Specific Recognition and Cleavage of Galectin-3 by Leishmania major through Species-specific Polygalactose Epitope
Bibliographic record
Abstract
Lipophosphoglycan is a major surface molecule of Leishmania, protozoa parasites, which are the causative agents of leishmaniasis, a disease that annually afflicts millions of people worldwide. The oligosaccharide structures of lipophosphoglycan varies among species, and epitopes of these species-specific oligosaccharides are suggested to be implicated in the interaction of Leishmania with macrophages as well as species-specific tissue tropism observed in leishmaniasis. The recognition of the species-specific variation of oligosaccharides is likely to be mediated by host carbohydrate-binding proteins, lectins, but the identities of the lectins remain elusive. Galectin-3 is a mammalian soluble beta-galactoside-binding lectin and is expressed in macrophages, dendritic cells, and keratinocytes, as well as fibroblasts, all of which are present in the site of Leishmania infection. In this paper, we found that galectin-3 binds to lipophosphoglycan of Leishmania major but not to those of Leishmania donovani through L. major-specific polygalactose epitopes. Association of galectin-3 with L. major led to the cleavage of galectin-3, resulting in truncated galectin-3 containing the C-terminal lectin domain but lacking the N-terminal domain implicated in lectin oligomerization. This cleavage was inhibited by the galectin-3 antagonist lactose, as well as 1,10-ortho-phenanthroline, suggesting that galectin-3 is cleaved by zinc metalloproteases after its binding to lipophosphoglycans. The modulation of various innate immunity reactions by galectin-3 is affected by its oligomerization; therefore, we propose the L. major-specific truncation of galectin-3 may contribute to the species-specific immune responses induced by Leishmania.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".