A panel of novel biomarkers representing different disease pathways improves prediction of renal function decline in type 2 diabetes.

ABSTRACT:

Objective

We aimed to identify a novel panel of biomarkers predicting renal function decline in type 2 diabetes, using biomarkers representing different disease pathways speculated to contribute to the progression of diabetic nephropathy.

Research design and methods

A systematic data integration approach was used to select biomarkers representing different disease pathways. Twenty-eight biomarkers were measured in 82 patients seen at an outpatient diabetes center in The Netherlands. Median follow-up was 4.0 years. We compared the cross-validated explained variation (R2) of two models to predict eGFR decline, one including only established risk markers, the other adding a novel panel of biomarkers. Least absolute shrinkage and selection operator (LASSO) was used for model est

SUBMITTER: Pena MJ 

PROVIDER: S-EPMC4431870 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature