Institution
University of British Columbia
Education•Vancouver, British Columbia, Canada•
About: University of British Columbia is a education organization based out in Vancouver, British Columbia, Canada. It is known for research contribution in the topics: Population & Health care. The organization has 89939 authors who have published 209679 publications receiving 9226862 citations. The organization is also known as: UBC & The University of British Columbia.
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TL;DR: The JASPAR CORE collection was expanded with 494 new TF binding profiles, and 130 transcription factor flexible models trained on ChIP-seq data for vertebrates, which capture dinucleotide dependencies within TF binding sites were introduced.
Abstract: JASPAR (http://jaspar.genereg.net) is an open-access database storing curated, non-redundant transcription factor (TF) binding profiles representing transcription factor binding preferences as position frequency matrices for multiple species in six taxonomic groups. For this 2016 release, we expanded the JASPAR CORE collection with 494 new TF binding profiles (315 in vertebrates, 11 in nematodes, 3 in insects, 1 in fungi and 164 in plants) and updated 59 profiles (58 in vertebrates and 1 in fungi). The introduced profiles represent an 83% expansion and 10% update when compared to the previous release. We updated the structural annotation of the TF DNA binding domains (DBDs) following a published hierarchical structural classification. In addition, we introduced 130 transcription factor flexible models trained on ChIP-seq data for vertebrates, which capture dinucleotide dependencies within TF binding sites. This new JASPAR release is accompanied by a new web tool to infer JASPAR TF binding profiles recognized by a given TF protein sequence. Moreover, we provide the users with a Ruby module complementing the JASPAR API to ease programmatic access and use of the JASPAR collection of profiles. Finally, we provide the JASPAR2016 R/Bioconductor data package with the data of this release.
1,097 citations
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TL;DR: The use of sedatives and hypnotics, antidepressants, and benzodiazepines demonstrated a significant association with falls in elderly individuals, and Bayesian odds ratios were updated.
Abstract: Background: There is increasing recognition that the use of certain medications contributes to falls in seniors. Our objective was to update a previously completed meta-analysis looking at the association of medication use and falling to include relevant drug classes and new studies that have been completed since a previous meta-analysis. Methods: Studies were identified through a systematic search of English-language articles published from 1996 to 2007. We identified studies that were completed on patients older than 60 years, looking at the association between medication use and falling. Bayesian methods allowed us to combine the results of a previous metaanalysis with new information to estimate updated Bayesian odds ratios (ORs) and 95% credible intervals (95% CrIs) Results: Of 11 118 identified articles, 22 met our inclusion criteria. Meta-analyses were completed on 9 unique drug classes, including 79 081 participants, with the following Bayesian unadjusted OR estimates: antihypertensive agents, OR, 1.24 (95% CrI, 1.01-1.50); diuretics, OR, 1.07 (95% CrI, 1.01-1.14); -blockers, OR, 1.01 (95% CrI, 0.86-1.17); sedatives and hypnotics, OR, 1.47 (95% CrI, 1.35-1.62); neuroleptics and antipsychotics, OR, 1.59 (95% CrI, 1.37-1.83); antidepressants, OR, 1.68 (95% CrI, 1.47-1.91); benzodiazepines, OR, 1.57 (95% CrI, 1.431.72); narcotics, OR, 0.96 (95% CrI, 0.78-1.18); and nonsteroidal anti-inflammatory drugs, OR, 1.21 (95% CrI, 1.01-1.44). The updated Bayesian adjusted OR estimates for diuretics, neuroleptics and antipsychotics, antidepressants, and benzodiazepines were 0.99 (95% CrI, 0.78-1.25), 1.39 (95% CrI, 0.94-2.00), 1.36 (95% CrI, 1.13-1.76), and 1.41 (95% CrI, 1.20-1.71), respectively. Stratification of studies had little effect on Bayesian OR estimates, with only small differences in the stratified ORs observed across population (for -blockers and neuroleptics and antipsychotics) and study type (for sedatives and hypnotics, benzodiazepines, and narcotics). An increased likelihood of falling was estimated for the use of sedatives and hypnotics, neuroleptics and antipsychotics, antidepressants, benzodiazepines, and nonsteroidal anti-inflammatory drugs in studies considered to have “good” medication and falls ascertainment. Conclusion: The use of sedatives and hypnotics, antidepressants, and benzodiazepines demonstrated a significant association with falls in elderly individuals.
1,096 citations
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TL;DR: In hypoxia-tolerant animals, metabolic arrest and stabilized membrane functions are the most effective strategies for extending tolerance to Hypoxia through a number of biochemical and physiological mechanisms.
Abstract: Because aerobic metabolic rates decrease in hypoxia-sensitive cells under oxygen-limiting conditions, the demand for glucose or glycogen for anaerobic glycolysis may rise drastically as a means of making up for the energetic shortfall. However, ion and electrical potentials typically cannot be sustained because of energy insufficiency and high membrane permeabilities; therefore metabolic and membrane functions in effect become decoupled. In hypoxia-tolerant animals, these problems are resolved through a number of biochemical and physiological mechanisms; of these metabolic arrest and stabilized membrane functions are the most effective strategies for extending tolerance to hypoxia. Metabolic arrest is achieved by means of a reversed or negative Pasteur effect (reduced or unchanging glycolytic flux at reduced O2 availability); and coupling of metabolic and membrane function is achievable, in spite of the lower energy turnover rates, by maintaining membranes of low permeability (probably via reduced densities of ion-specific channels). The possibility of combining metabolic arrest with channel arrest has been recognized as an intervention strategy. To date, the success of this strategy has been minimal, mainly because depression of metabolism through cold is the usual arrest mechanism used, and hypothermia in itself perturbs controlled cell function in most endotherms.
1,094 citations
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TL;DR: In this paper, the diagnostic performance of noninvasive fractional flow reserve (FFR) derived from standard acquired coronary computed tomography angiography (CTA) datasets for the diagnosis of myocardial ischemia in patients with suspected stable coronary artery disease (CAD) was evaluated.
1,094 citations
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TL;DR: The meaning maintenance model proposes that people have a need to perceive events through a prism of mental representations of expected relations that organizes their perceptions of the world, and that when people's sense of meaning is threatened, they reaffirm alternative representations as a way to regain meaning-a process termed fluid compensation.
Abstract: The meaning maintenance model (MMM) proposes that people have a need for meaning; that is, a need to perceive events through a prism of mental representations of expected relations that organizes their perceptions of the world. When people's sense of meaning is threatened, they reaffirm alternative representations as a way to regain meaning-a process termed fluid compensation. According to the model, people can reaffirm meaning in domains that are different from the domain in which the threat occurred. Evidence for fluid compensation can be observed following a variety of psychological threats, including most especially threats to the self, such as self-esteem threats, feelings of uncertainty, interpersonal rejection, and mortality salience. People respond to these diverse threats in highly similar ways, which suggests that a range of psychological motivations are expressions of a singular impulse to generate and maintain a sense of meaning.
1,093 citations
Authors
Showing all 90682 results
Name | H-index | Papers | Citations |
---|---|---|---|
Gordon H. Guyatt | 231 | 1620 | 228631 |
John C. Morris | 183 | 1441 | 168413 |
Douglas Scott | 178 | 1111 | 185229 |
John R. Yates | 177 | 1036 | 129029 |
Deborah J. Cook | 173 | 907 | 148928 |
Richard A. Gibbs | 172 | 889 | 249708 |
Evan E. Eichler | 170 | 567 | 150409 |
James F. Sallis | 169 | 825 | 144836 |
Michael Snyder | 169 | 840 | 130225 |
Jiawei Han | 168 | 1233 | 143427 |
Michael Kramer | 167 | 1713 | 127224 |
Bruce L. Miller | 163 | 1153 | 115975 |
Peter A. R. Ade | 162 | 1387 | 138051 |
Marc W. Kirschner | 162 | 457 | 102145 |
Kaj Blennow | 160 | 1845 | 116237 |