Institution
Wake Forest University
Education•Winston-Salem, North Carolina, United States•
About: Wake Forest University is a education organization based out in Winston-Salem, North Carolina, United States. It is known for research contribution in the topics: Population & Diabetes mellitus. The organization has 21499 authors who have published 48731 publications receiving 2246027 citations. The organization is also known as: Wake Forest College.
Topics: Population, Diabetes mellitus, Cancer, Medicine, Blood pressure
Papers published on a yearly basis
Papers
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TL;DR: The Social Physique Anxiety Scale (SPAS) as mentioned in this paper is a 12-item self-report scale developed to assess the degree to which people become anxious when others observe or evaluate their physiques.
Abstract: A 12-item self-report scale was developed to assess the degree to which people become anxious when others observe or evaluate their physiques. The Social Physique Anxiety Scale (SPAS) demonstrated both high internal and test-retest reliability. It also correlated appropriately with concerns regarding others' evaluations and with feelings about one's body. Validity data showed that women who scored high on the SPAS were heavier and had a higher percentage of body fat than those who scored lower. In addition, high scorers reported significantly greater anxiety during a real evaluation of their physiques, further supporting the validity of the scale. Possible uses of the SPAS in basic research involving physique anxiety and in applied fitness settings are discussed.
825 citations
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TL;DR: In binding to activated and inactivated channels, LAs prevent the conformational changes of activation and antagonize the binding of activator agents that poise channels in activated, open states.
Abstract: Impulse block by LA occurs through the inhibition of voltage-gated Na+ channels. Both protonated and neutral LAs can inhibit Na+ channels though interference with the conformational changes that underly the activation process (the sequence of events that occurs as channels progress from the closed resting state to the open conducting state). The occlusion of open channels contributes little to the overall inhibition. Local anesthetic inhibition of Na+ currents increases with repetitive depolarizations in a process called phasic block. Phasic block represents increased LA binding, either because more channels become accessible during depolarization or because the channel conformations favored by depolarization bind LA with higher affinity. The details of phasic block are dependent on LA chemistry: certain LAs bind and dissociate quite rapidly, others act more slowly; some LAs interact effectively with closed states that occur intermediately between resting and open states, others favor the open channel, and still others have a higher affinity for inactivated states. Channel activation accelerates LA binding, and LAs may bind more tightly to activated and inactivated than to resting channels. In this regard, both the modulated receptor and the guarded receptor hypotheses are valid. In binding to activated and inactivated channels, LAs prevent the conformational changes of activation and antagonize the binding of activator agents that poise channels in activated, open states. These reciprocal actions are one aspect of the concerted conformational rearrangements that occur throughout Na+ channels during gating. The LA binding site may exist in the channel's pore, at the membrane-protein interface, or within the protein subunits of the channel. Judging from its susceptibility to intracellular proteases and its accessibility to LAs with limited membrane permeability (i.e., quaternary LAs in the cytoplasm), the site lies nearer to the cytoplasmic than the external surface of the membrane. Nevertheless, protons in the external medium influence the dissociation of LA from the closed channel. Binding of LAs at the inhibitory site is weak and loose. If one accounts for the membrane-concentrating effects of LA hydrophobicity that are expressed as membrane: buffer partition coefficients equal to 10(2)-10(4), then the apparent LA affinities are low. The equilibrium dissociation constants calculated on the basis of free drug in the membrane are 1-10 mM, with a correspondingly weak binding to the inhibitory LA site. The stereospecificity of LA action is also relatively nonselective, suggesting a loose fit between ligand and binding site.(ABSTRACT TRUNCATED AT 400 WORDS)
822 citations
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University of Maryland, Baltimore1, Washington University in St. Louis2, Johns Hopkins University3, MedStar Washington Hospital Center4, National Institutes of Health5, Boston Children's Hospital6, University of Iceland7, United States Department of Veterans Affairs8, University of Michigan9, Harvard University10, Boston University11, Pacific Biosciences12, University of Washington13, Broad Institute14, Wake Forest University15
TL;DR: In this article, a fixed-effects meta-analysis of genome-wide association (GWA) results between CT hepatic steatosis and 2.4 million imputed or genotyped SNPs in 7,176 individuals from the Old Order Amish, Age, Gene/Environment Susceptibility-Reykjavik study (AGES), Family Heart, and Framingham Heart Studies (n = 880 to 3,070).
Abstract: Nonalcoholic fatty liver disease (NAFLD) clusters in families, but the only known common genetic variants influencing risk are near PNPLA3. We sought to identify additional genetic variants influencing NAFLD using genome-wide association (GWA) analysis of computed tomography (CT) measured hepatic steatosis, a non-invasive measure of NAFLD, in large population based samples. Using variance components methods, we show that CT hepatic steatosis is heritable (,26%– 27%) in family-based Amish, Family Heart, and Framingham Heart Studies (n = 880 to 3,070). By carrying out a fixed-effects meta-analysis of genome-wide association (GWA) results between CT hepatic steatosis and ,2.4 million imputed or genotyped SNPs in 7,176 individuals from the Old Order Amish, Age, Gene/Environment Susceptibility-Reykjavik study (AGES), Family Heart, and Framingham Heart Studies, we identify variants associated at genome-wide significant levels (p,5610 28 ) in or near PNPLA3, NCAN, and PPP1R3B. We genotype these and 42 other top CT hepatic steatosis-associated SNPs in 592 subjects with biopsy-proven NAFLD from the NASH Clinical Research Network (NASH CRN). In comparisons with 1,405 healthy controls from the Myocardial Genetics Consortium (MIGen), we observe significant associations with histologic NAFLD at variants in or near NCAN, GCKR, LYPLAL1, and PNPLA3, but not PPP1R3B. Variants at these five loci exhibit distinct patterns of association with serum lipids, as well as glycemic and anthropometric traits. We identify common genetic variants influencing CT–assessed steatosis and risk of NAFLD. Hepatic steatosis associated variants are not uniformly associated with NASH/fibrosis or result in abnormalities in serum lipids or glycemic and anthropometric traits, suggesting genetic heterogeneity in the pathways influencing these traits.
821 citations
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TL;DR: In many applications, subjective interpretation of PET images is actually superior to the use of quantitative data, and the field has continued to lean heavily toward numbers as the final arbiter of correctness.
Abstract: Quantification has always held a pervasive allure for nuclear medicine. There is a sense that anything that can be quantified should be. Once we have the numbers in hand, there is a mysterious tendency to accord them special value. Why this should be the case is unclear. Perhaps it is because of the functional nature of nuclear medicine studies, which seem as if they should be quantified. Perhaps it is because it is so easy to extract numbers from our studies. Whatever the cause, the phenomenon has been particularly strong in PET, in which we hear at every turn that PET is {open_quotes}quantitative.{close_quotes} DiChiro and Brooks commented on this phenomenon years ago, noting that, in many applications, subjective interpretation of PET images is actually superior to the use of quantitative data. Undaunted, however, the field has continued to lean heavily toward numbers as the final arbiter of correctness. 15 refs., 2 tabs.
818 citations
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Alisa K. Manning1, Alisa K. Manning2, Alisa K. Manning3, Robert A. Scott +240 more•Institutions (69)
TL;DR: Six previously unknown loci associated with fasting insulin at P < 5 × 10−8 in combined discovery and follow-up analyses of 52 studies comprising up to 96,496 non-diabetic individuals are presented.
Abstract: Recent genome-wide association studies have described many loci implicated in type 2 diabetes (T2D) pathophysiology and β-cell dysfunction but have contributed little to the understanding of the genetic basis of insulin resistance. We hypothesized that genes implicated in insulin resistance pathways might be uncovered by accounting for differences in body mass index (BMI) and potential interactions between BMI and genetic variants. We applied a joint meta-analysis approach to test associations with fasting insulin and glucose on a genome-wide scale. We present six previously unknown loci associated with fasting insulin at P < 5 × 10(-8) in combined discovery and follow-up analyses of 52 studies comprising up to 96,496 non-diabetic individuals. Risk variants were associated with higher triglyceride and lower high-density lipoprotein (HDL) cholesterol levels, suggesting a role for these loci in insulin resistance pathways. The discovery of these loci will aid further characterization of the role of insulin resistance in T2D pathophysiology.
811 citations
Authors
Showing all 21721 results
Name | H-index | Papers | Citations |
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Salim Yusuf | 231 | 1439 | 252912 |
Ralph B. D'Agostino | 226 | 1287 | 229636 |
David J. Hunter | 213 | 1836 | 207050 |
Ronald Klein | 194 | 1305 | 149140 |
Luigi Ferrucci | 193 | 1601 | 181199 |
Bruce M. Psaty | 181 | 1205 | 138244 |
Kenneth C. Anderson | 178 | 1138 | 126072 |
Brenda W.J.H. Penninx | 170 | 1139 | 119082 |
Russel J. Reiter | 169 | 1646 | 121010 |
David R. Jacobs | 165 | 1262 | 113892 |
Barbara E.K. Klein | 160 | 856 | 93319 |
Christopher J. O'Donnell | 159 | 869 | 126278 |
Steven R. Cummings | 158 | 579 | 104007 |
David Cella | 156 | 1258 | 106402 |
Jack M. Guralnik | 148 | 453 | 83701 |