Design and Optimization of LOXL2 and sGC Dual-Target Regulators Targeting Extracellular Matrix Dysregulation and Vasodilation for the Treatment of Pulmonary Arterial Hypertension
Bibliographic record
Abstract
Abstract Current vasodilator therapies for pulmonary arterial hypertension (PAH) improve outcomes but remain limited in halting disease progression. Emerging evidence suggests that dual-acting agents targeting both vasodilation and vascular remodeling demonstrate superior efficacy. Leveraging the distinct roles of LOXL2 in vascular remodeling and sGC in vasodilation, we designed and synthesized a series of 4-(aminomethyl)-6-(trifluoromethyl)-2-(phenoxy)pyridine derivatives as dual LOXL2/sGC modulators via fragment fusion strategy. In vitro, compound 11k emerged as the most potent candidate, significantly suppressing pathological collagen cross-linking and malignant phenotypes while promoting vasodilation. In a hypoxia-induced PAH rat model, its esterified derivative 9k markedly alleviated vascular remodeling and reduced pulmonary artery pressure, showing efficacy comparable to the combination of riociguat and PAT-1251. Consequently, this study proposes a novel strategy for the development of bifunctional PAH drugs, with a focus on extracellular matrix dysfunction and vasoconstriction, and has identified a promising lead compound.
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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 | 0.001 |
| 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".