Multivariate data analysis in biochemistry: a new integrative approach to metabolic control in brain aging

A Giuliani; G Capuani; A Miccheli; T Aureli; M T Ramacc; F Conti

Multivariate data analysis in biochemistry: a new integrative approach to metabolic control in brain aging

Cell Mol Biol. 1991;37(6):631-8.

Authors

A Giuliani¹, G Capuani, A Miccheli, T Aureli, M T Ramacc, F Conti

Affiliation

¹ Department of Chemistry, University of Rome, La Sapienza, Italy.

PMID: 1747898

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.

Publication types

Comparative Study

MeSH terms

Acetylcarnitine / pharmacology*
Aging / drug effects*
Animals
Brain / drug effects*
Brain / metabolism
Energy Metabolism / drug effects
Magnetic Resonance Spectroscopy
Male
Multivariate Analysis*
Rats
Rats, Inbred F344
Tissue Extracts / analysis

Substances

Tissue Extracts
Acetylcarnitine