Nutritional and metabolic effects of the endotoxin bacterial lipopolysaccharide in orally and parenterally fed rats
Bibliographic record
Abstract
BACKGROUND: Animals treated with tumor necrosis factor alpha (TNF-alpha) developed severe metabolic abnormalities despite receiving sufficient protein and energy by total parenteral nutrition (TPN). OBJECTIVE: We sought to investigate the nutritional and metabolic effects of bacterial lipopolysaccharide (LPS) in rats. DESIGN: Rats were randomly allocated to 5 groups: oral nutrition (ON control; n = 7), TPN control (n = 7), ON+LPS (n = 6), TPN+LPS (n = 9), and pair fed (PF) in relation to ON+LPS (n = 6). RESULTS: Body weight decreased significantly as diet consumption decreased in the ON+LPS and PF groups compared with the ON control group. Relative carcass weights were significantly lower in the TPN+LPS and ON+LPS groups than in their respective control groups. Diaphragm and extensor digitorum longus weights were significantly lower in the ON+LPS and PF rats, but not in the TPN+LPS rats, compared with their respective controls. Biochemical abnormalities and plasma corticosterone concentrations were greater in the TPN+LPS group than in the other groups. CONCLUSIONS: These data suggest that provision of sufficient protein and energy by TPN does not prevent general carcass wasting induced by LPS but may protect individual muscles. However, compared with an oral ad libitum diet, TPN providing sufficient protein and energy worsens the biochemical abnormalities induced by LPS. More rapid clearance of TNF-alpha and low corticosterone concentrations in weight-losing animals may help reduce the severity of the metabolic effects of LPS.
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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 | 0.001 |
| 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".