Marginal Zinc Deficiency Increased the Susceptibility to Acute Lipopolysaccharide-Induced Liver Injury in Rats
Bibliographic record
Abstract
Lipopolysaccharide (LPS) triggers a global activation of inflammatory responses leading to liver injury in humans. Zinc pretreatment has been shown to prevent LPS-induced hepatic necrosis. In North America, suboptimal zinc status is more common than once realized. However, the effect of inadequate zinc nutrition on the host's susceptibility to LPS-induced liver injury is not known. The objective of this study was to determine whether marginal zinc deficiency would render rats more susceptible to LPS-induced liver injury. Weanling Sprague-Dawley rats were assigned to one of three dietary treatment groups: marginally low zinc ad libitum (Z3; 3 mg zinc/kg diet), adequate zinc ad libitum (Z30; 30 mg zinc/kg diet), or adequate zinc pair-fed (Z30P) group. After 6 weeks, each dietary treatment group was further divided into LPS-control (saline) groups (C-Z3, C-Z30P, C-Z30) and LPS-treatment (1 mg/kg body weight, intraperitoneal, 8 hrs) groups (LPS-Z3, LPS-Z30P, LPS-Z30). LPS reduced the serum zinc concentration and increased the liver zinc concentration regardless of dietary zinc intake. Serum alanine aminotransferase level was higher in the LPS-Z3 rats than in the LPS-Z30P and LPS-Z30 rats. LPS also induced hepatocyte necrosis and neutrophil infiltration into the liver sinusoids. This LPS-induced liver damage was more severe in the LPS-Z3 rats than in the LPS-Z30P and LPS-Z30 rats. Together these findings have demonstrated that marginal zinc deficiency increased the susceptibility to LPS-induced liver injury in rats. These results indicate that patients with sepsis who have suboptimal zinc nutrition status may be at higher risk of developing greater liver damage.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".