A metabolomics-based approach for predicting stages of chronic kidney disease.

No abstract is available for this paper.

• Publication year

  2014

• Venue

  Biochemical and Biophysical Research Communications - BBRC

• Publication date

  2014-03-07

• Fields of study

  Medicine, Chemistry

• Identifiers
  DOI 10.1016/j.bbrc.2014.02.021PMID 24530913
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Exploration of novel predictive markers in rat plasma of the early stages of chronic renal failure

  2014cited by this paper
• Performance of GFR equations in Japanese subjects

  2013cited by this paper
• Cystatin C versus creatinine in determining risk based on kidney function.

  2013cited by this paper
• Serum metabonomics study of adenine-induced chronic renal failure in rats by ultra performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry

  2012cited by this paper
• Cystatin C Identifies Chronic Kidney Disease Patients at Higher Risk for Complications

  2011cited by this paper
• Cystatin C identifies chronic kidney disease patients at higher risk for complications.

  2011cited by this paper
• Update of uremic toxin research by mass spectrometry.

  2011cited by this paper
• Metabolomic analysis of human plasma from haemodialysis patients

  2011cited by this paper
• Metabolomic search for uremic toxins as indicators of the effect of an oral sorbent AST-120 by liquid chromatography/tandem mass spectrometry.

  2010cited by this paper
• Metabolomic profiling of uremic solutes in CKD patients

  2010cited by this paper
• Metabolomic analysis of uremic toxins by liquid chromatography/electrospray ionization-tandem mass spectrometry.

  2010cited by this paper
• Comparisons of cystatin C with creatinine for evaluation of renal function in chronic kidney disease

  2009cited by this paper
• Chronic kidney disease and cardiovascular disease in a general Japanese population: the Hisayama Study.

  2005cited by this paper
• Definition and classification of chronic kidney disease: a position statement from Kidney Disease: Improving Global Outcomes (KDIGO).

  2005cited by this paper
• Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization.

  2004cited by this paper
• New insights in uremic toxins.

  2003cited by this paper
• Mechanism of increases in L-kynurenine and quinolinic acid in renal insufficiency.

  2000cited by this paper
• Mass spectrometry in the search for uremic toxins.

  1997cited by this paper

• NMR-based urinary biomarkers in pediatric primary mitochondrial disorders and chronic kidney disease: shared mitochondrial dysfunction, diverging biosignatures

  2026cites this paper
• Systematic evaluation of plasma and urine metabolites to predict adverse kidney-related outcomes in chronic kidney disease: The GCKD study

  2025cites this paper
• N‐lactoyl amino acids are potential biomarkers for insulin resistance and diabetic complications

  2025cites this paper
• Integrative multi-omics profiling for early diagnosis, stratification and personalized management of chronic kidney disease: a new paradigm

  2025cites this paper
• Metabolomics profiling for diagnosis of acute renal failure after cardiopulmonary bypass.

  2024cites this paper
• Cell and rat serum, urine and tissue metabolomics analysis elucidates the key pathway changes associated with chronic nephropathy and reveals the mechanism of action of rhein

  2023influential citation
• Novel Metabolites to Improve Glomerular Filtration Rate Estimation

  2023cites this paper
• Data Mining Techniques to Predict Chronic Kidney Diseases

  2021cites this paper
• A two‐stage neural network prediction of chronic kidney disease

  2021cites this paper
• Development of a Biomarker Panel to Distinguish Risk of Progressive Chronic Kidney Disease

  2020cites this paper
• Reliability of urinary charged metabolite concentrations in a large-scale cohort study using capillary electrophoresis-mass spectrometry

  2020cites this paper
• The relationship between blood metabolites of the tryptophan pathway and kidney function: a bidirectional Mendelian randomization analysis

  2020cites this paper
• Machine Learning Applied to Kidney Disease Prediction: Comparison Study

  2019cites this paper
• An update of urine and blood metabolomics in chronic kidney disease.

  2019cites this paper
• Data Mining Techniques to Predict Chronic Kidney Disease

  2019cites this paper
• Proteomic and metabolomic approaches in the search for biomarkers in chronic kidney disease.

  2019cites this paper
• Application of Chromatographic and Electrophoretic Techniques to Metabolomic Studies

  2019cites this paper
• A rat model of SHPT with bone abnormalities in CKD induced by adenine and a high phosphorus diet.

  2018cites this paper
• Chapter Three – The Role of Metabolomics in the Study of Kidney Diseases and in the Development of Diagnostic Tools

  2017cites this paper
• Metabolomics for clinical use and research in chronic kidney disease

  2017cites this paper
• Metabolomics and Gene Expression Analysis Reveal Down-regulation of the Citric Acid (TCA) Cycle in Non-diabetic CKD Patients

  2017cites this paper
• Orthogonal partial least squares/projections to latent structures regression-based metabolomics approach for identification of gene targets for improvement of 1-butanol production in Escherichia coli.

  2017cites this paper
• Estudio metabolómico de la enfermedad renal crónica: del modelo experimental al humano

  2017cites this paper
• The Role of Metabolomics in the Study of Kidney Diseases and in the Development of Diagnostic Tools

  2017cites this paper
• Quantification of cystatin-C in human serum by stable isotope dilution liquid chromatography electrospray ionization tandem mass spectrometry.

  2017cites this paper
• Blood, urine and faecal metabolite profiles in the study of adult renal disease.

  2016cites this paper
• Biomarkers of diet and nutritional health

  2016cites this paper
• Personalized Diet and Lifestyle Interventions on Lipids and Lipoproteins

  2016cites this paper
• Changes in serum metabolites with the stage of chronic kidney disease: Comparison of diabetes and non-diabetes.

  2016cites this paper
• The study on serum and urine of renal interstitial fibrosis rats induced by unilateral ureteral obstruction based on metabonomics and network analysis methods

  2016cites this paper
• Metabonomic biomarkers for risk factors of chronic kidney disease

  2016cites this paper
• Pharmacokinetics and pharmacodynamics study of rhein treating renal fibrosis based on metabonomics approach.

  2016influential citation
• Beneficial effects of neomangiferin on high fat diet-induced nonalcoholic fatty liver disease in rats.

  2015cites this paper
• A preliminary study on postmortem interval estimation of suffocated rats by GC-MS/MS-based plasma metabolic profiling

  2015cites this paper
• Metabolomics and Stages of Chronic Kidney Disease

  2015cites this paper
• LC-QTOF-MS-based targeted metabolomics of arginine-creatine metabolic pathway-related compounds in plasma: application to identify potential biomarkers in pediatric chronic kidney disease

  2015cites this paper
• Diet and lifestyle interventions on lipids: combination with genomics and metabolomics

  2014cites this paper
• A R T I C L E I N F O

  2012cites this paper