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Record W3173409894 · doi:10.1161/str.48.suppl_1.wp188

Abstract WP188: A Damage-Associated Molecular Pattern (DAMP) and Neutrophil Count are Associated with Plasma MMMP-9 Concentration After Acute Ischemic Stroke

2017· article· en· W3173409894 on OpenAlexaff
Ayush Batra, Zoe Wolcott, Ly Pham, Riley Chad Hales, W. Taylor Kimberly

Bibliographic record

VenueStroke · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicS100 Proteins and Annexins
Canadian institutionsKimberly-Clark (Canada)
Fundersnot available
KeywordsMedicineStroke (engine)Internal medicineInflammationIschemiaBrain ischemiaGastroenterologyAbsolute neutrophil countImmunologyChemotherapy

Abstract

fetched live from OpenAlex

Introduction/Hypothesis: The sterile inflammatory response involves activation of the immune system in the absence of infection following trauma, ischemia, or toxins. Matrix metalloproteinase-9 (MMP-9) is a neuro-inflammatory zinc metalloproteinase implicated in secondary injury after acute ischemic stroke. In order to determine whether MMP-9 was associated with a sterile inflammatory response, we examined the association between circulating MMP-9 and extracellular ATP [a marker of a damage-associated molecular pattern (DAMP)] and acute neutrophil count. Methods: We measured plasma MMP-9 and ATP levels in 338 patients who presented to two institutions with acute ischemic stroke and were enrolled in the Specialized Program of Translational Research in Acute Stroke (SPOTRIAS) study. Plasma samples and admission leukocyte subsets were collected at 7.0 ± 3.0 hours and 47.7 ± 7.3 hours from stroke onset. ATP was measured using a liquid chromatography-tandem mass spectrometry metabolomics assay. MMP-9 levels were measured by ELISA using a commercially available assay. Results: 338 acute stroke patients were available for analysis. MMP-9 was associated with plasma ATP on admission (Pearson r = 0.24, P<0.0001) and at 48 hours (Pearson r = 0.21, P = 0.0028). MMP-9 levels were also associated with total leukocyte count on admission (Pearson r=0.32, P<0.0001) and at 48 hours (Pearson r=0.39, P<0.0001). Absolute neutrophil counts were the only leukocyte subsets to be associated with MMP-9 on both admission (Pearson r=0.31, P<0.001) and at 48 hours (Pearson r=0.34, P<0.0001). Conclusions: MMP-9 is associated with markers of the sterile inflammatory response, including circulating plasma ATP levels and absolute neutrophil count. In vitro studies have demonstrated that an initial rise in extracellular ATP is associated with increased neutrophil-mediated MMP-9 release. These findings suggest that ATP may be functioning as a DAMP in response to acute ischemia, and is associated with MMP-9 acutely in patients. This study marks the first clinical cohort to begin to characterize determinants of the sterile inflammatory response in acute ischemic stroke.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.006
GPT teacher head0.223
Teacher spread0.217 · 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
Published2017
Admission routes1
Has abstractyes

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