Increased NPC1L1 and serum cholesterol in a chronic rejection rat
Bibliographic record
Abstract
PURPOSE: To measure serum cholesterol and triglyceride levels and NPC1L1 mRNA and protein as an index of cholesterol absorption during the development of chronic rejection (CR) in a rat model of intestinal transplantation. METHODS: Rats were randomly divided into two groups: Group 1 (n=20) underwent syngenic Lewis-to-Lewis transplantation and Group 2 (n=20) underwent allogenic F344-to-Lewis transplantation as well as treatment with FK506. Blood samples and intestinal tissue were procured on the 190th day after operation. Histological changes were analyzed and the semiquantitative scores of histological parameters were compared. The serum levels of cholesterol and triglyceride were determined. The expression of Niemann-Pick C1 Like 1(NPC1L1) mRNA and protein were analyzed by Reverse Transcriptase Polymerase Chain Reaction (RT-PCR) and immunohistochemistry, respectively. RESULTS: All the animals survived for the 190 days. The appearance and histology of isografts were almost normal whereas the allografts displayed thickened bowel wall and mesenteric fibrosis, concentric intimal thickening and interstitial fibrosis and inflammatory infiltration. The histology scores displayed a significant difference between the allografts and isografts (P < 0.001). No differences were observed for triglycerides for the two groups. The serum cholesterol levels increased significantly in the allogenic group in comparison with the syngenic group (P=0.034), while no difference was observed for triglyceride levels between groups. RT-PCR showed that the expression of NPC1L1 of allografts increased significantly (P=0.004). Immunohistochemistry confirmed RT-PCR findings. CONCLUSIONS: Neointima formation and mesenteric fibrosis were the dominant pathological features. The increased expression of NPC1L1 might contribute to hypercholesterolemia, which may be involved in the pathogenesis of transplant arteriosclerosis.
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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) | 0.001 | 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 | 0.000 | 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".