The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Biomarkers of AKI: A Review of Mechanistic Relevance and Potential Therapeutic Implications
Open accessAbstract
AKI is a common clinical condition associated with a number of adverse outcomes. More timely diagnosis would allow for earlier intervention and could improve patient outcomes. The goal of early identification of AKI has been the primary impetus for AKI biomarker research, and has led to the discovery of numerous novel biomarkers. However, in addition to facilitating more timely intervention, AKI biomarkers can provide valuable insight into the molecular mechanisms of this complex and heterogeneous disease. Furthermore, AKI biomarkers could also function as molecular phenotyping tools that could be used to direct clinical intervention. This review highlights the major studies that have characterized the diagnostic and prognostic predictive power of these biomarkers. The mechanistic relevance of neutrophil gelatinase-associated lipocalin, kidney injury molecule 1, IL-18, liver-type fatty acid-binding protein, angiotensinogen, tissue inhibitor of metalloproteinase-2, and IGF-binding protein 7 to the pathogenesis and pathobiology of AKI is discussed, putting these biomarkers in the context of the progressive phases of AKI. A biomarker-integrated model of AKI is proposed, which summarizes the current state of knowledge regarding the roles of these biomarkers and the molecular and cellular biology of AKI.
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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
Goetz, D. H., Holmes, M. A., Borregaard, N., Bluhm, M. E., Raymond, K. N., & Strong, R. K. (2002) · Molecular Cell · doi:10.1016/s1097-2765(02)00708-6 · Cited by 1,355
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
Wajapeyee, N., Serra, R. W., Zhu, X., Mahalingam, M., & Green, M. R. (2008) · Cell · doi:10.1016/j.cell.2007.12.032 · Cited by 903 · cited 1×
“This hypothesis is grounded in data from in vitro studies of colon and breast cancer cell lines, which have shown the capacity of IGFBP7 to induce G1 cell cycle arrest and senescence, as well as a study of melanocyte and melanoma cell lines, which has shown that IGFBP7 regulates proliferation and senescence (80,81).”
BackgroundAn Iron Delivery Pathway Mediated by a Lipocalin
Yang, J., Goetz, D., Li, J.-Y., Wang, W., Mori, K., Setlik, D., Du, T., Erdjument-Bromage, H., Tempst, P., Strong, R., et al. (2002) · Molecular Cell · doi:10.1016/s1097-2765(02)00710-4 · Cited by 651
Iron traffics in circulation bound to a siderocalin (Ngal)–catechol complex
Bao, G., Clifton, M., Hoette, T. M., Mori, K., Deng, S.-X., Qiu, A., Viltard, M., Williams, D., Paragas, N., Leete, T., et al. (2010) · Nature Chemical Biology · doi:10.1038/nchembio.402 · Cited by 307 · cited 1×
“(22) showed that NGAL sequesters iron through its interaction with a class of metabolites known as catechols, which are abundant in the urine.”
BackgroundNew Fibrate Use and Acute Renal Outcomes in Elderly Adults: A Population-Based Study
Zhao, Y. Y., Weir, M. A., Manno, M., Cordy, P., Gomes, T., Hackam, D. G., Juurlink, D. N., Mamdani, M., Moist, L., Parikh, C. R., et al. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-156-8-201204170-00401 · Cited by 258
IGFBP7 Binds to the IGF-1 Receptor and Blocks Its Activation by Insulin-Like Growth Factors
Evdokimova, V., Tognon, C. E., Benatar, T., Yang, W., Krutikov, K., Pollak, M., Sorensen, P. H. B., & Seth, A. (2012) · Science Signaling · doi:10.1126/scisignal.2003184 · Cited by 176
Zuo, S., Liu, C., Wang, J., Wang, F., Xu, W., Cui, S., Yuan, L., Chen, X., Fan, W., Cui, M., et al. (2012) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-012-1153-y · Cited by 58
Cited by
A clinically applicable approach to continuous prediction of future acute kidney injury
Tomašev, N., Glorot, X., Rae, J. W., Zielinski, M., Askham, H., Saraiva, A., Mottram, A., Meyer, C., Ravuri, S., Protsyuk, I., et al. (2019) · Nature · doi:10.1038/s41586-019-1390-1 · Cited by 1,086
Zappitelli, M., Ambalavanan, N., Askenazi, D. J., Moxey-Mims, M. M., Kimmel, P. L., Star, R. A., Abitbol, C. L., Brophy, P. D., Hidalgo, G., Hanna, M., et al. (2017) · Pediatric Research · doi:10.1038/pr.2017.136 · Cited by 257
Urine Output Assessment in Acute Kidney Injury: The Cheapest and Most Impactful Biomarker
Goldstein, S. L. (2020) · Frontiers in Pediatrics · doi:10.3389/fped.2019.00565 · Cited by 41
Metadata
- Authors
- Alge, J. L., & Arthur, J. M.
- Venue
- Clinical Journal of the American Society of Nephrology
- Published
- 2015-01
- Volume
- 10
- Issue
- 1
- Pages
- 147-155
- ISSN
- 1555-9041 (ISSN-L)
- OpenAlex
- W2040883898
- Cited by
- 294
- References
- 9
- FWCI
- 16.97
- Type
- journal article
- Language
- en
- Open access
- green
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- Alge, J. L., & Arthur, J. M. (2015). Biomarkers of AKI: A Review of Mechanistic Relevance and Potential Therapeutic Implications. Clinical Journal of the American Society of Nephrology. https://doi.org/10.2215/cjn.12191213
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