Department of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China.
Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, China.
Sci Rep. 2024 Feb 12;14(1):3571. doi: 10.1038/s41598-024-53842-2.
With the rapid development of 5G networks, the influence of the radiofrequency field (RF) generated from 5G communication equipment on human health is drawing increasing attention in public. The study aimed at assessing the effects of long-term exposure to 4.9 GHz (one of the working frequencies of 5G communication) RF field on fecal microbiome and metabolome profiles in adult male C57BL/6 mice. The animals were divided into Sham group and radiofrequency group (RF group). For RF group, the mice were whole body exposed to 4.9 GHz RF field for three weeks, 1 h/d, at average power density (PD) of 50 W/m. After RF exposure, the mice fecal samples were collected to detect gut microorganisms and metabolites by 16S rRNA gene sequencing and LC-MS method, respectively. The results showed that intestinal microbial compositions were altered in RF group, as evidenced by reduced microbial diversity and changed microbial community distribution. Metabolomics profiling identified 258 significantly differentially abundant metabolites in RF group, 57 of which can be classified to Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Besides, functional correlation analysis showed that changes in gut microbiota genera were significantly correlated with changes in fecal metabolites. In summary, the results suggested that altered gut microbiota and metabolic profile are associated with 4.9 GHz radiofrequency exposure.
随着 5G 网络的快速发展,来自 5G 通信设备的射频场(RF)对人体健康的影响引起了公众的广泛关注。本研究旨在评估长期暴露于 4.9GHz(5G 通信的工作频率之一)RF 场对成年雄性 C57BL/6 小鼠粪便微生物组和代谢组谱的影响。动物分为假照射组(Sham 组)和射频组(RF 组)。对于 RF 组,小鼠全身暴露于 4.9GHz RF 场中,每周 5 天,每天 1 小时,平均功率密度(PD)为 50W/m。RF 暴露后,收集小鼠粪便样本,分别采用 16S rRNA 基因测序和 LC-MS 方法检测肠道微生物和代谢物。结果表明,RF 组肠道微生物组成发生改变,表现为微生物多样性降低和微生物群落分布改变。代谢组学分析鉴定出 RF 组 258 种差异丰度代谢物,其中 57 种可归类于京都基因与基因组百科全书(KEGG)途径。此外,功能相关性分析表明,肠道微生物属的变化与粪便代谢物的变化显著相关。总之,研究结果表明,4.9GHz 射频暴露与肠道微生物群和代谢谱的改变有关。