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Radiofrequency radiation-induced gene expression

PAPER manual Reviews on Environmental Health 2025 Review Effect: harm Evidence: Low

Abstract

Category: Molecular Biology, Environmental Health Tags: radiofrequency radiation, gene expression, EMF, oxidative stress, DNA damage, biological effects, safety guidelines DOI: 10.1515/reveh-2025-0104 URL: degruyterbrill.com Overview Genes in cells are differentially expressed in response to internal and external environmental changes. These gene expression shifts are generally adaptive, helping restore cellular homeostasis. Numerous studies have documented alterations in gene expression following exposure to radiofrequency radiation (RFR), the type of energy emitted by wireless communication devices. Findings - Key genes affected by RFR are involved in protein repair, cellular stress response, oxidative processes, apoptosis, DNA damage detection and repair, and neural function regulation. - Gene expression data supports the classification of RFR as a stressor that induces oxidative changes, DNA damage, and protein damage across various biological systems and exposure conditions. - These significant gene expression changes are corroborated by findings from other biological studies on RFR exposure. - Major guidelines (e.g., ICNIRP, IEEE) set 0.4 W/kg SAR as safe, but 40 gene expression effects were observed at or below this threshold, raising questions about international safety standards. - Over 200 studies have reported biological effects at SAR levels below 0.4 W/kg, further challenging current regulatory models. Discussion Gene expressions are tightly regulated and can demonstrate complex, sometimes non-linear responses to RFR depending on various parameters. While not all studies observe significant effects, substantial evidence indicates that RFR can influence gene expression related to cell stress, DNA processes, and brain function even at low exposure levels. Some studies provide direct evidence of increased translation of genes into functional proteins following RFR exposure, highlighting the importance of considering proteomic changes for a comprehensive understanding of health impacts. Two key areas for future research are emphasized: - Detailed mechanisms of cellular stress from RFR exposure, including involvement of the hypothalamic-pituitary-adrenal axis and limbic system. - Systematic study of cellular oxidative processes, particularly the induction of free radicals by RFR and the potential role of low-frequency modulations. Conclusion Alterations in gene expression, especially at environmental levels of RFR exposure, are clearly documented. Current evidence underscores the need for further research and consideration in the development of RFR exposure guidelines, as changes in genes and subsequent protein translation may sustain both health and illness. Importantly, similar gene expression effects have been reported with exposure to extremely low-frequency electromagnetic fields, reinforcing concerns over EMF-related health risks.

AI evidence extraction

At a glance
Study type
Review
Effect direction
harm
Population
cells and biological systems exposed to radiofrequency radiation
Sample size
Exposure
RF wireless communication devices
Evidence strength
Low
Confidence: 89% · Peer-reviewed: yes

Main findings

This review states that numerous studies report differential gene expression in cells exposed to radiofrequency radiation from wireless communication devices. It summarizes that affected genes are involved in stress responses, oxidative changes, apoptosis, DNA damage detection and repair, protein repair, and neural functions, and concludes that gene expression data support RFR as a cellular stressor associated with oxidative changes and DNA and protein damage.

Outcomes measured

  • gene expression changes
  • stress response genes
  • oxidative changes
  • apoptosis-related genes
  • DNA damage detection and repair genes
  • protein damage/repair genes
  • changes in neural function-related genes

Limitations

  • Review article; no primary sample described in the abstract
  • Exposure parameters such as frequency, SAR, and duration are not specified in the abstract
  • Population and study designs of included studies are not detailed in the abstract
View raw extracted JSON
{
    "study_type": "review",
    "exposure": {
        "band": "RF",
        "source": "wireless communication devices",
        "frequency_mhz": null,
        "sar_wkg": null,
        "duration": null
    },
    "population": "cells and biological systems exposed to radiofrequency radiation",
    "sample_size": null,
    "outcomes": [
        "gene expression changes",
        "stress response genes",
        "oxidative changes",
        "apoptosis-related genes",
        "DNA damage detection and repair genes",
        "protein damage/repair genes",
        "changes in neural function-related genes"
    ],
    "main_findings": "This review states that numerous studies report differential gene expression in cells exposed to radiofrequency radiation from wireless communication devices. It summarizes that affected genes are involved in stress responses, oxidative changes, apoptosis, DNA damage detection and repair, protein repair, and neural functions, and concludes that gene expression data support RFR as a cellular stressor associated with oxidative changes and DNA and protein damage.",
    "effect_direction": "harm",
    "limitations": [
        "Review article; no primary sample described in the abstract",
        "Exposure parameters such as frequency, SAR, and duration are not specified in the abstract",
        "Population and study designs of included studies are not detailed in the abstract"
    ],
    "evidence_strength": "low",
    "confidence": 0.89000000000000001332267629550187848508358001708984375,
    "peer_reviewed_likely": "yes",
    "keywords": [
        "radiofrequency radiation",
        "RFR",
        "gene expression",
        "oxidative stress",
        "DNA damage",
        "protein damage",
        "apoptosis",
        "neural function",
        "wireless communication devices",
        "review"
    ],
    "suggested_hubs": []
}

AI can be wrong. Always verify against the paper.

AI-extracted fields are generated from the abstract/metadata and may be incomplete or incorrect. This content is for informational purposes only and is not medical advice.

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