1 Plichart, M. et al. Carotid intima-media thickness in plaque-free site, carotid plaques and coronary heart disease risk prediction in older adults. The Three-City Study. Atherosclerosis 219, 917-924, doi:10.1016/j.atherosclerosis.2011.09.024 (2011).
2 Wang, X. et al. Carotid Atherosclerosis Detected by Ultrasonography: A National Cross-Sectional Study. J Am Heart Assoc 7, doi:10.1161/JAHA.118.008701 (2018).
3 Nambi, V. et al. Common carotid artery intima-media thickness is as good as carotid intima-media thickness of all carotid artery segments in improving prediction of coronary heart disease risk in the Atherosclerosis Risk in Communities (ARIC) study. Eur Heart J 33, 183-190, doi:10.1093/eurheartj/ehr192 (2012).
4 Franceschini, N. et al. GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes. Nat Commun 9, 5141, doi:10.1038/s41467-018-07340-5 (2018).
5 Doring, Y., Pawig, L., Weber, C. & Noels, H. The CXCL12/CXCR4 chemokine ligand/receptor axis in cardiovascular disease. Front Physiol 5, 212, doi:10.3389/fphys.2014.00212 (2014).
6 Sbrana, S. et al. Blood Monocyte Phenotype Fingerprint of Stable Coronary Artery Disease: A Cross-Sectional Substudy of SMARTool Clinical Trial. Biomed Res Int 2020, 8748934, doi:10.1155/2020/8748934 (2020).
7 S. Abi-Younes, A. S., F. Mach, G.K. Sukhova, P. Libby, A.D. Luster. The Stromal Cell–Derived Factor-1 Chemokine Is a Potent Platelet Agonist Highly Expressed in Atherosclerotic Plaques. Circulation Research 82, 131-138 (2000).
8 Merckelbach, S. et al. Expression and Cellular Localization of CXCR4 and CXCL12 in Human Carotid Atherosclerotic Plaques. Thromb Haemost 118, 195-206, doi:10.1160/TH17-04-0271 (2018).
9 Kontos, C. et al. Designed CXCR4 mimic acts as a soluble chemokine receptor that blocks atherogenic inflammation by agonist-specific targeting. Nat Commun 11, 5981, doi:10.1038/s41467-020-19764-z (2020).
10 Witte, A. et al. The chemokine CXCL14 mediates platelet function and migration via direct interaction with CXCR4. Cardiovasc Res, doi:10.1093/cvr/cvaa080 (2020).
11 Baba, O. et al. CXCR4-Binding Positron Emission Tomography Tracers Link Monocyte Recruitment and Endothelial Injury in Murine Atherosclerosis. Arterioscler Thromb Vasc Biol, ATVBAHA120315053, doi:10.1161/ATVBAHA.120.315053 (2020).
12 Li, X. et al. [68Ga]Pentixafor-PET/MRI for the detection of Chemokine receptor 4 expression in atherosclerotic plaques. Eur J Nucl Med Mol Imaging 45, 558-566, doi:10.1007/s00259-017-3831-0 (2018).
13 Li, X. et al. [(68)Ga]Pentixafor PET/MR imaging of chemokine receptor 4 expression in the human carotid artery. Eur J Nucl Med Mol Imaging 46, 1616-1625, doi:10.1007/s00259-019-04322-7 (2019).
14 Weiberg, D. et al. Clinical Molecular Imaging of Chemokine Receptor CXCR4 Expression in Atherosclerotic Plaque Using (68)Ga-Pentixafor PET: Correlation with Cardiovascular Risk Factors and Calcified Plaque Burden. J Nucl Med 59, 266-272, doi:10.2967/jnumed.117.196485 (2018).
15 Kircher, M. et al. Imaging Inflammation in Atherosclerosis with CXCR4-Directed (68)Ga-Pentixafor PET/CT: Correlation with (18)F-FDG PET/CT. J Nucl Med 61, 751-756, doi:10.2967/jnumed.119.234484 (2020).
16 Doring, Y. et al. Vascular CXCR4 Limits Atherosclerosis by Maintaining Arterial Integrity: Evidence From Mouse and Human Studies. Circulation 136, 388-403, doi:10.1161/CIRCULATIONAHA.117.027646 (2017).
17 Doring, Y. et al. B-Cell-Specific CXCR4 Protects Against Atherosclerosis Development and Increases Plasma IgM Levels. Circ Res 126, 787-788, doi:10.1161/CIRCRESAHA.119.316142 (2020).
18 Upadhye, A. et al. Diversification and CXCR4-Dependent Establishment of the Bone Marrow B-1a Cell Pool Governs Atheroprotective IgM Production Linked to Human Coronary Atherosclerosis. Circ Res 125, e55-e70, doi:10.1161/CIRCRESAHA.119.315786 (2019).
19 Li, X. et al. The Regulation of Exosome-Derived miRNA on Heterogeneity of Macrophages in Atherosclerotic Plaques. Front Immunol 11, 2175, doi:10.3389/fimmu.2020.02175 (2020).
20 (!!! INVALID CITATION !!! 26).
21 Zheng, Y. et al. Structure of CC chemokine receptor 2 with orthosteric and allosteric antagonists. Nature 540, 458-461, doi:10.1038/nature20605 (2016).
22 Taylor, B. C., Lee, C. T. & Amaro, R. E. Structural basis for ligand modulation of the CCR2 conformational landscape. Proc Natl Acad Sci U S A 116, 8131-8136, doi:10.1073/pnas.1814131116 (2019).
23 Maulik D Majmudar, E. J. K., Timo Heidt, Florian Leuschner, Jessica Truelove, Brena F Sena, Rostic Gorbatov, Yoshiko Iwamoto, Partha Dutta, Gregory Wojtkiewicz, Gabriel Courties, Matt Sebas, Anna Borodovsky, Kevin Fitzgerald, Marc W Nolte, Gerhard Dickneite, John W Chen, Daniel G Anderson, Filip K Swirski, Ralph Weissleder, Matthias Nahrendorf. Monocyte-directed RNAi targeting CCR2 improves infarct healing in atherosclerosis-prone mice. Circulation 127, 2038-2046, doi:10.1161/CIRCULATIONAHA (2013).
24 Oh, S. et al. Pyrogallol-Phloroglucinol-6,6-Bieckolon Attenuates Vascular Smooth Muscle Cell Proliferation and Phenotype Switching in Hyperlipidemia through Modulation of Chemokine Receptor 5. Mar Drugs 18, doi:10.3390/md18080393 (2020).
25 Vangelista, L. & Vento, S. The Expanding Therapeutic Perspective of CCR5 Blockade. Front Immunol 8, 1981, doi:10.3389/fimmu.2017.01981 (2017).
26 Pai, J. K. et al. Polymorphisms in the CC-chemokine receptor-2 (CCR2) and -5 (CCR5) genes and risk of coronary heart disease among US women. Atherosclerosis 186, 132-139, doi:10.1016/j.atherosclerosis.2005.06.041 (2006).
27 Sharda, S. et al. Chemokine receptor 5 (CCR5) deletion polymorphism in North Indian patients with coronary artery disease. Int J Cardiol 124, 254-258, doi:10.1016/j.ijcard.2006.12.021 (2008).
28 Niyonzima, N. et al. Cholesterol crystals use complement to increase NLRP3 signaling pathways in coronary and carotid atherosclerosis. EBioMedicine 60, 102985, doi:10.1016/j.ebiom.2020.102985 (2020).
29 Fitzgibbons, T. P. et al. Coronary disease is not associated with robust alterations in inflammatory gene expression in human epicardial fat. JCI Insight 4, doi:10.1172/jci.insight.124859 (2019).
30 Xia, J., Gill, E. E. & Hancock, R. E. NetworkAnalyst for statistical, visual and network-based meta-analysis of gene expression data. Nat Protoc 10, 823-844, doi:10.1038/nprot.2015.052 (2015).
31 Chen, C. et al. TBtools: An Integrative Toolkit Developed for Interactive Analyses of Big Biological Data. Mol Plant 13, 1194-1202, doi:10.1016/j.molp.2020.06.009 (2020).
32 Huang da, W., Sherman, B. T. & Lempicki, R. A. Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Res 37, 1-13, doi:10.1093/nar/gkn923 (2009).
33 Huang da, W., Sherman, B. T. & Lempicki, R. A. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc 4, 44-57, doi:10.1038/nprot.2008.211 (2009).
34 Zhou, Y. et al. Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. Nat Commun 10, 1523, doi:10.1038/s41467-019-09234-6 (2019).
35 Szklarczyk, D. et al. STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res 47, D607-D613, doi:10.1093/nar/gky1131 (2019).