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Metabolomics-based multidimensional network biomarkers for diabetic retinopathy identification in patients with type 2 diabetes mellitus.

Jing-Jing ZuoYuan LanHonglin HuXiangqing HouJushuang LiTao WangHang ZhangNana ZhangChengnan GuoFang PengShuzhen ZhaoYaping WeiChaonan JiaChao ZhengGuangyun Mao
Published in: BMJ open diabetes research & care (2021)
This study demonstrates that metabolomics-based MDNBs are associated with the presence of DR and capable of distinguishing DR from T2DM efficiently. Our data also provide new insights into the mechanisms of DR and the potential value for new treatment targets development. Additional studies are needed to confirm our findings.
Keyphrases
  • diabetic retinopathy
  • editorial comment
  • mass spectrometry
  • electronic health record
  • big data
  • metabolic syndrome
  • case control
  • psychometric properties
  • weight loss