Inflammation and features of the vulnerable plaque: from mechanisms and imaging to outcomes
Open accessAbstract
For the podcast associated with this article, please visit https://academic.oup.com/eurheartj/pages/Podcasts. The understanding of atherosclerosis has been markedly expanded in the last two decades with insights into inflammation as a major component of plaque development, erosion, and rupture. Although there is an overlap between cholesterol and inflammation, both are contributors to atherosclerosis in their own right.1 While atherosclerosis is a chronic inflammation induced by cholesterol, as the late Rudolf Virchow stated, inflammation alters endothelial function and contributes to the disease process also independently of lipids as documented by experimental2 and clinical studies.3–5 Inflammation importantly contributes to the vulnerability of plaques which are the substrate of acute coronary occlusion.6 A novel mechanism of plaque vulnerability, i.e. the glucocorticoid-induced tumour necrosis factor receptor family-related protein (GITR) an immune checkpoint protein regulating T cells, is presented in the article ‘Glucocorticoid-induced tumour necrosis factor receptor family-related protein (GITR) drives atherosclerosis in mice and is associated with an unstable plaque phenotype and cerebrovascular events in humans’ by Esther Lutgens and colleagues from the University of Amsterdam in the Netherlands.7 In patients with cerebrovascular events, GITR expression was elevated in carotid endarterectomy specimens compared with asymptomatic patients and correlated with parameters of plaque vulnerability such as an increased content of plaque macrophage, lipid, glycophorin A, interleukin-6 (IL-6) and IL-12, and C-C-chemokine ligand-2. Furthermore, soluble GITR levels were elevated in plasma from cardiovascular (CV) patients compared with healthy controls. The molecular mechanisms were assessed in Gitr–/–/Apoe–/– double knockout mice in which plaques were reduced and contained fewer macrophages, a smaller necrotic core, and thicker fibrous caps. RNA-sequencing of Gitr–/–/Apoe–/– and Apoe–/– monocytes and macrophages revealed altered pathways of cell migration, activation, and mitochondrial function, with decreased integrin levels, reduced recruitment to endothelium, and fewer reactive oxygen species. Likewise, GITR-deficient macrophages produced fewer cytokines and had a reduced migratory capacity. Thus, the immune checkpoint GITR drives myeloid cell recruitment and activation in atherosclerosis, thereby inducing plaque growth and vulnerability in mice and human plaques. GITR has the potential to become a novel therapeutic target in atherosclerosis (Figure 1), a conclusion that is further discussed in a educational Editorial by Michael Joner and colleagues from the Deutsches Herzzentrum Munchen in Germany.8 Our data reveal a novel role for the immune checkpoint GITR in driving myeloid cell recruitment and activation in atherosclerosis, thereby inducing plaque growth and vulnerability in mice. In humans, elevated GITR expression in carotid plaques is associated with a vulnerable plaque phenotype and adverse cerebrovascular events. (This figure was created in part using templates modified from Servier Medical Art (Mountain View, CA, USA, www.servier.com, licensed under a Creative Commons Attribution 3.0 Unported Licence) (from Shami A, Atzler D, Bosmans LA, Winkels H, Meiler S, Lacy M, van Tiel C, Ta Megens R, Nitz K, Baardman J, Kusters P, Seijkens T, Buerger C, Janjic A, Riccardi C, Edsfeldt A, Monaco C, Daemen M, de Winther MPJ, Nilsson J, Weber C, Gerdes N, Gonçalves I, Lutgens E. Glucocorticoid-induced tumour necrosis factor receptor family-related protein (GITR) drives atherosclerosis in mice and is associated with an unstable plaque phenotype and cerebrovascular events in humans. See pages 2938–2948). Our data reveal a novel role for the immune checkpoint GITR in driving myeloid cell recruitment and activation in atherosclerosis, thereby inducing plaque growth and vulnerability in mice. In humans, elevated GITR expression in carotid plaques is associated with a vulnerable plaque phenotype and adverse cerebrovascular events. (This figure was created in part using templates modified from Servier Medical Art (Mountain View, CA, USA, www.servier.com, licensed under a Creative Commons Attribution 3.0 Unported Licence) (from Shami A, Atzler D, Bosmans LA, Winkels H, Meiler S, Lacy M, van Tiel C, Ta Megens R, Nitz K, Baardman J, Kusters P, Seijkens T, Buerger C, Janjic A, Riccardi C, Edsfeldt A, Monaco C, Daemen M, de Winther MPJ, Nilsson J, Weber C, Gerdes N, Gonçalves I, Lutgens E. Glucocorticoid-induced tumour necrosis factor receptor family-related protein (GITR) drives atherosclerosis in mice and is associated with an unstable plaque phenotype and cerebrovascular events in humans. See pages 2938–2948). Age-related dysbiosis enhances inflamm-ageing eventually accelerating atherogenesis. Age-related dysbiosis enhances inflamm-ageing eventually accelerating atherogenesis. With ageing several endogenous and exogen
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Inflammation alters endothelial function and contributes to the vulnerability of plaques regardless of LDL-C levels.
“Inflammation alters endothelial function and contributes to the vulnerability of plaques regardless of LDL-C levels (26).”
From Triglycerides and residual atherosclerotic risk (2021) · cites this paper as [26]
Cites
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 · see citing works
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 · see citing works
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 · see citing works
The Prognostic Value of C-Reactive Protein and Serum Amyloid A Protein in Severe Unstable Angina
Liuzzo, G., Biasucci, L. M., Gallimore, J. R., Grillo, R. L., Rebuzzi, A. G., Pepys, M. B., & Maseri, A. (1994) · New England Journal of Medicine · doi:10.1056/nejm199408183310701 · Cited by 2,354 · see citing works
(2012) · The Lancet · doi:10.1016/s0140-6736(12)60110-x · Cited by 1,146 · see citing works
European Society of Cardiology: Cardiovascular Disease Statistics 2019
Timmis, A., Townsend, N. P., Gale, C. P., Torbica, A., Lettino, M., Petersen, S. E., Mossialos, E. A., Maggioni, A. P., Kazakiewicz, D., May, H. T., et al. (2019) · European Heart Journal · doi:10.1093/eurheartj/ehz859 · Cited by 1,035 · see citing works
Anti-inflammatory therapies for cardiovascular disease
Ridker, P. M., & Lüscher, T. F. (2014) · European Heart Journal · doi:10.1093/eurheartj/ehu203 · Cited by 558 · see citing works
Self-citationRidker, P. M., Libby, P., MacFadyen, J. G., Thuren, T. Y., Ballantyne, C. M., Fonseca, F. A. H., Köenig, W., Shimokawa, H., Everett, B. M., & Glynn, R. J. (2018) · European Heart Journal · doi:10.1093/eurheartj/ehy310 · Cited by 556 · see citing works
Targeting cardiovascular inflammation: next steps in clinical translation
Lawler, P. R., Bhatt, D. L., Godoy, L. C., Lüscher, T. F., Bonow, R. O., Verma, S., & Ridker, P. M. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehaa099 · Cited by 454 · see citing works
Self-citationInflamm-ageing: the role of inflammation in age-dependent cardiovascular disease
Liberale, L., Montecucco, F., Tardif, J., Libby, P., & Camici, G. G. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehz961 · Cited by 347 · see citing works
Johnson, T., Räber, L., Mario, C. D., Bourantas, C. V., Jia, H., Mattesini, A., Gonzalo, N., Hernández, J. M. D. L. T., Prati, F., Koskinas, K. C., et al. (2019) · European Heart Journal · doi:10.1093/eurheartj/ehz332 · Cited by 310 · see citing works
Ridker, P. M., MacFadyen, J. G., Thuren, T. Y., & Libby, P. (2019) · European Heart Journal · doi:10.1093/eurheartj/ehz542 · Cited by 241 · see citing works
Vulnerable plaques and patients: state-of-the-art
Tomaniak, M., Katagiri, Y., Modolo, R., de Silva, R., Khamis, R. Y., Bourantas, C. V., Torii, R., Wentzel, J. J., Gijsen, F. J. H., van Soest, G., et al. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehaa227 · Cited by 197 · see citing works
Self-citationSenescence-induced inflammation: an important player and key therapeutic target in atherosclerosis
Stojanović, S. D., Fiedler, J., Bauersachs, J., Thum, T., & Sedding, D. G. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehz919 · Cited by 188 · see citing works
Imaging residual inflammatory cardiovascular risk
Antoniades, C. A., Antonopoulos, A. S., & Deanfield, J. E. (2019) · European Heart Journal · doi:10.1093/eurheartj/ehz474 · Cited by 181 · see citing works
Ridker, P. M., MacFadyen, J. G., Glynn, R. J., Bradwin, G., Hasan, A., & Rifai, N. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehaa160 · Cited by 164 · see citing works
Stage-dependent differential effects of interleukin-1 isoforms on experimental atherosclerosis
Vromman, A., Ruvkun, V., Shvartz, E., Wojtkiewicz, G. R., Masson, G. S., Tesmenitsky, Y., Folco, E. J. E., Gram, H., Nahrendorf, M., Świrski, F. K., et al. (2019) · European Heart Journal · doi:10.1093/eurheartj/ehz008 · Cited by 126 · see citing works
Liberale, L., Gaul, D. S., Akhmedov, A. T., Bonetti, N. R., Nageswaran, V., Costantino, S., Pahla, J., Weber, J., Fehr, V., Vdovenko, D., et al. (2019) · European Heart Journal · doi:10.1093/eurheartj/ehz712 · Cited by 95 · see citing works
Self-citationMortensen, M. B., & Nordestgaard, B. G. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehaa150 · Cited by 52 · see citing works
Shami, A., Atzler, D., Bosmans, L. A., Winkels, H., Meiler, S. U., Lacy, M., van Tiel, C. M., Megens, R. T. A., Nitz, K., Baardman, J., et al. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehaa484 · Cited by 39 · see citing works
Shishikura, D., Kataoka, Y., Giovanni, G. D., Takata, K., Scherer, D. J., Andrews, J., Psaltis, P. J., Puri, R., Wolski, K., Nissen, S. E., et al. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehaa173 · Cited by 36 · see citing works
Roffi, M., Patrono, C., & Zamorano, J. L. (2016) · European Heart Journal · doi:10.1093/eurheartj/ehv654 · Cited by 21 · see citing works
Mast cell tryptase level should be checked in all patients with suspected Kounis syndrome
Khan, S. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehaa548 · Cited by 15 · see citing works
Köenig, W. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehaa186 · Cited by 13 · see citing works
Intravascular ultrasound-confirmed plaque rupture following multiple bee stings
Sakaue, T., Inaba, S., Sumimoto, T., & Saito, M. (2019) · European Heart Journal · doi:10.1093/eurheartj/ehz789 · Cited by 4 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Triglycerides and residual atherosclerotic risk
Raposeiras-Roubin, S., Rosselló, X., Oliva, B., Fernández-Friera, L., Mendiguren, J. M., Andrés, V., Bueno, H., Sanz, J., Martínez de Vega, V., Abu-Assi, E., et al. (2021) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2021.04.059 · Cited by 254 · see citing works
Inflammatory factors driving atherosclerotic plaque progression new insights
Song, B., Bie, Y.-L., Feng, H., Xie, B., Liu, M., & Zhao, F. (2022) · Journal of Translational Internal Medicine · doi:10.2478/jtim-2022-0012 · Cited by 74 · see citing works
Wu, Z., Liao, F., Luo, G., Qian, Y., He, X., Xu, W., Ding, S. Z., & Pu, J. (2021) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2021/5217572 · Cited by 26 · see citing works
Lu, X., Calabretta, R., Wadsak, W., Haug, A. R., Mayerhöfer, M., Raderer, M., Zhang, X., Li, J., Hacker, M., & Li, X. (2022) · Life · doi:10.3390/life12071039 · Cited by 17 · see citing works
Liu, S., Zhang, H., Wu, M., Zhou, Z., Xiao, Y., Wan, Q., Lan, Z., & Rong, C. (2024) · Clinical and Experimental Hypertension · doi:10.1080/10641963.2024.2383232 · Cited by 13 · see citing works
Sopić, M., Kararigas, G., Devaux, Y., & Magni, P. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehad153 · Cited by 11 · see citing works
Crea, F. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehac785 · Cited by 10 · see citing works
Elevated uric acid is related to the no‐/slow‐reflow phenomenon in STEMI undergoing primary PCI
Hu, X., Yang, X., Li, X., Li, G., Zhou, Y., & Dong, H. (2021) · European Journal of Clinical Investigation · doi:10.1111/eci.13719 · Cited by 10 · see citing works
Ferroptosis: A potential target of macrophages in plaque vulnerability
Li, Y., Ma, J., Wang, C.-C., Zhou, J., Sun, Y., Wei, X., & Zhao, Z. (2023) · Open Life Sciences · doi:10.1515/biol-2022-0722 · Cited by 9 · see citing works
Arnaboldi, L., CORSINI, A., & BELLOSTA, S. (2022) · Minerva Medica · doi:10.23736/s0026-4806.21.07950-7 · Cited by 9 · see citing works
NINJ1 and MMP9: potential biomarkers for intracranial atherosclerosis plaque vulnerability
Wei, X., Da, X., Zhang, Y., Li, Z., Liu, B., Yan, R., Zhong, H., & Yuan, B. (2025) · Frontiers in Neurology · doi:10.3389/fneur.2025.1552948 · Cited by 7 · see citing works
Hao, J., Chen, R., Abudukeremu, D., Li, X., Zhang, Y., Wang, L., Fan, C., Yang, C., Ning, X., Wang, J., et al. (2025) · BMC Endocrine Disorders · doi:10.1186/s12902-025-02099-5 · Cited by 3 · see citing works
Lyu, H., Fan, N., Wen, H., Zhang, X., Mao, H., Bian, Q., & Chen, J. (2025) · Nutrition & Metabolism · doi:10.1186/s12986-025-00896-2 · Cited by 2 · see citing works
Impacto de la diabetes en el riesgo cardiovascular en pacientes con dislipidemia
Peña-Rodríguez, G., Gallardo-Hernández, A. G., Llerena-García, C. G., Maldonado-Burgos, M. A., & Escobedo-Naurisa, E. (2024) · Archivos de cardiología de México · doi:10.24875/acm.23000042 · Cited by 1 · see citing works
Impact of diabetes on cardiovascular risk in patients with dyslipidemia
Peña-Rodríguez, G., Gallardo-Hernández, A. G., Llerena-García, C. G., Maldonado-Burgos, M. A., & Escobedo-Naurisa, E. (2024) · Archivos de cardiolog�a de M�xico (English ed Internet) · doi:10.24875/acme.m24000483
Zheng, H., Li, X. J., Ru, J., Meng, Z., Liu, W., Jia, T., Zhang, S., Deng, Q., Huang, W., Dong, R., et al. (2026) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2026.1874530
- Authors
- Lüscher, T. F.
- Affiliations
- University of Zurich (CH)
- Corresponding author
- Lüscher, Thomas F
- ORCID
- Lüscher, Thomas F
- Venue
- European Heart Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-08-14
- Volume
- 41
- Issue
- 31
- Pages
- 2923-2927
- ISSN
- 0195-668X (ISSN-L)
- 1522-9645
- OpenAlex
- W3082884533
- Cited by
- 16
- References
- 25
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 3 · 2023: 3 · 2022: 3 · 2021: 3
- FWCI
- 0.79
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- European Heart Journal (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Atherosclerosis and Cardiovascular Diseases
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cerebrovascular and Carotid Artery Diseases
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
- Keywords
- atherosclerosis, plaque vulnerability, inflammation, GITR, immune checkpoint, macrophage recruitment, myeloid cells, plaque rupture, acute coronary occlusion, cerebrovascular events, carotid endarterectomy, necrotic core, fibrous cap, cholesterol, endothelial function, therapeutic target, ApoE-deficient mice
- MeSH terms
- Diagnostic Imaging, Humans, Inflammation, Plaque, Atherosclerotic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review