Urine and plasma metabolites predict the development of diabetic nephropathy in individuals with Type 2 diabetes mellitus.
about
Early detection of diabetic kidney disease: Present limitations and future perspectivesA Systems Biology Overview on Human Diabetic Nephropathy: From Genetic Susceptibility to Post-Transcriptional and Post-Translational ModificationsEpithelial magnesium transport by TRPM6 is essential for prenatal development and adult survivalFrom molecular signatures to predictive biomarkers: modeling disease pathophysiology and drug mechanism of action.A panel of novel biomarkers representing different disease pathways improves prediction of renal function decline in type 2 diabetes.Metabolomics and renal disease.Urinary alpha-1 antitrypsin and CD59 glycoprotein predict albuminuria development in hypertensive patients under chronic renin-angiotensin system suppressionIntegration of Traditional and Metabolomics Biomarkers Identifies Prognostic Metabolites for Predicting Responsiveness to Nutritional Intervention against Oxidative Stress and Inflammation.Biomarkers in diabetic nephropathy: Present and future.Genetics of diabetic nephropathy: a long road of discovery.Prognostic clinical and molecular biomarkers of renal disease in type 2 diabetes.Metabolomics for clinical use and research in chronic kidney disease.The nephrologist of tomorrow: towards a kidney-omic future.The Promise of Mesenchymal Stem Cell Therapy for Diabetic Kidney Disease.Key elements of metabolomics in the study of biomarkers of diabetes.Serum metabolites predict response to angiotensin II receptor blockers in patients with diabetes mellitus.Metabonomics revealed xanthine oxidase-induced oxidative stress and inflammation in the pathogenesis of diabetic nephropathy.Targeted metabolome profiling by dual-probe microdialysis sampling and treatment using Gardenia jasminoides for rats with type 2 diabetes.Metabolomics reveal mitochondrial and fatty acid metabolism disorders that contribute to the development of DKD in T2DM patients.Metabolomics window into diabetic complications.Evolutionarily derived networks to inform disease pathways.Inhibiting aerobic glycolysis suppresses renal interstitial fibroblast activation and renal fibrosis.Systematic Evaluation of Non-Uniform Sampling Parameters in the Targeted Analysis of Urine Metabolites by 1H,1H 2D NMR Spectroscopy.Metabolomic Profile Predicts Development of Microalbuminuria in Individuals with Type 1 DiabetesAmino acid starvation promotes podocyte autophagy through mammalian target of rapamycin inhibition and transcription factor EB activation
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P2860
Urine and plasma metabolites predict the development of diabetic nephropathy in individuals with Type 2 diabetes mellitus.
description
2014 nî lūn-bûn
@nan
2014 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2014年の論文
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2014年学术文章
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2014年学术文章
@zh-cn
2014年学术文章
@zh-hans
2014年学术文章
@zh-my
2014年学术文章
@zh-sg
2014年學術文章
@yue
name
Urine and plasma metabolites p ...... with Type 2 diabetes mellitus.
@ast
Urine and plasma metabolites p ...... with Type 2 diabetes mellitus.
@en
Urine and plasma metabolites p ...... with Type 2 diabetes mellitus.
@nl
type
label
Urine and plasma metabolites p ...... with Type 2 diabetes mellitus.
@ast
Urine and plasma metabolites p ...... with Type 2 diabetes mellitus.
@en
Urine and plasma metabolites p ...... with Type 2 diabetes mellitus.
@nl
prefLabel
Urine and plasma metabolites p ...... with Type 2 diabetes mellitus.
@ast
Urine and plasma metabolites p ...... with Type 2 diabetes mellitus.
@en
Urine and plasma metabolites p ...... with Type 2 diabetes mellitus.
@nl
P2093
P2860
P356
P1433
P1476
Urine and plasma metabolites p ...... with Type 2 diabetes mellitus
@en
P2093
D de Zeeuw
G Dallmann
H J Lambers Heerspink
M E Hellemons
R T Gansevoort
S J L Bakker
S S Roscioni
T Friedrich
P2860
P304
P356
10.1111/DME.12447
P577
2014-04-21T00:00:00Z