Kinetic modeling of [F-18]FDG in skeletal muscle by PET: a four-compartment five-rate-constant model

Citation
A. Bertoldo et al., Kinetic modeling of [F-18]FDG in skeletal muscle by PET: a four-compartment five-rate-constant model, AM J P-ENDO, 281(3), 2001, pp. E524-E536
Citations number
34
Categorie Soggetti
Endocrinology, Nutrition & Metabolism
Journal title
AMERICAN JOURNAL OF PHYSIOLOGY-ENDOCRINOLOGY AND METABOLISM
ISSN journal
01931849 → ACNP
Volume
281
Issue
3
Year of publication
2001
Pages
E524 - E536
Database
ISI
SICI code
0193-1849(200109)281:3<E524:KMO[IS>2.0.ZU;2-E
Abstract
Various modeling strategies have been developed to convert regional [F-18]f luorodeoxyglucose ([F-18]FDG) concentration measured by positron emission t omography (PET) to a measurement of physiological parameters. However, all the proposed models have been developed and tested mostly for brain studies . The purpose of the present study is to select the most accurate model for describing [F-18]FDG kinetics in human skeletal muscle. The database consi sts of basal and hyperinsulinemic-euglycemic studies performed in normal su bjects. PET data were first analyzed by an input-output modeling technique (often called spectral analysis). These results provided guidelines for dev eloping a compartmental model. A new model with four compartments and five rate constants (5K model) emerged as the best. By accounting for plasma and extracellular and intracellular kinetics, this model allows, for the first time, PET assessment of the individual steps of [F-18] FDG kinetics in hum an skeletal muscle, from plasma to extracellular space to transmembrane tra nsport into the cell to intracellular phosphorylation. Insulin is shown to affect transport and phosphorylation but not extracellular kinetics, with t he transport step becoming the main site of control. The 5K model also allo ws definition of the domain of validity of the classic three-compartment th ree- or four-rate-constant models. These models are candidates for an inves tigative tool to quantitatively assess insulin control on individual metabo lic steps in human muscle in normal and physiopathological states.