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Identifying blood biomarkers for mood disorders using convergent functional genomics
H Le-Niculescu1, S M Kurian, N Yehyawi
1Laboratory of Neurophenomics, Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN 46202-4887, USA.
Molecular Psychiatry
|February 28, 2008
Summary
Researchers identified potential blood biomarkers for mood disorders, moving beyond subjective symptom reporting. This discovery could significantly aid in diagnosing mood states and developing new treatments for conditions like bipolar disorder.
Area of Science:
- Neuroscience
- Genomics
- Biomarker Discovery
Background:
- Mood disorders lack objective blood tests, relying on subjective patient and clinician assessments.
- This subjectivity hinders effective treatment and pharmaceutical development for mood disorders.
Purpose of the Study:
- To identify objective blood biomarkers for mood states in bipolar disorder.
- To establish a proof-of-principle for using blood gene expression to reflect brain function in mood disorders.
Main Methods:
- Measured whole-genome gene expression in blood from bipolar disorder patients (low vs. high mood).
- Integrated human blood data with mouse pharmacogenomic models, human genetic data, and postmortem brain data using convergent functional genomics.
- Utilized a Bayesian approach for cross-validation and prioritization of candidate genes.
Main Results:
- Identified candidate blood biomarker genes involved in myelination and growth factor signaling.
- Found prior evidence of differential expression for these genes in postmortem mood disorder brains.
- Developed a predictive score using 10 biomarkers demonstrating sensitivity and specificity for mood states in independent cohorts.
Conclusions:
- Blood gene expression analysis offers a viable approach to identify objective biomarkers for mood states.
- These blood biomarkers may provide an informative indicator of brain functioning and disease state in mood disorders.
- The identified biomarkers hold potential for improving diagnosis and treatment development for mood disorders.
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