Mitochondrial miRNAs in diabetes: just the tip of the iceberg
Bibliographic record
Abstract
Over the last 2 decades, mi(cro)RNAs have emerged as one of the key regulators of metabolic homeostasis. Most of the studies have highlighted that, in the cytoplasm, miRNAs directly bind to the 3'-UTR (untranslated region) of a mRNA. Conventional RNA-induced silencing complex (RISC) formation results in the post-transcriptional inhibition. This process is known to contribute to the development of metabolic diseases, including diabetes mellitus. Recent advancements with small RNA detection technologies have enabled us to identify miRNAs in the mitochondrial compartment of the cells. We have termed these miRNAs, which translocate into the mitochondria as mitochondrial miRNA, MitomiR. It has been demonstrated that MitomiRs can regulate gene expression, with some evidence even suggesting that, after translocation, MitomiRs can bind to the 3'-end of a mitochondrial gene, altering its regulation. Our main focus in this review is to highlight the potential role of MitomiR in the pathogenesis of metabolic disorders such as diabetes mellitus.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".