Evidence map›Paper›PMID 39777205›Full record

ArticleNational science review2025

Trophic transfer of carbon-14 from algae to zebrafish leads to its blending in biomolecules and the dysregulation of metabolism via isotope effect.

Shipeng Dong, Renquan Deng, Hang Zeng, Pengfei Xue, Sijie Lin, Dongmei Zhou, Liang Mao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in National science review, 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

7 authors.

Shipeng DongState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Chemistry and Biomedicine Innovation Center, Nanjing University, Nanjing 210023, China.
Renquan DengState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Chemistry and Biomedicine Innovation Center, Nanjing University, Nanjing 210023, China.
Hang ZengState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Chemistry and Biomedicine Innovation Center, Nanjing University, Nanjing 210023, China.
Pengfei XueState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Chemistry and Biomedicine Innovation Center, Nanjing University, Nanjing 210023, China.
Sijie LinCollege of Environmental Science & Engineering, State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, Shanghai 200092, China.
Dongmei ZhouState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Chemistry and Biomedicine Innovation Center, Nanjing University, Nanjing 210023, China.
Liang MaoState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Chemistry and Biomedicine Innovation Center, Nanjing University, Nanjing 210023, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbon-14 (C-14) has been a major contributor to the human radioactive exposure dose, as it is released into the environment from the nuclear industry in larger quantities compared to other radionuclides. This most abundant nuclide enters the biosphere as organically bound C-14 (OBC-14), posing a potential threat to public health. Yet, it remains unknown how this relatively low radiotoxic nuclide induces health risks via chemical effects, such as isotope effect. By establishing a trophic transfer model involving algae (

Indexed as

isotope effectsisotopic substitutionmetabolism dysregulationorganically bound carbon-14trophic transfer

Identifiers

PMID39777205
PMCPMC11706001

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.