The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Tissue–Specific Insulin Signaling, Metabolic Syndrome, and Cardiovascular Disease
Open accessAbstract
Impaired insulin signaling is central to development of the metabolic syndrome and can promote cardiovascular disease indirectly through development of abnormal glucose and lipid metabolism, hypertension, and a proinflammatory state. However, insulin’s action directly on vascular endothelium, atherosclerotic plaque macrophages, and in the heart, kidney, and retina has now been described, and impaired insulin signaling in these locations can alter progression of cardiovascular disease in the metabolic syndrome and affect development of microvascular complications of diabetes mellitus. Recent advances in our understanding of the complex pathophysiology of insulin’s effects on vascular tissues offer new opportunities for preventing these cardiovascular 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
Type 2 diabetes as an inflammatory disease
Donath, M. Y., & Shoelson, S. E. (2011) · Nature Reviews Immunology · doi:10.1038/nri2925 · Cited by 3,737
Endoplasmic reticulum stress and the inflammatory basis of metabolic disease
Hotamisligil, G. S. (2010) · Cell · doi:10.1016/j.cell.2010.02.034 · Cited by 2,802
Macrophages in the Pathogenesis of Atherosclerosis
Moore, K. J., & Tabas, I. (2011) · Cell · doi:10.1016/j.cell.2011.04.005 · Cited by 2,669
A Potential Decline in Life Expectancy in the United States in the 21st Century
Olshansky, S. J., Passaro, D. J., Hershow, R. C., Layden, J., Carnes, B. A., Brody, J., Hayflick, L., Butler, R. N., Allison, D. B., & Ludwig, D. S. (2005) · New England Journal of Medicine · doi:10.1056/nejmsr043743 · Cited by 2,612
Adipocyte dysfunctions linking obesity to insulin resistance and type 2 diabetes.
Guilherme, A., Virbasius, J. V., Puri, V., & Czech, M. P. (2008) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2391 · Cited by 2,292
Skeletal Muscle Insulin Resistance Is the Primary Defect in Type 2 Diabetes
DeFronzo, R. A., & Tripathy, D. (2009) · Diabetes Care · doi:10.2337/dc09-s302 · Cited by 2,102 · cited 3×
“up by skeletal muscle and used for glycogen synthesis and glycolysis.(11) In insulin resistance, insulin signaling through IRS-”
BackgroundMethodInfluentialA Potential Decline in Life Expectancy in the United States in the 21st Century
Olshansky, S. J., Passaro, D. J., Hershow, R. C., Layden, J., Carnes, B. A., Brody, J., Hayflick, L., Butler, R. N., Allison, D. B., & Ludwig, D. S. (2005) · Obstetrical & Gynecological Survey · doi:10.1097/01.ogx.0000167407.83915.e7 · Cited by 1,944
Steinberg, H. O., Chaker, H., Leaming, R., Johnson, A., Brechtel, G., & Baron, A. D. (1996) · Journal of Clinical Investigation · doi:10.1172/jci118709 · Cited by 1,687
Michael, M. D., Kulkarni, R. N., Postic, C., Previs, S. F., Shulman, G. I., Magnuson, M. A., & Kahn, C. R. (2000) · Molecular Cell · doi:10.1016/s1097-2765(05)00015-8 · Cited by 1,296
Self-citationLipid-induced insulin resistance: unravelling the mechanism
Samuel, V. T., Petersen, K. F., & Shulman, G. I. (2010) · The Lancet · doi:10.1016/s0140-6736(10)60408-4 · Cited by 1,189
Cited by
Biochemical and cellular properties of insulin receptor signalling
Haeusler, R. A., McGraw, T. E., & Accili, D. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.89 · Cited by 739
Insulin Action in Brain Regulates Systemic Metabolism and Brain Function
Kleinridders, A., Ferris, H. A., Cai, W., & Kahn, C. R. (2014) · Diabetes · doi:10.2337/db14-0568 · Cited by 625
Self-citationGuo, S. (2014) · Journal of Endocrinology · doi:10.1530/joe-13-0327 · Cited by 623
Jakubowicz, D., Barnea, M., Wainstein, J., & Froy, O. (2013) · Obesity · doi:10.1002/oby.20460 · Cited by 593
The impact of insulin resistance on the kidney and vasculature
Artunc, F., Schleicher, E., Weigert, C., Fritsche, A., Stefan, N., & Häring, H.-U. (2016) · Nature Reviews Nephrology · doi:10.1038/nrneph.2016.145 · Cited by 462
Metadata
- Authors
- Rask-Madsen, C., & Kahn, C. R.
- Venue
- Arteriosclerosis, Thrombosis, and Vascular Biology
- Published
- 2012-09
- Volume
- 32
- Issue
- 9
- Pages
- 2052-2059
- ISSN
- 1079-5642 (ISSN-L)
- 1524-4636
- OpenAlex
- W2144411635
- Cited by
- 375
- References
- 57
- FWCI
- 20.94
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Tissue–Specific Insulin Signaling, Metabolic Syndrome, and Cardiovascular Disease. https://app.cochat.ai/papers/10.1161/atvbaha.111.241919
- The paper
- Rask-Madsen, C., & Kahn, C. R. (2012). Tissue–Specific Insulin Signaling, Metabolic Syndrome, and Cardiovascular Disease. Arteriosclerosis, Thrombosis, and Vascular Biology. https://doi.org/10.1161/atvbaha.111.241919
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.
