Multimodal imaging of hemorrhagic transformation biomarkers in an ischemic stroke model.
dc.contributor.author | Pushie, M.J. | |
dc.contributor.author | Messmer, M. | |
dc.contributor.author | Sylvain, N.J. | |
dc.contributor.author | Heppner, J. | |
dc.contributor.author | Newton, J.M. | |
dc.contributor.author | Hou, H. | |
dc.contributor.author | Hackett, Mark | |
dc.contributor.author | Kelly, M.E. | |
dc.contributor.author | Peeling, L. | |
dc.date.accessioned | 2023-08-15T05:43:19Z | |
dc.date.available | 2023-08-15T05:43:19Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Pushie, M.J. and Messmer, M. and Sylvain, N.J. and Heppner, J. and Newton, J.M. and Hou, H. and Hackett, M.J. et al. 2022. Multimodal imaging of hemorrhagic transformation biomarkers in an ischemic stroke model. Metallomics. 14 (4): ARTN mfac007. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/92983 | |
dc.identifier.doi | 10.1093/mtomcs/mfac007 | |
dc.description.abstract |
Hemorrhagic transformation of ischemic stroke has devastating consequences, with high mortality and poor functional outcomes. Animal models of ischemic stroke also demonstrate the potential for hemorrhagic transformation, which complicates biochemical characterization, treatment studies, and hinders poststroke functional outcomes in affected subjects. The incidence of hemorrhagic transformation of ischemic stroke in animal model research is not commonly reported. The postmortem brain of such cases presents a complex milieu of biomarkers due to the presence of healthy cells, regions of varying degrees of ischemia, dead and dying cells, dysregulated metabolites, and blood components (especially reactive Fe species released from lysed erythrocytes). To improve the characterization of hemorrhage biomarkers on an ischemic stroke background, we have employed a combination of histology, X-ray fluorescence imaging (XFI), and Fourier transform infrared (FTIR) spectroscopic imaging to assess 122 photothrombotic (ischemic) stroke brains. Rapid freezing preserves brain biomarkers in situ and minimizes metabolic artifacts due to postmortem ischemia. Analysis revealed that 25% of the photothrombotic models had clear signs of hemorrhagic transformation. The XFI and FTIR metabolites provided a quantitative method to differentiate key metabolic regions in these models. Across all hemorrhage cases, it was possible to consistently differentiate otherwise healthy tissue from other metabolically distinct regions, including the ischemic infarct, the ischemic penumbra, blood vessels, sites of hemorrhage, and a region surrounding the hemorrhage core that contained elevated lipid oxidation. Chemical speciation of deposited Fe demonstrates the presence of heme-Fe and accumulation of ferritin. | |
dc.language | English | |
dc.publisher | OXFORD UNIV PRESS | |
dc.subject | Science & Technology | |
dc.subject | Life Sciences & Biomedicine | |
dc.subject | Biochemistry & Molecular Biology | |
dc.subject | hemorrhage | |
dc.subject | stroke | |
dc.subject | FTIR imaging | |
dc.subject | XFI | |
dc.subject | Fe speciation | |
dc.subject | oxidative damage | |
dc.subject | BRAIN-BARRIER PERMEABILITY | |
dc.subject | ION HOMEOSTASIS | |
dc.subject | IRON | |
dc.subject | HEME | |
dc.subject | SPECTROSCOPY | |
dc.subject | CALCIUM | |
dc.subject | INJURY | |
dc.subject | FTIR imaging | |
dc.subject | Fe speciation | |
dc.subject | XFI | |
dc.subject | hemorrhage | |
dc.subject | oxidative damage | |
dc.subject | stroke | |
dc.subject | Animals | |
dc.subject | Biomarkers | |
dc.subject | Brain Ischemia | |
dc.subject | Hemorrhage | |
dc.subject | Humans | |
dc.subject | Ischemic Stroke | |
dc.subject | Multimodal Imaging | |
dc.subject | Stroke | |
dc.subject | Animals | |
dc.subject | Humans | |
dc.subject | Brain Ischemia | |
dc.subject | Hemorrhage | |
dc.subject | Stroke | |
dc.subject | Multimodal Imaging | |
dc.subject | Biomarkers | |
dc.subject | Ischemic Stroke | |
dc.title | Multimodal imaging of hemorrhagic transformation biomarkers in an ischemic stroke model. | |
dc.type | Journal Article | |
dcterms.source.volume | 14 | |
dcterms.source.number | 4 | |
dcterms.source.issn | 1756-5901 | |
dcterms.source.title | Metallomics | |
dc.date.updated | 2023-08-15T05:43:16Z | |
curtin.department | School of Molecular and Life Sciences (MLS) | |
curtin.accessStatus | Open access via publisher | |
curtin.faculty | Faculty of Science and Engineering | |
curtin.contributor.orcid | Hackett, Mark [0000-0002-3296-7270] | |
curtin.identifier.article-number | ARTN mfac007 | |
dcterms.source.eissn | 1756-591X | |
curtin.contributor.scopusauthorid | Hackett, Mark [35240056500] [57999521300] | |
curtin.repositoryagreement | V3 |