MétaCan
Menu
Back to cohort
Record W4409887204 · doi:10.1016/j.imlet.2025.107029

Platelet-derived microvesicles modulate cytokine and lipid mediator profiles in THP-1 monocytes and macrophages

2025· article· en· W4409887204 on OpenAlexafffund
Robert D Foulem, Maroua Mbarik, Jérémie A. Doiron, Marie‐France N Soucy, Dayana Toro-Ramirez, Florient Pecourt, David A. Barnett, Luc H. Boudreau, Marc E. Surette

Bibliographic record

VenueImmunology Letters · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsAtlantic Cancer Research InstituteUniversité de Moncton
FundersCanadian Institutes of Health ResearchNew Brunswick Innovation Foundation
KeywordsTHP1 cell lineMicrovesiclesLipid signalingMediatorCytokineChemistryMonocytePlateletCell biologyImmunologyBiologyInflammationmicroRNACell cultureBiochemistry

Abstract

fetched live from OpenAlex

• Platelet-derived microvesicles (PMVs) interact with THP-1 monocytes and differentiated macrophages M 0 and M 1 . • PMVs influence cytokine and lipid mediator production depending on the differentiation state of the recipient cells. • PMVs amplified pro-inflammatory cytokine production in M 1 macrophages, including IL-1β, MCP-1, IL-23 and IL-6. • PMVs may play a significant role in regulating the inflammatory environment and could contribute to chronic inflammatory diseases. Monocytes are circulating immune cells that migrate to inflamed tissues and differentiate into macrophages, where they play a dual role in regulating pro-inflammatory and pro-resolving responses through cytokine and lipid mediator secretion. Platelet-derived microvesicles (PMVs), released during platelet activation, infiltrate inflamed areas and interact with monocytes and macrophages, facilitating the transfer of bioactive contents. While these interactions have been observed, their functional consequences on monocyte/macrophage inflammatory profiles remain poorly understood. In this study, PMVs are shown to be internalized by human THP-1 monocytes. The interaction with THP-1 cells occurs rapidly, with 60 % of cells interacting with PMVs within one hour. When cells are differentiated to M 0 and M 1 macrophages, interactions with PMVs only peak after 24 h. Interaction of cells with PMVs resulted in an increased capacity to synthesize cyclooxygenase- and lipoxygenase-derived lipid mediators of inflammation, especially in M 1 cells. Cytokine production was also influenced in a cell-state-dependent manner. PMVs had no impact on undifferentiated THP-1 cells but enhanced the production of several cytokines in M 0 cells as well as IL-23 and IL-6 in M 1 macrophages. When stimulated with lipopolysaccharides, PMV-treated M 0 macrophages demonstrated elevated production of the anti-inflammatory cytokine IL-10, while M1 macrophages exhibited increased secretion of IL-1β, MCP-1, and IL-6, highlighting an effect on pro-inflammatory cytokine production. These findings reveal that PMVs selectively modulate the inflammatory cytokine and lipid mediator profiles of monocytes and macrophages depending on their differentiation state. This study underscores the role of PMVs as key players in intercellular communication and immune regulation, particularly in the context of inflammation.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.061
Threshold uncertainty score0.831

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.003
GPT teacher head0.216
Teacher spread0.212 · 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 teacher head, 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".

Quick stats

Citations4
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueImmunology LettersSame topicExtracellular vesicles in diseaseFrench-language works237,207