The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Biomarkers of Acute Kidney Injury
Open accessAbstract
Acute kidney injury (AKI) is a common condition with a high risk of death. The standard metrics used to define and monitor the progression of AKI, such as serum creatinine and blood urea nitrogen levels, are insensitive, nonspecific, and change significantly only after significant kidney injury and then with a substantial time delay. This delay in diagnosis not only prevents timely patient management decisions, including administration of putative therapeutic agents, but also significantly affects the preclinical evaluation of toxicity thereby allowing potentially nephrotoxic drug candidates to pass the preclinical safety criteria only to be found to be clinically nephrotoxic with great human costs. Studies to establish effective therapies for AKI will be greatly facilitated by two factors: (a) development of sensitive, specific, and reliable biomarkers for early diagnosis/prognosis of AKI in preclinical and clinical studies, and (b) development and validation of high-throughput innovative technologies that allow rapid multiplexed detection of multiple markers at the bedside.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14
Lee, R. C., Feinbaum, R. L., & Ambros, V. (1993) · Cell · doi:10.1016/0092-8674(93)90529-y · Cited by 12,948
Chen, X., Ba, Y., Ma, L., Cai, X., Yin, Y., Wang, K., Guo, J., Zhang, Y., Chen, J., Guo, X., et al. (2008) · Cell Research · doi:10.1038/cr.2008.282 · Cited by 4,560
Wightman, B., Ha, I., & Ruvkun, G. (1993) · Cell · doi:10.1016/0092-8674(93)90530-4 · Cited by 4,292
A Mammalian microRNA Expression Atlas Based on Small RNA Library Sequencing
Landgraf, P., Rusu, M., Sheridan, R., Sewer, A., Iovino, N., Aravin, A., Pfeffer, S., Rice, A., Kamphorst, A. O., Landthaler, M., et al. (2007) · Cell · doi:10.1016/j.cell.2007.04.040 · Cited by 3,626
Protein biomarker discovery and validation: the long and uncertain path to clinical utility
Rifai, N., Gillette, M. A., & Carr, S. A. (2006) · Nature Biotechnology · doi:10.1038/nbt1235 · Cited by 1,867
Mishra, J., Ma, Q., Prada, A., Mitsnefes, M., Zahedi, K., Yang, J., Barasch, J., & Devarajan, P. (2003) · Journal of the American Society of Nephrology · doi:10.1097/01.asn.0000088027.54400.c6 · Cited by 1,749
Mori, K., Lee, H. T., Rapoport, D., Drexler, I. R., Foster, K., Yang, J., Schmidt-Ott, K. M., Chen, X., Li, J. Y., Weiss, S., et al. (2005) · Journal of Clinical Investigation · doi:10.1172/jci23056 · Cited by 954
The lipocalin protein family: structural and sequence overview
Flower, D. R., North, A. C. T., & Sansom, C. E. (2000) · Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology · doi:10.1016/s0167-4838(00)00148-5 · Cited by 868
Dual Action of Neutrophil Gelatinase–Associated Lipocalin
Schmidt-Ott, K. M., Mori, K., Li, J. Y., Kalandadze, A., Cohen, D. J., Devarajan, P., & Barasch, J. (2007) · Journal of the American Society of Nephrology · doi:10.1681/asn.2006080882 · Cited by 772
Declining Mortality in Patients with Acute Renal Failure, 1988 to 2002
Waikar, S. S., Curhan, G. C., Wald, R., McCarthy, E. P., & Chertow, G. M. (2006) · Journal of the American Society of Nephrology · doi:10.1681/asn.2005091017 · Cited by 587
Cited by
Next-generation biomarkers for detecting kidney toxicity
Bonventre, J. V., Vaidya, V. S., Schmouder, R., Feig, P., & Dieterle, F. (2010) · Nature Biotechnology · doi:10.1038/nbt0510-436 · Cited by 538
Self-citationA basic science view of acute kidney injury biomarkers
Charlton, J. R., Portilla, D., & Okusa, M. D. (2014) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gft510 · Cited by 286
Liu, J., Kumar, S., Dolzhenko, E., Alvarado, G. F., Guo, J., Lu, C., Chen, Y., Li, M., Dessing, M. C., Parvez, R. K., et al. (2017) · JCI Insight · doi:10.1172/jci.insight.94716 · Cited by 285
Endre, Z. H., Walker, R. J., Pickering, J. W., Shaw, G. M., Frampton, C. M., Henderson, S. J., Hutchison, R., Mehrtens, J. E., Robinson, J. M., Schollum, J. B. W., et al. (2010) · Kidney International · doi:10.1038/ki.2010.25 · Cited by 271
Insights into predicting diabetic nephropathy using urinary biomarkers
Khan, N. U., Lin, J., Liu, X., Li, H., Lu, W., Zhong, Z., Zhang, H., Waqas, M., & Shen, L. (2020) · Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics · doi:10.1016/j.bbapap.2020.140475 · Cited by 90
Metadata
- Authors
- Vaidya, V. S., Ferguson, M. A., & Bonventre, J. V.
- Venue
- Annual Review of Pharmacology and Toxicology
- Publisher
- Annual Reviews
- Published
- 2008-02-01
- Volume
- 48
- Issue
- 1
- Pages
- 463-493
- ISSN
- 0362-1642 (ISSN-L)
- 1545-4304
- OpenAlex
- W2146942628
- Cited by
- 729
- References
- 12
- FWCI
- 3.02
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Biomarkers of Acute Kidney Injury. https://app.cochat.ai/papers/10.1146/annurev.pharmtox.48.113006.094615
- The paper
- Vaidya, V. S., Ferguson, M. A., & Bonventre, J. V. (2008). Biomarkers of Acute Kidney Injury. Annual Review of Pharmacology and Toxicology. https://doi.org/10.1146/annurev.pharmtox.48.113006.094615
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
