ArticleGenes2022
Integrated Bioinformatics Analysis Reveals Novel miRNA as Biomarkers Associated with Preeclampsia.
Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 5 citations in OpenAlex.
- An Exploratory Study on Transcriptomic Profiling of Circulating miRNA Associated with Hub Genes in the Development of Polycystic Ovary Syndrome.Non-coding RNA · 2026Article
- Cell-free RNAs in maternal peripheral blood as potential biomarkers of preeclampsia: a review.Reproductive biology and endocrinology : RB&E · 2025Review
- Transcriptomics-based identification of lysine crotonylation-related biomarkers in pre-eclampsia.BMC pregnancy and childbirth · 2025Article
- Evaluation of lncRNAs as Potential Biomarkers for Diagnosis of Metastatic Triple-Negative Breast Cancer through Bioinformatics and Machine Learning.Iranian journal of biotechnology · 2024Article
- Cripto Is Targeted by miR-1a-3p in a Mouse Model of Heart Development.International journal of molecular sciences · 2023Article
- The Role of Placental Non-Coding RNAs in Adverse Pregnancy Outcomes.International journal of molecular sciences · 2023Review
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Preeclampsia is a leading cause of perinatal maternal-foetal mortality and morbidity. This study aims to identify the key microRNAs (miRNA) in preeclampsia and uncover their potential functions. We downloaded the miRNA expression profile of GSE119799 for plasma and GSE177049 for the placenta. Each dataset consisted of five patients (PE) and five controls (N). From a technical point of view, we analysed the counts per million (CPM) for both datasets, highlighting 358 miRNAs in common, 78 unique for plasma and 298 unique for placenta. At the same time, we performed an expression differential analysis (|logFC| ≥ 1|and FDR ≤ 0.05) to evaluate the biological impact of the miRNAs. This approach allowed us to highlight 321 miRNAs in common between plasma and placenta, within which four were upregulated in plasma. Furthermore, the same analysis revealed five miRNAs expressed exclusively in plasma; these were also upregulated. In conclusion, the in-depth bioinformatics analysis conducted during our study will allow us, on the one hand, to verify the targets of each of the nine identified miRNAs; on the other hand, to use them both as new non-invasive biomarkers and as therapeutic targets for the development of
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.