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Extracellular Vesicles and Cellular Homeostasis

2025· review· en· W4408558908 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnual Review of Biochemistry · 2025
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsUniversity of Alberta
FundersNational Cancer Institute
KeywordsCell biologyHomeostasisCytoplasmIntracellularExtracellularBiologyFunction (biology)Cell signalingVesicleSignal transductionMembraneBiochemistry

Abstract

fetched live from OpenAlex

Extracellular vesicles (EVs) are secreted, membrane-enclosed particles that have been proposed to play a broad role in intercellular communication. Most often, EVs, by analogy to enveloped viruses, are suggested to fuse to or within a target cell to deliver a soluble signaling molecule into the cytoplasm. However, significant evidence supports an alternative model in which EVs are secreted to promote homeostasis. In this model, EVs are loaded with unwanted or toxic cargo, secreted upon cellular or organismal stress, and degraded by other cells. Here, we present evidence supporting this homeostatic EV model and discuss the general inefficiency of EV cargo delivery. While the homeostatic and viral delivery models for EV function are not mutually exclusive, we propose that much of the evidence presented is hard to reconcile with a broad role for EVs in cargo transfer as a means to promote intercellular communication.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.832
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
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 head0.010
GPT teacher head0.298
Teacher spread0.289 · 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