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Record W2180955420 · doi:10.1161/atvb.35.suppl_1.571

Abstract 571: Atherogenic Macrophages Transfer microRNA-containing Exosomes to Naïve Cells and Promote Macrophage Migration

2015· article· en· W2180955420 on OpenAlexaff
My-Anh Nguyen, Denuja Karunakaran, Katey J. Rayner

Bibliographic record

VenueArteriosclerosis Thrombosis and Vascular Biology · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMicrovesiclesCell biologymicroRNAMacrophageBiologyImmune systemSecretionInflammationExosomeTransfectionCell cultureImmunologyGeneIn vitroBiochemistryGenetics

Abstract

fetched live from OpenAlex

Atherosclerosis, a maladaptive inflammatory disease, is driven by the interplay between excess cholesterol accumulation in the vessel wall and the immune system. Macrophages are fundamental to the propagation of atherosclerosis due to their capacity to engulf modified lipoproteins and induce a pro-inflammatory state. Macrophages and other immune cells can secrete miRNAs in exosomes as a form of extracellular communication during inflammation and infection. miRNAs are small noncoding RNAs that post-transcriptionally regulate gene expression by degradation or translational inhibition of target mRNAs and can repress gene expression in recipient cells when transferred via exosomes or other vesicles. Here, we hypothesize that atherogenic macrophages secrete miRNAs in exosomes to mediate cell-cell communication, which regulates the atherogenic response. Results: We examined the miRNA expression profile of exosomes from control and cholesterol-loaded (oxLDL-treated) mouse macrophages. Among the 88 differentially expressed miRNAs, 68 were down-regulated whereas 20 were up-regulated in exosomes isolated from cholesterol-loaded macrophages relative to control. The enrichment of several miRNAs such as miR-146a, miR-128, miR-185 and miR-503 in exosomes from atherogenic macrophages was confirmed by qPCR. Bioinformatic pathway analysis suggests that atherogenic exosomal miRNAs regulate cell migration and adhesion pathways via targeting the 3’UTR of migration/adhesion genes (i.e. integrin α3, VE-cadherin, CXCR4). Interestingly, live cell imaging demonstrated that fluorescent-labeled exosomes secreted from control or oxLDL-loaded macrophages were internalized by naïve macrophages and exogenous miRNA (from C.elegans) can transfer from normal/atherogenic macrophage exosomes to naïve cells. Further, naïve macrophages treated with extracellular components from atherogenic but not control macrophages promoted the migration of naïve cells towards a chemokine stimulus (1.5-fold increase in migration relative to control). Thus, miRNAs secreted from atherogenic macrophages may promote atherosclerosis by regulating macrophage migration in the vessel wall and we are now testing the function of these exo-miRNAs in vitro and in vivo.

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 score0.008

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.027
GPT teacher head0.269
Teacher spread0.242 · 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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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