Novel integrative genomic tool for interrogating lithium response in bipolar disorder.

We developed a novel integrative genomic tool called GRANITE (Genetic Regulatory Analysis of Networks Investigational Tool Environment) that can effectively analyze large complex data sets to generate interactive networks. GRANITE is an open-source tool and invaluable resource for a variety of genomic fields. Although our analysis is confined to static expression data, GRANITE has the capability of evaluating time-course data and generating interactive networks that may shed light on acute versus chronic treatment, as well as evaluating dose response and providing insight into mechanisms that underlie therapeutic versus sub-therapeutic doses or toxic doses. As a proof-of-concept study, we investigated lithium (Li) response in bipolar disorder (BD). BD is a severe mood disorder marked by cycles of mania and depression. Li is one of the most commonly prescribed and decidedly effective treatments for many patients (responders), although its mode of action is not yet fully understood, nor is it effective in every patient (non-responders). In an in vitro study, we compared vehicle versus chronic Li treatment in patient-derived lymphoblastoid cells (LCLs) (derived from either responders or non-responders) using both microRNA (miRNA) and messenger RNA gene expression profiling. We present both Li responder and non-responder network visualizations created by our GRANITE analysis in BD. We identified by network visualization that the Let-7 family is consistently downregulated by Li in both groups where this miRNA family has been implicated in neurodegeneration, cell survival and synaptic development. We discuss the potential of this analysis for investigating treatment response and even providing clinicians with a tool for predicting treatment response in their patients, as well as for providing the industry with a tool for identifying network nodes as targets for novel drug discovery.

Sex differences in response to oral amitriptyline in three animal models of depression in C57BL/6J mice.

RATIONALE: Knockout and transgenic mice provide a tool for assessing the mechanisms of action of antidepressants. The effectiveness of oral administration of the tricyclic antidepressant amitriptyline (AMI) was assessed in C57BL/6J (B6) mice, a common genetic background on which knockout and transgenic mice are maintained. OBJECTIVES: We determined whether oral AMI would have antidepressant-like effects in B6 mice and whether these effects varied according to sex, duration of treatment, and the depression model utilized. METHODS: Male and female B6 mice were administered AMI (200 microg/ml) in the drinking water as the sole source of fluid, along with 2% saccharin to increase palatability. Control mice were administered 2% saccharin alone. Mice were assessed for responsiveness to AMI in the tail suspension test (TST), the forced swim test (FST), and the learned helplessness (LH) paradigm. RESULTS: In the TST, AMI decreased immobility time regardless of sex or duration of treatment. AMI also decreased immobility time in the FST, but chronic treatment was necessary for full efficacy in both sexes. In the LH paradigm, both subchronic and chronic AMI treatment decreased escape latencies in female mice, but AMI was effective only after chronic treatment in males. The antidepressant-like effects of AMI could not be explained by differences in locomotor activity because activity levels were not altered by antidepressant treatment. CONCLUSIONS: Overall, oral AMI administration provides a valid model for behavioral assessment of antidepressant-like effects in knockout and transgenic mice maintained on a B6 background, but the effectiveness of oral AMI varies depending on sex, duration of treatment, and the depression model used.