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Institution

University of Kentucky

EducationLexington, Kentucky, United States
About: University of Kentucky is a education organization based out in Lexington, Kentucky, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 43933 authors who have published 92195 publications receiving 3256087 citations. The organization is also known as: UK.
Topics: Population, Poison control, Health care, Gene, Cancer


Papers
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Journal ArticleDOI
TL;DR: The structural organization of AAA+ proteins, the conformational changes they undergo, the range of different reactions they catalyse, and the diseases associated with their dysfunction are reviewed.
Abstract: The AAA+ (ATPases associated with various cellular activities) family is a large and functionally diverse group of enzymes that are able to induce conformational changes in a wide range of substrate proteins. The family's defining feature is a structurally conserved ATPase domain that assembles into oligomeric rings and undergoes conformational changes during cycles of nucleotide binding and hydrolysis. Here, we review the structural organization of AAA+ proteins, the conformational changes they undergo, the range of different reactions they catalyse, and the diseases associated with their dysfunction.

1,137 citations

Journal ArticleDOI
TL;DR: Langtry et al. as discussed by the authors developed a new correlation-based transition model based strictly on local variables, which is compatible with modern computational fluid dynamics (CFD) approaches, such as unstructured grids and massive parallel execution.
Abstract: A new correlation-based transition model has been developed, which is based strictly on local variables. As a result, the transition model is compatible with modern computational fluid dynamics (CFD) approaches, such as unstructured grids and massive parallel execution. The model is based on two transport equations, one for intermittency and one for the transition onset criteria in terms of momentum thickness Reynolds number. The proposed transport equations do not attempt to model the physics of the transition process (unlike, e.g., turbulence models) but form a framework for the implementation of correlation-based models into general-purpose CFD methods. Part I (this part) of this paper gives a detailed description of the mathematical formulation of the model and some of the basic test cases used for model validation, including a two-dimensional turbine blade. Part II (Langtry, R. B., Menter, F. R., Likki, S. R., Suzen, Y. B., Huang, P. G., and Volker, S., 2006, ASME J. Turbomach., 128(3), pp. 423–434) of the paper details a significant number of test cases that have been used to validate the transition model for turbomachinery and aerodynamic applications. The authors believe that the current formulation is a significant step forward in engineering transition modeling, as it allows the combination of correlation-based transition models with general purpose CFD codes.

1,131 citations

Journal ArticleDOI
TL;DR: Interestingly, deposited Abeta in AD is different from that found in animal models and does not show the same physical and biochemical characteristics as the amyloid found in AD, which raises important issues regarding the development and testing of future therapeutic agents.
Abstract: Alzheimer's disease (AD) pathogenesis is widely believed to be driven by the production and deposition of the amyloid-beta peptide (Abeta). For many years, investigators have been puzzled by the weak to nonexistent correlation between the amount of neuritic plaque pathology in the human brain and the degree of clinical dementia. Recent advances in our understanding of the development of amyloid pathology have helped solve this mystery. Substantial evidence now indicates that the solubility of Abeta, and the quantity of Abeta in different pools, may be more closely related to disease state. The composition of these pools of Abeta reflects different populations of amyloid deposits and has definite correlates with the clinical status of the patient. Imaging technologies, including new amyloid imaging agents based on the chemical structure of histologic dyes, are now making it possible to track amyloid pathology along with disease progression in the living patient. Interestingly, these approaches indicate that the Abeta deposited in AD is different from that found in animal models. In general, deposited Abeta is more easily cleared from the brain in animal models and does not show the same physical and biochemical characteristics as the amyloid found in AD. This raises important issues regarding the development and testing of future therapeutic agents.

1,131 citations

Journal ArticleDOI
TL;DR: In this article, the authors present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes.
Abstract: In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field.

1,129 citations

Journal ArticleDOI
01 Dec 2014-Thyroid
TL;DR: It is concluded that levothyroxine should remain the standard of care for treating hypothyroidism and no consistently strong evidence for the superiority of alternative preparations is found.
Abstract: Background: A number of recent advances in our understanding of thyroid physiology may shed light on why some patients feel unwell while taking levothyroxine monotherapy. The purpose of this task force was to review the goals of levothyroxine therapy, the optimal prescription of conventional levothyroxine therapy, the sources of dissatisfaction with levothyroxine therapy, the evidence on treatment alternatives, and the relevant knowledge gaps. We wished to determine whether there are sufficient new data generated by well-designed studies to provide reason to pursue such therapies and change the current standard of care. This document is intended to inform clinical decision-making on thyroid hormone replacement therapy; it is not a replacement for individualized clinical judgment. Methods: Task force members identified 24 questions relevant to the treatment of hypothyroidism. The clinical literature relating to each question was then reviewed. Clinical reviews were supplemented, when relevant, with related...

1,128 citations


Authors

Showing all 44305 results

NameH-indexPapersCitations
Mark P. Mattson200980138033
Carlo M. Croce1981135189007
Charles A. Dinarello1901058139668
Richard A. Gibbs172889249708
Gang Chen1673372149819
David A. Bennett1671142109844
Carl W. Cotman165809105323
Rodney S. Ruoff164666194902
David Tilman158340149473
David Cella1561258106402
Richard E. Smalley153494111117
Deepak L. Bhatt1491973114652
Kevin Murphy146728120475
Jian Yang1421818111166
Thomas J. Smith1401775113919
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023108
2022532
20214,331
20204,216
20193,965
20183,605