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17 September 2024 Decoding recurrent pregnancy loss: insights from comparative proteomics studies
Katarina Davalieva, Damjan Kocarev, Dijana Plaseska-Karanfilska
Author Affiliations +
Abstract

Recurrent pregnancy loss represents a common disorder that affects up to 2% of the women aiming at childbirth with long-term consequences on family and society. Factors contributing to it in more than half of the cases are still unknown. Comparative proteomic analysis can provide new insights into the biological pathways underlining the pathogenesis of recurrent pregnancy loss. Until now, chorionic villi, decidua, placenta, endometrium, and maternal blood from women with recurrent pregnancy loss have been analyzed by comparative proteomics studies. In this review, we aimed to provide a critical evaluation of the published comparative studies of recurrent pregnancy loss on human samples, gathered by systematic literature search using PubMed and Google Scholar databases. We provide a detailed overview of the analyzed materials, proteomics platforms, proposed candidate biomarkers and altered pathways and processes linked with recurrent pregnancy loss. The top, most identified and validated biomarker candidates from all studies are discussed, followed by bioinformatics analysis of the available high-throughput data and presentation of common altered processes and pathways in recurrent pregnancy loss. Finally, future directions aimed at developing new and efficient therapeutic strategies are discussed as well.

Summary Sentence

This review describes the overall findings from comparative proteomics studies about the pathogenesis of recurrent pregnancy loss in terms of altered pathways, processes, and candidate biomarkers.

Graphical Abstract

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Katarina Davalieva, Damjan Kocarev, and Dijana Plaseska-Karanfilska "Decoding recurrent pregnancy loss: insights from comparative proteomics studies," Biology of Reproduction 112(1), 1-17, (17 September 2024). https://doi.org/10.1093/biolre/ioae134
Received: 24 June 2024; Accepted: 16 September 2024; Published: 17 September 2024
KEYWORDS
biomarker
proteomics
recurrent pregnancy loss
spontaneous abortion
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