Literature DB >> 30591223

Plasma endostatin predicts kidney outcomes in patients with type 2 diabetes.

Kinsuk Chauhan1, Divya Anna Verghese1, Veena Rao2, Lili Chan1, Chirag R Parikh1, Steven G Coca3, Girish N Nadkarni4.   

Abstract

Novel biomarkers are needed to predict kidney function decline in patients with type 2 diabetes, especially those with preserved glomerular filtration rate (GFR). There are limited data on the association of markers of endothelial dysfunction with longitudinal GFR decline. We used banked specimens from a nested case-control study in the Action to Control Cardiovascular Disease (ACCORD) trial (n=187 cases: 187 controls) and from a diverse contemporary cohort of type 2 diabetic patients from the Mount Sinai BioMe Biobank (n=871) to assess the association of plasma endostatin and kidney outcomes. We measured plasma endostatin at enrollment and examined its association with a composite kidney outcome of sustained 40% decline in estimated GFR or end-stage renal disease. Baseline plasma endostatin levels were higher in participants with the composite outcome. Each log2 increment in plasma endostatin was associated with approximately 2.5-fold higher risk of the kidney outcome (adjusted odds ratio [OR] 2.5; 95% confidence interval [CI] 1.5-4.3 in ACCORD and adjusted hazard ratio [HR] 2.6; 95% CI 1.8-3.8 in BioMe). Participants in the highest vs. lowest quartile of plasma endostatin had approximately four-fold higher risk for the kidney outcome (adjusted OR 3.6; 95% CI 1.8-7.3 in ACCORD and adjusted HR 4.4; 95% CI 2.3-8.5 in BioMe). The AUC for the kidney outcome improved from 0.74 to 0.77 in BioMe with the addition of endostatin to a base clinical model. Plasma endostatin was strongly associated with kidney outcomes in type 2 diabetics with preserved eGFR and improved risk discrimination over traditional predictors.
Copyright © 2018 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  albuminuria; chronic kidney disease; inflammation; kidney injury; risk stratification

Mesh:

Substances:

Year:  2018        PMID: 30591223      PMCID: PMC6342645          DOI: 10.1016/j.kint.2018.09.019

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  28 in total

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Authors:  Josyf C Mychaleckyj; Timothy Craven; Uma Nayak; John Buse; John R Crouse; Marshall Elam; Kent Kirchner; Daniel Lorber; Santica Marcovina; William Sivitz; Joann Sperl-Hillen; Denise E Bonds; Henry N Ginsberg
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