Human Umbilical Cord Perivascular Cells Improve Rat Hepatocyte Function <i>Ex Vivo</i>
Bibliographic record
Abstract
Hepatocyte functionality and survival decrease rapidly in culture, and both can be improved using bone marrow-derived mesenchymal stromal cells (MSCs). We have previously described an alternative, more plentiful source of MSCs coming from the perivascular area of the umbilical cord, human umbilical cord perivascular cells (HUCPVCs). Our objective was therefore to ascertain whether HUCPVCs could serve as hepatocyte stromal cells ex vivo. For this purpose, rat hepatocytes were cocultured in contact with HUCPVCs (contact coculture). Also, HUCPVCs were cocultured separated from hepatocytes with a semipermeable membrane (noncontact coculture) to assess soluble factor interactions. Next, an HUCPVC-conditioned medium (CM) was used to investigate the possibility of HUCPVC-free support, while flash-frozen HUCPVCs were employed to investigate the effects of nonsoluble interactions. In all experiments, medium samples were taken daily to assess the production of albumin. Also, at certain days, the levels of cytochrome P450 (CYP) activity and urea secretion were tested. RNA extraction was performed at the end of experiments. Our results show that HUCPVCs in contact and noncontact cocultures with hepatocytes improve albumin gene expression and secretion compared to monoculture. Flash-frozen HUCPVCs had a late improvement in albumin secretion, while CM improved it for a short period. Ureagenesis maintenance was improved by contact coculture and flash-frozen HUCPVCs. CYP activity was significantly increased in the presence of flash-frozen HUCPVCs and in noncontact cocultures. We conclude that HUCPVCs can act as stromal cells for rat hepatocytes, and that soluble and nonsoluble factors induce differential effects on hepatocytes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".