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A New Method for Inducing a Depression-Like Behavior in Rats
Published on: February 22, 2018
Transcriptomic predictors of inflammation-induced depressed mood.
Joshua Hyong-Jin Cho1, Michael R Irwin2, Naomi I Eisenberger3
1Cousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, 300 UCLA Medical Plaza, Suite 3200A, Los Angeles, CA, 90095, USA. hjcho@mednet.ucla.edu.
Peripheral transcriptome profiles predict inflammation-induced depression. Baseline activity of immune and stress-related transcription factors (TFs) identified individuals at risk for depressed mood following endotoxin exposure.
Area of Science:
- Neuroscience
- Immunology
- Genetics
Background:
- Inflammation is implicated in depression pathophysiology.
- Identifying individuals susceptible to depression following inflammatory challenges is crucial for targeted interventions.
Purpose of the Study:
- To investigate whether leukocyte transcriptome profiles at baseline predict inflammation-induced depressed mood.
- To identify specific transcription factor (TF) activities associated with heightened depression risk after endotoxin administration.
Main Methods:
- A randomized, double-blind, placebo-controlled study involving 115 volunteers.
- Baseline genome-wide transcriptional profiling of peripheral blood mononuclear cells to assess TF activities.
- Administration of low-dose intravenous endotoxin and assessment of depressed mood using the Profile of Mood States.
Main Results:
- 36% of participants experienced increased depressed mood post-endotoxin.
- Baseline activity of TFs related to immune activation (NF-kB) and sympathetic activation (CREB) predicted increased depressed mood.
- Decreased baseline activity of glucocorticoid receptor (GR)-related TFs also predicted depressed mood.
Conclusions:
- Peripheral transcriptome profiles, specifically TF activities, can predict inflammation-induced depressed mood.
- These findings suggest a genomic approach for identifying individuals at high risk for the inflammatory subtype of depression.
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