ArticleBMC pregnancy and childbirth2024
Specific plasma microRNA profiles could be potential non-invasive biomarkers for biochemical pregnancy loss following embryo transfer.
Article in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Machine learning for predictive risk stratification in recurrent miscarriage: a systematic review.BMC medical informatics and decision making · 2026Pooled it
- Multi-omics biomarkers in endometrial receptivity: from mechanisms to clinical translation.Journal of translational medicine · 2026Review
- Downregulated miR-363-5p causes recurrent spontaneous abortion (RSA) by regulating the S100A1 expression.Journal of assisted reproduction and genetics · 2026Article
- Current progress and open challenges for applying artificial intelligence across thePatterns (New York, N.Y.) · 2025Review
- Noninvasive Biomarkers of Human Embryo Developmental Potential.International journal of molecular sciences · 2025Review
- Embryo-secreted microRNAs enable non-invasive assessment of chromosomal status and viability inFrontiers in cell and developmental biology · 2025Review
- Clinical Significance of Biochemical Pregnancy Loss in Recurrent Pregnancy Loss Patients: Insights From Euploid Embryo Transfers Minimizing Embryonic Bias.Reproductive medicine and biologyArticle
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12 authors.
Funding
Abstract
backgroundPlasma microRNAs act as biomarkers for predicting and diagnosing diseases. Reliable non-invasive biomarkers for biochemical pregnancy loss have not been established. We aim to analyze the dynamic microRNA profiles during the peri-implantation period and investigate if plasma microRNAs could be non-invasive biomarkers predicting BPL.
methodsIn this study, we collected plasma samples from patients undergoing embryo transfer (ET) on ET day (ET0), 11 days after ET (ET11), and 14 days after ET (ET14). Patients were divided into the NP (negative pregnancy), BPL (biochemical pregnancy loss), and CP (clinical pregnancy) groups according to serum hCG levels at day11~14 and ultrasound at day28~35 following ET. MicroRNA profiles at different time-points were detected by miRNA-sequencing. We analyzed plasma microRNA signatures for BPL at the peri-implantation stage, we characterized the dynamic microRNA changes during the implantation period, constructed a microRNA co-expression network, and established predictive models for BPL. Finally, the sequencing results were confirmed by Taqman RT-qPCR.
resultsBPL patients have distinct plasma microRNA profiles compared to CP patients at multiple time-points during the peri-implantation period. Machine learning models revealed that plasma microRNAs could predict BPL. RT-qPCR confirmed that miR-181a-2-3p, miR-9-5p, miR-150-3p, miR-150-5p, and miR-98-5p, miR-363-3p were significantly differentially expressed between patients with different reproductive outcomes.
conclusionOur study highlights the non-invasive value of plasma microRNAs in predicting BPL.
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