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Madritsch S, Arnold V, Haider M, Bosenge J, Pfeifer M, Weil B, Zechmeister M, Hengstschläger M, Neesen J, Laccone F. Aneuploidy detection in pooled polar bodies using rapid nanopore sequencing. J Assist Reprod Genet 2024; 41:1261-1271. [PMID: 38642269 PMCID: PMC11143085 DOI: 10.1007/s10815-024-03108-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 03/25/2024] [Indexed: 04/22/2024] Open
Abstract
PURPOSE Various screening techniques have been developed for preimplantation genetic testing for aneuploidy (PGT-A) to reduce implantation failure and miscarriages in women undergoing in vitro fertilisation (IVF) treatment. Among these methods, the Oxford nanopore technology (ONT) has already been tested in several tissues. However, no studies have applied ONT to polar bodies, a cellular material that is less restrictively regulated for PGT-A in some countries. METHODS We performed rapid short nanopore sequencing on pooled first and second polar bodies of 102 oocytes from women undergoing IVF treatment to screen for aneuploidy. An automated analysis pipeline was developed with the expectation of three chromatids per chromosome. The results were compared to those obtained by array-based comparative genomic hybridisation (aCGH). RESULTS ONT and aCGH were consistent for 96% (98/102) of sample ploidy classification. Of those samples, 36 were classified as euploid, while 62 were classified as aneuploid. The four discordant samples were assessed as euploid using aCGH but classified as aneuploid using ONT. The concordance of the ploidy classification (euploid, gain, or loss) per chromosome was 92.5% (2169 of 2346 of analysed chromosomes) using aCGH and ONT and increased to 97.7% (2113/2162) without the eight samples assessed as highly complex aneuploid using ONT. CONCLUSION The automated detection of the ploidy classification per chromosome and shorter duplications or deletions depending on the sequencing depth demonstrates an advantage of the ONT method over standard, commercial aCGH methods, which do not consider the presence of three chromatids in pooled polar bodies.
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Affiliation(s)
- Silvia Madritsch
- Institute of Medical Genetics, Medical University of Vienna, Währinger Straße 10, 1090, Vienna, Austria.
| | - Vivienne Arnold
- Institute of Medical Genetics, Medical University of Vienna, Währinger Straße 10, 1090, Vienna, Austria
- HLN-Genetik GmbH, Ortliebgasse 25/1, 1170, Vienna, Austria
| | - Martha Haider
- Institute of Medical Genetics, Medical University of Vienna, Währinger Straße 10, 1090, Vienna, Austria
- HLN-Genetik GmbH, Ortliebgasse 25/1, 1170, Vienna, Austria
| | - Julia Bosenge
- HLN-Genetik GmbH, Ortliebgasse 25/1, 1170, Vienna, Austria
| | - Mateja Pfeifer
- Institute of Medical Genetics, Medical University of Vienna, Währinger Straße 10, 1090, Vienna, Austria
| | - Beatrix Weil
- Institute of Medical Genetics, Medical University of Vienna, Währinger Straße 10, 1090, Vienna, Austria
- HLN-Genetik GmbH, Ortliebgasse 25/1, 1170, Vienna, Austria
| | | | - Markus Hengstschläger
- Institute of Medical Genetics, Medical University of Vienna, Währinger Straße 10, 1090, Vienna, Austria
- HLN-Genetik GmbH, Ortliebgasse 25/1, 1170, Vienna, Austria
| | - Jürgen Neesen
- Institute of Medical Genetics, Medical University of Vienna, Währinger Straße 10, 1090, Vienna, Austria
- HLN-Genetik GmbH, Ortliebgasse 25/1, 1170, Vienna, Austria
| | - Franco Laccone
- Institute of Medical Genetics, Medical University of Vienna, Währinger Straße 10, 1090, Vienna, Austria
- HLN-Genetik GmbH, Ortliebgasse 25/1, 1170, Vienna, Austria
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2
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Zhang H, Su W, Zhao R, Li M, Zhao S, Chen Z, Zhao H. Epigallocatechin-3-gallate improves the quality of maternally aged oocytes. Cell Prolif 2024; 57:e13575. [PMID: 38010042 PMCID: PMC10984106 DOI: 10.1111/cpr.13575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 10/15/2023] [Accepted: 10/31/2023] [Indexed: 11/29/2023] Open
Abstract
The decline in female fertility as age advances is intricately linked to the diminished developmental potential of oocytes. Despite this challenge, the strategies available to enhance the quality of aged oocytes remain limited. Epigallocatechin-3-gallate (EGCG), characterised by its anti-inflammatory, antioxidant and tissue protective properties, holds promise as a candidate for improving the quality of maternally aged oocytes. In this study, we explored the precise impact and underlying mechanisms of EGCG on aged oocytes. EGCG exhibited the capacity to enhance the quality of aged oocytes both in vitro and in vivo. Specifically, the application of EGCG in vitro resulted in noteworthy improvements, including an increased rate of first polar body extrusion, enhanced mitochondrial function, refined spindle morphology and a reduction in oxidative stress. These beneficial effects were further validated by the improved fertility observed among aged mice. In addition, our findings propose that EGCG might augment the expression of Arf6. This augmentation, in turn, contributes to the assembly of spindle-associated F-actin, which can contribute to mitigate the aneuploidy induced by the disruption of spindle F-actin within aged oocytes. This work thus contributes not only to understanding the role of EGCG in bolstering oocyte health, but also underscores its potential as a therapeutic intervention to address fertility challenges associated with advanced age.
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Affiliation(s)
- HongHui Zhang
- State Key Laboratory of Reproductive Medicine and Offspring HealthShandong UniversityJinanChina
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu SchoolNanjing Medical UniversityNanjingChina
- Key Laboratory of Reproductive Endocrinology of Ministry of EducationShandong UniversityJinanChina
- National Research Center for Assisted Reproductive Technology and Reproductive GeneticShandong UniversityJinanChina
- Research Unit of Gametogenesis and Health of ART‐Offspring, Chinese Academy of Medical Sciences (No.2021RU001)JinanChina
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanChina
| | - Wei Su
- State Key Laboratory of Reproductive Medicine and Offspring HealthShandong UniversityJinanChina
- Key Laboratory of Reproductive Endocrinology of Ministry of EducationShandong UniversityJinanChina
- National Research Center for Assisted Reproductive Technology and Reproductive GeneticShandong UniversityJinanChina
- Research Unit of Gametogenesis and Health of ART‐Offspring, Chinese Academy of Medical Sciences (No.2021RU001)JinanChina
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanChina
| | - RuSong Zhao
- State Key Laboratory of Reproductive Medicine and Offspring HealthShandong UniversityJinanChina
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu SchoolNanjing Medical UniversityNanjingChina
- Key Laboratory of Reproductive Endocrinology of Ministry of EducationShandong UniversityJinanChina
- National Research Center for Assisted Reproductive Technology and Reproductive GeneticShandong UniversityJinanChina
- Research Unit of Gametogenesis and Health of ART‐Offspring, Chinese Academy of Medical Sciences (No.2021RU001)JinanChina
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanChina
| | - Mei Li
- State Key Laboratory of Reproductive Medicine and Offspring HealthShandong UniversityJinanChina
- Key Laboratory of Reproductive Endocrinology of Ministry of EducationShandong UniversityJinanChina
- National Research Center for Assisted Reproductive Technology and Reproductive GeneticShandong UniversityJinanChina
- Research Unit of Gametogenesis and Health of ART‐Offspring, Chinese Academy of Medical Sciences (No.2021RU001)JinanChina
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanChina
| | - ShiGang Zhao
- State Key Laboratory of Reproductive Medicine and Offspring HealthShandong UniversityJinanChina
- Key Laboratory of Reproductive Endocrinology of Ministry of EducationShandong UniversityJinanChina
- National Research Center for Assisted Reproductive Technology and Reproductive GeneticShandong UniversityJinanChina
- Research Unit of Gametogenesis and Health of ART‐Offspring, Chinese Academy of Medical Sciences (No.2021RU001)JinanChina
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanChina
| | - Zi‐Jiang Chen
- State Key Laboratory of Reproductive Medicine and Offspring HealthShandong UniversityJinanChina
- Key Laboratory of Reproductive Endocrinology of Ministry of EducationShandong UniversityJinanChina
- National Research Center for Assisted Reproductive Technology and Reproductive GeneticShandong UniversityJinanChina
- Research Unit of Gametogenesis and Health of ART‐Offspring, Chinese Academy of Medical Sciences (No.2021RU001)JinanChina
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanChina
- Shanghai Key Laboratory for Assisted Reproduction and Reproductive GeneticsShanghaiChina
- Center for Reproductive Medicine, Ren Ji Hospital, School of MedicineShanghai Jiao Tong UniversityShanghaiChina
| | - Han Zhao
- State Key Laboratory of Reproductive Medicine and Offspring HealthShandong UniversityJinanChina
- Key Laboratory of Reproductive Endocrinology of Ministry of EducationShandong UniversityJinanChina
- National Research Center for Assisted Reproductive Technology and Reproductive GeneticShandong UniversityJinanChina
- Research Unit of Gametogenesis and Health of ART‐Offspring, Chinese Academy of Medical Sciences (No.2021RU001)JinanChina
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanChina
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3
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Esbert M, García C, Cutts G, Lara-Molina E, Garrido N, Ballestros A, Scott RT, Seli E, Wells D. Oocyte rescue in-vitro maturation does not adversely affect chromosome segregation during the first meiotic division. Reprod Biomed Online 2024; 48:103379. [PMID: 37919136 DOI: 10.1016/j.rbmo.2023.103379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 08/07/2023] [Accepted: 08/29/2023] [Indexed: 11/04/2023]
Abstract
RESEARCH QUESTION Does rescue in-vitro maturation (IVM) in the presence or absence of cumulus cells, affect the progress of meiosis I, compared with oocytes that mature in vivo? DESIGN This prospective study was conducted in a university-affiliated fertility centre. Ninety-five young oocyte donors (mean age 25.57 ± 4.47) with a normal karyotype and no known fertility problems were included. A total of 390 oocytes (116 mature metaphase II [MII] and 274 immature oocytes) were analysed. The immature oocytes underwent rescue IVM in the presence of cumulus cells (CC; IVM+CC; n = 137) or without them (IVM-CC; n = 137), and IVM rate was calculated. Chromosome copy number analysis using next-generation sequencing (NGS) was performed on all rescue IVM oocytes reaching MII as well as those that were mature at the time of initial denudation (in-vivo-matured oocytes [IVO]). RESULTS Maturation rates were similar in IVM+CC and IVM-CC oocytes (62.8 versus 71.5%, P = 0.16). Conclusive cytogenetic results were obtained from 65 MII oocytes from the IVM+CC group, 87 from the IVM-CC group, and 99 from the IVO group. Oocyte euploidy rates for the three groups were similar, at 75.4%, 83.9% and 80.8%, respectively (P = 0.42). CONCLUSIONS The results suggest that culture of germinal vesicle and metaphase I oocytes in the presence of cumulus cells does not improve rates of IVM. In general, the process of rescue IVM does not appear to alter the frequency of oocytes with a normal chromosome copy number.
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Affiliation(s)
- Marga Esbert
- IVIRMA Global Research Alliance, IVI Barcelona, Barcelona, Spain.
| | - Cristina García
- IVIRMA Global Research Alliance, IVI Barcelona, Barcelona, Spain
| | | | | | - Nicolás Garrido
- IVIRMA Global Research Alliance, IVI Foundation, Instituto de Investigación Sanitaria La Fe, Valencia, Spain
| | | | - Richard T Scott
- IVIRMA Global Research Alliance, RMA New Jersey, NJ, USA; Department of Obstetrics and Gynecology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - Emre Seli
- IVIRMA Global Research Alliance, RMA New Jersey, NJ, USA; Department of obstetrics, gynecology and reproductive Sciences, Yale School of Medicine, New Haven, CT, USA
| | - Dagan Wells
- Juno Genetics, Oxford Science Park, Oxford, UK; Nuffield Department of Women's and Reproductive Health, John Radcliffe Hospital, University of Oxford, Oxford, UK
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4
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Bao H, Cao J, Chen M, Chen M, Chen W, Chen X, Chen Y, Chen Y, Chen Y, Chen Z, Chhetri JK, Ding Y, Feng J, Guo J, Guo M, He C, Jia Y, Jiang H, Jing Y, Li D, Li J, Li J, Liang Q, Liang R, Liu F, Liu X, Liu Z, Luo OJ, Lv J, Ma J, Mao K, Nie J, Qiao X, Sun X, Tang X, Wang J, Wang Q, Wang S, Wang X, Wang Y, Wang Y, Wu R, Xia K, Xiao FH, Xu L, Xu Y, Yan H, Yang L, Yang R, Yang Y, Ying Y, Zhang L, Zhang W, Zhang W, Zhang X, Zhang Z, Zhou M, Zhou R, Zhu Q, Zhu Z, Cao F, Cao Z, Chan P, Chen C, Chen G, Chen HZ, Chen J, Ci W, Ding BS, Ding Q, Gao F, Han JDJ, Huang K, Ju Z, Kong QP, Li J, Li J, Li X, Liu B, Liu F, Liu L, Liu Q, Liu Q, Liu X, Liu Y, Luo X, Ma S, Ma X, Mao Z, Nie J, Peng Y, Qu J, Ren J, Ren R, Song M, Songyang Z, Sun YE, Sun Y, Tian M, Wang S, Wang S, Wang X, Wang X, Wang YJ, Wang Y, Wong CCL, Xiang AP, Xiao Y, Xie Z, Xu D, Ye J, Yue R, Zhang C, Zhang H, Zhang L, Zhang W, Zhang Y, Zhang YW, Zhang Z, Zhao T, Zhao Y, Zhu D, Zou W, Pei G, Liu GH. Biomarkers of aging. SCIENCE CHINA. LIFE SCIENCES 2023; 66:893-1066. [PMID: 37076725 PMCID: PMC10115486 DOI: 10.1007/s11427-023-2305-0] [Citation(s) in RCA: 99] [Impact Index Per Article: 99.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 02/27/2023] [Indexed: 04/21/2023]
Abstract
Aging biomarkers are a combination of biological parameters to (i) assess age-related changes, (ii) track the physiological aging process, and (iii) predict the transition into a pathological status. Although a broad spectrum of aging biomarkers has been developed, their potential uses and limitations remain poorly characterized. An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research: How old are we? Why do we get old? And how can we age slower? This review aims to address this need. Here, we summarize our current knowledge of biomarkers developed for cellular, organ, and organismal levels of aging, comprising six pillars: physiological characteristics, medical imaging, histological features, cellular alterations, molecular changes, and secretory factors. To fulfill all these requisites, we propose that aging biomarkers should qualify for being specific, systemic, and clinically relevant.
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Affiliation(s)
- Hainan Bao
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Jiani Cao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Mengting Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Min Chen
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Wei Chen
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China
| | - Xiao Chen
- Department of Nuclear Medicine, Daping Hospital, Third Military Medical University, Chongqing, 400042, China
| | - Yanhao Chen
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yu Chen
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Yutian Chen
- The Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Zhiyang Chen
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China
| | - Jagadish K Chhetri
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Yingjie Ding
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Junlin Feng
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Jun Guo
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Mengmeng Guo
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
| | - Chuting He
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Yujuan Jia
- Department of Neurology, First Affiliated Hospital, Shanxi Medical University, Taiyuan, 030001, China
| | - Haiping Jiang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Ying Jing
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Dingfeng Li
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China
| | - Jiaming Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jingyi Li
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Qinhao Liang
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China
| | - Rui Liang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China
| | - Feng Liu
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China
| | - Xiaoqian Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Zuojun Liu
- School of Life Sciences, Hainan University, Haikou, 570228, China
| | - Oscar Junhong Luo
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Jianwei Lv
- School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Jingyi Ma
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Kehang Mao
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China
| | - Jiawei Nie
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xinhua Qiao
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xinpei Sun
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Jianfang Wang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Qiaoran Wang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Siyuan Wang
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China
| | - Xuan Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China
| | - Yaning Wang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yuhan Wang
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Rimo Wu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China
| | - Kai Xia
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Fu-Hui Xiao
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Lingyan Xu
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Yingying Xu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Haoteng Yan
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Liang Yang
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China
| | - Ruici Yang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yuanxin Yang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Yilin Ying
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China
| | - Le Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Weiwei Zhang
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China
| | - Wenwan Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Xing Zhang
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China
| | - Zhuo Zhang
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Min Zhou
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China
| | - Rui Zhou
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Qingchen Zhu
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Zhengmao Zhu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Feng Cao
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China.
| | - Zhongwei Cao
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Piu Chan
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
| | - Chang Chen
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Guobing Chen
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, 510632, China.
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Guangzhou, 510000, China.
| | - Hou-Zao Chen
- Department of Biochemistryand Molecular Biology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China.
| | - Jun Chen
- Peking University Research Center on Aging, Beijing Key Laboratory of Protein Posttranslational Modifications and Cell Function, Department of Biochemistry and Molecular Biology, Department of Integration of Chinese and Western Medicine, School of Basic Medical Science, Peking University, Beijing, 100191, China.
| | - Weimin Ci
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
| | - Bi-Sen Ding
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Qiurong Ding
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Feng Gao
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China.
| | - Jing-Dong J Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China.
| | - Kai Huang
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Zhenyu Ju
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China.
| | - Qing-Peng Kong
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
| | - Ji Li
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China.
| | - Jian Li
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China.
| | - Xin Li
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Baohua Liu
- School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen, 518060, China.
| | - Feng Liu
- Metabolic Syndrome Research Center, The Second Xiangya Hospital, Central South Unversity, Changsha, 410011, China.
| | - Lin Liu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China.
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Institute of Translational Medicine, Tianjin Union Medical Center, Nankai University, Tianjin, 300000, China.
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, 300350, China.
| | - Qiang Liu
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China.
| | - Qiang Liu
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, 300052, China.
- Tianjin Institute of Immunology, Tianjin Medical University, Tianjin, 300070, China.
| | - Xingguo Liu
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China.
| | - Yong Liu
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China.
| | - Xianghang Luo
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China.
| | - Shuai Ma
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Xinran Ma
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
| | - Zhiyong Mao
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Jing Nie
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| | - Yaojin Peng
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jing Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jie Ren
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Ruibao Ren
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Center for Aging and Cancer, Hainan Medical University, Haikou, 571199, China.
| | - Moshi Song
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Zhou Songyang
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China.
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
| | - Yi Eve Sun
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China.
| | - Yu Sun
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Department of Medicine and VAPSHCS, University of Washington, Seattle, WA, 98195, USA.
| | - Mei Tian
- Human Phenome Institute, Fudan University, Shanghai, 201203, China.
| | - Shusen Wang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China.
| | - Si Wang
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
| | - Xia Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China.
| | - Xiaoning Wang
- Institute of Geriatrics, The second Medical Center, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
| | - Yan-Jiang Wang
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
| | - Yunfang Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China.
| | - Catherine C L Wong
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China.
| | - Andy Peng Xiang
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China.
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Yichuan Xiao
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Zhengwei Xie
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China.
- Beijing & Qingdao Langu Pharmaceutical R&D Platform, Beijing Gigaceuticals Tech. Co. Ltd., Beijing, 100101, China.
| | - Daichao Xu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China.
| | - Jing Ye
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China.
| | - Rui Yue
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Cuntai Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China.
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Hongbo Zhang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Liang Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Weiqi Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Yong Zhang
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Yun-Wu Zhang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
| | - Zhuohua Zhang
- Key Laboratory of Molecular Precision Medicine of Hunan Province and Center for Medical Genetics, Institute of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, 410078, China.
- Department of Neurosciences, Hengyang Medical School, University of South China, Hengyang, 421001, China.
| | - Tongbiao Zhao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Yuzheng Zhao
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China.
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China.
| | - Dahai Zhu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Weiguo Zou
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Gang Pei
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Biomedicine, The Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai, 200070, China.
| | - Guang-Hui Liu
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
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5
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Yuan P, Guo Q, Guo H, Lian Y, Zhai F, Yan Z, Long C, Zhu P, Tang F, Qiao J, Yan L. The methylome of a human polar body reflects that of its sibling oocyte and its aberrance may indicate poor embryo development. Hum Reprod 2021; 36:318-330. [PMID: 33313772 DOI: 10.1093/humrep/deaa292] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 09/22/2020] [Indexed: 01/09/2023] Open
Abstract
STUDY QUESTION Is it possible to evaluate the methylome of individual oocytes to investigate the DNA methylome alterations in metaphase II (MII) oocytes with reduced embryo developmental potential? SUMMARY ANSWER The DNA methylome of each human first polar body (PB1) closely mirrored that of its sibling MII oocyte; hypermethylated long interspersed nuclear element (LINE) and long terminal repeats (LTRs) and methylation aberrations in PB1 promoter regions may indicate poor embryo development. WHAT IS KNOWN ALREADY The developmental potential of an embryo is determined by the oocyte's developmental competence, and the PB1 is a good substitute to examine the chromosomal status of the corresponding oocyte. However, DNA methylation, a key epigenetic modification, also regulates gene expression and embryo development. STUDY DESIGN, SIZE, DURATION Twelve pairs of PB1s and sibling MII oocytes were biopsied and sequenced to compare their methylomes. To further investigate the methylome of PB1s and the potential epigenetic factors that may affect oocyte quality, MII oocytes (n = 74) were fertilized through ICSI, while PB1s were biopsied and profiled to measure DNA methylation. The corresponding embryos were further cultured to track their development potential. The oocytes and sperm samples used in this study were donated by healthy volunteers with signed informed consent. PARTICIPANTS/MATERIALS, SETTING, METHODS Single-cell methylome sequencing was applied to obtain the DNA methylation profiles of PB1s and oocytes. The DNA methylome of PB1s was compared between the respective group of oocytes that progressed to blastocysts and the group of oocytes that failed to develop. DNA methylation levels of corresponding regions and differentially methylated regions were calculated using customized Perl and R scripts. RNA-seq data were downloaded from a previously published paper and reanalysed. MAIN RESULTS AND THE ROLE OF CHANCE The results from PB1-MII oocyte pair validated that PB1 contains nearly the same methylome (average Pearson correlation is 0.92) with sibling MII oocyte. LINE and LTR expression increased markedly after fertilization. Moreover, the DNA methylation levels in LINE (including LINE1 and LINE2) and LTR were significantly higher in the PB1s of embryos that could not reach the blastocyst stage (Wilcoxon-Matt-Whitney test, P < 0.05). DNA methylation in PB1 promoters correlated negatively with gene expression of MII oocyte. Regarding the methylation status of the promoter regions, 66 genes were hypermethylated in the developmental arrested group, with their related functions (significantly enriched in several Gene Ontology terms) including transcription, positive regulation of adenylate cyclase activity, mitogen-activated protein kinase (MAPK) cascade and intracellular oestrogen receptor signalling pathway. LARGE SCALE DATA N/A. LIMITATIONS, REASONS FOR CAUTION Data analysis performed in this study focused on the competence of human oocytes and compared them with maternal genetic and epigenetic profiles. Therefore, data regarding the potential regulatory roles of paternal genomes in embryo development are lacking. WIDER IMPLICATIONS OF THE FINDINGS The results from PB1-oocyte pairs demonstrated that PB1s shared similar methylomes with their sibling oocytes. The selection of the good embryos for transfer should not only rely on morphology but also consider the DNA methylation of the corresponding PB1 and therefore MII oocyte. The application of early-stage analysis of PB1 offers an option for high-quality oocyte and embryo selection, which provides an additional tool for elective single embryo transfer in assisted reproduction. STUDY FUNDING/COMPETING INTEREST(S) This study was supported by the National Key Research and Development Program of China (2018YFC1004003, 2017YFA0103801), the National Natural Science Foundation of China (81730038, 3187144, 81521002) and the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA16020703). The authors have no conflicts of interest to declare.
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Affiliation(s)
- Peng Yuan
- Department of Obstetrics and Gynecology, Beijing Advanced Innovation Center for Genomics, Third Hospital, Peking University, Beijing, China.,Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China.,National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology (Peking University Third Hospital), Beijing, China
| | - Qianying Guo
- Department of Obstetrics and Gynecology, Beijing Advanced Innovation Center for Genomics, Third Hospital, Peking University, Beijing, China.,Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China.,National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology (Peking University Third Hospital), Beijing, China
| | - Hongshan Guo
- Department of Obstetrics and Gynecology, Beijing Advanced Innovation Center for Genomics, Third Hospital, Peking University, Beijing, China.,Biomedical Institute for Pioneering Investigation via Convergence, College of Life Sciences, Peking University, Beijing, China.,Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
| | - Ying Lian
- Department of Obstetrics and Gynecology, Beijing Advanced Innovation Center for Genomics, Third Hospital, Peking University, Beijing, China.,Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China.,National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology (Peking University Third Hospital), Beijing, China
| | - Fan Zhai
- Department of Obstetrics and Gynecology, Beijing Advanced Innovation Center for Genomics, Third Hospital, Peking University, Beijing, China.,Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China.,National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology (Peking University Third Hospital), Beijing, China
| | - Zhiqiang Yan
- Department of Obstetrics and Gynecology, Beijing Advanced Innovation Center for Genomics, Third Hospital, Peking University, Beijing, China.,Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China.,National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology (Peking University Third Hospital), Beijing, China
| | - Chuan Long
- Department of Obstetrics and Gynecology, Beijing Advanced Innovation Center for Genomics, Third Hospital, Peking University, Beijing, China.,Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China.,National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology (Peking University Third Hospital), Beijing, China
| | - Ping Zhu
- Biomedical Institute for Pioneering Investigation via Convergence, College of Life Sciences, Peking University, Beijing, China.,Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.,State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Fuchou Tang
- Biomedical Institute for Pioneering Investigation via Convergence, College of Life Sciences, Peking University, Beijing, China.,Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
| | - Jie Qiao
- Department of Obstetrics and Gynecology, Beijing Advanced Innovation Center for Genomics, Third Hospital, Peking University, Beijing, China.,Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China.,National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology (Peking University Third Hospital), Beijing, China.,Biomedical Institute for Pioneering Investigation via Convergence, College of Life Sciences, Peking University, Beijing, China.,Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
| | - Liying Yan
- Department of Obstetrics and Gynecology, Beijing Advanced Innovation Center for Genomics, Third Hospital, Peking University, Beijing, China.,Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing, China.,National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology (Peking University Third Hospital), Beijing, China
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6
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Muhammad T, Wan Y, Sha Q, Wang J, Huang T, Cao Y, Li M, Yu X, Yin Y, Chan WY, Chen ZJ, You L, Lu G, Liu H. IGF2 improves the developmental competency and meiotic structure of oocytes from aged mice. Aging (Albany NY) 2020; 13:2118-2134. [PMID: 33318299 PMCID: PMC7880328 DOI: 10.18632/aging.202214] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 10/22/2020] [Indexed: 12/11/2022]
Abstract
Advanced maternal-age is a major factor adversely affecting oocyte quality, consequently worsening pregnancy outcomes. Thus, developing strategies to reduce the developmental defects associated with advanced maternal-age would benefit older mothers. Multiple growth factors involved in female fertility have been extensively studied; however, the age-related impacts of various growth factors remain poorly studied. In the present study, we identified that levels of insulin-like growth factor 2 (IGF2) are significantly reduced in the serum and oocytes of aged mice. We found that adding IGF2 in culture medium promotes oocyte maturation and significantly increases the proportion of blastocysts: from 41% in the untreated control group to 64% (50 nM IGF2) in aged mice (p < 0.05). Additionally, IGF2 supplementation of the culture medium reduced reactive oxygen species production and the incidence of spindle/chromosome defects. IGF2 increases mitochondrial functional activity in oocytes from aged mice: we detected increased ATP levels, elevated fluorescence intensity of mitochondria, higher mitochondrial membrane potentials, and increased overall protein synthesis, as well as increased autophagy activity and decreased apoptosis. Collectively, our findings demonstrate that IGF2 supplementation in culture media improves oocyte developmental competence and reduces meiotic structure defects in oocytes from aged mice.
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Affiliation(s)
- Tahir Muhammad
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan 250012, Shandong, China.,Shandong Key Laboratory of Reproductive Medicine, Jinan 250012, Shandong, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan 250012, Shandong, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan 250012, Shandong, China
| | - Yanling Wan
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan 250012, Shandong, China.,Shandong Key Laboratory of Reproductive Medicine, Jinan 250012, Shandong, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan 250012, Shandong, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan 250012, Shandong, China
| | - Qianqian Sha
- Fertility Preservation Laboratory, Reproductive Medicine Center, Guangdong Second Provincial General Hospital, Guangzhou 510317, China
| | - Jianfeng Wang
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan 250012, Shandong, China.,Shandong Key Laboratory of Reproductive Medicine, Jinan 250012, Shandong, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan 250012, Shandong, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan 250012, Shandong, China
| | - Tao Huang
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan 250012, Shandong, China.,Shandong Key Laboratory of Reproductive Medicine, Jinan 250012, Shandong, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan 250012, Shandong, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan 250012, Shandong, China
| | - Yongzhi Cao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan 250012, Shandong, China.,Shandong Key Laboratory of Reproductive Medicine, Jinan 250012, Shandong, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan 250012, Shandong, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan 250012, Shandong, China
| | - Mengjing Li
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan 250012, Shandong, China.,Shandong Key Laboratory of Reproductive Medicine, Jinan 250012, Shandong, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan 250012, Shandong, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan 250012, Shandong, China
| | - Xiaochen Yu
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan 250012, Shandong, China.,Shandong Key Laboratory of Reproductive Medicine, Jinan 250012, Shandong, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan 250012, Shandong, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan 250012, Shandong, China
| | - Yingying Yin
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan 250012, Shandong, China.,Shandong Key Laboratory of Reproductive Medicine, Jinan 250012, Shandong, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan 250012, Shandong, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan 250012, Shandong, China
| | - Wai Yee Chan
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan 250012, Shandong, China.,CUHK-SDU Joint Laboratory on Reproductive Genetics, School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong 999077, China
| | - Zi-Jiang Chen
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan 250012, Shandong, China.,Shandong Key Laboratory of Reproductive Medicine, Jinan 250012, Shandong, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan 250012, Shandong, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan 250012, Shandong, China.,Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai 200000, China.,Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200135, China
| | - Li You
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan 250012, Shandong, China.,Shandong Key Laboratory of Reproductive Medicine, Jinan 250012, Shandong, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan 250012, Shandong, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan 250012, Shandong, China
| | - Gang Lu
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan 250012, Shandong, China.,CUHK-SDU Joint Laboratory on Reproductive Genetics, School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong 999077, China
| | - Hongbin Liu
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan 250012, Shandong, China.,Shandong Key Laboratory of Reproductive Medicine, Jinan 250012, Shandong, China.,Shandong Provincial Clinical Research Center for Reproductive Health, Jinan 250012, Shandong, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan 250012, Shandong, China.,CUHK-SDU Joint Laboratory on Reproductive Genetics, School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong 999077, China
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7
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Handyside AH, McCollin A, Summers MC, Ottolini CS. Copy number analysis of meiotic and postzygotic mitotic aneuploidies in trophectoderm cells biopsied at the blastocyst stage and arrested embryos. Prenat Diagn 2020; 41:525-535. [PMID: 32833230 DOI: 10.1002/pd.5816] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 08/04/2020] [Accepted: 08/19/2020] [Indexed: 11/09/2022]
Abstract
Preimplantation genetic testing for aneuploidy (PGT-A) by copy number analysis is now widely used to select euploid embryos for transfer. Whole or partial chromosome aneuploidy can arise in meiosis, predominantly female meiosis, or in the postzygotic, mitotic divisions during cleavage and blastocyst formation, resulting in chromosome mosaicism. Meiotic aneuploidies are almost always lethal, however, the clinical significance of mitotic aneuploidies detected by PGT-A is not fully understood and healthy live births have been reported following transfer of mosaic embryos. Here, we used single nucleotide polymorphism genotyping of both polar bodies and embryo samples to identify meiotic aneuploidies and compared copy number changes for meiotic and presumed mitotic aneuploidies in trophectoderm cells biopsied at the blastocyst stage and arrested embryos. PGT-A detected corresponding full copy number changes (≥70%) for 36/37 (97%) maternal meiotic aneuploidies. The number of presumed mitotic copy number changes detected exceeded those of meiotic origin. Although mainly in the mosaic range, some of these mitotic aneuploidies had copy number changes ≥70% and would have been identified as full aneuploidies. Interestingly, many arrested embryos had multiple mitotic aneuploidies across a broad range of copy number changes, which may have arisen through tripolar spindle and other mitotic abnormalities.
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Affiliation(s)
| | | | - Michael C Summers
- School of Biosciences, University of Kent, Canterbury, UK.,London Women's Clinic, London, UK
| | - Christian S Ottolini
- School of Biosciences, University of Kent, Canterbury, UK.,London Women's Clinic, London, UK.,The Evewell, London, UK
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8
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Next-generation sequencing analysis of each blastomere in good-quality embryos: insights into the origins and mechanisms of embryonic aneuploidy in cleavage-stage embryos. J Assist Reprod Genet 2020; 37:1711-1718. [PMID: 32445153 DOI: 10.1007/s10815-020-01803-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Accepted: 04/28/2020] [Indexed: 01/06/2023] Open
Abstract
PURPOSE To explore the whole-chromosome status, origins, and mechanisms of chromosomal abnormalities in good-quality cleavage embryos using multiple annealing and looping-based amplification cycle (MALBAC) sequencing. METHODS The embryos studied came from7 patients (maternal aged 26-35) who had healthy birth from the same IVF cycles. These 21 frozen day 3 good-quality embryos were thawed and disaggregated into individual blastomere. Each blastomere was collected and analyzed by MALBAC sequencing. RESULTS Conclusive results were obtained from a high percentage of blastomeres (95.3%). A total of 46.6% of blastomeres were diploid, 53.4% were abnormal, and 28.0% had complex aneuploidy. Out of 21 embryos, 3 (14.3%) were normal and 18 (85.7%) were mosaics, showing the occurrence of mitotic errors; aneuploidy was confirmed in all cells of 4 of the 18 embryos, which showed the coexistence of meiotic errors. Conclusive results were obtained from all blastomeres of 15 embryos (71.4%, 15/21), which enabled us to reconstruct the cell lineage on the basis of the chromosomal content of the blastomeres in each division. There were 9 mitotic errors (8.7%, 9/103): nondisjunction accounted for 88.9% (8/9), and endoreplication accounted for 11.1% (1/9). CONCLUSIONS In good-quality embryos, there was a high rate and diverse array of chromosomal abnormalities. Morphological evaluation does not appear to assist in the reduction in meiotic errors from parental origins. Mitotic errors were common, and nondisjunction was found to be the main mechanism causing malsegregation during the cleavage divisions.
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9
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Krisher RL. Maternal age affects oocyte developmental potential at both ends of the age spectrum. Reprod Fertil Dev 2019; 31:1-9. [PMID: 32188537 DOI: 10.1071/rd18340] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Maternal age has a significant effect on oocyte developmental competence. Overall, evidence suggests that oocytes from both prepubertal females and reproductively aged females are inherently less competent. Reduced oocyte quality in both age groups is problematic for human medicine and agriculture. Some of the cellular mechanisms implicated in poor oocyte quality associated with maternal age are mitochondrial function and location, reduction of oxygen radicals, balance of metabolic pathways, regulation of maternal mRNAs and appropriate communication between the oocyte and cumulus cells. However, additional knowledge must be gained about the deficiencies present in prepubertal and reproductively aged oocytes that result in poor developmental potential before significant improvement can be achieved. This review discusses the evidence currently available regarding oocyte quality at both ends of the maternal age spectrum, what we know, or hypothesise, about the mechanisms involved and current thoughts regarding potential treatment for improvement.
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Affiliation(s)
- Rebecca L Krisher
- Colorado Center for Reproductive Medicine, 10290 RidgeGate Circle, Lone Tree, CO 80124, USA. Email
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10
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Pasquariello R, Ermisch AF, Silva E, McCormick S, Logsdon D, Barfield JP, Schoolcraft WB, Krisher RL. Alterations in oocyte mitochondrial number and function are related to spindle defects and occur with maternal aging in mice and humans†. Biol Reprod 2018; 100:971-981. [DOI: 10.1093/biolre/ioy248] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 10/29/2018] [Accepted: 11/19/2018] [Indexed: 01/09/2023] Open
Affiliation(s)
- Rolando Pasquariello
- Colorado Center for Reproductive Medicine, Lone Tree, Colorado, USA
- Colorado State University, College of Veterinary Medicine and Biomedical Sciences, Department of Biomedical Sciences, Animal Reproduction and Biotechnology Laboratory, Fort Collins, Colorado, USA
| | - Alison F Ermisch
- Colorado Center for Reproductive Medicine, Lone Tree, Colorado, USA
| | - Elena Silva
- Colorado Center for Reproductive Medicine, Lone Tree, Colorado, USA
| | - Sue McCormick
- Colorado Center for Reproductive Medicine, Lone Tree, Colorado, USA
| | - Deirdre Logsdon
- Colorado Center for Reproductive Medicine, Lone Tree, Colorado, USA
| | - Jennifer P Barfield
- Colorado State University, College of Veterinary Medicine and Biomedical Sciences, Department of Biomedical Sciences, Animal Reproduction and Biotechnology Laboratory, Fort Collins, Colorado, USA
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11
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Capalbo A, Hoffmann ER, Cimadomo D, Maria Ubaldi F, Rienzi L. Human female meiosis revised: new insights into the mechanisms of chromosome segregation and aneuploidies from advanced genomics and time-lapse imaging. Hum Reprod Update 2017; 23:706-722. [DOI: 10.1093/humupd/dmx026] [Citation(s) in RCA: 117] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2017] [Accepted: 08/11/2017] [Indexed: 12/14/2022] Open
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12
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Albertini DF. Rehabilitating human oocytes by polar body transplantation. J Assist Reprod Genet 2017; 34:547-548. [PMID: 28480487 DOI: 10.1007/s10815-017-0942-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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13
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Non-invasive preimplantation genetic screening using array comparative genomic hybridization on spent culture media: a proof-of-concept pilot study. Reprod Biomed Online 2017; 34:583-589. [PMID: 28416168 DOI: 10.1016/j.rbmo.2017.03.015] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Revised: 03/16/2017] [Accepted: 03/16/2017] [Indexed: 11/21/2022]
Abstract
The aim of this pilot study was to assess if array comparative genomic hybridization (aCGH), non-invasive preimplantation genetic screening (PGS) on blastocyst culture media is feasible. Therefore, aCGH analysis was carried out on 22 spent blastocyst culture media samples after polar body PGS because of advanced maternal age. All oocytes were fertilized by intracytoplasmic sperm injection and all embryos underwent assisted hatching. Concordance of polar body analysis and culture media genetic results was assessed. Thirteen out of 18 samples (72.2%) revealed general concordance of ploidy status (euploid or aneuploid). At least one chromosomal aberration was found concordant in 10 out of 15 embryos found to be aneuploid by both polar body and culture media analysis. Overall, 17 out of 35 (48.6%) single chromosomal aneuploidies were concordant between the culture media and polar body analysis. By analysing negative controls (oocytes with fertilization failure), notable maternal contamination was observed. Therefore, non-invasive PGS could serve as a second matrix after polar body or cleavage stage PGS; however, in euploid results, maternal contamination needs to be considered and results interpreted with caution.
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14
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Guimarães F, Roque M, Valle M, Kostolias A, Azevedo RAD, Martinhago CD, Sampaio M, Geber S. Live births after polar body biopsy and frozen-thawed cleavage stage embryo transfer: case report. JBRA Assist Reprod 2016; 20:253-256. [PMID: 28050963 PMCID: PMC5265627 DOI: 10.5935/1518-0557.20160049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Pre-implantation genetic diagnosis (PGD) or screening (PGS) technology, has
emerged and developed in the past few years, benefiting couples as it allows the
selection and transfer of healthy embryos during IVF treatments. These
techniques can be performed in oocytes (polar-body biopsy) or embryos
(blastomere or trophectoderm biopsy). In this case report, we describe the first
two live births to be published in Brazil after a polar-body (PB) biopsy. In
case 1, a 42-year-old was submitted to PB biopsy with PGS due to advanced
maternal age and poor ovarian reserve. Five MII oocytes underwent first and
second polar body biopsy and four cleavage embryos were cryopreserved. The PGS
analysis resulted in two euploid embryos (next generation sequence). A
frozen-thawed embryo transfer (FET) was performed after endometrial priming and
a healthy baby was delivered after a cesarean section (37 weeks, female, 3390g,
47.5 cm). In case 2, a 40-year old patient with balanced translocation and poor
ovarian response was submitted to PB biopsy. Two MII oocytes underwent first and
second polar body biopsy and two embryos were cryopreserved in cleavage stage.
The analysis resulted in one euploid embryo that was transferred after
endometrial priming. A preterm healthy baby (34 weeks, female, 2100g, 40 cm) was
delivered via cesarean section. In conclusion, although the blastocyst biopsy is
the norm when performing PGS/PGD during IVF treatments, other alternatives (as
PB biopsy) should be considered in some specific situations.
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Affiliation(s)
| | - Matheus Roque
- ORIGEN - Center for Reproductive Medicine, Rio de Janeiro/RJ - Brazil.,UFMG - Universidade Federal de Minas Gerais, Belo Horizonte/MG - Brazil
| | - Marcello Valle
- ORIGEN - Center for Reproductive Medicine, Rio de Janeiro/RJ - Brazil
| | | | | | | | - Marcos Sampaio
- ORIGEN - Center for Reproductive Medicine, Belo Horizonte/MG - Brazil
| | - Selmo Geber
- UFMG - Universidade Federal de Minas Gerais, Belo Horizonte/MG - Brazil.,ORIGEN - Center for Reproductive Medicine, Belo Horizonte/MG - Brazil
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15
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Combination of spindle and first polar body chromosome images for the enhanced prediction of developmental potency of mouse metaphase II oocytes. ZYGOTE 2016; 24:900-908. [PMID: 27733212 DOI: 10.1017/s096719941600023x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The objective of this study was to classify spindle and first polar body (PB1) chromosome images in ovulated mouse oocytes over time to predict the developmental competence of metaphase II (MII) oocytes. Oocytes were collected at 12, 15, 20, and 25 h after human chorionic gonadotropin (hCG) injection, and stained for spindle tubulin, chromosomes, and PB1 chromosomes. MII spindle morphology was classified as tapered type or barrel type and PB1 chromosomes were categorized as aggregated, separated, dot, or collapsed. To determine whether differences in spindle and PB1 images in MII oocytes are associated with fertilization success, we performed in vitro fertilization (IVF) at various times after hCG injection. Barrel-type spindles and aggregate-type PB1 were dominant at 12 h after hCG injection. Oocyte spindles collected 1 h after injection were tapered, and PB1 chromosomes were separated. At 20 and 25 h after treatment, spindle and PB1 images were classified as collapsed. The rate of development to 2-cell embryos after IVF did not differ between the 12 h and 15 h treatments; however, it was significantly lower for the 25 h treatment than for other treatments. The rates of development to blastocysts at 12, 15, 20, and 25 h after hCG injection were 61, 46, 42, and 9%, respectively. MII oocytes with barrel-type spindles and aggregate-type PB1 had high rates of fertilization and blastocyst development, and spindle and PB1 characteristics were correlated with the outcomes of IVF and embryo culture. These results suggested that images of spindles combined with those of PB1 chromosomes enable the prediction of oocytic and/or embryonic quality.
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16
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Economou KA, Christopikou D, Tsorva E, Davies S, Mastrominas M, Cazlaris H, Koutsilieris M, Angelogianni P, Loutradis D. The combination of calcium ionophore A23187 and GM-CSF can safely salvage aged human unfertilized oocytes after ICSI. J Assist Reprod Genet 2016; 34:33-41. [PMID: 27743290 DOI: 10.1007/s10815-016-0823-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2016] [Accepted: 09/27/2016] [Indexed: 11/30/2022] Open
Abstract
PURPOSE Artificial oocyte activation using calcium ionophores and enhancement of embryonic developmental potential by the granulocyte-macrophage colony-stimulating factor (GM-CSF) have already been reported. In this study, we evaluated the synergistic effect of these two methods on aged human unfertilized oocytes after intracytoplasmic sperm injection (ICSI). Then, we cultured the resulting embryos to the blastocyst stage and screened them for chromosomal abnormalities, to assess the safety of this protocol. METHODS Aged human oocytes deemed unfertilized after ICSI were activated, either by briefly applying the calcium ionophore A23187 alone (group A) or by briefly applying the ionophore and then supplementing the culture medium with recombinant human GM-CSF (rhGM-CSF) (group B). Next, the development was monitored in a time-lapse incubator system, and ploidy was analyzed by array comparative genomic hybridization (aCGH), after whole embryo biopsy and whole genome amplification. Differences between oocytes and resulting embryos in both groups were evaluated statistically. RESULTS Oocytes unfertilized after ICSI can be activated with the calcium ionophore A23187 to show two pronuclei and two polar bodies. Addition of rhGM-CSF in the culture medium of A23187-activated oocytes enhances their cleaving and blastulation potential and results in more euploid blastocysts compared to the culture medium alone. CONCLUSIONS This study shows that activating post-ICSI aged human unfertilized oocytes with a combination of a calcium ionophore and a cytokine can produce good-morphology euploid blastocysts.
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Affiliation(s)
- Konstantinos A Economou
- Embryogenesis, Assisted Reproduction Unit, 49 Kifissias Avenue and Ziridi Street, 151 23 Maroussi, Athens, Greece.
| | - Dimitra Christopikou
- Embryogenesis, Assisted Reproduction Unit, 49 Kifissias Avenue and Ziridi Street, 151 23 Maroussi, Athens, Greece
| | - Erika Tsorva
- Embryogenesis, Assisted Reproduction Unit, 49 Kifissias Avenue and Ziridi Street, 151 23 Maroussi, Athens, Greece
| | - Stephen Davies
- Embryogenesis, Assisted Reproduction Unit, 49 Kifissias Avenue and Ziridi Street, 151 23 Maroussi, Athens, Greece
| | - Minas Mastrominas
- Embryogenesis, Assisted Reproduction Unit, 49 Kifissias Avenue and Ziridi Street, 151 23 Maroussi, Athens, Greece
| | - Haris Cazlaris
- Embryogenesis, Assisted Reproduction Unit, 49 Kifissias Avenue and Ziridi Street, 151 23 Maroussi, Athens, Greece
| | - Michael Koutsilieris
- Department of Physiology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Panagoula Angelogianni
- Department of Physiology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Dimitris Loutradis
- First Department of Obstetrics and Gynaecology, School of Medicine, Alexandra University Hospital, National and Kapodistrian University of Athens, Athens, Greece
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17
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Ottolini CS, Capalbo A, Newnham L, Cimadomo D, Natesan SA, Hoffmann ER, Ubaldi FM, Rienzi L, Handyside AH. Generation of meiomaps of genome-wide recombination and chromosome segregation in human oocytes. Nat Protoc 2016; 11:1229-43. [DOI: 10.1038/nprot.2016.075] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
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18
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Hochstenbach R, Nowakowska B, Volleth M, Ummels A, Kutkowska-Kaźmierczak A, Obersztyn E, Ziemkiewicz K, Gerloff C, Schanze D, Zenker M, Muschke P, Schanze I, Poot M, Liehr T. Multiple Small Supernumerary Marker Chromosomes Resulting from Maternal Meiosis I or II Errors. Mol Syndromol 2016; 6:210-21. [PMID: 26997941 PMCID: PMC4772618 DOI: 10.1159/000441408] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/16/2015] [Indexed: 01/11/2023] Open
Abstract
We present 2 cases with multiple de novo supernumerary marker chromosomes (sSMCs), each derived from a different chromosome. In a prenatal case, we found mosaicism for an sSMC(4), sSMC(6), sSMC(9), sSMC(14) and sSMC(22), while a postnatal case had an sSMC(4), sSMC(8) and an sSMC(11). SNP-marker segregation indicated that the sSMC(4) resulted from a maternal meiosis II error in the prenatal case. Segregation of short tandem repeat markers on the sSMC(8) was consistent with a maternal meiosis I error in the postnatal case. In the latter, a boy with developmental/psychomotor delay, autism, hyperactivity, speech delay, and hypotonia, the sSMC(8) was present at the highest frequency in blood. By comparison to other patients with a corresponding duplication, a minimal region of overlap for the phenotype was identified, with CHRNB3 and CHRNA6 as dosage-sensitive candidate genes. These genes encode subunits of nicotinic acetylcholine receptors (nAChRs). We propose that overproduction of these subunits leads to perturbed component stoichiometries with dominant negative effects on the function of nAChRs, as was shown by others in vitro. With the limitation that in each case only one sSMC could be studied, our findings demonstrate that different meiotic errors lead to multiple sSMCs. We relate our findings to age-related aneuploidy in female meiosis and propose that predivision sister-chromatid separation during meiosis I or II, or both, may generate multiple sSMCs.
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Affiliation(s)
- Ron Hochstenbach
- Division of Biomedical Genetics, Department of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Beata Nowakowska
- Department of Medical Genetics, Institute of the Mother and Child, Warsaw, Poland
| | | | - Amber Ummels
- Division of Biomedical Genetics, Department of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Ewa Obersztyn
- Department of Medical Genetics, Institute of the Mother and Child, Warsaw, Poland
| | - Kamila Ziemkiewicz
- Department of Medical Genetics, Institute of the Mother and Child, Warsaw, Poland
| | - Claudia Gerloff
- University Women's Clinic, Otto-von-Guericke University, Magdeburg, Germany
| | | | | | | | - Ina Schanze
- Department of Human Genetics, Magdeburg, Germany
| | - Martin Poot
- Division of Biomedical Genetics, Department of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Thomas Liehr
- Department of Human Genetics, University Clinic, Jena, Germany
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19
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Magli MC, Pomante A, Cafueri G, Valerio M, Crippa A, Ferraretti AP, Gianaroli L. Preimplantation genetic testing: polar bodies, blastomeres, trophectoderm cells, or blastocoelic fluid? Fertil Steril 2015; 105:676-683.e5. [PMID: 26658131 DOI: 10.1016/j.fertnstert.2015.11.018] [Citation(s) in RCA: 64] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2015] [Revised: 10/28/2015] [Accepted: 11/09/2015] [Indexed: 11/29/2022]
Abstract
OBJECTIVE To investigate the blastocoelic fluid (BF) for the presence of DNA that could be amplified and analyzed; the extent to which its chromosomal status corresponds to that found in trophectoderm (TE) cells, polar bodies (PBs), or blastomeres; and the identification of segmental abnormalities. DESIGN Longitudinal cohort study. SETTING In vitro fertilization unit. PATIENT(S) Fifty-one couples undergoing preimplantation genetic screening or preimplantation genetic diagnosis for translocations by array-comparative genomic hybridization on PBs (n = 21) or blastomeres (n = 30). INTERVENTION(S) BFs and TE cells were retrieved from 116 blastocysts, whose chromosome status had already been established by PB or blastomere assessment. Separate chromosome analysis was performed in 70 BFs. MAIN OUTCOME MEASURE(S) Presence of DNA in BFs, evaluation of the chromosome condition, and comparison with the diagnosis made in TE cells and at earlier stage biopsies. RESULT(S) DNA detection was 82%, with a net improvement after refinement of the procedure. In 97.1% of BFs, the ploidy condition corresponded to that found in TE cells, with one false positive and one false negative. The rate of concordance per single chromosome was 98.4%. Ploidy and chromosome concordance with PBs were 94% and 97.9%, respectively; with blastomeres, the concordances were 95% and 97.7%, respectively. Segmental abnormalities, which were detected in PBs or blastomeres of 16 blastocysts, were also identified in the corresponding BFs. CONCLUSION(S) BF represents to a good extent the blastocyst ploidy condition and chromosome status when compared with TE cells. If the proportion of clinically useful BFs is improved, blastocentesis could become the preferred source of DNA for chromosomal testing.
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Affiliation(s)
| | | | | | | | - Andor Crippa
- SISMER, Reproductive Medicine Unit, Bologna, Italy
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20
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Liu XJ. Targeting oocyte maturation to improve fertility in older women. Cell Tissue Res 2015; 363:57-68. [PMID: 26329301 DOI: 10.1007/s00441-015-2264-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2015] [Accepted: 07/08/2015] [Indexed: 11/28/2022]
Abstract
Reproductive aging is an increasingly pressing problem facing women in modern society, due to delay in child bearing. According to Statistics Canada, 52% of all Canadian births in 2011 were by women aged 30 years and older, up from 24% in 1981 ( http://www.statcan.gc.ca/pub/91-209-x/2013001/article/11784-eng.htm ). Women older than 35 years of age experience significantly increased risks of infertility, miscarriage and congenital birth defects, mostly due to poor quality of the eggs. Increasingly sophisticated, and often invasive, assisted reproductive technologies (ARTs) have helped millions of women to achieve reproductive success. However, by and large, ARTs do not address the fundamental issue of reproductive aging in women: age-related decline in egg quality. More importantly, ARTs are not, and will never be, the main solution for the general population. Here, I attempt to review the scientific literature on age-related egg quality decline, based mostly on studies in mice and in humans. Emphasis is given to the brief period of time called oocyte maturation, which occurs just prior to ovulation. The rationale for this emphasis is that oocyte maturation represents a critical window where unfavorable ovarian conditions in older females contribute significantly to the decline of egg quality, and that science-based intervention during oocyte maturation represents the best chance of improving egg quality in older women. Finally, I summarize our own work in recent years on peri-ovulatory putrescine supplementation as a possible remedy for reproductive aging.
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Affiliation(s)
- X Johné Liu
- Ottawa Hospital Research Institute, The Ottawa Hospital - General Campus, 501 Smyth Road, Box 511, Ottawa, Ontario, K1H 8L6, Canada. .,Department of Obstetrics and Gynecology and Department of Biochemistry, Microbiology and Immunology (BMI), University of Ottawa, Ottawa, ON, Canada.
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21
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Ottolini CS, Rogers S, Sage K, Summers MC, Capalbo A, Griffin DK, Sarasa J, Wells D, Handyside AH. Karyomapping identifies second polar body DNA persisting to the blastocyst stage: implications for embryo biopsy. Reprod Biomed Online 2015; 31:776-82. [PMID: 26380865 DOI: 10.1016/j.rbmo.2015.07.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2015] [Revised: 07/04/2015] [Accepted: 07/07/2015] [Indexed: 10/23/2022]
Abstract
Blastocyst biopsy is now widely used for both preimplantation genetic screening (PGS) and preimplantation genetic diagnosis (PGD). Although this approach yields good results, variable embryo quality and rates of development remain a challenge. Here, a case is reported in which a blastocyst was biopsied for PGS by array comparative genomic hybridization on day 6 after insemination, having hatched completely. In addition to a small trophectoderm sample, excluded cell fragments from the subzonal space from this embryo were also sampled. Unexpectedly, the array comparative genomic hybridization results from the fragments and trophectoderm sample were non-concordant: 47,XX,+19 and 46,XY, respectively. DNA fingerprinting by short tandem repeat and amelogenin analysis confirmed the sex chromosome difference but seemed to show that the two samples were related but non-identical. Genome-wide single nucleotide polymorphism genotyping and karyomapping identified that the origin of the DNA amplified from the fragments was that of the second polar body corresponding to the oocyte from which the biopsied embryo developed. The fact that polar body DNA can persist to the blastocyst stage provides evidence that excluded cell fragments should not be used for diagnostic purposes and should be avoided when performing embryo biopsies as there is a risk of diagnostic errors.
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Affiliation(s)
- Christian S Ottolini
- The Bridge Centre, London SE1 9RY, UK; School of Biosciences, University of Kent, Canterbury CT2 7NJ, UK.
| | | | | | - Michael C Summers
- The Bridge Centre, London SE1 9RY, UK; School of Biosciences, University of Kent, Canterbury CT2 7NJ, UK
| | - Antonio Capalbo
- G.E.N.E.R.A., Centers for Reproductive Medicine, Marostica, Umbertide, Rome, Italy; GENETYX, Molecular Genetics Laboratory, Marostica, Italy
| | - Darren K Griffin
- School of Biosciences, University of Kent, Canterbury CT2 7NJ, UK
| | - Jonas Sarasa
- Reprogenetics UK, Institute of Reproductive Sciences, Oxford Business Park North, Oxford OX4 2HW, UK
| | - Dagan Wells
- Reprogenetics UK, Institute of Reproductive Sciences, Oxford Business Park North, Oxford OX4 2HW, UK; Nuffied Department of Obstetrics and Gynaecology, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, UK
| | - Alan H Handyside
- The Bridge Centre, London SE1 9RY, UK; School of Biosciences, University of Kent, Canterbury CT2 7NJ, UK; Illumina, Capital Park CPC4, Fulbourn, Cambridge CB21 5XE, UK; Institute of Integrative and Comparative Biology, University of Leeds, Leeds LS2 9JT, UK
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Altered levels of mitochondrial DNA are associated with female age, aneuploidy, and provide an independent measure of embryonic implantation potential. PLoS Genet 2015; 11:e1005241. [PMID: 26039092 PMCID: PMC4454688 DOI: 10.1371/journal.pgen.1005241] [Citation(s) in RCA: 216] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2014] [Accepted: 04/26/2015] [Indexed: 12/12/2022] Open
Abstract
Mitochondria play a vital role in embryo development. They are the principal site of energy production and have various other critical cellular functions. Despite the importance of this organelle, little is known about the extent of variation in mitochondrial DNA (mtDNA) between individual human embryos prior to implantation. This study investigated the biological and clinical relevance of the quantity of mtDNA in 379 embryos. These were examined via a combination of microarray comparative genomic hybridisation (aCGH), quantitative PCR and next generation sequencing (NGS), providing information on chromosomal status, amount of mtDNA, and presence of mutations in the mitochondrial genome. The quantity of mtDNA was significantly higher in embryos from older women (P=0.003). Additionally, mtDNA levels were elevated in aneuploid embryos, independent of age (P=0.025). Assessment of clinical outcomes after transfer of euploid embryos to the uterus revealed that blastocysts that successfully implanted tended to contain lower mtDNA quantities than those failing to implant (P=0.007). Importantly, an mtDNA quantity threshold was established, above which implantation was never observed. Subsequently, the predictive value of this threshold was confirmed in an independent blinded prospective study, indicating that abnormal mtDNA levels are present in 30% of non-implanting euploid embryos, but are not seen in embryos forming a viable pregnancy. NGS did not reveal any increase in mutation in blastocysts with elevated mtDNA levels. The results of this study suggest that increased mtDNA may be related to elevated metabolism and are associated with reduced viability, a possibility consistent with the ‘quiet embryo’ hypothesis. Importantly, the findings suggest a potential role for mitochondria in female reproductive aging and the genesis of aneuploidy. Of clinical significance, we propose that mtDNA content represents a novel biomarker with potential value for in vitro fertilisation (IVF) treatment, revealing chromosomally normal blastocysts incapable of producing a viable pregnancy. Mitochondria are small membrane-enclosed structures and are found inside the cells of the body. Mitochondria actively participate in cellular life, and their main function is to generate energy which is used by the cell. For this reason mitochondria are considered as the powerhouses of cells. Unlike other cellular organelles, mitochondria contain their own DNA (mtDNA). MtDNA carries important genetic information concerning cellular metabolism and the generation of energy. It has been suggested that mitochondria and mtDNA could be of significance during early embryo development. Our work confirms this hypothesis. Specifically, our findings implicate mitochondria and their genome in female reproductive aging and the generation of embryonic chromosome abnormalities. Importantly, we describe a direct relationship between mtDNA quantity and the potential of an embryo to successfully become a baby. We propose that assessment of mtDNA quantity could be a novel way of identifying embryos with the highest ability to lead to healthy pregnancies and live births.
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Increasing live birth rate by preimplantation genetic screening of pooled polar bodies using array comparative genomic hybridization. PLoS One 2015; 10:e0128317. [PMID: 26024488 PMCID: PMC4449032 DOI: 10.1371/journal.pone.0128317] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2015] [Accepted: 04/26/2015] [Indexed: 11/30/2022] Open
Abstract
Meiotic errors during oocyte maturation are considered the major contributors to embryonic aneuploidy and failures in human IVF treatment. Various technologies have been developed to screen polar bodies, blastomeres and trophectoderm cells for chromosomal aberrations. Array-CGH analysis using bacterial artificial chromosome (BAC) arrays is widely applied for preimplantation genetic diagnosis (PGD) using single cells. Recently, an increase in the pregnancy rate has been demonstrated using array-CGH to evaluate trophectoderm cells. However, in some countries, the analysis of embryonic cells is restricted by law. Therefore, we used BAC array-CGH to assess the impact of polar body analysis on the live birth rate. A disadvantage of polar body aneuploidy screening is the necessity of the analysis of both the first and second polar bodies, resulting in increases in costs for the patient and complex data interpretation. Aneuploidy screening results may sometimes be ambiguous if the first and second polar bodies show reciprocal chromosomal aberrations. To overcome this disadvantage, we tested a strategy involving the pooling of DNA from both polar bodies before DNA amplification. We retrospectively studied 351 patients, of whom 111 underwent polar body array-CGH before embryo transfer. In the group receiving pooled polar body array-CGH (aCGH) analysis, 110 embryos were transferred, and 29 babies were born, corresponding to live birth rates of 26.4% per embryo and 35.7% per patient. In contrast, in the control group, the IVF treatment was performed without preimplantation genetic screening (PGS). For this group, 403 embryos were transferred, and 60 babies were born, resulting in live birth rates of 14.9% per embryo and 22.7% per patient. In conclusion, our data show that in the aCGH group, the use of aneuploidy screening resulted in a significantly higher live birth rate compared with the control group, supporting the benefit of PGS for IVF couples in addition to the suitability and effectiveness of our polar body pooling strategy.
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Huang J, Zhao N, Wang X, Qiao J, Liu P. Chromosomal characteristics at cleavage and blastocyst stages from the same embryos. J Assist Reprod Genet 2015; 32:781-7. [PMID: 25701143 DOI: 10.1007/s10815-015-0450-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2014] [Accepted: 02/03/2015] [Indexed: 11/30/2022] Open
Abstract
PURPOSE To investigate chromosomal characteristics in the same embryos at cleavage and blastocyst stage. METHODS Six PGD/PGS cycles were retrospective studied, including five chromosomal translocation PGD cycles and one recurrent abortion PGS cycle. The cleavage embryos were biopsied one blastomere at day 3, followed by blastocyst culture. Trophectoderm cell biopsy was performed when embryos developed into the blastocyst stage. Whole genome amplification and 24-chromosomal analysis by CGH/SNP microarray was performed on each blastomere and trophectoderm cells. RESULTS After PGD/PGS, only one couple had no euploid embryos to transfer. Five couples delivered a healthy, balanced-karyotype baby. A total of 18 embryos had both blastomere and trophectoderm cell reliable results available. Of the 18 embryos, eleven embryos contained identical chromosomes from cleavage stage to blastocyst stage and six embryos contained almost identical chromosomes . Only one embryo presented opposite chromosomal results for the cleavage and blastocyst stage, with abnormal chromosomes in the blastomere but normal chromosomes in trophectoderm cells. CONCLUSIONS Most embryos maintain chromosomal stability during embryonic development. Compared to cleavage stage, blastocyst stage may provide more reliable aneuploidy results.
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Affiliation(s)
- Jin Huang
- Center of Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191, People's Republic of China
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Keefe D, Kumar M, Kalmbach K. Oocyte competency is the key to embryo potential. Fertil Steril 2015; 103:317-22. [DOI: 10.1016/j.fertnstert.2014.12.115] [Citation(s) in RCA: 97] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2014] [Revised: 12/15/2014] [Accepted: 12/16/2014] [Indexed: 12/25/2022]
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Tan Y, Yin X, Zhang S, Jiang H, Tan K, Li J, Xiong B, Gong F, Zhang C, Pan X, Chen F, Chen S, Gong C, Lu C, Luo K, Gu Y, Zhang X, Wang W, Xu X, Vajta G, Bolund L, Yang H, Lu G, Du Y, Lin G. Clinical outcome of preimplantation genetic diagnosis and screening using next generation sequencing. Gigascience 2014; 3:30. [PMID: 25685330 PMCID: PMC4326468 DOI: 10.1186/2047-217x-3-30] [Citation(s) in RCA: 83] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2014] [Accepted: 11/11/2014] [Indexed: 12/20/2022] Open
Abstract
Background Next generation sequencing (NGS) is now being used for detecting chromosomal abnormalities in blastocyst trophectoderm (TE) cells from in vitro fertilized embryos. However, few data are available regarding the clinical outcome, which provides vital reference for further application of the methodology. Here, we present a clinical evaluation of NGS-based preimplantation genetic diagnosis/screening (PGD/PGS) compared with single nucleotide polymorphism (SNP) array-based PGD/PGS as a control. Results A total of 395 couples participated. They were carriers of either translocation or inversion mutations, or were patients with recurrent miscarriage and/or advanced maternal age. A total of 1,512 blastocysts were biopsied on D5 after fertilization, with 1,058 blastocysts set aside for SNP array testing and 454 blastocysts for NGS testing. In the NGS cycles group, the implantation, clinical pregnancy and miscarriage rates were 52.6% (60/114), 61.3% (49/80) and 14.3% (7/49), respectively. In the SNP array cycles group, the implantation, clinical pregnancy and miscarriage rates were 47.6% (139/292), 56.7% (115/203) and 14.8% (17/115), respectively. The outcome measures of both the NGS and SNP array cycles were the same with insignificant differences. There were 150 blastocysts that underwent both NGS and SNP array analysis, of which seven blastocysts were found with inconsistent signals. All other signals obtained from NGS analysis were confirmed to be accurate by validation with qPCR. The relative copy number of mitochondrial DNA (mtDNA) for each blastocyst that underwent NGS testing was evaluated, and a significant difference was found between the copy number of mtDNA for the euploid and the chromosomally abnormal blastocysts. So far, out of 42 ongoing pregnancies, 24 babies were born in NGS cycles; all of these babies are healthy and free of any developmental problems. Conclusions This study provides the first evaluation of the clinical outcomes of NGS-based pre-implantation genetic diagnosis/screening, and shows the reliability of this method in a clinical and array-based laboratory setting. NGS provides an accurate approach to detect embryonic imbalanced segmental rearrangements, to avoid the potential risks of false signals from SNP array in this study. Electronic supplementary material The online version of this article (doi:10.1186/2047-217X-3-30) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Yueqiu Tan
- Institute of Reproductive and Stem Cell Engineering, Central South University, Changsha, China ; National Engineering and Research Center of Human Stem Cell, Changsha, China ; Reproductive & Genetic Hospital of CITIC Xiangya, Changsha, China
| | - Xuyang Yin
- BGI-Health, BGI-Shenzhen, Shenzhen, China ; Shenzhen Municipal Birth Defect Screening Project Lab, BGI-Shenzhen, Shenzhen, China ; Guangdong Enterprise Key Laboratory of Human Disease Genomics, BGI-Shenzhen, Shenzhen, China
| | - Shuoping Zhang
- Institute of Reproductive and Stem Cell Engineering, Central South University, Changsha, China ; Reproductive & Genetic Hospital of CITIC Xiangya, Changsha, China ; Key Laboratory of Stem Cell and Reproductive Engineering, Ministry of Health, Changsha, China
| | - Hui Jiang
- Shenzhen Municipal Birth Defect Screening Project Lab, BGI-Shenzhen, Shenzhen, China ; Guangdong Enterprise Key Laboratory of Human Disease Genomics, BGI-Shenzhen, Shenzhen, China ; Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Ke Tan
- Institute of Reproductive and Stem Cell Engineering, Central South University, Changsha, China ; National Engineering and Research Center of Human Stem Cell, Changsha, China
| | - Jian Li
- BGI-ShenZhen, ShenZhen, China
| | - Bo Xiong
- Reproductive & Genetic Hospital of CITIC Xiangya, Changsha, China
| | - Fei Gong
- Institute of Reproductive and Stem Cell Engineering, Central South University, Changsha, China ; Reproductive & Genetic Hospital of CITIC Xiangya, Changsha, China
| | - Chunlei Zhang
- Shenzhen Municipal Birth Defect Screening Project Lab, BGI-Shenzhen, Shenzhen, China ; Guangdong Enterprise Key Laboratory of Human Disease Genomics, BGI-Shenzhen, Shenzhen, China
| | - Xiaoyu Pan
- Shenzhen Municipal Birth Defect Screening Project Lab, BGI-Shenzhen, Shenzhen, China ; Guangdong Enterprise Key Laboratory of Human Disease Genomics, BGI-Shenzhen, Shenzhen, China ; School of Bioscience and Bioengineering, South China University of Technology, Guangzhou, China
| | - Fang Chen
- Shenzhen Municipal Birth Defect Screening Project Lab, BGI-Shenzhen, Shenzhen, China ; Guangdong Enterprise Key Laboratory of Human Disease Genomics, BGI-Shenzhen, Shenzhen, China ; Section of Molecular Disease Biology, Department of Veterinary Disease Biology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Shengpei Chen
- Shenzhen Municipal Birth Defect Screening Project Lab, BGI-Shenzhen, Shenzhen, China ; Guangdong Enterprise Key Laboratory of Human Disease Genomics, BGI-Shenzhen, Shenzhen, China ; State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | | | - Changfu Lu
- Institute of Reproductive and Stem Cell Engineering, Central South University, Changsha, China ; Reproductive & Genetic Hospital of CITIC Xiangya, Changsha, China
| | - Keli Luo
- Institute of Reproductive and Stem Cell Engineering, Central South University, Changsha, China ; Reproductive & Genetic Hospital of CITIC Xiangya, Changsha, China
| | - Yifan Gu
- Institute of Reproductive and Stem Cell Engineering, Central South University, Changsha, China ; Reproductive & Genetic Hospital of CITIC Xiangya, Changsha, China
| | - Xiuqing Zhang
- Guangdong Enterprise Key Laboratory of Human Disease Genomics, BGI-Shenzhen, Shenzhen, China
| | - Wei Wang
- BGI-Health, BGI-Shenzhen, Shenzhen, China ; Shenzhen Municipal Birth Defect Screening Project Lab, BGI-Shenzhen, Shenzhen, China
| | - Xun Xu
- BGI-ShenZhen, ShenZhen, China
| | - Gábor Vajta
- BGI-ShenZhen, ShenZhen, China ; Central Queensland University, Rockhampton, Queensland Australia
| | - Lars Bolund
- BGI-ShenZhen, ShenZhen, China ; Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Huanming Yang
- BGI-ShenZhen, ShenZhen, China ; Prince Aljawhra Center of Excellence in Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Saudi Arabia ; James D Watson Institute of Genome Science, Hangzhou, China
| | - Guangxiu Lu
- Institute of Reproductive and Stem Cell Engineering, Central South University, Changsha, China ; National Engineering and Research Center of Human Stem Cell, Changsha, China ; Reproductive & Genetic Hospital of CITIC Xiangya, Changsha, China ; Key Laboratory of Stem Cell and Reproductive Engineering, Ministry of Health, Changsha, China
| | - Yutao Du
- BGI-Health, BGI-Shenzhen, Shenzhen, China
| | - Ge Lin
- Institute of Reproductive and Stem Cell Engineering, Central South University, Changsha, China ; National Engineering and Research Center of Human Stem Cell, Changsha, China ; Reproductive & Genetic Hospital of CITIC Xiangya, Changsha, China ; Key Laboratory of Stem Cell and Reproductive Engineering, Ministry of Health, Changsha, China
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Wei Y, Zhang T, Wang YP, Schatten H, Sun QY. Polar bodies in assisted reproductive technology: current progress and future perspectives. Biol Reprod 2014; 92:19. [PMID: 25472922 DOI: 10.1095/biolreprod.114.125575] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
Abstract
During meiotic cell-cycle progression, unequal divisions take place, resulting in a large oocyte and two diminutive polar bodies. The first polar body contains a subset of bivalent chromosomes, whereas the second polar body contains a haploid set of chromatids. One unique feature of the female gamete is that the polar bodies can provide beneficial information about the genetic background of the oocyte without potentially destroying it. Therefore, polar body biopsies have been applied in preimplantation genetic diagnosis to detect chromosomal or genetic abnormalities that might be inherited by the offspring. Besides the traditional use in preimplantation diagnosis, recent findings suggest additional important roles for polar bodies in assisted reproductive technology. In this paper, we review the new roles of polar bodies in assisted reproductive technology, mainly focusing on single-cell sequencing of the polar body genome to deduce the genomic information of its sibling oocyte and on polar body transfer to prevent the transmission of mtDNA-associated diseases. We also discuss additional potential roles for polar bodies and related key questions in human reproductive health. We believe that further exploration of new roles for polar bodies will contribute to a better understanding of reproductive health and that polar body manipulation and diagnosis will allow production of a greater number of healthy babies.
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Affiliation(s)
- Yanchang Wei
- State Key Laboratory of Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Teng Zhang
- State Key Laboratory of Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Ya-Peng Wang
- State Key Laboratory of Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Heide Schatten
- Department of Veterinary Pathobiology, University of Missouri, Columbia, Missouri
| | - Qing-Yuan Sun
- State Key Laboratory of Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
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Shojaei Saadi HA, Vigneault C, Sargolzaei M, Gagné D, Fournier É, de Montera B, Chesnais J, Blondin P, Robert C. Impact of whole-genome amplification on the reliability of pre-transfer cattle embryo breeding value estimates. BMC Genomics 2014; 15:889. [PMID: 25305778 PMCID: PMC4201692 DOI: 10.1186/1471-2164-15-889] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2014] [Accepted: 10/03/2014] [Indexed: 01/21/2023] Open
Abstract
Background Genome-wide profiling of single-nucleotide polymorphisms is receiving increasing attention as a method of pre-implantation genetic diagnosis in humans and of commercial genotyping of pre-transfer embryos in cattle. However, the very small quantity of genomic DNA in biopsy material from early embryos poses daunting technical challenges. A reliable whole-genome amplification (WGA) procedure would greatly facilitate the procedure. Results Several PCR-based and non-PCR based WGA technologies, namely multiple displacement amplification, quasi-random primed library synthesis followed by PCR, ligation-mediated PCR, and single-primer isothermal amplification were tested in combination with different DNA extractions protocols for various quantities of genomic DNA inputs. The efficiency of each method was evaluated by comparing the genotypes obtained from 15 cultured cells (representative of an embryonic biopsy) to unamplified reference gDNA. The gDNA input, gDNA extraction method and amplification technology were all found to be critical for successful genome-wide genotyping. The selected WGA platform was then tested on embryo biopsies (n = 226), comparing their results to that of biopsies collected after birth. Although WGA inevitably leads to a random loss of information and to the introduction of erroneous genotypes, following genomic imputation the resulting genetic index of both sources of DNA were highly correlated (r = 0.99, P<0.001). Conclusion It is possible to generate high-quality DNA in sufficient quantities for successful genome-wide genotyping starting from an early embryo biopsy. However, imputation from parental and population genotypes is a requirement for completing and correcting genotypic data. Judicious selection of the WGA platform, careful handling of the samples and genomic imputation together, make it possible to perform extremely reliable genomic evaluations for pre-transfer embryos. Electronic supplementary material The online version of this article (doi:10.1186/1471-2164-15-889) contains supplementary material, which is available to authorized users.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Claude Robert
- Laboratory of Functional Genomics of Early Embryonic Development, Institut des nutraceutiques et des aliments fonctionnels, Faculté des sciences de l'agriculture et de l'alimentation, Pavillon des services, Université Laval, Québec G1V 0A6, Canada.
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Cohen J. Regulation of assisted reproduction in the USA--a just target or a target of unfair criticism? Reprod Biomed Online 2014; 29:397-8. [PMID: 25281989 DOI: 10.1016/j.rbmo.2014.08.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Huang J, Yan L, Fan W, Zhao N, Zhang Y, Tang F, Xie XS, Qiao J. Validation of multiple annealing and looping-based amplification cycle sequencing for 24-chromosome aneuploidy screening of cleavage-stage embryos. Fertil Steril 2014; 102:1685-91. [PMID: 25241375 DOI: 10.1016/j.fertnstert.2014.08.015] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2014] [Revised: 08/07/2014] [Accepted: 08/07/2014] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To validate multiple annealing and looping-based amplification cycle (MALBAC) sequencing for 24-chromosome aneuploidy screening of cleavage embryos and to explore the chromosomal characteristics of embryos at the cleavage stage. DESIGN The 24-chromosome aneuploidy analyses of the blastomeres included comparative genomic hybridization (CGH), single nucleotide polymorphism (SNP), and MALBAC sequencing. SETTING University-affiliated IVF center. PATIENT(S) Three couples who delivered babies from the same IVF cycle, which included 23 donated, frozen cleavage embryos. INTERVENTION(S) None. MAIN OUTCOME MEASURE(S) Three blastomeres were selected from each single embryo and subject to CGH, SNP, and MALBAC sequencing for 24-chromosome aneuploidy, respectively. The results of MALBAC sequencing were compared with the results of CGH and SNP. The chromosomal status and occurrence of the abnormal chromosomes were investigated. The relationship between the embryos' morphology and the euploid state was analyzed. RESULT(S) Among the 23 donated embryos, the MALBAC sequencing results of 18 (78.26%) embryos were identical to those of CGH or SNP, including 8 embryos that had identical results by all three techniques. In terms of euploidy, only 6 of these 23 embryos (26.09%) were diploid. Blastomere abnormality was observed in all autosomes and sex chromosomes. In addition, the frequency of abnormality was different for certain chromosomes. CONCLUSION(S) With sequencing at 0.04× genome depth, MALBAC sequencing has been validated as a satisfactory method for 24-chromosome aneuploidy screening. The proportion of abnormal chromosomes was high in cleavage-stage embryos, and any chromosome could be abnormal.
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Affiliation(s)
- Jin Huang
- Department of Obstetrics and Gynecology, Reproductive Medical Centre, Peking University Third Hospital, Beijing, People's Republic of China; Key Laboratory of Assisted Reproduction, Ministry of Education and Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, People's Republic of China
| | - Liying Yan
- Department of Obstetrics and Gynecology, Reproductive Medical Centre, Peking University Third Hospital, Beijing, People's Republic of China; Key Laboratory of Assisted Reproduction, Ministry of Education and Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, People's Republic of China
| | - Wei Fan
- Biodynamic Optical Imaging Center, College of Life Sciences, Peking University, Beijing, People's Republic of China
| | - Nan Zhao
- Department of Obstetrics and Gynecology, Reproductive Medical Centre, Peking University Third Hospital, Beijing, People's Republic of China
| | - Yan Zhang
- Department of Obstetrics and Gynecology, Reproductive Medical Centre, Peking University Third Hospital, Beijing, People's Republic of China; Key Laboratory of Assisted Reproduction, Ministry of Education and Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, People's Republic of China
| | - Fuchou Tang
- Biodynamic Optical Imaging Center, College of Life Sciences, Peking University, Beijing, People's Republic of China
| | - X Sunney Xie
- Biodynamic Optical Imaging Center, College of Life Sciences, Peking University, Beijing, People's Republic of China; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts
| | - Jie Qiao
- Department of Obstetrics and Gynecology, Reproductive Medical Centre, Peking University Third Hospital, Beijing, People's Republic of China; Key Laboratory of Assisted Reproduction, Ministry of Education and Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, People's Republic of China.
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Wang T, Sha H, Ji D, Zhang HL, Chen D, Cao Y, Zhu J. Polar body genome transfer for preventing the transmission of inherited mitochondrial diseases. Cell 2014; 157:1591-604. [PMID: 24949971 DOI: 10.1016/j.cell.2014.04.042] [Citation(s) in RCA: 108] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2014] [Revised: 03/11/2014] [Accepted: 04/17/2014] [Indexed: 10/25/2022]
Abstract
Inherited mtDNA diseases transmit maternally and cause severe phenotypes. Currently, there is no effective therapy or genetic screens for these diseases; however, nuclear genome transfer between patients' and healthy eggs to replace mutant mtDNAs holds promises. Considering that a polar body contains few mitochondria and shares the same genomic material as an oocyte, we perform polar body transfer to prevent the transmission of mtDNA variants. We compare the effects of different types of germline genome transfer, including spindle-chromosome transfer, pronuclear transfer, and first and second polar body transfer, in mice. Reconstructed embryos support normal fertilization and produce live offspring. Importantly, genetic analysis confirms that the F1 generation from polar body transfer possesses minimal donor mtDNA carryover compared to the F1 generation from other procedures. Moreover, the mtDNA genotype remains stable in F2 progeny after polar body transfer. Our preclinical model demonstrates polar body transfer has great potential to prevent inherited mtDNA diseases.
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Affiliation(s)
- Tian Wang
- State Key Laboratory of Medical Neurobiology, Department of Neurobiology, Institutes of Brain Science, School of Basic Medical Sciences and Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Hongying Sha
- State Key Laboratory of Medical Neurobiology, Department of Neurobiology, Institutes of Brain Science, School of Basic Medical Sciences and Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200032, China.
| | - Dongmei Ji
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, the First Hospital Affiliated for Anhui Medical University, Hefei 230022, China
| | - Helen L Zhang
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Dawei Chen
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, the First Hospital Affiliated for Anhui Medical University, Hefei 230022, China
| | - Yunxia Cao
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, the First Hospital Affiliated for Anhui Medical University, Hefei 230022, China
| | - Jianhong Zhu
- State Key Laboratory of Medical Neurobiology, Department of Neurobiology, Institutes of Brain Science, School of Basic Medical Sciences and Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200032, China.
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Salvaggio CN, Forman EJ, Garnsey HM, Treff NR, Scott RT. Polar body based aneuploidy screening is poorly predictive of embryo ploidy and reproductive potential. J Assist Reprod Genet 2014; 31:1221-6. [PMID: 25106935 PMCID: PMC4156943 DOI: 10.1007/s10815-014-0293-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2014] [Accepted: 07/02/2014] [Indexed: 11/24/2022] Open
Abstract
PURPOSE Polar body (polar body) biopsy represents one possible solution to performing comprehensive chromosome screening (CCS). This study adds to what is known about the predictive value of polar body based testing for the genetic status of the resulting embryo, but more importantly, provides the first evaluation of the predictive value for actual clinical outcomes after embryo transfer. METHODS SNP array was performed on first polar body, second polar body, and either a blastomere or trophectoderm biopsy, or the entire arrested embryo. Concordance of the polar body-based prediction with the observed diagnoses in the embryos was assessed. In addition, the predictive value of the polar body -based diagnosis for the specific clinical outcome of transferred embryos was evaluated through the use of DNA fingerprinting to track individual embryos. RESULTS There were 459 embryos analyzed from 96 patients with a mean maternal age of 35.3. The polar body-based predictive value for the embryo based diagnosis was 70.3%. The blastocyst implantation predictive value of a euploid trophectoderm was higher than from euploid polar bodies (51% versus 40%). The cleavage stage embryo implantation predictive value of a euploid blastomere was also higher than from euploid polar bodies (31% versus 22%). CONCLUSION Polar body based aneuploidy screening results were less predictive of actual clinical outcomes than direct embryo assessment and may not be adequate to improve sustained implantation rates. In nearly one-third of cases the polar body based analysis failed to predict the ploidy of the embryo. This imprecision may hinder efforts for polar body based CCS to improve IVF clinical outcomes.
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Affiliation(s)
- C. N. Salvaggio
- Division of Reproductive Endocrinology, Department of Obstetrics, Gynecology and Reproductive Sciences, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ 08901 USA
| | - E. J. Forman
- Division of Reproductive Endocrinology, Department of Obstetrics, Gynecology and Reproductive Sciences, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ 08901 USA
- Reproductive Medicine Associates of New Jersey, 140 Allen Road, Basking Ridge, NJ 07920 USA
| | - H. M. Garnsey
- Reproductive Medicine Associates of New Jersey, 140 Allen Road, Basking Ridge, NJ 07920 USA
| | - N. R. Treff
- Division of Reproductive Endocrinology, Department of Obstetrics, Gynecology and Reproductive Sciences, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ 08901 USA
- Reproductive Medicine Associates of New Jersey, 140 Allen Road, Basking Ridge, NJ 07920 USA
| | - R. T. Scott
- Division of Reproductive Endocrinology, Department of Obstetrics, Gynecology and Reproductive Sciences, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ 08901 USA
- Reproductive Medicine Associates of New Jersey, 140 Allen Road, Basking Ridge, NJ 07920 USA
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Detection of monogenic disorders and chromosome aberrations by preimplantation genetic diagnosis. Methods Mol Biol 2014; 1154:475-99. [PMID: 24782024 DOI: 10.1007/978-1-4939-0659-8_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2023]
Abstract
This chapter highlights the methodologies of single cell genetic diagnosis along with the strengths and weaknesses of existing techniques.
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New tools for embryo selection: comprehensive chromosome screening by array comparative genomic hybridization. BIOMED RESEARCH INTERNATIONAL 2014; 2014:517125. [PMID: 24877108 PMCID: PMC4022197 DOI: 10.1155/2014/517125] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/12/2014] [Accepted: 02/24/2014] [Indexed: 12/23/2022]
Abstract
The objective of this study was to evaluate the usefulness of comprehensive chromosome screening (CCS) using array comparative genomic hybridization (aCGH). The study included 1420 CCS cycles for recurrent miscarriage (n = 203); repetitive implantation failure (n = 188); severe male factor (n = 116); previous trisomic pregnancy (n = 33); and advanced maternal age (n = 880). CCS was performed in cycles with fresh oocytes and embryos (n = 774); mixed cycles with fresh and vitrified oocytes (n = 320); mixed cycles with fresh and vitrified day-2 embryos (n = 235); and mixed cycles with fresh and vitrified day-3 embryos (n = 91). Day-3 embryo biopsy was performed and analyzed by aCGH followed by day-5 embryo transfer. Consistent implantation (range: 40.5–54.2%) and pregnancy rates per transfer (range: 46.0–62.9%) were obtained for all the indications and independently of the origin of the oocytes or embryos. However, a lower delivery rate per cycle was achieved in women aged over 40 years (18.1%) due to the higher percentage of aneuploid embryos (85.3%) and lower number of cycles with at least one euploid embryo available per transfer (40.3%). We concluded that aneuploidy is one of the major factors which affect embryo implantation.
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Pacella-Ince L, Zander-Fox DL, Lan M. Mitochondrial SIRT3 and its target glutamate dehydrogenase are altered in follicular cells of women with reduced ovarian reserve or advanced maternal age. Hum Reprod 2014; 29:1490-9. [PMID: 24771001 DOI: 10.1093/humrep/deu071] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
STUDY QUESTION Is the activity of sirtuin 3 (SIRT3) altered in granulosa and cumulus cells from young women with reduced ovarian reserve or women of advanced maternal age? SUMMARY ANSWER SIRT3 mRNA and active protein in granulosa and cumulus cells were decreased in women with reduced ovarian reserve and advanced maternal age. WHAT IS KNOWN ALREADY Young women with reduced ovarian reserve or women of advanced maternal age have reduced oocyte viability, possibly due to altered granulosa and cumulus cell metabolism. The mitochondrial SIRT3 protein may be implicated in these processes as it is able to sense the metabolic state of the cell and alter mitochondrial protein function post-translationally. STUDY DESIGN, SIZE, DURATION This is a prospective cohort study, in which women (n = 72) undergoing routine IVF/ICSI were recruited and allocated to one of three cohorts based on age and ovarian reserve (as assessed by serum anti-Mullerian hormone level). Women were classified as young (≤35 years) or of advanced maternal age (≥40 years). PARTICIPANTS/MATERIALS, SETTING, METHODS Granulosa and cumulus cells were collected. SIRT3 mRNA and protein levels and protein activity was analysed in granulosa and cumulus cells via quantitative PCR, immunohistochemistry and western blotting, and deacetylation activity, respectively. Activity of the glutamate dehydrogenase (GDH) enzyme, a known target of SIRT3, was assessed, and acetylated proteins in mitochondria isolated from granulosa and cumulus cells were separated by immunoprecipitation and acetylation of GDH assessed by western blotting. Data for women with good prognosis (young women with normal ovarian reserve) were compared with those from young women with reduced ovarian reserve and those of advanced maternal age. MAIN RESULTS AND THE ROLE OF CHANCE SIRT3 mRNA and active protein were present in granulosa and cumulus cells and co-localized to the mitochondria. SIRT3 mRNA in granulosa cells was decreased in young women with reduced ovarian reserve and advanced maternal age versus young women with normal ovarian reserve (P < 0.05). SIRT3 mRNA in cumulus cells was decreased in women of advanced maternal age versus young women with normal ovarian reserve only (P < 0.05). Granulosa cell GDH activity was decreased in young women with reduced ovarian reserve and in women of advanced maternal age (P < 0.05), whereas cumulus cell GDH activity was reduced in the advanced maternal age group only (P < 0.05). The acetylation profile of GDH in mitochondria revealed increased acetylation of GDH in granulosa and cumulus cells from women of advanced maternal age (P < 0.05) while young women with reduced ovarian reserve had increased GDH acetylation in granulosa cells only (P < 0.05). LIMITATIONS, REASONS FOR CAUTION Although patients were allocated to groups based on maternal age and ovarian reserve and matched for BMI, other maternal factors may also alter the 'molecular health' of ovarian cells. WIDER IMPLICATIONS OF THE FINDINGS Our data suggest that SIRT3 post-translational modification of mitochondrial enzymes in human granulosa and cumulus cells may regulate GDH activity, thus altering the metabolic milieu surrounding the developing oocyte. Owing to the association between the decline in oocyte quality and pregnancy rates in women of advanced maternal age and the possible association with reduced ovarian reserve, knowledge of perturbed SIRT3 function in granulosa and cumulus cells may lead to novel therapies to improve mitochondrial metabolism in the oocyte and follicular cells in women undergoing IVF treatment. STUDY FUNDING/COMPETING INTEREST(S) No conflicts of interest to declare. Research was funded by an NHMRC project grant.
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Handyside AH. 24-chromosome copy number analysis: a comparison of available technologies. Fertil Steril 2013; 100:595-602. [DOI: 10.1016/j.fertnstert.2013.07.1965] [Citation(s) in RCA: 95] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2013] [Revised: 07/08/2013] [Accepted: 07/15/2013] [Indexed: 12/21/2022]
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Montag M, Köster M, Strowitzki T, Toth B. Polar body biopsy. Fertil Steril 2013; 100:603-7. [DOI: 10.1016/j.fertnstert.2013.05.053] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2013] [Revised: 05/23/2013] [Accepted: 05/31/2013] [Indexed: 11/15/2022]
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Fragouli E, Alfarawati S, Spath K, Jaroudi S, Sarasa J, Enciso M, Wells D. The origin and impact of embryonic aneuploidy. Hum Genet 2013; 132:1001-13. [PMID: 23620267 DOI: 10.1007/s00439-013-1309-0] [Citation(s) in RCA: 191] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2013] [Accepted: 04/11/2013] [Indexed: 10/26/2022]
Abstract
Despite the clinical importance of aneuploidy, surprisingly little is known concerning its impact during the earliest stages of human development. This study aimed to shed light on the genesis, progression, and survival of different types of chromosome anomaly from the fertilized oocyte through the final stage of preimplantation development (blastocyst). 2,204 oocytes and embryos were examined using comprehensive cytogenetic methodology. A diverse array of chromosome abnormalities was detected, including many forms never recorded later in development. Advancing female age was associated with dramatic increase in aneuploidy rate and complex chromosomal abnormalities. Anaphase lag and congression failure were found to be important malsegregation causing mechanisms in oogenesis and during the first few mitotic divisions. All abnormalities appeared to be tolerated until activation of the embryonic genome, after which some forms started to decline in frequency. However, many aneuploidies continued to have little impact, with affected embryos successfully reaching the blastocyst stage. Results from the direct analyses of female meiotic divisions and early embryonic stages suggest that chromosome errors present during preimplantation development have origins that are more varied than those seen in later pregnancy, raising the intriguing possibility that the source of aneuploidy might modulate impact on embryo viability. The results of this study also narrow the window of time for selection against aneuploid embryos, indicating that most survive until the blastocyst stage and, since they are not detected in clinical pregnancies, must be lost around the time of implantation or shortly thereafter.
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Affiliation(s)
- Elpida Fragouli
- Nuffield Department of Obstetrics and Gynaecology, University of Oxford, Oxford, UK.
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Capalbo A, Bono S, Spizzichino L, Biricik A, Baldi M, Colamaria S, Ubaldi FM, Rienzi L, Fiorentino F. Reply: Questions about the accuracy of polar body analysis for preimplantation genetic screening. Hum Reprod 2013; 28:1733-6. [DOI: 10.1093/humrep/det070] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Christopikou D, Handyside AH. Questions about the accuracy of polar body analysis for preimplantation genetic screening. Hum Reprod 2013; 28:1732-3. [DOI: 10.1093/humrep/det076] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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