Metabolomic Profile Predicts Development of Microalbuminuria in Individuals with Type 1 Diabetes

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Haukka , J K , Sandholm , N , Forsblom , C , Cobb , J E , Groop , P-H & Ferrannini , E 2018 , ' Metabolomic Profile Predicts Development of Microalbuminuria in Individuals with Type 1 Diabetes ' , Scientific Reports , vol. 8 , 13853 . https://doi.org/10.1038/s41598-018-32085-y

Title: Metabolomic Profile Predicts Development of Microalbuminuria in Individuals with Type 1 Diabetes
Author: Haukka, Jani K.; Sandholm, Niina; Forsblom, Carol; Cobb, Jeffrey E.; Groop, Per-Henrik; Ferrannini, Ele
Contributor: University of Helsinki, Doctoral Programme in Clinical Research
University of Helsinki, Research Programs Unit
University of Helsinki, Doctoral Programme in Clinical Research
Date: 2018-09-14
Language: eng
Number of pages: 10
Belongs to series: Scientific Reports
ISSN: 2045-2322
URI: http://hdl.handle.net/10138/248099
Abstract: Elevated urinary albumin excretion (microalbuminuria) is an early marker of diabetic nephropathy, but there is an unmet need for better biomarkers that capture the individuals at risk with higher accuracy and earlier than the current markers do. We performed an untargeted metabolomic study to assess baseline differences between individuals with type 1 diabetes who either developed microalbuminuria or remained normoalbuminuric. A total of 102 individuals progressed to microalbuminuria during a median follow-up of 3.2 years, whereas 98 sex-, age- and body mass index (BMI) matched nonprogressors remained normoalbuminuric during a median follow-up of 7.1 years. Metabolomic screening identified 1,242 metabolites, out of which 111 differed significantly between progressors and non-progressors after adjustment for age of diabetes onset, baseline glycosylated hemoglobin A1c (HbA(1c)), and albumin excretion rate (AER). The metabolites that predicted development of microalbumiuria included several uremic toxins and carnitine metabolism related molecules. Iterative variable selection indicated erythritol, 3-phenylpropionate, and N-trimethyl-5-aminovalerate as the best set of variables to predict development of microalbuminuria. A metabolomic index based on these metabolites improved the prediction of incident microalbuminuria on top of the clinical variables age of diabetes onset, baseline HbA1c and AER (ROCAUC = 0.842 vs 0.797), highlighting their ability to predict early-phase diabetic nephropathy.
Subject: STAGE RENAL-DISEASE
KIDNEY-DISEASE
GLYCEMIC CONTROL
RANDOM FORESTS
RISK
COMPLICATIONS
NEPHROPATHY
MORTALITY
FINNDIANE
ASSOCIATION
3111 Biomedicine
3121 General medicine, internal medicine and other clinical medicine
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