Dynamic responses of the glutathione system to acute oxidative stress in dystrophic mouse (mdx) muscles
Bibliographic record
Abstract
The precise mechanisms underlying skeletal muscle damage in Duchenne muscular dystrophy (DMD) remain ill-defined. Functional ischemia during muscle activation, with subsequent reperfusion during rest, has been documented. Therefore, one possibility is the presence of increased oxidative stress. We applied a model of acute hindlimb ischemia/reperfusion (I/R) in mdx mice (genetic homolog of DMD) to evaluate dynamic in vivo responses of dystrophic muscles to this form of oxidative stress. Before the application of I/R, mdx muscles showed: 1) decreased levels of total glutathione (GSH) with an increased oxidized (GSSG)-to-reduced (GSH) glutathione ratio; 2) greater activity of the GSH-metabolizing enzymes glutathione peroxidase (GPx) and glutathione reductase; and 3) lower activity levels of NADP-linked isocitrate dehydrogenase (ICDH) and aconitase, two metabolic enzymes that are sensitive to inactivation by oxidative stress and also implicated in GSH regeneration. Interestingly, nondystrophic muscles subjected to I/R exhibited similar changes in total glutathione, GSSG/GSH, GPx, ICDH, and aconitase. In contrast, all of the above remained stable in mdx muscles subjected to I/R. Taken together, these results suggest that mdx muscles are chronically subjected to increased oxidative stress, leading to adaptive changes that attempt to protect (although only in part) the dystrophic muscles from acute I/R-induced oxidative stress. In addition, mdx muscles show significant impairment of the redox-sensitive metabolic enzymes ICDH and aconitase, which may further contribute to contractile dysfunction in dystrophic muscles.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".