title: Multivariate data analysis in biochemistry: a new integrative approach to metabolic control in brain aging.
abstract: The principal component analysis (PCA) allows to obtain a quantitative measure of the state of metabolism as a whole. In this paper we applied this method to the study of energy metabolism during aging process and of the effect of a drug (Acetyl-1-carnitine, ALCAR) on the aging brain.
authors.affiliation: Department of Chemistry, University of Rome, La Sapienza, Italy.
authors.forename: A
authors.initials: A
authors.lastname: Giuliani
authors.forename: G
authors.initials: G
authors.lastname: Capuani
authors.forename: A
authors.initials: A
authors.lastname: Miccheli
authors.forename: T
authors.initials: T
authors.lastname: Aureli
authors.forename: M T
authors.initials: MT
authors.lastname: Ramacc
authors.forename: F
authors.initials: F
authors.lastname: Conti
mesh_terms: D000108:Acetylcarnitine / Q000494:pharmacology*; D000375:Aging / Q000187:drug effects*; D000818:Animals; D001921:Brain / Q000187:drug effects* / Q000378:metabolism; D004734:Energy Metabolism / Q000187:drug effects; D009682:Magnetic Resonance Spectroscopy; D008297:Male; D015999:Multivariate Analysis; D051381:Rats; D011916:Rats, Inbred F344; D014020:Tissue Extracts / Q000032:analysis
chemical_list: D014020:Tissue Extracts; D000108:Acetylcarnitine