Proteomic Bioprofiles and Mechanistic Pathways of Progression to Heart Failure: the HOMAGE Study
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The TNF and TNF Receptor Review Superfamilies: Integrating Mammalian Biology
Cell, Vol. 104, 487±501, February 23, 2001, Copyright 2001 by Cell Press The TNF and TNF Receptor Review Superfamilies: Integrating Mammalian Biology Richard M. Locksley,*²³k Nigel Killeen,²k The receptors and ligands in this superfamily have and Michael J. Lenardo§k unique structural attributes that couple them directly to *Department of Medicine signaling pathways for cell proliferation, survival, and ² Department of Microbiology and Immunology differentiation. Thus, they have assumed prominent ³ Howard Hughes Medical Institute roles in the generation of tissues and transient microen- University of California, San Francisco vironments. Most TNF/TNFR SFPs are expressed in the San Francisco, California 94143 immune system, where their rapid and potent signaling § Laboratory of Immunology capabilities are crucial in coordinating the proliferation National Institute of Allergy and Infectious Diseases and protective functions of pathogen-reactive cells. National Institutes of Health Here, we review the organization of the TNF/TNFR SF Bethesda, Maryland 20892 and how these proteins have been adapted for pro- cesses as seemingly disparate as host defense and or- ganogenesis. In interpreting this large and highly active Introduction area of research, we have focused on common themes that unite the actions of these genes in different tissues. Three decades ago, lymphotoxin (LT) and tumor necro- We also discuss the evolutionary success of this super- sis factor (TNF) were identified as products of lympho- familyÐsuccess that we infer from its expansion across cytes and macrophages that caused the lysis of certain the mammalian genome and from its many indispens- types of cells, especially tumor cells (Granger et al., able roles in mammalian biology. -
Genetics of Interleukin 1 Receptor-Like 1 in Immune and Inflammatory Diseases
Current Genomics, 2010, 11, 591-606 591 Genetics of Interleukin 1 Receptor-Like 1 in Immune and Inflammatory Diseases Loubna Akhabir and Andrew Sandford* Department of Medicine, University of British Columbia, UBC James Hogg Research Centre, Providence Heart + Lung Institute, Room 166, St. Paul's Hospital, 1081 Burrard Street, Vancouver, BC V6Z 1Y6, Canada Abstract: Interleukin 1 receptor-like 1 (IL1RL1) is gaining in recognition due to its involvement in immune/inflamma- tory disorders. Well-designed animal studies have shown its critical role in experimental allergic inflammation and human in vitro studies have consistently demonstrated its up-regulation in several conditions such as asthma and rheumatoid ar- thritis. The ligand for IL1RL1 is IL33 which emerged as playing an important role in initiating eosinophilic inflammation and activating other immune cells resulting in an allergic phenotype. An IL1RL1 single nucleotide polymorphism (SNP) was among the most significant results of a genome-wide scan inves- tigating eosinophil counts; in the same study, this SNP associated with asthma in 10 populations. The IL1RL1 gene resides in a region of high linkage disequilibrium containing interleukin 1 receptor genes as well as in- terleukin 18 receptor and accessory genes. This poses a challenge to researchers interested in deciphering genetic associa- tion signals in the region as all of the genes represent interesting candidates for asthma and allergic disease. The IL1RL1 gene and its resulting soluble and receptor proteins have emerged as key regulators of the inflammatory proc- ess implicated in a large variety of human pathologies We review the function and expression of the IL1RL1 gene. -
Activating Death Receptor DR5 As a Therapeutic Strategy for Rhabdomyosarcoma
International Scholarly Research Network ISRN Oncology Volume 2012, Article ID 395952, 10 pages doi:10.5402/2012/395952 Review Article Activating Death Receptor DR5 as a Therapeutic Strategy for Rhabdomyosarcoma Zhigang Kang,1, 2 Shi-Yong Sun,3 and Liang Cao1 1 Genetics Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA 2 Laboratory of Proteomics and Analytical Technologies, SAIC-Frederick, Inc., NCI Frederick, Frederick, MD 21702, USA 3 Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA 30322, USA Correspondence should be addressed to Liang Cao, [email protected] Received 4 January 2012; Accepted 24 January 2012 Academic Editors: E. Boven and S. Mandruzzato Copyright © 2012 Zhigang Kang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma in children. It is believed to arise from skeletal muscle progenitors, preserving the expression of genes critical for embryonic myogenic development such as MYOD1 and myogenin. RMS is classified as embryonal, which is more common in younger children, or alveolar, which is more prevalent in elder children and adults. Despite aggressive management including surgery, radiation, and chemotherapy, the outcome for children with metastatic RMS is dismal, and the prognosis has remained unchanged for decades. Apoptosis is a highly regulated process critical for embryonic development and tissue and organ homeostasis. Like other types of cancers, RMS develops by evading intrinsic apoptosis via mutations in the p53 tumor suppressor gene. -
Ligand–Receptor Binding Revealed by the TNF Family Member TALL-1
articles Ligand–receptor binding revealed by the TNF family member TALL-1 Yingfang Liu*†, Xia Hong*†, John Kappler*‡§, Ling Jiang*, Rongguang Zhangk, Liangguo Xu*, Cheol-Ho Pan*, Wesley E. Martin*, Robert C. Murphy*, Hong-Bing Shu*{, Shaodong Dai*‡ & Gongyi Zhang*§ * Integrated Department of Immunology, National Jewish Medical and Research Center, ‡ Howard Hughes Medical Institute, and § Department of Pharmacology, Biomolecular Structure Program, School of Medicine, University of Colorado Health Science Center, 1400 Jackson Street, Denver, Colorado 80206, USA { Department of Cell Biology and Genetics, College of Life Sciences, Peking University, Beijing 100871, China k Structural Biology Section, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, Illinois 60439, USA † These authors contributed equally to this work ........................................................................................................................................................................................................................... The tumour necrosis factor (TNF) ligand TALL-1 and its cognate receptors, BCMA, TACI and BAFF-R, were recently identified as members of the TNF superfamily, which are essential factors contributing to B-cell maturation. The functional, soluble fragment of TALL-1 (sTALL-1) forms a virus-like assembly for its proper function. Here we determine the crystal structures of sTALL-1 complexed with the extracellular domains of BCMA and BAFF-R at 2.6 and 2.5 A˚ , respectively. The single cysteine-rich domain -
Pro-Inflammatory Tnfα and IL-1Β Differentially Regulate the Inflammatory Phenotype of Brain Microvascular Endothelial Cells Simon J
O’Carroll et al. Journal of Neuroinflammation (2015) 12:131 JOURNAL OF DOI 10.1186/s12974-015-0346-0 NEUROINFLAMMATION RESEARCH Open Access Pro-inflammatory TNFα and IL-1β differentially regulate the inflammatory phenotype of brain microvascular endothelial cells Simon J. O’Carroll1,2, Dan Ting Kho1,3, Rachael Wiltshire1, Vicky Nelson1,3, Odunayo Rotimi1,2, Rebecca Johnson1,3, Catherine E. Angel4 and E. Scott Graham1,3* Abstract Background: The vasculature of the brain is composed of endothelial cells, pericytes and astrocytic processes. The endothelial cells are the critical interface between the blood and the CNS parenchyma and are a critical component of the blood-brain barrier (BBB). These cells are innately programmed to respond to a myriad of inflammatory cytokines or other danger signals. IL-1β and TNFα are well recognised pro-inflammatory mediators, and here, we provide compelling evidence that they regulate the function and immune response profile of human cerebral microvascular endothelial cells (hCMVECs) differentially. Methods: We used xCELLigence biosensor technology, which revealed global differences in the endothelial response between IL-1β and TNFα. xCELLigence is a label-free impedance-based biosensor, which is ideal for acute or long-term comparison of drug effects on cell behaviour. In addition, flow cytometry and multiplex cytokine arrays were used to show differences in the inflammatory responses from the endothelial cells. Results: Extensive cytokine-secretion profiling and cell-surface immune phenotyping confirmed that the immune response of the hCMVEC to IL-1β was different to that of TNFα. Interestingly, of the 38 cytokines, chemokines and growth factors measured by cytometric bead array, the endothelial cells secreted only 13. -
Interleukin-18 As a Therapeutic Target in Acute Myocardial Infarction and Heart Failure
Interleukin-18 as a Therapeutic Target in Acute Myocardial Infarction and Heart Failure Laura C O’Brien,1 Eleonora Mezzaroma,2,3,4 Benjamin W Van Tassell,2,3,4 Carlo Marchetti,2,3 Salvatore Carbone,2,3 Antonio Abbate,1,2,3 and Stefano Toldo2,3 1Department of Physiology and Biophysics, 2Victoria Johnson Research Laboratories, and 3Virginia Commonwealth University Pauley Heart Center, School of Medicine, and 4Pharmacotherapy and Outcome Sciences, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia, United States of America Interleukin 18 (IL-18) is a proinflammatory cytokine in the IL-1 family that has been implicated in a number of disease states. In animal models of acute myocardial infarction (AMI), pressure overload, and LPS-induced dysfunction, IL-18 regulates cardiomy- ocyte hypertrophy and induces cardiac contractile dysfunction and extracellular matrix remodeling. In patients, high IL-18 levels correlate with increased risk of developing cardiovascular disease (CVD) and with a worse prognosis in patients with established CVD. Two strategies have been used to counter the effects of IL-18:IL-18 binding protein (IL-18BP), a naturally occurring protein, and a neutralizing IL-18 antibody. Recombinant human IL-18BP (r-hIL-18BP) has been investigated in animal studies and in phase I/II clinical trials for psoriasis and rheumatoid arthritis. A phase II clinical trial using a humanized monoclonal IL-18 antibody for type 2 diabetes is ongoing. Here we review the literature regarding the role of IL-18 in AMI and heart failure and the evidence and challenges of using IL-18BP and blocking IL-18 antibodies as a therapeutic strategy in patients with heart disease. -
Biomarker Quantitation Assay Guide
Biomarker quantitation assay guide Quantitate protein: ELISA l Antibody pairs l ProQuantum HS immunoassays l ProcartaPlex immunoassays Quantitate mRNA: QuantiGene multiplexed gene expression assays Our Invitrogen™ portfolio offers a variety of assays for quantitation of single proteins and mRNA, as well as mix-and-match and ready-to-use panels for correlated multiplexing using the Luminex® platform. Our extensive portfolio of assays includes: • ELISA and antibody pair kits • ProQuantum™ high-sensitivity immunoassay kits • ProcartaPlex™ multiplex immunoassay kits • QuantiGene™ Plex gene expression assays Additionally, Thermo Fisher Scientific supports your quantitation assay needs with accessory reagents and instruments for a comprehensive offering. Use this guide to help identify your needs, and then contact your sales representative if you have questions or go to thermofisher.com/quantitatebiomarkers Contents Biomarker background 4 Biomarker quantitation assay platforms 7 Single-analyte quantitation ELISA kits 9 Antibody pair kits 11 ProQuantum high-sensitivity immunoassay kits 12 Accessory reagents and equipment 14 Multianalyte quantitation Luminex xMAP technology 17 ProcartaPlex multiplex immunoassay kits 19 ProcartaPlex high-sensitivity immunoassay kits 27 ProcartaPlex Platinum immunoassay kits 28 Custom assay development service 30 Multiplexed gene expression assays 32 QuantiGene Plex assays 32 Additional gene expression solutions 38 Comprehensive immunoassay product listing 40 Biomarker background Highly referenced kits you can -
TRAIL and Cardiovascular Disease—A Risk Factor Or Risk Marker: a Systematic Review
Journal of Clinical Medicine Review TRAIL and Cardiovascular Disease—A Risk Factor or Risk Marker: A Systematic Review Katarzyna Kakareko 1,* , Alicja Rydzewska-Rosołowska 1 , Edyta Zbroch 2 and Tomasz Hryszko 1 1 2nd Department of Nephrology and Hypertension with Dialysis Unit, Medical University of Białystok, 15-276 Białystok, Poland; [email protected] (A.R.-R.); [email protected] (T.H.) 2 Department of Internal Medicine and Hypertension, Medical University of Białystok, 15-276 Białystok, Poland; [email protected] * Correspondence: [email protected] Abstract: Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) is a pro-apoptotic protein showing broad biological functions. Data from animal studies indicate that TRAIL may possibly contribute to the pathophysiology of cardiomyopathy, atherosclerosis, ischemic stroke and abdomi- nal aortic aneurysm. It has been also suggested that TRAIL might be useful in cardiovascular risk stratification. This systematic review aimed to evaluate whether TRAIL is a risk factor or risk marker in cardiovascular diseases (CVDs) focusing on major adverse cardiovascular events. Two databases (PubMed and Cochrane Library) were searched until December 2020 without a year limit in accor- dance to the PRISMA guidelines. A total of 63 eligible original studies were identified and included in our systematic review. Studies suggest an important role of TRAIL in disorders such as heart failure, myocardial infarction, atrial fibrillation, ischemic stroke, peripheral artery disease, and pul- monary and gestational hypertension. Most evidence associates reduced TRAIL levels and increased TRAIL-R2 concentration with all-cause mortality in patients with CVDs. It is, however, unclear Citation: Kakareko, K.; whether low TRAIL levels should be considered as a risk factor rather than a risk marker of CVDs. -
The Relevance of Clinical, Genetic and Serological Markers
AUTREV-01901; No of Pages 18 Autoimmunity Reviews xxx (2016) xxx–xxx Contents lists available at ScienceDirect Autoimmunity Reviews journal homepage: www.elsevier.com/locate/autrev Review Cardiovascular risk assessment in patients with rheumatoid arthritis: The relevance of clinical, genetic and serological markers Raquel López-Mejías a, Santos Castañeda b, Carlos González-Juanatey c,AlfonsoCorralesa, Iván Ferraz-Amaro d, Fernanda Genre a, Sara Remuzgo-Martínez a, Luis Rodriguez-Rodriguez e, Ricardo Blanco a,JavierLlorcaf, Javier Martín g, Miguel A. González-Gay a,h,i,⁎ a Epidemiology, Genetics and Atherosclerosis Research Group on Systemic Inflammatory Diseases, Rheumatology Division, IDIVAL, Santander, Spain b Division of Rheumatology, Hospital Universitario la Princesa, IIS-IPrincesa, Madrid, Spain c Division of Cardiology, Hospital Lucus Augusti, Lugo, Spain d Rheumatology Division, Hospital Universitario de Canarias, Santa Cruz de Tenerife, Spain e Division of Rheumatology, Hospital Clínico San Carlos, Madrid, Spain f Division of Epidemiology and Computational Biology, School of Medicine, University of Cantabria, and CIBER Epidemiología y Salud Pública (CIBERESP), IDIVAL, Santander, Spain g Institute of Parasitology and Biomedicine López-Neyra, IPBLN-CSIC, Granada, Spain h School of Medicine, University of Cantabria, Santander, Spain i Cardiovascular Pathophysiology and Genomics Research Unit, School of Physiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa article info abstract Article history: Cardiovascular disease (CV) is the most common cause of premature mortality in patients with rheumatoid ar- Received 7 July 2016 thritis (RA). This is the result of an accelerated atherosclerotic process. Adequate CV risk stratification has special Accepted 9 July 2016 relevance in RA to identify patients at risk of CV disease. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Interleukin-18 in Health and Disease
International Journal of Molecular Sciences Review Interleukin-18 in Health and Disease Koubun Yasuda 1 , Kenji Nakanishi 1,* and Hiroko Tsutsui 2 1 Department of Immunology, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, Hyogo 663-8501, Japan; [email protected] 2 Department of Surgery, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, Hyogo 663-8501, Japan; [email protected] * Correspondence: [email protected]; Tel.: +81-798-45-6573 Received: 21 December 2018; Accepted: 29 January 2019; Published: 2 February 2019 Abstract: Interleukin (IL)-18 was originally discovered as a factor that enhanced IFN-γ production from anti-CD3-stimulated Th1 cells, especially in the presence of IL-12. Upon stimulation with Ag plus IL-12, naïve T cells develop into IL-18 receptor (IL-18R) expressing Th1 cells, which increase IFN-γ production in response to IL-18 stimulation. Therefore, IL-12 is a commitment factor that induces the development of Th1 cells. In contrast, IL-18 is a proinflammatory cytokine that facilitates type 1 responses. However, IL-18 without IL-12 but with IL-2, stimulates NK cells, CD4+ NKT cells, and established Th1 cells, to produce IL-3, IL-9, and IL-13. Furthermore, together with IL-3, IL-18 stimulates mast cells and basophils to produce IL-4, IL-13, and chemical mediators such as histamine. Therefore, IL-18 is a cytokine that stimulates various cell types and has pleiotropic functions. IL-18 is a member of the IL-1 family of cytokines. IL-18 demonstrates a unique function by binding to a specific receptor expressed on various types of cells. -
Gene List HTG Edgeseq Immuno-Oncology Assay
Gene List HTG EdgeSeq Immuno-Oncology Assay Adhesion ADGRE5 CLEC4A CLEC7A IBSP ICAM4 ITGA5 ITGB1 L1CAM MBL2 SELE ALCAM CLEC4C DST ICAM1 ITGA1 ITGA6 ITGB2 LGALS1 MUC1 SVIL CDH1 CLEC5A EPCAM ICAM2 ITGA2 ITGAL ITGB3 LGALS3 NCAM1 THBS1 CDH5 CLEC6A FN1 ICAM3 ITGA4 ITGAM ITGB4 LGALS9 PVR THY1 Apoptosis APAF1 BCL2 BID CARD11 CASP10 CASP8 FADD NOD1 SSX1 TP53 TRAF3 BCL10 BCL2L1 BIRC5 CASP1 CASP3 DDX58 NLRP3 NOD2 TIMP1 TRAF2 TRAF6 B-Cell Function BLNK BTLA CD22 CD79A FAS FCER2 IKBKG PAX5 SLAMF1 SLAMF7 SPN BTK CD19 CD24 EBF4 FASLG IKBKB MS4A1 RAG1 SLAMF6 SPI1 Cell Cycle ABL1 ATF1 ATM BATF CCND1 CDK1 CDKN1B NCL RELA SSX1 TBX21 TP53 ABL2 ATF2 AXL BAX CCND3 CDKN1A EGR1 REL RELB TBK1 TIMP1 TTK Cell Signaling ADORA2A DUSP4 HES1 IGF2R LYN MAPK1 MUC1 NOTCH1 RIPK2 SMAD3 STAT5B AKT3 DUSP6 HES5 IKZF1 MAF MAPK11 MYC PIK3CD RNF4 SOCS1 STAT6 BCL6 ELK1 HEY1 IKZF2 MAP2K1 MAPK14 NFATC1 PIK3CG RORC SOCS3 SYK CEBPB EP300 HEY2 IKZF3 MAP2K2 MAPK3 NFATC3 POU2F2 RUNX1 SPINK5 TAL1 CIITA ETS1 HEYL JAK1 MAP2K4 MAPK8 NFATC4 PRKCD RUNX3 STAT1 TCF7 CREB1 FLT3 HMGB1 JAK2 MAP2K7 MAPKAPK2 NFKB1 PRKCE S100B STAT2 TYK2 CREB5 FOS HRAS JAK3 MAP3K1 MEF2C NFKB2 PTEN SEMA4D STAT3 CREBBP GATA3 IGF1R KIT MAP3K5 MTDH NFKBIA PYCARD SMAD2 STAT4 Chemokine CCL1 CCL16 CCL20 CCL25 CCL4 CCR2 CCR7 CX3CL1 CXCL12 CXCL3 CXCR1 CXCR6 CCL11 CCL17 CCL21 CCL26 CCL5 CCR3 CCR9 CX3CR1 CXCL13 CXCL5 CXCR2 MST1R CCL13 CCL18 CCL22 CCL27 CCL7 CCR4 CCRL2 CXCL1 CXCL14 CXCL6 CXCR3 PPBP CCL14 CCL19 CCL23 CCL28 CCL8 CCR5 CKLF CXCL10 CXCL16 CXCL8 CXCR4 XCL2 CCL15 CCL2 CCL24 CCL3 CCR1 CCR6 CMKLR1 CXCL11 CXCL2 CXCL9 CXCR5