Impact of dietary induced fatty liver on mitochondrial oxidative phosphorylation
Bibliographic record
Abstract
High fat (HF) diet has been linked to mitochondrial dysfunction. Alteration of HF diet duration has shown that although mitochondrial impairments are present initially (2–4 weeks), these impairments are abolished or exceed control level function after prolonged HF feeding (>; 8 weeks). Male C‐57 mice (n=14) were randomly assigned to one of two dietary groups; chow (CH, 10% kcal fat) and high fat (HF, 60% kcal fat). HF mice were obese with elevated liver triglycerides. Isolated mitochondria from mouse liver tissue were measured using high‐resolution respirometry. Animals within the HF group possessed higher state 3 & 4 respiration (p<0.05), as well as higher respiratory control ratios (p<0.05). Mitochondria are termed to be in state 3 respiration when actively respiring, meaning the rate where they are capable of converting adenosine diphosphate (ADP) to adenosine triphosphate (ATP) through oxygen consumption. State 4 refers to the rate of oxygen depletion after all ADP has been phosphorylated, also termed leak respiration. This indicates that mitochondria in HF animals are able to adapt to metabolic stressors such as a high fat diet by elevating state 3 respiratory rates above normal levels. Moreover, mitochondria can increase their active respiratory rate within fatty liver tissues as a direct result of excess lipid availability and accumulation.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".