Evidence map›Paper›PMID 39538046›Full record

ReviewCardiovascular toxicology2025

Cohort Studies and Multi-omics Approaches to Low-Dose Ionizing Radiation-Induced Cardiovascular Disease: A Comprehensive Review.

Xumin Zong, Lin Zhu, Yan Wang, Jinhan Wang, Yeqing Gu, Qiang Liu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cardiovascular toxicology, 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

6 authors.

Xumin ZongInstitute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, No.238 Baidi Road, Nankai District, Tianjin, 300192, China.
Lin ZhuSchool of Basic Medical Sciences, Weifang Medical University, Shandong, 261000, China.
Yan WangInstitute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, No.238 Baidi Road, Nankai District, Tianjin, 300192, China.
Jinhan WangInstitute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, No.238 Baidi Road, Nankai District, Tianjin, 300192, China.
Yeqing GuInstitute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, No.238 Baidi Road, Nankai District, Tianjin, 300192, China. guyeqing@irm-cams.ac.cn.
Qiang LiuInstitute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, No.238 Baidi Road, Nankai District, Tianjin, 300192, China. liuqiang@irm-cams.ac.cn.

Funding

CAMS Innovation Fund for Medical Science 2021-I2M-1-042National Natural Science Foundation of China 82103837The Open Project of Henan Key Laboratory of Radiobiology and Radiation Epidemiology HNRBEKF202405
6 · The paper itself

Abstract

The effect of low-dose ionizing radiation exposure on the risk of cardiovascular disease (CVD) represents a significant concern in the field of radiation protection. The prevailing approach to mitigating the adverse effects of low-dose or low-dose-rate radiation does not currently incorporate the potential risk of CVD, despite the possibility that such risk may be a substantial contributor to overall health hazards. Current evidence suggests a potential association between radiation exposure and CVD; however, the overall findings remain inconclusive. This is particularly due to the uncertainty surrounding the influence of significant non-radiation risk factors on the associations reported in epidemiological studies. It is difficult to discern the underlying connection in observational epidemiology when there is substantial variation in baseline risk factors. The paucity of epidemiological research in this domain is being partially offset by the advancement of multi-omics approaches. These methods assist in identifying radiosensitive targets, comprehending underlying biological processes, and pinpointing biomarkers. This, in turn, fortifies the evidence gleaned from epidemiological studies. In this review, we delve into the body of epidemiological research pertaining to CVD induced by low-dose ionizing radiation and the application of multi-omics techniques. The integration of these two methodologies holds the promise of identifying specific molecules or biological pathways that can be employed to validate endpoints related to radiation risk assessment.

Indexed as

Cardiovascular DiseasesCardiovascular SystemGenomicsMetabolomicsProteomicsRadiation ExposureRadiation InjuriesAnimalsDose-Response Relationship, RadiationHeart Disease Risk FactorsHumansMultiomicsRadiation DosageRadiation, IonizingRisk AssessmentRisk FactorsCardiovascular diseaseEpidemiological investigationMulti-omicsRadiation

Identifiers

What Socratic holds

Textmetadata
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.