Abstract

Bipolar disorder (BD) is a recurrent, episodic mood disorder for which there are no current diagnostic, prognostic or theranostic biomarkers. Two peripheral markers of the acute phase immune response, zinc and neopterin, are consistently associated with severity of depression in literature. Given gender differences in clinical presentation of BD and in inflammatory processes, we aimed to explore the interaction between gender and immune biomarkers to predict mood severity in BD. Participants with DSM IV BD I and II were recruited through the Pennsylvania Psychiatric Institute during an acute mood episode. Healthy controls (HC) were recruited through advertisements. Participants fasted for at least 6 h when blood was drawn for biomarkers. We found that zinc concentrations were significantly lower in the BD group at baseline (p<.05), and there was also a significant interaction between gender and zinc (p<.05), associated with depression severity. Also, we found a significant interaction between gender and neopterin, associated with mania severity (p<.05). We found that mania severity was associated with neopterin in men, while depression severity was positively associated with zinc in women. Our report bears replication in larger samples and highlights the potential for differences in the underlying pathophysiology between men and women with BD.

Highlights

  • Admixture analysis of age at onset (AAO) has helped delineating the clinical profile of early onset (EO) bipolar disorder (BD)

  • A higher number of EO BD type 2 (BD2) presented with a depression(hypo)mania-free interval (DMI) course, while a higher rate of mania-depression-free interval (MDI) course was found in EO BD type 1 (BD1)

  • Our study did not consider birth cohort effect in our analysis. To our knowledge, this is the first study aimed at comparing clinical correlates of EO between BD1 and BD2 patients’ populations using admixture analysis

Read more

Summary

Introduction

Admixture analysis of age at onset (AAO) has helped delineating the clinical profile of early onset (EO) bipolar disorder (BD). There is scarce evidence comparing the distributional properties of AAO as well as the clinical features of EO BD type 1 (BD1) with EO BD type 2 (BD2). To this end, we studied 515 BD patients (224 BD1, 279 BD2, and 12 BD not otherwise specified [NOS]) diagnosed according to DSM-IV-TR criteria. The magnitude of clinical heterogeneity might be reduced by studying subgroups of BD patients sharing specific clinical characteristics such as patterns of treatment response (Alda et al 2005), mood incongruent psychosis (Goes et al 2007), or early illness onset (Jamain et al 2014).

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call