Pirim Dilek, Bağcı Fatih Atilla
Institute of Natural and Applied Sciences, Department of Molecular Biology and Genetics, Bursa Uludag University, Bursa, Türkiye.
Institute of Health Sciences, Department of Translational Medicine, Bursa Uludag University, Bursa, Türkiye.
Syst Biol Reprod Med. 2025 Dec;71(1):1-12. doi: 10.1080/19396368.2025.2499475. Epub 2025 May 19.
Recent evidence suggests that individuals with polycystic ovary syndrome (PCOS) have an increased risk of developing mental health disorders and comorbidities linked to nervous system dysfunction. Interestingly, patients with schizophrenia (SCZ) often exhibit PCOS symptoms, indicating a possible connection between the two conditions. However, the underlying molecular links between these diseases remain poorly understood. We employed a comprehensive approach, utilizing publicly available datasets to investigate shared biomarkers candidates and key regulators involved in the development of PCOS and SCZ. We retrieved the datasets from the NCBI GEO database and differentially expressed genes (DEGs) were identified for each dataset. Common DEGs (cDEGs) were determined, and transcription factors (TFs) and miRNA targeting cDEGs were examined using the mirDIP portal and TRRUST database, respectively. We also assessed the TF-miRNA interactions by TransmiR database and constructed a regulatory network including TFs-microRNAs-cDEGs. Our analysis identified a total of 15 cDEGs that are regulated by 15 TFs and 8 mRNAs. Among our findings, we prioritized RELA as a potential TF regulator for both diseases, demonstrating synergistic interaction with four cDEGs (, , , ) and seven microRNAs (hsa-miR-580, hsa-miR-5695, hsa-miR-936, hsa-miR-3675, hsa-miR-634, hsa-miR-603, hsa-miR-222) that target these genes. Our data highlights potential common biomarkers for PCOS and SCZ, presenting a novel regulatory network that elucidates the molecular mechanisms underlying both conditions. This emphasizes the importance of further research to explore new translational approaches, which may ultimately lead to improved diagnostic and therapeutic strategies for affected individuals.
近期证据表明，多囊卵巢综合征（PCOS）患者患心理健康障碍以及与神经系统功能障碍相关的合并症的风险增加。有趣的是，精神分裂症（SCZ）患者常表现出PCOS症状，这表明这两种病症之间可能存在联系。然而，这些疾病之间潜在的分子联系仍知之甚少。我们采用了一种综合方法，利用公开可用的数据集来研究参与PCOS和SCZ发病的共享生物标志物候选物和关键调节因子。我们从NCBI GEO数据库中检索数据集，并为每个数据集鉴定差异表达基因（DEG）。确定了常见DEG（cDEG），并分别使用mirDIP门户和TRRUST数据库检查靶向cDEG的转录因子（TF）和miRNA。我们还通过TransmiR数据库评估了TF-miRNA相互作用，并构建了一个包括TF- microRNA-cDEG的调控网络。我们的分析共鉴定出15个由15个TF和8个mRNA调控的cDEG。在我们的研究结果中，我们将RELA确定为这两种疾病潜在的TF调节因子，它与四个cDEG（、、、）以及七个靶向这些基因的microRNA（hsa-miR-580、hsa-miR-5695、hsa-miR-936、hsa-miR-3675、hsa-miR-634、hsa-miR-603、hsa-miR-222）表现出协同相互作用。我们的数据突出了PCOS和SCZ潜在的共同生物标志物，呈现了一个阐明这两种病症潜在分子机制的新型调控网络。这强调了进一步研究探索新的转化方法的重要性，这最终可能会为受影响个体带来改进的诊断和治疗策略。
