Evidence map›Paper›PMID 40241082›Full record

ArticleLipids in health and disease2025

Radiation induced dermatitis by increasing triglyceride levels to induce autophagy and inhibit the PI3K/Akt/mTOR signaling pathway.

Yafang Hong, Hongdan Guan, Yunhao Chen, Yao Wang, Junjian Lin, Ying Wang, Yang Zhang, Rong Zheng, Xingchen Ding, Zihan Zhou and 1 more

Abstract read
In one paragraph

Article in Lipids in health and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Yafang Hong *Department of Radiation Oncology, Fujian Medical University Union Hospital, Fuzhou, China.
Hongdan Guan *Department of Radiation Oncology, Fujian Medical University Union Hospital, Fuzhou, China.
Yunhao Chen *Department of Radiation Oncology, Jiangsu Cancer Hospital, The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Institute of Cancer Research, Nanjing, China.
Yao WangDepartment of Radiation Oncology, Fujian Medical University Union Hospital, Fuzhou, China.
Junjian LinDepartment of Radiation Oncology, Fujian Medical University Union Hospital, Fuzhou, China.
Ying WangDepartment of Radiation Oncology, Fujian Medical University Union Hospital, Fuzhou, China.
Yang ZhangDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, Shandong, China.
Rong ZhengDepartment of Radiation Oncology, Fujian Medical University Union Hospital, Fuzhou, China. zhengrrong@outlook.com.
Xingchen DingDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, Shandong, China. SDdingxingchen@126.com.
Zihan ZhouDepartment of Radiation Oncology, Fujian Medical University Union Hospital, Fuzhou, China. zihanzhou123@163.com.
Benhua XuDepartment of Radiation Oncology, Fujian Medical University Union Hospital, Fuzhou, China. benhuaxu123@126.com.

Funding

China Postdoctoral Science Foundation 2023M734299Fujian Provincial Natural Science Foundation of China 2022J02037National Natural Science Foundation of China 82202958Science Technology Program of Jinan 202225013
6 · The paper itself

Abstract

backgroundRadiodermatitis (RD) is the primary acute adverse effect experienced by patients receiving radiotherapy (RT) for head and neck cancer (HNC). This study aimed to investigate the correlation between triglyceride (TG) levels and the severity of RD, as well as the underlying mechanisms involved.

methodsData were collected from 248 patients with locally advanced HNC treated with intensity-modulated radiation therapy (IMRT). Clinical characteristics and blood profiles prior to RT were collected. After RT, RD severity was assessed. A binary logistic regression analysis was used to determine risk factors. Mouse models of RD were established by administering radiating at a dose of 9 Gy over two consecutive days. TG levels in the mice and cells were quantified using an automatic biochemical analyzer and a TG assay kit, respectively. Cell viability was detected by the Cell Counting Kit-8 (CCK-8) assay, while apoptotic cell percentages were measured via flow cytometry. Western blotting assay was used to analyze the protein levels in the cells of interest.

resultsThe TG level was the sole independent risk factor for grade 3 or higher (grade 3+) RD. Radiation was found to increase the TG content in both mouse blood and skin cells. Skin cells with high TG contents presented more severe radiation-induced damage when the radiation dose administered was 9 Gy over two consecutive days. The administration of 200 µmol/L palmitic acid (PA) or 2 Gy radiation independently did not affect HaCaT cell proliferation or apoptosis rates. Their combination was shown to induce skin cell injury. Mechanistically, autophagy was excessively activated. Furthermore, the protein concentrations of phospho-PI3K, phospho-Akt, and phospho-mTOR were notably decreased.

conclusionsTGs are crucially involved in the development of RD. Increased TG levels after radiation treatment suppress the PI3K/Akt/mTOR pathway, induce autophagy, and exacerbate RD.

Indexed as

AutophagyHead and Neck NeoplasmsPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktRadiodermatitisTOR Serine-Threonine KinasesTriglyceridesAgedAnimalsApoptosisFemaleHumansMaleMiceMiddle AgedSignal TransductionMTOR protein, humanPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktTOR Serine-Threonine KinasesTriglyceridesAutophagyHead and neck cancerPI3K/Akt/mTOR pathwayRadiodermatitisTriglyceride

Identifiers

PMID40241082
PMCPMC12004620

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.