Effect of Tumor Necrosis Factor Alpha Dose and Exposure Time on Tumor Necrosis Factor-Induced Gene-6 Activation by Neonatal and Adult Mesenchymal Stromal Cells
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Bibliographic record
Abstract
Tumor necrosis factor alpha (TNF-α) induced protein 6 is a major anti-inflammatory mediator released by activated mesenchymal stromal cells (MSCs). Neonatal MSCs are considered more metabolically active than cells derived from adult tissues, and potentially less heterogeneous. We hypothesized that a TNF-α-activated neonatal MSC population [human umbilical cord perivascular cells (HUCPVCs)] would show an enhanced level of TSG-6 activation compared with adult bone marrow MSCs (BMMSCs). Thus, we stimulated HUCPVCs, and both human BMMSCs (hBMMSCs) and mouse BMMSCs (mBMMSCs) with 1, 10, 50, and 100 ng/mL of recombinant TNF-α over various exposure times. Supernatant, and total RNA, of the cells were collected for measurement of both TSG-6 RNA expression, and secreted TSG-6 protein. To compare gene levels, quantification was done by normalizing the expression levels of TSG-6 to the geometric mean of the three most stable reference genes, out of a cohort of 30 tested genes, using the Pfaffl method. We found that HUCPVCs exhibited both an enhanced and more rapid response to low dose (1 ng/mL) TNF-α exposure resulting in ∼11.5-fold increase in TSG-6 expression within the first 30 min. In contrast, hBMMSCs showed 2-fold increase by 1 h that increased to 9.5-fold with a higher (50 ng/mL) TNF-α exposure for the same time. mBMMSCs showed a two-fold increase after 24 h that was independent of TNF-α concentration. Thus, although TSG-6 expression level varied among donors, both hMSC populations exhibited enhanced TSG-6 upregulation, upon TNF-α stimulation, compared with mBMMSCs. In conclusion, HUCPVCs showed higher sensitivity, and a prompter response to TNF-α stimulation compared with hBMMSCs. Thus, neonatal MSCs may be a stronger candidate population than those derived from adult bone marrow to treat inflammatory diseases.
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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) | 0.001 | 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 it