P28 Implication of Hyperuricemia in Metabolic-Associated Hepatic Encephalopathy: Looking Beyond Ammonia
Bibliographic record
Abstract
Introduction: Chronic liver disease (CLD) is associated with hepatic encephalopathy (HE), which is not always correlated with increased blood ammonia. In addition, HE is not always reversible and our understanding why, remains unknown. We speculate other factors may be involved. We identified uric acid (UA) as a candidate since hyperuricemia is induced by similar factors to CLD, namely alcohol and fructose consumption. UA also contributes to neuroinflammation, cell loss, anxiety and memory impairments. Our goal is to investigate the impact of hyperuricemia on HE in a rat model of CLD. Methods: CLD was induced in male Sprague-Dawley rats via bile-duct ligation (BDL) including SHAM-operated controls. Hyperuricemia was induced in BDLs by a diet containing 3% UA (HUAD) compared to regular diet (RD). Therefore, 4 experimental groups were included: (1) SHAM+RD, (2), SHAM+HUAD, (3) BDL+RD, (4) BDL+HUAD. UA was assessed at baseline and days 7, 14, 21 and 28. At days 14 and 28, anxiety (Open-Field and Elevated-Plus Maze) and memory (Novel Object Recognition) were assessed. At day 33, animals were sacrificed to collect blood and brain (frontal cortex, amygdala and hippocampus) for analyses of cell death by apoptosis (caspases 3, 8 and 9). Results: HUAD leads to an increase in plasma UA in both SHAM and BDL rats beginning at day 7 until day 33. On day 14, short-term memory in both HUAD groups and long-term memory in BDL+HUAD group was impaired compared to RD animals. Furthermore, increased anxiety in both HUAD groups was detected. At day 28, memory is impaired in both HUAD groups compared to RD animals without any effects on short-term memory. In the frontal cortex of both HUAD groups, the intrinsic and extrinsic pathways of apoptosis were activated. In the amygdala and hippocampus, we detected an activation of the intrinsic pathway of apoptosis for the BDL+HUAD rats as well. Conclusion: In rats with CLD, hyperuricemia induces early-onset anxiety and memory impairments and leads to cerebral cell injury and loss. The synergistic role of UA and ammonia in the context of CLD remains to be determined.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".