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Record W4406928643 · doi:10.1002/jsp2.70043

Explorative Study of Modulatory Effects of Notochordal Cell‐Derived Extracellular Vesicles on the <scp>IL</scp>‐1β‐Induced Catabolic Cascade in Nucleus Pulposus Cell Pellets and Explants

2025· article· en· W4406928643 on OpenAlexfundno aff
Josette C. van Maanen, Frances C. Bach, Joseph Snuggs, Keita Ito, Marca H. M. Wauben, Christine L. Le Maitre, Marianna A. Tryfonidou

Bibliographic record

VenueJOR Spine · 2025
Typearticle
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsnot available
FundersEuropean CommissionDutch Arthritis SocietyArthritis SocietyInternational Society for the Study of the Lumbar Spine
KeywordsCatabolismCell biologyChemistryAnabolismExtracellular matrixSecretionCellDifferential centrifugationCentrifugationBiochemistryBiologyMetabolism

Abstract

fetched live from OpenAlex

Background: Cell-free regenerative strategies, such as notochordal cell (NC)-derived extracellular vesicles (EVs), are an attractive alternative in developing new therapies for intervertebral disc (IVD) degeneration. NC-EVs have been reported to elicit matrix anabolic effects on nucleus pulposus cells from degenerated IVDs cultured under basal conditions. However, the degenerative process is exacerbated by pro-inflammatory cytokines contributing to the vicious degenerative cycle. Therefore, this study explores whether NC-EVs modulate interleukin (IL)-1β-mediated pro-inflammatory responses in the degenerating disc. Methods: This study utilized two IL-1β induced pro-catabolic culture models; a dog 3D nucleus pulposus (NP) cell pellet culture and a human patient-derived, ex vivo NP tissue culture system. Porcine NC-EVs were generated from NC-conditioned medium by differential centrifugation followed by size exclusion chromatography. Donor matched EV-depleted media were generated by overnight ultracentrifugation, whereafter the EV-depleted NCCM supernatant was subjected to size exclusion chromatography. To investigate whether observed effects were EV-associated, NC-EVs conditions were compared to EV-depleted controls in the absence and presence of IL-1β. Results: The size and concentration of NC-EVs were quantified by nanoparticle tracking analysis, which showed minimal donor variation and confirmed depletion of EVs in the EV-depleted media. In the IL-1β-induced catabolic cascade, the NC-EVs did not elicit anabolic effects at the matrix level nor did they rescue the pro-catabolic phenotype within dog pellets. Modification of the CCL2 secretion seemed to be context dependent in the human explants: where EVs treatment stimulated CCL2 secretion but in the presence of IL-1β this effect was counteracted. Secretion of IL-6 and C-X-C motif chemokine ligand 1 was significantly decreased in NC-EV + IL-1β vs. control+IL-1β but not compared to EV-depleted human explant controls. Altogether, this data provides evidence for a protective modulatory role of NC-EVs. Considering the homeostatic function EVs exert, inherently encompassing subtle biologic modifications, the current study may have lacked sufficient power to demonstrate statistical significance in a sample set with evident donor variation. Conclusions: NC-EVs may modulate the production of specific cytokines and chemokines in human degenerate explants when the key pro-inflammatory cytokine IL-1β is present. Implementation of the technical EV-depleted controls in further studies is essential to robustly demonstrate that these effects are EV-mediated and not associated with other secreted factors co-isolated during EV-isolation.

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 score0.001
Threshold uncertainty score0.002

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)0.0010.000

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 head0.271
Teacher spread0.252 · 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

Citations6
Published2025
Admission routes1
Has abstractyes

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