Effects of the perivascular space on convection-enhanced delivery of liposomes in primate putamen

Michal T. Krauze, Ryuta Saito, Charles Noble, John Bringas, John Forsayeth, Tracy R. McKnight, John Park, Krystof S. Bankiewicz

Research output: Contribution to journalArticlepeer-review

62 Citations (Scopus)

Abstract

Convection-enhanced delivery has recently entered the clinic and represents a promising new therapeutic option in the field of neurodegenerative diseases and treatment of brain tumors. Understanding of the principles governing delivery and flow of macromolecules within the CNS is still poorly understood and requires more investigation of the microanatomy and fluid dynamics of the brain. Our previously established, reflux-free convection-enhanced delivery (CED) technique and real-time imaging MR method for monitoring CED delivery of liposomes in primate CNS allowed us to closely monitor infusions of putamen. Our findings indicate that CED in putamen is associated with perivascular transport of liposomes, throughout CNS arteries. The results may explain side effects seen in current clinical trials using CED. In addition, they clearly show the necessity for a monitoring technique for future direct delivery of therapeutic agents to the human central nervous system. Based on these findings, we believe that the physiological concept that the perivascular space serves as a conduit for distribution of endogenous molecules within the CNS also applies to interstitially infused agents.

Original languageEnglish
Pages (from-to)104-111
Number of pages8
JournalExperimental Neurology
Volume196
Issue number1
DOIs
Publication statusPublished - 2005 Nov 1
Externally publishedYes

Keywords

  • Convection-enhanced delivery
  • Liposomes
  • MRI
  • Perivascular space
  • Primate
  • Putamen

ASJC Scopus subject areas

  • Neurology
  • Developmental Neuroscience

Fingerprint Dive into the research topics of 'Effects of the perivascular space on convection-enhanced delivery of liposomes in primate putamen'. Together they form a unique fingerprint.

Cite this