Development of an automated program for discovering anti-glycation active compounds from natural resources

A team from Toho University successfully created an automated program to rapidly identify anti-glycation active compounds present in natural resources. In the future, this newly developed method is expected to be effectively utilized for the discovery of anti-glycation active compounds present in natural resources. The results of this study were published on May 3, 2025, in the academic journal Analytical Chemistry.

Key Highlights

• An automated program for discovering anti-glycation active compounds was developed.
• High-performance liquid chromatography–mass spectrometry (LC-MS) data from medicinal plant extracts were analyzed using the developed program, and 171 methylglyoxal (MGO)-trapping compounds were successfully identified with high confidence.
• The method developed in this study is expected to provide a valuable tool for the rapid identification of anti-glycation active compounds present in natural resources.

Journal
Analytical Chemistry, May 3, 2025 Volume 97, Issue 18, Pages 9836–9847

Title
A Carbonyl-Trapping Mechanism-Based Automatic Mining (CTM-AM) Strategy for Accelerating the Discovery of Natural Products with Anti-Advanced Glycation End Products Activity

Authors
Wenjun Qi, Mi Zhang, Takashi Kikuchi, Kouharu Otsuki, Wei Li

DOI:
10.1021/acs.analchem.5c00216