Mitofusion is required for MOTS‐c induced GLUT4 translocation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
MOTS-c (mitochondrial ORF of the twelve S-c) is a 16-amino-acid mitochondrial peptide that has been shown to counter insulin resistance and alleviate obesity in vivo. However, the mechanisms involved in the pharmacological action of MOTS-c remain elusive. Based on the ability of MOTS-c to improve insulin resistance and promote cold adaptation, we hypothesized that MOTS-c might play a role in boosting the number of mitochondria in a cell. We found that treatment of mammalian cells with MOTS-c increased protein levels of TFAM, COX4, and NRF1, which are markers for mitochondrial biogenesis. However, flow cytometry analysis using MitoTracker Green revealed a sharp reduction in the mitochondrial count after MOTS-c treatment. We then anticipated possible synchronized activation of mitofusion/mitochondrial fusion by MOTS-c following the onset of mitochondrial biogenesis. This was confirmed after a significant increase in protein levels two GTPases, OPA1, and MFN2, both vital for the fusion of mammalian mitochondria. Finally, we found that inhibition of the two GTPases by TNFα abrogated the ability of MOTS-c to prompt GLUT4 translocation and glucose uptake. Similar results were obtained by siRNA KD of MFN2 as well. Our results reveal for the first time a pathway that links mitofusion to MOTS-c-induced GLUT4 translocation.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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