The DOI matches its Crossref record; 91 of the 91 references it cites were found in a registry or an index.
Renal lipid metabolism and lipotoxicity
Open accessAbstract
PURPOSE OF REVIEW: Lipid accumulation in nonadipose tissues is increasingly recognized to contribute to organ injury through a process termed lipotoxicity, but whether this process occurs in the kidney is still uncertain. This article briefly summarizes the normal role of lipids in renal physiology and the current evidence linking excess lipids and lipotoxicity to renal dysfunction. RECENT FINDINGS: Evidence suggesting that renal lipid accumulation and lipotoxicity may lead to kidney dysfunction has mounted significantly over recent years. Abnormal renal lipid content has been described in a number of animal models and has been successfully manipulated using pharmacologic or genetic strategies. There is some heterogeneity among studies with regard to the mechanisms, consequences, and localization of lipid accumulation in the kidney, explainable at least in part by inherent differences between animal models. The relevance of these findings for human pathophysiology remains to be established. SUMMARY: Current knowledge on renal lipid physiology and pathophysiology is insufficient, but provides a strong foundation and incentive for further exploration. The future holds significant challenges in this area, especially with regard to applicability of research findings to the human kidney in vivo, but also the opportunity to transform our understanding of an array of kidney disorders.
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
Triglyceride accumulation protects against fatty acid-induced lipotoxicity
Listenberger, L. L., Han, X., Lewis, S. E., Cases, S., Farese, R. V., Ory, D. S., & Schaffer, J. E. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0630588100 · Cited by 2,075
LIPID NEPHROTOXICITY IN CHRONIC PROGRESSIVE GLOMERULAR AND TUBULO-INTERSTITIAL DISEASE
Moorhead, J. F., El-Nahas, M., Chan, M. K., & Varghese, Z. (1982) · The Lancet · doi:10.1016/s0140-6736(82)91513-6 · Cited by 1,070
Lipotoxicity: when tissues overeat
Schaffer, J. E. (2003) · Current Opinion in Lipidology · doi:10.1097/00041433-200306000-00008 · Cited by 896
Mouse Models of Diabetic Nephropathy
Brosius, F. C., Alpers, C. E., Bottinger, E. P., Breyer, M. D., Coffman, T. M., Gurley, S. B., Harris, R. C., Kakoki, M., Kretzler, M., Leiter, E. H., et al. (2009) · Journal of the American Society of Nephrology · doi:10.1681/asn.2009070721 · Cited by 895
Unger, R. H. (2002) · Annual Review of Medicine · doi:10.1146/annurev.med.53.082901.104057 · Cited by 875
Lee, Y., Hirose, H., Ohneda, M., Johnson, J. H., McGarry, J. D., & Unger, R. H. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.23.10878 · Cited by 836
Effect of lipid reduction on the progression of renal disease: A meta-analysis
Fried, L. F., Orchard, T. J., & Kasiske, B. L. (2001) · Kidney International · doi:10.1046/j.1523-1755.2001.00487.x · Cited by 672
Obesity and Obesity-Initiated Metabolic Syndrome: Mechanistic Links to Chronic Kidney Disease
Wahba, I. M., & Mak, R. H. (2007) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.04071206 · Cited by 513
Lipid homeostasis, lipotoxicity and the metabolic syndrome
Unger, R. H., Clark, G. O., Scherer, P. E., & Orci, L. (2010) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2009.10.006 · Cited by 511
Cited by
Oxyl radicals, redox-sensitive signalling cascades and antioxidants
Genestra, M. (2007) · Cellular Signalling · doi:10.1016/j.cellsig.2007.04.009 · Cited by 4,930
Stern, J. H., Rutkowski, J. M., & Scherer, P. E. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.04.011 · Cited by 1,031
Lipotoxicity and Diabetic Nephropathy: Novel Mechanistic Insights and Therapeutic Opportunities
Opazo-Ríos, L., Mas, S., Marín-Royo, G., Mezzano, S., Gómez-Guerrero, C., Moreno, J. A., & Egido, J. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21072632 · Cited by 363
Obesity and chronic kidney disease
Jiang, Z., Wang, Y., Zhao, X., Cui, H., Han, M., Ren, X., Gang, X., & Wang, G. (2023) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00179.2022 · Cited by 267
The Evolving Understanding of the Contribution of Lipid Metabolism to Diabetic Kidney Disease
Stadler, K., Goldberg, I. J., & Susztak, K. (2015) · Current Diabetes Reports · doi:10.1007/s11892-015-0611-8 · Cited by 165
Metadata
- Authors
- Bobulescu, I. A.
- Venue
- Current Opinion in Nephrology and Hypertension
- Published
- 2010-07
- Volume
- 19
- Issue
- 4
- Pages
- 393-402
- ISSN
- 1062-4821 (ISSN-L)
- OpenAlex
- W2146310869
- Cited by
- 364
- References
- 91
- FWCI
- 5.74
- 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: Renal lipid metabolism and lipotoxicity. https://app.cochat.ai/papers/10.1097/mnh.0b013e32833aa4ac
- The paper
- Bobulescu, I. A. (2010). Renal lipid metabolism and lipotoxicity. Current Opinion in Nephrology and Hypertension. https://doi.org/10.1097/mnh.0b013e32833aa4ac
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.