Objectives
Metabolically based distinctions for disturbances in glucose and insulin may provide meaningful insights both clinically and mechanistically.
Methods
Data were derived from 352 subjects of previously completed clinical studies with a mood disorder (MD) (bipolar disorder: n = 179, major depressive disorder: n = 173) and 218 healthy controls from the Comprehensive Assessment of LongâTerm Effects of Reducing Intake of Energy. We conducted a factor analysis to replicate a priori dissociable factors informed by glucose and insulin levels and indices of insulin resistance and betaâcell function: elevated insulin and insulin resistance (âinsulinâIRâ), and increased fasting glucose and reduced insulin secretion (âglucotoxicityâ). Cluster analyses were conducted, separately in men and women, to evaluate the clinical relevance of subtyping individuals with MDs using insulinâIR and glucotoxicity (GT) factor scores.
Results
Factors insulinâIR and GT explained 92.64% and 92.09% of the variance in men and women respectively. Three clusters were replicated in men and women separately: metabolically healthy (MH), high GT, and insulinâresistant (IR). After adjusting for age, gender, study cohort, MD diagnosis, and antipsychotics use, body mass index (BMI) and mean arterial pressure were higher in IRâ vs GTâ or MHâclustered individuals; GTâclustered individuals had more metabolic syndrome components and higher Câreactive protein. Glucotoxicâclustered subjects reported greater impairments in cognitive function and global functioning when compared to MHâ or IRâclustered subjects.
Conclusions
Using simple, costâeffective, and accessible measures, we identified stable, genderâconvergent, subgroups of individuals that significantly diverged on measures of cognitive dysfunction, selfâreported anhedonia, functional disability, BMI, and blood pressure.