Sesamin Suppresses Aging-Associated Impairment of Protein Homeostasis in Adult <em>Drosophila </em>Muscles by Stimulating Autophagy
Bibliographic record
Abstract
As Drosophila ages, damaged and no longer used proteins, which are ubiquitinated, accumulate in muscle. This is attributed to age-dependent impairment of protein homeostasis. Sesamin, which has antioxidant effects on cultured cells and Drosophila neurons, suppresses this muscle-aging phenotype. However, unlike in neurons, it failed to activate the transcription factor Nrf2 for antioxidant genes in muscle. The number and amount of ubiquitinated aggregates increased in the flies' muscles with aging. We investigated autophagy levels via anti-Ref(2)P immunostaining and demonstrated that autophagy in the muscle was stimulated in sesamin-fed flies. The effect on the muscle was eliminated via the administration of an autophagy inhibitor, chloroquine, and the muscle-specific depletion of Atg8, an autophagosome component. In contrast, the effect did not change via the administration of a proteasome inhibitor, bortezomib, and the depletion of proteasome components, suggesting that sesamin stimulates autophagy, but not the proteasome degradation system, to suppress the age-related impairment of protein homeostasis in muscle. Sesamin may be a useful anti-aging substance in delaying muscle aging. Another interesting finding from the study is that inhibition of the ubiquitin-proteasome system also influences autophagy in Drosophila muscles. Elucidating the mechanisms underlying sesamin's effects provides essential information related to the muscle aging process.
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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) | 0.002 | 0.001 |
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".