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Bipolar Disorder

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Bipolar disorder is a chronic mental health condition marked by significant mood fluctuations, including episodes of mania and depression. Elevated energy levels, heightened mood or irritability, impulsive behavior, reduced sleep needs, rapid speech, racing thoughts, inflated self-esteem, and distractibility characterize mania. Individuals with bipolar disorder often alternate between depressive and manic states, with periods of emotional stability lasting an average of six months to a year.
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Related Experiment Video

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Developing a Rat Model for Bipolar Disorder
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Partial rodent genetic models for bipolar disorder.

Guang Chen1, Ioline D Henter, Husseini K Manji

  • 1Mood and Anxiety Disorders Program, National Institute of Mental Health, National Institutes of Health, Bldg. 35, Rm. 1C912, 35 Convent Drive, Bethesda, MD, USA, guangchen@mail.nih.gov.

Current Topics in Behavioral Neurosciences
|September 20, 2014
PubMed
Summary
This summary is machine-generated.

Researchers developed partial genetic models in mice to study bipolar disorder (BPD) components like depression and mania. These models offer new tools for understanding BPD and developing treatments.

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Area of Science:

  • Neuroscience
  • Genetics
  • Pharmacology

Background:

  • Bipolar disorder (BPD) is a complex episodic illness with depression, mania, and mood instability.
  • Existing rodent models do not fully capture the BPD phenotype.
  • Partial genetic models are emerging to study specific BPD components.

Purpose of the Study:

  • To review and discuss partial genetic models of BPD in mice.
  • To highlight their utility in understanding BPD pathophysiology.
  • To explore their application in drug development for BPD.

Main Methods:

  • Utilizing knockout (KO) and overexpression mouse models for specific genes (e.g., p11, VMAT2, NCAM, CLOCK, GR, Bcl-2, BAG1).
  • Employing behavioral tests to assess depression-like (anhedonia), mania-like (excessive excitement), and mood swing vulnerability/resilience phenotypes.
  • Examining the effects of pharmacological interventions (antidepressants, mood stabilizers, antipsychotics) on these phenotypes.

Main Results:

  • p11, VMAT2, and NCAM KO mice show anhedonia, responsive to antidepressants.
  • Mutant CLOCK, GluR6, and ERK1 KO mice exhibit mania-like behaviors, partially responsive to mood stabilizers/antipsychotics.
  • GR, Bcl-2 KO, and BAG1 KO mice display mood swing vulnerability, while BAG1 overexpressing mice show resilience.

Conclusions:

  • Partial genetic models offer valuable tools for dissecting BPD components at molecular and circuit levels.
  • These models facilitate the study of interrelations between different BPD features.
  • They serve as complementary tools for advancing BPD drug discovery and development.