The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury
Open accessAbstract
Introduction: Acute kidney injury (AKI) can evolve quickly and clinical measures of function often fail to detect AKI at a time when interventions are likely to provide benefit. Identifying early markers of kidney damage has been difficult due to the complex nature of human AKI, in which multiple etiologies exist. The objective of this study was to identify and validate novel biomarkers of AKI. Methods: We performed two multicenter observational studies in critically ill patients at risk for AKI - discovery and validation. The top two markers from discovery were validated in a second study (Sapphire) and compared to a number of previously described biomarkers. In the discovery phase, we enrolled 522 adults in three distinct cohorts including patients with sepsis, shock, major surgery, and trauma and examined over 300 markers. In the Sapphire validation study, we enrolled 744 adult subjects with critical illness and without evidence of AKI at enrollment; the final analysis cohort was a heterogeneous sample of 728 critically ill patients. The primary endpoint was moderate to severe AKI (KDIGO stage 2 to 3) within 12 hours of sample collection. Results: Moderate to severe AKI occurred in 14% of Sapphire subjects. The two top biomarkers from discovery were validated. Urine insulin-like growth factor-binding protein 7 (IGFBP7) and tissue inhibitor of metalloproteinases-2 (TIMP-2), both inducers of G 1 cell cycle arrest, a key mechanism implicated in AKI, together demonstrated an AUC of 0.80 (0.76 and 0.79 alone). Urine [TIMP-2] · [IGFBP7] was significantly superior to all previously described markers of AKI ( P <0.002), none of which achieved an AUC >0.72. Furthermore, [TIMP-2] · [IGFBP7] significantly improved risk stratification when added to a nine-variable clinical model when analyzed using Cox proportional hazards model, generalized estimating equation, integrated discrimination improvement or net reclassification improvement. Finally, in sensitivity analyses [TIMP-2] · [IGFBP7] remained significant and superior to all other markers regardless of changes in reference creatinine method. Conclusions: Two novel markers for AKI have been identified and validated in independent multicenter cohorts. Both markers are superior to existing markers, provide additional information over clinical variables and add mechanistic insight into AKI. Trial registration: ClinicalTrials.gov number NCT01209169 .
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
von Elm, E., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., Vandenbroucke, J. P., & Initiative, F. T. S. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040296 · Cited by 23,020
Vincent, J. L., Moreno, R., Takala, J., Willatts, S., De Mendonça, A., Bruining, H., Reinhart, C. K., Suter, P. M., & Thijs, L. G. (1996) · Intensive Care Medicine · doi:10.1007/bf01709751 · Cited by 11,674
Self-citation(2012) · Kidney International Supplements · doi:10.1038/kisup.2012.1 · Cited by 4,326
Self-citationTargeting the KEAP1-NRF2 system to prevent kidney disease progression
Nezu, M., Suzuki, N., & Yamamoto, M. (2017) · American Journal of Nephrology · doi:10.1159/000475890 · Cited by 3,447
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
Update on Mechanisms of Ischemic Acute Kidney Injury
Devarajan, P. (2006) · Journal of the American Society of Nephrology · doi:10.1681/asn.2006010017 · Cited by 1,026
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×
“Importantly, both TIMP-2 and IGFBP7 appear to be able to signal in autocrine and paracrine fashions [24,27-30] thus spreading the ‘alarm’ from the site of injury.”
BackgroundZuo, 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
Ronco, C., Bellomo, R., & Kellum, J. A. (2019) · The Lancet · doi:10.1016/s0140-6736(19)32563-2 · Cited by 1,910
Self-citationGlobal epidemiology and outcomes of acute kidney injury
Hoste, E. A. J., Kellum, J. A., Selby, N. M., Zarbock, A., Palevsky, P. M., Bagshaw, S. M., Goldstein, S. L., Cerdá, J., & Chawla, L. S. (2018) · Nature Reviews Nephrology · doi:10.1038/s41581-018-0052-0 · Cited by 1,486
Self-citationBalanced crystalloids versus saline in critically ill adults.
Semler, M. W., Self, W. H., Wanderer, J. P., Ehrenfeld, J. M., Wang, L., Byrne, D. W., Stollings, J. L., Kumar, A. B., Hughes, C. G., Hernandez, A., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1711584 · Cited by 1,433
Self-citationEngelman, D. T., Ben Ali, W., Williams, J. B., Perrault, L. P., Reddy, V. S., Arora, R. C., Roselli, E. E., Khoynezhad, A., Gerdisch, M., Levy, J. H., et al. (2019) · JAMA Surgery · doi:10.1001/jamasurg.2019.1153 · Cited by 1,225
Acute kidney injury-epidemiology, outcomes and economics
Rewa, O., & Bagshaw, S. M. (2014) · Nature Reviews Nephrology · doi:10.1038/nrneph.2013.282 · Cited by 734
Self-citationRecovery after Acute Kidney Injury
Kellum, J. A., Sileanu, F. E., Bihorac, A., Hoste, E. A. J., & Chawla, L. S. (2017) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201604-0799oc · Cited by 520
Self-citationBalanced crystalloids versus saline in the intensive care unit. The SALT randomized trial.
Semler, M. W., Wanderer, J. P., Ehrenfeld, J. M., Stollings, J. L., Self, W. H., Siew, E. D., Wang, L., Byrne, D. W., Shaw, A. D., Bernard, G. R., et al. (2017) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201607-1345oc · Cited by 249
Self-citationBalanced Crystalloids versus Saline in Sepsis. A Secondary Analysis of the SMART Clinical Trial
Brown, R. M., Wang, L., Coston, T. D., Krishnan, N. I., Casey, J. D., Wanderer, J. P., Ehrenfeld, J. M., Byrne, D. W., Stollings, J. L., Siew, E. D., et al. (2019) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201903-0557oc · Cited by 202
Flechet, M., Güiza, F., Schetz, M., Wouters, P., Vanhorebeek, I., Derese, I., Gunst, J., Spriet, I., Casaer, M., Van den Berghe, G., et al. (2017) · Intensive Care Medicine · doi:10.1007/s00134-017-4678-3 · Cited by 169
Fu, H., Zhou, D., Zhu, H., Liao, J., Lin, L., Hong, X., Hou, F. F., & Liu, Y. (2019) · Kidney International · doi:10.1016/j.kint.2018.11.043 · Cited by 65
Sepsis and Acute Kidney Injury
Bilgili, B., Haliloglu, M., & Cinel, I. (2014) · Turkish Journal of Anesthesia and Reanimation · doi:10.5152/tjar.2014.83436 · Cited by 42
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
- Kashani, K., Al-Khafaji, A., Ardiles, T., Artigas, A., Bagshaw, S. M., Bell, M., Bihorac, A., Birkhahn, R., Cely, C. M., Chawla, L. S., Davison, D. L., Feldkamp, T., Forni, L. G., Gong, M. N., Gunnerson, K. J., Haase, M., Hackett, J., Honore, P. M., Hoste, E. A., Joannes-Boyau, O., Joannidis, M., Kim, P., Koyner, J. L., Laskowitz, D. T., Lissauer, M. E., Marx, G., McCullough, P. A., Mullaney, S., Ostermann, M., Rimmelé, T., Shapiro, N. I., Shaw, A. D., Shi, J., Sprague, A. M., Vincent, J.-L., Vinsonneau, C., Wagner, L., Walker, M. G., Wilkerson, R. G., Zacharowski, K., & Kellum, J. A.
- Venue
- Critical Care
- Published
- 2013-02-06
- Volume
- 17
- Issue
- 1
- Pages
- R25-R25
- ISSN
- 1364-8535 (ISSN-L)
- OpenAlex
- W2148152947
- Cited by
- 1,362
- References
- 8
- FWCI
- 68.72
- Type
- journal article
- Language
- en
- Open access
- gold
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
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.