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To evaluate the prevalence and clinical correlates of lifetime migraine among patients with bipolar disorder (BD).In a cross-sectional study, we evaluated 721 adults with BD from the Mayo Clinic Bipolar Disorder Biobank and compared clinical correlates of those with and without a lifetime history of migraine. A structured clinical interview (DSM-IV) and a clinician-assessed questionnaire were utilized to establish a BD diagnosis, lifetime history of migraine, and clinical correlates.Two hundred and seven (29%) BD patients had a lifetime history of migraine. BD patients with migraine were younger and more likely to be female as compared to those without migraine (p values0.01). In a multivariate logistic regression model, younger age (OR=0.98, p0.01), female sex (OR=2.02, p0.01), higher shape/weight concern (OR=1.04, p=0.02), greater anxiety disorder comorbidities (OR=1.24, p0.01), and evening chronotype (OR=1.65, p=0.03) were associated with migraine. In separate regression models for each general medical comorbidity (controlled for age, sex, and site), migraines were significantly associated with fibromyalgia (OR=3.17, p0.01), psoriasis (OR=2.65, p=0.03), and asthma (OR=2.0, p0.01). Participants with migraine were receiving ADHD medication (OR=1.53, p=0.05) or compounds associated with weight loss (OR=1.53, p=0.02) at higher rates compared to those without migraine.Study design precludes determination of causality. Migraine subtypes and features were not assessed.Migraine prevalence is high in BD and is associated with a more severe clinical burden that includes increased comorbidity with pain and inflammatory conditions. Further study of the BD-migraine phenotype may provide insight into common underlying neurobiological mechanisms.

OBJECTIVES: Recognizing bipolar disorder as a multi-system metabolic condition driven, in part, by binge eating behavior and atypical depressive symptoms, this study aimed to quantify diet quality and evaluate clinical correlates in a bipolar disorder cohort. METHODS: Participants from the Mayo Clinic Bipolar Disorder Biobank (n = 734) completed the Rapid Eating Assessment for Participants – Shortened version (REAP-S) to determine diet quality. The average REAP-S score for a U.S. omnivorous diet is 32 (range 13 to 39) with higher scores indicating healthier diet. Demographic variables were collected in a standardized clinical questionnaire. Depressive symptoms were assessed by the Bipolar Inventory of Symptoms Scale. Cardiometabolic variables were retrieved from the electronic health record. Associations between continuous variables and REAP-S scores (total, ‘healthy foods’ and ‘avoidance of unhealthy foods’) were assessed using linear regression. RESULTS: Overall, our sample had a mean REAP-S score of 27.6 (4.9), suggestive of a lower diet quality than the average general population in the US. There was a significant inverse relationship between mean REAP-S lower scores with increased BMI, waist circumference, disordered eating and depression. All these associations were significantly stronger in female participants. LIMITATIONS: EHR cross-sectional data. CONCLUSIONS: Our data suggest unhealthy diet quality in bipolar disorder is associated with depression, obesity and cardiometabolic abnormalities. Additional work is encouraged to prospectively track mood and diet quality to further understand the bidirectional relationship and clarify if dietary interventions can positively impact mood. Further delineating potential sex differences in diet quality and depression may provide greater appreciation of modifiable risk factors for future cardiometabolic burden.

Bipolar disorder (BD) presents with high obesity and type 2 diabetes (T2D) and pathophysiological and phenomenological abnormalities shared with cardiometabolic disorders. Genomic studies may help define if they share genetic liability. This selective review of BD with obesity and T2D will focus on genomic studies, stress their current limitations and guide future steps in developing the field.We searched electronic databases (PubMed, Scopus) until December 2021 to identify genome-wide association studies, polygenic risk score analyses, and functional genomics of BD accounting for body mass index (BMI), obesity, or T2D.The first genome-wide association studies (GWAS) of BD accounting for obesity found a promising genome-wide association in an intronic gene variant of TCF7L2 that was further replicated. Polygenic risk scores of obesity and T2D have also been associated with BD, yet, no genetic correlations have been demonstrated. Finally, human-induced stem cell studies of the intronic variant in TCF7L2 show a potential biological impact of the products of this genetic variant in BD risk.The narrative nature of this review.Findings from BD GWAS accounting for obesity and their functional testing, have prompted potential biological insights. Yet, BD, obesity, and T2D display high phenotypic, genetic, and population-related heterogeneity, limiting our ability to detect genetic associations. Further studies should refine cardiometabolic phenotypes, test gene-environmental interactions and add population diversity.