Institution
University of Colorado Denver
Education•Denver, Colorado, United States•
About: University of Colorado Denver is a education organization based out in Denver, Colorado, United States. It is known for research contribution in the topics: Population & Health care. The organization has 27444 authors who have published 57213 publications receiving 2539937 citations. The organization is also known as: CU Denver & UCD.
Topics: Population, Health care, Poison control, Medicine, Diabetes mellitus
Papers published on a yearly basis
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748 citations
TL;DR: New ideas on mechanisms that regulate PKC activity, including the identification of a novel PKC kinase, 3-phosphoinositide-dependent kinase-1 (PDK-1), that regulates phosphorylation of PKC, have been advanced and opposing roles for selected isozymes in the same cell system have been defined.
Abstract: Individual protein kinase C (PKC) isozymes have been implicated in many cellular responses important in lung health and disease, including permeability, contraction, migration, hypertrophy, proliferation, apoptosis, and secretion. New ideas on mechanisms that regulate PKC activity, including the identification of a novel PKC kinase, 3-phosphoinositide-dependent kinase-1 (PDK-1), that regulates phosphorylation of PKC, have been advanced. The importance of targeted translocation of PKC and isozyme-specific binding proteins (like receptors for activated C-kinase and caveolins) is well established. Phosphorylation state and localization are now thought to be key determinants of isozyme activity and specificity. New concepts on the role of individual PKC isozymes in proliferation and apoptosis are emerging. Opposing roles for selected isozymes in the same cell system have been defined. Coupling to the Wnt signaling pathway has been described. Phenotypes for PKC knockout mice have recently been reported. More specific approaches for studying PKC isozymes and their role in cell responses have been developed. Strengths and weaknesses of different experimental strategies are reviewed. Future directions for investigation are identified.
741 citations
University of Toronto1, University of Düsseldorf2, German Cancer Research Center3, University of Pittsburgh4, Ontario Institute for Cancer Research5, Seoul National University6, University of Warsaw7, University of Lyon8, Mayo Clinic9, The Chinese University of Hong Kong10, Johns Hopkins University11, University of Alabama at Birmingham12, University of Washington13, Fred Hutchinson Cancer Research Center14, University of California, San Francisco15, McMaster University16, Hamilton Health Sciences17, Vanderbilt University18, University of Colorado Denver19, Semmelweis University20, Erasmus University Rotterdam21, University of Ulsan22, Kitasato University23, Mexican Social Security Institute24, Masaryk University25, Emory University26, University of Debrecen27, University of Naples Federico II28, Washington University in St. Louis29, McGill University30, Montreal Children's Hospital31, Virginia Commonwealth University32, Chonnam National University33, University of Queensland34, University of Calgary35, University of São Paulo36, University of Cincinnati37, University of Arkansas for Medical Sciences38, The Catholic University of America39, University of California, Los Angeles40, University of Sydney41, Kumamoto University42, Saint Louis University43, Case Western Reserve University44
TL;DR: Similarity network fusion (SNF) applied to genome-wide DNA methylation and gene expression data across 763 primary samples identifies very homogeneous clusters of patients, supporting the presence of medulloblastoma subtypes.
737 citations
TL;DR: To estimate medical expenditures attributable to older adult falls using a methodology that can be updated annually to track these expenditures over time, a database of hospital admissions and accident and emergency department visits is constructed.
Abstract: Objectives
To estimate medical expenditures attributable to older adult falls using a methodology that can be updated annually to track these expenditures over time.
Design
Population data from the National Vital Statistics System (NVSS) and cost estimates from the Web-based Injury Statistics Query and Reporting System (WISQARS) for fatal falls, quasi-experimental regression analysis of data from the Medicare Current Beneficiaries Survey (MCBS) for nonfatal falls.
Setting
U.S. population aged 65 and older during 2015.
Participants
Fatal falls from the 2015 NVSS (N=28,486); respondents to the 2011 MCBS (N=3,460).
Measurements
Total spending attributable to older adult falls in the United States in 2015, in dollars.
Results
In 2015, the estimated medical costs attributable to fatal and nonfatal falls was approximately $50.0 billion. For nonfatal falls, Medicare paid approximately $28.9 billion, Medicaid $8.7 billion, and private and other payers $12.0 billion. Overall medical spending for fatal falls was estimated to be $754 million.
Conclusion
Older adult falls result in substantial medical costs. Measuring medical costs attributable to falls will provide vital information about the magnitude of the problem and the potential financial effect of effective prevention strategies.
735 citations
TL;DR: The dysregulation of Nrf2-regulated genes provides a logical explanation for the connections between observable oxidative stress and perhaps 200 human diseases involving these various physiological processes, each reflecting a network involving many gene products.
735 citations
Authors
Showing all 27683 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Matthew Meyerson | 194 | 553 | 243726 |
| Charles A. Dinarello | 190 | 1058 | 139668 |
| Gad Getz | 189 | 520 | 247560 |
| Gordon B. Mills | 187 | 1273 | 186451 |
| Jasvinder A. Singh | 176 | 2382 | 223370 |
| David Haussler | 172 | 488 | 224960 |
| Donald G. Truhlar | 165 | 1518 | 157965 |
| Charles M. Perou | 156 | 573 | 202951 |
| David Cella | 156 | 1258 | 106402 |
| Bruce D. Walker | 155 | 779 | 86020 |
| Marco A. Marra | 153 | 620 | 184684 |
| Thomas E. Starzl | 150 | 1625 | 91704 |
| Marc Humbert | 149 | 1184 | 100577 |
| Rajesh Kumar | 149 | 4439 | 140830 |
| Martin J. Blaser | 147 | 820 | 104104 |