Evidence map›Paper›PMID 42682324›Full record

ArticleInternational journal of surgery (London, England)2026

Therapeutic effects of Icariside II on radiation cystitis: revealing the mechanistic role of the FN1/Itgαvβ6-PI3K/AKT signaling pathway using single-cell RNA sequencing.

Juntao Sun, Wanqi Wang, Hongwei Li, Yinglu Yan, Xiaoying Pan, Yang Liu, Chenli Pan, Shuangyan He, Zhuo Wang, Yueyue Zang and 4 more

Abstract read
In one paragraph

Article in International journal of surgery (London, England), 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

14 authors.

Juntao SunChangchun University of Chinese Medicine, Department of Urology, The Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.
Wanqi WangChangchun University of Chinese Medicine, Department of Urology, The Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.
Hongwei LiChangchun University of Chinese Medicine, Department of Urology, The Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.
Yinglu YanDepartment of Urology, The Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.
Xiaoying PanChangchun University of Chinese Medicine, Department of Urology, The Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.
Yang LiuChangchun University of Chinese Medicine, Department of Urology, The Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.
Chenli PanChangchun University of Chinese Medicine, Department of Urology, The Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.
Shuangyan HeChangchun University of Chinese Medicine, Department of Urology, The Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.
Zhuo WangChangchun University of Chinese Medicine, Department of Urology, The Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.
Yueyue ZangChangchun University of Chinese Medicine, Department of Urology, The Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.
Yinhui MaoChangchun University of Chinese Medicine, Department of Urology, The Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.
Mingxing WangDepartment of Urology, The Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.
Yong YangDepartment of Urology, The Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.
Zhitao WeiDepartment of Urology, The Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Radiation cystitis (RC) is a common complication of pelvic radiotherapy and is characterized by persistent bladder inflammation that can ultimately progress to fibrosis. However, the specific cell types involved in RC and targeted molecular therapies remain poorly understood, hindering the development of effective treatment strategies. This study focused on the molecular complexity of RC, aiming to elucidate the effects of radiation on bladder cells via single-cell RNA sequencing (scRNA-seq) and to investigate the protective role and underlying mechanisms of Icariside II (ICA II) in RC treatment. Materials and methods: A rat model of RC was established, and single-cell RNA sequencing (scRNA-seq) was performed to analyze the molecular impact of radiation on different bladder cell types. Intercellular communication analysis was conducted to identify key signaling pathways involved in RC progression. The findings from scRNA-seq were validated through Results: ScRNA-seq analysis revealed 16 distinct cell types within the bladder, including epithelial cells, fibroblasts, smooth muscle cells, endothelial cells, and immune cells, revealing substantial cellular heterogeneity in RC. Intercellular communication analysis revealed that FN1 expression was markedly upregulated following radiation exposure. FN1 binds to its receptor Itgαvβ6, activating the PI3K/AKT signaling pathway and promoting fibrosis. MD simulations and Conclusions: This study identified the FN1-Itgαvβ6 interaction as a critical driver of fibrosis in RC. These findings suggest that ICA II may serve as a promising therapeutic agent for RC by targeting the FN1/Itgαvβ6-PI3K/AKT signaling axis to mitigate fibrosis progression.

Indexed as

cell‒cell communicationFN1Icariside IIItgαvβ6radiation cystitissingle-cell RNA sequencing

Identifiers

PMID42682324
PMCPMC13336606

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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.