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Role of Galectin-3 in the Initial Control of Leishmania Infection

2014· review· en· W2090591649 on OpenAlexafffund
Sachiko Sato, Pampa Bhaumik, Guillaume St‐Pierre, Isabelle Pelletier

Bibliographic record

VenueCritical Reviews in Immunology · 2014
Typereview
Languageen
FieldImmunology and Microbiology
TopicGalectins and Cancer Biology
Canadian institutionsUniversité Laval
FundersNational Institute of General Medical SciencesCanadian Institutes of Health Research
KeywordsGalectinGlycanLeishmaniaGalectin-1BiologyInnate immune systemImmune systemAcquired immune systemGalectin-3Cell biologyImmunologyGlycoproteinParasite hostingGenetics

Abstract

fetched live from OpenAlex

Galectin-3 belongs to a family of galectins, evolutionarily conserved glycan binding proteins (lectins) that have recently attracted much attention as modulators in adaptive immune responses. Previously, galectins have been considered lectins that bind only to endogenous "self" glycans. Further, galectins are synthesized and stored in the cytosol, where there are virtually no glycan-containing proteins, raising doubts over the biological significance of their glycan binding capacity. As discussed in this review, with particular emphasis on the role of galectin-3 in the innate immune response against the protozoan parasite Leishmania, several recent studies have suggested that galectin-3 could recognize L. major-specific pathogen-associated molecular pattern and, in parallel, facilitate the infiltration of neutrophils to the infected sites that helps reduce the initial parasite burden once galectin-3 is released as a damage-associated molecular pattern. Thus, while further investigation is necessary, based on the current results, it could be proposed that galectin-3 can hinge two areas of the innate immune recognition system, DAMP and PAMP pathways in the early host responses against various pathogens.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.040
GPT teacher head0.369
Teacher spread0.329 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations34
Published2014
Admission routes2
Has abstractyes

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