Weight cycling in bipolar disorder

Abstract Background An association between excess weight and/or weight fluctuations and cardiovascular morbidity and mortality is amply documented. Individuals with bipolar disorder (BD) are differentially affected by overweight/obesity, chaotic eating patterns (e.g., binge eating), as well as cardiovascular morbidity and mortality. Weight cycling (WCYC) is defined as a pattern of repetitive weight loss and gain. Methods We sought to determine the relationship between course of illness and BD and WCYC retrospectively as well whether these co-occurring phenotypes identify a biologically distinct subpopulation on the basis of having a unique inflammatory biomarker/biosignature profile. Sociodemographic, clinical, and inflammatory markers were gathered from a well-characterized cohort of actual euthymic adults with BD ( n =101) and a healthy control group ( n =48). Results Individuals with BD with a history of WCYC were provided evidence of a greater frequency of prior episodes (i.e., both manic and depressed), as well as of significantly higher levels of circulating IL-6 concentrations when compared to non-WCYC individuals with BD. The association persisted after adjusting for relevant covariates (e.g., BMI, age, number of prior episodes). Limitations Include the small control group, differing medication status and that all data relies on personal information. Nevertheless we tried to verify all data as far as clinical disclosure was available. Conclusion The results of this study indicate that adults with BD excessive in weight are not only more susceptible to a relapse-prone course of illness, but also are more likely to present with WCYC. The finding of elevated pro-inflammatory cytokines in this subpopulation may identify a separate subpopulation with greater susceptibility to cardiovascular disease. The overarching aim of personalized treatment and preventive strategies in BD begins with appropriate, empirically supported patient stratification. Our results provide preliminary support for stratifying BD cardiovascular risk on the basis of anthropometrics and WCYC.