Evidence map›Paper›PMID 42830635›Full record

ArticleRenal failure2026

Esaxerenone attenuates renal injury by inhibiting NR3C2-mediated inflammatory and fibrotic pathways.

Chang Xu, Fengrui Liu, Jingwen An, Nan Zhai, Wenjing Li, Hongshuang Wang, Zheng Wang, Yan Zhong, Xiangting Wang

Abstract read
In one paragraph

Article in Renal failure, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Chang XuGraduate School, Hebei University of Chinese Medicine, Shijiazhuang, China.
Fengrui LiuGraduate School, Hebei University of Chinese Medicine, Shijiazhuang, China.
Jingwen AnGraduate School, Hebei University of Chinese Medicine, Shijiazhuang, China.
Nan ZhaiGraduate School, Hebei University of Chinese Medicine, Shijiazhuang, China.
Wenjing LiGraduate School, Hebei University of Chinese Medicine, Shijiazhuang, China.
Hongshuang WangSchool of Nursing, Hebei University of Chinese Medicine, Shijiazhuang , China.
Zheng WangCollege of Integrative Medicine, Hebei University of Chinese Medicine, Shijiazhuang, China.
Yan ZhongCollege of Integrative Medicine, Hebei University of Chinese Medicine, Shijiazhuang, China.
Xiangting WangGraduate School, Hebei University of Chinese Medicine, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal inflammation and fibrosis are pathological features of various types of kidney diseases. High-salt diet and aldosterone are risk factors for inducing kidney disease. Esaxerenone is the mineralocorticoid receptor blocker which is effective in treating hypertension. The aim of this study is to observe the effect of esaxerenone on renal inflammation in a rat model of high-salt diet plus aldosterone infusion. We found that rats treated with high-salt diet plus aldosterone showed more serious renal pathological injury. As well as, the expression of kidney injury molecule-1, toll-like receptor 4 (TLR4), phospho-nuclear factor kappa-B‌ (p-NF-κB), F4/80, interleukin-6, ‌tumor necrosis factor-alpha, and interferon gamma were increased (

Indexed as

KidneyMineralocorticoid Receptor AntagonistsPyrrolesReceptors, MineralocorticoidSulfonesAldosteroneAnimalsDisease Models, AnimalFibrosisInflammationMaleNF-kappa BRatsRats, Sprague-DawleySignal TransductionToll-Like Receptor 4AldosteroneesaxerenoneMineralocorticoid Receptor AntagonistsNF-kappa BPyrrolesReceptors, MineralocorticoidSulfonesToll-Like Receptor 4aldosteroneesaxerenoneRenal fibrosisrenal inflammation

Identifiers

PMID42830635
PMCPMC13644450

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.