Bacterial neuraminidase‐mediated erythrocyte desialylation provokes cell surface aminophospholipid exposure
Bibliographic record
Abstract
BACKGROUND: Surface desialylation is associated with erythrocyte aging and mediates phagocytic recognition and clearance of senescent erythrocytes. Neuraminidases, a family of glycohydrolytic enzymes, cleave the glycosidic linkages between sialic acid and mucopolysaccharides and have previously been implicated in erythrocyte dysfunction associated with sepsis. Erythrocytes in septic patients further display a phenotype of accelerated eryptosis characterized by membrane phospholipid scrambling resulting in phosphatidylserine (PS) externalization. Herein, we examined the impact of artificial erythrocyte desialylation on eryptosis. METHODS: Using flow cytometry and/or fluorescence microscopy, we analyzed desialylation patterns and eryptotic alterations in erythrocytes exposed to Clostridium perfringens-derived neuraminidase. RESULTS: levels in a dose- and time-dependent manner. Neuraminidase treatment significantly reduced fluorescence-tagged agglutinin binding, an effect temporally preceding the increase in PS externalization. Neuraminidase-induced PS exposure was significantly curtailed by pretreatment with the pan-sialidase inhibitor N-acetyl-2,3-dehydro-2-deoxyneuraminic acid. Neuraminidase treatment further induced hemolysis but did not significantly impact erythrocyte volume, ceramide abundance, or the generation of reactive oxygen species. CONCLUSION: Collectively, our data reveal that alteration of erythrocyte sialylation status by bacterial neuraminidase favors eryptotic cell death, an effect potentially contributing to reduced erythrocyte lifespan and anemia in sepsis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
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.
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 teacher head, 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".