Effects of two mesenchymal cell populations on hepatocytes and lymphocytes
Bibliographic record
Abstract
The inflammatory response to liver injury plays an important role in the onset of liver fibrosis, which may ultimately lead to liver failure. The attenuation of inflammation and hepatocyte rescue are, therefore, of the utmost importance for recovery. Mesenchymal stromal cells (MSCs) from adult bone marrow have been shown to rescue hepatocyte function. Here we explore a more plentiful source of neonatal MSCs: human umbilical cord perivascular cells (HUCPVCs). We cocultured HUCPVCs or bone marrow-derived mesenchymal stromal cells (BM-MSCs) with rat hepatocytes or human peripheral blood mononuclear cells in order to identify their effects on hepatocyte functionality and the proliferation of phytohemagglutinin-stimulated peripheral blood mononuclear cells (phaPBMCs). The expression of hepatotrophic factors by both types of MSCs in the presence of hepatocytes and the functional implications of blocking putative MSC anti-inflammatory factors were compared. Both types of MSCs improved albumin secretion, ureagenesis, hepatospecific gene expression, cytochrome P450 (CYP) activity, and functional hepatocyte mass maintenance. However, although HUCPVCs had an improved effect on the maintenance of ureagenesis, BM-MSCs had a strong effect on hepatocyte CYP activity. Additionally, each MSC type differentially expressed putative hepatotrophic factors, whereas phaPBMC proliferation was significantly decreased. Indoleamine 2,3-dioxygenase (IDO) was the main immunosuppressive mechanism used by both types of MSCs, but HUCPVCs exhibited higher expression of programmed death 1 ligands. However, the functional significance of the difference in anti-inflammatory factor expression still remains to be elucidated. Thus, both MSC types can serve as hepatocyte stromal cells and mitigate inflammation with IDO, but they present differences in the manner in which they affect hepatocytes and in the expression of both hepatotrophic and anti-inflammatory factors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".