Metabolomics and Machine Learning Identify Metabolic Differences and Potential Biomarkers for Frequent versus Infrequent Gout Flares.

Ming WangRui LiHan QiLei PangLingling CuiZhen LiuJie LuRong WangShuhui HuNingning LiangYongzhen TaoNicola Dalbeth Tony Raymond MerrimanRobert TerkeltaubHui-Yong Yin Changgui Li

Published in: Arthritis & rheumatology (Hoboken, N.J.) (2023)

Systematic metabolic alterations underlie InGF and FrGF, and distinct profiles are associated with differences in gout flare frequencies. Predictive modeling based on selected metabolites from metabolomics can differentiate InGF and FrGF.

Keyphrases

machine learning
mass spectrometry
uric acid
ms ms
artificial intelligence