Multifunctional amino acids empowering bifunctional biosensing platform for depression study.

Area of Science:

• Biomedical Engineering
• Neuroscience
• Analytical Chemistry

Background:

• Objective diagnostic methods for depression are lacking.
• Biosensors offer a promising avenue for quantitative disease detection and drug discovery.
• Glucocorticoid receptor alpha (GRα) is a key biomarker for depression.

Purpose of the Study:

• To develop a simple, accurate electrochemical biosensor for detecting trace GRα.
• To utilize the biosensor for depression diagnosis and drug discovery.
• To establish a practical platform for quantitative depression assessment.

Main Methods:

• An electrochemical biosensor was developed using amino-ion graphene oxide (IL-rGO) and amino acid-coated gold nanoparticles (AA-AuNPs).
• Green synthesis was employed for the nanocomposite material.
• The biosensor was optimized and tested for GRα detection in hippocampus and blood cells.

Main Results:

• The biosensor achieved a low limit of detection (0.283 pg mL⁻¹).
• It successfully identified GRα differences in healthy and depressive rats.
• The sensor demonstrated effectiveness in detecting GRα changes with and without fluoxetine treatment.

Conclusions:

• The developed electrochemical biosensor is highly sensitive, simple, and labor-saving.
• It presents a promising all-in-one platform for depression diagnosis.
• This technology holds potential for advancing depression-related drug discovery.