Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Matthew P. Neilson"'
Autor:
Miao Pan, Matthew P Neilson, Alexander M Grunfeld, Phillip Cruz, Xi Wen, Robert H Insall, Tian Jin
Publikováno v:
PLoS Biology, Vol 16, Iss 5, p e2005754 (2018)
Phagocytes locate microorganisms via chemotaxis and then consume them using phagocytosis. Dictyostelium amoebas are stereotypical phagocytes that prey on diverse bacteria using both processes. However, as typical phagocytic receptors, such as complem
Externí odkaz:
https://doaj.org/article/64e5f059c5fc4f3abb9b4ccb79faea7b
Autor:
Matthew P Neilson, Douwe M Veltman, Peter J M van Haastert, Steven D Webb, John A Mackenzie, Robert H Insall
Publikováno v:
PLoS Biology, Vol 9, Iss 5, p e1000618 (2011)
The mechanism of eukaryotic chemotaxis remains unclear despite intensive study. The most frequently described mechanism acts through attractants causing actin polymerization, in turn leading to pseudopod formation and cell movement. We recently propo
Externí odkaz:
https://doaj.org/article/7a1b5840aecb4bf189ba8054dbaddbb7
Autor:
Wayne C. Levy, Christopher M. O'Connor, Todd F. Dardas, Stephen J. Ellis, Kevin A. Schulman, Yanhong Li, Ramin Shadman, Hf-Action Investigators, David J. Whellan, Matthew P. Neilson, Michael R. Zile, Shelby D. Reed
Publikováno v:
JACC. Clinical electrophysiology. 3(3)
Objectives In this study, the authors developed the Seattle Proportional Risk Model (SPRM) to estimate the proportion of total mortality due to sudden death. We prospectively validated the model in HF-ACTION (Participants in Heart Failure: A Controll
Autor:
Wayne C. Levy, Yanhong Li, David J. Whellan, Christopher M. O'Connor, Kevin A. Schulman, Shelby D. Reed, Matthew P. Neilson, Stephen J. Ellis
Publikováno v:
Journal of Cardiac Failure. 20:541-547
Prognostic models, such as the Seattle Heart Failure Model (SHFM), have been developed to predict patient survival. The extent to which they predict medical resource use and costs has not been explored. In this study, we evaluated relationships betwe
Autor:
Barbara Riegel, Andrew Briggs, Matthew Gardner, David J. Whellan, Wayne C. Levy, Daniel Polsky, Matthew P. Neilson, Kevin A. Schulman, Felicia L. Graham, Sara C. Paul, Shelby D. Reed, Bradi B. Granger, Margaret Bowers, Yanhong Li
Background:\ud \ud Heart failure disease management programs can influence medical resource use and quality-adjusted survival. Because projecting long-term costs and survival is challenging, a consistent and valid approach to extrapolating short-term
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de372adff1f74ffbf863102ad6e4fd07
https://eprints.gla.ac.uk/113095/7/113095.pdf
https://eprints.gla.ac.uk/113095/7/113095.pdf
Autor:
Andrew D. White, Elaine Morrison, Uzma Malik, Matthew P. Neilson, Paul E. McGill, Stuart W. McDonald
Publikováno v:
Clinical Anatomy. 17:378-391
This study analyses changes in the bony architecture of the femoral head and neck in osteoarthritis. Five osteoarthritic hips were obtained from female patients undergoing total hip replacement and were compared to non-arthritic control specimens fro
Autor:
A.G. Robertson, D.S. Soutar, Matthew P. Neilson, E. Johnston, Darwish H. Badran, Stuart W. McDonald, A. Sinclair
Publikováno v:
Clinical Anatomy. 17:227-232
We reported previously that skin flaps transplanted to the oral cavity in reconstructive surgery for oral cancer frequently acquired the gross appearance of buccal mucosa. The changes were shown to be reactive in nature. The "changed" flaps generally
Autor:
Seamus Kent, Matthew P. Neilson, Keith A.A. Fox, Ian Ford, Graham Watt, Hugh Tunstall-Pedoe, James Lewsey, Andrew Briggs, Lewis D Ritchie, Mark Woodward, Kenny D Lawson
Publikováno v:
Heart
Objectives A policy model is a model that can evaluate the effectiveness and cost-effectiveness of interventions and inform policy decisions. In this study, we introduce a cardiovascular disease (CVD) policy model which can be used to model remaining
Autor:
David J. Whellan, Wayne C. Levy, Shelby D. Reed, Kevin A. Schulman, Matthew P. Neilson, Yanhong Li
The Seattle Heart Failure Model (SHFM) is a well validated prediction model of all-cause mortality in patients with heart failure, but its relationship with generic health status measures has not been evaluated. We sought to investigate relationships
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1595d8c1d277d6a8a841970d43216448
https://europepmc.org/articles/PMC3709866/
https://europepmc.org/articles/PMC3709866/
Autor:
Neal G. Uren, William D. Toff, Elisabeth Fenwick, Andrew Briggs, Aileen Murphy, Matthew P. Neilson, Colin Berry, Keith G. Oldroyd
Publikováno v:
International journal of technology assessment in health care. 29(1)
Aortic stenosis (AS) is caused by age-related calcific degeneration of the aortic valve (1). Initially, cases are asymptomatic but, from the point that symptoms first develop, there is rapid progression and if left untreated survival estimates are lo