Identification of serum metabolome signatures associated with retinal and renal complications of type 2 diabetes.

Yoshihiko TomofujiKen SuzukiToshihiro KishikawaNobuhiro ShojimaJun HosoeKyoko InagakiSunao MatsubayashiHisamitsu IshiharaHirotaka WatadaYasushi Ishigakinull nullHidenori InoharaYoshinori MurakamiKoichi MatsudaYukinori OkadaToshimasa YamauchiTakashi Kadowaki

Published in: Communications medicine (2023)

Our metabolome analysis identifies the serum metabolite features of the persons with type 2 diabetes with multiple complications, which could potentially be used as biomarkers.

Keyphrases

type diabetes
genome wide
risk factors
optical coherence tomography
diabetic retinopathy
cardiovascular disease
glycemic control
metabolic syndrome
optic nerve