Relationship Between the Levels of 91 Circulating Inflammatory Proteins and Ovarian-Related Diseases: A Bidirectional Mendelian Randomization Study

91种循环炎症蛋白水平与卵巢相关疾病的关系:一项双向孟德尔随机化研究

阅读:1

Abstract

BACKGROUND: Inflammatory proteins play a pivotal role in the pathogenesis of ovarian diseases, although the underlying mechanisms remain poorly understood. The aim of this study is to investigate the association between circulating markers of inflammation and ovarian diseases. METHODS: A two-sample bidirectional Mendelian randomization (MR) approach was employed, utilizing publicly available genetic databases to examine the relationship between 91 circulating inflammatory markers and six ovarian diseases. The primary analysis utilized the inverse variance weighting (IVW) method, with additional sensitivity analyses, including heterogeneity and pleiotropy tests, to assess the robustness of the findings. RESULTS: Specific inflammatory markers were found to be associated with ovarian diseases and to exhibit causal relationships. Ovarian cysts were linked to CCL4 and other proteins, showing a positive causal relationship with NT-3. Polycystic ovary syndrome (PCOS) was associated with IL-6 and other markers, with a positive causal relationship to IL-17C. Ovarian dysfunction was associated with IL-6 and other markers, while primary ovarian failure was linked to IL-33. Benign ovarian neoplasms were associated with CCL28 and other proteins, showing a positive causal relationship with FGF-19 and negative causal relationships with FGF-5 and NT-3. Malignant ovarian neoplasms were associated with CCL20 and other markers. DISCUSSION: This study clarifies the causal relationships between circulating inflammatory markers and ovarian diseases, providing a crucial foundation for future translational research and clinical applications.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。