Identification through machine learning of potential immune- related gene biomarkers associated with immune cell infiltration in myocardial infarction

[1]  X. de la Rosa,et al.  Maresin 1 activates LGR6 receptor promoting phagocyte immunoresolvent functions , 2023, The Journal of clinical investigation.

[2]  M. Kanehisa,et al.  KEGG for taxonomy-based analysis of pathways and genomes , 2022, Nucleic Acids Res..

[3]  K. Fukuda,et al.  Immune and Inflammatory Networks in Myocardial Infarction: Current Research and Its Potential Implications for the Clinic , 2022, International journal of molecular sciences.

[4]  K. Vandenbroeck,et al.  Pathophysiology of Atherosclerosis , 2022, International journal of molecular sciences.

[5]  L. Margolis,et al.  Circulating Cytokines in Myocardial Infarction Are Associated With Coronary Blood Flow , 2022, Frontiers in Immunology.

[6]  S. Muhammad,et al.  Quantitative Real-Time Analysis of Differentially Expressed Genes in Peripheral Blood Samples of Hypertension Patients , 2022, Genes.

[7]  P. Harding,et al.  Prostaglandin E2 EP Receptors in Cardiovascular Disease: An Update. , 2021, Biochemical pharmacology.

[8]  Yang Yang,et al.  Identification of key genes in coronary artery disease: an integrative approach based on weighted gene co-expression network analysis and their correlation with immune infiltration , 2021, Aging.

[9]  Jiancheng Zhang,et al.  Comprehensive Analysis of the Immune Infiltrates and Aberrant Pathways Activation in Atherosclerotic Plaque , 2021, Frontiers in Cardiovascular Medicine.

[10]  Deepak L. Bhatt,et al.  2020 ESC Guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation. , 2020, European heart journal.

[11]  Wenwen Li,et al.  Exploratory study on classification of lung cancer subtypes through a combined K-nearest neighbor classifier in breathomics , 2020, Scientific Reports.

[12]  Y. Duan,et al.  Exploratory study on classification of lung cancer subtypes through a combined K-nearest neighbor classifier in breathomics , 2020, Scientific Reports.

[13]  H. Bøtker,et al.  Ischemic Heart Disease: An Update. , 2020, Seminars in nuclear medicine.

[14]  O. Favorova,et al.  Collapsing the list of myocardial infarction-related differentially expressed genes into a diagnostic signature , 2020, Journal of Translational Medicine.

[15]  R. González-Amaro,et al.  Altered NK cell receptor repertoire and function of natural killer cells in patients with acute myocardial infraction: A three-month follow-up study. , 2020, Immunobiology.

[16]  Marco Valgimigli,et al.  2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes. , 2019, European heart journal.

[17]  Minoru Kanehisa,et al.  Toward understanding the origin and evolution of cellular organisms , 2019, Protein science : a publication of the Protein Society.

[18]  Xue-mei Wang,et al.  Long non-coding RNAs H19, MALAT1 and MIAT as potential novel biomarkers for diagnosis of acute myocardial infarction. , 2019, Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie.

[19]  P. Yan,et al.  Circulating MicroRNA-499 as a Diagnostic Biomarker for Acute Myocardial Infarction: A Meta-analysis , 2019, Disease markers.

[20]  Ronggang Li,et al.  Silencing LGR6 Attenuates Stemness and Chemoresistance via Inhibiting Wnt/β-Catenin Signaling in Ovarian Cancer , 2019, Molecular therapy oncolytics.

[21]  Alireza Hadj Khodabakhshi,et al.  Metascape provides a biologist-oriented resource for the analysis of systems-level datasets , 2019, Nature Communications.

[22]  W. Ouyang,et al.  Cutting Edge: IL-17B Uses IL-17RA and IL-17RB to Induce Type 2 Inflammation from Human Lymphocytes , 2019, The Journal of Immunology.

[23]  L. Atzori,et al.  Metabolomic fingerprint of coronary blood in STEMI patients depends on the ischemic time and inflammatory state , 2019, Scientific Reports.

[24]  A. Mebazaa,et al.  Adrenomedullin in heart failure: pathophysiology and therapeutic application , 2018, European journal of heart failure.

[25]  Mohammad Hossein Khosravi,et al.  Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017 , 2018, Lancet.

[26]  J. Tuomilehto,et al.  Palmitate Activates CCL4 Expression in Human Monocytic Cells via TLR4/MyD88 Dependent Activation of NF-κB/MAPK/ PI3K Signaling Systems , 2018, Cellular Physiology and Biochemistry.

[27]  J. Núñez,et al.  Apoptosis and Mobilization of Lymphocytes to Cardiac Tissue Is Associated with Myocardial Infarction in a Reperfused Porcine Model and Infarct Size in Post-PCI Patients , 2018, Oxidative medicine and cellular longevity.

[28]  Barry Smith,et al.  ImmPort, toward repurposing of open access immunological assay data for translational and clinical research , 2018, Scientific Data.

[29]  J. Collins,et al.  MicroRNA-31 and MicroRNA-155 Are Overexpressed in Ulcerative Colitis and Regulate IL-13 Signaling by Targeting Interleukin 13 Receptor α-1 , 2018, Genes.

[30]  Ash A. Alizadeh,et al.  Profiling Tumor Infiltrating Immune Cells with CIBERSORT. , 2018, Methods in molecular biology.

[31]  Yang Wang,et al.  Applications of Support Vector Machine (SVM) Learning in Cancer Genomics. , 2018, Cancer genomics & proteomics.

[32]  A. Beck‐Sickinger,et al.  Adrenomedullin – new perspectives of a potent peptide hormone , 2017, Journal of peptide science : an official publication of the European Peptide Society.

[33]  Eytan Ruppin,et al.  New Role for Interleukin‐13 Receptor α1 in Myocardial Homeostasis and Heart Failure , 2017, Journal of the American Heart Association.

[34]  Lei Ren,et al.  IL-17B is elevated in patients with pneumonia and mediates IL-8 production in bronchial epithelial cells. , 2017, Clinical immunology.

[35]  A. Orekhov,et al.  Cardiac-specific miRNA in cardiogenesis, heart function, and cardiac pathology (with focus on myocardial infarction). , 2016, Journal of molecular and cellular cardiology.

[36]  Ye Tian,et al.  Plasma miR-1, miR-208, miR-499 as potential predictive biomarkers for acute myocardial infarction: An independent study of Han population , 2015, Experimental Gerontology.

[37]  Xi Chen,et al.  Circulating miR-499 are novel and sensitive biomarker of acute myocardial infarction. , 2015, Journal of thoracic disease.

[38]  Qing-Yu He,et al.  DOSE: an R/Bioconductor package for disease ontology semantic and enrichment analysis , 2015, Bioinform..

[39]  D. Mann,et al.  Role of innate and adaptive immune mechanisms in cardiac injury and repair , 2015, Nature Reviews Immunology.

[40]  Matthew E. Ritchie,et al.  limma powers differential expression analyses for RNA-sequencing and microarray studies , 2015, Nucleic acids research.

[41]  G. Caramori,et al.  Increased Expression of CCL4/MIP-1β IN CD8+ Cells and CD4+ Cells in Sarcoidosis , 2014, International journal of immunopathology and pharmacology.

[42]  Fabrizio Montecucco,et al.  CC chemokine CCL5 plays a central role impacting infarct size and post-infarction heart failure in mice. , 2012, European heart journal.

[43]  Andrew E. Jaffe,et al.  Bioinformatics Applications Note Gene Expression the Sva Package for Removing Batch Effects and Other Unwanted Variation in High-throughput Experiments , 2022 .

[44]  Malgorzata Mrugacz,et al.  CCL4/MIP-1beta levels in tear fluid and serum of patients with cystic fibrosis. , 2010, Journal of interferon & cytokine research : the official journal of the International Society for Interferon and Cytokine Research.

[45]  J. Egido,et al.  Overexpression of COX-2, Prostaglandin E synthase-1 and prostaglandin E receptors in blood mononuclear cells and plaque of patients with carotid atherosclerosis: regulation by nuclear factor-kappaB. , 2006, Atherosclerosis.

[46]  K. Kangawa,et al.  Physiological significance and therapeutic potential of adrenomedullin in pulmonary hypertension. , 2006, Cardiovascular & hematological disorders drug targets.

[47]  N. Leitinger.  A rancid culprit in vascular inflammation acts on the prostaglandin receptor EP2. , 2006, Circulation research.

[48]  Adele Cutler,et al.  Random forests for microarrays. , 2006, Methods in enzymology.

[49]  Benjamin M. Bolstad,et al.  affy - analysis of Affymetrix GeneChip data at the probe level , 2004, Bioinform..

[50]  Hilde van der Togt,et al.  Publisher's Note , 2003, J. Netw. Comput. Appl..

[51]  C. D. DE GROOT,et al.  Macrophage inflammatory protein‐1α (MIP‐1α), MIP‐1β, and RANTES mRNA semiquantification and protein expression in active demyelinating multiple sclerosis (MS) lesions , 2000 .

[52]  C. D. DE GROOT,et al.  Macrophage inflammatory protein-1alpha (MIP-1alpha), MIP-1beta, and RANTES mRNA semiquantification and protein expression in active demyelinating multiple sclerosis (MS) lesions. , 2000, Clinical and experimental immunology.

[53]  Susumu Goto,et al.  KEGG: Kyoto Encyclopedia of Genes and Genomes , 2000, Nucleic Acids Res..

[54]  P. Slater.  Signaling systems. , 1978, Science.