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Evaluation of the Genotoxic Effects of Mobile Phone Radiation Using Buccal Micronucleus Assay

PAPER manual 2023 Cross-sectional study Effect: no_effect Evidence: Low

Abstract

Evaluation of the Genotoxic Effects of Mobile Phone Radiation Using Buccal Micronucleus Assay Kadeh H, Saravani S, Moradi M, Alimanesh N. A Comparative Evaluation of the Genotoxic Effects of Mobile Phone Radiation Using Buccal Micronucleus Assay. J Dent (Shiraz). 2023 Mar;24(1 Suppl):118-124. doi: 10.30476/dentjods.2022.92515.1656. Abstract Statement of the problem: Mobile usage has increased worldwide over the past two decades. There are conflicting reports about the carcinogenic effects of cell phone radiation on the oral mucosa. Micronucleus (MN) is considered a reliable marker for genotoxic damage. Purpose: This study aimed to identify the impact of mobile phone radiation on the MN frequency in oral mucosal cells. Materials and method: In this descriptive-analytical study, 50 mobile phone users between the age group of 20- 38 years were included. Samples were obtained from the right and left cheek mucosa of each subject (a total 100 cell samples). Every participant filled out a questionnaire about his or her cell phone usage habits. Additionally, personal information such as age, gender, and body mass index (BMI) were assessed. The Feulgen and Papanicolaou staining methods were used for staining of the cell samples. A total of 1000 cells in each sample were evaluated for MNs. Results: The mean number of MN in exposed and non-exposed mucosa by Feulgen method was 0.71±1.13 and 0.57±1.36, respectively. Also in Papanicolaou staining, the mean number of MN in the exposed mucosa and non- exposed mucosa was 6.94±6.61 and 6.54±6.88, respectively, but these differences were not significant (p> 0.05). The frequency of MN in non-specific DNA staining was significantly (5- to 6-fold) higher than DNA-specific staining. We observed no statically significant differences between MN frequency according to age, gender, BMI, and other cell phone usage habits (p> 0.05). Conclusion: This study showed that cell phone use does not cause genotoxic effects in the buccal mucosa in the oral cavity. Moreover, using non-specific DNA staining methods can increase the frequency of MN by more than 5- to 6-fold. Open access paper: ncbi.nlm.nih.gov

AI evidence extraction

At a glance
Study type
Cross-sectional study
Effect direction
no_effect
Population
Mobile phone users aged 20–38 years
Sample size
50
Exposure
RF mobile phone
Evidence strength
Low
Confidence: 74% · Peer-reviewed: yes

Main findings

In 50 mobile phone users, mean MN counts did not differ significantly between exposed and non-exposed buccal mucosa using either Feulgen staining (0.71±1.13 vs 0.57±1.36) or Papanicolaou staining (6.94±6.61 vs 6.54±6.88; p>0.05). MN frequency was reported to be significantly higher (5–6 fold) with non-specific DNA staining compared with DNA-specific staining, and MN frequency was not significantly associated with age, gender, BMI, or other phone usage habits (p>0.05).

Outcomes measured

  • Buccal micronucleus (MN) frequency in oral mucosal cells (right vs left cheek; exposed vs non-exposed mucosa)
  • Comparison of MN frequency by staining method (Feulgen DNA-specific vs Papanicolaou; note: abstract also mentions non-specific vs DNA-specific staining)
  • Associations of MN frequency with age, gender, BMI, and cell phone usage habits

Limitations

  • Descriptive-analytical/cross-sectional design (causality not established)
  • Small sample size (n=50)
  • Exposure characterization limited to questionnaire-based usage habits; no objective RF exposure metrics (e.g., frequency, SAR, call time) reported in abstract
  • Outcome sensitive to laboratory method; large differences by staining approach noted

Suggested hubs

  • mobile-phones (0.9)
    Study evaluates genotoxic effects associated with mobile phone radiation in users using buccal micronucleus assay.
View raw extracted JSON
{
    "study_type": "cross_sectional",
    "exposure": {
        "band": "RF",
        "source": "mobile phone",
        "frequency_mhz": null,
        "sar_wkg": null,
        "duration": null
    },
    "population": "Mobile phone users aged 20–38 years",
    "sample_size": 50,
    "outcomes": [
        "Buccal micronucleus (MN) frequency in oral mucosal cells (right vs left cheek; exposed vs non-exposed mucosa)",
        "Comparison of MN frequency by staining method (Feulgen DNA-specific vs Papanicolaou; note: abstract also mentions non-specific vs DNA-specific staining)",
        "Associations of MN frequency with age, gender, BMI, and cell phone usage habits"
    ],
    "main_findings": "In 50 mobile phone users, mean MN counts did not differ significantly between exposed and non-exposed buccal mucosa using either Feulgen staining (0.71±1.13 vs 0.57±1.36) or Papanicolaou staining (6.94±6.61 vs 6.54±6.88; p>0.05). MN frequency was reported to be significantly higher (5–6 fold) with non-specific DNA staining compared with DNA-specific staining, and MN frequency was not significantly associated with age, gender, BMI, or other phone usage habits (p>0.05).",
    "effect_direction": "no_effect",
    "limitations": [
        "Descriptive-analytical/cross-sectional design (causality not established)",
        "Small sample size (n=50)",
        "Exposure characterization limited to questionnaire-based usage habits; no objective RF exposure metrics (e.g., frequency, SAR, call time) reported in abstract",
        "Outcome sensitive to laboratory method; large differences by staining approach noted"
    ],
    "evidence_strength": "low",
    "confidence": 0.7399999999999999911182158029987476766109466552734375,
    "peer_reviewed_likely": "yes",
    "keywords": [
        "mobile phone radiation",
        "radiofrequency",
        "buccal mucosa",
        "micronucleus assay",
        "genotoxicity",
        "Feulgen staining",
        "Papanicolaou staining"
    ],
    "suggested_hubs": [
        {
            "slug": "mobile-phones",
            "weight": 0.90000000000000002220446049250313080847263336181640625,
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        }
    ]
}

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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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