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Record W7133204951 · doi:10.3103/s0096392525601029

The Morphology of Erythrocytes Reveals Differences in the Mechanisms of Erythrocyte-Derived Extracellular Vesicle Formation

2025· article· en· W7133204951 on OpenAlexaff
E. Yu. Parshina, L. S. Frolova, G. V. Maximov

Bibliographic record

VenueMoscow University Biological Sciences Bulletin · 2025
Typearticle
Languageen
FieldMedicine
TopicErythrocyte Function and Pathophysiology
Canadian institutionsUniversity of British Columbia, Okanagan Campus
Fundersnot available
KeywordsSodium dodecyl sulfateExtracellularMorphology (biology)VesicleSodiumExtracellular vesicles

Abstract

fetched live from OpenAlex

Abstract Erythrocyte-derived extracellular vesicles (EDEVs) are a promising tool of targeted drug delivery, and the aim of this study was to compare several methods for obtaining EVs from erythrocytes in vitro. Scanning electron microscopy revealed that erythrocytes shed EVs under a number of certain treatments (calcium ionophore A23187, sodium dodecyl sulfate, lysophosphatidic acid, and incubation at 50°C). Differences in the morphology of erythrocytes subjected to conditions stimulating EDEV release indicate differences in the mechanisms of EDEV formation. Raman spectroscopy showed that EDEVs obtained by heat treatment may contain hemoglobin, while treatment with sodium dodecyl sulfate results in the formation of hemoglobin-free vesicles. The data obtained will allow for the targeted selection of EDEV production methods based on the required composition.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.732
Threshold uncertainty score0.499

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.032
GPT teacher head0.241
Teacher spread0.209 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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