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Record W2233927101 · doi:10.2131/jts.41.123

Paraphenylene diamine exacerbates platelet aggregation and thrombus formation in response to a low dose of collagen

2016· letter· en· W2233927101 on OpenAlexaff
Younes Zaid, Fatimazahra Marhoume, Nezha Senhaji, Kevin Kojok, Hicham Boufous, Abdallah Naya, Mounia Oudghiri, Youssef Darif, Norddine Habti, S. Zouine, Abderahmane Chait, Abdellah Bagri

Bibliographic record

VenueThe Journal of Toxicological Sciences · 2016
Typeletter
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsThrombusPlateletPlatelet aggregationIn vivoIn vitroPlatelet activationPharmacologyChemistryMedicineInternal medicineBiochemistryBiology

Abstract

fetched live from OpenAlex

Paraphenylene daimine (PPD) is an aromatic amine that is widely used in several industrial products; however, its toxicity has been reported in several cases of cardiac arrests. As platelets play a key role in cardiovascular diseases, we aimed to determine the impact of PPD in vitro and in vivo on platelet function. Our findings demonstrated that platelet activation and aggregation were strongly enhanced by PPD. Treatment with PPD primed human platelets that became more reactive in response to low doses of collagen. Furthermore, PPD exacerbated thrombus formation in rats in comparison with those untreated. Our results suggest that PPD is an important platelet primer predisposing platelets to promote thrombus formation in response to vascular injury. This should prompt the authorities to consider controlling the marketing of this product.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.563
Threshold uncertainty score0.234

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.292
Teacher spread0.258 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations4
Published2016
Admission routes1
Has abstractyes

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