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Short term effects of extremely low frequency electromagnetic fields exposure on Alzheimer's disease in rats

No Effects Found

Zhang Y, Liu X, Zhang J, Li N · 2015

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Insufficient information to determine key finding.

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Summary written for general audiences

This study examined the short-term effects of extremely low frequency (ELF) electromagnetic field exposure on Alzheimer's disease in rat models. No abstract was provided, so specific findings cannot be detailed.

Cite This Study
Zhang Y, Liu X, Zhang J, Li N (2015). Short term effects of extremely low frequency electromagnetic fields exposure on Alzheimer's disease in rats.
Show BibTeX
@article{zhang_y_liu_x_zhang_j_li_n_ce4611,
  author = {Zhang Y and Liu X and Zhang J and Li N},
  title = {Short term effects of extremely low frequency electromagnetic fields exposure on Alzheimer's disease in rats},
  year = {2015},
  doi = {10.1038/nature14659},
  
}

Quick Questions About This Study

This study identified two chromosome 10 locations that increase depression risk, particularly variants near the SIRT1 gene. These genetic differences may explain why some people develop depression while others don't under similar circumstances.
Earlier studies analyzed fewer than 9,000 cases with mixed depression types. This study succeeded by focusing on 5,303 women with severe, recurrent depression, creating a more genetically uniform group for analysis.
SIRT1 regulates cellular stress responses and energy metabolism. Variants near this gene showed the strongest association with severe depression (melancholia), suggesting it plays a key role in mood regulation mechanisms.
The SIRT1 location showed statistical significance of P = 2.53 × 10−10, while the LHPP gene site reached P = 6.45 × 10−12. These extremely low p-values indicate very strong genetic associations.
Studying a genetically homogeneous population reduces background genetic noise, making it easier to identify disease-causing variants. The researchers also selected women with similar severe depression symptoms to minimize clinical variation.