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Adult Human Stem Cells Exert Therapeutic Effects To Repair Damaged Tissues in Xenograft Systems through Secretion of Trophic Factors Rather Than Direct Incorporation and Expansion.

2007· article· en· W2586093081 on OpenAlexaff
Claus S. Søndergaard, David A. Hess, Ivana Rosová, Sarah Hohm, Louisa Wirthlin, Ryan Lahey, Matt Lindsey, Jon Walker, Gerhard Bauer, Ping Zhou, Jan A. Nolta

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldMedicine
TopicTissue Engineering and Regenerative Medicine
Canadian institutionsRobarts Clinical Trials
Fundersnot available
KeywordsStem cellHoming (biology)TransplantationParacrine signallingBiologyImmunologyRegeneration (biology)Cell biologyAdult stem cellCancer researchPathologyCellular differentiationMedicineInternal medicineReceptor

Abstract

fetched live from OpenAlex

Abstract Human stem cells from adult sources have been shown, in our laboratory and others, to promote tissue repair. Different populations of stem cells have been shown to contribute to the regeneration of muscle, liver, heart, and vasculature, although the mechanisms by which they accomplish this are still not well understood. Stem cells are known, however, to secrete a variety of factors that have both paracrine and autocrine activities. One theory of tissue repair and regeneration by adult stem cells is that they home to hypoxic and/or inflamed areas, and release trophic factors that hasten endogenous repair. These secreted bioactive factors suppress the local immune system, enhance angiogenesis, inhibit fibrosis and apoptosis, and stimulate recruitment, retention, mitosis and differentiation of tissue-residing stem cells. These effects, which are referred to as trophic effects, are distinct from the direct differentiation of stem cells into the tissue to be regenerated. We tested human umbilical cord blood (UCB) derived CD34+, ALDHhiLin− and ALDHloLin− cells following transplantation to NOD/SCID or NOD/SCID/B2M null mice with experimentally induced acute myocardial infarction (AMI). We used combined nanoparticle labeling and whole organ fluorescent imaging to detect homing of the cells to multiple organs 48 hours post transplantation. Long term engraftment and the regenerative effect of cell treatment was assessed four weeks post transplant. There was superior homing of ALDHhiLin− cells to the site of injury, as compared to CD34+ or ALDHloLin− cells at 48 hours post transplantation. At four weeks post transplantation, ALDHhiLin− cells engrafted multiple organs, including the heart, liver and kidney, at higher frequencies than ALDHloLin− cells. We found no donor derived cardiomyocytes and only few endothelial cells of donor origin. However, there was a significant increase in the density of large caliber vessels in the central infarct zone of ALDHhiLin− cell-transplanted mice, as compared to PBS and ALDHhiLin− cell treated groups. Tissue staining in the damaged regions revealed that the transplanted human cells had undergone very few cell divisions after homing to the area of hypoxia or inflammation. It is important to note that, with over 300 mice now analyzed in tissue repair experiments in our group, no adult human stem cell-derived tumors have ever been observed, even though the mouse strains used have no capacity to reject the human cells. The paucity of human cells remaining in the tissue after repair suggest that the tissue improvements that were observed were not the result of generation of transplanted cell-derived endothelial cells or cardiac tissue, but suggest that cytokines secreted from transplanted cells potentiated angiogenic activity and tissue repair by the endogenous murine cells. Our data indicate that adult human stem cells do not become a significant part of the damaged tissue, but rapidly home to and persist only temporarily at a site of hypoxia or inflammation to exert significant trophic effects on tissue repair, and to enhance recovery of the vasculature.

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 score0.003
Threshold uncertainty score0.010

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)0.0030.001

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 head0.015
GPT teacher head0.261
Teacher spread0.245 · 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

Citations1
Published2007
Admission routes1
Has abstractyes

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