Serine and Glycine Are Essential for Skeletal Muscle Regeneration Following Injury
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Bibliographic record
Abstract
Skeletal muscle (SkM) regeneration post injury is reliant on SkM-specific stem cells (muscle progenitor cells [MPCs]) and a well-orchestrated myogenic program. The regenerative process is impaired with advancing age, potentiating pathological SkM remodeling (infiltration of fat and fibrotic tissues). We have previously demonstrated that the nutritionally non-essential amino acids serine (Ser) and glycine (Gly) are required for early stages of SkM regeneration (MPC proliferation). However, Ser and Gly availability (SkM and circulating) declines with aging. The objective was to test the hypothesis that reduced endogenous Ser/Gly during regeneration promotes pathological SkM remodeling in aged animals. Old mice (∼20 months of age) were given a Ser/Gly depleted diet (SGdep) or an isonitrogenous, isoenergetic diet containing Ser/Gly (SGcont) for 4 weeks followed by notexin-induced injury to the tibialis anterior (TA) SkM. At 28 days post injury the TA was harvested and histological analysis of SkM morphology (H&E and immunofluorescence [IF]) and gene expression analyses (qPCR) were completed. Old mice receiving the SGdep diet had a shift toward reduced myofiber size and enhanced adipocyte infiltration in the SkM. Adipocyte infiltration was confirmed with IF of perilipin-1, an adipocyte marker. Uninjured mice on the SGdep diet did not demonstrate altered SkM morphology. Gene expression analysis of differentially expressed genes underlying SkM remodeling (reduced myofiber size and increased fat infiltration) with SGdep is ongoing. Reduced Ser and Gly availability following injury instigates SkM remodeling in old mice, which could explain in part age-related impairments in SkM regeneration. This research underscores the essentiality of Ser and Gly for the SkM regenerative process particularly with advancing age. Canadian Institutes of Health Research Doctoral Foreign Study Award to BG.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it