Linked Life Data

17302284

Source:http://linkedlifedata.com/resource/pubmed/id/17302284

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2007-2-16
pubmed:abstractText
In vivo molecular imaging has become a key technology for pathophysiological science and drug development. We are mostly utilizing PET(positron emission tomography) as a first-choice modality, because of its ultra-high sensitivity for molecules, adequate temporal and spatial resolution, and especially broad spectrum of target molecules. In vivo molecular imaging could bring the high-quality information about: 1. Molecular diagnosis for living patients with symptoms 2. Closer approach for etiology and differential diagnosis 3. Direct follow-up of key molecules as disease markers 4. Pharmacokinetics/Pharmacodynamics in primates/human 5. Dose finding information for individuals, corresponding to SNPs 6. Direct evidence for accumulation in non-target organs related to adverse effects 7. Drug effects with surrogate markers 8. Early decision of dropout substances (drug candidates) Here, the examples are shown as beta-amyloid imaging for Alzheimer's and mild cognitive impairment, serotonin transporter imaging for chronic fatigue, and dopaminergic components imaging for evaluation of drug for autistic spectrum disorder. In 2005, RIKEN and National Institute of Radiological Science were selected as the key centers for development of All-Japan research network to further promote mutual international and multi -disciplinary collaboration on in vivo molecular imaging.
pubmed:language
jpn
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0047-1852
pubmed:author
pubmed:issnType
Print
pubmed:volume
65
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
357-62
pubmed:dateRevised
2011-7-27
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
[Molecular imaging for drug development].
pubmed:affiliation
Molecular Imaging Research Program, Frontier Research System, RIKEN.
pubmed:publicationType
Journal Article, English Abstract