Evidence map›Paper›PMID 38182857›Full record

ReviewGeroScience2024

Irradiation-induced hair graying in mice: an experimental model to evaluate the effectiveness of interventions targeting oxidative stress, DNA damage prevention, and cellular senescence.

Anna Ungvari, Tamas Kiss, Rafal Gulej, Stefano Tarantini, Boglarka Csik, Andriy Yabluchanskiy, Peter Mukli, Anna Csiszar, Melissa L Harris, Zoltan Ungvari

Open access · hybridAbstract readReview
In one paragraph

Review in GeroScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. How human and animal frailty index studies can inform each other: a brief narrative review.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Gray Hair: From Preventive to Treatment.Clinical, cosmetic and investigational dermatology · 2025
    Review
  12. 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

10 authors at 3 institutions in 2 countries.

Anna Ungvari *Department of Public Health, Semmelweis University, Budapest, Hungary. Ungann2004@gmail.com.
Tamas Kiss *International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary.
Rafal Gulej *Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Stefano TarantiniInternational Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary.
Boglarka CsikInternational Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary.
Andriy YabluchanskiyInternational Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary.
Peter MukliDepartment of Public Health, Semmelweis University, Budapest, Hungary.
Anna CsiszarVascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Melissa L HarrisDepartment of Biology, University of Alabama at Birmingham, Birmingham, AL, USA.
Zoltan Ungvari *Department of Public Health, Semmelweis University, Budapest, Hungary.
Semmelweis University · HUUniversity of Alabama at Birmingham · USUniversity of Oklahoma Health Sciences Center · US

Funding

Tracking and Evaluation CoreU54GM104938 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI PAUL G SPICER · 2013 to 2026
$68.2M
Visualizing insulin actions on neuronal metabolism and function using fluorescent biosensorsP20GM125528 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI William Edmund Sonntag · 2019 to 2026
$17.8M
Targeted DNA Methylation and Mitochondrial Heteroplasmy CoreP30AG050911 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI HOLLY VAN REMMEN · 2015 to 2026
$13.9M
Cerebral microhemorrhages and gait dysfunction in agingR01AG055395 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI CSISZAR, ANNA · 2017 to 2025
$2.3M
Age-related vascular cognitive impairment: role of endothelial senescenceR01AG068295 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI CSISZAR, ANNA, UNGVARI, ZOLTAN ISTVAN · 2020 to 2024
$1.8M
The role of IGF-1 signaling in vascular smooth muscle cells in age-related vascular cognitive impairment and dementiaR01AG070915 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI CONLEY, SHANNON M · 2021 to 2025
$1.8M
Radiation-induced astrocyte dysfunction and cognitive declineR01NS100782 · NINDS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI UNGVARI, ZOLTAN ISTVAN · 2018 to 2022
$1.7M
Chemotherapy-induced vascular cognitive impairment: role of endothelial senescenceR01CA255840 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI CSISZAR, ANNA · 2021 to 2025
$1.6M
Cerebromicrovascular rejuvenation by heterochronic blood exchangeRF1AG072295 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI CSISZAR, ANNA, UNGVARI, ZOLTAN ISTVAN · 2021 to 2021
$1.4M
Midlife Obesity, Neurovascular Senescence and Cognitive DeclineK01AG073614 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI TARANTINI, STEFANO · 2021 to 2025
$601k
Targeting adipose tissue thermogenesis for age-related vascular cognitive impairmentK01AG073613 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI BALASUBRAMANIAN, PRIYA · 2021 to 2025
$596k
Time-restricted feeding (TRF) for prevention of age-related vascular cognitive impairment and dementiaR03AG070479 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI TARANTINI, STEFANO · 2022 to 2022
$290k
NCI NIH HHS R01 CA255840NIA NIH HHS K01 AG073613NIA NIH HHS K01 AG073614NIA NIH HHS P30 AG050911NIA NIH HHS R01 AG055395NIA NIH HHS R01 AG068295NIA NIH HHS R01 AG070915NIA NIH HHS R03 AG070479NIA NIH HHS RF1 AG072295NIGMS NIH HHS P20 GM125528NIGMS NIH HHS U54 GM104938NINDS NIH HHS R01 NS100782
6 · The paper itself

Abstract

Hair graying, also known as canities or achromotrichia, is a natural phenomenon associated with aging and is influenced by external factors such as stress, environmental toxicants, and radiation exposure. Understanding the mechanisms underlying hair graying is an ideal approach for developing interventions to prevent or reverse age-related changes in regenerative tissues. Hair graying induced by ionizing radiation (γ-rays or X-rays) has emerged as a valuable experimental model to investigate the molecular pathways involved in this process. In this review, we examine the existing evidence on radiation-induced hair graying, with a particular focus on the potential role of radiation-induced cellular senescence. We explore the current understanding of hair graying in aging, delve into the underlying mechanisms, and highlight the unique advantages of using ionizing-irradiation-induced hair graying as a research model. By elucidating the molecular pathways involved, we aim to deepen our understanding of hair graying and potentially identify novel therapeutic targets to address this age-related phenotypic change.

Indexed as

Cellular SenescenceHair ColorAnimalsDNA DamageHairMiceModels, TheoreticalOxidative StressAchromotrichiaAgingCanitiesHair grayingSenescenceSkin

Identifiers

PMID38182857
PMCPMC11009199
OpenAlexW4390629556

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.