2020
DOI: 10.1097/md.0000000000022985
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Bioinformatics-based identification of miRNA-, lncRNA-, and mRNA-associated ceRNA networks and potential biomarkers for preeclampsia

Abstract: This study aimed to identify significantly altered long non-coding RNAs (lncRNAs), microRNAs (miRNAs), mRNAs, pathways in preeclampsia (PE), and to investigate their targeted relationships and biological functions. GSE96985 from Gene Expression Omnibus database was extracted, involving 3 PE and 4 normal tissues. After the differential expression analysis of miRNAs, lncRNAs, and mRNAs using the limma package, protein-protein interaction (PPI) network and module analyses were performed for differentia… Show more

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Cited by 14 publications
(14 citation statements)
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“…Similar studies mostly focused on the globally differential expression genes between PE and normal pregnancies and then constructed ceRNA networks based on these genes. By performing bioinformatics strategies such as GSEA, WGCNA, and ceRNA network analysis, many genes and pathways most likely related to the pathophysiology of PE were identified [34][35][36][37][38]. However, there is a lack of research focused on ceRNAs that are closely connected with important pathways, from which the related genes most likely to emerge.…”
Section: Introductionmentioning
confidence: 99%
“…Similar studies mostly focused on the globally differential expression genes between PE and normal pregnancies and then constructed ceRNA networks based on these genes. By performing bioinformatics strategies such as GSEA, WGCNA, and ceRNA network analysis, many genes and pathways most likely related to the pathophysiology of PE were identified [34][35][36][37][38]. However, there is a lack of research focused on ceRNAs that are closely connected with important pathways, from which the related genes most likely to emerge.…”
Section: Introductionmentioning
confidence: 99%
“…Indeed, reduced placental expression of LGALS13 (Galectin 13), a member of the glycan-binding proteins that regulate innate and adaptive immune responses, was found in women with preeclampsia ( Than et al, 2014 ). Similarly, the expression of SDC1, NPPB (natriuretic peptide B), GDF15 (growth differentiation factor 15), and ADAMTS6 (ADAM metallopeptidase with thrombospondin type 1 motif 6) all had a lower expression in our experimental exposures, and all are lower in preeclampsia ( Junus et al, 2014 ; Chen et al, 2016 ; Gandley et al, 2016 ; Jiang et al, 2020 ). In contrast, our data are inconsistent with respect to the expression of PAPPA2, a regulator of trophoblast invasion and migration, or MNDA (myeloid cell nuclear differentiation antigen), which exhibited a lower expression level in our paradigms but is elevated in placentas from women with preeclampsia ( Wagner et al, 2011 ; Kolialexi et al, 2017 ; Neuman et al, 2020 ).…”
Section: Discussionmentioning
confidence: 54%
“…A high level of maternal serum C3 in the first trimester is associated with an increased risk of preterm birth, which can be used for the early diagnosis and prognosis of preterm birth in pregnant women (49). C3 is implicated in the development of preeclampsia through bioinformatics-based identification (50). The serum concentration of C3 is elevated in women with preeclampsia compared with normal pregnant women (51).…”
Section: Discussionmentioning
confidence: 99%