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Endothelial JAM-A promotes reovirus viremia and bloodstream dissemination.
Lai CM, Boehme KW, Pruijssers AJ, Parekh VV, Van Kaer L, Parkos CA, Dermody TS
(2015) J Infect Dis 211: 383-93
MeSH Terms: Animals, Cell Adhesion Molecules, Cells, Cultured, Endothelial Cells, Fibroblasts, Male, Mice, Mice, Inbred C57BL, Receptors, Cell Surface, Receptors, Virus, Reoviridae, Tight Junctions, Viremia
Show Abstract · Added January 20, 2015
Viruses that cause systemic disease often spread through the bloodstream to infect target tissues. Although viremia is an important step in the pathogenesis of many viruses, how viremia is established is not well understood. Reovirus has been used to dissect mechanisms of viral pathogenesis and is being evaluated in clinical trials as an oncolytic agent. After peroral entry into mice, reovirus replicates within the gastrointestinal tract and disseminates systemically via hematogenous or neural routes. Junctional adhesion molecule-A (JAM-A) is a tight junction protein that serves as a receptor for reovirus. JAM-A is required for establishment of viremia and viral spread to sites of secondary replication. JAM-A also is expressed on the surface of circulating hematopoietic cells. To determine contributions of endothelial and hematopoietic JAM-A to reovirus dissemination and pathogenesis, we generated strains of mice with altered JAM-A expression in these cell types and assessed bloodstream spread of reovirus strain type 1 Lang (T1L), which disseminates solely by hematogenous routes. We found that endothelial JAM-A but not hematopoietic JAM-A facilitates reovirus T1L bloodstream entry and egress. Understanding how viruses establish viremia may aid in development of inhibitors of this critical step in viral pathogenesis and foster engineering of improved oncolytic viral vectors.
© The Author 2014. Published by Oxford University Press on behalf of the Infectious Diseases Society of America. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
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13 MeSH Terms
The Nogo receptor NgR1 mediates infection by mammalian reovirus.
Konopka-Anstadt JL, Mainou BA, Sutherland DM, Sekine Y, Strittmatter SM, Dermody TS
(2014) Cell Host Microbe 15: 681-91
MeSH Terms: Animals, CHO Cells, Capsid Proteins, Cell Adhesion Molecules, Cell Membrane, Cricetulus, GPI-Linked Proteins, Host-Pathogen Interactions, Humans, Mice, Mutant Strains, Myelin Proteins, Neuraminidase, Neurons, Nogo Receptor 1, Receptors, Cell Surface, Reoviridae, Reoviridae Infections, Virion
Show Abstract · Added January 21, 2015
Neurotropic viruses, including mammalian reovirus, must disseminate from an initial site of replication to the central nervous system (CNS), often binding multiple receptors to facilitate systemic spread. Reovirus engages junctional adhesion molecule A (JAM-A) to disseminate hematogenously. However, JAM-A is dispensable for reovirus replication in the CNS. We demonstrate that reovirus binds Nogo receptor NgR1, a leucine-rich repeat protein expressed in the CNS, to infect neurons. Expression of NgR1 confers reovirus binding and infection of nonsusceptible cells. Incubating reovirus virions with soluble NgR1 neutralizes infectivity. Blocking NgR1 on transfected cells or primary cortical neurons abrogates reovirus infection. Concordantly, reovirus infection is ablated in primary cortical neurons derived from NgR1 null mice. Reovirus virions bind to soluble JAM-A and NgR1, while infectious disassembly intermediates (ISVPs) bind only to JAM-A. These results suggest that reovirus uses different capsid components to bind distinct cell-surface molecules, engaging independent receptors to facilitate spread and tropism.
Copyright © 2014 Elsevier Inc. All rights reserved.
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18 MeSH Terms
Trans-dimerization of JAM-A regulates Rap2 and is mediated by a domain that is distinct from the cis-dimerization interface.
Monteiro AC, Luissint AC, Sumagin R, Lai C, Vielmuth F, Wolf MF, Laur O, Reiss K, Spindler V, Stehle T, Dermody TS, Nusrat A, Parkos CA
(2014) Mol Biol Cell 25: 1574-85
MeSH Terms: Amino Acid Substitution, Animals, Binding Sites, CHO Cells, Cell Adhesion, Cell Adhesion Molecules, Cell Aggregation, Cell Line, Cell Membrane, Cell Movement, Cricetulus, HEK293 Cells, Humans, Intercellular Junctions, Microscopy, Atomic Force, Mutation, Protein Multimerization, Protein Structure, Tertiary, RNA Interference, RNA, Small Interfering, Receptors, Cell Surface, Signal Transduction, Tight Junctions, rap GTP-Binding Proteins
Show Abstract · Added May 20, 2014
Junctional adhesion molecule-A (JAM-A) is a tight junction-associated signaling protein that regulates epithelial cell proliferation, migration, and barrier function. JAM-A dimerization on a common cell surface (in cis) has been shown to regulate cell migration, and evidence suggests that JAM-A may form homodimers between cells (in trans). Indeed, transfection experiments revealed accumulation of JAM-A at sites between transfected cells, which was lost in cells expressing cis- or predicted trans-dimerization null mutants. Of importance, microspheres coated with JAM-A containing alanine substitutions to residues 43NNP45 (NNP-JAM-A) within the predicted trans-dimerization site did not aggregate. In contrast, beads coated with cis-null JAM-A demonstrated enhanced clustering similar to that observed with wild-type (WT) JAM-A. In addition, atomic force microscopy revealed decreased association forces in NNP-JAM-A compared with WT and cis-null JAM-A. Assessment of effects of JAM-A dimerization on cell signaling revealed that expression of trans- but not cis-null JAM-A mutants decreased Rap2 activity. Furthermore, confluent cells, which enable trans-dimerization, had enhanced Rap2 activity. Taken together, these results suggest that trans-dimerization of JAM-A occurs at a unique site and with different affinity compared with dimerization in cis. Trans-dimerization of JAM-A may thus act as a barrier-inducing molecular switch that is activated when cells become confluent.
© 2014 Monteiro et al. This article is distributed by The American Society for Cell Biology under license from the author(s). Two months after publication it is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).
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24 MeSH Terms
Head-to-head comparison of serial soluble ST2, growth differentiation factor-15, and highly-sensitive troponin T measurements in patients with chronic heart failure.
Gaggin HK, Szymonifka J, Bhardwaj A, Belcher A, De Berardinis B, Motiwala S, Wang TJ, Januzzi JL
(2014) JACC Heart Fail 2: 65-72
MeSH Terms: Aged, Biomarkers, Cardiovascular Diseases, Chronic Disease, Female, Growth Differentiation Factor 15, Heart Failure, Humans, Interleukin-1 Receptor-Like 1 Protein, Male, Middle Aged, Natriuretic Peptide, Brain, Peptide Fragments, Prospective Studies, Receptors, Cell Surface, Risk Assessment, Treatment Outcome, Troponin T, Ventricular Dysfunction, Left, Ventricular Remodeling
Show Abstract · Added April 15, 2014
OBJECTIVES - This analysis aimed to perform a head-to-head comparison of 3 of the promising biomarkers of cardiovascular (CV) outcomes in heart failure (HF)-soluble ST2 (sST2), growth differentiation factor (GDF)-15, and highly-sensitive troponin T (hsTnT)-and to evaluate the role of serial measurement of these biomarkers in patients with chronic HF.
BACKGROUND - sST2, GDF-15, and hsTnT are strongly associated with CV outcomes in HF.
METHODS - This post-hoc analysis used data from a study in which 151 patients with chronic HF due to left ventricular systolic dysfunction were followed up over 10 months. At each visit, N-terminal pro-B-type natriuretic peptide (NT-proBNP), sST2, GDF-15, and hsTnT were measured and any major CV events were recorded.
RESULTS - Baseline values of all 3 novel biomarkers independently predicted total CV events even after adjusting for clinical and biochemical characteristics, including NT-proBNP, with the best model including all 3 biomarkers (p < 0.001). Adding serial measurement to the base model appeared to improve the model's predictive ability (with sST2 showing the most promise), but it is not clear whether this addition is a unique contribution. However, when time-dependent factors were included, only sST2 serial measurement independently added to the risk model (odds ratio: 3.64; 95% confidence interval: 1.37 to 9.67; p = 0.009) and predicted reverse myocardial remodeling (odds ratio: 1.22; 95% confidence interval: 1.04 to 1.43; p = 0.01).
CONCLUSIONS - In patients with chronic HF, baseline measurement of novel biomarkers added independent prognostic information to clinical variables and NT-proBNP. Only serial measurement of sST2 appeared to add prognostic information to baseline concentrations and predicted change in left ventricular function. (Use of NT-proBNP Testing to Guide Heart Failure Therapy in the Outpatient Setting (PROTECT)]; NCT00351390).
Copyright © 2014 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.
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20 MeSH Terms
Relation between soluble ST2, growth differentiation factor-15, and high-sensitivity troponin I and incident atrial fibrillation.
Rienstra M, Yin X, Larson MG, Fontes JD, Magnani JW, McManus DD, McCabe EL, Coglianese EE, Amponsah M, Ho JE, Januzzi JL, Wollert KC, Fradley MG, Vasan RS, Ellinor PT, Wang TJ, Benjamin EJ
(2014) Am Heart J 167: 109-115.e2
MeSH Terms: Aged, Atrial Fibrillation, Biomarkers, C-Reactive Protein, Female, Growth Differentiation Factor 15, Humans, Interleukin-1 Receptor-Like 1 Protein, Male, Middle Aged, Natriuretic Peptide, Brain, Proportional Hazards Models, Receptors, Cell Surface, Risk Assessment, Risk Factors
Show Abstract · Added April 15, 2014
BACKGROUND - We investigated whether circulating concentrations of soluble ST2, growth differentiation factor-15 (GDF-15), and high-sensitivity troponin I (hsTnI) are associated with incident atrial fibrillation (AF) and whether these biomarkers improve current risk prediction models including AF risk factors, B-type natriuretic peptide (BNP), and C-reactive protein (CRP).
METHODS - We studied the relation between soluble ST2, GDF-15, and hsTnI and development of AF in Framingham Heart Study participants without prevalent AF. We used Cox proportional hazard regression analysis to examine the relation of incident AF during a 10-year follow-up period with each biomarker. We adjusted for standard AF clinical risk factors, BNP, and CRP.
RESULTS - The mean age of the 3,217 participants was 59 ± 10 years, and 54% were women. During a 10-year follow-up, 242 participants developed AF. In age- and sex-adjusted models, GDF-15 and hsTnI were associated with risk of incident AF; however, after including the AF risk factors and BNP and CRP, only hsTnI was significantly associated with AF (hazard ratio per 1 SD of loge hsTnI, 1.12, 95% CI 1.00-1.26, P = .045). The c statistic of the base model including AF risk factors, BNP, and CRP was 0.803 (95% CI 0.777-0.830) and did not improve by adding individual or all 3 biomarkers. None of the discrimination and reclassification statistics were significant compared with the base model.
CONCLUSION - In a community-based cohort, circulating hsTnI concentrations were associated with incident AF. None of the novel biomarkers evaluated improved AF risk discrimination or reclassification beyond standard clinical AF risk factors and biomarkers.
© 2014.
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15 MeSH Terms
Comparison of protein immunoprecipitation-multiple reaction monitoring with ELISA for assay of biomarker candidates in plasma.
Lin D, Alborn WE, Slebos RJ, Liebler DC
(2013) J Proteome Res 12: 5996-6003
MeSH Terms: Amino Acid Sequence, Animals, Antibodies, Antigens, CD, Biomarkers, Tumor, Carcinoma, Cartilage Oligomeric Matrix Protein, Cattle, Colonic Neoplasms, Endoglin, Enzyme-Linked Immunosorbent Assay, GPI-Linked Proteins, Hernia, Humans, Immunoprecipitation, Mass Spectrometry, Matrix Metalloproteinase 9, Molecular Sequence Data, Receptors, Cell Surface, Thrombospondins, Tissue Inhibitor of Metalloproteinase-1
Show Abstract · Added March 7, 2014
Quantitative analysis of protein biomarkers in plasma is typically done by ELISA, but this method is limited by the availability of high-quality antibodies. An alternative approach is protein immunoprecipitation combined with multiple reaction monitoring mass spectrometry (IP-MRM). We compared IP-MRM to ELISA for the analysis of six colon cancer biomarker candidates (metalloproteinase inhibitor 1 (TIMP1), cartilage oligomeric matrix protein (COMP), thrombospondin-2 (THBS2), endoglin (ENG), mesothelin (MSLN) and matrix metalloproteinase-9 (MMP9)) in plasma from colon cancer patients and noncancer controls. Proteins were analyzed by multiplex immunoprecipitation from plasma with the ELISA capture antibodies, further purified by SDS-PAGE, digested and analyzed by stable isotope dilution MRM. IP-MRM provided linear responses (r = 0.978-0.995) between 10 and 640 ng/mL for the target proteins spiked into a "mock plasma" matrix consisting of 60 mg/mL bovine serum albumin. Measurement variation (coefficient of variation at the limit of detection) for IP-MRM assays ranged from 2.3 to 19%, which was similar to variation for ELISAs of the same samples. IP-MRM and ELISA measurements for all target proteins except ENG were highly correlated (r = 0.67-0.97). IP-MRM with high-quality capture antibodies thus provides an effective alternative method to ELISA for protein quantitation in biological fluids.
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21 MeSH Terms
Association of novel biomarkers of cardiovascular stress with left ventricular hypertrophy and dysfunction: implications for screening.
Xanthakis V, Larson MG, Wollert KC, Aragam J, Cheng S, Ho J, Coglianese E, Levy D, Colucci WS, Michael Felker G, Benjamin EJ, Januzzi JL, Wang TJ, Vasan RS
(2013) J Am Heart Assoc 2: e000399
MeSH Terms: Aged, Biomarkers, Echocardiography, Doppler, Female, Growth Differentiation Factor 15, Humans, Hypertrophy, Left Ventricular, Interleukin-1 Receptor-Like 1 Protein, Logistic Models, Male, Massachusetts, Middle Aged, Multivariate Analysis, Natriuretic Peptide, Brain, Odds Ratio, Predictive Value of Tests, Prevalence, Prognosis, Receptors, Cell Surface, Risk Factors, Stress, Physiological, Stroke Volume, Troponin I, Ventricular Dysfunction, Left, Ventricular Function, Left
Show Abstract · Added April 15, 2014
BACKGROUND - Currently available screening tools for left ventricular (LV) hypertrophy (LVH) and systolic dysfunction (LVSD) are either expensive (echocardiography) or perform suboptimally (B-type natriuretic peptide [BNP]). It is unknown whether newer biomarkers are associated with LVH and LVSD and can serve as screening tools.
METHODS AND RESULTS - We studied 2460 Framingham Study participants (mean age 58 years, 57% women) with measurements of biomarkers mirroring cardiac biomechanical stress (soluble ST-2 [ST2], growth differentiation factor-15 [GDF-15] and high-sensitivity troponin I [hsTnI]) and BNP. We defined LVH as LV mass/height(2) ≥the sex-specific 80th percentile and LVSD as mild/greater impairment of LV ejection fraction (LVEF) or a fractional shortening <0.29. Adjusting for standard risk factors in logistic models, BNP, GDF-15, and hsTnI were associated with the composite echocardiographic outcome (LVH or LVSD), odds ratios (OR) per SD increment in log-biomarker 1.29, 1.14, and 1.18 (95% CI: 1.15 to 1.44, 1.004 to 1.28, and 1.06 to 1.31), respectively. The C-statistic for the composite outcome increased from 0.765 with risk factors to 0.770 adding BNP, to 0.774 adding novel biomarkers. The continuous Net Reclassification Improvement was 0.212 (95% CI: 0.119 to 0.305, P<0.0001) after adding the novel biomarkers to risk factors plus BNP. BNP was associated with LVH and LVSD in multivariable models, whereas GDF-15 was associated with LVSD (OR 1.41, 95% CI: 1.16 to 1.70), and hsTnI with LVH (OR 1.22, 95% CI: 1.09 to 1.36). ST2 was not significantly associated with any outcome.
CONCLUSIONS - Our community-based investigation suggests that cardiac stress biomarkers are associated with LVH and LVSD but may have limited clinical utility as screening tools.
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25 MeSH Terms
Heritable forms of pulmonary arterial hypertension.
Austin ED, Loyd JE
(2013) Semin Respir Crit Care Med 34: 568-80
MeSH Terms: Activin Receptors, Type II, Antigens, CD, Bone Morphogenetic Protein Receptors, Type II, Caveolin 1, Endoglin, Familial Primary Pulmonary Hypertension, Female, Gene-Environment Interaction, Genetic Counseling, Genetic Testing, Germ-Line Mutation, Humans, Hypertension, Pulmonary, Male, Nerve Tissue Proteins, Penetrance, Potassium Channels, Tandem Pore Domain, Pregnancy, Preimplantation Diagnosis, Receptors, Cell Surface, Sex Distribution, TGF-beta Superfamily Proteins
Show Abstract · Added March 20, 2014
Tremendous progress has been made in understanding the genetics of heritable pulmonary arterial hypertension (HPAH) since its description in the 1950s. Germline mutations in the gene coding bone morphogenetic receptor type 2 (BMPR2) are detectable in the majority of cases of HPAH, and in a small proportion of cases of idiopathic pulmonary arterial hypertension (IPAH). Recent advancements in gene sequencing methods have facilitated the discovery of additional genes with mutations among those with and without familial PAH (CAV1, KCNK3). HPAH is an autosomal dominant disease characterized by reduced penetrance, variable expressivity, and female predominance. These characteristics suggest that genetic and nongenetic factors modify disease expression, highlighting areas of active investigation. The reduced penetrance makes genetic counseling complex, as the majority of carriers of PAH-related mutations will never be diagnosed with the disease. This issue is increasingly important, as clinical testing for BMPR2 and other mutations is now available for the evaluation of patients and their at-risk kin. The possibilities to avoid mutation transmission, such as the rapidly advancing field of preimplantation genetic testing, highlight the need for all clinicians to understand the genetic features of PAH risk.
Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.
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22 MeSH Terms
Common genetic variation at the IL1RL1 locus regulates IL-33/ST2 signaling.
Ho JE, Chen WY, Chen MH, Larson MG, McCabe EL, Cheng S, Ghorbani A, Coglianese E, Emilsson V, Johnson AD, Walter S, Franceschini N, O'Donnell CJ, CARDIoGRAM Consortium, CHARGE Inflammation Working Group, Dehghan A, Lu C, Levy D, Newton-Cheh C, CHARGE Heart Failure Working Group, Lin H, Felix JF, Schreiter ER, Vasan RS, Januzzi JL, Lee RT, Wang TJ
(2013) J Clin Invest 123: 4208-18
MeSH Terms: Amino Acid Substitution, Female, Gene Expression, Gene Expression Regulation, Genetic Association Studies, HEK293 Cells, Humans, Interleukin-1 Receptor-Like 1 Protein, Interleukin-33, Interleukins, Male, Middle Aged, Models, Molecular, Myelin and Lymphocyte-Associated Proteolipid Proteins, Myeloid Differentiation Factor 88, NF-kappa B, Polymorphism, Single Nucleotide, Promoter Regions, Genetic, Prospective Studies, Protein Structure, Tertiary, Receptors, Cell Surface, Signal Transduction, Transcription Factor AP-1
Show Abstract · Added April 15, 2014
The suppression of tumorigenicity 2/IL-33 (ST2/IL-33) pathway has been implicated in several immune and inflammatory diseases. ST2 is produced as 2 isoforms. The membrane-bound isoform (ST2L) induces an immune response when bound to its ligand, IL-33. The other isoform is a soluble protein (sST2) that is thought to be a decoy receptor for IL-33 signaling. Elevated sST2 levels in serum are associated with an increased risk for cardiovascular disease. We investigated the determinants of sST2 plasma concentrations in 2,991 Framingham Offspring Cohort participants. While clinical and environmental factors explained some variation in sST2 levels, much of the variation in sST2 production was driven by genetic factors. In a genome-wide association study (GWAS), multiple SNPs within IL1RL1 (the gene encoding ST2) demonstrated associations with sST2 concentrations. Five missense variants of IL1RL1 correlated with higher sST2 levels in the GWAS and mapped to the intracellular domain of ST2, which is absent in sST2. In a cell culture model, IL1RL1 missense variants increased sST2 expression by inducing IL-33 expression and enhancing IL-33 responsiveness (via ST2L). Our data suggest that genetic variation in IL1RL1 can result in increased levels of sST2 and alter immune and inflammatory signaling through the ST2/IL-33 pathway.
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23 MeSH Terms
JAM-A associates with ZO-2, afadin, and PDZ-GEF1 to activate Rap2c and regulate epithelial barrier function.
Monteiro AC, Sumagin R, Rankin CR, Leoni G, Mina MJ, Reiter DM, Stehle T, Dermody TS, Schaefer SA, Hall RA, Nusrat A, Parkos CA
(2013) Mol Biol Cell 24: 2849-60
MeSH Terms: Animals, Capsid Proteins, Cell Adhesion Molecules, Cell Line, Cell Membrane Permeability, Cell Polarity, Cytoskeleton, Down-Regulation, Endocytosis, Epithelial Cells, Guanine Nucleotide Exchange Factors, Humans, Mice, Microfilament Proteins, Models, Biological, Molecular Weight, Nerve Tissue Proteins, Protein Binding, Protein Transport, Receptors, Cell Surface, Tight Junctions, Zonula Occludens-2 Protein, rap1 GTP-Binding Proteins, ras Proteins, rhoA GTP-Binding Protein
Show Abstract · Added December 10, 2013
Intestinal barrier function is regulated by epithelial tight junctions (TJs), structures that control paracellular permeability. Junctional adhesion molecule-A (JAM-A) is a TJ-associated protein that regulates barrier; however, mechanisms linking JAM-A to epithelial permeability are poorly understood. Here we report that JAM-A associates directly with ZO-2 and indirectly with afadin, and this complex, along with PDZ-GEF1, activates the small GTPase Rap2c. Supporting a functional link, small interfering RNA-mediated down-regulation of the foregoing regulatory proteins results in enhanced permeability similar to that observed after JAM-A loss. JAM-A-deficient mice and cultured epithelial cells demonstrate enhanced paracellular permeability to large molecules, revealing a potential role of JAM-A in controlling perijunctional actin cytoskeleton in addition to its previously reported role in regulating claudin proteins and small-molecule permeability. Further experiments suggest that JAM-A does not regulate actin turnover but modulates activity of RhoA and phosphorylation of nonmuscle myosin, both implicated in actomyosin contraction. These results suggest that JAM-A regulates epithelial permeability via association with ZO-2, afadin, and PDZ-GEF1 to activate Rap2c and control contraction of the apical cytoskeleton.
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25 MeSH Terms