<i>Viscum album</i> agglutinin-I (VAA-I) increases cell surface expression of cytoskeletal proteins in apoptotic human neutrophils
Bibliographic record
Abstract
Viscum album agglutinin-I (VAA-I) is a plant lectin, which possesses anti-inflammatory properties, including the ability to induce neutrophil apoptosis by a mechanism that is not completely understood. Among the three actin-binding membrane-anchoring proteins ezrin/radixin/moesin (ERM), neutrophils are known to express ezrin and moesin. The behavior of these proteins in apoptotic neutrophils is not well established. In the present study, the expression and localization of ezrin and moesin by Western blot and immunofluorescence revealed a clear degradation and relocalization of both the proteins during VAA-I-induced apoptosis. Also, flow cytometry analysis revealed that VAA-I markedly and significantly induced the cell surface expression of ezrin and moesin and this was reversed when cells were pretreated with the Syk inhibitor piceatannol. The expression of ezrin and moesin on the cell surface of apoptotic neutrophils may represent a mechanism responsible for the appearance of autoantibodies directed against ERM proteins, which have been found in the serum of patients suffering from autoimmune diseases. Therefore, the ability of VAA-I to increase cell surface expression of cytoskeletal proteins in apoptotic neutrophils provides important insight into a possible toxic mechanism of this plant lectin and this has to be considered for its potential utilization for in vivo treatment.
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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 | 0.000 |
| 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".