MétaCan
Menu
Back to cohort
Record W3045861583 · doi:10.1089/ten.tea.2020.0025

Effects of Conditioned Medium from Bone Marrow Cells on Human Umbilical Cord Perivascular Cells

2020· article· en· W3045861583 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

VenueTissue Engineering Part A · 2020
Typearticle
Languageen
FieldMedicine
TopicMesenchymal stem cell research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMesenchymal stem cellStromal cellUmbilical cordCord liningTissue engineeringBone marrowGrowth factorCell biologyCell cultureChemistryBiologyCellular differentiationAndrologyPathologyImmunologyMedicineBiomedical engineeringAdult stem cellBiochemistry

Abstract

fetched live from OpenAlex

Mesenchymal cells derived from human umbilical cord tissue are attracting increasing attention as a source for cell therapy. However, for applying the same in tissue engineering, it has been shown that the differentiation capacity of mesenchymal stromal cells (MSCs) is influenced by the tissue from which the cells are harvested. Thus, to explore the possibility of increasing the osteogenic capacity of MSCs derived from the perivascular tissue of the human umbilical cord (human umbilical cord perivascular cells, HUCPVCs), we cultured these cells using conditioned medium (CM) derived from cultures of human bone marrow-derived mesenchymal stromal cells (hBMMSCs). However, hBM-CM contains a wide variety of growth factors, the amounts and ratios of which are considered to vary with the cell culture stage. Thus, we aimed to evaluate the effects of hBM-CM derived from different stages of hBMMSC culture on the osteogenic capacity of HUCPVCs. The stages of hBMMSC culture were defined as follows: Stage 1 (mitogenic stage) represented the period from the start of hBMMSC culture to 70% cell confluence; Stage 2 (confluent stage) represented the period from 70% confluence to the initiation of calcified nodule formation; and Stage 3 (calcification stage) represented the period following the initiation of calcified nodule formation. An analysis of growth factors contained in the CM obtained at each stage by enzyme-linked immunosorbent assay showed that insulin-like growth factor 1 (IGF-1) was significantly elevated at Stage 2, whereas vascular endothelial growth factor (VEGF) was significantly elevated at Stage 3. HUCPVCs were cultured using the CM from each of the stages for 1, 2, or 3 weeks. RUNX2 expression was the most upregulated at week 1 and then downregulated in all the groups. The expression of collagen 1 was significantly elevated in Stage 2 HUCs at week 3. Alkaline phosphatase (ALP) activity, ALP, and alizarin staining were higher in Stage 2 HUCs and Stage 3 HUCs. The calcium content was the highest in Stage 2 HUCs. The calcium content of HUCPVC obtained by the method used in this study was six times higher than that reported in the previous study. Collectively, our results show that the CM obtained at Stage 2 was most effective in driving the osteogenic differentiation of HUCPVCs. Mesenchymal stromal cells (MSCs) derived from the perivascular tissue of umbilical cords are promising candidates for regenerative medicine. Because these are able to be differentiated into bone cells, cartilage cells, and adipocytes. The number of MSCs in perivascular tissue (HUCPVCs) is ∼1/300 but the number of HUCPVCs that differentiates into osteogenic cells is quite low. In order to promote osteogenic differentiation of HUCPVCs, we cultured HUCPVCs using conditioned medium collected from human bone marrow-derived mesenchymal stromal cells. Our study suggests that the use of conditioned medium can be effective on inducing osteogenic differentiation of HUCPVCs.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.030
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.001

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 head0.026
GPT teacher head0.285
Teacher spread0.259 · 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