Biomarker panels associated with progression of renal disease in type 1 diabetes.

ABSTRACT:

Aims/hypothesis

We aimed to identify a sparse panel of biomarkers for improving the prediction of renal disease progression in type 1 diabetes.

Methods

We considered 859 individuals recruited from the Scottish Diabetes Research Network Type 1 Bioresource (SDRNT1BIO) and 315 individuals from the Finnish Diabetic Nephropathy (FinnDiane) study. All had an entry eGFR between 30 and 75 ml min^-1[1.73 m]^-2, with those from FinnDiane being oversampled for albuminuria. A total of 297 circulating biomarkers (30 proteins, 121 metabolites, 146 tryptic peptides) were measured in non-fasting serum samples using the Luminex platform and LC electrospray tandem MS (LC-MS/MS). We investigated associations with final eGFR adjusted for baseline eGFR and with rapid progress

SUBMITTER: Colombo M 

PROVIDER: S-EPMC6677704 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature