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Record W1570030951 · doi:10.1002/nbm.1735

MRI studies of cryoinjury infarction in pig hearts: ii. Effects of intrapericardial delivery of adipose‐derived stem cells (ADSC) embedded in agarose gel

2011· article· en· W1570030951 on OpenAlexaff
Patricia Gervai, J. Sun, M. Głogowski, Eugene Gussakovsky, V.V. Kupriyanov

Bibliographic record

VenueNMR in Biomedicine · 2011
Typearticle
Languageen
FieldMedicine
TopicTissue Engineering and Regenerative Medicine
Canadian institutionsNational Research Council Institute for BiodiagnosticsUniversity of Manitoba
Fundersnot available
KeywordsAgaroseAdipose tissueIn vivoChemistryBolus (digestion)Stem cellStainingInfarctionMagnetic resonance imagingPathologyNuclear medicineMedicineMyocardial infarctionAnatomyInternal medicineBiologyChromatographyRadiologyBiochemistry

Abstract

fetched live from OpenAlex

The purpose was to assess effects of intrapericardially deposited adipose-derived stem cells (ADSC) as a source of angiogenic factors on cryoinjury infarction. To enhance this effect and reduce incorporation of ADSC into tissue, the cells were immobilized in agarose gel patches transplanted onto cryoinjured epicardium. In domestic pigs (15-20 kg) the left ventricular (LV) anterior wall of exposed hearts was cryoinjured using aluminum rod (Φ=25 mm) cooled in liquid nitrogen. Sterilized circular patches made of agarose gel were placed in a nylon bag and sutured to cryoinjured epicardium. In 4 pigs, the patches contained 650,000 human ADSCs; in control animals patches were cell-free (n=2) or no patches were implanted (n=2). Cine and T(1)-weighted MRI was performed in vivo weekly (4 weeks) after injury using a 3 T imager. Following baseline imaging, a double bolus of gadopentate dimeglumine was injected (GdDTPA, 0.05 and 0.15 mmol/kg) and serial short axis images were acquired. In the 4-week ADSC-treated group, 2 pigs were assessed using GdDTPA and 2 pigs were assessed using MnCl(2) (70 micromol/kg/14 min). In all pigs, 5 × 10(6) NIR fluorescent microspheres (15 µm FMS, 645/680 nm) were injected into the hearts, which were excised, sliced and examined with fluorescence imaging for FMS content. Triphenyltetrazolium chloride (TTC) staining was used to determine necrotic areas. Four-week infarction areas were hypokinetic and appeared hyperintensive on Gd-enhanced MR images, hypointensive on Mn-enhanced images, and were TTC-negative. First-pass Gd enhancement kinetics was faster in the infarct area of ADSC-treated hearts: 152 ± 89 vs 54 ± 5.3% of normal in control (p = 0.03). Accordingly, FMS fluorescence was much higher in the treated infarcts (144 ± 59% of remote, n = 4) relative to control hearts (58 ± 13%, n = 4), which correlated with 3 times higher microvascular density in treated hearts. LV wall thickening was partially restored by ADSC treatment. ADSC-containing patches attached to cryoinjured epicardium greatly improved perfusion and microvascular density of scar tissue.

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 score0.173
Threshold uncertainty score0.834

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.025
GPT teacher head0.275
Teacher spread0.249 · 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

Citations13
Published2011
Admission routes1
Has abstractyes

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