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Chen R, Tang N, Du H, Yao Y, Zou Y, Wang J, Zhao D, Zhou X, Luo Y, Li L, Mao Y. Clinical application of noninvasive chromosomal screening for elective single-blastocyst transfer in frozen-thawed cycles. J Transl Med 2022; 20:553. [PMID: 36463184 PMCID: PMC9719190 DOI: 10.1186/s12967-022-03640-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 09/14/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND The objective of this study was to explore the clinical application of noninvasive chromosomal screening (NICS) for elective single-blastocyst transfer (eSBT) in frozen-thawed cycles. METHODS This study retrospectively analysed the data of 212 frozen-thawed single-blastocyst transfers performed in our centre from January 2019 to July 2019. The frozen embryos were selected based on morphological grades and placed in preincubation for 6 h after warming. Then spent microdroplet culture media of frozen-thawed blastocysts were harvested and subjected to NICS. The clinical outcomes were evaluated and further stratified analysis were performed, especially different fertilization approaches. RESULTS The clinical pregnancy, ongoing pregnancy, and live birth rates in the euploidy group were significantly higher than those in the aneuploidy group (56.2% versus 29.4%) but were nonsignificantly different from those in the chaotic abnormal/NA embryos group (56.2% versus 60.4%). Compared with day6 (D6) blastocysts, D5 blastocysts had a nonsignificantly different euploidy rate (40.4% versus 48.1%, P = 0.320) but significantly increased clinical pregnancy (57.7% versus 22.2%, P < 0.001), ongoing pregnancy (48.1% versus 14.8%, P < 0.001), and live birth rates (48.1% versus 13.0%, P < 0.001). The percentage of chaotic abnormal/NA embryos group was significantly higher among D5 embryos than among D6 embryos (30.1% versus 11.1%, P = 0.006). The percentage of aneuploid embryos was higher among the embryos with lower morphological quality(21.5% among 'good' embryos versus 34.6% among 'fair' embryos versus 46.0% among 'poor' embryos, P = 0.013); correspondingly, the overall clinical pregnancy, ongoing pregnancy and live birth rate rates showed similar declines. CONCLUSIONS NICS combined with morphological assessment is an effective tool to guide frozen-thawed SBT. The optimal embryo for SBT is a 'euploid embryo with good morphology', followed sequentially by a 'chaotic abnormal/NA embryo with good morphology', 'euploid embryo with fair morphology', and 'chaotic abnormal/NA embryo with fair morphology'.
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Affiliation(s)
- Rui Chen
- grid.417009.b0000 0004 1758 4591Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China ,grid.417009.b0000 0004 1758 4591Key Laboratory for Reproductive Medicine of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ni Tang
- grid.417009.b0000 0004 1758 4591Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China ,grid.417009.b0000 0004 1758 4591Key Laboratory for Reproductive Medicine of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Hongzi Du
- grid.417009.b0000 0004 1758 4591Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China ,grid.417009.b0000 0004 1758 4591Key Laboratory for Reproductive Medicine of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yaxin Yao
- Department of Clinical Research, Yikon Genomics Company, Ltd, Suzhou, 215000 China
| | - Yangyun Zou
- Department of Clinical Research, Yikon Genomics Company, Ltd, Suzhou, 215000 China
| | - Jing Wang
- Department of Clinical Research, Yikon Genomics Company, Ltd, Suzhou, 215000 China
| | - Dunmei Zhao
- Department of Clinical Research, Yikon Genomics Company, Ltd, Suzhou, 215000 China
| | - Xueliang Zhou
- grid.417009.b0000 0004 1758 4591Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China ,grid.417009.b0000 0004 1758 4591Key Laboratory for Reproductive Medicine of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yang Luo
- grid.417009.b0000 0004 1758 4591Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China ,grid.417009.b0000 0004 1758 4591Key Laboratory for Reproductive Medicine of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Lei Li
- grid.417009.b0000 0004 1758 4591Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China ,grid.417009.b0000 0004 1758 4591Key Laboratory for Reproductive Medicine of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuling Mao
- grid.417009.b0000 0004 1758 4591Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China ,grid.417009.b0000 0004 1758 4591Key Laboratory for Reproductive Medicine of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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Wang X, Liu Y, Liu H, Pan W, Ren J, Zheng X, Tan Y, Chen Z, Deng Y, He N, Chen H, Li S. Recent advances and application of whole genome amplification in molecular diagnosis and medicine. MedComm (Beijing) 2022; 3:e116. [PMID: 35281794 PMCID: PMC8906466 DOI: 10.1002/mco2.116] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 01/11/2022] [Accepted: 01/12/2022] [Indexed: 11/30/2022] Open
Abstract
Whole genome amplification (WGA) is a technology for non-selective amplification of the whole genome sequence, first appearing in 1992. Its primary purpose is to amplify and reflect the whole genome of trace tissues and single cells without sequence bias and to provide sufficient DNA template for subsequent multigene and multilocus analysis, along with comprehensive genome research. WGA provides a method to obtain a large amount of genetic information from a small amount of DNA and provides a valuable tool for preserving limited samples in molecular biology. WGA technology is especially suitable for forensic identification and genetic disease research, along with new technologies such as next-generation sequencing (NGS). In addition, WGA is also widely used in single-cell sequencing. Due to the small amount of DNA in a single cell, it is often unable to meet the amount of samples needed for sequencing, so WGA is generally used to achieve the amplification of trace samples. This paper reviews WGA methods based on different principles, summarizes both amplification principle and amplification quality, and discusses the application prospects and challenges of WGA technology in molecular diagnosis and medicine.
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Affiliation(s)
- Xiaoyu Wang
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Yapeng Liu
- School of Early‐Childhood Education, Nanjing Xiaozhuang UniversityNanjingChina
| | - Hongna Liu
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Wenjing Pan
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Jie Ren
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Xiangming Zheng
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Yimin Tan
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Zhu Chen
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Yan Deng
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Nongyue He
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
- State Key Laboratory of BioelectronicsSoutheast UniversityNanjingChina
| | - Hui Chen
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Song Li
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
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