Peripheral blood metabolome predicts mood change-related activity in mouse model of bipolar disorder.

ABSTRACT: Bipolar disorder is a major mental illness characterized by severe swings in mood and activity levels which occur with variable amplitude and frequency. Attempts have been made to identify mood states and biological features associated with mood changes to compensate for current clinical diagnosis, which is mainly based on patients' subjective reports. Here, we used infradian (a cycle > 24 h) cyclic locomotor activity in a mouse model useful for the study of bipolar disorder as a proxy for mood changes. We show that metabolome patterns in peripheral blood could retrospectively predict the locomotor activity levels. We longitudinally monitored locomotor activity in the home cage, and subsequently collected peripheral blood and performed metabolomic analyses. We then constructed cross-valida

SUBMITTER: Hagihara H 

PROVIDER: S-EPMC6902552 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature