MétaCan
Menu
← Back to cohort
Record W4319008008 · doi:10.1161/str.54.suppl_1.tp92

Abstract TP92: Early Hyperacute Ion Dysregulation Following A Temporary Large Vessel Occlusion Stroke

2023· article· en· W4319008008 on OpenAlexaff
M. Jake Pushie, Nicole J. Sylvain, Huishu Hou, Michael Kelly

Bibliographic record

VenueStroke · 2023
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicinePenumbraStroke (engine)LesionOcclusionCardiologyIschemiaPathologyInternal medicine

Abstract

fetched live from OpenAlex

Introduction: Ion dysregulation is a hallmark of energy failure after onset of ischemic stroke. To better understand the nature of the ion concentration changes in the early hyperacute phase after stroke onset we have quantitatively imaged the trace element distribution in the stroke lesion territory after a 30-minute temporary large vessel occlusion stroke. Methods: A temporary large vessel occlusion stroke was generated with the middle cerebral artery occlusion (MCAO) mouse model (insertion of an occluding filament via the ECA) with reperfusion after 30 minutes (occluding filament withdrawn). C57BL/6 mice (5 per time point) were euthanized at 5-, 30-, 60-, 90-, and 120-minutes post reperfusion. Shams included all surgical procedures, however the occluding filament was withdrawn immediately after insertion. Heads were immediately frozen post mortem and sectioned for trace element mapping. Quantitative X-ray fluorescence microscopy was performed at the Stanford Synchrotron Radiation Lightsource. Results: Loss of potassium is observed throughout the affected tissue at all post-reperfusion time points, with most of the initial loss occurring in the 30-minutes prior to reperfusion. Loss of essential zinc began to be observed 1-hour post reperfusion. No significant elevations in chlorine or calcium were observed during the early hyperacute phase. At subsequent post reperfusion time points the lesion (as defined by diminished potassium) grew steadily for 90-minutes. After 90-minutes post reperfusion some lesions demonstrated a distinct pattern consistent with a central infarct core surrounded by an ischemic penumbra. Conclusions: At all early hyperacute time points the stroke lesion demonstrated on-going potassium dysregulation, despite reperfusion. The loss of potassium was a bulk phenomenon in the tissue. Potassium is essential for maintenance of neuronal membrane potential and therefore function. Restoration of normal blood flow is insufficient to protect the brain from the enduring reduction in vital potassium levels or expansion of the region of ion dysregulation. The lack of available potassium within the affected tissue may hinder recovering neuronal cells from restoring action potentials, even after tissue perfusion is restored.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.032
GPT teacher head0.279
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueStroke→Same topicNeurological Disease Mechanisms and Treatments→French-language works237,207→