Linked Life Data

21279613

Source:http://linkedlifedata.com/resource/pubmed/id/21279613

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PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2011-1-31
pubmed:abstractText
Inflammation is a key component of many neurological diseases, yet our understanding of the contribution of these processes to tissue damage remains poor. For many such diseases, magnetic resonance imaging (MRI) has become the method of choice for clinical diagnosis. However, many of the MRI parameters that enable disease detection, such as passive contrast enhancement across a compromised blood-brain barrier, are weighted towards late-stage disease. Moreover, whilst these methods may report on disease severity, they are not able to provide information on either disease activity or the underlying molecular processes. There is a need, therefore, to develop methods that enable earlier disease detection, potentially long before clinical symptoms become apparent, together with identification of specific molecular processes that may guide specific therapy. This chapter describes the methodology for the synthesis and validation of two novel, functional MRI-detectable probes, based on microparticles of iron oxide (MPIO), which target endothelial adhesion molecules. These contrast agents enable the detection of acute brain inflammation in vivo, at a time when pathology is undetectable by conventional MRI. Such molecular MRI methods are opening new vistas for the acute diagnosis of CNS disease, together with the possibility for individually tailored therapy and earlier, more sensitive assessment of the efficacy of novel therapies.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1940-6029
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
711
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
379-96
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Molecular MRI approaches to the detection of CNS inflammation.
pubmed:affiliation
CR-UK/MRC Gray Institute for Radiation Oncology and Biology, University of Oxford, Oxford, UK. nicola.sibson@rob.ox.ac.uk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't