Prediction model for day 3 embryo implantation potential based on metabolites in spent embryo culture medium
Abstract Background Metabolites in spent embryo culture medium correlate with the embryo’s viability. However, there is no widely accepted method using metabolite dada to predict successful implantation. We sought to combine metabolomic profiling of spent embryo culture medium and clinical variables...
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| Format: | Article |
| Language: | English |
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BMC
2023-06-01
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| Series: | BMC Pregnancy and Childbirth |
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| Online Access: | https://doi.org/10.1186/s12884-023-05666-7 |
| _version_ | 1797806425556123648 |
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| author | Rong Liang Sheng Nan Duan Min Fu Yu Nan Chen Ping Wang Yuan Fan Shihui Meng Xi Chen Cheng Shi |
| author_facet | Rong Liang Sheng Nan Duan Min Fu Yu Nan Chen Ping Wang Yuan Fan Shihui Meng Xi Chen Cheng Shi |
| author_sort | Rong Liang |
| collection | DOAJ |
| description | Abstract Background Metabolites in spent embryo culture medium correlate with the embryo’s viability. However, there is no widely accepted method using metabolite dada to predict successful implantation. We sought to combine metabolomic profiling of spent embryo culture medium and clinical variables to create an implantation prediction model as an adjunct to morphological screening of day 3 embryos. Methods This investigation was a prospective, nested case-control study. Forty-two day 3 embryos from 34 patients were transferred, and the spent embryo culture medium was collected. Twenty-two embryos implanted successfully, and the others failed. Metabolites in the medium relevant to implantation were detected and measured by Liquid Chromatography-Mass Spectrometry. Clinical signatures relevant to embryo implantation were subjected to univariate analysis to select candidates for a prediction model. Multivariate logistical regression of the clinical and metabolomic candidates was used to construct a prediction model for embryo implantation potential. Results The levels of 13 metabolites were significantly different between the successful and failed groups, among which five were most relevant and interpretable selected by Least Absolute Shrinkage and Selection Operator regression analysis. None of the clinical variables significantly affected day 3 embryo implantation. The most relevant and interpretable set of metabolites was used to construct a prediction model for day 3 embryo implantation potential with an accuracy of 0.88. Conclusions Day 3 embryos’implantation potential could be noninvasively predicted by the spent embryo culture medium’s metabolites measured by LC-MS. This approach may become a useful adjunct to morphological evaluation of day 3 embryos. |
| first_indexed | 2024-03-13T06:07:07Z |
| format | Article |
| id | doaj.art-3636b495d6094adfbb474fe5062f0c48 |
| institution | Directory Open Access Journal |
| issn | 1471-2393 |
| language | English |
| last_indexed | 2024-03-13T06:07:07Z |
| publishDate | 2023-06-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Pregnancy and Childbirth |
| spelling | doaj.art-3636b495d6094adfbb474fe5062f0c482023-06-11T11:28:03ZengBMCBMC Pregnancy and Childbirth1471-23932023-06-012311910.1186/s12884-023-05666-7Prediction model for day 3 embryo implantation potential based on metabolites in spent embryo culture mediumRong Liang0Sheng Nan Duan1Min Fu2Yu Nan Chen3Ping Wang4Yuan Fan5Shihui Meng6Xi Chen7Cheng Shi8Reproductive Medical Center, Department of Obstetrics and Gynecology, Peking University People’s Hospital, Peking UniversityReproductive Medical Center, Department of Obstetrics and Gynecology, Peking University People’s Hospital, Peking UniversityReproductive Medical Center, Department of Obstetrics and Gynecology, Peking University People’s Hospital, Peking UniversityBeijing National Laboratory for Molecular Sciences (BNLMS), MOE Key Laboratory of Bioorganic Chemistry and Molecular Engineering, College of Chemistry and Molecular Engineering, Peking UniversityReproductive Medical Center, Department of Obstetrics and Gynecology, Peking University People’s Hospital, Peking UniversityReproductive Medical Center, Department of Obstetrics and Gynecology, Peking University People’s Hospital, Peking UniversityReproductive Medical Center, Department of Obstetrics and Gynecology, Peking University People’s Hospital, Peking UniversityReproductive Medical Center, Department of Obstetrics and Gynecology, Peking University People’s Hospital, Peking UniversityReproductive Medical Center, Department of Obstetrics and Gynecology, Peking University People’s Hospital, Peking UniversityAbstract Background Metabolites in spent embryo culture medium correlate with the embryo’s viability. However, there is no widely accepted method using metabolite dada to predict successful implantation. We sought to combine metabolomic profiling of spent embryo culture medium and clinical variables to create an implantation prediction model as an adjunct to morphological screening of day 3 embryos. Methods This investigation was a prospective, nested case-control study. Forty-two day 3 embryos from 34 patients were transferred, and the spent embryo culture medium was collected. Twenty-two embryos implanted successfully, and the others failed. Metabolites in the medium relevant to implantation were detected and measured by Liquid Chromatography-Mass Spectrometry. Clinical signatures relevant to embryo implantation were subjected to univariate analysis to select candidates for a prediction model. Multivariate logistical regression of the clinical and metabolomic candidates was used to construct a prediction model for embryo implantation potential. Results The levels of 13 metabolites were significantly different between the successful and failed groups, among which five were most relevant and interpretable selected by Least Absolute Shrinkage and Selection Operator regression analysis. None of the clinical variables significantly affected day 3 embryo implantation. The most relevant and interpretable set of metabolites was used to construct a prediction model for day 3 embryo implantation potential with an accuracy of 0.88. Conclusions Day 3 embryos’implantation potential could be noninvasively predicted by the spent embryo culture medium’s metabolites measured by LC-MS. This approach may become a useful adjunct to morphological evaluation of day 3 embryos.https://doi.org/10.1186/s12884-023-05666-7MetabolomicsSpent embryo culture mediumHuman day 3 embryosImplantation predictionLC-MS |
| spellingShingle | Rong Liang Sheng Nan Duan Min Fu Yu Nan Chen Ping Wang Yuan Fan Shihui Meng Xi Chen Cheng Shi Prediction model for day 3 embryo implantation potential based on metabolites in spent embryo culture medium BMC Pregnancy and Childbirth Metabolomics Spent embryo culture medium Human day 3 embryos Implantation prediction LC-MS |
| title | Prediction model for day 3 embryo implantation potential based on metabolites in spent embryo culture medium |
| title_full | Prediction model for day 3 embryo implantation potential based on metabolites in spent embryo culture medium |
| title_fullStr | Prediction model for day 3 embryo implantation potential based on metabolites in spent embryo culture medium |
| title_full_unstemmed | Prediction model for day 3 embryo implantation potential based on metabolites in spent embryo culture medium |
| title_short | Prediction model for day 3 embryo implantation potential based on metabolites in spent embryo culture medium |
| title_sort | prediction model for day 3 embryo implantation potential based on metabolites in spent embryo culture medium |
| topic | Metabolomics Spent embryo culture medium Human day 3 embryos Implantation prediction LC-MS |
| url | https://doi.org/10.1186/s12884-023-05666-7 |
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