Abstract

Background: Multiple sclerosis (MS) is an autoimmune neurodegenerative disease with a higher prevalence in women. While puberty appears to act as a trigger for MS, menopause has no clear effects on disease progression. Many studies have shown that transcranial magnetic stimulation (TMS) is a potential antioxidant treatment for MS, but the sexual hormones have been identified as a potential factor affecting TMS response by affecting cortical excitability and possibly clinical outcomes. Methods: The aim of this study was to test the effect of estrogen, progesterone, and testosterone hormonal supplementation as adjuvants to TMS treatment of experimental autoimmune encephalomyelitis (EAE), an experimental model of MS. The effects of the three hormones were also tested as replacement therapy in ovariectomized rats treated with TMS. Clinical signs of the disease, as well as disease-induced oxidative stress and antioxidant defenses of the glutathione system, were evaluated. Results: TMS alone, without supplements or replacement therapies, is effective against oxidative stress caused by EAE. Estrogen and progesterone replacement therapy is useful to enhance the role of TMS in ovariectomized rats, activating antioxidant defenses and improving clinical signs of the disease. Conclusions: TMS is effective in the treatment of MS, but its role could be enhanced, using hormone replacement therapy with estrogens and/or progesterone.

Affiliated Institutions

Related Publications

Publication Info

Year
2025
Type
article
Volume
15
Issue
12
Pages
1714-1714
Citations
0
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

0
OpenAlex
0
Influential
0
CrossRef

Cite This

Begoña M. Escribano, Manuel E. Valdelvira, Ana Muñoz-Jurado et al. (2025). The Impact of Sex Hormones on Transcranial Magnetic Stimulation Against the Oxidative Stress in the Pathogenesis of Multiple Sclerosis. Biomolecules , 15 (12) , 1714-1714. https://doi.org/10.3390/biom15121714

Identifiers

DOI
10.3390/biom15121714

Data Quality

Data completeness: 77%