Electrochemomics Profiling Metabolic Dynamics in Biofluids

Area of Science:

• Electrochemistry
• Biomolecular analysis
• Diagnostic technology

Background:

• Conventional electrochemical sensing relies on predefined biomarkers, facing challenges with biofluid complexity and calibration biases.
• Significant electrochemical information at biofluid interfaces remains untapped for comprehensive metabolic profiling.

Purpose of the Study:

• To introduce an electrochemomics (EC-omics) approach for comprehensive profiling of biomolecule dynamics in biofluids during disease onset.
• To develop and validate a portable electrochemical platform for unbiased biofluid analysis.

Main Methods:

• Customized a portable electrochemical profiling platform utilizing carbon nanotube/bacterial cellulose (CNT/BC) electrodes for high sensitivity and low noise.
• Applied the EC-omics platform to analyze saliva for periodontitis diagnosis, creating an EC-omics database.
• Integrated intelligent algorithms with the EC-omics data for disease discrimination.

Main Results:

• The EC-omics platform accurately discriminated periodontitis in saliva samples with 93% accuracy.
• This performance surpassed untargeted nuclear magnetic resonance (89%) and traditional periodontitis biomarkers (70%).
• Demonstrated EC-omics feasibility in human urine and mouse serum, indicating broad applicability.

Conclusions:

• EC-omics offers a holistic and unbiased method for analyzing biofluid electrochemical properties for disease diagnosis.
• The developed platform shows significant potential for expanding the understanding of metabolic networks and developing novel decentralized healthcare diagnostic tools.