A path analysis of the causal relationships between red cell glycolytic intermediates, ADP and ATP in sickle cell anemia
dc.contributor.author | Moll, Patricia Peyser | en_US |
dc.contributor.author | Sing, Charles F. | en_US |
dc.contributor.author | Brewer, George J. | en_US |
dc.date.accessioned | 2006-04-07T17:07:13Z | |
dc.date.available | 2006-04-07T17:07:13Z | |
dc.date.issued | 1977-12 | en_US |
dc.identifier.citation | Moll, Patricia P., Sing, Charles F., Brewer, George J. (1977/12)."A path analysis of the causal relationships between red cell glycolytic intermediates, ADP and ATP in sickle cell anemia." Biosystems 9(4): 245-256. <http://hdl.handle.net/2027.42/22789> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6T2K-49NP8R9-25/2/8a539a779c40b3470206bbd437590b3c | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/22789 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=597596&dopt=citation | en_US |
dc.description.abstract | The statistical relationships among the glycolytic intermediates (GIs) of the Embden-Meyerhof pathway, adenine nucleotides (ANs) and various hematological measures were estimated for 34 sickle cell anemia patients. Heterogeneity in linear and quadratic regressions of hemoglobin and hematocrit, both singly and jointly, on the GI and AN variables implied 1) that any single formula to standardize optical density measures of the GIs and ANs on a per gram hemoglobin or per liter cell water basis would not uniformly remove hemoglobin and hematocrit effects; 2) that ignoring significant hematological effects could bias the estimates of correlation among GIs and ANs; and 3) that hemoglobin and hematocrit measures do not reflect the same source of variability.The correlations among the GIs and ANs, after adjustment for hematological variability, were analyzed by path analysis to determine which of five proposed path models for cause and effect relationships were compatible with the data. AMP had a greater influence on ADP (coefficient of determination (CD) = 23%) than all the GIs together, while G6P and ADP influenced ATP variability the most (CD = 33% and 12%). The contributions of unknown factors to ADP and ATP variability were large for all models (CD = 56-77%) possibly due to stress of sickle cell disease. The path model with AMP and the four GIs (G6P, F6P, FDP, DHAP) influencing ADP variation, and the same GIs and ADP influencing ATP was the model most compatible with the data. | en_US |
dc.format.extent | 903933 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | A path analysis of the causal relationships between red cell glycolytic intermediates, ADP and ATP in sickle cell anemia | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Natural Resources and Environment | en_US |
dc.subject.hlbsecondlevel | Molecular, Cellular and Developmental Biology | en_US |
dc.subject.hlbsecondlevel | Ecology and Evolutionary Biology | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Human Genetics University of Michigan, Ann Arbor, MI 48109, U.S.A. | en_US |
dc.contributor.affiliationum | Department of Human Genetics University of Michigan, Ann Arbor, MI 48109, U.S.A. | en_US |
dc.contributor.affiliationum | Department of Human Genetics University of Michigan, Ann Arbor, MI 48109, U.S.A. | en_US |
dc.identifier.pmid | 597596 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/22789/1/0000345.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0303-2647(77)90008-9 | en_US |
dc.identifier.source | Biosystems | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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