Evidence map›Paper›PMID 40986472›Full record

ArticlePloS one2025

Influence of age and sex on the relative biological effectiveness of 13-keV/μm carbon ions for lifespan shortening of B6C3F1 Mice.

Shizuko Kakinuma, Yi Shang, Yoshiko Amasaki, Shinobu Hirano-Sakairi, Tomoko Sawai, Takamitsu Morioka, Kazuhiro Daino, Benjamin J Blyth, Mayumi Nishimura, Masaaki Sunaoshi and 3 more

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. 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

13 authors.

Shizuko KakinumaDepartment of Radiation Effects Research, Institute for Radiological Science, National Institutes for Quantum Science and Technology (QST), Japan.ORCID https://orcid.org/0000-0001-9635-8813
Yi ShangDepartment of Radiation Effects Research, Institute for Radiological Science, National Institutes for Quantum Science and Technology (QST), Japan.
Yoshiko AmasakiDepartment of Radiation Effects Research, Institute for Radiological Science, National Institutes for Quantum Science and Technology (QST), Japan.
Shinobu Hirano-SakairiRadiobiology for Children's Health Program, Research Center for Radiation Protection, National Institute of Radiological Sciences, Chiba, Japan.
Tomoko SawaiRadiobiology for Children's Health Program, Research Center for Radiation Protection, National Institute of Radiological Sciences, Chiba, Japan.
Takamitsu MoriokaDepartment of Radiation Effects Research, Institute for Radiological Science, National Institutes for Quantum Science and Technology (QST), Japan.
Kazuhiro DainoDepartment of Radiation Effects Research, Institute for Radiological Science, National Institutes for Quantum Science and Technology (QST), Japan.
Benjamin J BlythRadiobiology for Children's Health Program, Research Center for Radiation Protection, National Institute of Radiological Sciences, Chiba, Japan.
Mayumi NishimuraDepartment of Radiation Effects Research, Institute for Radiological Science, National Institutes for Quantum Science and Technology (QST), Japan.
Masaaki SunaoshiDepartment of Radiation Effects Research, Institute for Radiological Science, National Institutes for Quantum Science and Technology (QST), Japan.ORCID https://orcid.org/0000-0003-3970-0701
Chizuru TsuruokaDepartment of Radiation Effects Research, Institute for Radiological Science, National Institutes for Quantum Science and Technology (QST), Japan.
Tatsuhiko ImaokaDepartment of Radiation Effects Research, Institute for Radiological Science, National Institutes for Quantum Science and Technology (QST), Japan.ORCID https://orcid.org/0000-0003-1507-585X
Yoshiya ShimadaDepartment of Radiation Effects Research, Institute for Radiological Science, National Institutes for Quantum Science and Technology (QST), Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiological studies of Japanese atomic bomb survivors indicate that the risk of cancer from radiation exposure is higher in individuals who are relatively young at the time of exposure, with women facing a more significant risk compared to men. However, this type of data is limited for other radiation types, such as particle radiations. Low linear energy transfer (LET) carbon ions are a type of particle radiation to which humans may be exposed as cosmic radiation during long-duration space missions and as radiation passing through healthy tissue during carbon ion radiotherapy. This raises concerns about the risk of late complications, including cancer development. To address these issues, we examined the lifespan of mice after exposure to γ rays or low-LET carbon-ion beams, assessed the effects of sex and age at the time of exposure, and calculated the RBE. Male and female B6C3F1 mice of various ages (embryonic days 3, 13, and 17, and postnatal weeks 1, 3, 7, and 15) were whole-body irradiated a single time with 137Cs γ rays (662 keV) or 290-MeV/u monoenergetic carbon ions (LET, ~ 13 keV/µm), and their lifespan was analyzed. For both γ rays and carbon ions, the hazard ratio for mortality increased in a dose-dependent manner, was higher for females than for males, and peaked at 1 week of age at the time of exposure. The RBE of low-LET carbon ions for lifespan shortening was 0.9-1.8 for females and 1.2-2.0 for males, regardless of the age at exposure. Thus, the risk associated with low-LET carbon ion exposure varied with age and sex, but RBE did not. These findings provide essential data for assessing the impacts of low-LET carbon ion exposure.

Indexed as

CarbonLongevityRelative Biological EffectivenessAge FactorsAnimalsFemaleGamma RaysHeavy Ion RadiotherapyLinear Energy TransferMaleMiceSex FactorsWhole-Body IrradiationCarbon

Identifiers

PMID40986472
PMCPMC12456818

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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.