, insulin signaling and dysfunctions in mitochondrial metabolism. Current limitations in study design, molecular platforms, preclinical and cellular models in the context of BD drug target discovery, suggest that there are many areas for improvement.

EXPERT OPINION

For the future outlook, this review outlines the importance of developments such as the use of BD patient-derived cellular models for providing better understanding of the BD etiology and robust translational drug screening tools in combination with developments in the fields of bioinformatics and systems biology.

Disparities in safe sex counseling & behavior among individuals with substance dependence: a cross-sectional study

Background

Despite the vast literature examining disparities in medical care, little is known about racial/ethnic and mental health disparities in sexual health care. The objective of this study was to assess disparities in safe sex counseling and resultant behavior among a patient population at risk of negative sexual health outcomes.

Methods

We conducted a cross-sectional analysis among a sample of substance dependent men and women in a metropolitan area in the United States. Multiple logistic regression models were used to explore the relationship between race/ethnicity (non-Hispanic black; Hispanic; non-Hispanic white) and three indicators of mental illness (moderately severe to severe depression; any manic episodes; ≥3 psychotic symptoms) with two self-reported outcomes: receipt of safe sex counseling from a primary care physician and having practiced safer sex because of counseling.

Results

Among 275 substance-dependent adults, approximately 71% (195/275) reported ever being counseled by their regular doctor about safe sex. Among these 195 subjects, 76% (149/195) reported practicing safer sex because of this advice. Blacks (adjusted odds ratio (AOR): 2.71; 95% confidence interval (CI): 1.36,5.42) and those reporting manic episodes (AOR: 2.41; 95% CI: 1.26,4.60) had higher odds of safe sex counseling. Neither race/ethnicity nor any indicator of mental illness was significantly associated with practicing safer sex because of counseling.

Conclusions

Those with past manic episodes reported more safe sex counseling, which is appropriate given that hypersexuality is a known symptom of mania. Black patients reported more safe sex counseling than white patients, despite controlling for sexual risk. One potential explanation is that counseling was conducted based on assumptions about sexual risk behaviors and patient race. There were no significant disparities in self-reported safer sex practices because of counseling, suggesting that increased counseling did not differentially affect safe sex behavior for black patients and those with manic episodes. Exploring the basis of how patient characteristics can influence counseling and resultant behavior merits further exploration to help reduce disparities in safe sex counseling and outcomes.

Trial registration

NCT00278447

Can bipolar disorder be viewed as a multi-system inflammatory disease?

BACKGROUND

Patients with bipolar disorder are known to be at high risk of premature death. Comorbid cardio-vascular diseases are a leading cause of excess mortality, well above the risk associated with suicide. In this review, we explore comorbid medical disorders, highlighting evidence that bipolar disorder can be effectively conceptualized as a multi-systemic inflammatory disease.

METHODS

We conducted a systematic PubMed search of all English-language articles recently published with bipolar disorder cross-referenced with the following terms: mortality and morbidity, cardio-vascular, diabetes, obesity, metabolic syndrome, inflammation, auto-antibody, retro-virus, stress, sleep and circadian rhythm.

RESULTS

Evidence gathered so far suggests that the multi-system involvement is present from the early stages, and therefore requires proactive screening and diagnostic procedures, as well as comprehensive treatment to reduce progression and premature mortality. Exploring the biological pathways that could account for the observed link show that dysregulated inflammatory background could be a common factor underlying cardio-vascular and bipolar disorders. Viewing bipolar disorder as a multi-system disorder should help us to re-conceptualize disorders of the mind as "disorders of the brain and the body".

LIMITATIONS

The current literature substantially lacks longitudinal and mechanistic studies, as well as comparison studies to explore the magnitude of the medical burden in bipolar disorder compared to major mood disorders as well as psychotic disorders. It is also necessary to look for subgroups of bipolar disorder based on their rates of comorbid disorders.

CONCLUSIONS

Comorbid medical illnesses in bipolar disorder might be viewed not only as the consequence of health behaviors and of psychotropic medications, but rather as an early manifestation of a multi-systemic disorder. Medical monitoring is thus a critical component of case assessment. Exploring common biological pathways of inflammation should help biomarkers discovery, ultimately leading to innovative diagnostic tools, new methods of prevention and personalized treatments.

Pharmacologic treatment of bipolar disorder in children and adolescents

This review focuses mainly on published articles regarding the treatment of school-aged children and adolescents with pediatric bipolar disorder. In light of systematic reviews, large randomized controlled trial data are emphasized wherever possible. This review addresses the treatment of acute manic/mixed episodes, including combination treatment, the preliminary literature regarding bipolar depression among youth, treatment in the face of comorbid conditions, and maintenance treatment. Suggestions regarding future directions are offered. A clinical vignette describing a teen with bipolar disorder is presented and bipolar medications, dosing, efficacy, side effects, contraindications, and succinct comments on each medication are summarized.

Neurobiological correlates of illness progression in the recurrent affective disorders

Some clinical aspects of affective illness progression, such as episode-, stress-, and substance-induced sensitization, have been well documented in the literature, but others have received less attention. These include cognitive deficits, treatment-refractoriness, and neurobiological correlates of illness progression, which are the primary focus of this paper. We review the evidence that cognitive dysfunction, treatment resistance, medical comorbidities, and neurobiological abnormalities increase as a function of the number of prior episodes or duration of illness in the recurrent unipolar and bipolar disorders. Substantial evidence supports the view that cognitive dysfunction and vulnerability to a diagnosis of dementia in old age increases as a function of number of prior mood episodes as does non-response to many therapeutic interventions as well as naturalistic treatment. Neurobiological abnormalities that correlate with the number of mood episodes or duration of illness include: anatomical, functional, and biochemical deficits in the prefrontal cortex and hippocampus, as well as amygdala hyperactivity and cortisol hyper-secretion. Some neurotrophic factors and inflammatory markers may also change with greater illness burden. Causality cannot be inferred from these correlative relationships. Nonetheless, given the potentially grave consequences of episode recurrence and progression for morbidity and treatment non-responsiveness, it is clinically wise to assume episodes are causing some of the progressive cognitive and neurobiological abnormalities. As such, earlier and more sustained long-term prophylaxis to attempt to reduce these adverse outcomes is indicated.

Illness burden and medical comorbidity in the Systematic Treatment Enhancement Program for Bipolar Disorder

OBJECTIVE

Coexisting chronic medical conditions are common in bipolar disorder. Here, we report the prevalence and correlates of medical comorbidity in patients enrolled in the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD). We were particularly interested in associations between variables reflecting illness chronicity and burden with comorbid medical conditions.

METHOD

We used intake data from the open-label component of the STEP-BD. History of medical comorbidity was obtained from the affective disorders evaluation, and its presence was the outcome of interest. The sample size in analyses varied from 3399 to 3534. We used multiple Poisson regression to obtain prevalence ratios.

RESULTS

The prevalence of any medical comorbidity in the sample was 58.8%. In addition to demographic variable, several clinical characteristics were associated with the frequency of medical comorbidity. Having more than 10 previous mood episodes, childhood onset, smoking, lifetime comorbidity with anxiety, and substance use disorders were independently associated with having a medical comorbidity in the final multivariate model.

CONCLUSION

The results presented here reveal strong associations between variables related to illness chronicity and medical burden in bipolar disorder. This lends further support to recent multidimensional models incorporating medical morbidity as a core feature of bipolar disorder.

Health care resource utilization and costs in a commercially insured population of patients with bipolar disorder type I and frequent psychiatric interventions

BACKGROUND

Bipolar disorder type I (BP-I) is one of the most expensive behavioral diagnoses in the United States. Characterizing patient populations that consume significant resources would be useful for designing and implementing additional resources and targeted interventions to reduce the costs of BP-I.

OBJECTIVE

This analysis compared the characteristics, health care resource utilization, and costs of commercially insured patients with BP-I (indicating a history of manic or mixed episodes) and frequent psychiatric interventions (FPIs) versus those without FPIs.

METHODS

This retrospective study used data from commercial insurance claims to identify adults with FPIs (≥2 clinically significant events [CSEs]) or without FPIs during a 12-month identification period (year 1). CSEs included emergency department (ED) visits or hospitalizations with a principal diagnosis of BP-I, the addition of a new medication to the observed treatment regimen, or a ≥50% increase in BP-I medication dose. Demographic and clinical characteristics were evaluated during the identification period, and health care resource utilization and costs were evaluated during a 12-month follow-up period (year 2).

RESULTS

Data from 7620 patients with FPIs and 11,571 without FPIs were included (women, 67.1% and 59.9%, respectively; P < 0.001). Of patients with FPIs in the identification period, 22.2% continued to have FPIs in the follow-up period. In the follow-up period, the group with FPIs had a greater proportion of patients with psychiatric-related inpatient hospitalizations (14.6% vs 2.8%) and ED visits (11.6% vs 2.7%) [corrected], a longer mean hospital length of stay (11.74% vs 8.24 days) [corrected], and greater adjusted mean psychiatric-related costs ($6617 vs $3276) and all-cause health care costs ($14,091 vs $9357) compared with the group without FPIs (all, P < 0.001). The risks for a psychiatric-related hospitalization and an ED visit during the follow-up period were significantly greater in the group with FPIs compared with the group without (odds ratios, 4.86 and 3.76, respectively; both, P < 0.01).

CONCLUSIONS

In this retrospective analysis, FPIs were associated with a greater number of FPIs during follow-up, ∼2-fold the psychiatric-related costs, and 1.5-fold the all-cause health care costs compared with no FPIs. These data highlight the economic burden of FPIs and the potential for health care cost reductions from improved management options in these patients.

Effects of lithium on lipopolysaccharide-induced inflammation in rat primary glia cells

Lithium is the gold-standard treatment for bipolar disorder, a severe mental illness. A large body of evidence suggests that inflammation plays a role in the pathogenesis of bipolar disorder and that mood stabilizers exhibit anti-inflammatory properties. However, contradicting findings have also been reported. In this study, we examined the effects of lithium on LPS-induced inflammation in rat primary glia cells. Cells were pre-treated with lithium (1 or 10 mM) for 6 or 24 h, after which, inflammation was induced by the addition of LPS (for another 18 h) to the culture medium. Thereafter, medium was collected and cells were harvested for further analyses. Levels of TNF-α, IL1-β and PGE2 were determined by ELISA and NO levels by the Griess reaction assay. Expression levels of cyclooxygenase-2 (COX-2) and inducible NO synthase (iNOS) were examined by Western blot analysis. We found that pre-treatment with lithium 10 mM (but not 1 mM) significantly reduced LPS-induced secretion of TNF-α, IL1-β, PGE2 and NO. In addition, lithium significantly reduced the expression of COX-2 and iNOS. These findings indicate that lithium exhibits a potent anti-inflammatory effect. However, it’s important to emphasize that this effect was obtained mainly under treatment with an extra-therapeutic concentration of the drug.