Sun Jiani, Ji Mei, Zhu Yiping, Bukulmez Orhan, Shu-Biu Yeung William, Sun Jing, Teng Xiaoming, Chen Miaoxin
Centre for Assisted Reproduction, Shanghai Key Laboratory of Maternal-Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, 2699 Gaoke West Road, Pudong District, Shanghai, 201204, China.
Department of Gynecology, Shanghai Key Laboratory of Maternal-Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Reprod Sci. 2025 Jun 2. doi: 10.1007/s43032-025-01883-x.
Thin endometriumQuery (TE) significantly contributes to poor embryo implantation and female infertility, yet its pathogenesis remains unclear, limiting effective treatment options. To identify potential TE-associated genes and explore underlying mechanisms for clinical therapy, we conducted RNA sequencing on 18 TE and 18 normal endometrium samples, followed by bioinformatics analysis. Total RNA was extracted from samples, reverse-transcribed into cDNA, and sequenced on the HiSeq 2500 platform, followed by differential expression analysis and functional enrichment of differentially expressed genes (DEGs). Functional enrichment and LASSO analysis identified key biomarkers, which were subsequently validated at both mRNA and protein levels. Immune infiltration patterns and correlations with immune cells were also examined. Consequently, ribosomal protein L7 (RPL7) and RCC1 domain-containing 1 (RCCD1) were identified as potential biomarkers, showing overexpression in TE and association with abnormal immune regulation. These findings suggest that RPL7 and RCCD1 may serve as specific biomarkers for TE, providing insights that could aid in developing targeted therapeutics to improve clinical outcomes.
薄型子宫内膜（TE）显著导致胚胎着床不良和女性不孕，但其发病机制仍不清楚，限制了有效的治疗选择。为了鉴定潜在的TE相关基因并探索临床治疗的潜在机制，我们对18例TE样本和18例正常子宫内膜样本进行了RNA测序，随后进行了生物信息学分析。从样本中提取总RNA，逆转录成cDNA，并在HiSeq 2500平台上进行测序，随后进行差异表达分析和差异表达基因（DEG）的功能富集分析。功能富集和LASSO分析确定了关键生物标志物，随后在mRNA和蛋白质水平上进行了验证。还检查了免疫浸润模式以及与免疫细胞的相关性。因此，核糖体蛋白L7（RPL7）和含RCC1结构域1（RCCD1）被确定为潜在的生物标志物，在TE中呈过表达，并与异常免疫调节相关。这些发现表明，RPL7和RCCD1可能作为TE的特异性生物标志物，为开发靶向治疗方法以改善临床结果提供了思路。
