4.8 Article

Human oocyte developmental potential is predicted by mechanical properties within hours after fertilization

期刊

NATURE COMMUNICATIONS
卷 7, 期 -, 页码 -

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/ncomms10809

关键词

-

资金

  1. Bio-X Interdisciplinary Initiatives Program (IIP) seed grant from Stanford University

向作者/读者索取更多资源

The causes of embryonic arrest during pre-implantation development are poorly understood. Attempts to correlate patterns of oocyte gene expression with successful embryo development have been hampered by the lack of reliable and nondestructive predictors of viability at such an early stage. Here we report that zygote viscoelastic properties can predict blastocyst formation in humans and mice within hours after fertilization, with 490% precision, 95% specificity and 75% sensitivity. We demonstrate that there are significant differences between the transcriptomes of viable and non-viable zygotes, especially in expression of genes important for oocyte maturation. In addition, we show that low-quality oocytes may undergo insufficient cortical granule release and zona-hardening, causing altered mechanics after fertilization. Our results suggest that embryo potential is largely determined by the quality and maturation of the oocyte before fertilization, and can be predicted through a minimally invasive mechanical measurement at the zygote stage.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Materials Science, Multidisciplinary

Collapsible fluid-filled fabric shock absorber with constant force

Hossein Vahid Alizadeh, Michael Fanton, David B. Camarillo

Summary: This paper presents a novel shock absorption system based on woven fabrics designed to fully collapse and absorb energy at a near-minimum force level. The system exerts an approximately constant force across different impact velocities and has an average efficiency far above standard foams. Its potential applications include soft devices for space-constrained applications such as contact sport helmets.

JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES (2022)

Article Engineering, Biomedical

Physics-Informed Machine Learning Improves Detection of Head Impacts

Samuel J. Raymond, Nicholas J. Cecchi, Hossein Vahid Alizadeh, Ashlyn A. Callan, Eli Rice, Yuzhe Liu, Zhou Zhou, Michael Zeineh, David B. Camarillo

Summary: This work presents a new physics-informed machine learning model for analyzing kinematic data and detecting impacts to the head. By simulating head impacts and creating a large synthetic dataset, the model achieves improved performance compared to traditional impact detectors. It shows the best results to date for impact detection in American football.

ANNALS OF BIOMEDICAL ENGINEERING (2022)

Review Obstetrics & Gynecology

Transcriptional control of human gametogenesis

Fang Fang, Phillip J. Iaquinta, Ninuo Xia, Lei Liu, Lei Diao, Renee A. Reijo Pera

Summary: This article discusses the important role of transcription factors in reproductive development, focusing specifically on the transcriptional mechanisms of human reproductive development. By studying the transcriptional network components of human germ cells, deeper insights into human infertility and reproductive disorders can be gained, potentially contributing to the development of novel treatments for infertility.

HUMAN REPRODUCTION UPDATE (2022)

Article Multidisciplinary Sciences

A low-cost, highly functional, emergency use ventilator for the COVID-19 crisis

Samuel J. Raymond, Sam Baker, Yuzhe Liu, Mauricio J. Bustamante, Brett Ley, Michael J. Horzewski, David B. Camarillo, David N. Cornfield

Summary: Most critically ill patients with COVID-19 experience respiratory failure, leading to critical shortages in the supply of mechanical ventilators. In response to this, a low-cost, high-performance ventilator has been designed using medical gases and flow interruption strategy, which has received emergency use authorization from the FDA and can be used in clinical settings.

PLOS ONE (2022)

Article Biotechnology & Applied Microbiology

The Presence of the Temporal Horn Exacerbates the Vulnerability of Hippocampus During Head Impacts

Zhou Zhou, Xiaogai Li, August G. Domel, Emily L. Dennis, Marios Georgiadis, Yuzhe Liu, Samuel J. Raymond, Gerald Grant, Svein Kleiven, David Camarillo, Michael Zeineh

Summary: Hippocampal injury is common in traumatic brain injury patients, and this study found that the adjacent fluid-containing temporal horn may exacerbate the vulnerability of the hippocampus. The presence of the temporal horn was associated with increased strain and strain rate in the hippocampus, indicating a mechanobiological dependency of the hippocampus on the temporal horn.

FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2022)

Article Engineering, Biomedical

Piecewise Multivariate Linearity Between Kinematic Features and Cumulative Strain Damage Measure (CSDM) Across Different Types of Head Impacts

Xianghao Zhan, Yiheng Li, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo

Summary: This study investigates the relationship between brain strain and kinematic features in different types of head impacts. The researchers used a data-driven approach and found piecewise multivariate linearity between cumulative strain damage (CSDM) and head kinematic features. They compared different partition methods and found that the K-means clustering method showed significantly higher regression accuracy for CSDM. The study suggests that this method may contribute to the rapid prediction of CSDM in the future.

ANNALS OF BIOMEDICAL ENGINEERING (2022)

Article Engineering, Biomedical

Finding the Spatial Co-Variation of Brain Deformation With Principal Component Analysis

Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo

Summary: The study utilized principal component analysis (PCA) to analyze the spatial co-variation of injury metrics in four types of head impacts, aiding in the improvement of the machine learning head model (MLHM). PCA-MLHM reduced model parameters by 74% with comparable MPS estimation accuracy.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2022)

Correction Engineering, Biomedical

Identifying Factors Associated with Head Impact Kinematics and Brain Strain in High School American Football via Instrumented Mouthguards (vol 49, pg 2814, 2021)

Nicholas J. Cecchi, August G. Domel, Yuzhe Liu, Eli Rice, Rong Lu, Xianghao Zhan, Zhou Zhou, Samuel J. Raymond, Sohrab Sami, Heer Singh, India Rangel, Landon P. Watson, Svein Kleiven, Michael Zeineh, David B. Camarillo, Gerald Grant

ANNALS OF BIOMEDICAL ENGINEERING (2023)

Article Engineering, Biomedical

Padded Helmet Shell Covers in American Football: A Comprehensive Laboratory Evaluation with Preliminary On-Field Findings

Nicholas J. Cecchi, Ashlyn A. Callan, Landon P. Watson, Yuzhe Liu, Xianghao Zhan, Ramanand V. Vegesna, Collin Pang, Enora Le Flao, Gerald A. Grant, Michael M. Zeineh, David B. Camarillo

Summary: This study evaluated the impact attenuation capabilities of a padded helmet shell cover in both laboratory and field settings. The results showed that the padded helmet shell cover effectively reduced the magnitude of angular head accelerations and brain injury risk metrics in laboratory tests. However, no significant differences in head impact magnitude were observed between wearing the padded helmet shell cover and not wearing it in field tests. This research supports the need for in vivo helmet research to validate laboratory testing results.

ANNALS OF BIOMEDICAL ENGINEERING (2023)

Article Clinical Neurology

Longitudinal Alterations of Cerebral Blood Flow in High-Contact Sports

Mahta Karimpoor, Marios Georgiadis, Moss Y. Zhao, Maged Goubran, Hossein Moein Taghavi, Brian D. Mills, Dean Tran, Nicole Mouchawar, Sohrab Sami, Max Wintermark, Gerald Grant, David B. Camarillo, Michael E. Moseley, Greg Zaharchuk, Michael M. Zeineh

Summary: Long-term exposure to head impacts in high-contact sports can lead to changes in cerebral blood flow, with an initial increase followed by a decrease over time. This study highlights the importance of understanding the relationship between sports and brain injury.

ANNALS OF NEUROLOGY (2023)

Article Hospitality, Leisure, Sport & Tourism

Machine-learning-based head impact subtyping based on the spectral densities of the measurable head kinematics

Xianghao Zhan, Yiheng Li, Yuzhe Liu, Nicholas J. Cecchi, Samuel J. Raymond, Zhou Zhou, Hossein Vahid Alizadeh, Jesse Ruan, Saeed Barbat, Stephen Tiernan, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo

Summary: This study investigated the spectral characteristics of different head impact types using kinematics classification. The machine-learning-based classifier showed high accuracy in classifying head impact types, and different types of impacts had different distributions of spectral densities in low- and high-frequency ranges. This research contributes to a better understanding of impact kinematics in different sports.

JOURNAL OF SPORT AND HEALTH SCIENCE (2023)

Article Biotechnology & Applied Microbiology

Finite element evaluation of an American football helmet featuring liquid shock absorbers for protecting against concussive and subconcussive head impacts

Nicholas J. Cecchi, Hossein Vahid Alizadeh, Yuzhe Liu, David B. Camarillo

Summary: Concerns have been raised regarding the long-term effects of head impacts and concussions in American football. This study explores the potential of liquid shock absorbers in improving helmet safety performance. Results show that the liquid helmet model significantly reduces impact forces compared to existing helmet models and has lower brain strains. The findings suggest the promising ability of liquid shock absorbers in mitigating brain injury risk.

FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2023)

Article Clinical Neurology

Microstructural Alterations in Tract Development in College Football and Volleyball Players A Longitudinal Diffusion MRI Study

Maged Goubran, Brian David Mills, Marios Georgiadis, Mahta Karimpoor, Nicole Mouchawar, Sohrab Sami, Emily Larson Dennis, Carolyn Akers, Lex Mitchell, Brian Boldt, David Douglas, Phillip Scott Digiacomo, Jarrett Rosenberg, Gerald Grant, Max Wintermark, David Benjamin Camarillo, Michael Zeineh

Summary: This study investigated longitudinal changes in brain microstructure of high-contact (football) and low-contact (volleyball) collegiate athletes using advanced diffusion MRI. It found significant differences in microstructural metrics and tracts between football and volleyball players, especially in concussed football players. The findings suggest alterations in white matter development in football athletes due to concussive and repeated subconcussive impacts.

NEUROLOGY (2023)

Meeting Abstract Sport Sciences

Laboratory And On-field Testing Of A Commercially Available Padded Helmet Cover

Nicholas J. Cecchi, Ashlyn A. Callan, Landon P. Watson, Yuzhe Liu, Xianghao Zhan, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo

MEDICINE & SCIENCE IN SPORTS & EXERCISE (2022)

Meeting Abstract Critical Care Medicine

A REAL-TIME SYSTEM TO MONITOR BRAIN STRAIN TO DETECT DANGEROUS HEAD IMPACTS

Xianghao Zhan, Yuzhe Liu, Olivier Gevaert, Michael Zeineh, David Camarillo

JOURNAL OF NEUROTRAUMA (2022)

暂无数据