Bone marrow-derived mesenchymal stem cells ameliorate nephrosis through repair of impaired podocytes
Bibliographic record
Abstract
Purpose The purpose of this study was to investigate the effects of bone marrow-derived mesenchymal stem cells (BMSC) on podocytes of puromycin amino nuclear glucoside (PAN) -induced nephrosis in mice. Methods Mice were randomly divided into Control, PAN and BMSC groups. Mice were injected with PAN (0.5 mg/g weight) via the tail vein. The 24-h urinary protein was obtained after modelling, and urinary protein excretion was determined. The blood and kidney specimens were isolated after the tenth day of modelling. Blood samples were collected for measuring serum creatinine (SCr) and blood urea nitrogen (BUN). A sample of kidney was taken for observing pathological changes through hematoxylin-eosin staining and electron microscopy, and the rest of the kidney was used for detecting the protein and mRNA expression of nephrin, CD2AP, synaptopodin, TRPC6 by real-time quantitative PCR, Western-blot and immunohistochemistry. Results After PAN injection, podocyte foot process fusion was detected by electron microscopy, and the 24 h urinary protein excretion increased compared with control mice on days 3, 7 and 10 post-PAN injection (P<0.05). Serum albumin decreased compared with control mice after day 10 (P<0.05). The phenomenon of foot process fusion was ameliorated after administration of BMSC, and 24 h urinary protein decreased (P<0.05), while serum albumin increased (P<0.05). Nephrin, CD2AP and synaptopodin in the glomerular slit diaphragm were up-regulated compared to PAN nephropathy model mice (P<0.05) while TRPC6 was down-regulated (P<0.05). Conclusions Administration of BMSC reduced foot process fusion and urine protein excretion, and protected against podocyte damage caused by PAN.
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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 | 0.000 | 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".