ArticleArchives of gynecology and obstetrics2025
Using proteomics and single-cell sequencing to analyze the pathogenesis of recurrent implantation failure associated with uterine natural killer cells.
Article in Archives of gynecology and obstetrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Multi-omics biomarkers in female fertility: from oocyte quality to endometrial receptivity and clinical translation.Biomarker research · 2026Review
- Endometrial receptivity failure in assisted reproduction: immune-cellular niches, mechanistic evidence, and translational boundaries.Frontiers in immunology · 2026Review
- Endometrial immune dysregulation shapes CD8Frontiers in immunology · 2026Article
- Spatial Distribution of Senescent Cells and Their Proximity to Immune Subsets in the Human Endometrium During the Implantation Window.Diagnostics (Basel, Switzerland) · 2025Article
- Tacrolimus Modulates Peripheral Blood NK Cell Subsets and IL-17/IL-10 Ratio in Women With Recurrent Implantation Failure.Reproductive medicine and biologyArticle
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Authors and funding
4 authors.
Funding
Abstract
problemRecurrent implantation failure (RIF) affects about 10% of infertility patients and may involve mid-luteal phase endometrial natural killer (NK) cells. The pathogenesis of NK cells in RIF remains unclear. METHOD OF STUDY: Our study integrated proteomics data from endometrial tissues of six RIF patients and six controls, with single-cell sequencing insights.
resultsOur proteomics analysis identified 1366 differentially expressed proteins (DEPs) between RIF and control groups, highlighting alterations in cellular processes, such as cytoplasmic translation and mRNA processing. Functional enrichment analysis revealed significant associations with pathways involved in amyotrophic lateral sclerosis and proteasomes. The DEPs were transformed into differentially expressed genes1 (DEGs1) by ID-transformation. 33 candidate genes were detected when ID-transformed 1210 DEGs1 were intersected with 752 DEGs2 from NK cells. After that, the proteomics sequencing data validation showed that the expression of AMPD3, H6PD, and PAK2 was consistent and significantly different from the GSE111974 dataset and classified as crucial genes. In addition, analysis of single-cell sequencing data annotated fibroblast-like stromal cells, NK cells, T cells, and endothelial cells, and these three essential genes showed that they were expressed in NK cells. Crossing the signaling pathways of key genes with those enriched for DEPs yielded the 'Escherichia coli infection' possibly associated with RIF. Finally, the transcription factor HR had a strong regulatory effect on the PAK2.
conclusionFinally, identifying three key genes (AMPD3, H6PD and PAK2) associated with RIF and the regulatory solid roles of HR and PAK2 provided a basis for understanding the molecular mechanism of RIF. Our findings may pave the way for developing targeted therapies to improve pregnancy outcomes in patients with RIF.
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