The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Identification of a urine metabolomic signature in patients with advanced-stage chronic kidney disease
Open accessAbstract
The prevalence of chronic kidney disease (CKD) is increasing and frequently progresses to end-stage renal disease. There is an urgent demand to discover novel markers of disease that allow monitoring disease progression and, eventually, response to treatment. To identify such markers, and as a proof of principle, we determined if a metabolite signature corresponding to CKD can be found in urine. In the discovery stage, we analyzed the urine metabolome by NMR of 15 patients with CKD and compared that with the metabolome of 15 healthy individuals and found a classification pattern clearly indicative of CKD. A validation cohort of urine samples from an additional 16 patients with CKD and 15 controls was then analyzed by (Selected Reaction Monitoring) liquid chromatography-triple quadrupole mass spectrometry and indicated that a group of seven urinary metabolites differed between CKD and non-CKD urine samples. This profile consisted of 5-oxoproline, glutamate, guanidoacetate, α-phenylacetylglutamine, taurine, citrate, and trimethylamine N-oxide. Thus, we identified a panel of urine metabolites differentially present in urine that may help identify and monitor patients with CKD.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Metabolomic analysis of urine from 31 patients identified a group of seven metabolites that differed between chronic kidney disease (CKD) and non-CKD urine samples; TMAO concentrations in plasma were higher in CKD (92).”
From Trimethylamine N -Oxide, the Microbiome, and Heart and Kidney Disease (2017) · cites this paper as [92]
Citations
Cites
Regulation of glutathione synthesis
Lu, S. C.-L. (2008) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2008.05.005 · Cited by 2,131
Selected reaction monitoring for quantitative proteomics: a tutorial
Lange, V., Picotti, P., Domon, B., & Aebersold, R. H. (2008) · Molecular Systems Biology · doi:10.1038/msb.2008.61 · Cited by 1,396
Biomarkers in chronic kidney disease: a review
Fassett, R. G., Venuthurupalli, S. K., Gobe, G. C., Coombes, J. S., Cooper, M. A., & Hoy, W. E. (2011) · Kidney International · doi:10.1038/ki.2011.198 · Cited by 466
Phisitkul, S., Khanna, A., Simoni, J. M., Broglio, K. R., Sheather, S. J., Rajab, M. H., & Wesson, D. E. (2010) · Kidney International · doi:10.1038/ki.2009.519 · Cited by 287
Bain, M. A., Faull, R., Fornasini, G., Milne, R. W., & Evans, A. M. (2006) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfk056 · Cited by 282
Metabolomics in the study of kidney diseases
Weiss, R. H., & Kim, K. (2011) · Nature Reviews Nephrology · doi:10.1038/nrneph.2011.152 · Cited by 265
Role of glutamine in human carbohydrate metabolism in kidney and other tissues
Stümvoll, M., Perriello, G., Meyer, C., & Gerich, J. E. (1999) · Kidney International · doi:10.1046/j.1523-1755.1999.055003778.x · Cited by 230
Lauridsen, M. B., Hansen, S. H., Jaroszewski, J. W., & Cornett, C. (2007) · Analytical Chemistry · doi:10.1021/ac061354x · Cited by 179
Phenylacetylglutamine May Replace Urea as a Vehicle for Waste Nitrogen Excretion
Brusilow, S. W. (1991) · Pediatric Research · doi:10.1203/00006450-199102000-00009 · Cited by 173
Cited by
Sorted by citations
Thévenot, E., Roux, A., Xu, Y., Ezan, É., & Junot, C. (2015) · Journal of Proteome Research · doi:10.1021/acs.jproteome.5b00354 · Cited by 1,802
Targeting metabolic dysregulation for fibrosis therapy
Zhao, X. L., Kwan, J. Y. Y., Yip, K. W., Liu, P. P., & Liu, F. (2019) · Nature Reviews Drug Discovery · doi:10.1038/s41573-019-0040-5 · Cited by 537
Trimethylamine N -Oxide, the Microbiome, and Heart and Kidney Disease
Zeisel, S. H., & Warrier, M. (2017) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-071816-064732 · Cited by 475
Zoccali, C., Vanholder, R. C., Massy, Z. A., Ortíz, A., Sarafidis, P. A., Dekker, F. W., Fliser, D., Fouque, D. P., Heine, G. H., Jager, K. J., et al. (2017) · Nature Reviews Nephrology · doi:10.1038/nrneph.2017.52 · Cited by 464
Metabolomics for clinical use and research in chronic kidney disease
Hocher, B., & Adamski, J. (2017) · Nature Reviews Nephrology · doi:10.1038/nrneph.2017.30 · Cited by 339
Metadata
- Authors
- Posada-Ayala, M., Zubiri, I., Martin-Lorenzo, M., Sanz-Maroto, A., Molero, D., Gonzalez-Calero, L., Fernandez-Fernandez, B., de la Cuesta, F., Laborde, C. M., Barderas, M. G., Ortiz, A., Vivanco, F., & Alvarez-Llamas, G.
- Affiliations
- Instituto de Investigación Sanitaria Fundación Jiménez Díaz (ES)
- Universidad Complutense de Madrid (ES)
- Servicio de Salud de Castilla La Mancha (ES)
- Venue
- Kidney International
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 85
- Issue
- 1
- Pages
- 103-111
- ISSN
- 0085-2538 (ISSN-L)
- OpenAlex
- W2053835433
- Cited by
- 167
- References
- 22
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 10 · 2023: 13 · 2022: 14 · 2021: 11 · 2020: 24 · 2019: 15 · 2018: 14 · 2017: 15 · 2016: 16 · 2015: 10 · 2014: 10
- FWCI
- 5.37
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Kidney International (publishedVersion)
- PubMed (publishedVersion)
- Hispana (submittedVersion)
- Biblos-e Archivo (Universidad Autónoma de Madrid) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Health Sciences › Medicine › Nephrology › Acute Kidney Injury Research
- Keywords
- chronic kidney disease, urine metabolomics, metabolomic signatures, biomarkers, disease progression monitoring, pyroglutamic acid, glutamate, taurine, citrate, trimethylamine N-oxide, NMR metabolomics, multiple reaction monitoring
- MeSH terms
- Adult, Aged, Aged, 80 and over, Female, Humans, Kidney Failure, Chronic, Male, Middle Aged, Mass Spectrometry, Cohort Studies, Biomarkers, Case-Control Studies, Metabolome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
