ArticleAmerican journal of translational research2021
Circulating microRNAs from serum exosomes as potential biomarkers in patients with spontaneous abortion.
Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 11 citations in OpenAlex.
- EV-microRNA signatures in pregnant women with idiopathic recurrent pregnancy loss: deciphering microRNAome pathway networks at feto-maternal interface.Frontiers in immunology · 2025Article
- Biomarkers and diagnostic significance of non-coding RNAs in extracellular vesicles of pathologic pregnancy.Journal of assisted reproduction and genetics · 2024Review
- Value of Non-Coding RNA Expression in Biofluids to Identify Patients at Low Risk of Pathologies Associated with Pregnancy.Diagnostics (Basel, Switzerland) · 2024Review
- Circulating extracellular vesicles in healthy and pathological pregnancies: A scoping review of methodology, rigour and results.Journal of extracellular vesicles · 2023Article
- The role of miRNA molecules in the miscarriage process.Biology of reproduction · 2023Article
- Maternal circulating exosomal miR-185-5p levels as a predictive biomarker in patients with recurrent pregnancy loss.Journal of assisted reproduction and genetics · 2023Article
- T Cell Subsets and the Expression of Related MicroRNAs in Patients with Recurrent Early Pregnancy Loss.Mediators of inflammation · 2023Article
- Non-Coding RNAs Regulate Spontaneous Abortion: A Global Network and System Perspective.International journal of molecular sciences · 2022Review
- Molecular subtype identification and predictive power of N6-methyladenosine regulator in unexplained recurrent pregnancy loss.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSpontaneous abortion (SA) is a common complication in early pregnancy. Nevertheless, SA's etiology is complex, and the underlying molecular mechanisms of the pathogenesis behind SA remains unclear. The present study aims to find the feasibility of using serum exosomal miRNAs as novel biomarkers for SA.
methodsIn our study, we isolated the serum exosomes from the peripheral blood of the subjects. Then transmission electron microscopy (TEM), WB, and in vitro exosome tracing experiments were used. Comprehensive exosomal miRNA sequencing was performed to profile the differentially expressed miRNAs between the SA and normal pregnancy groups. Furthermore, genes targeted by miRNAs were further predicted and verified by TargetScan, miRDB, miRTarBase, miRWalk and HMDD V3.2. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and pathway category were performed by the DIANA-miRPath v3.0 online tool. We then validated the expression levels of selected miRNAs by qRT-PCR. ROC analysis was performed to explore the clinical utility of the two miRNA as biomarkers for SA.
resultsTEM, NTA measurements and WB analysis showed the successful isolation of exosomes. Exosome labeling by PKH26 proved that exosomes could be efficiently taken up by primary decidual cells. Sequencing data found that with a total of 2,588, there were 189 significantly expressed exosomal miRNAs between the two groups. The most significantly expressed miRNA (miR-371a-5p, miR-206, miR-147b, miR-6859-5p, miR-410-3p, miR-1270 and miR-524-5p) were selected for further analysis. Through KEGG pathway analysis and pathway category, nine risk pathways were revealed. Among them, the Wnt signaling pathway, the Hippo signaling pathway, and the FoxO signaling pathway were pinpointed as major high-risk pathways. As a single marker, miR-371a-5p and miR-206 had a specificity of 83.3% and 70.8% at the sensitivity of 62.5% and 66.7%, respectively. The combined two markers achieved a specificity of 75% at the sensitivity of 79.2%.
conclusionsOur results suggest that the circulating miRNAs from exosomes are altered in patients with SA. Findings of this exploratory study may provide potential biomarkers for SA.
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34150008PMC8205814W3176210362What OpenQuestion holds
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