Evidence map›Paper›PMID 41289299›Full record

ArticlePloS one2025

Quantitative proteomic analysis reveals key proteins involved in radiation-induced brain injury.

Jing Liu, Junshuang Wang, Shuang Lv, Hengjiao Wang, Defu Yang, Ying Zhang, Ying Li, Huiling Qu, Ying Xu, Ying Yan

Abstract read
In one paragraph

Article in PloS one, 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

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Jing LiuDepartment of Radiation Oncology, General Hospital of Northern Theater Command, Shenyang, China.
Junshuang WangDepartment of Abdominal Radiation Oncology Ward I, Cancer Hospital of Dalian University of Technology, Shenyang, China.
Shuang LvShandong Province Heze Municipal Hospital, Heze, China.
Hengjiao WangDepartment of Radiation Oncology, General Hospital of Northern Theater Command, Shenyang, China.
Defu YangDepartment of Radiation Oncology, General Hospital of Northern Theater Command, Shenyang, China.
Ying ZhangDepartment of Radiation Oncology, General Hospital of Northern Theater Command, Shenyang, China.
Ying LiDepartment of Radiation Oncology, General Hospital of Northern Theater Command, Shenyang, China.
Huiling QuDepartment of Neurology, General Hospital of Northern Theater Command, Shenyang, China.
Ying XuDepartment of Radiation Oncology, General Hospital of Northern Theater Command, Shenyang, China.ORCID https://orcid.org/0000-0002-5523-4168
Ying YanDepartment of Radiation Oncology, General Hospital of Northern Theater Command, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveRadiation-induced brain injury (RIBI) is a significant complication following radiotherapy for brain tumors, leading to neurocognitive deficits and other neurological impairments. This study aims to identify potential biomarkers and therapeutic targets for RIBI by utilizing advanced proteomic techniques to explore the molecular mechanisms underlying RIBI.

methodsA rat model of RIBI was established and subjected to whole-brain irradiation (30 Gy). Tandem mass tagging (TMT)-based quantitative proteomics, combined with high-resolution mass spectrometry, was used to identify differentially expressed proteins (DEPs) in the brain tissues of irradiated rats. Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were conducted to identify the biological processes and pathways involved. Protein-protein interaction (PPI) networks were constructed to identify key hub proteins.

resultsA total of 35 DEPs were identified, including PHLDA3, APOE and CPE. GO enrichment analysis revealed that the DEPs were mainly involved in lipid transport, cell adhesion, and metabolic processes. KEGG analysis highlighted the enrichment of pathways related to metabolism, tight junctions, and PPAR signaling. APOE was identified as a key hub protein through PPI network analysis, indicating its potential role in RIBI pathophysiology. Immunohistochemistry further validated the increased expression of PHLDA3, APOE, and CPE in the brain tissue of irradiated rats.

conclusionThis study provides valuable insights into the molecular mechanisms of RIBI by identifying key proteins and their associated pathways. The findings suggest that these proteins, particularly APOE and PHLDA3, could serve as potential biomarkers and therapeutic targets for clinical intervention in RIBI. These results not only enhance our understanding of RIBI's molecular pathology but also open new avenues for the development of targeted therapies to mitigate radiation-induced neurotoxicity.

Indexed as

Brain InjuriesProteomeProteomicsRadiation InjuriesRadiation Injuries, ExperimentalAnimalsBiomarkersBrainGene OntologyMaleProtein Interaction MapsRatsRats, Sprague-DawleyBiomarkersProteome

Identifiers

PMID41289299
PMCPMC12646473

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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 Socratic graph.