Long-term follow-up after non-myeloablative transplant of bone and marrow in BXSB mice
Bibliographic record
Abstract
We present long-term outcomes of BXSB mice after non-myeloablative bone marrow transplants using major histocompatability complex (MHC)-matched cells. Groups differed in sources of donor lymphocytes or mesenchymal stromal cells (MSC). Unfractionated marrow cells from green fluorescent protein (GFP) transgenic (Tg) mice (BMT group) or from RAG1-/- B6 mice (RAG group) were injected intravenously (i.v.) into irradiated (550 cGy) hosts. As a source of mesenchymal cells, bone chips from GFP-Tg were injected intraperitoneally alone (MSC group) or along with i.v. bone marrow cells (BMT + MSC group). Controls were untreated mice (UnTx) or mice exposed to radiation only (Rad Cont). At 62 weeks post-transplant, surviving mice were harvested for histopathology, flow cytometry and real time polymerase chain reaction (RT-PCR). The mice from BMT + MSC group had the best outcomes for survival rates (71.4% vs. 43.8%), renal scores (2.9% vs. 28.8% glomerular sclerosis) and percent splenic monocytes (4.2 vs. 11.3%) compared with mice from Rad Cont. Improvement in RAG and BMT groups was less prominent but were comparable with one another. Although MSC alone were not sufficient to control the renal pathology, it limited the expansion of CD4(-)CD8(-) T cell populations without a change in Foxp3 expression. The results suggest the importance of the innate immune system in disease pathogenesis and a role for MSC in immunomodulation.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".