MiR-1180 promotes cardiomyocyte cell cycle re-entry after injury through the NKIRAS2–NFκB pathway
Post-publication record
OpenAlex flags this work as retracted, but it carries no matching Retraction Watch record in this frame.
Bibliographic record
Abstract
Heart failure (HF) is associated with a considerable number of symptoms and significantly impaired health for humans, including reduced quality of life and physical functioning. Previous studies have indicated that miRNAs have important roles in regulating the development of HF. MiR-1180 is involved in the proliferation, migration, invasiveness, and chemoresistance of cancer cells; however, the underlying mechanisms and role of miR-1180 in the functioning of cardiomyocytes remains unclear. In this study, we found that miR-1180 promotes cell activity and cell cycle processes by driving energy generation through NKIRAS2, which declines over time during development. The expression of miR-1180 is down-regulated in cells subjected to hypoxia-reoxygenation, and use of an miR-1180 mimic significantly reduced myocardial injury and cell apoptosis. In addition, miR-1180 regulates the NFκB pathway through NKIRAS2 in cardiomyocytes. These findings suggest that miR-1180 maybe a novel therapeutic target for use in getting cardiomyocytes to re-enter the cell cycle as well as for cardiac repair following myocardial injury.
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 | 0.000 | 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 | 0.000 |
| 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".