The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Atherosclerosis and inflammation: overview and updates
Abstract
The concept that inflammation participates pivotally in the pathogenesis of atherosclerosis and its complications has gained considerable attention, but has not yet entered clinical practice. Experimental work has elucidated molecular and cellular pathways of inflammation that promote atherosclerosis. The recognition of atherogenesis as an active process rather than a cholesterol storage disease or a repository of calcium has highlighted some key inflammatory mechanisms. For example, mononuclear phagocytes contribute to all stages of this disease, illustrating the link between inflammation and atherosclerosis. From a clinical perspective, harnessing inflammation may now help target therapeutics, change guidelines, and enter daily practice. Multiple lines of incontrovertible evidence have proven a causal role for low-density lipoprotein (LDL) cholesterol in atherosclerosis, and we have highly effective tools for lowering LDL, consequently reducing events. Yet, even with intense LDL reduction, events still occur. Inflammation can explain some of this residual risk. An anti-inflammatory intervention has now proven capable of improving outcomes in individuals well treated with LDL-lowering agents. A suite of trials are now pursuing anti-inflammatory therapies in this context. Assessment and treatment of residual inflammatory risk are poised to provide new inroads into preventive cardiology. This brief review aims to explore the potential mechanisms underlying the association of inflammation and atherogenesis, and their clinical consequences.
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Antiinflammatory Therapy with Canakinumab for Atherosclerotic Disease
Ridker, P. M., Everett, B. M., Thuren, T., MacFadyen, J. G., Chang, W. H., Ballantyne, C., Fonseca, F., Nicolau, J., Koenig, W., Anker, S. D., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1707914 · Cited by 9,482
Self-citationInflammation in atherosclerosis
Libby, P. (2002) · Nature · doi:10.1038/nature01323 · Cited by 8,315
Self-citationSacks, F. M., Pfeffer, M. A., Moye, L. A., Rouleau, J. L., Rutherford, J. D., Cole, T. G., Brown, L., Warnica, J. W., Arnold, J. M. O., Wun, C.-C., et al. (1996) · New England Journal of Medicine · doi:10.1056/nejm199610033351401 · Cited by 7,439
Rubins, H. B., Robins, S. J., Collins, D., Fye, C. L., Anderson, J. W., Elam, M. B., Faas, F. H., Linares, E., Schaefer, E. J., Schectman, G., et al. (1999) · New England Journal of Medicine · doi:10.1056/nejm199908053410604 · Cited by 3,439
Effects of Combination Lipid Therapy in Type 2 Diabetes Mellitus
(2010) · New England Journal of Medicine · doi:10.1056/nejmoa1001282 · Cited by 2,837
C-Reactive Protein Levels and Outcomes after Statin Therapy
Ridker, P. M., Cannon, C. P., Morrow, D., Rifai, N., Rose, L. M., McCabe, C. H., Pfeffer, M. A., & Braunwald, E. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa042378 · Cited by 2,292
Inflammation in Atherosclerosis
Libby, P., Ridker, P. M., & Hansson, G. K. (2009) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2009.09.009 · Cited by 2,228
Self-citationInterpretation of the evidence for the efficacy and safety of statin therapy
Collins, R., Reith, C., Emberson, J., Armitage, J., Baigent, C., Blackwell, L., Blumenthal, R., Danesh, J., Smith, G. D., DeMets, D., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)31357-5 · Cited by 1,857
Ridker, P. M., Rifai, N., Pfeffer, M. A., Sacks, F. M., Moye, L. A., Goldman, S., Flaker, G. C., & Braunwald, E. (1998) · Circulation · doi:10.1161/01.cir.98.9.839 · Cited by 1,389
Ridker, P. M., Danielson, E., Fonseca, F. A., Genest, J., Gotto, A. M., Kastelein, J. J., Koenig, W., Libby, P., Lorenzatti, A. J., MacFadyen, J. G., et al. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60447-5 · Cited by 1,010
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Cited by
Gut microbiota and cardiovascular disease.
Witkowski, M., Weeks, T. L., & Hazen, S. L. (2020) · Circulation Research · doi:10.1161/circresaha.120.316242 · Cited by 1,051
Berberine in Cardiovascular and Metabolic Diseases: From Mechanisms to Therapeutics
Feng, X., Sureda, A., Jafari, S., Memariani, Z., Tewari, D., Annunziata, G., Barrea, L., Hassan, S. T. S., Šmejkal, K., Malaník, M., et al. (2019) · Theranostics · doi:10.7150/thno.30787 · Cited by 465
Cell-cell communication: New insights and clinical implications
Su, J., Song, Y., Zhu, Z., Huang, X., Fan, J., Qiao, J., & Mao, F. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01888-z · Cited by 433
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
Systemic inflammation after stroke: implications for post‐stroke comorbidities
Simats, A., & Liesz, A. (2022) · EMBO Molecular Medicine · doi:10.15252/emmm.202216269 · Cited by 276
Metadata
- Authors
- Geovanini, G. R., & Libby, P.
- Venue
- Clinical Science
- Publisher
- Portland Press Ltd.
- Published
- 2018-06-21
- Volume
- 132
- Issue
- 12
- Pages
- 1243-1252
- ISSN
- 0143-5221 (ISSN-L)
- 1470-8736
- OpenAlex
- W2809632591
- Cited by
- 703
- References
- 21
- FWCI
- 26.51
- Type
- journal article
- Language
- en
- Open access
- closed
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