Use of Machine Learning for the Identification and Validation of Immunogenic Cell Death Biomarkers and Immunophenotypes in Coronary Artery Disease

References

• Timmis A, Townsend N, Gale CP, et al. European society of cardiology: cardiovascular disease statistics 2019. Eur Heart J. 2020;41(1):12–85. doi:10.1093/eurheartj/ehz859
   PubMed Web of Science ®Google Scholar
• Legein B, Temmerman L, Biessen EA, Lutgens E. Inflammation and immune system interactions in atherosclerosis. Cell Mol Life Sci. 2013;70(20):3847–3869. doi:10.1007/s00018-013-1289-1
   PubMed Web of Science ®Google Scholar
• Ketelhuth DF, Hansson GK. Adaptive response of T and B cells in atherosclerosis. Circ Res. 2016;118(4):668–678. doi:10.1161/CIRCRESAHA.115.306427
   PubMed Web of Science ®Google Scholar
• Tabas I, Bornfeldt KE. Macrophage phenotype and function in different stages of atherosclerosis. Circ Res. 2016;118(4):653–667. doi:10.1161/CIRCRESAHA.115.306256
   PubMed Web of Science ®Google Scholar
• Winkels H, Ehinger E, Vassallo M, et al. Atlas of the immune cell repertoire in Mouse atherosclerosis defined by single-cell RNA-sequencing and mass cytometry. Circ Res. 2018;122(12):1675–1688. doi:10.1161/CIRCRESAHA.117.312513
   PubMed Web of Science ®Google Scholar
• Roy P, Orecchioni M, Ley K. How the immune system shapes atherosclerosis: roles of innate and adaptive immunity. Nat Rev Immunol. 2022;22(4):251–265. doi:10.1038/s41577-021-00584-1
   PubMed Web of Science ®Google Scholar
• Ridker PM, Everett BM, Thuren T, et al. Antiinflammatory therapy with canakinumab for atherosclerotic disease. N Engl J Med. 2017;377(12):1119–1131. doi:10.1056/NEJMoa1707914
   PubMed Web of Science ®Google Scholar
• Ridker PM, Everett BM, Pradhan A, et al. Low-dose methotrexate for the prevention of atherosclerotic events. N Engl J Med. 2019;380(8):752–762. doi:10.1056/NEJMoa1809798
   PubMed Web of Science ®Google Scholar
• Engelen SE, Robinson AJB, Zurke YX, Monaco C. Therapeutic strategies targeting inflammation and immunity in atherosclerosis: how to proceed? Nat Rev Cardiol. 2022;19(8):522–542. doi:10.1038/s41569-021-00668-4
   PubMed Web of Science ®Google Scholar
• Galluzzi L, Vitale I, Aaronson SA, et al. Molecular mechanisms of cell death: recommendations of the nomenclature committee on cell death 2018. Cell Death Differ. 2018;25(3):486–541. doi:10.1038/s41418-017-0012-4
   PubMed Web of Science ®Google Scholar
• Pfirschke C, Engblom C, Rickelt S, et al. Immunogenic chemotherapy sensitizes tumors to checkpoint blockade therapy. Immunity. 2016;44(2):343–354. doi:10.1016/j.immuni.2015.11.024
   PubMed Web of Science ®Google Scholar
• Voorwerk L, Slagter M, Horlings HM, et al. Immune induction strategies in metastatic triple-negative breast cancer to enhance the sensitivity to PD-1 blockade: the TONIC trial. Nat Med. 2019;25(6):920–928. doi:10.1038/s41591-019-0432-4
   PubMed Web of Science ®Google Scholar
• Bonfiglio CA, Weber C, Atzler D, Lutgens E. Immunotherapy and cardiovascular diseases: novel avenues for immunotherapeutic approaches. Q J M. 2023;116(4):271–278. doi:10.1093/qjmed/hcab207
   Google Scholar
• Xie W, Forveille S, Iribarren K, et al. Lurbinectedin synergizes with immune checkpoint blockade to generate anticancer immunity. Oncoimmunology. 2019;8(11):e1656502. doi:10.1080/2162402X.2019.1656502
   PubMed Web of Science ®Google Scholar
• Kepp O, Zitvogel L, Kroemer G. Lurbinectedin: an FDA-approved inducer of immunogenic cell death for the treatment of small-cell lung cancer. Oncoimmunology. 2020;9(1):1795995. doi:10.1080/2162402X.2020.1795995
   PubMed Web of Science ®Google Scholar
• Montes de Oca R, Alavi AS, Vitali N, et al. Belantamab mafodotin (GSK2857916) drives immunogenic cell death and immune-mediated antitumor responses in vivo. Mol Cancer Ther. 2021;20(10):1941–1955. doi:10.1158/1535-7163.MCT-21-0035
   PubMed Web of Science ®Google Scholar
• Du Y, Hu Y, Wen N, et al. Abnormal expression of TGFBR2, EGF, LRP10, and IQGAP1 is involved in the pathogenesis of coronary artery disease. Rev Cardiovasc Med. 2021;22(3):947–958. doi:10.31083/j.rcm2203103
   PubMed Web of Science ®Google Scholar
• Feng X, Zhang Y, Du M, et al. Identification of diagnostic biomarkers and therapeutic targets in peripheral immune landscape from coronary artery disease. J Transl Med. 2022;20(1):399. doi:10.1186/s12967-022-03614-1
   PubMed Web of Science ®Google Scholar
• Liu C, Liu J, Zhang Y, Wang X, Guan Y. Immune-related potential biomarkers and therapeutic targets in coronary artery disease. Front Cardiovasc Med. 2022;9:1055422. doi:10.3389/fcvm.2022.1055422
   PubMed Web of Science ®Google Scholar
• Wei D, Qi J, Wang Y, et al. NR4A2 may be a potential diagnostic biomarker for myocardial infarction: a comprehensive bioinformatics analysis and experimental validation. Front Immunol. 2022;13:1061800. doi:10.3389/fimmu.2022.1061800
   PubMed Web of Science ®Google Scholar
• Zhao S, Wu Y, Wei Y, Xu X, Zheng J. Identification of biomarkers associated with CD8+ T cells in coronary artery disease and their pan-cancer analysis. Front Immunol. 2022;13:876616. doi:10.3389/fimmu.2022.876616
   PubMed Web of Science ®Google Scholar
• Sinnaeve PR, Donahue MP, Grass P, et al. Gene expression patterns in peripheral blood correlate with the extent of coronary artery disease. PLoS One. 2009;4(9):e7037. doi:10.1371/journal.pone.0007037
   PubMed Web of Science ®Google Scholar
• Mahmoud AD, Ballantyne MD, Miscianinov V, et al. The human-specific and smooth muscle cell-enriched LncRNA SMILR promotes proliferation by regulating mitotic CENPF mRNA and drives cell-cycle progression which can be targeted to limit vascular remodeling. Circ Res. 2019;125(5):535–551. doi:10.1161/CIRCRESAHA.119.314876
   PubMed Web of Science ®Google Scholar
• Barrett T, Wilhite SE, Ledoux P, et al. NCBI GEO: archive for functional genomics data sets—update. Nucleic Acids Res. 2013;41:D991–5. doi:10.1093/nar/gks1193
   PubMed Web of Science ®Google Scholar
• Stelzer G, Rosen N, Plaschkes I, et al. The GeneCards Suite: from gene data mining to disease genome sequence analyses. Curr Protoc Bioinformatics. 2016;54:1.30.1–1.30.33. doi:10.1002/cpbi.5
   PubMedGoogle Scholar
• Leek JT, Johnson WE, Parker HS, et al. The sva package for removing batch effects and other unwanted variation in high-throughput experiments. Bioinformatics. 2012;28(6):882–883. doi:10.1093/bioinformatics/bts034
   PubMed Web of Science ®Google Scholar
• Ritchie ME, Phipson B, Wu D, et al. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 2015;43(7):e47. doi:10.1093/nar/gkv007
   PubMed Web of Science ®Google Scholar
• Zhang H, Meltzer P, Davis S. RCircos: an R package for Circos 2D track plots. BMC Bioinf. 2013;14:244. doi:10.1186/1471-2105-14-244
   PubMed Web of Science ®Google Scholar
• Robin X, Turck N, Hainard A, et al. pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinf. 2011;12:77. doi:10.1186/1471-2105-12-77
   PubMed Web of Science ®Google Scholar
• Fitzgerald M, Saville BR, Lewis RJ. Decision curve analysis. JAMA. 2015;313(4):409–410. doi:10.1001/jama.2015.37
   PubMed Web of Science ®Google Scholar
• Van Calster B, Wynants L, Verbeek JFM, et al. Reporting and interpreting decision curve analysis: a guide for investigators. Eur Urol. 2018;74(6):796–804. doi:10.1016/j.eururo.2018.08.038
   PubMed Web of Science ®Google Scholar
• Milošević D, Medeiros AS, Stojković Piperac MS, et al. The application of Uniform Manifold Approximation and Projection (UMAP) for unconstrained ordination and classification of biological indicators in aquatic ecology. Sci Total Environ. 2022;815:152365. doi:10.1016/j.scitotenv.2021.152365
   PubMed Web of Science ®Google Scholar
• Ashburner M, Ball CA, Blake JA, et al. Gene ontology: tool for the unification of biology. Gene Ontology Consortium Nat Genet. 2000;25(1):25–29.
   PubMed Web of Science ®Google Scholar
• Kanehisa M, Goto S. KEGG: Kyoto Encyclopedia of Genes and Genomes. Nucleic Acids Res. 2000;28(1):27–30. doi:10.1093/nar/28.1.27
   PubMed Web of Science ®Google Scholar
• Yu G, Wang LG, Han Y, He QY. clusterProfiler: an R package for comparing biological themes among gene clusters. Omics. 2012;16(5):284–287. doi:10.1089/omi.2011.0118
   PubMed Web of Science ®Google Scholar
• Wu T, Hu E, Xu S, et al. clusterProfiler 4.0: a universal enrichment tool for interpreting omics data. Innovation. 2021;2(3):100141. doi:10.1016/j.xinn.2021.100141
   Web of Science ®Google Scholar
• Subramanian A, Tamayo P, Mootha VK, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci USA. 2005;102(43):15545–15550. doi:10.1073/pnas.0506580102
   PubMed Web of Science ®Google Scholar
• Liberzon A, Birger C, Thorvaldsdóttir H, Ghandi M, Mesirov JP, Tamayo P. The Molecular Signatures Database (MSigDB) hallmark gene set collection. Cell Syst. 2015;1(6):417–425. doi:10.1016/j.cels.2015.12.004
   PubMed Web of Science ®Google Scholar
• Hänzelmann S, Castelo R, Guinney J. GSVA: gene set variation analysis for microarray and RNA-seq data. BMC Bioinf. 2013;14:7. doi:10.1186/1471-2105-14-7
   PubMed Web of Science ®Google Scholar
• Szklarczyk D, Kirsch R, Koutrouli M, et al. The STRING database in 2023: protein-protein association networks and functional enrichment analyses for any sequenced genome of interest. Nucleic Acids Res. 2023;51(D1):D638–D646. doi:10.1093/nar/gkac1000
   PubMed Web of Science ®Google Scholar
• Zhou J, Xiong W, Wang Y, Guan J. Protein function prediction based on PPI Networks: network reconstruction vs edge enrichment. Front Genet. 2021;12:758131. doi:10.3389/fgene.2021.758131
   PubMed Web of Science ®Google Scholar
• Shannon P, Markiel A, Ozier O, et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13(11):2498–2504. doi:10.1101/gr.1239303
   PubMed Web of Science ®Google Scholar
• Chin CH, Chen SH, Wu HH, Ho CW, Ko MT, Lin CY. cytoHubba: identifying hub objects and sub-networks from complex interactome. BMC Syst Biol. 2014;8(suppl 4):S11. doi:10.1186/1752-0509-8-S4-S11
   PubMed Web of Science ®Google Scholar
• Barbie DA, Tamayo P, Boehm JS, et al. Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1. Nature. 2009;462(7269):108–112. doi:10.1038/nature08460
   PubMed Web of Science ®Google Scholar
• Newman AM, Steen CB, Liu CL, et al. Determining cell type abundance and expression from bulk tissues with digital cytometry. Nat Biotechnol. 2019;37(7):773–782. doi:10.1038/s41587-019-0114-2
   PubMed Web of Science ®Google Scholar
• Wei T, Simko V, Levy M, Xie Y, Jin Y, Zemla J. Package ‘corrplot’. Statistician. 2017;56:e24.
   Google Scholar
• Kroemer G, Galluzzi L, Kepp O, Zitvogel L. Immunogenic cell death in cancer therapy. Annu Rev Immunol. 2013;31:51–72. doi:10.1146/annurev-immunol-032712-100008
   PubMed Web of Science ®Google Scholar
• Kroemer G, Galassi C, Zitvogel L, Galluzzi L. Immunogenic cell stress and death. Nat Immunol. 2022;23(4):487–500. doi:10.1038/s41590-022-01132-2
   PubMed Web of Science ®Google Scholar
• Pairo-Castineira E, Clohisey S, Klaric L, et al. Genetic mechanisms of critical illness in COVID-19. Nature. 2021;591(7848):92–98. doi:10.1038/s41586-020-03065-y
   PubMed Web of Science ®Google Scholar
• Wickenhagen A, Sugrue E, Lytras S, et al. A prenylated dsRNA sensor protects against severe COVID-19. Science. 2021;374(6567):eabj3624. doi:10.1126/science.abj3624
   PubMed Web of Science ®Google Scholar
• Banday AR, Stanifer ML, Florez-Vargas O, et al. Genetic regulation of OAS1 nonsense-mediated decay underlies association with COVID-19 hospitalization in patients of European and African ancestries. Nat Genet. 2022;54(8):1103–1116. doi:10.1038/s41588-022-01113-z
   PubMed Web of Science ®Google Scholar
• Dong R, Jiang G, Tian Y, Shi X. Identification of immune-related biomarkers and construction of regulatory network in patients with atherosclerosis. BMC Med Genomics. 2022;15(1):245. doi:10.1186/s12920-022-01397-4
   PubMed Web of Science ®Google Scholar
• Lagor WR, Fields DW, Bauer RC, et al. Genetic manipulation of the ApoF/Stat2 locus supports an important role for type I interferon signaling in atherosclerosis. Atherosclerosis. 2014;233(1):234–241. doi:10.1016/j.atherosclerosis.2013.12.043
   PubMed Web of Science ®Google Scholar
• Yamada Y, Kato K, Oguri M, et al. Identification of 13 novel susceptibility loci for early-onset myocardial infarction, hypertension, or chronic kidney disease. Int J Mol Med. 2018;42(5):2415–2436. doi:10.3892/ijmm.2018.3852
   PubMed Web of Science ®Google Scholar
• Liu M, Jin HS, Park S. Protein and fat intake interacts with the haplotype of PTPN11_rs11066325, RPH3A_rs886477, and OAS3_rs2072134 to modulate serum HDL concentrations in middle-aged people. Clin Nutr. 2020;39(3):942–949. doi:10.1016/j.clnu.2019.03.039
   PubMed Web of Science ®Google Scholar
• Chen Y, Ouyang T, Fang C, et al. Identification of biomarkers and analysis of infiltrated immune cells in stable and ruptured abdominal aortic aneurysms. Front Cardiovasc Med. 2022;9:941185. doi:10.3389/fcvm.2022.941185
   PubMed Web of Science ®Google Scholar
• Zhang C, Feng YG, Tam C, Wang N, Feng Y. Transcriptional profiling and machine learning unveil a concordant biosignature of Type I interferon-inducible host response across nasal swab and pulmonary tissue for COVID-19 diagnosis. Front Immunol. 2021;12:733171. doi:10.3389/fimmu.2021.733171
   PubMed Web of Science ®Google Scholar
• Krishnamoorthy S, Li GH, Cheung CL. Transcriptome-wide summary data-based Mendelian randomization analysis reveals 38 novel genes associated with severe COVID-19. J Med Virol. 2023;95(1):e28162. doi:10.1002/jmv.28162
   PubMed Web of Science ®Google Scholar
• Leisching G, Wiid I, Baker B. OAS1, 2, and 3: significance During Active Tuberculosis? J Infect Dis. 2018;217(10):1517–1521. doi:10.1093/infdis/jiy084
   PubMed Web of Science ®Google Scholar
• Leisching G, Cole V, Ali AT, Baker B. OAS1, OAS2 and OAS3 restrict intracellular M. tb replication and enhance cytokine secretion. Int J Infect Dis. 2019;80S:S77–S84. doi:10.1016/j.ijid.2019.02.029
   PubMedGoogle Scholar
• Gao LJ, Shen J, Ren YN, Shi JY, Wang DP, Cao JM. Discovering novel hub genes and pathways associated with the pathogenesis of psoriasis. Dermatol Ther. 2020;33(6):e13993. doi:10.1111/dth.13993
   PubMed Web of Science ®Google Scholar
• Chen H, Huang L, Jiang X, et al. Establishment and analysis of a disease risk prediction model for the systemic lupus erythematosus with random forest. Front Immunol. 2022;13:1025688. doi:10.3389/fimmu.2022.1025688
   PubMed Web of Science ®Google Scholar
• Shen M, Duan C, Xie C, et al. Identification of key interferon-stimulated genes for indicating the condition of patients with systemic lupus erythematosus. Front Immunol. 2022;13:962393. doi:10.3389/fimmu.2022.962393
   PubMed Web of Science ®Google Scholar
• Gonzalez KJ, Moncada-Giraldo DM, Gutierrez JB. In silico identification of potential inhibitors against human 2’-5′- oligoadenylate synthetase (OAS) proteins. Comput Biol Chem. 2020;85:107211. doi:10.1016/j.compbiolchem.2020.107211
   PubMed Web of Science ®Google Scholar
• Oksala N, Pärssinen J, Seppälä I, et al. Kindlin 3 (FERMT3) is associated with unstable atherosclerotic plaques, anti-inflammatory type II macrophages and upregulation of beta-2 integrins in all major arterial beds. Atherosclerosis. 2015;242(1):145–154. doi:10.1016/j.atherosclerosis.2015.06.058
   PubMed Web of Science ®Google Scholar
• van der Flier A, Badu-Nkansah K, Whittaker CA, et al. Endothelial alpha5 and alphav integrins cooperate in remodeling of the vasculature during development. Development. 2010;137(14):2439–2449. doi:10.1242/dev.049551
   PubMed Web of Science ®Google Scholar
• Lin X, Sun Y, Yang S, et al. Omentin-1 modulates macrophage function via integrin receptors αvβ3 and αvβ5 and reverses plaque vulnerability in animal models of atherosclerosis. Front Cardiovasc Med. 2021;8:757926. doi:10.3389/fcvm.2021.757926
   PubMed Web of Science ®Google Scholar
• Zhang Y, Shi X, Han J, et al. Convallatoxin Promotes M2 macrophage polarization to attenuate atherosclerosis through PPARγ-Integrin αvβ5 signaling pathway. Drug Des Devel Ther. 2021;15:803–812. doi:10.2147/DDDT.S288728
   PubMed Web of Science ®Google Scholar
• Fu T, Li C, Sun Z, et al. Integrin αV mediates the effects of irisin on human mature adipocytes. Obes Facts. 2022;15(3):442–450. doi:10.1159/000523871
   PubMed Web of Science ®Google Scholar
• Streeter BW, Brown ME, Shakya P, et al. Using computational methods to design patient-specific electrospun cardiac patches for pediatric heart failure. Biomaterials. 2022;283:121421. doi:10.1016/j.biomaterials.2022.121421
   PubMed Web of Science ®Google Scholar
• Huang B, Faucette AN, Pawlitz MD, et al. Interleukin-33-induced expression of PIBF1 by decidual B cells protects against preterm labor. Nat Med. 2017;23(1):128–135. doi:10.1038/nm.4244
   PubMed Web of Science ®Google Scholar
• Balassa T, Berta G, Jakab L, Bohonyi N, Szekeres-Bartho J. The effect of the progesterone-induced blocking factor (PIBF) on E-cadherin expression, cell motility and invasion of primary tumour cell lines. J Reprod Immunol. 2018;125:8–15. doi:10.1016/j.jri.2017.10.047
   PubMed Web of Science ®Google Scholar
• Johnson CL, Riley L, Bersi M, Linton MF, Merryman WD. Impaired macrophage trafficking and increased helper T-cell recruitment with loss of cadherin-11 in atherosclerotic immune response. Am J Physiol Heart Circ Physiol. 2021;321(4):H756–H769. doi:10.1152/ajpheart.00263.2021
   PubMed Web of Science ®Google Scholar
• Liang J, Cao Y, He M, et al. AKR1C3 and its transcription factor HOXB4 are promising diagnostic biomarkers for acute myocardial infarction. Front Cardiovasc Med. 2021;8:694238. doi:10.3389/fcvm.2021.694238
   PubMed Web of Science ®Google Scholar
• Yuan S, Hahn SA, Miller MP, et al. Cooperation between CYB5R3 and NOX4 via coenzyme Q mitigates endothelial inflammation. Redox Biol. 2021;47:102166. doi:10.1016/j.redox.2021.102166
   PubMed Web of Science ®Google Scholar
• Langbein H, Brunssen C, Hofmann A, et al. NADPH oxidase 4 protects against development of endothelial dysfunction and atherosclerosis in LDL receptor deficient mice. Eur Heart J. 2016;37(22):1753–1761. doi:10.1093/eurheartj/ehv564
   PubMed Web of Science ®Google Scholar
• Gray SP, Di Marco E, Kennedy K, et al. Reactive oxygen species can provide atheroprotection via NOX4-dependent inhibition of inflammation and vascular remodeling. Arterioscler Thromb Vasc Biol. 2016;36(2):295–307. doi:10.1161/ATVBAHA.115.307012
   PubMed Web of Science ®Google Scholar
• Borsky P, Fiala Z, Andrys C, et al. Alarmins HMGB1, IL-33, S100A7, and S100A12 in psoriasis vulgaris. Mediators Inflamm. 2020;2020:8465083. doi:10.1155/2020/8465083
   PubMed Web of Science ®Google Scholar
• Awad SM, Attallah DA, Salama RH, Mahran AM, Abu El-Hamed E. Serum levels of psoriasin (S100A7) and koebnerisin (S100A15) as potential markers of atherosclerosis in patients with psoriasis. Clin Exp Dermatol. 2018;43(3):262–267. doi:10.1111/ced.13370
   PubMed Web of Science ®Google Scholar
• Pellegrini L, Foglio E, Pontemezzo E, Germani A, Russo MA, Limana F. HMGB1 and repair: focus on the heart. Pharmacol Ther. 2019;196:160–182. doi:10.1016/j.pharmthera.2018.12.005
   PubMed Web of Science ®Google Scholar
• Garg AD, Nowis D, Golab J, Vandenabeele P, Krysko DV, Agostinis P. Immunogenic cell death, DAMPs and anticancer therapeutics: an emerging amalgamation. Biochim Biophys Acta. 2010;1805(1):53–71. doi:10.1016/j.bbcan.2009.08.003
   PubMed Web of Science ®Google Scholar
• Celona B, Weiner A, Di Felice F, et al. Substantial histone reduction modulates genomewide nucleosomal occupancy and global transcriptional output. PLOS Biol. 2011;9(6):e1001086. doi:10.1371/journal.pbio.1001086
   PubMed Web of Science ®Google Scholar
• Zhu X, Messer JS, Wang Y, et al. Cytosolic HMGB1 controls the cellular autophagy/apoptosis checkpoint during inflammation. J Clin Invest. 2015;125(3):1098–1110. doi:10.1172/JCI76344
   PubMed Web of Science ®Google Scholar
• Ouyang F, Huang H, Zhang M, et al. HMGB1 induces apoptosis and EMT in association with increased autophagy following H/R injury in cardiomyocytes. Int J Mol Med. 2016;37(3):679–689. doi:10.3892/ijmm.2016.2474
   PubMed Web of Science ®Google Scholar
• Schiraldi M, Raucci A, Muñoz LM, et al. HMGB1 promotes recruitment of inflammatory cells to damaged tissues by forming a complex with CXCL12 and signaling via CXCR4. J Exp Med. 2012;209(3):551–563. doi:10.1084/jem.20111739
   PubMed Web of Science ®Google Scholar
• Bianchi ME, Manfredi AA. High-mobility group box 1 (HMGB1) protein at the crossroads between innate and adaptive immunity. Immunol Rev. 2007;220:35–46. doi:10.1111/j.1600-065X.2007.00574.x
   PubMed Web of Science ®Google Scholar
• Vénéreau E, Ceriotti C, Bianchi ME. DAMPs from cell death to new life. Front Immunol. 2015;6:422. doi:10.3389/fimmu.2015.00422
   PubMed Web of Science ®Google Scholar
• Tirone M, Tran NL, Ceriotti C, et al. High mobility group box 1 orchestrates tissue regeneration via CXCR4. J Exp Med. 2018;215(1):303–318. doi:10.1084/jem.20160217
   PubMed Web of Science ®Google Scholar
• Chen H, Song Y, Deng C, et al. Comprehensive analysis of immune infiltration and gene expression for predicting survival in patients with sarcomas. Aging. 2020;13(2):2168–2183.
   PubMedGoogle Scholar
• Tabas I, Lichtman AH. Monocyte-macrophages and T cells in atherosclerosis. Immunity. 2017;47(4):621–634. doi:10.1016/j.immuni.2017.09.008
   PubMed Web of Science ®Google Scholar
• Williams JW, Zaitsev K, Kim KW, et al. Limited proliferation capacity of aortic intima resident macrophages requires monocyte recruitment for atherosclerotic plaque progression. Nat Immunol. 2020;21(10):1194–1204. doi:10.1038/s41590-020-0768-4
   PubMed Web of Science ®Google Scholar
• Trogan E, Feig JE, Dogan S, et al. Gene expression changes in foam cells and the role of chemokine receptor CCR7 during atherosclerosis regression in ApoE-deficient mice. Proc Natl Acad Sci USA. 2006;103(10):3781–3786. doi:10.1073/pnas.0511043103
   PubMed Web of Science ®Google Scholar
• Weber C, Meiler S, Döring Y, et al. CCL17-expressing dendritic cells drive atherosclerosis by restraining regulatory T cell homeostasis in mice. J Clin Invest. 2011;121(7):2898–2910. doi:10.1172/JCI44925
   PubMed Web of Science ®Google Scholar
• Wang L, Ai Z, Khoyratty T, et al. ROS-producing immature neutrophils in giant cell arteritis are linked to vascular pathologies. JCI Insight. 2020;5(20). doi:10.1172/jci.insight.139163
   Web of Science ®Google Scholar
• Warnatsch A, Ioannou M, Wang Q, Papayannopoulos V. Inflammation. Neutrophil extracellular traps license macrophages for cytokine production in atherosclerosis. Science. 2015;349(6245):316–320. doi:10.1126/science.aaa8064
   PubMed Web of Science ®Google Scholar
• Saigusa R, Winkels H, Ley K. T cell subsets and functions in atherosclerosis. Nat Rev Cardiol. 2020;17(7):387–401. doi:10.1038/s41569-020-0352-5
   PubMed Web of Science ®Google Scholar
• Kyaw T, Tay C, Krishnamurthi S, et al. B1a B lymphocytes are atheroprotective by secreting natural IgM that increases IgM deposits and reduces necrotic cores in atherosclerotic lesions. Circ Res. 2011;109(8):830–840. doi:10.1161/CIRCRESAHA.111.248542
   PubMed Web of Science ®Google Scholar
• Sage AP, Tsiantoulas D, Binder CJ, Mallat Z. The role of B cells in atherosclerosis. Nat Rev Cardiol. 2019;16(3):180–196. doi:10.1038/s41569-018-0106-9
   PubMed Web of Science ®Google Scholar
• Pattarabanjird T, Li C, McNamara C. B cells in atherosclerosis: mechanisms and potential clinical applications. JACC Basic Transl Sci. 2021;6(6):546–563. doi:10.1016/j.jacbts.2021.01.006
   PubMedGoogle Scholar
• Ait-Oufella H, Herbin O, Bouaziz JD, et al. B cell depletion reduces the development of atherosclerosis in mice. J Exp Med. 2010;207(8):1579–1587. doi:10.1084/jem.20100155
   PubMed Web of Science ®Google Scholar
• Kyaw T, Tay C, Khan A, et al. Conventional B2 B cell depletion ameliorates whereas its adoptive transfer aggravates atherosclerosis. J Immunol. 2010;185(7):4410–4419. doi:10.4049/jimmunol.1000033
   PubMed Web of Science ®Google Scholar
• Zhao TX, Aetesam-Ur-Rahman M, Sage AP, et al. Rituximab in patients with acute ST-elevation myocardial infarction: an experimental medicine safety study. Cardiovasc Res. 2022;118(3):872–882. doi:10.1093/cvr/cvab113
   PubMed Web of Science ®Google Scholar
• O’Neill LA, Kishton RJ, Rathmell J. A guide to immunometabolism for immunologists. Nat Rev Immunol. 2016;16(9):553–565. doi:10.1038/nri.2016.70
   PubMed Web of Science ®Google Scholar
• Tomas L, Edsfeldt A, Mollet IG, et al. Altered metabolism distinguishes high-risk from stable carotid atherosclerotic plaques. Eur Heart J. 2018;39(24):2301–2310. doi:10.1093/eurheartj/ehy124
   PubMed Web of Science ®Google Scholar
• Lutgens E, Atzler D, Döring Y, Duchene J, Steffens S, Weber C. Immunotherapy for cardiovascular disease. Eur Heart J. 2019;40(48):3937–3946. doi:10.1093/eurheartj/ehz283
   PubMed Web of Science ®Google Scholar
• Lehrer-Graiwer J, Singh P, Abdelbaky A, et al. FDG-PET imaging for oxidized LDL in stable atherosclerotic disease: a Phase II study of safety, tolerability, and anti-inflammatory activity. JACC Cardiovasc Imaging. 2015;8(4):493–494. doi:10.1016/j.jcmg.2014.06.021
   PubMed Web of Science ®Google Scholar
• Drobni ZD, Alvi RM, Taron J, et al. Association between immune checkpoint inhibitors with cardiovascular events and atherosclerotic plaque. Circulation. 2020;142(24):2299–2311. doi:10.1161/CIRCULATIONAHA.120.049981
   PubMed Web of Science ®Google Scholar
• Poels K, van Leent MMT, Boutros C, et al. Immune checkpoint inhibitor therapy aggravates T cell-driven plaque inflammation in atherosclerosis. JACC CardioOncol. 2020;2(4):599–610. doi:10.1016/j.jaccao.2020.08.007
   PubMedGoogle Scholar
• Zdravkovic S, Wienke A, Pedersen NL, et al. Heritability of death from coronary heart disease: a 36-year follow-up of 20 966 Swedish twins. J Intern Med. 2002;252(3):247–254. doi:10.1046/j.1365-2796.2002.01029.x
   PubMed Web of Science ®Google Scholar
• Torkamani A, Wineinger NE, Topol EJ. The personal and clinical utility of polygenic risk scores. Nat Rev Genet. 2018;19(9):581–590. doi:10.1038/s41576-018-0018-x
   PubMed Web of Science ®Google Scholar
• Christiansen MK, Nissen L, Winther S, et al. Genetic risk of coronary artery disease, features of atherosclerosis, and coronary plaque burden. J Am Heart Assoc. 2020;9(3):e014795. doi:10.1161/JAHA.119.014795
   PubMed Web of Science ®Google Scholar
• Khera AV, Emdin CA, Drake I, et al. Genetic risk, adherence to a healthy lifestyle, and coronary disease. N Engl J Med. 2016;375(24):2349–2358. doi:10.1056/NEJMoa1605086
   PubMed Web of Science ®Google Scholar
• Inouye M, Abraham G, Nelson CP, et al. Genomic risk prediction of coronary artery disease in 480,000 adults: implications for primary prevention. J Am Coll Cardiol. 2018;72(16):1883–1893. doi:10.1016/j.jacc.2018.07.079
   PubMed Web of Science ®Google Scholar
• Mega JL, Stitziel NO, Smith JG, et al. Genetic risk, coronary heart disease events, and the clinical benefit of statin therapy: an analysis of primary and secondary prevention trials. Lancet. 2015;385(9984):2264–2271. doi:10.1016/S0140-6736(14)61730-X
   PubMed Web of Science ®Google Scholar