Evidence map›Paper›PMID 42443938›Full record

ArticleJournal of translational medicine2026

Non-linear impact of abnormal fertilization on sibling 2PN embryo development: a 107,527-embryo cohort study defining a novel clinical tipping point.

Ruolin Mao, Na Xu, Qiuyu Yu, Bo Zhang, Lei Jin, Wei Liu

Abstract read
In one paragraph

Article in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ruolin MaoReproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Na XuReproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Qiuyu YuReproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Bo ZhangReproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. bo.zhang@tjh.tjmu.edu.cn.
Lei JinReproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. leijintongjih@qq.com.
Wei LiuReproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. liuwei0707@tjh.tjmu.edu.cn.ORCID http://orcid.org/0009-0004-1430-4336

Funding

National Key Research and Development Program of China 2025YFC3508002-01National Natural Science Foundation of China 82501968
6 · The paper itself

Abstract

backgroundAbnormal fertilization is a frequent occurrence in in vitro fertilization (IVF) cycles, yet the impact of abnormally fertilized zygotes on their sibling normally fertilized (2PN) embryos remains a subject of ongoing debate. This study aimed to characterize the non-linear relationship between the abnormal fertilization rate (AFR) and sibling 2PN blastocyst developmental potential to identify a clinically actionable biomarker for oocyte cohort quality.

methodsWe conducted a large-scale retrospective cohort study analyzing 107,527 sibling 2PN-derived embryos from 13,167 conventional IVF cycles (March 2019-January 2023). AFR was defined as the proportion of non-2PN zygotes among all fertilized oocytes. Restricted cubic splines (RCS) were employed to explore potential non-linearity, and multivariable generalized estimating equation (GEE) models were used to assess the independent impact of AFR on blastocyst formation, adjusting for 22 clinical and embryological confounders while accounting for embryonic clustering.

resultsRCS analysis identified a critical biological tipping point at 25% AFR. Beyond this threshold, the odds of blastocyst formation for sibling 2PN embryos significantly declined (adjusted odds ratio (aOR) 0.933, 95% CI 0.883-0.986, P = 0.014). Subgroup analysis demonstrated that this developmental impairment was robustly preserved in patients with adequate ovarian reserve (AMH ≥ 1.2 ng/mL: aOR 0.934, P = 0.018) and standard oocyte yields (5-14 oocytes: aOR 0.913, P = 0.017). Conversely, the association was not statistically significant in ultra-high-yield cycles (≥ 15 oocytes) or diminished ovarian reserve (AMH < 1.2 ng/mL), which may be primarily attributed to the truncated sample sizes and diminished statistical power within these specific sub-cohorts.

conclusionsOur findings establish AFR as a sensitive, independent biomarker of oocyte cohort integrity. The identification of the 25% threshold provides a high-level evidence base for Day-1 risk stratification, personalized prognostic counseling, and optimized laboratory quality management. Integrating this tool into ART workflows can enhance the precision of clinical outcome expectations.

Indexed as

Embryonic DevelopmentFertilizationFertilization in VitroNonlinear DynamicsSiblingsAdultBlastocystCohort StudiesFemaleHumansOocytesZygoteAbnormal fertilizationBlastocyst formationGeneralized estimating equations (GEE)Oocyte cohort qualityThreshold effect

Identifiers

PMID42443938
PMCPMC13587302

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