The DOI matches its Crossref record; 152 of the 155 references it cites were found in a registry or an index.
Monocyte-Macrophages and T Cells in Atherosclerosis
Open accessAbstract
Atherosclerosis is an arterial disease process characterized by the focal subendothelial accumulation of apolipoprotein-B-containing lipoproteins, immune and vascular wall cells, and extracellular matrix. The lipoproteins acquire features of damage-associated molecular patterns and trigger first an innate immune response, dominated by monocyte-macrophages, and then an adaptive immune response. These inflammatory responses often become chronic and non-resolving and can lead to arterial damage and thrombosis-induced organ infarction. The innate immune response is regulated at various stages, from hematopoiesis to monocyte changes and macrophage activation. The adaptive immune response is regulated primarily by mechanisms that affect the balance between regulatory and effector T cells. Mechanisms related to cellular cholesterol, phenotypic plasticity, metabolism, and aging play key roles in affecting these responses. Herein, we review select topics that shed light on these processes and suggest new treatment strategies.
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“Immunosuppressive drug regimens may have adverse effects on lipid metabolism leading to increases in TC, VLDL, and TGs, and in the size and density of LDL particles.”
From 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk (2019) · cites this paper as [502]
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“These effects vary with different immunosuppressive drugs [497,498,502-506].”
From 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk (2019) · cites this paper as [502]
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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
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
Lusis, A. J. (2000) · Nature · doi:10.1038/35025203 · Cited by 4,880
Age-related clonal hematopoiesis associated with adverse outcomes
Jaiswal, S., Fontanillas, P., Flannick, J., Manning, A., Grauman, P. V., Mar, B. G., Lindsley, R. C., Mermel, C. H., Burtt, N., Chavez, A., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1408617 · Cited by 4,841
Cytokine-mediated regulation of CXCR4 expression in human neutrophils
Nagase, H., Miyamasu, M., Yamaguchi, M., Imanishi, M., Tsuno, N. H., Matsushima, K., Yamamoto, K., Morita, Y., & Hirai, K. (2002) · Journal of Leukocyte Biology · doi:10.1189/jlb.71.4.711 · Cited by 4,713
NLRP3 inflammasomes are required for atherogenesis and activated by cholesterol crystals
Duewell, P., Kono, H., Rayner, K. J., Sirois, C. M., Vladimer, G., Bauernfeind, F. G., Abela, G. S., Franchi, L., Nuñez, G., Schnurr, M., et al. (2010) · Nature · doi:10.1038/nature08938 · Cited by 4,026 · cited 1×
“Although cholesterol crystals have been implicated in this process (Duewell et al., 2010; Sheedy et al., 2013), other mechanisms are likely to contribute as well (Hoseini et al., 2017).”
Glass, C. K., & Witztum, J. L. (2001) · Cell · doi:10.1016/s0092-8674(01)00238-0 · Cited by 3,094
Trained immunity: A program of innate immune memory in health and– disease
Netea, M. G., Joosten, L. A. B., Latz, E., Mills, K. H. G., Natoli, G., Stunnenberg, H. G., O’Neill, L. A. J., & Xavier, R. J. (2016) · Science · doi:10.1126/science.aaf1098 · Cited by 2,768
Clonal hematopoiesis and risk of atherosclerotic cardiovascular disease
Jaiswal, S., Natarajan, P., Silver, A. J., Gibson, C. J., Bick, A. G., Shvartz, E., McConkey, M., Gupta, N., Gabriel, S., Ardissino, D., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1701719 · Cited by 2,683
Lakatta, E. G., & Levy, D. (2003) · Circulation · doi:10.1161/01.cir.0000048892.83521.58 · Cited by 2,244
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Mach, F., Baigent, C., Catapano, A. L., Koskinas, K. C., Casula, M., Badimon, L., Chapman, M. J., De Backer, G. G., Delgado, V., Ference, B. A., et al. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehz455 · Cited by 8,961
Mach, F., Baigent, C., Catapano, A. L., Koskinas, K. C., Casula, M., Badimon, L., Chapman, M. J., De Backer, G. G., Delgado, V., Ference, B. A., et al. (2019) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2019.08.014 · Cited by 4,854
Diversity, Mechanisms, and Significance of Macrophage Plasticity
Locati, M., Curtale, G., & Mantovani, A. (2020) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathmechdis-012418-012718 · Cited by 2,199
Borén, J., Chapman, M. J., Krauss, R. M., Packard, C. J., Bentzon, J. F., Binder, C. J., Daemen, M. J., Demer, L. L., Hegele, R. A., Nicholls, S. J., et al. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehz962 · Cited by 1,601
IFNγ: signalling, epigenetics and roles in immunity, metabolism, disease and cancer immunotherapy
Ivashkiv, L. B. (2018) · Nature reviews. Immunology · doi:10.1038/s41577-018-0029-z · Cited by 1,418
Metadata
- Authors
- Tabas, I., & Lichtman, A. H.
- Affiliations
- Columbia University Irving Medical Center (US)
- Brigham and Women's Hospital (US)
- Corresponding author
- Tabas, Ira
- Lichtman, Andrew H.
- Venue
- Immunity
- Publisher
- Elsevier BV
- Published
- 2017-10
- Volume
- 47
- Issue
- 4
- Pages
- 621-634
- ISSN
- 1074-7613 (ISSN-L)
- PMC
- PMC5747297
- OpenAlex
- W2766451938
- Cited by
- 646
- References
- 155
- Citations by year
- 2026: 53 · 2025: 57 · 2024: 72 · 2023: 65 · 2022: 86 · 2021: 102 · 2020: 80 · 2019: 78 · 2018: 49 · 2017: 4
- FWCI
- 6.01
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Immunity (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIH (R01 HL132412, HL127464, HL075662, P01 HL087123, R01 HL087282, HL131862)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Atherosclerosis and Cardiovascular Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Cholesterol and Lipid Metabolism
- Life Sciences › Immunology and Microbiology › Immunology › Immune cells in cancer
- Keywords
- atherosclerosis, monocytes/macrophages, T cells, innate immune response, adaptive immune response, damage-associated molecular patterns, apolipoprotein B-containing lipoproteins, macrophage activation, regulatory T cells, effector T cells, chronic inflammation, thrombosis, hematopoiesis, cholesterol, phenotypic plasticity, aging, atherosclerosis treatment
- MeSH terms
- Animals, Humans, Immunity, Innate, Lipoproteins, Macrophages, Monocytes, T-Lymphocytes, Models, Immunological, Atherosclerosis, Adaptive Immunity
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