Evidence map›Paper›PMID 40821765›Full record

ArticleFrontiers in immunology2025

R5S4TRAIL ameliorates radiation-induced pulmonary fibrosis by alleviating inflammatory responses and promoting apoptosis of fibroblasts.

Yaqin Zhao, Yuanfeng Wei, Wanting Hou, Xianzhou Huang, Qiaoqi Li, Cheng Yi

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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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

6 authors.

Yaqin Zhao *Division of Abdominal Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Yuanfeng Wei *Division of Abdominal Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Wanting HouDivision of Abdominal Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Xianzhou HuangDepartment of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Qiaoqi LiDivision of Abdominal Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Cheng YiDivision of Abdominal Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Radiation-induced pulmonary fibrosis (RIPF) is a chronic, fatal and irreversible disease that develops after a consequence of thoracic radiation therapy and few effective treatments have been developed for this condition. Repeated inflammation and excessive accumulation of fibroblasts are features of RIPF. Thus, reducing inflammation and inducing lung fibroblast apoptosis may be an effective strategy for RIPF. Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL), as a natural immunomodulator, can specifically bind to death receptors (DRs) and selectively induce apoptosis in many cells. In our research, we have constructed a novel TRAIL mutant with CPP-like and Smac-like structure (R5S4TRAIL) and aim to explore the role and molecular mechanism of R5S4TRAIL in RIPF. Methods: Firstly, the RIPF model was established in C57BL/6 mice. Then, the mice were treated with saline (Con group), dexamethasone (Dex group), or R5S4TRAIL (RST group). The remission of RIPF was evaluated by micro-CT, Masson and hematoxylin-eosin (HE) staining. Next, the molecular mechanisms of R5S4TRAIL in RIPF were explored Results: We successfully established the RIPF model and found that R5S4TRAIL treatment could regulate the expression of inflammatory-related cytokines and attenuate the inflammatory response. Meanwhile, R5S4TRAIL treatment could upregulate DR5 expression and induce apoptosis in lung fibroblasts. Briefly, treatment with R5S4TRAIL could alleviate RIPF. Conclusions: R5S4TRAIL has the potential to ameliorate RIPF by alleviating inflammatory responses and promoting apoptosis of fibroblasts.

Indexed as

ApoptosisFibroblastsPulmonary FibrosisTNF-Related Apoptosis-Inducing LigandAnimalsDisease Models, AnimalHumansInflammationLungMaleMiceMice, Inbred C57BLReceptors, TNF-Related Apoptosis-Inducing LigandReceptors, TNF-Related Apoptosis-Inducing LigandTNF-Related Apoptosis-Inducing LigandTnfsf10 protein, mouseapoptosisdeath receptor (DR)inflammatoryR5S4TRAILradiation-induced pulmonary fibrosis (RIPF)

Identifiers

PMID40821765
PMCPMC12350115

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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.