PT577. Distribution of Human Umbilical Cord Blood-derived Mesenchymal Stem Cells (hUCB-MSCs) in the Alzheimer’s Disease Transgenic Mouse after a Single Intravenous Injection
Bibliographic record
Abstract
Abstract Backgrounds: The aim of this study was to track the migration of human umbilical cord blood-derived mesenchymal stem cells (hUCB-MSCs) administered via a single intravenous injection and to observe the consequential therapeutic effects in a transgenic Alzheimer’s disease (AD) mouse model. Methods: 10-month-old APP/PS1 mice received a total injection of 1 × 10^6 cells through the lateral tail vein and were sacrificed 1, 4, and 7 days after administration. Results: Based upon immunohistochemical analysis, hUCB-MSCs were not detected in the brain for each time point. Instead, most of the injected MSCs were found to be distributed in the lung, heart, and liver. In terms of the molecular effects, statistically significant differences in the amyloid beta protein, Neprilysin (NEP), and SOX2 levels were not observed among the groups. Conclusion: Our study showed that a single dose of 1X10^6 hUCB-MSCs injected intravenously into AD transgenic mice resulted in neither delivery into the brain nor generation of therapeutic benefits via paracrine activity. In order to utilize the intravenous route as an effective delivery route for AD stem cell therapy, it will be crucial to perform additional studies on how to increase the permeability of the BBB and how to decrease the entrapment of cells in organs such as the lung and liver.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".