Effect of T<sub>3</sub>-induced hyperthyroidism on mitochondrial and cytoplasmic protein synthesis rates in oxidative and glycolytic tissues in rats
Bibliographic record
Abstract
Hyperthyroidism increases metabolic rate, mitochondrial ATP production, and protein synthesis, but it remains to be determined whether all tissues and synthesis of specific protein pools are equally affected by hyperthyroidism. Previous studies showed that mitochondrial function was less responsive to elevated triiodothyronine (T(3)) levels in the low-oxidative plantaris muscle compared with other tissues in rats. We tested the hypothesis that in T(3)-treated animals mitochondrial protein synthesis would increase in oxidative but not glycolytic tissues. Male rats received either T(3) (200 mug/day, n = 10) or saline (controls, n = 9) by subcutaneous pump for 14 days, and then in vivo protein synthesis rates were measured using [(15)N]phenylalanine in liver, heart, plantaris, and red gastrocnemius (Red Gast). Mitochondrial protein synthesis rate in T(3)-treated rats was higher than in controls by 62% in Red Gast and plantaris and 89 and 115% in liver and heart, respectively (P < 0.01). Cytoplasmic protein synthesis rates in the T(3) group were 107-176% higher than control values (P < 0.01). There was also indirect evidence that protein breakdown was increased in all tissues of the T(3)-treated rats. Phosphorylation of selected regulators of protein synthesis in plantaris and Red Gast (mTOR, p70 S6 kinase, 4E-BP1), however, were not significantly affected by T(3). We conclude that T(3) infusion stimulates a general increase in mitochondrial and cytoplasmic protein synthesis rate among tissues and that this does not appear to explain the tissue-specific responses in mitochondrial oxidative capacity.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".