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JCI Insight|October 5, 2016
Tissue-specific metabolic reprogramming drives nutrient flux in diabetic complicationsKelli M Sas, Pradeep Kayampilly, Jaeman Byun, et al.
Kidney International Supplements|January 25, 2019
Strategies to improve monitoring disease progression, assessing cardiovascular risk, and defining prognostic biomarkers in chronic kidney diseaseMichelle J Pena, Peter Stenvinkel, Matthias Kretzler, et al.
Nature Communications|December 22, 2022
Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney diseaseLaura J Smyth, Emma H Dahlström, Anna Syreeni, et al.
JAMA|November 9, 2019
Development of Risk Prediction Equations for Incident Chronic Kidney DiseaseRobert G Nelson, Morgan E Grams, Shoshana H Ballew, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 30, 2003
Genome-scale functional profiling of the mammalian AP-1 signaling pathwaySumit K Chanda, Suhaila White, Anthony P Orth, et al.
JAMA|January 13, 2016
Multinational Assessment of Accuracy of Equations for Predicting Risk of Kidney Failure: A Meta-analysisNavdeep Tangri, Morgan E Grams, Andrew S Levey, et al.
Clinical Journal of the American Society of Nephrology : CJASN|March 6, 2015
Cross-Disciplinary Biomarkers Research: Lessons Learned by the CKD Biomarkers ConsortiumChi-Yuan Hsu, Shawn Ballard, Daniel Batlle, et al.
Diabetes Care|April 4, 2022
Urinary Proteomics Identifies Cathepsin D as a Biomarker of Rapid eGFR Decline in Type 1 DiabetesChristine P Limonte, Erkka Valo, Viktor Drel, et al.
Clinical Journal of the American Society of Nephrology : CJASN|May 21, 2016
Patient and Other Stakeholder Engagement in Patient-Centered Outcomes Research Institute Funded Studies of Patients with Kidney DiseasesDaniel Cukor, Lewis M Cohen, Elizabeth L Cope, et al.
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