Institution
Charité
Healthcare•Berlin, Germany•
About: Charité is a healthcare organization based out in Berlin, Germany. It is known for research contribution in the topics: Population & Transplantation. The organization has 30624 authors who have published 64507 publications receiving 2437322 citations. The organization is also known as: Charite & Charité – University Medicine Berlin.
Topics: Population, Transplantation, Immune system, Heart failure, Cancer
Papers published on a yearly basis
Papers
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TL;DR: Recent advances in understanding how glucose metabolism sustains basic brain physiology are reviewed to form a comprehensive picture of the cooperation required between different systems and cell types, and the specific breakdowns in this cooperation that lead to disease.
1,021 citations
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TL;DR: This review summarizes the current knowledge of this large protein family and discusses recent advances in the understanding of their structure and physiological functions.
Abstract: Claudins are tight junction membrane proteins that are expressed in epithelia and endothelia and form paracellular barriers and pores that determine tight junction permeability. This review summarizes our current knowledge of this large protein family and discusses recent advances in our understanding of their structure and physiological functions.
1,018 citations
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University of Basel1, Radboud University Nijmegen2, University of Padua3, Complutense University of Madrid4, University of Paris5, University of Zurich6, University of Bari7, Lithuanian University of Health Sciences8, University of Florence9, Russian Academy10, Rambam Health Care Campus11, University of Regensburg12, Charité13, University of the Witwatersrand14, Johns Hopkins University15, University of Coimbra16, University of Verona17, Lund University18, University of Ljubljana19, Utrecht University20, University of Pécs21, Medical University of Vienna22, University of Debrecen23, Sapienza University of Rome24, University of Geneva25, University of Silesia in Katowice26, University College London27, University of Tübingen28, Military Medical Academy29, Lille University of Science and Technology30, University of Michigan31, Iuliu Hațieganu University of Medicine and Pharmacy32, Charles University in Prague33, University of Zagreb34
TL;DR: Disease-related causes, in particular pulmonary fibrosis, PAH and cardiac causes, accounted for the majority of deaths in SSc.
Abstract: Objectives To determine the causes and predictors of mortality in systemic sclerosis (SSc). Methods Patients with SSc (n=5860) fulfilling the American College of Rheumatology criteria and prospectively followed in the EULAR Scleroderma Trials and Research (EUSTAR) cohort were analysed. EUSTAR centres completed a structured questionnaire on cause of death and comorbidities. Kaplan-Meier and Cox proportional hazards models were used to analyse survival in SSc subgroups and to identify predictors of mortality. Results Questionnaires were obtained on 234 of 284 fatalities. 55% of deaths were attributed directly to SSc and 41% to non-SSc causes; in 4% the cause of death was not assigned. Of the SSc-related deaths, 35% were attributed to pulmonary fibrosis, 26% to pulmonary arterial hypertension (PAH) and 26% to cardiac causes (mainly heart failure and arrhythmias). Among the non-SSc-related causes, infections (33%) and malignancies (31%) were followed by cardiovascular causes (29%). Of the non-SSc-related fatalities, 25% died of causes in which SSc-related complications may have participated (pneumonia, sepsis and gastrointestinal haemorrhage). Independent risk factors for mortality and their HR were: proteinuria (HR 3.34), the presence of PAH based on echocardiography (HR 2.02), pulmonary restriction (forced vital capacity below 80% of normal, HR 1.64), dyspnoea above New York Heart Association class II (HR 1.61), diffusing capacity of the lung (HR 1.20 per 10% decrease), patient age at onset of Raynaud's phenomenon (HR 1.30 per 10 years) and the modified Rodnan skin score (HR 1.20 per 10 score points). Conclusion Disease-related causes, in particular pulmonary fibrosis, PAH and cardiac causes, accounted for the majority of deaths in SSc.
1,010 citations
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University of Iceland1, University of Manchester2, Charité3, University of California, San Diego4, University of Amsterdam5, Netherlands Bioinformatics Centre6, Chalmers University of Technology7, University of Virginia8, University of Sheffield9, Central Manchester University Hospitals NHS Foundation Trust10, University of Vienna11, University of North Texas12, California Institute of Technology13, European Bioinformatics Institute14, Babraham Institute15, University of Warwick16, University of Edinburgh17, Institute for Systems Biology18, University of Luxembourg19, Jacobs University Bremen20, Russian Academy of Sciences21, VU University Amsterdam22, Virginia Bioinformatics Institute23
TL;DR: Recon 2, a community-driven, consensus 'metabolic reconstruction', is described, which is the most comprehensive representation of human metabolism that is applicable to computational modeling and has improved topological and functional features.
Abstract: Multiple models of human metabolism have been reconstructed, but each represents only a subset of our knowledge. Here we describe Recon 2, a community-driven, consensus 'metabolic reconstruction', which is the most comprehensive representation of human metabolism that is applicable to computational modeling. Compared with its predecessors, the reconstruction has improved topological and functional features, including ~2× more reactions and ~1.7× more unique metabolites. Using Recon 2 we predicted changes in metabolite biomarkers for 49 inborn errors of metabolism with 77% accuracy when compared to experimental data. Mapping metabolomic data and drug information onto Recon 2 demonstrates its potential for integrating and analyzing diverse data types. Using protein expression data, we automatically generated a compendium of 65 cell type–specific models, providing a basis for manual curation or investigation of cell-specific metabolic properties. Recon 2 will facilitate many future biomedical studies and is freely available at http://humanmetabolism.org/.
1,002 citations
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Charité1, University College London2, University of Oxford3, University of Toronto4, St George's, University of London5, National Institutes of Health6, Beth Israel Deaconess Medical Center7, University of Virginia Health System8, University of Pittsburgh9, Baker IDI Heart and Diabetes Institute10, University of Alberta11, Karolinska University Hospital12, University of Lausanne13
TL;DR: This document provides a summary of the existing evidence for the clinical value of parametric mapping in the heart as of mid 2017, and gives recommendations for practical use in different clinical scenarios for scientists, clinicians, and CMR manufacturers.
Abstract: Parametric mapping techniques provide a non-invasive tool for quantifying tissue alterations in myocardial disease in those eligible for cardiovascular magnetic resonance (CMR). Parametric mapping with CMR now permits the routine spatial visualization and quantification of changes in myocardial composition based on changes in T1, T2, and T2*(star) relaxation times and extracellular volume (ECV). These changes include specific disease pathways related to mainly intracellular disturbances of the cardiomyocyte (e.g., iron overload, or glycosphingolipid accumulation in Anderson-Fabry disease); extracellular disturbances in the myocardial interstitium (e.g., myocardial fibrosis or cardiac amyloidosis from accumulation of collagen or amyloid proteins, respectively); or both (myocardial edema with increased intracellular and/or extracellular water). Parametric mapping promises improvements in patient care through advances in quantitative diagnostics, inter- and intra-patient comparability, and relatedly improvements in treatment. There is a multitude of technical approaches and potential applications. This document provides a summary of the existing evidence for the clinical value of parametric mapping in the heart as of mid 2017, and gives recommendations for practical use in different clinical scenarios for scientists, clinicians, and CMR manufacturers.
996 citations
Authors
Showing all 30787 results
Name | H-index | Papers | Citations |
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JoAnn E. Manson | 270 | 1819 | 258509 |
Yi Chen | 217 | 4342 | 293080 |
David J. Hunter | 213 | 1836 | 207050 |
Raymond J. Dolan | 196 | 919 | 138540 |
John P. A. Ioannidis | 185 | 1311 | 193612 |
Stefan Schreiber | 178 | 1233 | 138528 |
Kenneth C. Anderson | 178 | 1138 | 126072 |
Eric J. Nestler | 178 | 748 | 116947 |
Klaus Rajewsky | 154 | 504 | 88793 |
Charles B. Nemeroff | 149 | 979 | 90426 |
Andreas Pfeiffer | 149 | 1756 | 131080 |
Rinaldo Bellomo | 147 | 1714 | 120052 |
Jean Bousquet | 145 | 1288 | 96769 |
Christopher Hill | 144 | 1562 | 128098 |
Holger J. Schünemann | 141 | 810 | 113169 |