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
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University of Birmingham1, University of Texas Health Science Center at San Antonio2, The Forsyth Institute3, University of Adelaide4, Charité5, Goethe University Frankfurt6, University of Alabama at Birmingham7, University at Buffalo8, University of Toronto9, Hadassah Medical Center10, Tufts University11, University of Copenhagen12, University of Iowa13, University of California, San Francisco14, University of Bern15, University of Giessen16, Osaka University17, Texas A&M University18, University of São Paulo19, Ohio State University20, Katholieke Universiteit Leuven21, University of Ferrara22, University of Basel23, University of Graz24, Niigata University25
TL;DR: While gingival health and gingivitis have many clinical features, case definitions are primarily predicated on presence or absence of bleeding on probing, which creates differences in the way in which a "case" of gedival health or gingIVitis is defined for clinical practice as opposed to epidemiologically in population prevalence surveys.
Abstract: Periodontal health is defined by absence of clinically detectable inflammation. There is a biological level of immune surveillance that is consistent with clinical gingival health and homeostasis. Clinical gingival health may be found in a periodontium that is intact, i.e. without clinical attachment loss or bone loss, and on a reduced periodontium in either a non-periodontitis patient (e.g. in patients with some form of gingival recession or following crown lengthening surgery) or in a patient with a history of periodontitis who is currently periodontally stable. Clinical gingival health can be restored following treatment of gingivitis and periodontitis. However, the treated and stable periodontitis patient with current gingival health remains at increased risk of recurrent periodontitis, and accordingly, must be closely monitored. Two broad categories of gingival diseases include non-dental plaque biofilm-induced gingival diseases and dental plaque-induced gingivitis. Non-dental plaque biofilm-induced gingival diseases include a variety of conditions that are not caused by plaque and usually do not resolve following plaque removal. Such lesions may be manifestations of a systemic condition or may be localized to the oral cavity. Dental plaque-induced gingivitis has a variety of clinical signs and symptoms, and both local predisposing factors and systemic modifying factors can affect its extent, severity, and progression. Dental plaque-induced gingivitis may arise on an intact periodontium or on a reduced periodontium in either a non-periodontitis patient or in a currently stable "periodontitis patient" i.e. successfully treated, in whom clinical inflammation has been eliminated (or substantially reduced). A periodontitis patient with gingival inflammation remains a periodontitis patient (Figure 1), and comprehensive risk assessment and management are imperative to ensure early prevention and/or treatment of recurrent/progressive periodontitis. Precision dental medicine defines a patient-centered approach to care, and therefore, creates differences in the way in which a "case" of gingival health or gingivitis is defined for clinical practice as opposed to epidemiologically in population prevalence surveys. Thus, case definitions of gingival health and gingivitis are presented for both purposes. While gingival health and gingivitis have many clinical features, case definitions are primarily predicated on presence or absence of bleeding on probing. Here we classify gingival health and gingival diseases/conditions, along with a summary table of diagnostic features for defining health and gingivitis in various clinical situations.
573 citations
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TL;DR: A one-stop data warehouse that integrates drug-related information about medical indication areas, adverse drug effects, drug metabolization, pathways and Gene Ontology terms of the target proteins and provides tools for 2D drug screening and sequence comparison of the targets.
Abstract: The molecular basis of drug action is often not well understood. This is partly because the very abundant and diverse information generated in the past decades on drugs is hidden in millions of medical articles or textbooks. Therefore, we developed a one-stop data warehouse, SuperTarget that integrates drug-related information about medical indication areas, adverse drug effects, drug metabolization, pathways and Gene Ontology terms of the target proteins. An easy-to-use query interface enables the user to pose complex queries, for example to find drugs that target a certain pathway, interacting drugs that are metabolized by the same cytochrome P450 or drugs that target the same protein but are metabolized by different enzymes. Furthermore, we provide tools for 2D drug screening and sequence comparison of the targets. The database contains more than 2500 target proteins, which are annotated with about 7300 relations to 1500 drugs; the vast majority of entries have pointers to the respective literature source. A subset of these drugs has been annotated with additional binding information and indirect interactions and is available as a separate resource called Matador. SuperTarget and Matador are available at http://insilico.charite.de/supertarget and http://matador.embl.de
572 citations
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Leibniz Association1, Charité2, Yale University3, University of Hamburg4, Cedars-Sinai Medical Center5, University of California, Los Angeles6, University of North Carolina at Chapel Hill7, VU University Amsterdam8, University of Tokyo9, Harvard University10, LSU Health Sciences Center New Orleans11, University of California, San Francisco12, Howard Hughes Medical Institute13
TL;DR: It is shown that pro-inflammatory TH17 cells can be redirected to and controlled in the small intestine, and mechanisms limiting TH17 cell pathogenicity are identified and implicate the gastrointestinal tract as a site for control of TH 17 cells.
Abstract: Interleukin (IL)-17-producing T helper cells (T(H)17) are a recently identified CD4(+) T cell subset distinct from T helper type 1 (T(H)1) and T helper type 2 (T(H)2) cells. T(H)17 cells can drive antigen-specific autoimmune diseases and are considered the main population of pathogenic T cells driving experimental autoimmune encephalomyelitis (EAE), the mouse model for multiple sclerosis. The factors that are needed for the generation of T(H)17 cells have been well characterized. However, where and how the immune system controls T(H)17 cells in vivo remains unclear. Here, by using a model of tolerance induced by CD3-specific antibody, a model of sepsis and influenza A viral infection (H1N1), we show that pro-inflammatory T(H)17 cells can be redirected to and controlled in the small intestine. T(H)17-specific IL-17A secretion induced expression of the chemokine CCL20 in the small intestine, facilitating the migration of these cells specifically to the small intestine via the CCR6/CCL20 axis. Moreover, we found that T(H)17 cells are controlled by two different mechanisms in the small intestine: first, they are eliminated via the intestinal lumen; second, pro-inflammatory T(H)17 cells simultaneously acquire a regulatory phenotype with in vitro and in vivo immune-suppressive properties (rT(H)17). These results identify mechanisms limiting T(H)17 cell pathogenicity and implicate the gastrointestinal tract as a site for control of T(H)17 cells.
572 citations
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Saint Louis University1, University of Barcelona2, Research Triangle Park3, Boston Medical Center4, Northwestern University5, University of Arkansas for Medical Sciences6, Charité7, University of Edinburgh8, National Institutes of Health9, University of California, Berkeley10, UCLA Medical Center11, Innsbruck Medical University12, McGill University13, University of California, San Francisco14, Sapienza University of Rome15, Wrocław Medical University16, Maastricht University Medical Centre17, NewYork–Presbyterian Hospital18
TL;DR: The Society for Sarcopenia, Cachexia, and Wasting Disease convened an expert panel to develop nutritional recommendations for prevention and management of sarcopenia.
570 citations
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TL;DR: The LSC17 score provides clinicians with a rapid and powerful tool to identify AML patients who do not benefit from standard therapy and who should be enrolled in trials evaluating novel upfront or post-remission strategies.
Abstract: Refractoriness to induction chemotherapy and relapse after achievement of remission are the main obstacles to cure in acute myeloid leukaemia (AML). After standard induction chemotherapy, patients are assigned to different post-remission strategies on the basis of cytogenetic and molecular abnormalities that broadly define adverse, intermediate and favourable risk categories. However, some patients do not respond to induction therapy and another subset will eventually relapse despite the lack of adverse risk factors. There is an urgent need for better biomarkers to identify these high-risk patients before starting induction chemotherapy, to enable testing of alternative induction strategies in clinical trials. The high rate of relapse in AML has been attributed to the persistence of leukaemia stem cells (LSCs), which possess a number of stem cell properties, including quiescence, that are linked to therapy resistance. Here, to develop predictive and/or prognostic biomarkers related to stemness, we generated a list of genes that are differentially expressed between 138 LSC+ and 89 LSC- cell fractions from 78 AML patients validated by xenotransplantation. To extract the core transcriptional components of stemness relevant to clinical outcomes, we performed sparse regression analysis of LSC gene expression against survival in a large training cohort, generating a 17-gene LSC score (LSC17). The LSC17 score was highly prognostic in five independent cohorts comprising patients of diverse AML subtypes (n = 908) and contributed greatly to accurate prediction of initial therapy resistance. Patients with high LSC17 scores had poor outcomes with current treatments including allogeneic stem cell transplantation. The LSC17 score provides clinicians with a rapid and powerful tool to identify AML patients who do not benefit from standard therapy and who should be enrolled in trials evaluating novel upfront or post-remission strategies.
570 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 |