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Proteomics Approach for Biomarker Research in Major Depression: Antidepressant Effects.

Tiao-Lai Huang^1,2, Li-Hua Lo³

¹Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.

Current Drug Metabolism

|April 7, 2018

Summary

Proteomics offers advanced tools for discovering major depression (MD) biomarkers in biological fluids. These methods aid in identifying biomarkers related to cellular processes and treatment effects.

Keywords:

Major depression acid hydrolysis antidepressants blood sample disease biomarker mass spectrometry proteomics.

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MRI-guided dmPFC-rTMS as a Treatment for Treatment-resistant Major Depressive Disorder

MRI-guided dmPFC-rTMS as a Treatment for Treatment-resistant Major Depressive Disorder

Published on: August 11, 2015

Area of Science:

Proteomics
Biomarker Discovery
Neuroscience

Background:

Major depression (MD) research increasingly utilizes proteomics for biomarker identification.
Biological fluid analysis for MD biomarkers commonly employs immuno-based and non-immuno-based technologies.

Purpose of the Study:

To review proteomics approaches for major depression biomarker research.
To discuss advances in proteomics for identifying biomarkers and assessing antidepressant treatment effects.

Main Methods:

Review of immuno-based methods (e.g., ELISA, radio-immunoassay) and non-immuno-based technologies (e.g., MALDI-TOF MS).
Utilizing bioinformatics tools like principal component analysis for proteomics data analysis.
Focus on biomarker discovery and validation in biological fluids.

Main Results:

Proteomics enables rapid screening and validation of disease biomarkers.
Advances in mass spectrometry are crucial for biomarker discovery.
Bioinformatics tools are essential for interpreting complex proteomics data.

Conclusions:

Proteomics holds significant promise for major depression biomarker discovery.
These technologies facilitate the identification of biomarkers linked to cellular metabolism and life cycle.
Understanding antidepressant effects through proteomics can advance treatment strategies.