Evidence map›Paper›PMID 33546472›Full record

ArticleLife (Basel, Switzerland)2021

A Meta-Analysis of the Effects of High-LET Ionizing Radiations in Human Gene Expression.

Theodora-Dafni Michalettou, Ioannis Michalopoulos, Sylvain V Costes, Christine E Hellweg, Megumi Hada, Alexandros G Georgakilas

Open access · goldAbstract read
In one paragraph

Article in Life (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Biological effects of high-LET irradiation on the circulatory system.International journal of radiation biology · 2025
    Pooled it
  2. Article
  3. Article
  4. Review
  5. A perspective on tumor radiation resistance following high-LET radiation treatment.Journal of cancer research and clinical oncology · 2024
    Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. 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 at 5 institutions in 3 countries.

Theodora-Dafni MichalettouDNA Damage Laboratory, Physics Department, School of Applied Mathematical and Physical Sciences, National Technical University of Athens, 157 80 Athens, Greece.ORCID 0000-0003-2119-1099
Ioannis MichalopoulosCentre of Systems Biology, Biomedical Research Foundation, Academy of Athens, 115 27 Athens, Greece.ORCID 0000-0001-8991-8712
Sylvain V CostesNASA Ames Research Center, Space Biosciences, Moffett Field, CA 94035, USA.ORCID 0000-0002-8542-2389
Christine E HellwegRadiation Biology Department, Institute of Aerospace Medicine, German Aerospace Center (DLR), Linder Hoehe, 51147 Cologne, Germany.ORCID 0000-0002-2223-3580
Megumi HadaRadiation Institute for Science & Engineering, Prairie View A&M University, Prairie View, TX 77446, USA.ORCID 0000-0002-8523-9111
Alexandros G GeorgakilasDNA Damage Laboratory, Physics Department, School of Applied Mathematical and Physical Sciences, National Technical University of Athens, 157 80 Athens, Greece.ORCID 0000-0002-5971-0010
National Technical University of Athens · GRAcademy of Athens · GRAmes Research Center · USDeutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) · DEPrairie View A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of high linear energy transfer (LET) ionizing radiation (IR) is progressively being incorporated in radiation therapy due to its precise dose localization and high relative biological effectiveness. At the same time, these benefits of particle radiation become a high risk for astronauts in the case of inevitable cosmic radiation exposure. Nonetheless, DNA Damage Response (DDR) activated via complex DNA damage in healthy tissue, occurring from such types of radiation, may be instrumental in the induction of various chronic and late effects. An approach to elucidating the possible underlying mechanisms is studying alterations in gene expression. To this end, we identified differentially expressed genes (DEGs) in high Z and high energy (HZE) particle-, γ-ray- and X-ray-exposed healthy human tissues, utilizing microarray data available in public repositories. Differential gene expression analysis (DGEA) was conducted using the R programming language. Consequently, four separate meta-analyses were conducted, after DEG lists were grouped depending on radiation type, radiation dose and time of collection post-irradiation. To highlight the biological background of each meta-analysis group, functional enrichment analysis and biological network construction were conducted. For HZE particle exposure at 8-24 h post-irradiation, the most interesting finding is the variety of DNA repair mechanisms that were downregulated, a fact that is probably correlated with complex DNA damage formation. Simultaneously, after X-ray exposure during the same hours after irradiation, DNA repair mechanisms continue to take place. Finally, in a further comparison of low- and high-LET radiation effects, the most prominent result is that autophagy mechanisms seem to persist and that adaptive immune induction seems to be present. Such bioinformatics approaches may aid in obtaining an overview of the cellular response to high-LET particles. Understanding these response mechanisms can consequently aid in the development of countermeasures for future space missions and ameliorate heavy ion treatments.

Indexed as

computational radiobiologydifferential gene expressionDNA damage responsefunctional enrichment analysishigh-LETmeta-analysismicroarraysspace radiation

Identifiers

PMID33546472
PMCPMC7913660
OpenAlexW3128699264

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.