Linked Life Data

18318002

Source:http://linkedlifedata.com/resource/pubmed/id/18318002

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
2008-4-8
pubmed:abstractText
Nicotine dependence is known to induce long-term neural adaptations in brain. The purpose of this study was to verify whether specific protein patterns related to nicotine self-administration states could also be detected in a peripheral tissue. A serum proteomic analysis was performed by 2-DE on samples taken at six time points: N, naïve; P, priming; S, self-administration; W, withdrawal; E, extinction; R, relapse. After image analysis, spot volume values were submitted to a principal component analysis and relevant comparisons were selected. In N versus S; S versus W; E versus R; S versus R and S versus E comparisons a clear separation between groups could be observed, suggesting that each self-administration state correlates with a specific protein expression pattern. Partial least squares discriminant analysis was adopted to rank proteins by the contribution to the overall separation. A number of spots were identified; among them, C reactive protein and haemopexin displayed a significant reduction after nicotine administration; two haemopexin isoforms were decreased in the S state and antithrombin III was increased in the E phase. This study showed that specific protein patterns related to the nicotine self-administration states exist in serum. Further development of this approach may provide biomarkers to assess dependence states of drug-taking individuals.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0173-0835
pubmed:author
pubmed:issnType
Print
pubmed:volume
29
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1525-33
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Serum proteomic analysis during nicotine self-administration, extinction and relapse in rats.
pubmed:affiliation
Dipartimento Scientifico e Tecnologico, University of Verona, Verona, Italy.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't