Abstract P162: <i>In vivo</i> miR-431 Inhibition Protects Against Vascular Damage and Hypertension
Bibliographic record
Abstract
Background: Vascular injury is an early manifestation of hypertension. microRNAs (miRNAs) play an important role in cardiovascular disease, but their implication in vascular injury remains unclear. Using small and total RNA sequencing, we identified in murine mesenteric arteries (MAs) a conserved angiotensin (Ang) II-upregulated Dlk1-Dio3 miRNA miR-431 that correlated with blood pressure (BP), and an Ang II-downregulated BP-correlated conserved putative miR-431 target, the transcriptional factor ETS homologous factor ( Ehf ). miR-431 might be involved in vascular remodeling as Ehf regulates expression of extracellular matrix genes including alpha-1 type I collagen ( Col1a1 ) and of other Dlk1-Dio3 miRNAs. In this study, we proposed to validate the miR-431- Ehf - Col1a1 interaction in vitro and in vivo , and determine whether miR-431 inhibition antagonizes angiotensin (Ang) II-induced hypertension and vascular injury. Methods and Results: Transfection of miR-431 mimics into human aortic smooth muscle cells decreased Ehf expression (0.13±0.05 fold, P <0.001) and increased Col1a1 (1.7±0.5 fold, P <0.01), whereas miR-431 inhibitors increased Ehf (1.5±0.2 fold, P <0.001) and decreased Col1a1 (0.89±0.11 fold, P <0.05). Ehf siRNA transfection increased 1.2±0.1 fold Col1a1 ( P <0.01). Co-transfection of miR-431 mimics with luciferase reporter vectors that contain the wild-type but not mutated miR-431 human EHF 3’ UTR binding site decreased 0.51±0.01 fold ( P <0.05) luciferase expression compared to scrambled mimics. miR-431 inhibitor IV injection in mice at day 0 and 7 of Ang II infusion decreased miR-431 (0.16±0.05 fold, P <0.01), Col1a1 (0.58±0.11 fold, P <0.05), increased Ehf (2.9±0.8 fold, P <0.05) in MAs, delayed BP elevation ( P <0.01), improved endothelium-dependent relaxation (33±8 vs 64±7%, P <0.05) and reduced vascular stiffness (strain at 140mmHg: 0.68±0.02 vs 0.58±0.02 ΔD/D, P <0.01) compared to scrambled mimics-injected Ang II-infused mice. Conclusion and Perspectives: miR-431 and its target Ehf may act as master regulators in the pathophysiology of vascular damage in hypertension. miR-431 inhibition has the potential to serve as a novel therapeutic approach for treatment of vascular damage and hypertension.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".