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通过正电子发射断层扫描(PET)对骨骼肌中[(18)F]氟代脱氧葡萄糖(FDG)进行动力学建模:一种四室五速率常数模型

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

作者信息

Bertoldo A, Peltoniemi P, Oikonen V, Knuuti J, Nuutila P, Cobelli C

机构信息

Department of Electronics and Informatics, University of Padova, Via Gradenigo 6/A, Padua 35131, Italy.

出版信息

Am J Physiol Endocrinol Metab. 2001 Sep;281(3):E524-36. doi: 10.1152/ajpendo.2001.281.3.E524.

Abstract

Various modeling strategies have been developed to convert regional [(18)F]fluorodeoxyglucose ([(18)F]FDG) concentration measured by positron emission tomography (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 [(18)F]FDG kinetics in human skeletal muscle. The database consists of basal and hyperinsulinemic-euglycemic studies performed in normal subjects. PET data were first analyzed by an input-output modeling technique (often called spectral analysis). These results provided guidelines for developing 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 [(18)F]FDG kinetics in human skeletal muscle, from plasma to extracellular space to transmembrane transport into the cell to intracellular phosphorylation. Insulin is shown to affect transport and phosphorylation but not extracellular kinetics, with the transport step becoming the main site of control. The 5K model also allows definition of the domain of validity of the classic three-compartment three- or four-rate-constant models. These models are candidates for an investigative tool to quantitatively assess insulin control on individual metabolic steps in human muscle in normal and physiopathological states.

摘要

已经开发出各种建模策略,用于将正电子发射断层扫描(PET)测量的区域[(18)F]氟脱氧葡萄糖([(18)F] FDG)浓度转换为生理参数的测量值。然而,所有提出的模型大多是针对脑部研究开发和测试的。本研究的目的是选择最准确的模型来描述人类骨骼肌中[(18)F] FDG的动力学。该数据库由在正常受试者中进行的基础和高胰岛素-正常血糖研究组成。PET数据首先通过输入-输出建模技术(通常称为频谱分析)进行分析。这些结果为开发隔室模型提供了指导。一个具有四个隔室和五个速率常数的新模型(5K模型)脱颖而出,成为最佳模型。通过考虑血浆、细胞外和细胞内动力学,该模型首次允许PET评估人类骨骼肌中[(18)F] FDG动力学的各个步骤,从血浆到细胞外空间,再到跨膜转运进入细胞,最后到细胞内磷酸化。结果表明,胰岛素会影响转运和磷酸化,但不影响细胞外动力学,转运步骤成为主要的控制位点。5K模型还允许定义经典的三室三或四速率常数模型的有效域。这些模型有望成为一种研究工具,用于在正常和病理生理状态下定量评估胰岛素对人类肌肉中各个代谢步骤的控制。

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