Microwaves from Mobile Phones Inhibit 53BP1 Focus Formation in Human Stem Cells More Strongly Than in Differentiated

Eva Markovà1, Lars O G Malmgren2, Igor Y Belyaev3

  • 1Department of Genetics, Microbiology and Toxicology, Stockholm University, Stockholm, Sweden; Laboratory of Molecular Genetics, Cancer Research Institute, Bratislava, Slovak Republic.

Abstract

Insights

Mobile phone microwaves inhibit DNA double-strand break (DSB) repair in stem cells, with stem cells showing greater sensitivity than differentiated cells. This highlights potential cancer risks and the importance of stem cells for safety assessments.

Area of Science:

  • Cellular Biology
  • Genetics
  • Biophysics

Background:

  • DNA double-strand breaks (DSBs) and their misrepair are implicated in cancer development.
  • Stem cells are crucial in the multistage origination of various leukemias and tumors.

Purpose of the Study:

  • To investigate if mobile phone microwaves induce DSBs or impair DSB repair in stem cells.
  • To assess the impact of Global System for Mobile Communication (GSM) and Universal Global Telecommunications System (UMTS) frequencies on stem cell DNA repair.

Main Methods:

  • Analysis of tumor suppressor TP53 binding protein 1 (53BP1) foci using laser confocal microscopy.
  • 53BP1 foci serve as indicators of DNA repair sites.
  • Exposure of human primary fibroblasts, mesenchymal stem cells, and lymphocytes to microwave radiation.

Main Results:

  • Microwaves from mobile phones inhibited 53BP1 foci formation in human fibroblasts and stem cells.
  • Stem cells exhibited greater sensitivity to microwave exposure across various frequencies compared to differentiated cells.
  • Stem cells did not adapt to chronic microwave exposure, unlike fibroblasts.

Conclusions:

  • Stem cells are most sensitive to microwave exposure, suggesting a significant imbalance in DSB repair and severe stress response.
  • Stem cells react to a broader range of frequencies than differentiated cells.
  • Stem cells represent a critical cellular model for evaluating the safety of mobile communication signals in cancer risk assessment.

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