Evidence map›Paper›PMID 35791446›Full record

ArticleJournal of radiation research2022

Proteomic and miRNA profiling of radon-induced skin damage in mice: FASN regulated by miRNAs.

Wei Mo, Wanglei Xu, Min Hong, Tingyi Yang, Yuhong Shi, Yang Jiao, Jihua Nie, Fengmei Cui, Jianping Cao, Shuyu Zhang

Open access · goldAbstract read
In one paragraph

Article in Journal of radiation research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 39% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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

10 authors at 5 institutions in 2 countries.

Wei MoSchool of Radiation Medicine and Protection, State Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou 215123, China.
Wanglei XuSchool of Radiation Medicine and Protection, State Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou 215123, China.
Min HongSchool of Radiation Medicine and Protection, State Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou 215123, China.
Tingyi YangWest China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China.
Yuhong ShiSecond Affiliated Hospital of Chengdu Medical College, China National Nuclear Corporation 416 Hospital, Chengdu 610051, China.
Yang JiaoSchool of Radiation Medicine and Protection, State Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou 215123, China.
Jihua NieSchool of Radiation Medicine and Protection, State Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou 215123, China.
Fengmei CuiSchool of Radiation Medicine and Protection, State Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou 215123, China.
Jianping CaoSchool of Radiation Medicine and Protection, State Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou 215123, China.
Shuyu ZhangWest China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China.
Soochow University · CNEnvironmental Protection Engineering (Greece) · GRChengdu Medical College · CNSichuan University · CNWest China Medical Center of Sichuan University · CN

Funding

Fundamental Research Funds for the Central UniversitiesNational Natural Science Foundation of China U1967220Young Talent Project of China National Nuclear Corporation
6 · The paper itself

Abstract

Radon is a naturally occurring radioactive gas and considered as a serious carcinogen to humans. Continuous radioactive decay of this gas emits high-energy alpha particles. Long-term radon exposure induces oxidative stress and inflammatory response, which results in chronic lung diseases. However, biological effects after radon exposure in other organs have been rarely reported. As the outermost organ of the human body, the skin suffers from environmental damage to agents such as air pollution. Epidemiological studies indicated that areas with high level of radon had a high incidence of skin cancer. However, whether radon exposure induces skin damage has not been reported yet. In this study, we established a radon-exposed mouse model and found that radon exposure affected the structure of skin tissues, which was manifested by inflammatory cell infiltration and skin atrophy. Using proteomic approach, we found 45 preferentially expressed proteins in 60 Working Level Months (WLM) group and 314 preferentially expressed proteins in 120 WLM group from radon-exposed skin tissues. Through microRNA (miRNA) sequencing profiling analysis, 57 dysregulated miRNAs were screened between the control and radon-treated mouse skin. By integrating the dysregulated proteins and miRNAs, radon-induced fatty acid synthase (FASN) was investigated in greater detail. Results showed that FASN was regulated by miR-206-3p and miR-378a-3p and involved in the pathogenesis of radon-induced skin damage. Overexpression of FASN inhibited the proliferation, and induced in WS1 cells. Our present findings illustrate the molecular change during radon-induced skin damage and the potential role of FASN during this process.

Indexed as

Air Pollutants, RadioactiveCarcinogensMicroRNAsRadonSkinAnimalsFatty Acid Synthase, Type IHumansMiceNeoplasms, Radiation-InducedProteomicsSkin NeoplasmsAir Pollutants, RadioactiveCarcinogensFasn protein, mouseFatty Acid Synthase, Type IMicroRNAsRadonfatty acid synthase (FASN)miRNA profilingprotein profilingRadonskin

Identifiers

PMID35791446
PMCPMC9494515
OpenAlexW4283828079

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.