Aluminum toxicity elicits a dysfunctional TCA cycle and succinate accumulation in hepatocytes
Bibliographic record
Abstract
Aluminum (Al), a known environmental toxicant, has been linked to a variety of pathological conditions such as dialysis dementia, osteomalacia, Alzheimer's disease, and Parkinson's disease. However, its precise role in the pathogenesis of these disorders is not fully understood. Using hepatocytes as a model system, we have probed the impact of this trivalent metal on the aerobic energy-generating machinery. Here we show that Al-exposed hepatocytes were characterized by lipid and protein oxidation and a dysfunctional tricarboxylic acid (TCA) cycle. BN-PAGE, SDS-PAGE, and Western blot analyses revealed a marked decrease in activity and expression of succinate dehydrogenase (SDH), alpha-ketoglutarate dehydrogenase (KGDH), isocitrate dehydrogenase-NAD+ (IDH), fumarase (FUM), aconitase (ACN), and cytochrome c oxidase (Cyt C Ox). 13C-NMR and HPLC studies further confirmed the disparate metabolism operative in control and Al-stressed cells and provided evidence for the accumulation of succinate in the latter cultures. In conclusion, these results suggest that Al toxicity promotes a dysfunctional TCA cycle and impedes ATP production, events that may contribute to various Al-induced abnormalities.
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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 | 0.000 |
| 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".