Hyponatremia unleashes neutrophil extracellular traps elevating life-threatening pulmonary embolism risk
Bibliographic record
Abstract
Neutrophil extracellular traps (NETs), essential for controlling infections, can induce various pathologies when dysregulated. Known triggers for infection-independent NETs release exist, yet a comprehensive understanding of the conditions prompting such responses is lacking. In this study, we identify hyponatremia as an independent inducer of NETs release, a common clinical condition that disrupts sodium/calcium exchange within neutrophils. This disruption leads to an excess of intracellular calcium, subsequent elevation of reactive oxygen species (ROS), and the citrullination of histone H3, culminating in the activation of NETs-release pathways. Notably, under hyponatremic conditions, this mechanism is exacerbated during infectious states, leading to the deposition of NETs in the lungs and increasing the risk of life-threatening pulmonary embolism. Our findings underscore the critical role of sodium and calcium homeostasis in neutrophil functionality and provide insights into the pathogenesis of hyponatremia-associated diseases, highlighting potential therapeutic interventions targeting NETs dynamics.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".