The DOI matches its Crossref record; 141 of the 141 references it cites were found in a registry or an index.
Biomarkers in acute kidney injury – pathophysiological basis and clinical performance
Open accessAbstract
Various biomarkers of acute kidney injury (AKI) have been discovered and characterized in the recent past. These molecules can be detected in urine or blood and signify structural damage to the kidney. Clinically, they are proposed as adjunct diagnostics to serum creatinine and urinary output to improve the early detection, differential diagnosis and prognostic assessment of AKI. The most obvious requirements for a biomarker include its reflection of the underlying pathophysiology of the disease. Hence, a biomarker of AKI should derive from the injured kidney and reflect a molecular process intimately connected with tissue injury. Here, we provide an overview of the basic pathophysiology, the cellular sources and the clinical performance of the most important currently proposed biomarkers of AKI: neutrophil gelatinase‐associated lipocalin (NGAL), kidney injury molecule‐1 (KIM‐1), liver‐type fatty acid‐binding protein (L‐FABP), interleukin‐18 (IL‐18), insulin‐like growth factor‐binding protein 7 (IGFBP 7), tissue inhibitor of metalloproteinase 2 (TIMP‐2) and calprotectin (S100A8/9). We also acknowledge each biomarker's advantages and disadvantages as well as important knowledge gaps and perspectives for future studies.
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Cites
KDIGO Clinical Practice Guidelines for Acute Kidney Injury
Khwaja, A. (2012) · Nephron Clinical Practice · doi:10.1159/000339789 · Cited by 8,014
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A Comparison of Albumin and Saline for Fluid Resuscitation in the Intensive Care Unit
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Self-citationAcute Kidney Injury and Chronic Kidney Disease as Interconnected Syndromes
Chawla, L. S., Eggers, P. W., Star, R. A., & Kimmel, P. L. (2014) · New England Journal of Medicine · doi:10.1056/nejmra1214243 · Cited by 1,977
Kidney Injury Molecule-1 (KIM-1): A novel biomarker for human renal proximal tubule injury
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Lipocalin 2 mediates an innate immune response to bacterial infection by sequestrating iron
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Cited by
Zhong, D., Wang, R., Zhang, H., Wang, M., Zhang, X., & Chen, H. (2023) · Nature Communications · doi:10.1038/s41467-023-39716-7 · Cited by 52
Masoud, A. A., Li, Z., Deyhle, M. R., Siegler, J., Specht, J., McKenna, Z. J., Mermier, C., & Amorim, F. (2025) · European Journal of Applied Physiology · doi:10.1007/s00421-025-05850-x · Cited by 6
Metadata
- Authors
- Schrezenmeier, E. V., Barasch, J., Budde, K., Westhoff, T., & Schmidt‐Ott, K. M.
- Venue
- Acta Physiologica
- Publisher
- Wiley
- Published
- 2016-08-25
- Volume
- 219
- Issue
- 3
- Pages
- 556-574
- ISSN
- 1748-1708 (ISSN-L)
- 1748-1716
- OpenAlex
- W2489050915
- Cited by
- 401
- References
- 141
- FWCI
- 20.28
- Type
- journal article
- Language
- en
- Open access
- green
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- Schrezenmeier, E. V., Barasch, J., Budde, K., Westhoff, T., & Schmidt‐Ott, K. M. (2017). Biomarkers in acute kidney injury – pathophysiological basis and clinical performance. Acta Physiologica. https://doi.org/10.1111/apha.12764
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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.
