Xenotransplantation of human mesenchymal stem cells alters host gene expression following prolonged high fat feeding
Bibliographic record
Abstract
Background Initially identified as plastic‐adherent cells, human mesenchymal stem cells (hMSCs) are non‐hematopoietic stem cells which are capable of differentiating into a multitude of cell lineages. Over the past decade the number of clinical trials involving hMSCs has steadily increased, resulting in hMSCs being the most commonly used cells in tissue engineering and regenerative medicine. Known to preferentially home to sites of injury and inflammation, administered hMSCs have exhibited promotion of host tissue repair through donor cell engraftment, release of cell signaling factors, and transfer of healthy organelles. As such, enhanced hMSC engraftment to host tissues and improved therapeutic potential may be induced by a state of low‐grade inflammation. Here we induce low‐grade inflammation through excessive nutrient consumption, achieved through prolonged high fat feeding. Purpose To examine the impact of hMSC treatment on the liver tissue of mice following a prolonged high fat feeding regiment. Methods At 4 weeks of age, mice were placed on a high fat diet (60% kcal fat) for 20 weeks in order to elicit an obese phenotype. Following dietary manipulation, mice were randomly divided into two groups: hMSC treatment (HFM; n = 8) or saline control (HFS; n = 8). Mitochondrial metabolism, microarray gene expression profiling, and metabolomic profiling of host liver tissue were specifically highlighted for their important role in the obese phenotype. Results As a measure of mitochondrial metabolic activity, maximal complex I oxygen consumption (supported by the addition of ADP) was higher in HFM animals (p<0.05). The marker of mitochondrial abundance, citrate synthase, was also elevated following hMSC administration (p<0.05). Microarray gene expression profiling identified 226 genes with significant differential expression between groups ‐ fold change (±1.2) and p‐value (<0.01). Specific gene networks and pathway analysis commonly identified cellular signalling and actin cytoskeleton regulation as upregulated processes in HFM mice (p<0.01). Conclusions Our data indicate that xenogeneic hMSC treatment improves metabolic capacity of host liver and results in widespread host gene shifting. The upregulation of cell signaling and actin cytoskeleton regulation may provide mechanistic insight into how hMSCs impart their ability to migrate to areas of inflammation and transfer organelles to host tissues. Support or Funding Information This study was supported by NSERC (JS). This research was supported by PhD funding to CN from MitoCanada and Alberta Innovates – Health Solutions.
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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 | 0.001 |
| 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".