Uromodulin mRNA from Urinary Extracellular Vesicles Correlate to Kidney Function Decline in Type 2 Diabetes Mellitus

American Journal of Nephrology
Cindy M YamamotoKumar Sharma

Abstract

Extracellular vesicles (EVs) enclose mRNA derived from their cell of origin and are considered a source of potential biomarkers. We examined urinary EV mRNA from individuals with diabetic kidney disease (DKD), chronic kidney disease, type 2 diabetes (T2DM), and obese and healthy controls to determine if such biomarkers had the potential to classify kidney disease and predict patients at higher risk of renal function decline. A total of 242 participants enrolled in this study. Urinary EV mRNA from all subjects were isolated by a filter-based platform, and the expression of 8 target genes were determined by quantitative polymerase chain reaction (qPCR). Changes in estimated glomerular filtration rate (eGFR) in 161 T2DM patients were evaluated for 2 consecutive years and compared with EV RNA profiles at baseline. We observe that mild and severe DKD groups show a significant 3.2- and -4.4-fold increase in UMOD compared to healthy controls and expression increases linearly from healthy, diabetic, and DKD subjects. UMOD expression is significantly correlated to albumin creatinine ratio (ACR), eGFR, and HbA1c. Using linear discriminant analyses with mRNA from severe DKD and T2DM as training data, a multi-gene signature classified DKD ...Continue Reading

References

Jun 26, 2003·JAMA : the Journal of the American Medical Association·Holly J KramerChi-Yuan Hsu
Jul 15, 2004·Urological Research·Joana ChakrabortyDeana Solaiman
Aug 16, 2006·Annals of Internal Medicine·Andrew S LeveyUNKNOWN Chronic Kidney Disease Epidemiology Collaboration
Apr 25, 2009·Journal of the American Society of Nephrology : JASN·Stefania BrunoGiovanni Camussi
Apr 30, 2010·Kidney International·Kevin C MirandaLeileata M Russo
Oct 8, 2011·PLoS Genetics·Carsten A BögerUNKNOWN CKDGen Consortium
Sep 6, 2012·BMC Medical Genetics·Anna ReznichenkoUNKNOWN REGaTTA (REnal GeneTics TrAnsplantation) Groningen group
Mar 8, 2013·Diabetes Care·UNKNOWN American Diabetes Association
Aug 21, 2013·Journal of the American Society of Nephrology : JASN·Kumar SharmaRobert K Naviaux
Nov 14, 2013·PloS One·Federica BaruttaGabriella Gruden
Aug 3, 2014·Nephrology, Dialysis, Transplantation : Official Publication of the European Dialysis and Transplant Association - European Renal Association·Rajiv AgarwalPeter G Mitchell
Sep 25, 2014·Diabetes Care·Katherine R TuttleMark E Molitch
Oct 2, 2014·Journal of the American Society of Nephrology : JASN·Ming ZhanYashpal S Kanwar
Oct 14, 2014·Frontiers in Endocrinology·Luca MusanteHarry Holthofer
Dec 11, 2014·Kidney International·Mathias GorskiCarsten A Böger
Feb 26, 2015·Clinical Kidney Journal·Andrea RanghinoBenedetta Bussolati
May 15, 2015·Journal of Diabetes Investigation·Chi-Ho Lee, Karen Siu Ling Lam
Jan 13, 2016·American Journal of Nephrology·Krishnamurthy P GudehithluAshok K Singh
Mar 2, 2016·PloS One·Denis DelićRichard Urquhart

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Citations

Dec 27, 2018·Journal of Cellular and Molecular Medicine·Lin-Li LvBi-Cheng Liu
Apr 30, 2020·American Journal of Physiology. Cell Physiology·Nicole Noren Hooten, Michele K Evans
Sep 15, 2018·Oncotarget·Taku MurakamiHiroshi Harada
Jul 2, 2019·Journal of Extracellular Vesicles·Yongwei XiaoTianyu Zhong
Feb 29, 2020·International Journal of Molecular Sciences·Guangbi LiPin-Lan Li
Aug 28, 2020·Disease Markers·Christos MasaoutisStamatios Theocharis
Apr 18, 2019·Molecular and Cellular Biochemistry·Alyssa CobbsXueying Zhao
Jun 3, 2021·Journal of Clinical Medicine·Goren Saenz-PipaonCarmen Roncal
May 27, 2021·Journal of Extracellular Vesicles·Uta ErdbrüggerElena S Martens-Uzunova
Apr 20, 2021·Kidney Research and Clinical Practice·Sul A LeeTae-Hyun Yoo
Sep 3, 2021·Stem Cells International·Can JinHui Qian

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