paper-with-me

홈 › Papers

Inferring simple but precise quantitative models of human oocyte and early embryo development

2021-03-22 · Brian D Leahy, Catherine Racowsky, Daniel Needleman

Macroscopic, phenomenological models have proven useful as concise framings of our understandings in fields from statistical physics to economics to biology. Constructing a phenomenological model for development would provide a framework for understanding the complicated, regulatory nature of oogenesis and embryogenesis. Here, we use a data-driven approach to infer quantitative, precise models of human oocyte maturation and pre-implantation embryo development, by analyzing existing clinical In-Vitro Fertilization (IVF) data on 7,399 IVF cycles resulting in 57,827 embryos. Surprisingly, we find that both oocyte maturation and early embryo development are quantitatively described by simple models with minimal interactions. This simplicity suggests that oogenesis and embryogenesis are composed of modular processes that are relatively siloed from one another. In particular, our analysis provides strong evidence that (i) pre-antral follicles produce anti-M{\"u}llerian hormone independently of effects from other follicles, (ii) oocytes mature to metaphase-II independently of the woman's age, her BMI, and other factors, (iii) early embryo development is memoryless for the variables assessed here, in that the probability of an embryo transitioning from its current developmental stage to the next is independent of its previous stage. Our results both provide insight into the fundamentals of oogenesis and embryogenesis and have implications for the clinical practice of IVF.

📄 PDF Abstract BibTeX arXiv:2103.12187

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Automatic evaluation of human oocyte developmental potential from microscopy images

2021-02-27 · Denis Baručić, Jan Kybic, Olga Teplá, Zinovij Topurko 외

Infertility is becoming an issue for an increasing number of couples. The most common solution, in vitro fertilization, requires embryologists to carefully examine light microscopy images of human oocytes to determine th…

ClassificationGeneral ClassificationSegmentation

ILETIA: An AI-enhanced method for individualized trigger-oocyte pickup interval estimation of progestin-primed ovarian stimulation protocol

2025-01-25 · Binjian Wu, Qian Li, Zhe Kuang, Hongyuan Gao 외

In vitro fertilization-embryo transfer (IVF-ET) stands as one of the most prevalent treatments for infertility. During an IVF-ET cycle, the time interval between trigger shot and oocyte pickup (OPU) is a pivotal period f…

Grading of Mammalian Cumulus Oocyte Complexes using Machine Learning for in Vitro Embryo Culture

2016-03-05 · Viswanath P Sudarshan, Tobias Weiser, Phalgun Chintala, Subhamoy Mandal 외

Visual observation of Cumulus Oocyte Complexes provides only limited information about its functional competence, whereas the molecular evaluations methods are cumbersome or costly. Image analysis of mammalian oocytes ca…

BIG-bench Machine LearningCultural Vocal Bursts Intensity PredictionGeneral Classification

mRNA active transport in oocyte-early embryo: 3D agent-based modeling

2023-01-10 · Marat A. Sabirov, Ekaterina M. Myasnikova, Alexander V. Spirov

Axes of polarity (and primary morphogenetic gradients) are established in the oocyte - early embryo through active transport and localization of maternal factors. It is the oocyte - syncytial embryo of Drosophila (D. mel…

In Vitro Fertilization (IVF) Cumulative Pregnancy Rate Prediction from Basic Patient Characteristics

2019-11-10 · Bo Zhang, Yuqi Cui, Meng Wang, Jingjing Li 외

Tens of millions of women suffer from infertility worldwide each year. In vitro fertilization (IVF) is the best choice for many such patients. However, IVF is expensive, time-consuming, and both physically and emotionall…

Clustering