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Platelets as an innate defence mechanism against <i>Schistosoma mansoni</i> infections in mice

2003· article· en· W1607984408 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueParasite Immunology · 2003
Typearticle
Languageen
FieldImmunology and Microbiology
TopicParasites and Host Interactions
Canadian institutionsSt. Michael's Hospital
FundersBritish Heart FoundationWellcome Trust
KeywordsSchistosoma mansoniPlateletBiologyImmunologyImmune systemInnate immune systemIn vivoSchistosomaIn vitroSchistosomiasisAntiserumHelminthsAntibody

Abstract

fetched live from OpenAlex

The interaction between Schistosoma mansoni and platelets of non-immune mice has been studied in vivo and in vitro. A moderate thrombocytopaenia was observed in mice 2 days after they had been infected percutaneously with 200 cercariae. A rabbit anti-mouse platelet antiserum, 25 microL of which injected subcutaneously induced a nearly 900% reduction in blood platelet count 24 h later, was used to investigate the effects of severe thrombocytopaenia on S. mansoni infections. In replicate experiments worm burdens were significantly increased in mice that were thrombocytopaenic at the time of infection when compared with untreated mice. Induction of thrombocytopaenia on day 4 after infection had no effect on worm count. Platelets isolated from non-immune mice were shown to adhere to the surfaces of and kill mechanically transformed schistosomula in vitro. Platelets may thus be an innate mechanism of defence against schistosome infection, and the thrombocytopaenia that occurs during patent schistosome infections may be a strategy that helps secondarily incoming parasites evade this type of host defensiveness.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.371
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.005

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 head0.010
GPT teacher head0.272
Teacher spread0.262 · 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