Evidence map›Paper›PMID 39934345›Full record

ArticleScientific reports2025

Serum biomarkers associated with health impacts of high residential radon exposure: a metabolomic pilot study.

Narongchai Autsavapromporn, Aphidet Duangya, Pitchayaponne Klunklin, Imjai Chitapanarux, Chutima Kranrod, Churdsak Jaikang, Tawachai Monum, Atchara Paemanee, Shinji Tokonami

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Article
  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

9 authors.

Narongchai AutsavaprompornDivision of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand. narongchai.a@cmu.ac.th.
Aphidet DuangyaDivision of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
Pitchayaponne KlunklinDivision of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
Imjai ChitapanaruxDivision of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
Chutima KranrodInstitute of Radiation Emergency Medicine, Hirosaki University, Hirosaki, 036-8564, Aomori, Japan.
Churdsak JaikangToxicology Section, Department of Forensic Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
Tawachai MonumToxicology Section, Department of Forensic Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
Atchara PaemaneeNational Omics Center, National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Khlong Luang, Pathum Thani, 12120, Thailand.
Shinji TokonamiInstitute of Radiation Emergency Medicine, Hirosaki University, Hirosaki, 036-8564, Aomori, Japan.

Funding

Fundamental Fund 2024, Chiang Mai University FF004/2567
6 · The paper itself

Abstract

Long-term epidemiological evidence suggests that populations exposed to high natural radiation levels for extended periods may have an increased risk of cancer and other diseases. However, research on health effects in high-radon areas, particularly regarding disease-related biomarkers, remains limited. This study aimed to investigate serum metabolic biomarkers associated with diseases in individuals from areas with high radon exposure. Metabolic profiling was performed using ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry on 30 healthy participants comprising 15 individuals from a low-residential radon exposure group and 15 from a high-residential radon exposure group. Multivariate analysis, receiver operating characteristic (ROC) curve analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were applied. Partial least-squares discriminant analysis revealed significant differences (P < 0.05) between the two groups, identifying 92 metabolites. ROC analysis (AUC ≥ 0.85) highlighted 12 key candidates associated with high radon exposure. KEGG pathway analysis linked D-sphingosine to lung cancer development and 3-methylhistidine to kidney disease, early preeclampsia, and Alzheimer's disease. These findings suggest that D-sphingosine and 3-methylhistidine are promising serum biomarkers for identifying high-risk individuals with prolonged radon exposure and contribute to the identification of novel biomarkers in future studies on high-radon exposure areas.

Indexed as

BiomarkersEnvironmental ExposureMetabolomicsRadiation ExposureRadonAdultFemaleHumansMaleMetabolomeMiddle AgedPilot ProjectsROC CurveBiomarkersRadon3-methylhistidineBiomarkersD-sphingosineMetabolomicRadon

Identifiers

PMID39934345
PMCPMC11814192

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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.