Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Brian Keogh is active.

Publication


Featured researches published by Brian Keogh.


Brain Behavior and Immunity | 2016

Inhibiting TLR2 activation attenuates amyloid accumulation and glial activation in a mouse model of Alzheimer’s disease

Claire L. McDonald; Edel Hennessy; Ana Rubio-Araiz; Brian Keogh; William McCormack; Peter McGuirk; Mary Reilly; Marina A. Lynch

The effects of Toll-like receptor (TLR) activation in peripheral cells are well characterized but, although several TLRs are expressed on cells of the brain, the consequences of their activation on neuronal function remain to be fully investigated, particularly in the context of assessing their potential as therapeutic targets in neurodegenerative diseases. Several endogenous TLR ligands have been identified, many of which are soluble factors released from cells exposed to stressors. In addition, amyloid-β (Aβ) the main constituent of the amyloid plaques in Alzheimers disease (AD), activates TLR2, although it has also been shown to bind to several other receptors. The objective of this study was to determine whether activation of TLR2 played a role in the developing inflammatory changes and Aβ accumulation in a mouse model of AD. Wild type and transgenic mice that overexpress amyloid precursor protein and presenilin 1 (APP/PS1 mice) were treated with anti-TLR2 antibody for 7months from the age of 7-14months. We demonstrate that microglial and astroglial activation, as assessed by MHCII, CD68 and GFAP immunoreactivity was decreased in anti-TLR2 antibody-treated compared with control (IgG)-treated mice. This was associated with reduced Aβ plaque burden and improved performance in spatial learning. The data suggest that continued TLR2 activation contributes to the developing neuroinflammation and pathology and may be provide a strategy for limiting the progression of AD.


Archive | 2008

COMPOSITION AND METHOD FOR TREATMENT OF REPERFUSION INJURY AND TISSUE DAMAGE

Mark Heffernan; Luke O'Neill; Peter McGuirk; Brian Keogh; Christopher Locher; Dominique de Kleijn; Fatih Arslan; Gerard Pasterkamp


Archive | 2008

USE OF TLR-2 ANTAGONISTS FOR TREATMENT OF REPERFUSION INJURY AND TISSUE DAMAGE

Mark Heffernan; Luke O'Neill; Peter McGuirk; Brian Keogh; Christopher Locher; Kleijn Dominique De; Fatih Arslan; Gerard Pasterkamp


Archive | 2008

Compounds and methods for the treatment of renal disease

Mark Heffernan; Luke O'Neill; Peter McGuirk; Brian Keogh; Christopher Locher


Archive | 2006

Modulation of an immune response by filamentous haemagglutinin

Kingston Mills; Brian Keogh; Peter McGuirk; Kevin Walsh


Archive | 2012

Treatment of renal disease

Mark Heffernan; Luke O'Neill; Peter McGuirk; Brian Keogh; Christopher Locher


Archive | 2008

Anti-toll-like receptor 2 antibodies for use in the treatment of cardiac inflammatory conditions

Mark Heffernan; Luke O'Neill; Peter McGuirk; Brian Keogh; Christopher Locher; Kleijn Dominique De; Fatih Arslan; Gerard Pasterkamp


Archive | 2008

Method for the treatment of rheumatoid arthritis using a TLR2 antagonistic antibody

Mark Heffernan; Luke O'Neill; Peter McGuirk; Brian Keogh; Christopher Locher


Archive | 2008

Composition et procédé pour le traitement d'une lésion de reperfusion et d'un dommage tissulaire

Mark Heffernan; Luke O'Neill; Peter McGuirk; Brian Keogh; Christopher Locher; Kleijn Dominique De; Fatih Arslan; Gerard Pasterkamp


Archive | 2006

Methods and compounds for the treatment of autoimmune diseases and chronic inflammatory conditions

Kingston Mills; Brian Keogh; Peter McGuirk

Collaboration


Dive into the Brian Keogh's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Edel Hennessy

University of California

View shared research outputs
Top Co-Authors

Avatar

Kevin Walsh

Boston Children's Hospital

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge