Cancer‐ and endotoxin‐induced cachexia require intact glucocorticoid signaling in skeletal muscle
Bibliographic record
Abstract
Cachexia is a wasting condition defined by skeletal muscle atrophy in the setting of systemic inflammation. To explore the site at which inflammatory mediators act to produce atrophy in vivo , we utilized mice with a conditional deletion of the inflammatory adaptor protein myeloid differentiation factor 88 (MyD88). Although whole‐body MyD88‐knockout (wbMyD88KO) mice resist skeletal muscle atrophy in response to LPS, muscle‐specific deletion of MyD88 is not protective. Furthermore, selective reexpression of MyD88 in the muscle of wbMyD88KO mice via electroporation fails to restore atrophy gene induction by LPS. To evaluate the role of glucocorticoids as the inflammation‐induced mediator of atrophy in vivo , we generated mice with targeted deletion of the glucocorticoid receptor in muscle (mGRKO mice). Muscle‐specific deletion of the glucocorticoid receptor affords a 71% protection against LPS‐induced atrophy compared to control animals. Furthermore, mGRKO mice exhibit 77% less skeletal muscle atrophy than control animals in response to tumor growth. These data demonstrate that glucocorticoids are a major determinant of inflammation‐induced atrophy in vivo and play a critical role in the pathogenesis of endotoxemic and cancer cachexia.—Braun, T. P., Grossberg, A. J., Krasnow, S. M., Levasseur, P. R., Szumowski, M., Zhu, X. X., Maxson, J. E., Knoll, J. G., Barnes, A. P., and Marks, D. L., Cancer‐ and endotoxin‐induced cachexia require intact glucocorticoid signaling in skeletal muscle. FASEB J. 27, 3572–3582 (2013). www.fasebj.org
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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) | 0.001 | 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".