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A Semiquantitative Non-invasive Measurement of PcomA Patency in C57BL/6 Mice Explains Variance in Ischemic Brain Damage in Filament MCAo. | LitMetric

A Semiquantitative Non-invasive Measurement of PcomA Patency in C57BL/6 Mice Explains Variance in Ischemic Brain Damage in Filament MCAo.

Front Neurosci

Department of Neurology with Experimental Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany.

Published: September 2020

AI Article Synopsis

  • A study assessed the variability in lesion sizes during ischemic stroke experiments using the fMCAo model in C57BL/6 mice, linked to the patency of the posterior communicating artery (PcomA).
  • Measurement of PcomA size 24 hours after stroke was found to correlate negatively with lesion size, explaining 30% of the variability in stroked mice.
  • Implementing this measurement can increase the accuracy in evaluating treatment effects in stroke research by enhancing statistical power.

Article Abstract

Numerous studies on experimental ischemic stroke use the filament middle cerebral artery occlusion (fMCAo) model in C57BL/6 mice, but lesion sizes in this strain are highly variable. A known contributor is variation in the posterior communicating artery (PcomA) patency. We therefore aimed to provide a semiquantitative non-invasive method to routinely assess PcomA patency. We included 43 male C57BL/6 mice from four independent studies using a transient 45 min fMCAo model. Edema-corrected lesion sizes were measured by magnetic resonance (MR) imaging 24 h after reperfusion. Time-of-flight MR angiography was performed 7 days before and 24 h after fMCAo. Scores of PcomA size measured 24 h after, but not scores measured 7 days before fMCAo were negatively correlated with lesion size. Variability in PcomA patency explained 30% of the variance in our cohort ( < 0.0001, coefficient of determination = 0.3). In a simulation using parameters typical for experimental stroke research, the power to detect a true effect of = 1 between two groups increased by 15% when an according covariate was included in the statistical model. We have demonstrated that measurement of PcomA size is feasible and can lead to increased accuracy in assessing the effect of treatments.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538613PMC
http://dx.doi.org/10.3389/fnins.2020.576741DOI Listing

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