Metabolomic integration with machine learning identifies potential biomarkers for type 2 diabetes mellitus and diabetic retinopathy progression

Metabolomic integration with machine learning identifies potential biomarkers for type 2 diabetes mellitus and diabetic retinopathy progression

[Objective] To identify aqueous humor metabolic profiles associated with the progression of type 2 diabetes mellitus(T2DM) and diabetic retinopathy (DR), aiming to discover potential biomarkers for DR progression. Ultra-high performance liquid chromatography tandem quadrupole-electrostatic field orb...

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Main Authors: PANG Yuhui, LUO Chaokun, ZHANG Qingruo, ZHANG Xiongze, LIAO Nanying, JI Yuying, MI Lan, GAN Yuhong, SU Yongyue, WEN Feng, CHEN Hui
Format: Article
Language:zho
Published: Zhongshan Ophthalmic Center, Sun Yat-sen University 2025-04-01
Series:Yanke Xuebao
Subjects:
type 2 diabetes mellitus
diabetic retinopathy
metabolomics
biomarkers
machine learning
Online Access:https://journal.gzzoc.com/Ykxb/Journal/ArticleShow.aspx?AID=5331
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