Skeletal muscle oxidative capacity related to intramyocellular lipid in young but not in older individuals
Bibliographic record
Abstract
Skeletal muscles contain lipids inside and outside cells, namely intramyocellular lipids (IMCL) and extramyocellular lipids (EMCL), respectively; lipids have also been found to be interspersed between these muscles as adipose tissue, namely intermuscular adipose tissue (IMAT). Metabolized IMCL has been recognized as an important substrate for energy production and their metabolism is determined by the muscle oxidative capacity. Therefore, it has been speculated that muscle oxidative capacity is related to muscle lipid content. Excessive accumulation of EMCL and IMAT has been confirmed in older individuals, leading to metabolic disorders and a decline in muscle strength. However, whether EMCL and IMAT contribute to muscle lipid metabolism remains unknown. This study aimed to investigate whether muscle oxidative capacity is related to IMCL, EMCL, and IMAT in young and older individuals. A total of 18 young and 14 older individuals were included and their muscle oxidative capacity was assessed based on the recovery rate of muscle oxygen saturation after exercise, using near-infrared spectroscopy of the medial gastrocnemius. IMCL, EMCL, and IMAT were assessed using magnetic resonance spectroscopy and imaging. A relationship between muscle oxidative capacity and IMCL was confirmed in young ( r = −0.47, P < 0.05) but not older individuals ( r = 0.22, P = 0.45). Muscle oxidative capacity was not related to EMCL or IMAT in either young or older individuals. These results suggest that IMCL in young individuals can contribute to muscle lipid metabolism, but not EMCL and IMAT, and this relationship differs with aging.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".