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Abstract 17836: The Regenerative Capacity of Explant-derived Cardiac Stem Cells Inversely Correlates With Patient Risk for Future Cardiac Events

2015· article· en· W2772341542 on OpenAlexaff
Audrey E. Mayfield, Megan J. Fitzpatrick, Nicholas Latham, Everad L. Tilokee, Melanie Villanueva, Seth Mount, Darryl R. Davis

Bibliographic record

VenueCirculation · 2015
Typearticle
Languageen
FieldMedicine
TopicTissue Engineering and Regenerative Medicine
Canadian institutionsOttawa Heart Institute
Fundersnot available
KeywordsMedicineMyocardial infarctionEjection fractionExplant cultureStem cellInternal medicineIn vitroCardiologyExosomeAndrologyEndocrinologyMicrovesiclesHeart failureCell biologyGeneBiochemistry

Abstract

fetched live from OpenAlex

Background: Although recent trials have demonstrated that cardiac-derived cell products repair damaged myocardium, the influence of age and medical co-morbidities is unknown. Therefore we investigated the effect of medical comorbidities on the functional activity of human explant-derived cardiac stem cells (EDCs). Methods/Results: Human EDCs were cultured from atrial appendages obtained during cardiac surgery. The Long Term Stratification model (LTS) was chosen as the best means of discriminating between patients with few or extensive comorbidities. Increasing LTS score demonstrated a moderate negative correlation with: 1) EDC conditioned media HUVEC tubule formation (R 2 =0.53; r=-4±1, p=0.003), 2) transwell recruitment of circulating angiogenic cells (R 2 =0.48; r=-15±5, p=0.016), 3) decreased echocardiographic ejection fraction (R 2 =0.64, r=-0.7±0.2, p=0.003) and increasing scar burden (R 2 =0.59, r=-0.5±0.2, p=0.04) 3 weeks after myocardial injection of EDCs into a SCID mouse model of myocardial infarction. These effects may be attributable to LTS score dependent decreases in SDF-1 (R 2 =0.33; r=-0.2±0.1, p=0.02) or exosome (R 2 =0.59; r=-2.4±0.8X10 7 , p=0.02) content within conditioned media. Interestingly, the most abundant cytokine in EDC conditioned media (IL-6) demonstrated a positive correlation with increasing LTS scores (R 2 =0.33, r=1.2±0.5, p=0.03). Lentiviral mediated knock down of IL-6 (IL-6KD) by EDCs suggests that IL-6 supports therapeutic regeneration as intra-myocardial injection of IL-6 KD EDCs from low (<3) and high (>5) LTS score patients reduced improvements in ejection fraction by 1.4±0.1 fold (p≤0.05) while increasing scar burden by 1.3±0.1 fold (p≤0.05). Immunohistochemistry demonstrated that IL-6KD reduced newly generated BrdU+ myocytes (p=0.03 vs. scramble treated EDCs) while promoting the persistence of maladaptive myofibroblasts (p=0.01 vs. scramble treated EDCs). Conclusions: The regenerative performance of the earliest cell population cultured from human tissue declines with accumulating medical co-morbidities. This effect is associated with diminished production of pro-cardiogenic cytokines and exosomes while IL-6 plays a novel pivotal role in EDC-mediated repair of damaged myocardium.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0080.001

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 head0.029
GPT teacher head0.226
Teacher spread0.197 · 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 designObservational
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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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