Effects of long-term pre- and post-natal exposure to 2.45 GHz wireless devices on developing male rat kidney.
Abstract
PURPOSE: The aim of the present study was to investigate oxidative stress and apoptosis in kidney tissues of male Wistar rats that pre- and postnatally exposed to wireless electromagnetic field (EMF) with an internet frequency of 2.45 GHz for a long time. METHODS: The study was conducted in three groups of rats which were pre-natal, post-natal. and sham exposed groups. Oxidative stress markers and histological evaluation of kidney tissues were studied. RESULTS: Renal tissue malondialdehyde (MDA) and total oxidant (TOS) levels of pre-natal group were high and total antioxidant (TAS) and superoxide dismutase (SOD) levels were low. Spot urine NAG/creatinine ratio was significantly higher in pre- and post-natal groups (p < 0.001). Tubular injury was detected in most of the specimens in post-natal groups. Immunohistochemical analysis showed low-intensity staining with Bax in cortex, high-intensity staining with Bcl-2 in cortical and medullar areas of pre-natal group (p values, 0.000, 0.002, 0.000, respectively) when compared with sham group. Bcl2/Bax staining intensity ratios of medullar and cortical area was higher in pre-natal group than sham group (p = 0.018, p = 0.011). CONCLUSION: Based on this study, it is thought that chronic pre- and post-natal period exposure to wireless internet frequency of EMF may cause chronic kidney damages; staying away from EMF source in especially pregnancy and early childhood period may reduce negative effects of exposure on kidney.
AI evidence extraction
Main findings
Compared with sham, the pre-natal exposure group had higher renal tissue MDA and TOS and lower TAS and SOD. Spot urine NAG/creatinine ratio was significantly higher in both pre- and post-natal exposure groups (p<0.001), and tubular injury was detected in most specimens in the post-natal group. Immunohistochemistry showed altered Bax and Bcl-2 staining and higher Bcl2/Bax ratios in the pre-natal group versus sham.
Outcomes measured
- Kidney oxidative stress markers (MDA, TOS, TAS, SOD)
- Urine NAG/creatinine ratio
- Histological kidney injury (tubular injury)
- Apoptosis-related immunohistochemistry (Bax, Bcl-2, Bcl2/Bax ratio)
Limitations
- Sample size not reported in abstract
- Exposure metrics beyond frequency (e.g., SAR, field strength) not reported in abstract
- Details of exposure duration/timing and randomization/blinding not reported in abstract
View raw extracted JSON
{
"study_type": "animal",
"exposure": {
"band": "RF",
"source": "wireless devices",
"frequency_mhz": 2450,
"sar_wkg": null,
"duration": "long time; chronic pre- and post-natal exposure"
},
"population": "Male Wistar rats (kidney tissue; pre- and post-natal exposure)",
"sample_size": null,
"outcomes": [
"Kidney oxidative stress markers (MDA, TOS, TAS, SOD)",
"Urine NAG/creatinine ratio",
"Histological kidney injury (tubular injury)",
"Apoptosis-related immunohistochemistry (Bax, Bcl-2, Bcl2/Bax ratio)"
],
"main_findings": "Compared with sham, the pre-natal exposure group had higher renal tissue MDA and TOS and lower TAS and SOD. Spot urine NAG/creatinine ratio was significantly higher in both pre- and post-natal exposure groups (p<0.001), and tubular injury was detected in most specimens in the post-natal group. Immunohistochemistry showed altered Bax and Bcl-2 staining and higher Bcl2/Bax ratios in the pre-natal group versus sham.",
"effect_direction": "harm",
"limitations": [
"Sample size not reported in abstract",
"Exposure metrics beyond frequency (e.g., SAR, field strength) not reported in abstract",
"Details of exposure duration/timing and randomization/blinding not reported in abstract"
],
"evidence_strength": "low",
"confidence": 0.7399999999999999911182158029987476766109466552734375,
"peer_reviewed_likely": "yes",
"keywords": [
"2.45 GHz",
"Wi-Fi",
"wireless EMF",
"prenatal exposure",
"postnatal exposure",
"rat",
"kidney",
"oxidative stress",
"MDA",
"TOS",
"TAS",
"SOD",
"NAG/creatinine",
"tubular injury",
"apoptosis",
"Bax",
"Bcl-2"
],
"suggested_hubs": []
}
AI can be wrong. Always verify against the paper.
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