Metabolomics method to comprehensively analyze amino acids in different domains

Area of Science:

• Biochemistry
• Metabolomics
• Proteomics

Background:

• Amino acids are crucial for metabolism and proteome function.
• Previous studies often analyzed free amino acids (FAAs) or proteins separately.
• A gap exists in connecting FAA measurements with individual amino acids within the proteome.

Purpose of the Study:

• To develop a comprehensive metabolomics method for analyzing amino acids across different domains.
• To investigate the utility of this method in diverse sample types and disease models.
• To establish a foundation for improved disease diagnosis and mechanistic studies through multi-domain amino acid analysis.

Main Methods:

• Developed a novel metabolomics approach to quantify amino acids in distinct cellular and serum domains.
• Analyzed free amino acids (FAAs) and insoluble-proteome amino acids (IPAAs) in response to Myc oncogene.
• Measured FAAs, free and soluble-proteome amino acids (FSPAAs), and IPAAs in serum for colon cancer profiling.

Main Results:

• Metabolic and proteomic amino acid profiles differed significantly under the same Myc condition, with combined analysis offering deeper biological insights.
• A penalized logistic regression model using amino acids from three domains (FAAs, FSPAAs, IPAAs) demonstrated superior sensitivity and specificity for colon cancer detection compared to individual domains.
• Metabolomics analysis of the protein pellet provides valuable biological information.

Conclusions:

• This study presents the first combined analysis of amino acids across multiple domains (metabolic and proteomic).
• The developed method offers a more comprehensive understanding of biological status and disease mechanisms.
• This approach holds promise for enhanced disease diagnosis and further mechanistic investigations.