추윤태 (인제대학교)

곽영범 (인제대학교)

추윤태 (인제대학교)

한장미 (인제대학교)

곽영범 (인제대학교)

Caenorhabditis elegans (C. elegans) is extensively used as an in vivo experimental model because of its short life cycle, ease of laboratory handling, and the high degree of conservation of disease-related pathways shared with humans. As a whole-organism model, it provides an efficient platform for genome-based drug discovery, high-throughput screening, and target validation. Accordingly, targeted metabolomic analysis using C. elegans has become a valuable strategy for investigating xenobiotic metabolism and biological responses during the early stages of preclinical research. In this study, a targeted GC-MS/MS metabolomics platform was established to construct a reference metabolomic dataset for C. elegans. Following optimization of the analytical procedure, endogenous metabolites extracted from C. elegans were identified by comparison with the NIST and Wiley mass spectral libraries. The optimized analytical method enabled sensitive and reproducible detection of metabolites, including amino acids, fatty acids, neurotransmitters, purine metabolites, and organic acids. The resulting metabolomic profiles provide a reference dataset for future metabolomics studies using C. elegans. The established platform provides a robust analytical framework for investigating metabolic alterations induced by microplastic (MP) exposure, with particular emphasis on lipid metabolic dysregulation, oxidative stress, and impaired tricarboxylic acid (TCA) cycle function.​