# Heterogeneity in the efficacy of bosentan for hypertensive nephropathy: a study on individualized benefit prediction models based on pathological subtyping and dynamic trajectories

**Authors:** Xiang Yu, XinYan Gong, BaoLong Wang, YuWei Ji, RiLiGe Wu, WanLing Wang, MengJie Huang, SaSa Nie, GuangYan Cai, XiangMei Chen, Zhe Feng

PMC · DOI: 10.1080/07853890.2026.2624240 · Annals of Medicine · 2026-02-06

## TL;DR

This study explores how bosentan affects patients with hypertensive nephropathy, finding that individual responses vary and can be predicted using pathology scores and early response thresholds.

## Contribution

The study introduces a personalized prediction model for bosentan efficacy based on pathological subtyping and dynamic response trajectories.

## Key findings

- Patients with higher pathological injury scores showed significantly lower creatinine reduction after bosentan treatment.
- Three distinct efficacy trajectories were identified, including sustained improvement and deterioration patterns.
- Early response thresholds predicted long-term efficacy with an AUC of 0.79.

## Abstract

Many patients with hypertensive nephropathy progress to chronic kidney disease (CKD). Targeting the core pathophysiological pathway of endothelin-1 activation, this study aimed to elucidate response patterns to the endothelin receptor type A/B (ETA/ETB) antagonist bosentan and construct a personalized prediction model.

This single-centre retrospective cohort study enrolled 166 patients with hypertension-related nephropathy confirmed by renal biopsy. Risk stratification was performed based on a pathological injury scoring. Three efficacy trajectories were identified using latent variable growth mixture models. Efficacy drivers were screened via random forest algorithms. Finally, early response thresholds were established using receiver operating characteristic (ROC) curves.

Patients in the high-damage group exhibited significantly lower creatinine reduction than those in the low-damage group. Trajectory analysis revealed three patterns: sustained improvement (65.1%), with a 12-month creatinine reduction of 110.8 μmol/L, and deterioration (12.0%), with a deterioration inflection point at 5.3 ± 1.7 months and a subsequent creatinine increase of 40.2 μmol/L. Pathological injury score was the primary determinant of efficacy and was significantly negatively correlated with creatinine reduction (r = −0.61). Early response threshold analysis indicated that ΔCr3M ≥ 42.3 μmol/L predicted 12-month efficacy, with an area under the curve (AUC) of 0.79. The early target-achievement group demonstrated significantly greater creatinine reduction than the nonachievement group. Compared with the non-sodium–glucose cotransporter-2 inhibitor (SGLT2i) group, the SGLT2i group demonstrated a 59% reduction in creatinine, while the diabetic subgroup showed a 47.1% smaller reduction than the nondiabetic subgroup.

Bosentan may improve glomerular haemodynamics in patients with hypertensive nephropathy. We propose pathological and early-response thresholds that could guide dynamic, precision interventions before critical inflection points, potentially paving the way for an upgrade from static to proactive management. These findings require validation in larger cohorts.

## Linked entities

- **Chemicals:** bosentan (PubChem CID 104865)
- **Diseases:** hypertensive nephropathy (MONDO:0024633), chronic kidney disease (MONDO:0005300)

## Full-text entities

- **Genes:** EDN1 (endothelin 1) [NCBI Gene 1906] {aka ARCND3, ET1, HDLCQ7, PPET1, QME}, EDNRB (endothelin receptor type B) [NCBI Gene 1910] {aka ABCDS, ET-B, ET-BR, ETB, ETB1, ETBR}
- **Diseases:** hypertension (MESH:D006973), hypertensive nephropathy (MESH:C563161), diabetic (MESH:D003920), nephropathy (MESH:D007674), CKD (MESH:D051436)
- **Chemicals:** creatinine (MESH:D003404), SGLT2i (-), Bosentan (MESH:D000077300)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12885016/full.md

## References

36 references — full list in the complete paper: https://tomesphere.com/paper/PMC12885016/full.md

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Source: https://tomesphere.com/paper/PMC12885016