Optimization of kidney dysfunction prediction in diabetic kidney disease using targeted metabolomics.

Isabel Ibarra-GonzálezIvette Cruz-BautistaOmar Yaxmehen Bello-ChavollaMarcela Vela-AmievaRigoberto Pallares-MéndezDiana Ruiz de Santiago Y NevarezMaría Fernanda Salas-TapiaXimena Rosas-FlotaMayela González-AcevedoAdriana Palacios-PeñalozaMario Morales-EspondaCarlos Alberto Aguilar-SalinasLaura Del Bosque-Plata

Published in: Acta diabetologica (2018)

Targeted metabolomics using blotted samples in filter paper is a simple, low-cost approach to identify outcomes associated with DKD; the inclusion of metabolomics improves predictive capacity of clinical models to identify kidney dysfunction and DKD-related outcomes.

Keyphrases

low cost
mass spectrometry
cancer therapy
oxidative stress
type diabetes
drug delivery
wound healing
glycemic control
adipose tissue