演題概要

1D-O1-1451

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機能性代謝物の効率的探索に向けた次世代メタボローム解析システムの開発

(¹九大生医研・ ²阪大微研)
^o和泉自泰¹・ 富安範行¹・ 高橋政友¹・ 鳥越大平¹・ 中田佳佑¹・ 池田和輝¹・ 中谷航太¹・ 秦康祐¹・ 山崎晶²・ 馬場健史¹

Recent advances in liquid chromatography high-resolution tandem mass spectrometry (LC/HRMS/MS) have enabled the detection of thousands of molecular weight-related ion peaks. However, less than 20% of these peaks can be identified as metabolites. Therefore, the remaining 80% of unidentified ion peaks may contain functional metabolites that regulate human biological systems. The innate immune cells have immunoreceptors [e.g., Toll-like receptors, C-type lectin like receptors (CLRs)] that recognize a variety of exogenous and endogenous ligands, including carbohydrate, lipid, and protein components of pathogens and self. Although the identification of non-self or self ligands recognized by immune sensors is an important research topic, the identification of immune receptor ligands has had to rely on individual, one-time, and serendipitous discoveries due to technical limitations, such as analytical detection sensitivity, structure determination accuracy, and interaction detection sensitivity. In this study, we report the development of an efficient functional metabolite search method by integrating a metabolite preparative and analytical system based on LC/HRMS/MS with bioassays, using the search for novel lipid ligands of CLRs as an example.