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Biomarkers for bipolar disorder: current status and challenges ahead
Antonio L Teixeira1,2, Gabriela D Colpo1, Gabriel R Fries1
1a Department of Psychiatry & Behavioral Sciences , McGovern Medical School, UT Health , Houston , TX , USA.
Expert Review of Neurotherapeutics
|November 20, 2018
Summary
Biomarkers for bipolar disorder (BD) are crucial for personalized treatment. Current research reviews peripheral, genetic, neuroimaging, and neurophysiological markers to improve patient management and prognosis.
Area of Science:
- Psychiatry
- Neuroscience
- Genetics
Background:
- Bipolar disorder (BD) presents significant clinical and pathophysiological heterogeneity.
- Personalized medicine approaches hold promise for improving BD patient management.
- Identifying and validating biomarkers is essential for advancing personalized care in BD.
Purpose of the Study:
- To critically review the current status of various biomarkers for bipolar disorder.
- To discuss challenges hindering the advancement of biomarker research in BD.
- To explore the potential of biomarkers in stratifying patients for tailored treatment.
Main Methods:
- Comprehensive literature review of peripheral, genetic, neuroimaging, and neurophysiological biomarkers for BD.
- Critical analysis of the evidence and challenges associated with each biomarker category.
- Synthesis of expert commentary on the current diagnostic and management landscape.
Main Results:
- No definitive laboratory or complementary tests are currently recommended for BD diagnosis or management.
- Multiple biomarker panels are likely to be instrumental in patient stratification.
- Biomarker panels may aid in classifying patients based on clinical stage, treatment response, and prognosis.
Conclusions:
- Biomarker research is fundamental for the development of personalized approaches in bipolar disorder.
- Future advancements in BD management will likely rely on multi-modal biomarker strategies.
- Stratification using biomarker panels offers a promising avenue for optimizing therapeutic interventions and predicting outcomes in BD.
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