Elevated MTORC1 signaling and impaired autophagy
Bibliographic record
Abstract
A-type lamins, generated from the LMNA gene by differential splicing, are type V intermediate filament proteins that polymerize to form part of the nuclear lamina, and are of considerable medical interest because missense mutations in LMNA give rise to a wide range of dystrophic and progeroid syndromes. Among these are dilated cardiomyopathy and two forms of muscular dystrophy (limb-girdle and Emery-Dreifuss), which are modeled in lmna (-/-) mice and mice engineered to express human disease mutations. Our recent study demonstrates that cardiac and skeletal muscle pathology in lmna (-/-) mice can be attributed to elevated MTORC1 signaling leading to impairment of autophagic flux. An accompanying paper from another laboratory shows similar impairments in mice engineered to express the LMNA H222P associated with dilated cardiomyopathy in humans and also in left ventricular tissue from human subjects. MTORC1 inhibition with rapalogs restores autophagic flux and improves cardiac function in both mouse models, and extends survival in the lmna (-/-) mice. These findings elaborate a potential treatment option for dilated cardiomyopathy and muscular dystrophy associated with LMNA mutation and supplement growing evidence linking impaired autophagy to human disease.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".