Abstract
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 subject as to the 24-hour urinary values for norepinephrine, normetanephrine, vanillymandelic 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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 89-105 |
| Number of pages | 17 |
| Journal | Psychiatry Research |
| Volume | 18 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1986 |
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Keywords
- catecholamines
- LISREL
- mathematical models
- norepinephrine
- Path analysis
ASJC Scopus subject areas
- Psychiatry and Mental health
- Biological Psychiatry
- Psychology(all)
Cite this
Path analysis of psychopharmacological data : Catecholamine breakdown in man. / Gibbons, Robert D.; Maas, James W.; Davis, John M.; Swann, Alan C.; Eugene Redmond, D.; Casper, Regina C.; Hanin, Israel; Bowden, Charles L.; Kocsis, James; Stokes, Peter E.
In: Psychiatry Research, Vol. 18, No. 1, 1986, p. 89-105.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Path analysis of psychopharmacological data
T2 - Catecholamine breakdown in man
AU - Gibbons, Robert D.
AU - Maas, James W.
AU - Davis, John M.
AU - Swann, Alan C.
AU - Eugene Redmond, D.
AU - Casper, Regina C.
AU - Hanin, Israel
AU - Bowden, Charles L.
AU - Kocsis, James
AU - Stokes, Peter E.
PY - 1986
Y1 - 1986
N2 - 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 subject as to the 24-hour urinary values for norepinephrine, normetanephrine, vanillymandelic 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.
AB - 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 subject as to the 24-hour urinary values for norepinephrine, normetanephrine, vanillymandelic 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.
KW - catecholamines
KW - LISREL
KW - mathematical models
KW - norepinephrine
KW - Path analysis
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U2 - 10.1016/0165-1781(86)90061-2
DO - 10.1016/0165-1781(86)90061-2
M3 - Article
C2 - 3737789
AN - SCOPUS:0022519222
VL - 18
SP - 89
EP - 105
JO - Psychiatry Research
JF - Psychiatry Research
SN - 0165-1781
IS - 1
ER -