Blood-brain barrier permeability measurements by double-indicator method using intravenous injection

Research output: Contribution to journalJournal articleResearchpeer-review

The double-indicator technique with intracarotid bolus injection is useful for the estimation of transfer rates across the human blood-brain barrier. A method using intravenous tracer injection is developed whereby the input is measured at a peripheral artery and the output is measured at the jugular vein. To correct for differences in the brain input of test and reference substances, a five-parameter Dirac impulse response for passage through the cerebrovascular bed is computed from the input and output of the reference substance. This response is then combined with a capillary model of the brain. This is then convoluted with the arterial input curve of the test substance to yield a theoretical test output curve, which is compared with the actual test output curve. On the basis of these two curves and an appropriate mathematical model for the brain, estimates of blood-brain barrier permeability are obtained. In the present study, the techniques are compared in 13 patients in whom alternating intracarotid and intravenous bolus injections were given. For D-glucose, the two techniques yielded similar results. This was also the case for L-phenylalanine, provided that the erythrocyte compartment was taken into account. Data obtained after intravenous injection of leucine and water yielded similar results compared with previous intracarotid data.

Original languageEnglish
JournalThe American Journal of Physiology
Volume266
Issue number3 Pt 2
Pages (from-to)H987-99
Number of pages12
ISSN0002-9513
DOIs
Publication statusPublished - Mar 1994

    Research areas

  • Adult, Aged, Blood-Brain Barrier, Capillary Permeability, Carotid Arteries, Female, Glucose/pharmacokinetics, Humans, Indicators and Reagents, Injections, Injections, Intravenous, Leucine/pharmacokinetics, Male, Middle Aged, Models, Cardiovascular, Phenylalanine/pharmacokinetics, Water/metabolism

ID: 279699336