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Institution

Novartis

CompanyBasel, Switzerland
About: Novartis is a company organization based out in Basel, Switzerland. It is known for research contribution in the topics: Alkyl & Population. The organization has 41930 authors who have published 50566 publications receiving 1978996 citations. The organization is also known as: Novartis International AG.
Topics: Alkyl, Population, Alkoxy group, Receptor, Cancer


Papers
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Journal ArticleDOI
TL;DR: Positive modulation of the GABAB receptors may serve as a novel therapeutic strategy for the development of anxiolytics, whereas GABAB receptor antagonism may service as a basis for the generation of novel antidepressants.

340 citations

Journal ArticleDOI
TL;DR: Interleukin (IL)‐17A is believed to be an important effector cytokine in the pathogenesis of psoriasis and is produced by Th17 cells, a class of helper T cells that act outside the established Th1/Th2 paradigm for regulation of innate and adaptive immunity.
Abstract: Summary Background Conventional systemic therapies for plaque psoriasis have not fully met the needs of patients, and although current biologic treatments are generally well tolerated, concerns exist with respect to long-term safety. Interleukin (IL)-17A is believed to be an important effector cytokine in the pathogenesis of psoriasis and is produced by Th17 cells, a class of helper T cells that act outside the established Th1/Th2 paradigm for regulation of innate and adaptive immunity. Objectives To assess the efficacy and safety of different doses of secukinumab, a fully human anti-IL-17A IgG1κ monoclonal antibody, in patients with moderate-to-severe plaque psoriasis. Methods Patients (n = 125) were randomized 1 : 1 : 1 : 1 : 1 to receive subcutaneous doses of placebo (n = 22) or secukinumab [1 × 25 mg (n = 29), 3 × 25 mg (n = 26), 3 × 75 mg (n = 21) or 3 × 150 mg (n = 27)] at weeks 0, 4 and 8. After the 12-week treatment period, patients entered a follow-up period of 24 weeks. The primary efficacy outcome was at least 75% improvement from baseline in the Psoriasis Area and Severity Index score (PASI 75); secondary outcomes included the Investigator’s Global Assessment (IGA) and PASI 90 and 50 response rates. Results After 12 weeks of treatment, secukinumab 3 × 150 mg and 3 × 75 mg resulted in significantly higher PASI 75 response rates vs. placebo (82% and 57% vs. 9%; P < 0·001 and P = 0·002, respectively). Higher PASI 75 response rates compared with placebo were maintained throughout the follow-up period with these dosages [week 36, 26% (n = 7) and 19% (n = 4) vs. 4% (n = 1), respectively], with a gradual decline of PASI 75 response over time after the dosing period. IGA response rates were significantly higher in the 3 × 150 mg group vs. placebo at week 12 (48% vs. 9%; P = 0·005) and were consistently higher for the 3 × 150 mg and 3 × 75 mg groups vs. placebo at all time points from week 4 onward. The PASI 90 response rate was significantly higher in the 3 × 150 mg group vs. placebo (52% vs. 5%) at week 12 and remained higher during the follow-up period. Secukinumab was well tolerated. Two cases of neutropenia (≤ grade 2) were reported in the 3 × 150 mg cohort. Conclusions Treatment with subcutaneous secukinumab 3 × 75 mg and 3 × 150 mg met the primary outcome of PASI 75 response achievement after 12 weeks, demonstrating efficacy in moderate-to-severe psoriasis.

340 citations

Journal ArticleDOI
TL;DR: Factor analysis is introduced as a data-driven tool for defining cell phenotypes and profiling compound activities, and the data-derived factors used to quantify phenotype have discernable biological meaning.
Abstract: High-content screening is transforming drug discovery by enabling simultaneous measurement of multiple features of cellular phenotype that are relevant to therapeutic and toxic activities of compounds. High-content screening studies typically generate immense datasets of image-based phenotypic information, and how best to mine relevant phenotypic data is an unsolved challenge. Here, we introduce factor analysis as a data-driven tool for defining cell phenotypes and profiling compound activities. This method allows a large data reduction while retaining relevant information, and the data-derived factors used to quantify phenotype have discernable biological meaning. We used factor analysis of cells stained with fluorescent markers of cell cycle state to profile a compound library and cluster the hits into seven phenotypic categories. We then compared phenotypic profiles, chemical similarity and predicted protein binding activities of active compounds. By integrating these different descriptors of measured and potential biological activity, we can effectively draw mechanism-of-action inferences.

339 citations

Journal ArticleDOI
TL;DR: A simple iterative graphical approach to construct and perform Bonferroni-type tests, represented by directed, weighted graphs, where each node corresponds to an elementary hypothesis, together with a simple algorithm to generate such graphs while sequentially testing the individual hypotheses.
Abstract: For clinical trials with multiple treatment arms or endpoints a variety of sequentially rejective, weighted Bonferroni-type tests have been proposed, such as gatekeeping procedures, fixed sequence tests, and fallback procedures. They allow to map the difference in importance as well as the relationship between the various research questions onto an adequate multiple test procedure. Since these procedures rely on the closed test principle, they usually require the explicit specification of a large number of intersection hypotheses tests. The underlying test strategy may therefore be difficult to communicate. We propose a simple iterative graphical approach to construct and perform such Bonferroni-type tests. The resulting multiple test procedures are represented by directed, weighted graphs, where each node corresponds to an elementary hypothesis, together with a simple algorithm to generate such graphs while sequentially testing the individual hypotheses. The approach is illustrated with the visualization of several common gatekeeping strategies. A case study is used to illustrate how the methods from this article can be used to tailor a multiple test procedure to given study objectives.

339 citations

Journal ArticleDOI
12 May 2011-Nature
TL;DR: A novel role for Notch signalling is identified during early haematopoietic stem cell differentiation and it is suggested that the Notch pathway can play both tumour-promoting and -suppressive roles within the same tissue.
Abstract: Notch signalling is a central regulator of differentiation in a variety of organisms and tissue types. Its activity is controlled by the multi-subunit γ-secretase (γSE) complex. Although Notch signalling can play both oncogenic and tumour-suppressor roles in solid tumours, in the haematopoietic system it is exclusively oncogenic, notably in T-cell acute lymphoblastic leukaemia, a disease characterized by Notch1-activating mutations. Here we identify novel somatic-inactivating Notch pathway mutations in a fraction of patients with chronic myelomonocytic leukaemia (CMML). Inactivation of Notch signalling in mouse haematopoietic stem cells (HSCs) results in an aberrant accumulation of granulocyte/monocyte progenitors (GMPs), extramedullary haematopoieisis and the induction of CMML-like disease. Transcriptome analysis revealed that Notch signalling regulates an extensive myelomonocytic-specific gene signature, through the direct suppression of gene transcription by the Notch target Hes1. Our studies identify a novel role for Notch signalling during early haematopoietic stem cell differentiation and suggest that the Notch pathway can play both tumour-promoting and -suppressive roles within the same tissue.

339 citations


Authors

Showing all 41972 results

NameH-indexPapersCitations
Irving L. Weissman2011141172504
Peter J. Barnes1941530166618
Paul G. Richardson1831533155912
Kenneth C. Anderson1781138126072
Jie Zhang1784857221720
Lei Jiang1702244135205
Marc A. Pfeffer166765133043
Jorge E. Cortes1632784124154
Ian A. Wilson15897198221
Peter G. Schultz15689389716
Bruce D. Walker15577986020
Timothy P. Hughes14583191357
Kurt Wüthrich143739103253
Leonard Guarente14335280169
Christopher D.M. Fletcher13867482484
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202318
202285
20211,321
20201,377
20191,376
20181,456