Aluminum-Induced Mitochondrial Dysfunction Leads to Lipid Accumulation in Human Hepatocytes: A Link to Obesity
Bibliographic record
Abstract
Mitochondrial dysfunction is the cause of a variety of pathologies associated with high energy-requiring tissues like the brain and muscles. Here we show that aluminum (Al) perturbs oxidative-ATP production in human hepatocytes (HepG2 cells). This Al-induced mitochondrial dysfunction promotes enhanced lipogenesis and the accumulation of the very low density lipoprotein (VLDL). Al-stressed HepG2 cells secreted more cholesterol, lipids and proteins than control cells. The level of apolipoprotein B-100 (ApoB-100) was markedly increased in the culture medium of the cells exposed to Al. (13)C-NMR and HPLC studies revealed a metabolic profile favouring lipid production and lowered ATP synthesis in Al-treated cells. Electrophoretic and immunoblot analyses pointed to increased activities and expression of lipogenic enzymes such as glycerol 3-phosphate dehydrogenase (G3PDH), acetyl CoA carboxylase (ACC) and ATP-citrate lyase (CL) in the hepatocytes exposed to Al, and a sharp diminution of enzymes mediating oxidative phosphorylation. D-Fructose elicited the maximal secretion of VLDL in the Al-challenged cells. These results suggest that the Al-evoked metabolic shift favours the accumulation of lipids at the expense of oxidative energy production in hepatocytes.
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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".