Endurance Training Restores Ageing-Impaired Lysosomal Biogenesis Factors in Rest and Response to Acute Exercise in Rat Skeletal Muscle
Bibliographic record
Abstract
PURPOSE: Lysosomes, crucial for autophagy, play a pivotal role in cellular processes influenced by exercise. This study investigates the impact of ageing on lysosomal function, focusing on Transcription Factor E3 and its regulators, mTORC1 and Calcineurin, emphasizing their response and adaptation to endurance training METHODS: Twenty-five male Sprague-Dawley rats were categorised into Young (2 months), Aged sedentary and Aged sedentary single session (18 months), Aged long-term trained, and Aged trained-single session (17 months). Changes in variables were explored concerning sarcopenia by Soleus muscle fibre diameter and number measured via Eosin & Hematoxylin, phosphorylated and total TFE3 protein levels via western blot, mTORC1 and Calcineurin mRNA levels via real-time PCR. RESULTS: Ageing occurred with increased pTFE3/TFE3total protein (BF=579), declined mTORC1 mRNA (BF=3.99), and muscle diameter (BF=87), signifying sarcopenia and potential contributors. Conversely, Calcineurin mRNA (BF=0.67) and muscle fibre number (BF=0.31) remained unaltered during ageing. Exercise elicited acute responses, reducing pTFE3/TFE3total protein (BF=306), elevating mTORC1 (BF=1.57) and Calcineurin mRNA levels (BF=3.19). Three weeks of endurance training further decreased resting pTFE3/TFE3total protein (BF=174) while increasing Calcineurin mRNA (BF=12) and muscle fibre diameter (BF=126), with no changes in mTORC1 mRNA levels (BF=0.46) and muscle fibre number. Post-exercise, trained rats sustained decreased pTFE3/TFE3total protein (BF=56) and elevated mTORC1 mRNA (BF=1.16). CONCLUSION: This study underscores the involvement of TFE3, MTORC1, and Calcineurin in sarcopenia, proposing endurance training as an effective strategy to mitigate age-related changes and enhance muscle function in aged rats. Additionally, it suggests impairments in TFE3 possibly contribute to sarcopenia.
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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".