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Record W2084242431 · doi:10.1002/ana.22065

Reciprocal Th1 and Th17 regulation by mesenchymal stem cells: Implication for multiple sclerosis

2010· article· en· W2084242431 on OpenAlexafffund
Peter J. Darlington, Marie‐Noëlle Boivin, Christel Renoux, Moïra François, Jacques Galipeau, Mark S. Freedman, Harold Atkins, Jeffrey A. Cohen, Luis A. Solchaga, Amit Bar‐Or

Bibliographic record

VenueAnnals of Neurology · 2010
Typearticle
Languageen
FieldMedicine
TopicMesenchymal stem cell research
Canadian institutionsOttawa HospitalMcGill UniversityJewish General HospitalMontreal Neurological Institute and Hospital
FundersNational Cancer InstituteCanadian Institutes of Health ResearchChinese Academy of Agricultural Sciences
KeywordsMesenchymal stem cellMultiple sclerosisProinflammatory cytokineImmune systemImmunologyInterleukin 17CytokineBone marrowMedicineBiologyCancer researchInflammationCell biology

Abstract

fetched live from OpenAlex

Human mesenchymal stem cells (hMSCs) are being considered for clinical trials of multiple sclerosis (MS). We examined the effects of adult bone marrow-derived hMSCs on responses of primary human Th1, Th17, and Th1/17 double-expressing T-cell subsets, all implicated in MS. As expected, soluble products from hMSCs inhibited Th1 responses; however, Th17 responses were increased. Secretion of interleukin (IL)-10, considered anti-inflammatory, was decreased. Pretreating hMSCs with the proinflammatory cytokine IL-1β accentuated these effects, and caused decreases in the Th1/17 subset. These findings underscore the importance of further preclinical work and immune-monitoring to define hMSC effects on disease-relevant immune responses under variable conditions.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.121
Threshold uncertainty score0.419

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.145
GPT teacher head0.353
Teacher spread0.208 · 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

Citations79
Published2010
Admission routes2
Has abstractyes

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