Defining the Spatial Resolution of Analyte Recovery during Microperfusion-Based Sampling of Brain Parenchyma.

biomarker brain computational fluid dynamics diffusion interstitial fluid microperfusion

Journal

ACS chemical neuroscience
ISSN: 1948-7193
Titre abrégé: ACS Chem Neurosci
Pays: United States
ID NLM: 101525337

Informations de publication

Date de publication:
18 Aug 2024
Historique:
medline: 19 8 2024
pubmed: 19 8 2024
entrez: 19 8 2024
Statut: aheadofprint

Résumé

The unique architecture of the brain and the blood-brain barrier imposes challenges for the measurement of parenchyma-derived biomarkers that prevent sufficient understanding of transient neuropathogenic processes. One solution to this challenge is direct sampling of brain interstitial fluid via implanted microperfusion probes. Seeking to understand spatial limitations to microperfusion in the brain, we employed computational fluid dynamics modeling and empirical recovery of fluorescently labeled dextrans in an animal model. We found that dextrans were successfully recovered via microperfusion over a 6 h sampling period, especially at probes implanted 2 mm from the dextran infusion point relative to probes implanted 5 mm from the injection site. Experimental recovery was consistently around 1% of simulated, suggesting that this parameter can be used to set practical limits on the maximal tissue concentration of proteins measured in microperfusates and on the spatial domain sampled by our multimodal microperfusion probe.

Identifiants

pubmed: 39155540
doi: 10.1021/acschemneuro.4c00410
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Luke A Stangler (LA)

School of Engineering, Deakin University, Geelong, Victoria 3216, Australia.
Division of Engineering, Mayo Clinic, Rochester, Minnesota 55905, United States.

Su-Youne Chang (SY)

Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota 55905, United States.

Inyong Kim (I)

Department of Neurology, Mayo Clinic, Rochester, Minnesota 55905, United States.

Jonghoon Choi (J)

Department of Neurology, Mayo Clinic, Rochester, Minnesota 55905, United States.

Abbas Z Kouzani (AZ)

School of Engineering, Deakin University, Geelong, Victoria 3216, Australia.

Kevin E Bennet (KE)

Division of Engineering, Mayo Clinic, Rochester, Minnesota 55905, United States.

Terry C Burns (TC)

Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota 55905, United States.

Jamie J Van Gompel (JJ)

Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota 55905, United States.

Gregory A Worrell (GA)

Department of Neurology, Mayo Clinic, Rochester, Minnesota 55905, United States.

Charles L Howe (CL)

Department of Neurology, Mayo Clinic, Rochester, Minnesota 55905, United States.
Division of Experimental Neurology, Mayo Clinic, Rochester, Minnesota 55905, United States.

Classifications MeSH