The DOI matches its Crossref record; 107 of the 107 references it cites were found in a registry or an index.
Biomarkers of Drug-Induced Kidney Toxicity
Open accessAbstract
Blood urea nitrogen and serum creatinine are imperfect markers of kidney function because they are influenced by many renal and nonrenal factors independent of kidney function. A biomarker that is released directly into the blood or urine by the kidney in response to injury may be a better early marker of drug-induced kidney toxicity than blood urea nitrogen and serum creatinine. Urine albumin and urine protein, as well as urinary markers kidney injury molecule-1 (KIM-1), β2-microglobulin (B2M), cystatin C, clusterin, and trefoil factor-3 (TFF-3) have been accepted by the Food and Drug Administration and European Medicines Agency as highly sensitive and specific urinary biomarkers to monitor drug-induced kidney injury in preclinical studies and on a case-by-case basis in clinical trials. Other biomarkers of drug-induced kidney toxicity that have been detected in the urine of rodents or patients include IL-18, neutrophil gelatinase-associated lipocalin, netrin-1, liver-type fatty acid–binding protein (L-FABP), urinary exosomes, and TIMP2 (insulin-like growth factor–binding protein 7)/IGFBP7 (insulin-like growth factor–binding protein 7), also known as NephroCheck, the first Food and Drug Administration–approved biomarker testing platform to detect acute kidney injury in patients. In the future, a combined use of functional and damage markers may advance the field of biomarkers of drug-induced kidney toxicity. Earlier detection of drug-induced kidney toxicity with a kidney-specific biomarker may result in the avoidance of nephrotoxic agents in clinical studies and may allow for earlier intervention to repair damaged kidneys.
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
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
Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury
Kashani, K., Al-Khafaji, A., Ardiles, T., Artigas, A., Bagshaw, S. M., Bell, M., Bihorac, A., Birkhahn, R., Cely, C. M., Chawla, L. S., et al. (2013) · Critical Care · doi:10.1186/cc12503 · Cited by 1,362
Ichimura, T., Bonventre, J. V., Bailly, V., Wei, H., Hession, C. A., Cate, R. L., & Sanicola, M. (1998) · Journal of Biological Chemistry · doi:10.1074/jbc.273.7.4135 · Cited by 1,265
Meersch, M., Schmidt, C., Hoffmeier, A., Van Aken, H., Wempe, C., Gerss, J., & Zarbock, A. (2017) · Intensive Care Medicine · doi:10.1007/s00134-016-4670-3 · Cited by 892
Treatment of acute renal failure
Star, R. A. (1998) · Kidney International · doi:10.1046/j.1523-1755.1998.00210.x · Cited by 816
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
Ichimura, T., Asseldonk, E. J. P. V., Humphreys, B. D., Gunaratnam, L., Duffield, J. S., & Bonventre, J. V. (2008) · Journal of Clinical Investigation · doi:10.1172/jci34487 · Cited by 765
Postoperative Biomarkers Predict Acute Kidney Injury and Poor Outcomes after Adult Cardiac Surgery
Parikh, C. R., Coca, S. G., Thiessen-Philbrook, H., Shlipak, M. G., Koyner, J. L., Wang, Z., Edelstein, C. L., Devarajan, P., Patel, U. D., Zappitelli, M., et al. (2011) · Journal of the American Society of Nephrology · doi:10.1681/asn.2010121302 · Cited by 754
Self-citationCystatin C as a marker of GFR—history, indications, and future research
Filler, G., Bökenkamp, A., Hofmann, W., Le Bricon, T., Martínez-Brú, C., & Grubb, A. (2005) · Clinical Biochemistry · doi:10.1016/j.clinbiochem.2004.09.025 · Cited by 734
Kidney injury molecule-1: a tissue and urinary biomarker for nephrotoxicant-induced renal injury
Ichimura, T., Hung, C. C., Yang, S. A., Stevens, J. L., & Bonventre, J. V. (2004) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.00285.2002 · Cited by 683
Cited by
Ronco, C., Bellomo, R., & Kellum, J. A. (2019) · The Lancet · doi:10.1016/s0140-6736(19)32563-2 · Cited by 1,910
Connor, S., Li, T., Qu, Y., Roberts, R. A., & Tong, W. (2024) · Drug Discovery Today · doi:10.1016/j.drudis.2024.103938 · Cited by 21
Metadata
- Authors
- Griffin, B. R., Faubel, S., & Edelstein, C. L.
- Venue
- Therapeutic Drug Monitoring
- Published
- 2019-04
- Volume
- 41
- Issue
- 2
- Pages
- 213-226
- ISSN
- 0163-4356 (ISSN-L)
- OpenAlex
- W2905047249
- Cited by
- 285
- References
- 107
- FWCI
- 10.75
- 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 Drug-Induced Kidney Toxicity. https://app.cochat.ai/papers/10.1097/ftd.0000000000000589
- The paper
- Griffin, B. R., Faubel, S., & Edelstein, C. L. (2019). Biomarkers of Drug-Induced Kidney Toxicity. Therapeutic Drug Monitoring. https://doi.org/10.1097/ftd.0000000000000589
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.
