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.

Fig. Data analysis workflow for identification of anti-glycation active compounds using an automated program developed.

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

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