X-ray fluorescence imaging reveals the dynamic time course of elemental changes in an ischemic stroke model
Bibliographic record
Abstract
Huishu Hou,1 M. Jake Pushie,1 Nicole J. Sylvain,1 Sharleen Weese Maley1, Mark J. Hackett,2 and Michael E. Kelly11 Department of Surgery, College of Medicine, University of Saskatchewan.2Nanochemistry Research Institute, Department of Chemistry, Curtin University, Perth, Australia. u200bThe changes in elemental distributions (Ca, K, Zn, etc.) during the progression from the acute to chronic phase following ischemic stroke are poorly understood due to the limitations of conventional imaging and biochemical detection techniques. Synchrotron-based X-ray fluorescence imaging (XFI) is a non-destructive technique providing visualization and quantification of microscopic distributions of elements without pre-treatment or staining. We employ a mouse model of focal ischemia to induce a thrombus in the motor cortex. At pre-defined post-stroke intervals (1h, 24h, 48h, 72h, and 7, 14, 21 and 28 days), brains are collected and frozen for cryo-sectioning. 30-micron thick sections are collected and mapped using XFI for Cl, Ca, Mn, K, and Zn. The XFI results show significant accumulation of Cl and Ca within the stroke lesion, and reduction in P, S, and Zn as early as 1h post-stroke. These trends continue until 72h post-stroke. Unaffected areas of brain show no significant changes compared to shams throughout the time course. Many elements return to normal levels in the penumbra after 1 week. We hypothesize that these changes in elemental levels are due to redistribution between the infarct, extracellular environment, and blood, due to disruption of the blood-brain-barrrier. Mn started accumulate after 3d post-stroke. Transmission electron microscope (TEM) result shows mitochondria die acutely in ischemic tissues and re-appear at later time points. Mitochondria are rich in Mn, and Mnis incorporated into enzymes as Mn-superoxide dismutase (SOD2) which protects cells from oxidative.u200b
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".