The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Failed Tubule Recovery, AKI-CKD Transition, and Kidney Disease Progression
Open accessAbstract
The transition of AKI to CKD has major clinical significance. As reviewed here, recent studies show that a subpopulation of dedifferentiated, proliferating tubules recovering from AKI undergo pathologic growth arrest, fail to redifferentiate, and become atrophic. These abnormal tubules exhibit persistent, unregulated, and progressively increasing profibrotic signaling along multiple pathways. Paracrine products derived therefrom perturb normal interactions between peritubular capillary endothelium and pericyte-like fibroblasts, leading to myofibroblast transformation, proliferation, and fibrosis as well as capillary disintegration and rarefaction. Although signals from injured endothelium and inflammatory/immune cells also contribute, tubule injury alone is sufficient to produce the interstitial pathology required for fibrosis. Localized hypoxia produced by microvascular pathology may also prevent tubule recovery. However, fibrosis is not intrinsically progressive, and microvascular pathology develops strictly around damaged tubules; thus, additional deterioration of kidney structure after the transition of AKI to CKD requires new acute injury or other mechanisms of progression. Indeed, experiments using an acute-on-chronic injury model suggest that additional loss of parenchyma caused by failed repair of AKI in kidneys with prior renal mass reduction triggers hemodynamically mediated processes that damage glomeruli to cause progression. Continued investigation of these pathologic mechanisms should reveal options for preventing renal disease progression after AKI.
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
Kang, H. M., Ahn, S. H., Choi, P., Ko, Y.-A., Han, S. H., Chinga, F., Park, A. S. D., Tao, J., Sharma, K., Pullman, J., et al. (2015) · Nature Medicine · doi:10.1038/nm.3762 · Cited by 1,555
Mitochondrial reactive oxygen species regulate hypoxic signaling
Hamanaka, R. B., & Chandel, N. S. (2009) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2009.08.005 · Cited by 332
Long-term effects of acute ischemia and reperfusion injury
Gueler, F., Gwinner, W., Schwarz, A., & Haller, H. (2004) · Kidney International · doi:10.1111/j.1523-1755.2004.761_11.x · Cited by 189
Wnt4/β−Catenin Signaling in Medullary Kidney Myofibroblasts
DiRocco, D. P., Kobayashi, A., Taketo, M. M., McMahon, A. P., & Humphreys, B. D. (2013) · Journal of the American Society of Nephrology · doi:10.1681/asn.2012050512 · Cited by 173
Cited by
Renal tubule injury: a driving force toward chronic kidney disease
Liu, B.-C., Tang, T.-T., Lv, L.-L., & Lan, H.-Y. (2018) · Kidney International · doi:10.1016/j.kint.2017.09.033 · Cited by 913
Decoding myofibroblast origins in human kidney fibrosis
Kuppe, C., Ibrahim, M. M., Kranz, J., Zhang, X., Ziegler, S., Perales-Patón, J., Jansen, J., Reimer, K. C., Smith, J. R., Dobie, R., et al. (2021) · Nature · doi:10.1038/s41586-020-2941-1 · Cited by 769
Mitochondrial quality control in kidney injury and repair
Tang, C., Cai, J., Yin, X.-M., Weinberg, J. M., Venkatachalam, M. A., & Dong, Z. (2021) · Nature Reviews Nephrology · doi:10.1038/s41581-020-00369-0 · Cited by 513
Self-citationAKI on CKD: heightened injury, suppressed repair, and the underlying mechanisms
He, L., Wei, Q., Liu, J., Yi, M., Liu, Y., Liu, H., Sun, L., Peng, Y., Liu, F., Venkatachalam, M. A., et al. (2017) · Kidney International · doi:10.1016/j.kint.2017.06.030 · Cited by 448
Self-citationTang, C., Han, H., Yan, M., Zhu, S., Liu, J., Liu, Z., He, L., Tan, J., Liu, Y., Liu, H., et al. (2018) · Autophagy · doi:10.1080/15548627.2017.1405880 · Cited by 309
Metadata
- Authors
- Venkatachalam, M. A., Weinberg, J. M., Kriz, W., & Bidani, A. K.
- Venue
- Journal of the American Society of Nephrology
- Published
- 2015-08
- Volume
- 26
- Issue
- 8
- Pages
- 1765-1776
- ISSN
- 1046-6673 (ISSN-L)
- OpenAlex
- W2147375079
- Cited by
- 744
- References
- 4
- FWCI
- 37.16
- 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: Failed Tubule Recovery, AKI-CKD Transition, and Kidney Disease Progression. https://app.cochat.ai/papers/10.1681/asn.2015010006
- The paper
- Venkatachalam, M. A., Weinberg, J. M., Kriz, W., & Bidani, A. K. (2015). Failed Tubule Recovery, AKI-CKD Transition, and Kidney Disease Progression. Journal of the American Society of Nephrology. https://doi.org/10.1681/asn.2015010006
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.