Zinc Alleviates Lipopolysaccharide Interference with Both Body Temperature and Sickness Behavior in Virgin Female Rats
Bibliographic record
Abstract
OBJECTIVES: Previous studies from our group showed that lipopolysaccharide (LPS) exposure induces several signs of sickness behavior, including a decrease in food consumption, body weight gain, adipsia, and a biphasic effect in tympanic temperature with a first phase of hypothermia, followed by an increased tympanic temperature. LPS can activate a chain of nonspecific host responses, including the immune response, and decreased zinc levels. In addition, there are differences in the immune response between males and females, particularly fever, with sex hormones interfering with body temperature. This study aims to characterize the effects of zinc treatment on tympanic temperature, body weight gain, food and water consumption, and general activity in open field of virgin female rats exposed to a dose of LPS that was previously reported to induce sickness behavior. METHODS: Virgin female Wistar rats were treated with either saline (S) or LPS. One hour later, the S group received another injection of saline (S + S group), half of the LPS group received saline (LPS + S group) and the other half received zinc (LPS + Zn group). Tympanic temperature, body weight, and water and food consumption were measured for 96 h. Measurements and observations started 2 h after LPS administration. RESULTS: Treatment with zinc attenuated LPS-increased temperature, decreased the body weight gain and food consumption, and water consumption was increased. CONCLUSION: Zinc treatment is beneficial as it reduces the increased tympanic temperature induced by LPS, but it does not influence other sickness behavior caused by exposure to 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".