Wang Han, Gan Zhouyi, Wang Yueyue, Hu Dingmeng, Zhang Lexiang, Ye Fangfu, Duan Ping
Department of Obstetrics and Gynecology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China.
Oncology Discipline Group, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China.
Research (Wash D C). 2025 Apr 1;8:0652. doi: 10.34133/research.0652. eCollection 2025.
Endometriosis is marked by the ectopic growth, spread, and invasion of endometrial tissue beyond the uterus, resulting in recurrent bleeding, pain, reproductive challenges, and the formation of nodules or masses. Despite advancements in detection methods like ultrasound and laparoscopy, these techniques remain limited by low specificity and invasiveness, underscoring the need for a highly specific, noninvasive in vitro diagnostic method. This study investigates the potential of using menstrual blood as a noninvasive diagnostic sample for endometriosis by targeting genetic and inflammatory markers associated with endometriosis lesions. A novel digital droplet enzyme-linked immunosorbent assay (ddELISA) was developed, leveraging SiO nanoparticles for the femtomolar-sensitive detection of inflammatory cytokines (OPN, IL-10, IL-6) in menstrual blood. Single-cell RNA sequencing revealed differentiation patterns across endometrial tissues and menstrual blood, affirming that menstrual blood replicates key inflammatory and immune properties of endometriosis. Furthermore, endometriosis menstrual blood endometrial cells derived from human menstrual blood displayed similar properties to endometrial stromal cells in endometriosis lesions, validating menstrual blood as a suitable in vitro diagnostic sample. In contrast to traditional ELISA, ddELISA supports multi-target detection with enhanced sensitivity and reduced processing time, allowing precise biomarker analysis from minimal sample volumes. Our ddELISA-based approach shows promise as a rapid, accessible, and accurate diagnostic tool for endometriosis, with potential for practical clinical application.
子宫内膜异位症的特征是子宫内膜组织在子宫外异位生长、扩散和侵袭,导致反复出血、疼痛、生殖障碍以及结节或肿块的形成。尽管超声和腹腔镜检查等检测方法有所进步,但这些技术仍受限于低特异性和侵入性,这凸显了对一种高度特异性、非侵入性体外诊断方法的需求。本研究通过针对与子宫内膜异位症病变相关的基因和炎症标志物,探讨了将月经血用作子宫内膜异位症非侵入性诊断样本的潜力。开发了一种新型数字液滴酶联免疫吸附测定法(ddELISA),利用二氧化硅纳米颗粒对月经血中的炎症细胞因子(骨桥蛋白、白细胞介素-10、白细胞介素-6)进行飞摩尔级灵敏检测。单细胞RNA测序揭示了子宫内膜组织和月经血中的分化模式,证实月经血复制了子宫内膜异位症的关键炎症和免疫特性。此外,源自人类月经血的子宫内膜异位症月经血子宫内膜细胞表现出与子宫内膜异位症病变中的子宫内膜基质细胞相似的特性,验证了月经血作为合适的体外诊断样本。与传统酶联免疫吸附测定法相比,ddELISA支持多靶点检测,具有更高的灵敏度和更短的处理时间,能够从微量样本中进行精确的生物标志物分析。我们基于ddELISA的方法有望成为一种快速、便捷且准确的子宫内膜异位症诊断工具,具有实际临床应用潜力。