Ventilator‐induced diaphragmatic dysfunction in <i>MDX</i> mice
Bibliographic record
Abstract
INTRODUCTION: Patients with Duchenne muscular dystrophy (DMD) frequently undergo mechanical ventilation (MV) for treatment of hypoventilation, but the susceptibility of the dystrophic diaphragm to ventilator-induced diaphragmatic dysfunction (VIDD) has not been examined. METHODS: Dystrophic mice (mdx-genetic homolog of DMD) were assigned to non-ventilated control (CTL) and MV (for 6 hours) groups. Biochemical markers of oxidative/cellular stress, metabolism, and proteolysis were compared along with ex-vivo diaphragmatic force production. RESULTS: MV significantly depressed maximal diaphragmatic force production compared with baseline values. In addition, MV triggered oxidative stress responses, STAT3 phosphorylation, and an upregulation of cellular pathways associated with muscle proteolysis and/or wasting (autophagy, E3 ubiquitin ligases, and myostatin). DISCUSSION: Short-term MV induces rapid diaphragmatic force loss and biochemical changes consistent with VIDD in mdx mice. This may have implications for the optimal use of intermittent MV in DMD patients. Muscle Nerve 57: 442-448, 2018.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".