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    Home » Pregnancy improves symptoms in women with multiple sclerosis; Study
    Women World

    Pregnancy improves symptoms in women with multiple sclerosis; Study

    The research project involved collaboration between medical and bioinformatics researchers, with network analysis playing a crucial role in understanding the extensive data.
    News DeskBy News DeskJune 19, 2023
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    United States: Beneficial changes in the immune system that occur naturally during pregnancy have been discovered by researchers, shedding light on potential treatment strategies for conditions such as multiple sclerosis (MS). The study, published in the Journal of Neuroinflammation, highlights the unique immunological condition of pregnancy, where the mother’s immune system adapts to become more tolerant. Despite the foetus containing genetic material from the father, the mother’s immune system does not reject it, showcasing the success of this balancing act.

    The study specifically focused on T cells, which play a crucial role in the immune system and are important in both pregnancy and MS. By comparing 11 women with MS to 7 healthy pregnant women, researchers investigated the genes and epigenetic changes in T cells during pregnancy. Surprisingly, they found that the immune systems of pregnant women with MS closely resembled those of healthy pregnant women. This finding suggests that the changes in T cells during pregnancy may contribute to the reduction of MS symptoms, with relapses decreasing by approximately 70 percent in the last trimester.

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    The researchers also identified networks of interacting genes that are affected during pregnancy, and many of these genes are associated with MS and crucial immune system processes. Notably, the genes regulated by pregnancy hormones, particularly progesterone, were found to be part of the network. The team is currently conducting laboratory tests to mimic these hormone effects, exploring the potential for future treatment strategies.

    The research project involved collaboration between medical and bioinformatics researchers, with network analysis playing a crucial role in understanding the extensive data. This analysis method helps identify genes that interact with the genes of interest, potentially uncovering abnormal regulation and their indirect effects on disease processes. The insights gained from this approach could lead to the development of alternative medications and new biomarkers to differentiate between disease subgroups.

    The findings contribute to a growing body of knowledge on the immunological changes that occur during pregnancy, offering hope for developing treatments for MS and other autoimmune diseases. The research team’s emphasis on understanding the underlying mechanisms opens up possibilities for targeted interventions and personalized medicine approaches in the future.

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