The DOI matches its Crossref record; 160 of the 160 references it cites were found in a registry or an index.
Fatty Acid-Binding Protein 4 in Cardiovascular and Metabolic Diseases
Open accessAbstract
Fatty acid-binding proteins (FABPs), a family of lipid chaperones, contribute to systemic metabolic regulation via several lipid signaling pathways. Fatty acid-binding protein 4 (FABP4), known as adipocyte FABP (A-FABP) or aP2, is mainly expressed in adipocytes and macrophages and plays important roles in the development of insulin resistance and atherosclerosis in relation to metabolically driven low-grade and chronic inflammation, referred to as 'metaflammation'. FABP4 is secreted from adipocytes in a non-classical pathway associated with lipolysis and acts as an adipokine for the development of insulin resistance and atherosclerosis. Circulating FABP4 levels are associated with several aspects of metabolic syndrome and cardiovascular disease. Ectopic expression and function of FABP4 in cells and tissues are also related to the pathogenesis of several diseases. Pharmacological modification of FABP4 function by specific inhibitors, neutralizing antibodies or antagonists of unidentified receptors would be novel therapeutic strategies for several diseases, including obesity, diabetes mellitus, atherosclerosis and cardiovascular disease. Significant roles of FABP4 as a lipid chaperone in physiological and pathophysiological conditions and the possibility of FABP4 being a therapeutic target for metabolic and cardiovascular diseases are discussed in this review.
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Cites
Increased oxidative stress in obesity and its impact on metabolic syndrome
Furukawa, S., Fujita, T., Shimabukuro, M., Iwaki, M., Yamada, Y., Nakajima, Y., Nakayama, O., Makishima, M., Matsuda, M., & Shimomura, I. (2004) · Journal of Clinical Investigation · doi:10.1172/jci21625 · Cited by 5,508
Inflammatory Mechanisms in Obesity
Gregor, M. F., & Hotamisligil, G. S. (2011) · Annual Review of Immunology · doi:10.1146/annurev-immunol-031210-101322 · Cited by 3,754
Subcutaneous and visceral adipose tissue: their relation to the metabolic syndrome
Wajchenberg, B. L. (2000) · Endocrine Reviews · doi:10.1210/edrv.21.6.0415 · Cited by 2,961
Inflammation, metaflammation and immunometabolic disorders
Hotamisligil, G. S. (2017) · Nature · doi:10.1038/nature21363 · Cited by 2,570
Adipocytes promote ovarian cancer metastasis and provide energy for rapid tumor growth
Nieman, K. M., Kenny, H. A., Penicka, C. V., Ladanyi, A., Buell-Gutbrod, R., Zillhardt, M. R., Romero, I. L., Carey, M. S., Mills, G. B., Hotamisligil, G. S., et al. (2011) · Nature Medicine · doi:10.1038/nm.2492 · Cited by 2,279
mPPAR gamma 2: tissue-specific regulator of an adipocyte enhancer.
Tontonoz, P., Hu, E., Graves, R. A., Budavari, A. I., & Spiegelman, B. M. (1994) · Genes & Development · doi:10.1101/gad.8.10.1224 · Cited by 2,181
Fatty acid-binding proteins: role in metabolic diseases and potential as drug targets
Furuhashi, M., & Hotamisligil, G. S. (2008) · Nature Reviews Drug Discovery · doi:10.1038/nrd2589 · Cited by 1,785
Self-citationIdentification of a Lipokine, a Lipid Hormone Linking Adipose Tissue to Systemic Metabolism
Cao, H., Gerhold, K., Mayers, J. R., Wiest, M. M., Watkins, S. M., & Hotamisligil, G. S. (2008) · Cell · doi:10.1016/j.cell.2008.07.048 · Cited by 1,139
Hotamisligil, G. S., Johnson, R. S., Distel, R. J., Ellis, R., Papaioannou, V. E., & Spiegelman, B. M. (1996) · Science · doi:10.1126/science.274.5291.1377 · Cited by 918
The multigene family of fatty acid-binding proteins (FABPs): Function, structure and polymorphism
Chmurzyńska, A. (2006) · Journal of Applied Genetics · doi:10.1007/bf03194597 · Cited by 744
Cited by
Calì, C., Cantando, I., Veloz Castillo, M. F., Gonzalez, L., & Bezzi, P. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25168922 · Cited by 66
Metadata
- Authors
- Furuhashi, M.
- Venue
- Journal of Atherosclerosis and Thrombosis
- Publisher
- Japan Atherosclerosis Society
- Published
- 2019-03-01
- Volume
- 26
- Issue
- 3
- Pages
- 216-232
- ISSN
- 1340-3478 (ISSN-L)
- 1880-3873
- OpenAlex
- W2914390923
- Cited by
- 319
- References
- 160
- FWCI
- 21.53
- Type
- journal article
- Language
- en
- Open access
- diamond
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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