The DOI matches its Crossref record; 395 of the 395 references it cites were found in a registry or an index.
Pathophysiology of Atherosclerosis
Open accessAbstract
Atherosclerosis is the main risk factor for cardiovascular disease (CVD), which is the leading cause of mortality worldwide. Atherosclerosis is initiated by endothelium activation and, followed by a cascade of events (accumulation of lipids, fibrous elements, and calcification), triggers the vessel narrowing and activation of inflammatory pathways. The resultant atheroma plaque, along with these processes, results in cardiovascular complications. This review focuses on the different stages of atherosclerosis development, ranging from endothelial dysfunction to plaque rupture. In addition, the post-transcriptional regulation and modulation of atheroma plaque by microRNAs and lncRNAs, the role of microbiota, and the importance of sex as a crucial risk factor in atherosclerosis are covered here in order to provide a global view of the disease.
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Yusuf, S., Hawken, S., Ôunpuu, S., Dans, T., Avezum, A., Lanas, F., McQueen, M., Budaj, A., Pais, P., Varigos, J., et al. (2004) · The Lancet · doi:10.1016/s0140-6736(04)17018-9 · Cited by 12,026
Heart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association
Virani, S. S., Alonso, A., Benjamin, E. J., Bittencourt, M. S., Callaway, C. W., Carson, A. P., Chamberlain, A. M., Chang, A. R., Cheng, S., Delling, F. N., et al. (2020) · Circulation · doi:10.1161/cir.0000000000000757 · Cited by 9,175
NF-κB signaling in inflammation
Liu, T., Zhang, L., Joo, D., & Sun, S.-C. (2017) · Signal Transduction and Targeted Therapy · doi:10.1038/sigtrans.2017.23 · Cited by 8,791
European Guidelines on cardiovascular disease prevention in clinical practice (version 2012)
Authors/Task Force Members:, Perk, J., De Backer, G., Gohlke, H., Graham, I., Reiner, Ž., Verschuren, M., Albus, C., Benlian, P., Boysen, G., et al. (2012) · European Heart Journal · doi:10.1093/eurheartj/ehs092 · Cited by 8,490
Inflammation in atherosclerosis
Libby, P. (2002) · Nature · doi:10.1038/nature01323 · Cited by 8,315
Mizgerd, J. P., Kubo, H., Kutkoski, G. J., Bhagwan, S. D., Scharffetter-Kochanek, K., Beaudet, A. L., & Doerschuk, C. M. (1997) · The Journal of Experimental Medicine · doi:10.1084/jem.186.8.1357 · Cited by 7,306
Traffic signals for lymphocyte recirculation and leukocyte emigration: The multistep paradigm
Springer, T. A. (1994) · Cell · doi:10.1016/0092-8674(94)90337-9 · Cited by 6,929
A role for mitochondria in nlrp3 inflammasome activation
Zhou, R., Yazdi, A. S., Menu, P., & Tschopp, J. (2011) · Nature · doi:10.1038/nature09663 · Cited by 5,602
Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease
Wang, Z., Klipfell, E., Bennett, B. J., Koeth, R., Levison, B. S., DuGar, B., Feldstein, A. E., Britt, E. B., Fu, X., Chung, Y.-M., et al. (2011) · Nature · doi:10.1038/nature09922 · Cited by 5,597
Schroder, K., & Tschopp, J. (2010) · Cell · doi:10.1016/j.cell.2010.01.040 · Cited by 5,475
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Atherosclerosis and Inflammation: Insights from the Theory of General Pathological Processes
Gusev, E., & Sarapultsev, A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24097910 · Cited by 312
Peña-Jorquera, H., Cid-Jofré, V., Landaeta-Díaz, L., Petermann-Rocha, F., Martorell, M., Zbinden-Foncea, H., Ferrari, G., Jorquera-Aguilera, C., & Cristi-Montero, C. (2023) · Nutrients · doi:10.3390/nu15143244 · Cited by 103
Tang, Y., Zhao, C., Zhuang, Y., Zhong, A., Wang, M., Zhang, W., & Zhu, L. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1149336 · Cited by 67
In Vitro Modeling of Atherosclerosis Using iPSC‐Derived Blood Vessel Organoids
Kong, D., Ryu, J., Shin, N., Lee, S., Kim, N. G., Kim, H., Kim, M., Choi, J., Kim, D., & Kang, K. (2025) · Advanced Healthcare Materials · doi:10.1002/adhm.202400919 · Cited by 36
New Approaches for Targeting PCSK9: Small-Interfering Ribonucleic Acid and Genome Editing
Oostveen, R. F., Khera, A. V., Kathiresan, S., Stroes, E. S. G., Fitzgerald, K., Harms, M. J., Oakes, B. L., & Kastelein, J. J. P. (2023) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.122.317963 · Cited by 31
Metadata
- Authors
- Jebari-Benslaiman, S., Galicia-García, U., Larrea-Sebal, A., Olaetxea, J. R., Alloza, I., Vandenbroeck, K., Benito-Vicente, A., & Martín, C.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2022-03-20
- Volume
- 23
- Issue
- 6
- Pages
- 3346
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W4220799853
- Cited by
- 1,010
- References
- 395
- FWCI
- 58.87
- Type
- journal article
- Language
- en
- Open access
- gold
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- Jebari-Benslaiman, S., Galicia-García, U., Larrea-Sebal, A., Olaetxea, J. R., Alloza, I., Vandenbroeck, K., Benito-Vicente, A., & Martín, C. (2022). Pathophysiology of Atherosclerosis. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms23063346
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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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