Jake Pushie
University of Saskatchewan
ABSTRACT
Metabolic Imaging of Brain Hemorrhage
M Jake Pushie,1 Miranda Messmer,1 Nicole J Sylvain,1 Jonathan Heppner,1 Julia Newton,1
Huishu Hou,1 Mark J Hackett,2 Michael E Kelly,1 Lissa Peeling1
1 - Neurosurgery, University of Saskatchewan, Saskatoon, SK, Canada
2 - Curtin University, Perth, WA, Australia
Stroke is a leading cause of death and permanent disability around the world. A major problem
in the characterization of animal stroke models is the potential for hemorrhagic transformation.
Ischemic stroke is caused by loss of blood flow in a region of brain tissue supplied by the
occluded vessel, starving that region of vital O2 and nutrients. Intracerebral hemorrhage (ICH) is
a bleed which occurs in the brain due to blood-brain barrier (BBB) breakdown and accounts for
approximately 15% of all human strokes. We observe 10-20% of our stroke surgeries have
evidence of hemorrhagic transformation. Characterizations of stroke models is challenging due
to the variability introduced by hemorrhagic transformation. We hypothesize that much of the
variability we observe after hemorrhage is due to the fact that we do not know precisely when
the hemorrhagic transformation occurred - resulting in widely varying post-hemorrhage times.
Following ICH, erythrocytes can survive from 2-10 days. Erythrolysis releases oxyhemoglobin,
which is slowly converted to deoxyhemoglobin and subsequently undergoes spontaneous
oxidation to methemoglobin. Further breakdown liberates heme-Fe. In the presence of O2 Fe can
generate free radicals, causing oxidative damage. To protect against oxidative damage
responding microglial cells begin to sequester Fe as ferritin, and therefore at late post-ICH time
points most Fe will be stored in glial cells as ferritin.
In early 2020 our laboratory was temporarily shutdown and we were unable to complete ongoing
experiments. Instead, we embarked on a survey of all stroke imaging data acquired by the
team since 2016, with the goal of better-characterizing ICH. We were able to identify trends,
allowing us to differentiate hemorrhage from ischemic tissue, and differentiate these from blood
vessels, grey and white matter, and from the penumbra − a region of damaged tissue surrounding
the infarct that is the target of stroke treatment. Fe K-edge μ-X-ray absorption spectroscopy
shows that Fe-ferritin can be detected in some samples within the heme-rich hemorrhage.
Sequestration of Fe within ferritin, combined with the concentration of adjacent lipid
peroxidation markers, may be useful markers to date the age of hemorrhages, allowing us to
calculate when a bleed initiated. We have recently established an ICH model to control time of
hemorrhage, allowing us to carry out blinded studies on the feasibility of dating time-of-bleedonset
in a controlled manner.
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