Abstract 18705: The miR-130/301 Family Exerts Systems-level Regulation of Proliferation, Vasoconstriction, and Extracellular Matrix Deposition to Control Pulmonary Hypertension
Bibliographic record
Abstract
Background: Pulmonary hypertension (PH) is a deadly vascular disease with enigmatic molecular origins. Facets of PH have been characterized in isolation, but many have yet to be unified by a common upstream regulator. Methods & Results: We constructed a network in silico of 247 genes and 2,274 functional interactions involved in PH. Using this model and advanced network analysis, we predicted the miR-130/301 family to have the most diverse pool of PH-relevant target genes among conserved microRNAs (miRNAs). Guided by these predictions, we found that this family was up-regulated by hypoxia, inflammatory cytokines, and factors genetically linked to PH. MiR-130/301 family members were also up-regulated in remodeled pulmonary vessels in 7 animal models and 3 human subtypes of PH. Via gain- and loss-of-function experiments in vitro , we found that miR-130/301 suppressed a cohort of PPARgamma-related targets to regulate two pro-proliferative pathways (the apelin-miR-424/503-FGF2 axis in PAECs and the STAT3-miR-204-SRC axis in PASMCs); vasomotor tone ( e.g. , endothelin-1 and endothelial nitric oxide synthase); and extracellular matrix remodeling ( e.g. , the collagen crosslinking enzyme LOX). In turn, delivery of miR-130a mimic oligonucleotides in pulmonary vessels of mice altered expression of the predicted cohort of PPARgamma-related factors, leading to increased vascular remodeling (19.62±1.36 percent muscularized arterioles for miR-130a vs. 6.98±0.55 percent for scrambled control, p<0.05, mean±SEM), pulmonary vascular resistance (791±124.5 [10 3 *dyn*s*cm -5 ] for miR-130a vs. 462±25.4 for control, p<0.05), and perivascular collagen deposition and cross-linking (9.67±1.24 percent of perivascular area positive for Picrosirius Red stain vs 1.24±0.15 percent for scrambled control, p<0.05). After PH initiation in mice (chronic hypoxia+SU5416), coordinated inhibition of these miRNAs in vivo via antisense oligonucleotides mitigated these effects. Conclusions: We used network modeling to identify miR-130/301 as a master regulator of PH and a novel potential therapeutic target. These findings provide critical support for the evolving application of network modeling to discover the hidden molecular origins of PH and other human diseases.
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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) | 0.000 | 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) | 0.002 | 0.001 |
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".