Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Non-invasive diagnostic biomarkers for estimating the onset time of permanent cerebral ischemia
 
research article

Non-invasive diagnostic biomarkers for estimating the onset time of permanent cerebral ischemia

Berthet, Carole
•
Xin, Lijing  
•
Buscemi, Lara
Show more
2014
Journal of Cerebral Blood Flow & Metabolism

The treatments for ischemic stroke can only be administered in a narrow time-window. However, the ischemia onset time is unknown in ~30% of stroke patients (wake-up strokes). The objective of this study was to determine whether MR spectra of ischemic brains might allow the precise estimation of cerebral ischemia onset time. We modeled ischemic stroke in male ICR-CD1 mice using a permanent middle cerebral artery filament occlusion model with laser Doppler control of the regional cerebral blood flow. Mice were then subjected to repeated MRS measurements of ipsilateral striatum at 14.1[thinsp]T. A striking initial increase in [gamma]-aminobutyric acid (GABA) and no increase in glutamine were observed. A steady decline was observed for taurine (Tau), N-acetyl-aspartate (NAA) and similarly for the sum of NAA+Tau+glutamate that mimicked an exponential function. The estimation of the time of onset of permanent ischemia within 6[thinsp]hours in a blinded experiment with mice showed an accuracy of 33[plusmn]10[thinsp]minutes. A plot of GABA, Tau, and neuronal marker concentrations against the ratio of acetate/NAA allowed precise separation of mice whose ischemia onset lay within arbitrarily chosen time-windows. We conclude that 1H-MRS has the potential to detect the clinically relevant time of onset of ischemic stroke.

  • Files
  • Details
  • Metrics
Loading...
Thumbnail Image
Name

Berthet_PermIschemia_JCBFM_2014.pdf

Type

Publisher's Version

Version

Access type

openaccess

Size

590.84 KB

Format

Adobe PDF

Checksum (MD5)

c3345a3c957fb9b43c8cd1b0d4a6bf62

Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés