Transcriptional Blood Signatures for Active and Amphotericin B Treated
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Peripheral Mononuclear Blood Cells Contribute to The
Genes Nutr (2015) 10:11 DOI 10.1007/s12263-015-0460-8 RESEARCH PAPER Peripheral mononuclear blood cells contribute to the obesity- associated inflammatory state independently of glycemic status: involvement of the novel proinflammatory adipokines chemerin, chitinase-3-like protein 1, lipocalin-2 and osteopontin 1,2,3 1,2,3 1,2,3 Victoria Catala´n • Javier Go´mez-Ambrosi • Amaia Rodrı´guez • 1,2,3 2,4 3,5 2,3,6 Beatriz Ramı´rez • Vı´ctor Valentı´ • Rafael Moncada • Camilo Silva • 2,6 1,2,3,6 Javier Salvador • Gema Fru¨hbeck Received: 24 December 2014 / Accepted: 28 March 2015 / Published online: 14 April 2015 Ó Springer-Verlag Berlin Heidelberg 2015 Abstract Inflammation is a critical contributor to the including chemerin, chitinase-3-like protein 1 (YKL-40), pathogenesis of metabolic disorders with adipose tissue lipocalin-2 (LCN-2) and osteopontin (OPN), and their being crucial in the inflammatory response by releasing circulating concentrations were also determined by ELISA. multiple adipokines with either pro- or anti-inflammatory We show, for the first time, that PBMC gene expression activities with potential functions as metabolic regulators. levels of chemerin (P \ 0.0001), chitinase-3-like protein 1 Peripheral blood mononuclear cells (PBMC) have been (P = 0.010), lipocalin-2 (P \ 0.0001) and osteopontin proposed as representative of the inflammatory status in (P \ 0.0001) were strongly upregulated in obesity inde- obesity. The aim of the present study was to evaluate the pendently of the glycemic state. Circulating concentrations contribution of PBMC to the obesity-associated chronic of these adipokines followed the same trend being sig- inflammation analyzing the expression of novel adipokines. -
Human and Mouse CD Marker Handbook Human and Mouse CD Marker Key Markers - Human Key Markers - Mouse
Welcome to More Choice CD Marker Handbook For more information, please visit: Human bdbiosciences.com/eu/go/humancdmarkers Mouse bdbiosciences.com/eu/go/mousecdmarkers Human and Mouse CD Marker Handbook Human and Mouse CD Marker Key Markers - Human Key Markers - Mouse CD3 CD3 CD (cluster of differentiation) molecules are cell surface markers T Cell CD4 CD4 useful for the identification and characterization of leukocytes. The CD CD8 CD8 nomenclature was developed and is maintained through the HLDA (Human Leukocyte Differentiation Antigens) workshop started in 1982. CD45R/B220 CD19 CD19 The goal is to provide standardization of monoclonal antibodies to B Cell CD20 CD22 (B cell activation marker) human antigens across laboratories. To characterize or “workshop” the antibodies, multiple laboratories carry out blind analyses of antibodies. These results independently validate antibody specificity. CD11c CD11c Dendritic Cell CD123 CD123 While the CD nomenclature has been developed for use with human antigens, it is applied to corresponding mouse antigens as well as antigens from other species. However, the mouse and other species NK Cell CD56 CD335 (NKp46) antibodies are not tested by HLDA. Human CD markers were reviewed by the HLDA. New CD markers Stem Cell/ CD34 CD34 were established at the HLDA9 meeting held in Barcelona in 2010. For Precursor hematopoetic stem cell only hematopoetic stem cell only additional information and CD markers please visit www.hcdm.org. Macrophage/ CD14 CD11b/ Mac-1 Monocyte CD33 Ly-71 (F4/80) CD66b Granulocyte CD66b Gr-1/Ly6G Ly6C CD41 CD41 CD61 (Integrin b3) CD61 Platelet CD9 CD62 CD62P (activated platelets) CD235a CD235a Erythrocyte Ter-119 CD146 MECA-32 CD106 CD146 Endothelial Cell CD31 CD62E (activated endothelial cells) Epithelial Cell CD236 CD326 (EPCAM1) For Research Use Only. -
Semaphorin7a Promotes Tumor Growth and Exerts a Pro-Angiogenic Effect in Macrophages of Mammary Tumor-Bearing Mice
ORIGINAL RESEARCH ARTICLE published: 05 February 2014 doi: 10.3389/fphys.2014.00017 Semaphorin7A promotes tumor growth and exerts a pro-angiogenic effect in macrophages of mammary tumor-bearing mice Ramon Garcia-Areas 1, Stephania Libreros 1, Samantha Amat 1, Patricia Keating 2, Roberto Carrio 3, Phillip Robinson 4, Clifford Blieden 5 and Vijaya Iragavarapu-Charyulu 1* 1 Tumor Immunology, Department of Biomedical Sciences, Florida Atlantic University, Boca Raton, FL, USA 2 Immunology, Department of Biological Sciences, Florida Atlantic University, Boca Raton, FL, USA 3 Tumor Immunology, Microbiology and Immunology, University of Miami Miller School of Medicine, Miami, FL, USA 4 Department of Clinical Sciences, Florida Atlantic University, Boca Raton, FL, USA 5 Department of Pathology and Laboratory Medicine, Jackson Memorial Hospital, University of Miami Miller School of Medicine, Miami, FL, USA Edited by: Semaphorins are a large family of molecules involved in axonal guidance during the Michal A. Rahat, Technion - Israel development of the nervous system and have been recently shown to have both Institute for Technology, Israel angiogenic and anti-angiogenic properties. Specifically, semaphorin 7A (SEMA7A) has Reviewed by: been reported to have a chemotactic activity in neurogenesis and to be an immune Andrea Foskett, Texas A&M Health α β Science Center, USA modulator through 1 1integrins. SEMA7A has been shown to promote monocyte Jincai Luo, The University of Tokyo, chemotaxis and induce them to produce proinflammatory mediators. In this study we Japan explored the role of SEMA7A in a murine model of breast cancer. We show that SEMA7A Zahava Vadasz, Bnai-Zion Medical is highly expressed by DA-3 murine mammary tumor cells in comparison to normal Center, Israel mammary cells (EpH4), and that peritoneal elicited macrophages from mammary tumor- *Correspondence: Vijaya Iragavarapu-Charyulu, Tumor bearing mice also express SEMA7A at higher levels compared to those derived from Immunology, Department of normal mice. -
Genome-Wide Analysis Identifies Critical DNA Methylations Within
Chen et al. J Transl Med (2021) 19:73 https://doi.org/10.1186/s12967-021-02740-6 Journal of Translational Medicine RESEARCH Open Access Genome-wide analysis identifes critical DNA methylations within NTRKs genes in colorectal cancer Zijian Chen1,3† , Zenghong Huang2,3†, Yanxin Luo2,3, Qi Zou3,4, Liangliang Bai3, Guannan Tang3, Xiaolin Wang3, Guangwen Cao5, Meijin Huang2,3, Jun Xiang1* and Huichuan Yu3* Abstract Background: Neurotrophic tropomyosin receptor kinases (NTRKs) are a gene family function as oncogene or tumor suppressor gene in distinct cancers. We aimed to investigate the methylation and expression profles and prognostic value of NTRKs gene in colorectal cancer (CRC). Methods: An analysis of DNA methylation and expression profles in CRC patients was performed to explore the critical methylations within NTRKs genes. The methylation marker was validated in a retrospectively collected cohort of 229 CRC patients and tested in other tumor types from TCGA. DNA methylation status was determined by quantita- tive methylation-specifc PCR (QMSP). Results: The profles in six CRC cohorts showed that NTRKs gene promoter was more frequently methylated in CRC compared to normal mucosa, which was associated with suppressed gene expression. We identifed a specifc methylated region within NTRK3 promoter targeted by cg27034819 and cg11525479 that best predicted survival outcome in CRC. NTRK3 promoter methylation showed independently predictive value for survival outcome in the validation cohort (P 0.004, HR 2.688, 95% CI [1.355, 5.333]). Based on this, a nomogram predicting survival outcome was developed with= a C-index of 0.705. Furthermore, the addition of NTRK3 promoter methylation improved the performance of currently-used prognostic model (AIC: 516.49 vs 513.91; LR: 39.06 vs 43.64, P 0.032). -
Chitinase 3-Like-1, a Novel Regulator of Th1/CTL Responses, As a Therapeutic Target for Increasing Anti-Tumor Immunity
BMB Rep. 2018; 51(5): 207-208 BMB www.bmbreports.org Reports Perspective Chitinase 3-like-1, a novel regulator of Th1/CTL responses, as a therapeutic target for increasing anti-tumor immunity Do-Hyun Kim1,2 & Je-Min Choi1,2,* 1Department of Life Science, College of Natural Sciences, Hanyang University, Seoul 04763, 2Research Institute for Natural Sciences, Hanyang University, Seoul 04763, Korea Chitinase-Like Proteins (CLPs) are an evolutionarily conserved Chitinase is an enzyme that degrades chitin macromolecules, protein which lose their enzymatic activity for degrading chitin which are long-chain polymers of N-acetylglucosamine, a macromolecules. Chitinase-3-like-1 (Chi3l1) is a type of CLP component of cell walls in fungi and the exoskeletons of that is highly expressed in epithelial cells, macrophages, etc., arthropods. Surprisingly, several chitinase and chitinase-like and is known to have correlations with type 2 inflammation proteins (CLPs) have been identified in mammals, and their and cancer. Although the increased level of Chi3l1 in the expression is upregulated in various inflammatory diseases and blood was reported in various disease patients, the function of tumors. Ym1/2 (Chi3l3, Chi3l4) are well-known CLPs as Chi3l1 in adaptive immunity has been totally unknown. markers of alternative activated macrophages and contributors Recently, we found that Chi3l1 is expressed in T cells and has to allergic diseases. A recent study suggests that these CLPs a negative regulatory role in T-cell activation and proliferation. promote T-cell mediated-IL-17 production and neutrophilia A genetic ablation study of Chi3l1 in T cells showed in parasite infection. -
Curriculum Vitae
Revised 08/14/2019 Yang Zhou, Ph.D. CURRICULUM VITAE NAME Yang Zhou, Ph.D. DATE OF BIRTH March 11, 1983 CITIZENSHIP Chinese (U.S. Permanent Resident) CURRENT POSITION Assistant Professor of Molecular Microbiology & Immunology Division of Biology and Medicine, Brown University Sidney Frank Hall, Room 258 Box G-B5, 185 Meeting Street Providence, RI 02912 401-863-5933 Email: [email protected] ACADEMIC APPOINTMENTS 07/01/2014 Assistant Professor Department of Molecular Microbiology and Immunology Division of Biology and Medicine, Brown University Providence, RI 09/01/2011 Associate Research Scientist Section of Pulmonary, Critical Care and Sleep Medicine Department of Internal Medicine Yale University School of Medicine, New Haven, CT EDUCATION 2010-2011 Postdoctoral Associate Section of Pulmonary and Critical Care Medicine Department of Internal Medicine Yale University School of Medicine, New Haven, CT Mentor, Jack A. Elias, M.D. 2005-2010 Ph.D. in Biochemistry and Molecular Biology The University of Texas Health Sciences Center Houston, TX Advisor, Michael R. Blackburn, Ph.D. 2001-2005 B.S. in Biochemistry Nanjing University, Nanjing, China 1 Revised 08/14/2019 Yang Zhou, Ph.D. AWARDS AND HONORS 2013-2014 American Thoracic Society Abstract Scholarship Award 2011 American Thoracic Society Hermansky-Pudlak Syndrome Network Research Award 2010 President’s Research Scholarship The University of Texas Health Science Center 2010 Graduate Student Education Committee Poster Competition The University of Texas Health Sciences Center 2009 Dean’s -
Dipeptidase As Biomarkers Associated With
Cantó et al. Journal of Neuroinflammation 2014, 11:181 JOURNAL OF http://www.jneuroinflammation.com/content/11/1/181 NEUROINFLAMMATION RESEARCH Open Access Validation of semaphorin 7A and ala-β-his- dipeptidase as biomarkers associated with the conversion from clinically isolated syndrome to multiple sclerosis Ester Cantó1, Mar Tintoré1, Luisa Maria Villar2, Eva Borrás3, Jose Carlos Álvarez-Cermeño2, Cristina Chiva3, Eduard Sabidó3, Alex Rovira4, Xavier Montalban1 and Manuel Comabella1,5* Abstract Background: In a previous proteomics study using pooled cerebrospinal fluid (CSF) samples, we proposed apolipoprotein AI, apolipoprotein AIV, vitronectin, plasminogen, semaphorin 7A, and ala-β-his-dipeptidase as candidate biomarkers associated with the conversion to clinically definite multiple sclerosis (CDMS) in patients with clinically isolated syndromes (CIS). Here, we aimed to validate these results in individual CSF samples using alternative techniques. Methods: In a first replication study, levels of apolipoproteins AI and AIV, vitronectin, and plasminogen were measured by ELISA in CSF and serum of 56 CIS patients (29 patients who converted to CDMS (MS converters) and 27 patients who remained with CIS during follow-up (MS non-converters)) and 26 controls with other neurological disorders. Semaphorin 7A and ala-β-his-dipeptidase levels were determined by selected reaction monitoring (SRM) in CSF of 36 patients (18 MS converters, 18 non-converters) and 20 controls. In a second replication study, apolipoprotein AI levels were measured by ELISA in CSF of 74 CIS patients (47 MS converters, 27 non-converters) and 50 individual controls, and levels of semaphorin 7A and ala-beta-his-dipeptidase were determined by SRM in 49 patients (24 MS converters, 25 non-converters) and 22 controls. -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of -
Chitinase-3-Like 1 Protein (CHI3L1) Locus Influences Cerebrospinal Fluid Levels of YKL-40 Yuetiva Deming1 , Kathleen Black1, David Carrell1, Yefei Cai1, Jorge L
Deming et al. BMC Neurology (2016) 16:217 DOI 10.1186/s12883-016-0742-9 RESEARCH ARTICLE Open Access Chitinase-3-like 1 protein (CHI3L1) locus influences cerebrospinal fluid levels of YKL-40 Yuetiva Deming1 , Kathleen Black1, David Carrell1, Yefei Cai1, Jorge L. Del-Aguila1, Maria Victoria Fernandez1, John Budde1, ShengMei Ma1, Benjamin Saef1, Bill Howells1, Sarah Bertelsen2, Kuan-lin Huang3, Courtney L. Sutphen4, Rawan Tarawneh4,5,6, Anne M. Fagan4,5,6, David M. Holtzman4,5,6,7, John C. Morris4,5,6,7, Alison M. Goate2, Joseph D. Dougherty1,3 and Carlos Cruchaga1,6* Abstract Background: Alzheimer’s disease (AD) pathology appears several years before clinical symptoms, so identifying ways to detect individuals in the preclinical stage is imperative. The cerebrospinal fluid (CSF) Tau/Aβ42 ratio is currently the best known predictor of AD status and cognitive decline, and the ratio of CSF levels of chitinase-3-like 1 protein (CHI3L1, YKL-40) and amyloid beta (Aβ42) were reported as predictive, but individual variability and group overlap inhibits their utility for individual diagnosis making it necessary to find ways to improve sensitivity of these biomarkers. Methods: We used linear regression to identify genetic loci associated with CSF YKL-40 levels in 379 individuals (80 cognitively impaired and 299 cognitively normal) from the Charles F and Joanne Knight Alzheimer’s Disease Research Center. We tested correlations between YKL-40 and CSF Tau/Aβ42 ratio, Aβ42, tau, and phosphorylated tau (ptau181). We used studentized residuals from a linear regression model of the log-transformed, standardized protein levels and the additive reference allele counts from the most significant locus to adjust YKL-40 values and tested the differences in correlations with CSF Tau/Aβ42 ratio, Aβ42, tau, and ptau181. -
2021 Code Changes Reference Guide
Boston University Medical Group 2021 CPT Code Changes Reference Guide Page 1 of 51 Background Current Procedural Terminology (CPT) was created by the American Medical Association (AMA) in 1966. It is designed to be a means of effective and dependable communication among physicians, patients, and third-party payers. CPT provides a uniform coding scheme that accurately describes medical, surgical, and diagnostic services. CPT is used for public and private reimbursement systems; development of guidelines for medical care review; as a basis for local, regional, and national utilization comparisons; and medical education and research. CPT Category I codes describe procedures and services that are consistent with contemporary medical practice. Category I codes are five-digit numeric codes. CPT Category II codes facilitate data collection for certain services and test results that contribute to positive health outcomes and quality patient care. These codes are optional and used for performance management. They are alphanumeric five-digit codes with the alpha character F in the last position. CPT Category III codes represent emerging technologies. They are alphanumeric five-digit codes with the alpha character T in the last position. The CPT Editorial Panel, appointed by the AMA Board of Trustees, is responsible for maintaining and updating the CPT code set. Purpose The AMA makes annual updates to the CPT code set, effective January 1. These updates include deleted codes, revised codes, and new codes. It’s important for providers to understand the code changes and the impact those changes will have to systems, workflow, reimbursement, and RVUs. This document is meant to assist you with this by providing a summary of the changes; a detailed breakdown of this year’s CPT changes by specialty, and HCPCS Updates for your reference. -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
Host Genetics and Infectious Disease: New Tools, Insights and Translational Opportunities
REVIEWS Host genetics and infectious disease: new tools, insights and translational opportunities Andrew J. Kwok 1, Alex Mentzer 1,2 and Julian C. Knight 1 ✉ Abstract | Understanding how human genetics influence infectious disease susceptibility offers the opportunity for new insights into pathogenesis, potential drug targets, risk stratification, response to therapy and vaccination. As new infectious diseases continue to emerge, together with growing levels of antimicrobial resistance and an increasing awareness of substantial differences between populations in genetic associations, the need for such work is expanding. In this Review, we illustrate how our understanding of the host–pathogen relationship is advancing through holistic approaches, describing current strategies to investigate the role of host genetic variation in established and emerging infections, including COVID-19, the need for wider application to diverse global populations mirroring the burden of disease, the impact of pathogen and vector genetic diversity and a broad array of immune and inflammation phenotypes that can be mapped as traits in health and disease. Insights from study of inborn errors of immunity and multi-omics profiling together with developments in analytical methods are further advancing our knowledge of this important area. Penetrance Disease syndromes caused by infectious agents have A seminal study of adoptees in the 1980s reported 1 The proportion of individuals occurred throughout the history of modern humans . increased risk of death from infectious disease in chil- with a particular genotype As a result of our continued interactions with patho- dren whose biological parents succumbed to an infec- that also has an associated gens, our genomes have been shaped through processes tious disease7, highlighting the significance of human phenotype.