Biomarkers for depression: recent insights, current challenges and future prospects

Area of Science:

• Neuroscience
• Psychiatry
• Biomarker Research

Background:

• Depression diagnosis and treatment lack precise biologic markers.
• Heterogeneity of depression and research methods hinder progress.
• Hundreds of potential biomarkers identified but not fully validated.

Purpose of the Study:

• To review the literature on depression biomarkers.
• To identify promising biomarker candidates and assessment methods.
• To highlight the need for novel approaches in biomarker research.

Main Methods:

• Literature review of existing research on depression biomarkers.
• Analysis of potential biomarkers across biological systems (inflammatory, neurotrophic, metabolic, neurotransmitter, neuroendocrine).
• Evaluation of various assessment techniques (genetic, epigenetic, transcriptomic, proteomic, metabolomic, neuroimaging).

Main Results:

• Inflammatory, neurotrophic, metabolic markers, and neurotransmitter/neuroendocrine components are promising candidates.
• Biomarkers can be assessed through genetic, epigenetic, transcriptomic, proteomic, metabolomic, and neuroimaging methods.
• Current research faces challenges due to depression's complexity and methodological variations.

Conclusions:

• Further development and systematic research are crucial for utilizing biomarkers in depression.
• Biomarkers hold promise for improving depression diagnosis, treatment stratification, and prognosis.
• Novel approaches are needed to overcome heterogeneity and advance biomarker discovery for depression.