Analysis and identification of potential biomarkers for dysfunctional uterine bleeding

Allan N. Zhang, Yuanji Liang, Yuanguang Meng, Yu‐Chuan Li, Xiaomei Lü, Li Li, Tao Ye
In: Journal of Reproductive Immunology · 2025 · vol. 168 , pp. 104427 · doi:10.1016/j.jri.2025.104427 · PMID:39862473 · W4406454882
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⚙ AI-generated summary by claude@2026-06, 2026-06-08 ⓘ

Researchers analyzed samples from women with dysfunctional uterine bleeding to identify potential protein and metabolite biomarkers that could aid in diagnosis and treatment.

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Abstract

Clinical evidence increasingly suggests that traditional treatments for dysfunctional uterine bleeding (DUB) have limited success. In this study, blood samples from 10 DUB patients and 10 healthy controls were collected for transcriptome sequencing. Then, the differentially expressed genes (DEGs) were screened and crossed with the DUB-related module genes to obtain the target genes. These target genes were analyzed for functional enrichment. Further, the biomarkers were screened by protein-protein interaction (PPI) analysis and analyzed by the gene set enrichment analysis (GSEA) and ingenuity pathway analysis (IPA). To explore the pathogenesis of DUB, immune microenvironment analyses were also performed. Potential drugs targeting these biomarkers were predicted for clinical treatment. The expression of these biomarkers was validated using quantitative real-time polymerase chain reaction (qRT-PCR). The results showed that, a total of 754 target genes were found to be related to cell proliferation and senescence. Five biomarkers-CENPE, KIF11, PIK3R1, SMC3, and SMC4-were identified, all of which were down-regulated in the DUB group, and most of these findings were confirmed by qRT-PCR. Notably, CENPE expression showed a negative association with activated NK cells and a positive association with resting NK cells. In addition, 44 potential drugs were predicted for DUB treatment. In conclusion, five DUB biomarkers were identified, enhancing understanding of gene regulation in DUB and providing a theoretical foundation for clinical diagnosis and treatment.

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