The VEGF‐Mediated Cytoprotective Ability of MIF‐Licensed Mesenchymal Stromal Cells in House Dust Mite‐Induced Epithelial Damage
Bibliographic record
Abstract
ABSTRACT Enhancing mesenchymal stromal cell (MSC) therapeutic efficacy through licensing with proinflammatory cytokines is now well established. We have previously shown that macrophage migration inhibitory factor (MIF)‐licensed MSCs exerted significantly enhanced therapeutic efficacy in reducing inflammation in house dust mite (HDM)‐driven allergic asthma. Soluble mediators released into the MSC secretome boast cytoprotective properties equal to those associated with the cell itself. In asthma, epithelial barrier damage caused by the inhalation of allergens like HDM drives goblet cell hyperplasia. Vascular endothelial growth factor (VEGF) plays a pivotal role in the repair and maintenance of airway epithelial integrity. Human bone marrow‐derived MSCs expressed the MIF receptors CD74, CXCR2, and CXCR4. Endogenous MIF from high MIF expressing CATT 7 bone marrow‐derived macrophages increased MSC production of VEGF through the MIF CXCR4 chemokine receptor, where preincubation with CXCR4 inhibitor mitigated this effect. CATT 7 ‐MIF licensed MSC conditioned media containing increased levels of VEGF significantly enhanced bronchial epithelial wound healing via migration and proliferation in vitro. Blocking VEGFR2 or the use of mitomycin C abrogated this effect. Furthermore, CATT 7 ‐MIF MSC CM significantly decreased goblet cell hyperplasia after the HDM challenge in vivo. This was confirmed to be VEGF‐dependent, as the use of anti‐human VEGF neutralising antibody abrogated this effect. Overall, this study highlights that MIF‐licenced MSCs show enhanced production of VEGF, which has the capacity to repair the lung epithelium.
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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) | 0.001 | 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".