The First 5 Years of Uterus Transplant in the US: A Report From the United States Uterus Transplant Consortium.

Importance: Uterus transplant is a viable surgical treatment for women affected by absolute uterine-factor infertility, which affects 1 in 500 women. Objective: To review transplant and birth outcomes of uterus transplant recipients in the US since the first case in 2016. Design, Setting, and Participants: In this cohort study, 5 years of uterus transplant outcome data were collected from the 3 centers performing uterus transplants in the US: Baylor University Medical Center, Dallas, Texas; Cleveland Clinic, Cleveland, Ohio; and University of Pennsylvania, Philadelphia. A total of 33 women with absolute uterine-factor infertility who underwent uterus transplant between February 2016 and September 2021 were included. Main Outcomes and Measures: Graft survival, live birth, and neonatal outcome. Results: Of the 33 included uterus transplant recipients, 2 (6%) were Asian, 1 (3%) was Black, 1 (3%) was South Asian, and 29 (88%) were White; the mean (SD) age was 31 (4.7) years; and the mean (SD) body mass index (calculated as weight in kilograms divided by height in meters squared) was 24 (3.6). Most uterus transplant recipients (31 of 33 [94%]) had a congenitally absent uterus (Mayer-Rokitansky-Küster-Hauser syndrome), and 21 of 33 (64%) received organs from living donors. Mean (range) follow-up was 36 (1-67) months. There was no donor or recipient mortality. One-year graft survival was 74% (23 of 31 recipients). Through October 2021, 19 of 33 recipients (58%) had delivered 21 live-born children. Among recipients with a viable graft at 1 year, the proportion with a live-born child was 83% (19 of 23). The median (range) gestational age at birth of neonates was 36 weeks 6 days (30 weeks, 1 day to 38 weeks), and the median (range) birth weight was 2860 (1310-3940) g (median [range], 58th [6th-98th] percentile). No congenital malformations were detected. Conclusions and Relevance: Uterus transplant is a surgical therapy that enables women with uterine-factor infertility to successfully gestate and deliver children. Aggregate data from US centers demonstrate safety for the recipient, living donor, and child. These data may be used to counsel women with uterine-factor infertility on treatment options.

A preliminary study of sperm identification in microdissection testicular sperm extraction samples with deep convolutional neural networks.

Sperm identification and selection is an essential task when processing human testicular samples for in vitro fertilization. Locating and identifying sperm cell(s) in human testicular biopsy samples is labor intensive and time consuming. We developed a new computer-aided sperm analysis (CASA) system, which utilizes deep learning for near human-level performance on testicular sperm extraction (TESE), trained on a custom dataset. The system automates the identification of sperm in testicular biopsy samples. A dataset of 702 de-identified images from testicular biopsy samples of 30 patients was collected. Each image was normalized and passed through glare filters and diffraction correction. The data were split 80%, 10%, and 10% into training, validation, and test sets, respectively. Then, a deep object detection network, composed of a feature extraction network and object detection network, was trained on this dataset. The model was benchmarked against embryologists' performance on the detection task. Our deep learning CASA system achieved a mean average precision (mAP) of 0.741, with an average recall (AR) of 0.376 on our dataset. Our proposed method can work in real time; its speed is effectively limited only by the imaging speed of the microscope. Our results indicate that deep learning-based technologies can improve the efficiency of finding sperm in testicular biopsy samples.

Human Embryonic Stem Cell Lines with Lesions in FOXP3 and NF1.

Human embryonic stem cells (hESCs) are derived from the inner cell mass (ICM) of blastocyst staged embryos. Spare blastocyst staged embryos were obtained by in vitro fertilization (IVF) and donated for research purposes. hESCs carrying specific mutations can be used as a powerful cell system in modeling human genetic disorders. We obtained preimplantation genetic diagnosed (PGD) blastocyst staged embryos with genetic mutations that cause human disorders and derived hESCs from these embryos. We applied laser assisted micromanipulation to isolate the inner cell mass from the blastocysts and plated the ICM onto the mouse embryonic fibroblast cells. Two hESC lines with lesions in FOXP3 and NF1 were established. Both lines maintain a typical undifferentiated hESCs phenotype and present a normal karyotype. The two lines express a panel of pluripotency markers and have the potential to differentiate to the three germ layers in vitro and in vivo. The hESC lines with lesions in FOXP3 and NF1 are available for the scientific community and may serve as an important resource for research into these disease states.