Shared clinical associations between obesity and impulsivity in rapid cycling bipolar disorder: a systematic review

Associations between major depressive and bipolar disorders and eating disorder, PTSD, and comorbid symptom severity in eating disorder patients

OBJECTIVE

Major depressive disorder (MDD) and bipolar disorder (BD) are commonly comorbid with eating disorders (EDs). However, there is limited data about the clinical features of such patients, especially their association with traumatic histories and PTSD, which occur commonly in patients admitted to residential treatment.

METHODS

Adults (≥18 years, 91% female, n = 2155) admitted to residential ED treatment were evaluated upon admission for DSM-5 defined MDD and BD. Patients were divided into three groups based on an admission diagnosis of no mood disorder (NMD), MDD, and BD (types I and II) and compared on a number of demographic variables, clinical features and assessments.

RESULTS

Mood disorders occurred in 76.4% of participants. There were statistically significant differences across groups in most measures with the BD group showing higher rates and doses of traumatic events; higher current PTSD; higher BMIs; higher severity of ED, depression and state-trait anxiety symptoms; worse quality of life; and higher rates of substance use disorders. Similarly, the MDD group had higher rates than the NMD group on most measures.

CONCLUSIONS

These findings have important implications for prevention, treatment and long-term follow-up and highlight the need for early trauma-focused treatment of ED patients with comorbid mood disorders and PTSD.

Greater anhedonia scores in healthy individuals are associated with less decline in 24-hour energy expenditure with fasting: Evidence for a link between behavioral traits and spendthrift phenotype

Obesity rates are increasing and affecting mental health. It is important to understand how behavioral traits such as anhedonia are associated with physiologic traits that may predict weight-change in clinical and non-clinical populations. We studied whether 24-hour energy expenditure (24hEE) changes with fasting and overfeeding are associated with anhedonia in a healthy cohort. We performed behavioral assessments (physical anhedonia scale (PAS) and inventory for depressive symptoms (IDS)) followed by measures of 24hEE and urinary catecholamines in a whole-room indirect calorimeter (respiratory chamber) during energy balance, and then randomly during fasting and 2 different overfeeding diets. Participants (n=98) were medically healthy, between 18 and 55 years of age, with normal glucose regulation and weight-stable 6 months before admission. Women were premenopausal and not pregnant. Higher PAS was significantly associated with lesser decrease in 24hEE with fasting and higher urinary catecholamine excretion rates - consistent with spendthrift metabolism. As IDS increased, the association between anhedonia and the change in 24hEE from energy balance to fasting decreased (B-values were lower for change in EE). Here, higher PAS scores may reflect the ability to respond with appropriate homeostatic reactions which balance energy needs. IDS scores blunting this response may explain how anhedonia and depression can lead to weight gain.

Prevalence and outcomes of rapid cycling bipolar disorder: Mixed method systematic meta-review

Rapid-cycling in bipolar disorder (RC-BD) is associated with greater illness morbidity and inferior treatment response but many aspects remain unclear, prompting this systematic review of its definitions, prevalence, and clinical characteristics. We searched multiple literature databases through April 2022 for systematic reviews or meta-analyses on RC-BD and extracted associated definitions, prevalence, risk-factors, and clinical outcomes. We assessed study quality (NIH Quality Assessment Tool) and levels of evidence (Oxford criteria). Of 146 identified reviews, 22 fulfilling selection criteria were included, yielding 30 studies involving 13,698 BD patients, of whom 3777 (27.6% [CI: 26.8-28.3]) were considered RC-BD, as defined in 14 reports by ≥4 recurrences/year within the past 12 months or in any year, without considering responsiveness to treatment. Random-effects meta-analytically pooled one-year prevalence was 22.3% [CI: 14.4-32.9] in 12 reports and lifetime prevalence was 35.5% [27.6-44.3] in 18 heterogenous reports. Meta-regression indicated greater lifetime prevalence of RC-BD among women than men (p=0.003). Association of RC-BD with suicide attempts, and unsatisfactory response to mood-stabilizers was supported by strong evidence (Level 1); associations with childhood maltreatment, mixed-features, female sex, and type-II BD had moderate evidence (Level 2). Other factors: genetic predisposition, metabolic disturbances or hypothyroidism, antidepressant exposure, predominant depressive polarity (Level 3), along with greater illness duration and immune-inflammatory dysfunction (Level 4) require further study. RC-BD was consistently recognized as having high prevalence (22.3%-35.5% of BD cases) and inferior treatment response. Identified associated factors can inform clinical practice. Long-term illness-course, metabolic factors, and optimal treatment require further investigation.

Risk of childhood trauma exposure and severity of bipolar disorder in Colombia

BACKGROUND

Bipolar disorder (BD) is higher in developing countries. Childhood trauma exposure is a common environmental risk factor in Colombia and might be associated with a more severe course of bipolar disorder in Low-Middle Income-Countries. We carried out the first case-control study in Colombia using a structural clinical interview and the Childhood Trauma Questionnaire-Short Form (CTQ-SF) to describe the prevalence and association between trauma exposure during childhood with a severe course of illness (early age onset, rapid cycling, ideation or suicide attempt, or ≥ 3 hospitalization) in a sample of BD patients.

RESULTS

A total of 114 cases and 191 controls evaluated showed the following results. Cases included 61.4% BD type I and 38.6% BD type II. The median age was 31.5 years (IQR, 75-24) for BD patients and 31 years old (IQR, 38-24) for healthy controls. A higher prevalence of childhood trauma was evidenced in cases compared to controls. Emotional abuse, physical abuse, sexual abuse, physical neglect and emotional neglect evidenced a strong association with severe bipolar disorder (OR = 3.42, p < .001; OR = 4.68, p < .001; OR = 4.30, p = .003; OR = 5.10, p < .001; OR = 5.64, p < .001, respectively).

CONCLUSIONS

This is the first association study between childhood trauma exposure as a higher risk for a severe course of illness in BD patients in Colombian. Our findings highlight the higher prevalence of childhood trauma in bipolar patients and the strong association of childhood trauma with severe bipolar disorder. These findings are relevant for screening and evaluating childhood trauma exposure during the course of BD patients.

Eating disorder features in bipolar disorder: clinical implications

BACKGROUND

Bipolar disorder (BD) is associated with elevated rates of eating disorders (EDs), but the nature and impact of specific ED features are unclear.

AIMS

This study sought to identify which ED features are common in BD, and whether these relate to quality of life (QoL) impairment and body mass index (BMI).

METHOD

A clinical sample of 73 adults with BD completed self-report measures of health, ED features, emotion regulation ability, impulsivity, and QoL.

RESULTS

Binge eating (45%), excessive dietary restriction (39%), overvaluation of weight/shape (51%), purging (16%) and driven exercise (27%) were common, and associated with a poorer clinical picture, including poorer QoL and poorer emotion regulation. Furthermore, regular binge eating episodes explained a significant proportion of variance in QoL impairment after controlling for other significant predictors. The best predictors of BMI were number of medical conditions, impulsivity and positive beliefs about binge eating.

CONCLUSIONS

ED features that may not meet criteria for a fully diagnosable ED - particularly overvaluation of weight/shape and binge eating - warrant greater attention, as they may still significantly worsen QoL. Future research should focus on modifying existing psychological interventions to better target ED features among individuals with BD and thereby improve clinical outcomes.

Characterization of rapid cycling bipolar patients presenting with major depressive episode within the BRIDGE-II-MIX study

OBJECTIVES

The "Bipolar Disorders: Improving Diagnosis, Guidance, and Education" (BRIDGE-II-Mix) study aimed to estimate the frequency of mixed states in patients with a major depressive episode (MDE) according to different definitions and to compare their clinical validity, looking into specific features such as rapid cycling (RC).

METHODS

Psychiatric symptoms, socio-demographic, and clinical variables were collected from a sample of 2811 MDE patients, of which 726 (25.8%) were diagnosed with bipolar disorder (BD). The characteristics of bipolar patients with RC (BD-RC) and without (BD-NRC) RC were compared.

RESULTS

Of 726 BD patients, 159 (21.9%) met DSM-5 criteria for RC. BD-RC group presented a higher number of lifetime depressive episodes (p < 0.001) with shorter duration of depressive episodes, and more psychiatric comorbidities, as well as higher rates of atypical features (p = 0.016) and concomitant (hypo)manic symptoms (irritable mood (p = 0.001); risky behavior (p = 0.005); impulsivity (p = 0.006); and psychomotor agitation (p = 0.029)). Patients with RC had a worse functioning (p = 0.033), more obesity (p = 0.003), and were significantly more likely to be treated with three or more drugs (p = 0.007).

CONCLUSIONS

Important clinical differences between bipolar patients with and without a RC include more depressive morbidity, higher incidence of anxiety disorders, addiction, bulimia, and borderline personality disorder, as well as atypical features during depression and symptoms such as irritability, risky behavior, impulsivity, and agitation. RC patients had poorer functioning than patients without RC, more obesity, and had to be treated with more drugs.

A comparison study of metabolic profiles, immunity, and brain gray matter volumes between patients with bipolar disorder and depressive disorder

Background

Previous individual studies have shown the differences in inflammatory cytokines and gray matter volumes between bipolar disorder (BD) and unipolar depression (UD). However, few studies have investigated the association between pro-inflammatory cytokines and differences in brain gray matter volumes between BD and UD.

Methods

In this study, 72 BD patients and 64 UD patients were enrolled, with comparable gender and age distributions (33.8% males and an average age of 39.3 ± 13.7 years). Each participant underwent metabolic profiling (including body mass index (BMI), glucose, triglyceride, high-density lipoprotein (HDL), leptin, insulin, adiponectin), pro-inflammatory cytokine (including soluble interleukin-6 receptor (sIL-6R), soluble interleukin-2 receptor (sIL-2R), C-reactive protein (CRP), soluble tumor necrosis factor receptor type 1 (sTNF-R1) examinations, and structural magnetic resonance imaging exams. Voxel-based morphometry was performed to investigate the gray matter volume differences between BD and UD patients. Correlations between pro-inflammatory cytokines and the gray matter volume difference were analyzed.

Results

Compared to UD patients, the BD group had significantly higher BMI, and higher levels of sIL-6R and sTNF-R1 than the UD patients. The BMI significantly correlated with the level of pro-inflammatory cytokines. Adjusted for age, sex, BMI, duration of illness and total intracranial volume, the BD individuals had significantly more reduced gray matter volumes over 12 areas: R. cerebellar lobule VIII, R. putamen, L. putamen, R. superior frontal gyrus, L. lingual gyrus, L. precentral gyrus, R. fusiform gyrus, L. calcarine, R. precuneus, L. inferior temporal gyrus, L. hippocampus, and L. superior frontal gyrus. These 12 gray matter volume differences between BP and UD patients negatively correlated with sIL-6R and sTNF-R1 levels.

Conclusions

Our results suggested that BD patients had higher BMI and pro-inflammatory cytokine levels in comparison to UD patients, especially IL-6 and sTNF-R1, which may contribute to greater gray matter reductions in BD patients in comparison to UD patients. The results support the neuro-inflammation pathophysiology mechanism in mood disorder. It is clinically important to monitor BMI, which, in this investigation, positively correlated with levels of inflammatory cytokines.

An immunological age index in bipolar disorder: A confirmatory factor analysis of putative immunosenescence markers and associations with clinical characteristics

OBJECTIVES

The study aims to generate an immunological age (IA) trait on the basis of immune cell differentiation parameters, and to test whether the IA is related to age and disease characteristics.

METHODS

Forty-four euthymic type I bipolar disorder patients were included in this study. Five immunosenescence-related parameters were assessed: proportions of late-differentiated cells (e.g., CD3+CD8+CD28-CD27- and CD3-CD19+IgD-CD27-), and the expression of CD69, CD71, and CD152 after stimulation. Confirmatory factor analysis was applied to generate an IA trait underling the 5 measures.

RESULTS

The best-fit model was constituted by 4 parameters that were each related to an underlying IA trait, with 1 cell population positively correlated (CD3+CD8+CD28-CD27- [λ = 0.544, where λ represents the loading of the parameter onto the IA trait] and 3 markers negatively correlated (CD69 [λ = -0.488], CD71 [λ = -0.833], and CD152 [λ = -0.674]). The IA trait was associated with chronological age (β = 0.360, p = .013) and the number of previous mood episodes (β = 0.426, p = .006). In a mediation model, 84% of the effect between manic episodes, and IA was mediated by body mass index.

CONCLUSION

In bipolar disorder type I, premature aging of the immune system could be reliably measured using an index that validated against chronological age, which was related to adverse metabolic effects of the disease course.

A qualitative study investigating bipolar patients' expectations of a lifestyle intervention: A self-management program

BACKGROUND

There is some evidence supporting the efficacy of lifestyle interventions in changing unhealthy habits and reduce the risk of developing comorbid conditions in Bipolar Disorder (BD).

AIMS

This qualitative study aimed to identify what an optimal lifestyle intervention would look like for individuals with BD.

METHODS

The current findings are based on one focus group and two paired interviews including a total of 10 individuals with BD (44.20 ± 11.11 years; 6 females). Groups' transcripts were analyzed using a narrative approach. Primary themes included facilitating factors and barriers, general content, outcomes, format of the intervention, and background factors.

RESULTS

Participants were in favor of a group-based lifestyle intervention as part of their usual treatment. The optimal group format would include 4 to 10 individuals, and comprise of 12 to 18 sessions lasting 1 to 1.5 h each. Accountability, motivation, interaction, and group activities were identified as contributing to the success of a lifestyle intervention.

CONCLUSIONS

This qualitative study provides important information regarding aspects of lifestyle intervention format and delivery for individuals with BD. We identified barriers and facilitating factors that should be addressed in health promotion interventions delivered within community mental health settings.

The differential association between history of childhood sexual abuse and body mass index in early and late stages of bipolar disorder

BACKGROUND

History of distal stressors such as childhood trauma is a well-established, non-specific vulnerability factor for multiple mental illnesses. The objective of this study was to investigate the possible association between history of childhood trauma and body mass index (BMI) in individuals in early and late stages of bipolar disorder (BD) and to verify is there was any difference in the association of sexual abuse history and obesity in early versus late stages of BD.

METHODS

Seventy-one euthymic BD-type I patients and eighty-one healthy controls were evaluated using the Childhood Trauma Questionnaire (CTQ) and body mass index (BMI). The association between BMI and CTQ total and subscores were evaluated dividing BD population in early-stage BD-I (less than 10 years since onset of disease) or late-stage BD (more than 10 years).

RESULTS

BD individuals had higher rates of history of childhood trauma than HC, especially sexual and emotional abuse, after adjusting for confounders. We observed a moderating effect of group on the association between BMI and sexual abuse (SA), but not on other modalities of childhood trauma, after adjustments for age, gender, ethnicity, education, alcohol and tobacco use.

LIMITATIONS

Our sample included a predominance of female individuals. The study cross-sectional design does not allow concluding a cause-effect relationship. In dividing the BD subgroups in relation with the time since the onset, we supposed that the natural course of BD is linear. The CTQ is subject to recall bias.

CONCLUSION

There is a relationship between childhood sexual abuse and BMI, but the direction of the association varies across the different stages of BD-I.

Identification and individualized prediction of clinical phenotypes in bipolar disorders using neurocognitive data, neuroimaging scans and machine learning

Diagnosis, clinical management and research of psychiatric disorders remain subjective - largely guided by historically developed categories which may not effectively capture underlying pathophysiological mechanisms of dysfunction. Here, we report a novel approach of identifying and validating distinct and biologically meaningful clinical phenotypes of bipolar disorders using both unsupervised and supervised machine learning techniques. First, neurocognitive data were analyzed using an unsupervised machine learning approach and two distinct clinical phenotypes identified namely; phenotype I and phenotype II. Second, diffusion weighted imaging scans were pre-processed using the tract-based spatial statistics (TBSS) method and 'skeletonized' white matter fractional anisotropy (FA) and mean diffusivity (MD) maps extracted. The 'skeletonized' white matter FA and MD maps were entered into the Elastic Net machine learning algorithm to distinguish individual subjects' phenotypic labels (e.g. phenotype I vs. phenotype II). This calculation was performed to ascertain whether the identified clinical phenotypes were biologically distinct. Original neurocognitive measurements distinguished individual subjects' phenotypic labels with 94% accuracy (sensitivity=92%, specificity=97%). TBSS derived FA and MD measurements predicted individual subjects' phenotypic labels with 76% and 65% accuracy respectively. In addition, individual subjects belonging to phenotypes I and II were distinguished from healthy controls with 57% and 92% accuracy respectively. Neurocognitive task variables identified as most relevant in distinguishing phenotypic labels included; Affective Go/No-Go (AGN), Cambridge Gambling Task (CGT) coupled with inferior fronto-occipital fasciculus and callosal white matter pathways. These results suggest that there may exist two biologically distinct clinical phenotypes in bipolar disorders which can be identified from healthy controls with high accuracy and at an individual subject level. We suggest a strong clinical utility of the proposed approach in defining and validating biologically meaningful and less heterogeneous clinical sub-phenotypes of major psychiatric disorders.

Obesity and obstetric complications are associated with rapid-cycling in Italian patients with bipolar disorder

BACKGROUND

Rapid cycling (RC) worsens the course of bipolar disorder (BD) being associated with poor response to pharmacotherapy. Previous studies identified clinical variables potentially associated with RCBD: however, in many cases, results were discordant or unreplicated. The present study was aimed to compare clinical variables between RC and non RC bipolar patients and to identify related risk factors.

METHODS

A sample of 238 bipolar patients was enrolled from 3 different community mental health centers. Descriptive analyses were performed on total sample, and patients were compared in terms of socio-demographic and clinical variables according to the presence of RC by multivariate analyses of variance (MANOVAs, continuous variables) or χ2 tests (qualitative variables). Binary logistic regression was performed to calculate odds ratios.

RESULTS

Twenty-eight patients (11.8%) had RC. The two groups were not different in terms of age, age at onset, gender distribution, type of family history, type of substance use disorder, history of antidepressant therapy, main antidepressant, psychotic symptoms, comorbid anxiety disorders, suicide attempts, thyroid diseases, diabetes, type of BD, duration of untreated illness, illness duration, duration of antidepressant treatment and GAF scores. In contrast, RC patients had more often a history of obstetric complications (p<0.05), obesity (p<0.05) and a trend to hypercholesterolemia (p=0.08). In addition, RC bipolar patients presented more frequently lifetime MDMA misuse (p<0.05) than patients without RC.

DISCUSSION

Findings from the present study seem to indicate that obesity and obstetric complications are risk factors for the development of RC in BD. In addition, lifetime MDMA misuse may be more frequent in RC bipolar patients.

Metabolic syndrome and adverse clinical outcomes in patients with bipolar disorder

BACKGROUND

Metabolic syndrome (MetS) is highly prevalent among patients with bipolar disorder. MetS may cause complications in the brain, but studies investigating MetS-associated clinical psychiatric outcomes remain scant.

METHODS

We enrolled clinically stable outpatients with bipolar disorder aged 18-65 years and performed anthropometric and fasting biochemical assessments to investigate MetS prevalence. We then performed clinical assessments by using the Young Mania Rating Scale for manic symptoms, the Montgomery-Åsberg Depression Rating Scale for depressive symptoms, the Positive and Negative Symptom Scale for psychotic symptoms, the Involuntary Movement Scale for tardive dyskinesia, the Barnes Akathisia Rating Scale for akathisia, the Udvalg for Kliniske Undersogelser for general side effects, the Schedule for Assessment of Insight for insight, the Global Assessment of Functioning scale for global functioning, and the Wisconsin Card Sorting Test (WCST) for cognitive executive function.

RESULTS

In total, 143 patients were enrolled and had a MetS prevalence of 29.4%. The patients treated with atypical antipsychotics plus mood stabilizers (36.3%) and atypical antipsychotics alone (36.0%) had a significantly higher prevalence of MetS than did those treated with mood stabilizers alone (10.5%; p = 0.012). According to multivariate regression analyses adjusted for age, sex, smoking status, bipolar disorder subtype (I or II), pharmacological treatment duration, and psychiatric medication, compared with patients without MetS, those with MetS had significantly more previous hospitalizations (p = 0.036), severer tardive dyskinesia (p = 0.030), poorer insight (p = 0.036), poorer global function (p = 0.046), and more impaired executive function (conceptual level response on the WCST; p = 0.042).

CONCLUSIONS

Our results indicated that patients with comorbid bipolar disorder and MetS have more adverse clinical outcomes than those without, with more hospitalizations, severer tardive dyskinesia, poorer insight, poorer global function, and more impaired executive function. Monitoring MetS is crucial for assessing not only physical burden, but also psychiatric outcomes.

Lifestyle interventions targeting dietary habits and exercise in bipolar disorder: A systematic review

BACKGROUND

Bipolar disorder (BD) is a serious mental illness associated with a high risk of medical comorbidities, long-term disability and premature death. This systematic review examined the current literature on therapeutic interventions targeting nutrition, physical activity and wellness in BD and collecting health-related measures such as mood and course of illness.

METHODS

Scopus (all databases), Pubmed and Ovid Medline were systematically searched with no language or year restrictions, up to June 2015, for studies focusing on lifestyle interventions in BD. Search terms were related to bipolar disorder, nutrition, physical activity, wellbeing, psychosocial interventions and course of illness. We hand searched content pages of Bipolar Disorders and Journal of Affective Disorders and checked references of relevant reviews and dissertations to identify additional papers.

RESULTS

After applying inclusion and exclusion criteria to identified hits, this literature search retrieved six papers. Overall findings point towards a beneficial role of lifestyle interventions on mood, weight, blood pressure, lipid profile, physical activity and overall wellbeing. Methodological limitations include small sample size, gender ratio imbalance, inconsistencies in terms of laboratory measures, and lack of randomized controlled trials and absence of follow-up and longitudinal studies to determine the benefits of these factors on clinical and functional outcomes over time

CONCLUSIONS

Lifestyle interventions in BD targeting nutrition, exercise, wellbeing alongside beliefs, coping strategies and attitudes towards health show promise in reducing the risk of comorbid ailments in BD. There is still a strong need for studies a) developing interventions which are informed by the patient's input and b) examining the effectiveness of such interventions targeting general wellness using well-controlled trials.

Impulsivity and comorbid traits: a multi-step approach for finding putative responsible microRNAs in the amygdala

Malfunction of synaptic plasticity in different brain regions, including the amygdala plays a role in impulse control deficits that are characteristics of several psychiatric disorders, such as ADHD, schizophrenia, depression and addiction. Previously, we discovered a locus for impulsivity (Impu1) containing the neuregulin 3 (Nrg3) gene, of which the level of expression determines levels of inhibitory control. MicroRNAs (miRNAs) are potent regulators of gene expression, and have recently emerged as important factors contributing to the development of psychiatric disorders. However, their role in impulsivity, as well as control of Nrg3 expression or malfunction of the amygdala, is not well established. Here, we used the GeneNetwork database of BXD mice to search for correlated traits with impulsivity using an overrepresentation analysis to filter for biologically meaningful traits. We determined that inhibitory control was significantly correlated with expression of miR-190b, -28a, -340, -219a, and -491 in the amygdala, and that the overrepresented correlated traits showed a specific pattern of coregulation with these miRNAs. A bioinformatics analysis identified that miR-190b, by targeting an Nrg3-related network, could affect synaptic plasticity in the amygdala, targeting bot impulsive and compulsive traits. Moreover, miR-28a, -340, -219a, and possibly -491 could act on synaptic function by determining the balance between neuronal outgrowth and differentiation. We propose that these miRNAs are attractive candidates of regulation of amygdala synaptic plasticity, possibly during development but also in maintaining the impulsive phenotype. These results can help us to better understand mechanisms of synaptic dysregulation in psychiatric disorders.