Institution
Eli Lilly and Company
Company•Indianapolis, Indiana, United States•
About: Eli Lilly and Company is a company organization based out in Indianapolis, Indiana, United States. It is known for research contribution in the topics: Population & Agonist. The organization has 17826 authors who have published 22835 publications receiving 946714 citations. The organization is also known as: Eli Lily.
Topics: Population, Agonist, Insulin, Placebo, Olanzapine
Papers published on a yearly basis
Papers
More filters
••
University of Nebraska Medical Center1, University of Texas Health Science Center at San Antonio2, Emory University3, National Institutes of Health4, Duke University5, University of California, Irvine6, University of Minnesota7, Cedars-Sinai Medical Center8, University of Florida9, Parkland Health & Hospital System10, University of California, San Diego11, Baylor College of Medicine12, University of Rochester13, Tan Tock Seng Hospital14, Scott & White Hospital15, University of California, San Francisco16, University of California, Davis17, University of Massachusetts Medical School18, University of Virginia19, Northwestern University20, Pennsylvania State University21, Providence Sacred Heart Medical Center and Children's Hospital22, University of Alabama at Birmingham23, Stanford University24, Denver Health Medical Center25, Seoul National University26, Changi General Hospital27, Kaiser Permanente28, Uniformed Services University of the Health Sciences29, Eli Lilly and Company30
TL;DR: Baricitinib plus remdesivir was superior to remdes Vivir alone in reducing recovery time and accelerating improvement in clinical status among patients with Covid-19, notably among those receiving high-flow oxygen or noninvasive ventilation.
Abstract: Background Severe coronavirus disease 2019 (Covid-19) is associated with dysregulated inflammation. The effects of combination treatment with baricitinib, a Janus kinase inhibitor, plus remdesivir are not known. Methods We conducted a double-blind, randomized, placebo-controlled trial evaluating baricitinib plus remdesivir in hospitalized adults with Covid-19. All the patients received remdesivir (≤10 days) and either baricitinib (≤14 days) or placebo (control). The primary outcome was the time to recovery. The key secondary outcome was clinical status at day 15. Results A total of 1033 patients underwent randomization (with 515 assigned to combination treatment and 518 to control). Patients receiving baricitinib had a median time to recovery of 7 days (95% confidence interval [CI], 6 to 8), as compared with 8 days (95% CI, 7 to 9) with control (rate ratio for recovery, 1.16; 95% CI, 1.01 to 1.32; P = 0.03), and a 30% higher odds of improvement in clinical status at day 15 (odds ratio, 1.3; 95% CI, 1.0 to 1.6). Patients receiving high-flow oxygen or noninvasive ventilation at enrollment had a time to recovery of 10 days with combination treatment and 18 days with control (rate ratio for recovery, 1.51; 95% CI, 1.10 to 2.08). The 28-day mortality was 5.1% in the combination group and 7.8% in the control group (hazard ratio for death, 0.65; 95% CI, 0.39 to 1.09). Serious adverse events were less frequent in the combination group than in the control group (16.0% vs. 21.0%; difference, -5.0 percentage points; 95% CI, -9.8 to -0.3; P = 0.03), as were new infections (5.9% vs. 11.2%; difference, -5.3 percentage points; 95% CI, -8.7 to -1.9; P = 0.003). Conclusions Baricitinib plus remdesivir was superior to remdesivir alone in reducing recovery time and accelerating improvement in clinical status among patients with Covid-19, notably among those receiving high-flow oxygen or noninvasive ventilation. The combination was associated with fewer serious adverse events. (Funded by the National Institute of Allergy and Infectious Diseases; ClinicalTrials.gov number, NCT04401579.).
1,301 citations
••
TL;DR: It is shown here that fibroblast growth factor 21 (FGF21) plays a physiologic role in this thermogenic recruitment of WATs and acts to activate and expand the thermogenic machinery in vivo to provide a robust defense against hypothermia.
Abstract: Certain white adipose tissue (WAT) depots are readily able to convert to a "brown-like" state with prolonged cold exposure or exposure to β-adrenergic compounds. This process is characterized by the appearance of pockets of uncoupling protein 1 (UCP1)-positive, multilocular adipocytes and serves to increase the thermogenic capacity of the organism. We show here that fibroblast growth factor 21 (FGF21) plays a physiologic role in this thermogenic recruitment of WATs. In fact, mice deficient in FGF21 display an impaired ability to adapt to chronic cold exposure, with diminished browning of WAT. Adipose-derived FGF21 acts in an autocrine/paracrine manner to increase expression of UCP1 and other thermogenic genes in fat tissues. FGF21 regulates this process, at least in part, by enhancing adipose tissue PGC-1α protein levels independently of mRNA expression. We conclude that FGF21 acts to activate and expand the thermogenic machinery in vivo to provide a robust defense against hypothermia.
1,263 citations
••
Cardiff University1, Harvard University2, Charité3, King's College London4, Broad Institute5, University of Adelaide6, Centre for Mental Health7, University of Queensland8, University of Münster9, University of Edinburgh10, QIMR Berghofer Medical Research Institute11, University of Vigo12, University of California, Los Angeles13, Icahn School of Medicine at Mount Sinai14, University of Oviedo15, Lundbeck16, Aarhus University17, Oslo University Hospital18, University of Oslo19, Statens Serum Institut20, University of Bergen21, Aarhus University Hospital22, University of Copenhagen23, University of Belgrade24, Tbilisi State Medical University25, deCODE genetics26, University of Verona27, Mental Health Services28, Eli Lilly and Company29, Martin Luther University of Halle-Wittenberg30, Ludwig Maximilian University of Munich31
TL;DR: A new genome-wide association study of schizophrenia is reported, and through meta-analysis with existing data and integrating genomic fine-mapping with brain expression and chromosome conformation data, 50 novel associated loci and 145 loci are identified.
Abstract: Schizophrenia is a debilitating psychiatric condition often associated with poor quality of life and decreased life expectancy. Lack of progress in improving treatment outcomes has been attributed to limited knowledge of the underlying biology, although large-scale genomic studies have begun to provide insights. We report a new genome-wide association study of schizophrenia (11,260 cases and 24,542 controls), and through meta-analysis with existing data we identify 50 novel associated loci and 145 loci in total. Through integrating genomic fine-mapping with brain expression and chromosome conformation data, we identify candidate causal genes within 33 loci. We also show for the first time that the common variant association signal is highly enriched among genes that are under strong selective pressures. These findings provide new insights into the biology and genetic architecture of schizophrenia, highlight the importance of mutation-intolerant genes and suggest a mechanism by which common risk variants persist in the population.
1,259 citations
••
TL;DR: Improved the docking accuracy did not necessarily enhance the ability to estimate binding affinities using the docked structures, and statistical analysis shows that even lower‐accuracy grid‐based energy representations can be effectively used when followed with full force field minimization.
Abstract: The influence of various factors on the accuracy of protein-ligand docking is examined. The factors investigated include the role of a grid representation of protein-ligand interactions, the initial ligand conformation and orientation, the sampling rate of the energy hyper-surface, and the final minimization. A representative docking method is used to study these factors, namely, CDOCKER, a molecular dynamics (MD) simulated-annealing-based algorithm. A major emphasis in these studies is to compare the relative performance and accuracy of various grid-based approximations to explicit all-atom force field calculations. In these docking studies, the protein is kept rigid while the ligands are treated as fully flexible and a final minimization step is used to refine the docked poses. A docking success rate of 74% is observed when an explicit all-atom representation of the protein (full force field) is used, while a lower accuracy of 66-76% is observed for grid-based methods. All docking experiments considered a 41-member protein-ligand validation set. A significant improvement in accuracy (76 vs. 66%) for the grid-based docking is achieved if the explicit all-atom force field is used in a final minimization step to refine the docking poses. Statistical analysis shows that even lower-accuracy grid-based energy representations can be effectively used when followed with full force field minimization. The results of these grid-based protocols are statistically indistinguishable from the detailed atomic dockings and provide up to a sixfold reduction in computation time. For the test case examined here, improving the docking accuracy did not necessarily enhance the ability to estimate binding affinities using the docked structures.
1,241 citations
••
TL;DR: The identification of a somatic mutation in human breast, colorectal and ovarian cancers that results in a glutamic acid to lysine substitution at amino acid 17 (E17K) in the lipid-binding pocket of AKT1 is reported.
Abstract: A recurrent mutation found in the akt1 gene has been identified in breast, ovarian and colorectal tumours The crystal structure of the mutant protein is determined and it is found that the protein displays in increased plasma membrane localization and functions as an oncogene in vitro and in a mouse model for leukaemia
1,203 citations
Authors
Showing all 17866 results
Name | H-index | Papers | Citations |
---|---|---|---|
Mark J. Daly | 204 | 763 | 304452 |
Irving L. Weissman | 201 | 1141 | 172504 |
Eric J. Topol | 193 | 1373 | 151025 |
Tony Hunter | 175 | 593 | 124726 |
Xiang Zhang | 154 | 1733 | 117576 |
Jerrold M. Olefsky | 143 | 595 | 77356 |
Stephen F. Badylak | 133 | 530 | 57083 |
George A. Bray | 131 | 896 | 100975 |
Lloyd Paul Aiello | 131 | 506 | 85550 |
Levi A. Garraway | 129 | 366 | 99989 |
Mark Sullivan | 126 | 802 | 63916 |
James A. Russell | 124 | 1024 | 87929 |
Tony L. Yaksh | 123 | 806 | 60898 |
Elisabetta Dejana | 122 | 430 | 48254 |
Hagop S. Akiskal | 118 | 565 | 50869 |