Effect of 1800 MHz radiofrequency field exposure on cytokine and signal transduction protein expression in differentiated THP-1 cells
Bibliographic record
Abstract
PURPOSE: To evaluate the effects of 1800 MHz continuous wave (CW) and global system for mobile communications (GSM) modulated radiofrequency electromagnetic field (RFEMF) exposures on signal transduction (ST) protein and cytokine expression in differentiated human-derived monocytic THP-1 cells. MATERIALS AND METHODS: THP-1 cells were differentiated into adherent macrophage-like cells using phorbol 12-myristate 13-acetate (PMA). Following differentiation, cells were exposed to 1800 MHz CW or GSM modulated RFEMF for 0.5, 4, or 24 h at a specific absorption rate (SAR) of 0 (sham) or 2.0 W/kg. Concurrent positive controls (lipopolysaccharide for cytokines; anisomycin for ST proteins) and negative controls were included in each experiment. The expression levels of cytokines (GM-CSF, IFN-γ, IL-1β, IL-6, IL-10, TNF-α) from culture media and phosphorylated and total ST proteins (CREB, JNK, NF-κB, p38, ERK1/2, Akt, p70S6k, STAT3, STAT5) from cell lysates were assessed using Milliplex magnetic bead array panels. RESULTS: No consistent effect of RFEMF exposure was observed in differentiated THP-1 cells. A statistically significant effect of overall exposure condition was observed for IL-6 with GSM modulation (P = 0.042), but no difference between RFEMF and sham for any exposure condition remained following adjustment for multiple comparisons (P ≥ 0.128). No statistically significant effect of exposure condition was detected for any other cytokine evaluated with either of the RFEMF modulations (P ≥ 0.078). There were no statistically significant changes in expression levels for any of the ST proteins under any studied exposure condition (P ≥ 0.320). CONCLUSIONS: In this study, no evidence of changes were observed in differentiated human derived THP-1 cells following exposure of up to 24 h to 1800 MHz RFEMF at SARs of 0 and 2.0 W/kg on the expression of ST proteins or cytokines.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".