The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.
Inflammation, obesity, and thrombosis
Open accessAbstract
Clinical and epidemiological studies support a connection between obesity and thrombosis, involving elevated expression of the prothrombotic molecules plasminogen activator inhibitor-1 and tissue factor (TF) and increased platelet activation. Cardiovascular diseases and metabolic syndrome–associated disorders, including obesity, insulin resistance, type 2 diabetes, and hepatic steatosis, involve inflammation elicited by infiltration and activation of immune cells, particularly macrophages, into adipose tissue. Although TF has been clearly linked to a procoagulant state in obesity, emerging genetic and pharmacologic evidence indicate that TF signaling via G protein-coupled protease-activated receptors (PAR2, PAR1) additionally drives multiple aspects of the metabolic syndrome. TF–PAR2 signaling in adipocytes contributes to diet-induced obesity by decreasing metabolism and energy expenditure, whereas TF–PAR2 signaling in hematopoietic and myeloid cells drives adipose tissue inflammation, hepatic steatosis, and insulin resistance. TF-initiated coagulation leading to thrombin–PAR1 signaling also contributes to diet-induced hepatic steatosis and inflammation in certain models. Thus, in obese patients, clinical markers of a prothrombotic state may indicate a risk for the development of complications of the metabolic syndrome. Furthermore, TF-induced signaling could provide new therapeutic targets for drug development at the intersection between obesity, inflammation, and thrombosis.
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Cites
Macrophage plasticity and polarization: in vivo veritas
Sica, A., & Mantovani, A. (2012) · Journal of Clinical Investigation · doi:10.1172/jci59643 · Cited by 6,335
Mechanisms linking obesity to insulin resistance and type 2 diabetes
Kahn, S. E., Hull, R. L., & Utzschneider, K. M. (2006) · Nature · doi:10.1038/nature05482 · Cited by 5,448
Yamauchi, T., Kamon, J., Minokoshi, Y., Ito, Y., Waki, H., Uchida, S., Yamashita, S., Noda, M., Kita, S., Ueki, K., et al. (2002) · Nature Medicine · doi:10.1038/nm788 · Cited by 4,238
Yusuf, S., Hawken, S., Ôunpuu, S., Bautista, L., Franzosi, M. G., Commerford, P., Lang, C. C., Rumboldt, Z., Onen, C. L., Lisheng, L., et al. (2005) · The Lancet · doi:10.1016/s0140-6736(05)67663-5 · Cited by 2,903
Adiponectin and adiponectin receptors in insulin resistance, diabetes, and the metabolic syndrome
Kadowaki, T. (2006) · Journal of Clinical Investigation · doi:10.1172/jci29126 · Cited by 2,824
Macrophages, inflammation, and insulin resistance
Olefsky, J. M., & Glass, C. K. (2010) · Annual Review of Physiology · doi:10.1146/annurev-physiol-021909-135846 · Cited by 2,733
Thrombin signalling and protease-activated receptors
Coughlin, S. R. (2000) · Nature · doi:10.1038/35025229 · Cited by 2,482
Oh, D. Y., Talukdar, S., Bae, E. J., Imamura, T., Morinaga, H., Fan, W., Li, P., Lu, W. J., Watkins, S. M., & Olefsky, J. M. (2010) · Cell · doi:10.1016/j.cell.2010.07.041 · Cited by 2,428
LPS induction of gene expression in human monocytes
Guha, M., & Mackman, N. (2001) · Cellular Signalling · doi:10.1016/s0898-6568(00)00149-2 · Cited by 2,304
the Immunological Genome Consortium, Gautier, E. L., Shay, T., Miller, J., Greter, M., Jakubzick, C., Ivanov, S., Helft, J., Chow, A., Elpek, K. G., et al. (2012) · Nature Immunology · doi:10.1038/ni.2419 · Cited by 1,972
Cited by
Grundy, S. M. (2016) · Trends in Cardiovascular Medicine · doi:10.1016/j.tcm.2015.10.004 · Cited by 882
The multifaceted role of fibrinogen in tissue injury and inflammation
Luyendyk, J. P., Schoenecker, J. G., & Flick, M. J. (2019) · Blood · doi:10.1182/blood-2018-07-818211 · Cited by 555
The Role of Inflammation in Venous Thromboembolism
Branchford, B. R., & Carpenter, S. L. (2018) · Frontiers in Pediatrics · doi:10.3389/fped.2018.00142 · Cited by 384
COVID-19, immunothrombosis and venous thromboembolism: biological mechanisms
Loo, J., Spittle, D. A., & Newnham, M. (2021) · Thorax · doi:10.1136/thoraxjnl-2020-216243 · Cited by 341
Sebocytes differentially express and secrete adipokines
Kovács, D., Lovászi, M., Póliska, S., Oláh, A., Bíró, T., Veres, I., Zouboulis, C. C., Ståhle, M., Rühl, R., Remenyik, É., et al. (2016) · Experimental Dermatology · doi:10.1111/exd.12879 · Cited by 76
Metadata
- Authors
- Samad, F., & Ruf, W.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2013-11-14
- Volume
- 122
- Issue
- 20
- Pages
- 3415-3422
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W2054738316
- Cited by
- 414
- References
- 93
- FWCI
- 17.70
- Type
- journal article
- Language
- en
- Open access
- green
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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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