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Institution

Eli Lilly and Company

CompanyIndianapolis, 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 & Receptor. The organization has 17826 authors who have published 22835 publications receiving 946714 citations. The organization is also known as: Eli Lily.
Topics: Population, Receptor, Placebo, Insulin, Agonist


Papers
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Journal ArticleDOI
07 Jun 2006-Gene
TL;DR: Using the semi-quantitative RT-PCR method, the tissue distribution of four additional human SDF-1 isoforms derived from alternative splicing events are determined and suggest that the novel S DF-1 splice variants encode functional proteins.

230 citations

Journal ArticleDOI
TL;DR: A drug transport model is proposed to account for the “non-ideal” bioconcentration of a variety of organics in fish, where uptake is a nonlinear function of partition coefficient, water solubility and membrane permeability.
Abstract: The accumulation of organic residues in fish is the result of competing rates of uptake and elimination, which can be modeled by pharmacokinetic techniques. Although first-order kinetics are usually assumed, they are rarely verified. Models with biphasic, second-order or Michaelis-Menten kinetics may prove to be better choices, depending on exposure level and mode of elimination. The well-known correlation between bioconcentration factor and partition coefficient (P) derives from separate correlations for the uptake and elimination rate constants with P. While such correlations appear to be linear in the range of log P = 2–5 for organics that are not metabolized, they sometimes fail at higher values of log P. A drug transport model is proposed to account for the “non-ideal” bioconcentration of a variety of organics in fish. According to this model, uptake is a nonlinear function of partition coefficient, water solubility and membrane permeability.

230 citations

Journal ArticleDOI
TL;DR: A review of the relevant literature suggests that protein C levels may serve as a useful prognostic indicator of outcome in sepsis and related diseases.
Abstract: Objective; To consider the appropriateness of protein C levels as a prognostic indicator for sepsis and related diseases. Data Sources/Study Selection: Published research and review articles related to protein C deficiency in patients with sepsis and related diseases. Data Extraction and Synthesis: All applicable data were extracted, and relevant literature was cited to support factual statements in the text. The protein C pathway represents one of the major regulatory systems of hemostasis, exhibiting antithrombotic, profibrinolytic, and anti-inflammatory properties. Numerous studies have shown that acquired protein C deficiency is prevalent in the majority of septic patients (>85%) and is associated with increased morbidity and mortality in patients with severe sepsis and septic shock. This deficiency in protein C is not simply a transient marker for sepsis, but parallels the progress of the disease. In addition, protein C deficiency occurs in the presence of a wide range of pathogens and develops early in the disease process. Conclusions: A review of the relevant literature suggests that protein C levels may serve as a useful prognostic indicator of outcome in sepsis and related diseases.

229 citations

Journal ArticleDOI
TL;DR: FE modeling was used to estimate the biomechanical effects of teriparatide and alendronate on lumbar vertebrae, which enhanced predicted vertebral strength by increasing average density.
Abstract: FE modeling was used to estimate the biomechanical effects of teriparatide and alendronate on lumbar vertebrae. Both treatments enhanced predicted vertebral strength by increasing average density. This effect was more pronounced for teriparatide, which further increased predicted vertebral strength by altering the distribution of density within the vertebra, preferentially increasing the strength of the trabecular compartment. Introduction: Teriparatide 20 μg/day (TPTD) and alendronate 10 mg/day (ALN) increase areal, measured by DXA, and volumetric, measured by QCT, lumbar spine BMD through opposite effects on bone remodeling. Using finite element (FE) modeling of QCT scans, we sought to compare the vertebral strength characteristics in TPTD- and ALN-treated patients. Materials and Methods: A subset of patients (N = 28 TPTD; N = 25 ALN) from the Forteo Alendronate Comparator Trial who had QCT scans of the spine at baseline and postbaseline were analyzed. The QCT scans were analyzed for compressive strength of the L3 vertebra using FE modeling. In addition, using controlled parameter studies of the FE models, the effects of changes in density, density distribution, and geometry on strength were calculated, a strength:density ratio was determined, and a response to bending was also quantified. Results: Both treatments had positive effects on predicted vertebral strength characteristics. At least 75% of the patients in each treatment group had increased strength of the vertebra at 6 months compared with baseline. Patients in both treatment groups had increased average volumetric density and increased strength in the trabecular bone, but the median percentage increases for these parameters were 5- to 12-fold greater for TPTD. Larger increases in the strength:density ratio were also observed for TPTD, and these were primarily attributed to preferential increases in trabecular strength. Conclusions: These results provide new insight into the effects of these treatments on estimated biomechanical properties of the vertebra. Both treatments positively affected predicted vertebral strength through their effects on average BMD, but the magnitudes of the effects were quite different. Teriparatide also affected vertebral strength by altering the distribution of density within the vertebra, so that overall, teriparatide had a 5-fold greater percentage increase in the strength:density ratio.

229 citations

Journal ArticleDOI
TL;DR: Exenatide slows GE substantially in type 2 diabetes, which could be an important mechanism contributing to the beneficial effect of exen atide on postprandial glycemia.

229 citations


Authors

Showing all 17866 results

NameH-indexPapersCitations
Mark J. Daly204763304452
Irving L. Weissman2011141172504
Eric J. Topol1931373151025
Tony Hunter175593124726
Xiang Zhang1541733117576
Jerrold M. Olefsky14359577356
Stephen F. Badylak13353057083
George A. Bray131896100975
Lloyd Paul Aiello13150685550
Levi A. Garraway12936699989
Mark Sullivan12680263916
James A. Russell124102487929
Tony L. Yaksh12380660898
Elisabetta Dejana12243048254
Hagop S. Akiskal11856550869
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20236
202287
2021815
2020868
2019732
2018742