Evidence map›Paper›PMID 38392316›Full record

ReviewBiology2024

A Review: Multi-Omics Approach to Studying the Association between Ionizing Radiation Effects on Biological Aging.

Nathan A Ruprecht, Sonalika Singhal, Kalli Schaefer, Om Panda, Donald Sens, Sandeep K Singhal

Open access · goldAbstract readReview
In one paragraph

Review in Biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Effects of Fractionated Low Dose Ionizing Radiation on Cellular Senescence in Mouse Lung Tissue.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  3. Germ cells and the aging niche: a systems approach to reproductive longevity.Journal of assisted reproduction and genetics · 2025
    Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Analysis of total RNA as a potential biomarker of Parkinson's disease in silico.International journal of immunopathology and pharmacology
    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 2 institutions in 1 country.

Nathan A RuprechtDepartment of Biomedical Engineering, University of North Dakota, Grand Forks, ND 58202, USA.ORCID 0000-0003-2996-8720
Sonalika SinghalDepartment of Pathology, University of North Dakota, Grand Forks, ND 58202, USA.ORCID 0000-0002-2046-5775
Kalli SchaeferDepartment of Biomedical Engineering, University of North Dakota, Grand Forks, ND 58202, USA.
Om PandaDepartment of Public Health, University of California Irvine, Irvine, CA 92697, USA.
Donald SensDepartment of Pathology, University of North Dakota, Grand Forks, ND 58202, USA.
Sandeep K SinghalDepartment of Biomedical Engineering, University of North Dakota, Grand Forks, ND 58202, USA.ORCID 0000-0002-3486-067X
University of North Dakota · USUniversity of California, Irvine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multi-omics studies have emerged as powerful tools for tailoring individualized responses to various conditions, capitalizing on genome sequencing technologies' increasing affordability and efficiency. This paper delves into the potential of multi-omics in deepening our understanding of biological age, examining the techniques available in light of evolving technology and computational models. The primary objective is to review the relationship between ionizing radiation and biological age, exploring a wide array of functional, physiological, and psychological parameters. This comprehensive review draws upon an extensive range of sources, including peer-reviewed journal articles, government documents, and reputable websites. The literature review spans from fundamental insights into radiation effects to the latest developments in aging research. Ionizing radiation exerts its influence through direct mechanisms, notably single- and double-strand DNA breaks and cross links, along with other critical cellular events. The cumulative impact of DNA damage forms the foundation for the intricate process of natural aging, intersecting with numerous diseases and pivotal biomarkers. Furthermore, there is a resurgence of interest in ionizing radiation research from various organizations and countries, reinvigorating its importance as a key contributor to the study of biological age. Biological age serves as a vital reference point for the monitoring and mitigation of the effects of various stressors, including ionizing radiation. Ionizing radiation emerges as a potent candidate for modeling the separation of biological age from chronological age, offering a promising avenue for tailoring protocols across diverse fields, including the rigorous demands of space exploration.

Indexed as

bioinformaticsbiological ageionizing radiationmulti-omics

Identifiers

PMID38392316
PMCPMC10886797
OpenAlexW4391559645

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.