MétaCan
Menu
Back to cohort
Record W2113477625 · doi:10.1086/344576

Opsonin‐Independent Phagocytosis: An Effector Mechanism against Acute Blood‐Stage<i>Plasmodium chabaudi</i>AS Infection

2002· article· en· W2113477625 on OpenAlexafffund
Zhong Su, Anny Fortin, Philippe Gros, Mary M. Stevenson

Bibliographic record

VenueThe Journal of Infectious Diseases · 2002
Typearticle
Languageen
FieldMedicine
TopicMalaria Research and Control
Canadian institutionsMcGill UniversityMcGill University Health CentreMontreal General Hospital
FundersCanadian Institutes of Health Research
KeywordsPlasmodium chabaudiPhagocytosisScavenger receptorOpsoninBiologyMannose receptorMacrophageImmunologyMicrobiologyInterferon gammaReceptorImmune systemParasitemiaPlasmodium falciparumMalariaIn vitroEndocrinology

Abstract

fetched live from OpenAlex

Opsonin-independent macrophage phagocytosis was investigated as a possible mechanism of controlling early blood-stage Plasmodium chabaudi AS infection. Early during infection, peritoneal macrophages from resistant C57BL/6 (B6) mice exhibited increased phagocytosis of parasitized red blood cells (pRBCs) and free merozoites, which was absent in mice with deficient interferon (IFN)-gamma production during infection, including susceptible A/J, interleukin (IL)-12 p40, and IFN-gamma gene knockout mice. IFN-gamma treatment of macrophages collected from B6 and A/J mice early during infection enhanced phagocytosis of pRBCs, but IL-10 treatment inhibited this function. In vitro and in vivo studies in which type I and II class A scavenger receptor-deficient mice and inhibitors of scavenger and mannose receptors were used revealed that scavenger receptors other than class A type I and II and mannose receptors may play a role in malaria parasite uptake. These results indicate that opsonin-independent phagocytosis contributes to the IFN-gamma-dependent control of acute blood-stage malaria infection.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.387
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.264
Teacher spread0.253 · 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.

Study designBench or experimental
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

Citations51
Published2002
Admission routes2
Has abstractyes

Explore more

Same venueThe Journal of Infectious DiseasesSame topicMalaria Research and ControlFrench-language works237,207