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Cited by 252

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Insulin Resistance and Heart Failure

Open access
Aroor, Annayya R., Mandavia, Chirag H., Sowers, James R.·2012·Heart Failure Clinics
DOI 10.1016/j.hfc.2012.06.005
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Abstract

Insulin resistance and associated reductions in cardiac insulin metabolic signaling is emerging as a major factor for the development of heart failure and assumes more importance because of an epidemic increase in obesity and the cardiorenal metabolic syndrome and our aging population. Major factors contributing to the development of cardiac insulin resistance are oxidative stress, hyperglycemia, hyperlipidemia, dysregulated secretion of adipokines/cytokines and inappropriate activation of renin-angiotensin II-aldosterone system (RAAS) and the sympathetic nervous system. The effects of cardiac insulin resistance are exacerbated by metabolic, endocrine and cytokine alterations associated with systemic insulin resistance. The aggregate of these various alterations leads to an insulin resistant phenotype with metabolic inflexibility, impaired calcium handling, mitochondrial dysfunction and oxidative stress, dysregulated myocardial-endothelial interactions resulting in energy deficiency, impaired diastolic dysfunction, myocardial cell death and cardiac fibrosis. Therefore, understanding the molecular mechanisms linking insulin resistance and heart failure may help to design new and more effective mechanism-based drugs to improve myocardial and systemic insulin resistance.

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Metadata

Authors
Aroor, A. R., Mandavia, C. H., & Sowers, J. R.
Venue
Heart Failure Clinics
Publisher
Elsevier BV
Published
2012-10
Volume
8
Issue
4
Pages
609-617
ISSN
1551-7136 (ISSN-L)
DOI
10.1016/j.hfc.2012.06.005
OpenAlex
W67453287
Cited by
252
References
56
FWCI
6.14
Type
journal article
Language
en
Open access
green

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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.