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Record W2883177396 · doi:10.1089/scd.2017.0248

Human Umbilical Cord Perivascular Cells and Human Bone Marrow Mesenchymal Stromal Cells Transplanted Intramuscularly Respond to a Distant Source of Inflammation

2018· article· en· W2883177396 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

VenueStem Cells and Development · 2018
Typearticle
Languageen
FieldMedicine
TopicMesenchymal stem cell research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMesenchymal stem cellInflammationUmbilical cordBone marrowStromal cellBiologyImmunologyTumor necrosis factor alphaCancer researchCell biology

Abstract

fetched live from OpenAlex

Intravenously administered mesenchymal stromal cells (MSCs) are rapidly entrapped in the lungs, where they display an anti-inflammatory phenotype. Intramuscular (IM) delivery provides an increased MSC dwell-time, which could result in a sustained modulation of an inflammatory milieu. We studied the therapeutic effects of IM delivered MSCs to treat a distant (contralateral) inflammation, and compared the efficacy of neonatal (umbilical cord) and adult bone marrow MSCs (BMMSCs). Inflammation decreased over 48 h, but neonatal cells showed an earlier response than BMMSCs. Tumor necrosis factor-induced gene-6 (TSG-6) was released at the site of MSC delivery, while neutrophil infiltration was abrogated and inflammation reduced at the contralateral site. MSCs did not distribute to the organs or to the site of inflammation. Thus, IM delivery presents a promising alternative for the treatment of inflammation, and neonatal MSCs may represent a stronger candidate than those derived from adult BM to treat inflammatory diseases.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.022
GPT teacher head0.275
Teacher spread0.253 · 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