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射频电磁场暴露对体内和体外氧化应激生物标志物的影响:实验研究的系统评价

The effects of radiofrequency electromagnetic field exposure on biomarkers of oxidative stress in vivo and in vitro: A systematic review of experimental studies.

作者信息

Meyer Felix, Bitsch Annette, Forman Henry Jay, Fragoulis Athanassios, Ghezzi Pietro, Henschenmacher Bernd, Kellner Rupert, Kuhne Jens, Ludwig Tonia, Sachno Dmitrij, Schmid Gernot, Tsaioun Katya, Verbeek Jos, Wright Robert

机构信息

Federal Office for Radiation Protection, Competence Centre EMF, Karl-Liebknecht-Strasse 33, 03046 Cottbus, Germany.

Fraunhofer Institute for Toxicology and Experimental Medicine, Chemical Safety and Toxicology, Nikolai-Fuchs-Straße 1, 30625 Hannover, Germany.

出版信息

Environ Int. 2024 Dec;194:108940. doi: 10.1016/j.envint.2024.108940. Epub 2024 Aug 14.

Abstract

BACKGROUND

Oxidative stress is thought to be related to many diseases. Furthermore, it is hypothesized that radiofrequency electromagnetic fields (RF-EMF) may induce excessive oxidative stress in various cell types and thereby have the potential to compromise human and animal health. The objective of this systematic review (SR) is to summarize and evaluate the literature on the relation between the exposure to RF-EMF in the frequency range from 100 kHz to 300 GHz and biomarkers of oxidative stress.

METHODS

The SR framework was developed following the guidelines established in the WHO Handbook for Guideline Development and NTP/OHAT's Handbook for Conducting a Literature-Based Health Assessment. We used the latter handbook's methodology for implementing the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach for environmental health assessments. We searched the following databases up until June 30, 2023: PubMed, Embase, Web of Science Core Collection, Scopus, and the EMF-Portal. The reference lists of included studies and retrieved review articles were also manually searched. We rated Risk of Bias (RoB) using the OHAT RoB Rating Tool and assessed publication bias using funnel plots of included studies. We assessed the certainty of the evidence (high, moderate, low, or very low) for an association between RF-EMF and oxidative stress using an adapted version of the GRADE framework. Data were extracted according to a predefined set of forms developed in DistillerSR. Data were analysed after grouping them first as in vitro or in vivo and then according to outcome category, species category, and exposed tissue. We synthesized study results using a random effects meta-analysis when study characteristics were judged sufficiently similar to be combined and heterogeneity (I) was lower than 75 %, otherwise we describe the findings narratively.

RESULTS

Fifty-six (56) studies, 45 in vivo and 11 in vitro, in which cells (in vitro) or animals (in vivo) were exposed to frequencies in the range 800-2450 MHz, were included in the systematic review after eliminating 12,353 publications because they did not meet the criteria defined in the published protocol (Henschenmacher et al., 2022). Of 56 studies 52 studies with 169 individual results were included in the meta-analysis. Together, these studies examined six human in vitro samples and fifty animal samples, including rodents (mice, rats, hamsters, and guinea pigs, (n = 46)) and rabbits (n = 4). RF-EMF were predominantly applied as continuous wave exposures in these studies. The outcome biomarkers for modified proteins and amino acids were measured in n = 30 studies, for oxidized DNA bases in n = 26 studies, for oxidized lipids in n = 3 studies and hydrogen peroxide production in 2 studies. Outcomes were mostly measured in the brain (n = 22), liver (n = 9), cells (n = 9), blood (n = 6), and testis (n = 2). RoB in studies was high, mainly due to biases in exposure and outcome assessment.

IN VIVO STUDIES

Brain: The effect on biomarkers for oxidized DNA bases in the rodent brain (five studies, n = 98) had an inconsistent effect, varying from a large decrease with a standardized mean difference (SMD) of -3.40 (95 % CI [-5.15, -1.64]) to a large increase with an SMD of 2.2 (95 % CI [0.78, 3.62]). In the brain of rabbits (two studies, n = 44), the effect sizes also varied, from an SMD of -1.06 (95 % CI [-2.13, 0.00]) to an SMD of 5.94 (95 % CI [3.14, 8.73]). The effect on biomarkers for modified proteins and amino acids in the rodent brain (15 studies, n = 328) also varied from a large decrease with an SMD of -6.11 (95 % CI [-8.16, -4.06]) to a large increase with an SMD of 5.33 (95 % CI [2.49, 8.17]). The effect on biomarkers for oxidized lipids in the brain of rodents (one study, n = 56) also varied from a large decrease with SMD = -4.10 (95 % CI [-5.48, -2.73]) to SMD = 1.27 (95 % CI [0.45, 2.10]). Liver: The effect on biomarkers for oxidized DNA bases in the rodent liver (two studies, n = 26) was inconsistent with effect sizes in both directions: SMD = -0.71 (95 % CI [-1.80, 0.38]) and SMD = 1.56 (95 % CI [0.19, 2.92]). The effect on biomarkers for oxidized DNA bases in the rabbits' liver (two studies, n = 60) was medium with a pooled SMD of 0.39 (95 % CI [-0.79, 1.56]). Biomarkers for modified proteins and amino acids in the liver of rodents (six studies, n = 159) increased with a pooled SMD of 0.55 (95 % CI [0.06, 1.05]). Blood: The effect of RF-EMF on biomarkers for oxidized DNA bases in rodent blood (four studies, n = 104) was inconsistent, with SMDs ranging from -1.14 (95 % CI [-2.23, -0.06]) to 1.71 (95 % CI [-0.10, 3.53]). RF-EMF had no effect on biomarkers for modified proteins and amino acids in rodent blood (three studies, n = 40), with a pooled SMD of -0.08 (95 % CI [-1.32, 1.16]). There was a large increase in biomarkers for oxidized DNA bases in rodent plasma (two studies, n = 38) with a pooled SMD of 2.25 (95 % CI [1.27, 3.24]). Gonads: There was an increase in biomarkers for oxidized DNA bases in the rodent testis (two studies, n = 24) with a pooled SMD of 1.60 (95 % CI [0.62, 2.59]). The effect of RF-EMF on biomarkers for modified proteins and amino acids in the ovary of rodents (two studies, n = 52) was inconsistent with a medium effect, SMD = 0.24 (95 % CI [-0.74, 1.23])) and a large effect (SMD = 2.08 (95 % CI [1.22, 2.94])). Thymus: RF-EMF increased biomarkers for modified proteins and amino acids in the thymus of rodents (one study, n = 42) considerably with a pooled SMD of 6.16 (95 % CI [3.55, 8.76]). Cells: RF-EMF increased oxidized DNA bases in rodent cells with SMD of 2.49 (95 % CI [1.30, 3.67]) (one study, n = 27). There was a medium effect in oxidized lipids (one study, n = 18) but not statistically significant with SMD = 0.34 (95 % CI [-0.62, 1.29]).

IN VITRO STUDIES

In in vitro studies in human cells (three studies, n = 110), there were inconsistent increases in biomarkers for oxidized DNA bases, where the SMDs varied between 0.01 (95 % CI [-0.59, 0.62]) and 7.12 (95% CI [0.06, 14.18]) in 4 results (2 of them statistically significant). In rodent cells (three studies, n = 24), there was a not statistically significant large effect in biomarkers for oxidized DNA bases with SMD = 2.07 (95 % CI [-1.38, 5.52]). The RF-EMF biomarkers for modified proteins and amino acids in human cells (one study, n = 18) showed a large effect with SMD = 1.07 (95 % CI [-0.05, 2.19]). In rodent cells (two studies, n = 24) a medium effect of SMD = 0.56 (95 % CI [-0.29, 1.41]) was observed.

DISCUSSION

The evidence on the relation between the exposure to RF-EMF and biomarkers of oxidative stress was of very low certainty, because a majority of the included studies were rated with a high RoB level and provided high heterogeneity. This is due to inaccurate measurements of exposure and/or of measurement of oxidative stress biomarkers and missing information on the blinding of research personnel to exposure conditions or outcome measurements. There may be no or an inconsistent effect of RF-EMF on biomarkers of oxidative stress in the brain, liver, blood, plasma and serum, and in the female reproductive system in animal experiments but the evidence is of very low certainty. There may be an increase in biomarkers of oxidative stress in testes, serum and thymus of rodents but the evidence is of very low certainty. Future studies should improve experimental designs and characterization of exposure systems as well as the use of validated biomarker measurements with positive controls. Other: This review was partially funded by the World Health Organization. The protocol for this review is registered in PROSPERO (https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021235573) and published in Environment International (https://doi.org/10.1016/j.envint.2021.106932) (Henschenmacher et al., 2022).

摘要

背景

氧化应激被认为与多种疾病有关。此外,据推测,射频电磁场(RF-EMF)可能在各种细胞类型中诱导过度的氧化应激,从而有可能损害人类和动物健康。本系统评价(SR)的目的是总结和评估关于暴露于100kHz至300GHz频率范围内的RF-EMF与氧化应激生物标志物之间关系的文献。

方法

按照世界卫生组织《指南制定手册》和美国国家毒理学计划/健康评估转型办公室《基于文献的健康评估手册》中确立的指南制定了SR框架。我们采用后一本手册的方法实施环境健康评估的推荐分级评估、制定和评价(GRADE)方法。截至2023年6月30日,我们检索了以下数据库:PubMed、Embase、科学引文索引核心合集、Scopus和电磁场门户网站。还手动检索了纳入研究的参考文献列表和检索到的综述文章。我们使用健康评估转型办公室偏倚风险(RoB)评级工具对偏倚风险进行评级,并使用纳入研究的漏斗图评估发表偏倚。我们使用GRADE框架修改版评估RF-EMF与氧化应激之间关联证据的确定性(高、中、低或极低)。根据DistillerSR中开发的一组预定义表格提取数据。首先将数据按体外或体内进行分组,然后根据结果类别、物种类别和暴露组织进行分析。当研究特征被判定足够相似可以合并且异质性(I²)低于75%时,我们使用随机效应荟萃分析来综合研究结果,否则我们将对研究结果进行叙述性描述。

结果

在排除12353篇未符合已发表方案中定义标准的出版物(Henschenmacher等人,2022年)后,56项研究被纳入系统评价,其中45项为体内研究,11项为体外研究,这些研究中细胞(体外)或动物(体内)暴露于800 - 2450MHz频率范围内。在56项研究中,52项研究(包含169个独立结果)被纳入荟萃分析。这些研究共检测了6个人类体外样本和50个动物样本,包括啮齿动物(小鼠、大鼠、仓鼠和豚鼠,(n = 46))和兔子(n = 4)。在这些研究中,RF-EMF主要作为连续波暴露应用。在30项研究中测量了修饰蛋白质和氨基酸的结果生物标志物,在26项研究中测量了氧化DNA碱基的结果生物标志物,在3项研究中测量了氧化脂质的结果生物标志物,在2项研究中测量了过氧化氢产生的结果生物标志物。结果大多在脑(n = 22)、肝(n = 9)、细胞(n = 9)、血液(n = 6)和睾丸(n = 2)中测量。研究中的RoB较高,主要是由于暴露和结果评估中的偏倚。

体内研究

脑:对啮齿动物脑内氧化DNA碱基生物标志物的影响(五项研究,n = 98)效果不一致,从标准化均数差(SMD)为 - 3.40(95%CI[-5.15, - 1.64])的大幅下降到SMD为2.2(95%CI[0.78, 3.62])的大幅增加。在兔子的脑中(两项研究,n = 44),效应大小也有所不同,从SMD为 - 1.06(95%CI[-2.13, 0.00])到SMD为5.94(95%CI[3.14, 8.73])。对啮齿动物脑内修饰蛋白质和氨基酸生物标志物的影响(15项研究,n = 328)也从SMD为 - 6.11(95%CI[-8.16, - 4.06])的大幅下降到SMD为5.33(95%CI[2.49, 8.17])的大幅增加。对啮齿动物脑内氧化脂质生物标志物的影响(一项研究,n = 56)也从SMD = - 4.10(95%CI[-5.48, - 2.73])的大幅下降到SMD = 1.27(95%CI[0.45, 2.10])。肝:对啮齿动物肝内氧化DNA碱基生物标志物(两项研究,n = 26)的影响不一致,效应大小在两个方向上均有:SMD = - 0.71(95%CI[-

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