Transplantation of Bioencapsulated Bone Marrow Stem Cells Improve Hepatic Regeneration and Survival of 90% Hepatectomized Rats: A Preliminary Report
Bibliographic record
Abstract
We transplanted bioencapsulated bone marrow stem cells intraperitoneally into 90% hepatectomized rats and found that this increases both the rates of hepatic regeneration and survival of the animals. Bone marrow cells isolated from Wistar rats were bioencapsulated using alginate-polylysine-alginate method. These bioencapsulated bone marrow cells were transplanted intraperitoneally into 90% hepatectomized syngeneic wistar rats. Control groups included 90% hepatectomized group receiving intraperitoneal injection of either empty microcapsules or free bone marrow cells. Unlike the control groups, transplantation of bioencapsulated bone marrow cells improved the survival of 90% hepatectomized rats, with an efficacy similar to that of bioencapsulated hepatocytes or free hepatocytes. These results suggest that syngeneic bioencapsulated bone marrow stem cells can increase the survival rates of 90% hepatectomized rats. We also discuss the potential for a new alternative to hepatocyte transplantation for cellular therapy of acute liver failure. In particular, bone marrow stem cells can be obtained from the same patient with no immunorejection, whereas in hepatocyte transplant, immunosuppressant will be needed to prevent immunorejection of the donor hepatocytes.
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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) | 0.001 | 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".