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Despite various attempts to replicate complex organ structures using 3D bioprinting technologies, the fabrication of a tissue-engineered endometrium with integrated vasculature remains a significant challenge in the field. In this study, we developed three bioinks by combining glycidyl methacrylate-modified GelMA (GelMAGMA) hydrogel precursor with endometrial stem cells, stromal cells, and endothelial cells to create a vascularized endometrial construct. Utilizing a one-step material-switching DLP 3D bioprinter capable of multi-material printing, we successfully fabricated an engineered endometrial construct with a vascular channel extending through both the functional and basal layers. The use of a perfusion culture system to circulate medium through the vascular network promoted cell activation, and estrogen treatment further validated the functionality of the construct. Additionally, in vivo subcutaneous implantation demonstrated the biocompatibility of the engineered tissue. This platform offers significant potential for tissue-engineered endometrial implants as well as research into various vascularized implantable tissues. STATEMENT OF SIGNIFICANCE: This study aims to develop a vascularized tissue-engineered endometrium for use in disease research and tissue implantation. Key findings include the development of GelMAGMA-based bioinks, fabrication of a vascularized endometrial construct, validation of its functionality, and proof of biocompatibility. The results advance tissue engineering and personalized medicine, with significant implications for endometrial disease studies and vascularized tissue model development.
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http://dx.doi.org/10.1016/j.actbio.2025.08.026 | DOI Listing |
Front Endocrinol (Lausanne)
September 2025
Center of Reproductive Medicine, Yulin Maternal and Child Health Hospital, Yulin, China.
Background: The incidence of thin endometrium in assisted reproductive technology (ART) is between 1% and 2.5%, yet its treatment options are varied and often show limited efficacy. There is an urgent need to delineate the relative effectiveness of various interventions to guide clinical practice.
View Article and Find Full Text PDFAcad Radiol
September 2025
Department of Radiology, Air Force Medical Center, Air Force Medical University, Fucheng Road 30, Haidian District, Beijing 100142, China (P.S., S.L., N.X.). Electronic address:
Rationale And Objectives: To develop and validate a non-invasive deep learning model that integrates voxel-level radiomics with multi-sequence MRI to predict microsatellite instability (MSI) status in patients with endometrial carcinoma (EC).
Methods: This two-center retrospective study included 375 patients with pathologically confirmed EC from two medical centers. Patients underwent preoperative multiparametric MRI (T2WI, DWI, CE-T1WI), and MSI status was determined by immunohistochemistry.
Medicine (Baltimore)
August 2025
Department of Health Medical Big Data Office, Statistical Information Center of the National Health Commission, Beijing, China.
This study developed a prognostic risk prediction model for endometrial carcinoma (EC) by integrating data from The Cancer Genome Atlas and Gene Expression Omnibus for bioinformatics analysis. The relevant data of EC were downloaded from The Cancer Genome Atlas database and the GSE17025 dataset of the Gene Expression Omnibus database. Based on the R language, the differentially expressed genes (DEGs) and weighted gene co-expression network analysis were used to identify the gene modules with the strongest correlation with clinical features, and intersected with the DEGs of GSE17025 dataset.
View Article and Find Full Text PDFJ Control Release
August 2025
Department of Gynecology and Obstetrics of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Shanghai Key Laboratory of Reproductive Medicine, Department of Histoembryology, Genetics and Developmental Biology, Shanghai Jiao Tong University School of Medicine,
Endometrial hyperplasia (EH), a precursor lesion to endometrial carcinoma, poses a significant challenge to women's health. However, current EH treatment involves a critical bottleneck because the rigid structures of conventional levonorgestrel (LNG)-releasing intrauterine system leads to poor adaptability. Here, we designed a novel self-expanding injectable intrauterine scaffold by first constructing a three-dimensional porous biomimetic extracellular matrix network via electrospinning.
View Article and Find Full Text PDFOncol Lett
October 2025
Department of Medical Imaging, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, P.R. China.
Non-invasive preoperative assessment of tumor grade serves an important role for clinical management. The aim of the present study was to assess the value of an intratumoral and an peritumoral radiomic model in predicting the histological grade of endometrial cancer (EC). A total of 107 patients with EC were retrospectively enrolled and randomly divided into the training (n=74) and test cohorts (n=33).
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