Effect of maternal obesity on preimplantation embryo development and non-invasive densitometry approach to select healthy embryos in mice
Abstract/Contents
- Abstract
- Poor fertility outcomes in obese women have been well recognized, but the underpinning causes are still poorly understood. While overall the fertility is impaired, wide heterogeneity in successful pregnancy has been observed, suggesting that some embryos have the intrinsic ability to develop to term but efforts in developing a non-invasive selection of healthy embryos have been limited. In order to study the effects of obesity on preimplantation embryos we studied two mouse models of obesity, leptin mutant ob/ob and diet induced obesity (DIO) models. Here we demonstrate that obese female mice show poor quality in oocyte and preimplantation embryos, and retardation of development, elevated lipid contents. Transcriptomic analysis revealed disruption of metabolic genes and downregulation of AMPK pathway. For the first time, we measured preimplantation embryo density with non-invasive method and showed that density is correlated with lipid content and can be used as a predictive parameter for successful postimplantation development. This is a proof of concept of using density measurements as noninvasive method to select healthy embryos in obese mothers as early as 4 cell stage.
Description
Type of resource | text |
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Form | electronic resource; remote; computer; online resource |
Extent | 1 online resource. |
Place | California |
Place | [Stanford, California] |
Publisher | [Stanford University] |
Copyright date | 2020; ©2020 |
Publication date | 2020; 2020 |
Issuance | monographic |
Language | English |
Creators/Contributors
Author | Mursaliyev, Nurlybek |
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Degree supervisor | Sebastiano, Vittorio |
Thesis advisor | Sebastiano, Vittorio |
Thesis advisor | Demirci, Utkan |
Thesis advisor | Red-Horse, Kristy |
Thesis advisor | Winn, Virginia |
Degree committee member | Demirci, Utkan |
Degree committee member | Red-Horse, Kristy |
Degree committee member | Winn, Virginia |
Associated with | Stanford University, Department of Biology |
Subjects
Genre | Theses |
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Genre | Text |
Bibliographic information
Statement of responsibility | Nurlybek Mursaliyev. |
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Note | Submitted to the Department of Biology. |
Thesis | Thesis Ph.D. Stanford University 2020. |
Location | electronic resource |
Access conditions
- Copyright
- © 2020 by Nurlybek Mursaliyev
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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