Linked Life Data

3737789

Source:http://linkedlifedata.com/resource/pubmed/id/3737789

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
1986-9-16
pubmed:abstractText
This article applies path analysis to the problem of characterizing metabolic alterations in catecholamine systems when only static or single measures of precursor and products are available. In this article, simulated data from kinetic models of norepinephrine metabolism were examined using path analysis. The method of path analysis, which is based on correlations between compartments and not actual flow, correctly identified operative and nonoperative metabolic pathways in simulated models. In addition, actual data from normal subjects as to the 24-hour urinary values for norepinephrine, normetanephrine, vanillylmandelic acid, and 3-methoxy-4-hydroxyphenylglycol were analyzed using path analysis. It was found that metabolic routes that are known to be incomplete did not fit these data, whereas the known metabolic pathways for norepinephrine were correctly identified using path analysis. These results suggest that path analysis may provide a useful tool in identifying normal and abnormal catecholamine metabolic pathways in experimental situations where only single values of precursor and products are available.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0165-1781
pubmed:author
pubmed:issnType
Print
pubmed:volume
18
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
89-105
pubmed:dateRevised
2008-4-17
pubmed:meshHeading
pubmed:year
1986
pubmed:articleTitle
Path analysis of psychopharmacological data: catecholamine breakdown in man.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, Non-U.S. Gov't