Angiogenesis in the adipose tissue of tumor-bearing rabbits treated by cyclic plasma perfusion
Bibliographic record
Abstract
The mechanisms of cancer cachexia have not been elucidated. We previously reported that cyclic plasma perfusion using non-coated charcoal was effective in cancer cachexia. In the present study we investigated the angiogenic effect of cyclic plasma perfusion on adipose tissue. Twenty rabbits were divided into two groups, i.e., tumor-bearing rabbits subjected to cyclic plasma perfusion (n=10, PP group), and tumor-bearing rabbits subjected to sham-perfusion (n=10, SP group). The changes in body weight, total body fat, and expression of angiogenic factors were investigated. Loss of body weight and total body fat was significantly suppressed in the PP group. Apoptosis of adipocytes was seen in both groups only in the early stage of tumor bearing. Lipolytic activity in the PP group showed a lower ratio than that in the SP group. In the PP group, increased microvessel density and expression of vascular endothelial growth factor (VEGF) and platelet-derived endothelial cell growth factor (PD-ECGF) were seen at 40 days after transplantation. Similar findings were not seen in the SP group. These results suggest that cyclic plasma perfusion not only decreased lipolytic activity but induced angiogenesis in the adipose tissue.
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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) | 0.000 | 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 | 0.001 |
| 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".