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Normalized Mitochondrial DNA Copy Number Can Optimize Pregnancy Outcome Prediction in IVF

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单位: [1]Huazhong Univ Sci & Technol, Reprod Med Ctr, Tongji Hosp, Tongji Med Coll, Wuhan 430030, Peoples R China
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关键词: Assisted reproductive technology Mitochondrial DNA copy number Box-Cox transformation Machine learning Pregnancy outcome prediction

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The aim of this study is to explore the relationship between mitochondrial DNA (mtDNA) copy number and embryo implantation potential in in vitro fertilization (IVF). A retrospective study of 319 blastocysts from patients undergoing preimplantation genetic testing (PGT) at Reproductive Medicine Center in Tongji Hospital from January 2016 to February 2018 was conducted. We used multiple annealing- and looping-based amplification cycles (MALBAC) technology to amplify the genetic materials from the trophectoderm cells of blastocysts, and next-generation sequencing (NGS) technology to test mitochondrial DNA copy number. Box-Cox transformation was introduced to eliminate the skewness distribution of mtDNA copy number, and the transformed data were defined as adjusted mtDNA. Subsequently, associations between adjusted mtDNA and the clinical characteristics of patients were assessed by univariate analysis and multiple linear regression. In addition, Gaussian Naive Bayes classifier was also used to predict pregnancy outcomes. We observed that only antral follicle count (AFC) was significantly associated with adjusted mtDNA without the influence of multicollinearity. What's more, the distribution of the adjusted mtDNA of blastocysts resulting in live birth was more concentrated than that of others. The area under the curve (AUC) of the prediction model that combined adjusted mtDNA with other clinical characteristics of patients was up to 0.81, higher than that excluded adjusted mtDNA. Among patient clinical characteristics, AFC was significantly associated with adjusted mtDNA. Mitochondrial DNA copy number may help to optimize the pregnancy outcome prediction in IVF.

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出版当年[2020]版:
大类 | 3 区 医学
小类 | 3 区 妇产科学 4 区 生殖生物学
最新[2025]版:
大类 | 4 区 医学
小类 | 4 区 妇产科学 4 区 生殖生物学
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出版当年[2019]版:
Q2 OBSTETRICS & GYNECOLOGY Q3 REPRODUCTIVE BIOLOGY
最新[2023]版:
Q2 OBSTETRICS & GYNECOLOGY Q2 REPRODUCTIVE BIOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2019版] 出版当年五年平均 出版前一年[2018版] 出版后一年[2020版]

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第一作者单位: [1]Huazhong Univ Sci & Technol, Reprod Med Ctr, Tongji Hosp, Tongji Med Coll, Wuhan 430030, Peoples R China
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