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Updated: May 5, 2026

Isolation of Primary Human Decidual Cells from the Fetal Membranes of Term Placentae
Published on: April 30, 2018
Comparative proteomics analysis of decidua reveals altered RNA processing and impaired ribosome function in recurrent
Katarina Davalieva1, Marija Terzikj1, Gjorgji Bozhinovski1
1Research Centre for Genetic Engineering and Biotechnology "Georgi D Efremov", Macedonian Academy of Sciences and Arts, 1000, Skopje, North Macedonia.
Introduction:
Factors contributing to recurrent pregnancy loss (RPL) in more than half of the cases are still unknown. The incidence and societal impact of this condition requires urgent elucidation of the mechanisms behind it, which could aid in significant improvement of clinical management.
Materials And Methods:
Using a highly efficient in-solution digestion method and label-free data-independent LC-MS/MS acquisition with ion mobility, we performed comparative proteomics analysis of the decidua tissues from 19 RPL patients and 10 controls. Differentially abundant proteins (DAPs) were compared and correlated with 3 publicly available transcriptomic datasets and the expression of selected biomarkers was tested by qPCR in decidua and chorionic villi from an extended cohort.
Results:
From 1952 proteins identified based on ≥2 peptides, the statistically significant difference in abundance (Anova p ≤ 0.05) and fold change ≥1.2 showed 85 proteins. Pathway analysis using Reactome, KEGG and Wiki pathways identified enrichment of "Signaling by ROBO receptors", "RNA degradation" and "Cytoplasmic Ribosomal Proteins". The correlation between protein and gene expression in decidua revealed that the down-regulated ribosomal proteins in our dataset (RPS15, RPS17, RPL27A, RPL35A and RPL18) showed the same regulation trend at the mRNA level, which was later confirmed for transcripts of RPS15 and RPL18 in our cohort.
Discussion:
Our data suggests that the potential causes of RPL from the maternal side could be associated with impaired RNA processing machinery. Furthermore, the list of DAPs in RPL opens future investigations in terms of screening novel gene variants predisposing to pregnancy failure and developing biomarkers for RPL risk.
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