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Functional Platelet‐derived Mitochondria Induce the Release of Neutrophil Microparticles

2020· article· en· W3016687501 on OpenAlexaffabout
Luc H. Boudreau, Robert D Foulem, Jacob L. Léger

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsNeutrophil extracellular trapsMitochondrionInflammationImmune systemExtracellularPlateletImmunologyCell biologyFlow cytometryMitochondrial ROSBiologyChemistry

Abstract

fetched live from OpenAlex

INTRODUCTION Inflammation is an essential process of the host defense against infections, illness, or tissue injuries. However, unregulated inflammation has been associated with chronic inflammatory auto‐immune diseases, such as rheumatoid arthritis, multiple sclerosis and atherosclerosis. Polymorphonuclear neutrophils (PMNL) are amongst the immune cells involved in the acute inflammatory response used to fight bacterial infections. Once activated, PMNL release inflammatory mediators, enzymes and large quantities of microparticles in the extracellular milieu to recruit various immune cells required to fight the invading pathogens. Recent evidence also shows that platelets (PLTs), well known for their coagulation proprieties, are also implicated in the body’s inflammatory response. Interestingly, activated PLTs can release fully functional mitochondria in the extracellular milieu. Known as the powerhouse of the cell, the mitochondria share similar characteristics with bacteria. Therefore, we hypothesize that PLTs‐derived mitochondria present in the extracellular milieu, acting in a similar way as bacteria, induce a sterile inflammatory response that involves the PMNL. OBJECTIVES The main objective of this study is to investigate the sterile inflammatory response of PMNL caused by the exposure of PLTs‐derived extracellular mitochondria. METHODS Blood was obtained from healthy consenting donors, then PMNL and PLTs‐derived mitochondria were isolated and purified. Following the co‐incubation of PMNL with various physiological doses of PLTs‐derived mitochondria, a characterization of the interaction between PMNL and PLTs‐derived mitochondria and an investigation of the inflammatory proprieties of PMNL was performed using flow cytometry, confocal microscopy, and high‐resolution respirometry. RESULTS Our data demonstrates that PLTs‐derived mitochondria associate with PMNL as quickly as 2 hours. This results in an increase of the PMNL intracellular calcium content and a 2.47‐fold mitochondrial‐dependent increase in oxygen consumption. Data also shows that PLTs‐derived mitochondria significantly induce, in a dose‐dependent manner, the release of PMNL microparticles. CONCLUSIONS This study provides a new insight into the role of PLTs‐derived mitochondria in the context of sterile inflammation. Specifically, the characterization of its interaction with PMNL reveals a novel modulator in the fundamental inflammatory response. The knowledge gained from this study provides insight into the mechanism of sterile inflammation in auto‐immune diseases. Support or Funding Information Canadian Institutes of Health Research, New Brunswick Health Research Foundation, New Brunswick Innovation Foundation

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.019
GPT teacher head0.222
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2020
Admission routes2
Has abstractyes

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