Evidence map›Paper›PMID 39966955›Full record

ArticleJournal of translational medicine2025

Targeting the NLRP3 in macrophages contributes to senescence cell clearance in radiation-induced skin injury.

Gaoyu Liu, Yan Chen, Shijie Dai, Gang Wu, Fulong Wang, Wanchao Chen, Lingling Wu, Peng Luo, Chunmeng Shi

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Materials today. Bio · 2026
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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.

Gaoyu Liu *Institute of Rocket Force Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Yan Chen *Institute of Rocket Force Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Shijie DaiInstitute of Rocket Force Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Gang WuInstitute of Rocket Force Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Fulong WangInstitute of Rocket Force Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Wanchao ChenInstitute of Rocket Force Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Lingling WuInstitute of Rocket Force Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Peng LuoInstitute of Rocket Force Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Third Military Medical University (Army Medical University), Chongqing, 400038, China. luopeng@tmmu.edu.cn.
Chunmeng ShiInstitute of Rocket Force Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Third Military Medical University (Army Medical University), Chongqing, 400038, China. shicm@tmmu.edu.cn.ORCID 0000-0002-8264-738X

Funding

the Key Program of the National Natural Science Foundation of China 82030056
6 · The paper itself

Abstract

backgroundThe persistent accumulation of senescence cells is one of the characteristics of radiation-induced skin injury (RISI), leading to fibrosis and impaired healing. However, the reasons why these senescence cells are resistant to clearance remain unclear.

methodsThe mouse RISI model was established using an X-ray generator, and a shield was used to cover all areas except the skin of the right leg or back for protecting surrounding tissue. ScRNA sequencing, immunohistochemistry, immunofluorescence, qPCR, western blot, primary cell co-culture system and fluorescence microsphere phagocytosis assay were performed for the functional and mechanistic investigations.

resultsThe dynamic changes of senescence cell levels and multiple immune cell levels during RISI were evaluated, we found that macrophages could remove senescence cells from the dermis, and the clearance ability gradually strengthens over time. ScRNA sequencing revealed that macrophages with high senescence clearance capacity exhibited increased NOD-like receptor family pyrin domain-containing 3 (NLRP3) expression compared to those with low senescence clearance capacity. Inhibition or conditional knockout of Nlrp3 in macrophages led to senescence cell clearance dysfunction and impaired healing. Further studies found that interleukin-33 secreted by senescence cells inhibited the expression of NLRP3 in macrophages and their ability to phagocytize senescence cells, especially in the early stages after radiation. In addition, Nocardia rubra cell wall skeleton (Nr-CWS), an approved immunomodulator, was found to activate macrophage NLRP3 expression, reduce senescence cell burden, and accelerate the healing of RISI.

conclusionThis study underscored NLRP3 in macrophages as a critical intervention target for senescence cell immunosurveillance and emphasized Nr-CWS as a potential therapeutic agent for accelerating senescence cell clearance in RISI.

Indexed as

Cellular SenescenceMacrophagesNLR Family, Pyrin Domain-Containing 3 ProteinRadiation InjuriesSkinAnimalsInterleukin-33MaleMiceMice, Inbred C57BLPhagocytosisInterleukin-33NLR Family, Pyrin Domain-Containing 3 ProteinIL-33MacrophagesNLRP3Radiation-induced skin injurySenescence

Identifiers

PMID39966955
PMCPMC11834210

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Registered trials

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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.