The DOI matches its Crossref record; 173 of the 173 references it cites were found in a registry or an index.
Rodent models of diabetic cardiomyopathy
Abstract
Diabetic cardiomyopathy increases the risk of heart failure in individuals with diabetes, independently of co-existing coronary artery disease and hypertension. The underlying mechanisms for this cardiac complication are incompletely understood. Research on rodent models of type 1 and type 2 diabetes, and the use of genetic engineering techniques in mice, have greatly advanced our understanding of the molecular mechanisms responsible for human diabetic cardiomyopathy. The adaptation of experimental techniques for the investigation of cardiac physiology in mice now allows comprehensive characterization of these models. The focus of the present review will be to discuss selected rodent models that have proven to be useful in studying the underlying mechanisms of human diabetic cardiomyopathy, and to provide an overview of the characteristics of these models for the growing number of investigators who seek to understand the pathology of diabetes-related heart disease.
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
Positional cloning of the mouse obese gene and its human homologue
Zhang, Y., Proenca, R., Maffei, M., Barone, M., Leopold, L., & Friedman, J. M. (1994) · Nature · doi:10.1038/372425a0 · Cited by 13,419
Initial sequencing and comparative analysis of the mouse genome
Mouse Genome Sequencing Consortium (2002) · Nature · doi:10.1038/nature01262 · Cited by 7,187
Leptin and the regulation of body weight in mammals
Friedman, J. M., & Halaas, J. L. (1998) · Nature · doi:10.1038/27376 · Cited by 5,405
Peroxisome Proliferator-Activated Receptors: Nuclear Control of Metabolism*
Desvergne, B., & Wahli, W. (1999) · Endocrine Reviews · doi:10.1210/edrv.20.5.0380 · Cited by 3,086
Diabetes and Cardiovascular Disease: The Framingham Study
Kannel, W. B. (1979) · JAMA · doi:10.1001/jama.1979.03290450033020 · Cited by 2,936
The Failing Heart — An Engine Out of Fuel
Neubauer, S. (2007) · New England Journal of Medicine · doi:10.1056/nejmra063052 · Cited by 2,417
Abnormal splicing of the leptin receptor in diabetic mice
Lee, G.-H., Proenca, R., Montez, J. M., Carroll, K. M., Darvishzadeh, J. G., Lee, J. I., & Friedman, J. M. (1996) · Nature · doi:10.1038/379632a0 · Cited by 2,327
The epidemiology of heart failure: The Framingham Study
Ho, K. K. L., Pinsky, J. L., Kannel, W. B., & Levy, D. (1993) · Journal of the American College of Cardiology · doi:10.1016/0735-1097(93)90455-a · Cited by 2,247
Chen, H., Charlat, O., Tartaglia, L. A., Woolf, E. A., Weng, X., Ellis, S. J., Lakey, N. D., Culpepper, J., More, K. J., Breitbart, R. E., et al. (1996) · Cell · doi:10.1016/s0092-8674(00)81294-5 · Cited by 2,214
New type of cardiomyopathy associated with diabetic glomerulosclerosis
Rubler, S., Dlugash, J., Yuceoglu, Y. Z., Kumral, T., Branwood, A. W., & Grishman, A. (1972) · The American Journal of Cardiology · doi:10.1016/0002-9149(72)90595-4 · Cited by 1,837
Cited by
Mechanisms of Diabetic Complications
Forbes, J. M., & Cooper, M. E. (2013) · Physiological Reviews · doi:10.1152/physrev.00045.2011 · Cited by 2,890
Molecular mechanisms of diabetic cardiomyopathy
Bugger, H., & Abel, E. D. (2014) · Diabetologia · doi:10.1007/s00125-014-3171-6 · Cited by 903
Self-citationBasic Mechanisms of Diabetic Heart Disease
Ritchie, R. H., & Abel, E. D. (2020) · Circulation Research · doi:10.1161/circresaha.120.315913 · Cited by 708
Self-citationHuynh, K., Bernardo, B. C., McMullen, J. R., & Ritchie, R. H. (2014) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2014.01.003 · Cited by 553
Implications of Underlying Mechanisms for the Recognition and Management of Diabetic Cardiomyopathy
Marwick, T. H., Ritchie, R., Shaw, J. E., & Kaye, D. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2017.11.019 · Cited by 365
Metadata
- Authors
- Bugger, H., & Abel, E. D.
- Venue
- Disease Models & Mechanisms
- Publisher
- The Company of Biologists
- Published
- 2009-09-02
- Volume
- 2
- Issue
- 9-10
- Pages
- 454-466
- ISSN
- 1754-8403 (ISSN-L)
- 1754-8411
- OpenAlex
- W2149067762
- Cited by
- 285
- References
- 173
- FWCI
- 9.89
- Type
- journal article
- Language
- en
- Open access
- closed
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: Rodent models of diabetic cardiomyopathy. https://app.cochat.ai/papers/10.1242/dmm.001941
- The paper
- Bugger, H., & Abel, E. D. (2009). Rodent models of diabetic cardiomyopathy. Disease Models & Mechanisms. https://doi.org/10.1242/dmm.001941
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.