Literature DB >> 23873716

Biomarkers of cardiovascular stress and incident chronic kidney disease.

Jennifer E Ho1, Shih-Jen Hwang, Kai C Wollert, Martin G Larson, Susan Cheng, Tibor Kempf, Ramachandran S Vasan, James L Januzzi, Thomas J Wang, Caroline S Fox.   

Abstract

BACKGROUND: Growth differentiation factor-15 (GDF-15), soluble ST2 (sST2), and high-sensitivity troponin I (hsTnI) are emerging predictors of adverse clinical outcomes. We examined whether circulating concentrations are related to the development of kidney disease in the community.
METHODS: Plasma GDF-15, sST2, and hsTnI concentrations were measured in 2614 Framingham Offspring cohort participants (mean age 57 years, 54% women) at the sixth examination cycle (1995-1998). Associations of biomarkers with incident chronic kidney disease [CKD, eGFR <60 mL · min(-1) · (1.73 m(2)) (-1), n = 276], microalbuminuria (urinary albumin to creatinine ratio ≥25 mg/g in women and 17 mg/g in men, n = 191), and rapid decline in renal function [decline in eGFR ≥3 mL · min(-1) · (1.73 m(2)) (-1) per year, n = 237], were evaluated using multivariable logistic regression; P < 0.006 was considered statistically significant in primary analyses.
RESULTS: Participants were followed over a mean of 9.5 years. Higher plasma GDF-15 was associated with incident CKD [multivariable-adjusted odds ratio (OR) 1.9 per 1-U increase in log-GDF-15, 95% CI 1.6-2.3, P < 0.0001] and rapid decline in renal function (OR, 1.6; 95% CI, 1.3-1.8; P < 0.0001). GDF-15, sST2, and hsTnI had suggestive associations with incident microalbuminuria but did not meet the prespecified P-value threshold after multivariable adjustment. Adding plasma GDF-15 to clinical covariates improved risk prediction of incident CKD: the c-statistic increased from 0.826 to 0.845 (P = 0.0007), and categorical net reclassification was 6.3% (95% CI, 2.7-9.9%).
CONCLUSIONS: Higher circulating GDF-15 is associated with incident renal outcomes and improves risk prediction of incident CKD. These findings may provide insights into the mechanisms of renal injury.

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Year:  2013        PMID: 23873716      PMCID: PMC3972213          DOI: 10.1373/clinchem.2013.205716

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  38 in total

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Journal:  Circulation       Date:  2002-12-03       Impact factor: 29.690

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5.  Single-void urine samples can be used to estimate quantitative microalbuminuria.

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6.  Identification of serum soluble ST2 receptor as a novel heart failure biomarker.

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7.  Predictors of new-onset kidney disease in a community-based population.

Authors:  Caroline S Fox; Martin G Larson; Eric P Leip; Bruce Culleton; Peter W F Wilson; Daniel Levy
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8.  Endothelial dysfunction precedes development of microalbuminuria in IDDM.

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9.  An investigation of coronary heart disease in families. The Framingham offspring study.

Authors:  W B Kannel; M Feinleib; P M McNamara; R J Garrison; W P Castelli
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Review 10.  Kidney disease as a risk factor for development of cardiovascular disease: a statement from the American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention.

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  41 in total

1.  sST2 as a novel biomarker for the prediction of in-hospital mortality after coronary artery bypass grafting.

Authors:  Meagan E Stabler; Michael E Rezaee; Devin M Parker; Todd A MacKenzie; Andrew R Bohm; Anthony W DiScipio; David J Malenka; Jeremiah R Brown
Journal:  Biomarkers       Date:  2019-01-11       Impact factor: 2.658

2.  Growth Differentiation Factor-15 and Risk of CKD Progression.

Authors:  Viji Nair; Cassianne Robinson-Cohen; Michelle R Smith; Keith A Bellovich; Zeenat Yousuf Bhat; Maria Bobadilla; Frank Brosius; Ian H de Boer; Laurent Essioux; Ivan Formentini; Crystal A Gadegbeku; Debbie Gipson; Jennifer Hawkins; Jonathan Himmelfarb; Bryan Kestenbaum; Matthias Kretzler; Maria Chiara Magnone; Kalyani Perumal; Susan Steigerwalt; Wenjun Ju; Nisha Bansal
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Review 3.  Emerging risk biomarkers in cardiovascular diseases and disorders.

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Journal:  J Lipids       Date:  2015-04-08

4.  The power of proteomics to monitor senescence-associated secretory phenotypes and beyond: toward clinical applications.

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5.  Cardiac and Stress Biomarkers and Chronic Kidney Disease Progression: The CRIC Study.

Authors:  Nisha Bansal; Leila Zelnick; Michael G Shlipak; Amanda Anderson; Robert Christenson; Rajat Deo; Christopher deFilippi; Harold Feldman; James Lash; Jiang He; John Kusek; Bonnie Ky; Stephen Seliger; Elsayed Z Soliman; Alan S Go
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6.  Biomarkers of cardiovascular stress and subclinical atherosclerosis in the community.

Authors:  Deepa M Gopal; Martin G Larson; James L Januzzi; Susan Cheng; Anahita Ghorbani; Kai C Wollert; Tibor Kempf; Ralph B D'Agostino; Joseph F Polak; Vasan S Ramachandran; Thomas J Wang; Jennifer E Ho
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7.  Serum GDF15 Levels Correlate to Mitochondrial Disease Severity and Myocardial Strain, but Not to Disease Progression in Adult m.3243A>G Carriers.

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8.  Longitudinal course of GDF15 levels before acute hospitalization and death in the general population.

Authors:  Juliette Tavenier; Ove Andersen; Jan O Nehlin; Janne Petersen
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9.  NT-proBNP and troponin T and risk of rapid kidney function decline and incident CKD in elderly adults.

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Journal:  Clin J Am Soc Nephrol       Date:  2015-01-20       Impact factor: 8.237

Review 10.  GDF15: A Hormone Conveying Somatic Distress to the Brain.

Authors:  Samuel M Lockhart; Vladimir Saudek; Stephen O'Rahilly
Journal:  Endocr Rev       Date:  2020-08-01       Impact factor: 19.871

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