Platelet-Derived Microvesicles Modulate the Bioenergetic and Inflammatory Phenotype of Human Neutrophils 2192
Bibliographic record
Abstract
Abstract Description Platelets release microvesicles (PMVs) upon activation which retain platelet cargo, including functional mitochondria, and actively participate in intercellular communication. Neutrophils (PMN) play a vital role in the innate immune response and inflammation. Despite growing interest in the transfer of biological material between immune cells, the transfer of mitochondrial content from PMVs to PMN and its resulting effects remain unclear. This study aimed to address this gap in literature by investigating if the increase of mitochondria in PMN could delay cell death and prolong the inflammatory response. We show that PMV mitochondria were found associated with PMN, consequently increasing viability. PMVs induced an increase in ATP production, ETS state and mitochondrial reductase activity in the recipient cell. To confirm the implication of platelet-derived mitochondria in the observed changes of the PMN’s phenotype, PMVs were subjected to freeze-thaw cycles to generate dysfunctional mitochondria which did not affect the cellular respiration of PMN or the mitochondrial reductase activity. Interestingly, dysfunctional PMVs showed significantly more caspase-3 activity in PMN compared to fresh PMVs. Finally, we detected the transfer of active 12-lipoxygenase and cyclooxygenase-1 in the PMN, enzymes found specifically in PMVs. These findings suggest that PMV-derived mitochondria play a key role in enhancing the survival and inflammatory function of PMN in inflammatory conditions. Funding Sources Supported by Research New Brunswick and the Canadian Institutes of Health Research. Topic Categories Innate Immune Responses and Host Defense: Cellular Mechanisms (INC)
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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) | 0.002 | 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".