ArticlePlacenta2013
Differentially expressed microRNAs and affected biological pathways revealed by modulated modularity clustering (MMC) analysis of human preeclamptic and IUGR placentas.
Article in Placenta, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 5 of them syntheses that pooled it.
What it found
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Who cites it
46 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Changes in microRNA expression associated with preeclampsia: a systematic review.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2025Pooled it
- microRNA signatures associated with fetal growth restriction: a systematic review.European journal of clinical nutrition · 2022Pooled it
- Current approaches and developments in transcript profiling of the human placenta.Human reproduction update · 2020Pooled it
- Systematic Review of Micro-RNA Expression in Pre-Eclampsia Identifies a Number of Common Pathways Associated with the Disease.PloS one · 2016Pooled it
- Integrative transcriptome meta-analysis reveals widespread sex-biased gene expression at the human fetal-maternal interface.Molecular human reproduction · 2014Pooled it
- Maternal plasma miRNAs as biomarkers during mid-pregnancy to predict later spontaneous preterm birth: a pilot study.Scientific reports · 2017Trial
- MicroRNA-Mediated Placental Maladaptation in Preeclampsia Pathogenesis.FASEB bioAdvances · 2026Review
- CPMOAD: comprehensive preeclampsia multi-omics analysis database.Journal of translational medicine · 2025Article
- HSD17B1-mediated trophoblast differentiation lowers estrogen levels in early-onset preeclampsia.Scientific reports · 2025Article
- Comparative study of the effects of baicalin and probenecid on microRNA expression profiles in porcine aortic vascular endothelial cells infected by Glaesserella parasuis.BMC veterinary research · 2025Article
- To boldly go where no microRNAs have gone before: spaceflight impact on risk for small-for-gestational-age infants.Communications biology · 2024Article
- Maternal Plasma miRNAs as Early Biomarkers of Moderate-to-Late-Preterm Birth.International journal of molecular sciences · 2024Article
- Construction of a pathway-level model for preeclampsia based on gene expression data.Hypertension research : official journal of the Japanese Society of Hypertension · 2024Article
- Diagnostic signature composed of seven genes in HIF-1 signaling pathway for preeclampsia.BMC pregnancy and childbirth · 2023Article
- Inhibition of the ATAmerican journal of physiology. Regulatory, integrative and comparative physiology · 2022Article
- Article
- Proteoglycans: Systems-Level Insight into Their Expression in Healthy and Diseased Placentas.International journal of molecular sciences · 2022Review
- Placental expression of miR-21-5p, miR-210-3p and miR-141-3p: relation to human fetoplacental growth.European journal of clinical nutrition · 2022Article
- miR-1227-3p participates in the development of fetal growth restriction via regulating trophoblast cell proliferation and apoptosis.Scientific reports · 2022Article
- Identification and Validation of a Five-Gene Diagnostic Signature for Preeclampsia.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
introductionThis study focuses on the implementation of modulated modularity clustering (MMC) a new cluster algorithm for the identification of molecular signatures of preeclampsia and intrauterine growth restriction (IUGR), and the identification of affected microRNAs
methodsEighty-six human placentas from normal (40), growth-restricted (27), and preeclamptic (19) term pregnancies were profiled using Illumina Human-6 Beadarrays. MMC was utilized to generate modules based on similarities in placental transcriptome. Gene Set Enrichment Analysis (GSEA) was used to predict affected microRNAs. Expression levels of these candidate microRNAs were investigated in seventy-one human term placentas as follows: control (29); IUGR (26); and preeclampsia (16).
resultsMMC identified two modules, one representing IUGR placentas and one representing preeclamptic placentas. 326 differentially expressed genes in the module representing IUGR and 889 differentially expressed genes in a module representing preeclampsia were identified. Functional analysis of molecular signatures associated with IUGR identified P13K/AKT, mTOR, p70S6K, apoptosis and IGF-1 signaling as being affected. Analysis of variance of GSEA-predicted microRNAs indicated that miR-194 was significantly down-regulated both in preeclampsia (p = 0.0001) and IUGR (p = 0.0304), and miR-149 was significantly down-regulated in preeclampsia (p = 0.0168). DISCUSSION: Implementation of MMC, allowed identification of genes disregulated in IUGR and preeclampsia. The reliability of MMC was validated by comparing to previous linear modeling analysis of preeclamptic placentas.
conclusionMMC allowed the elucidation of a molecular signature associated with preeclampsia and a subset of IUGR samples. This allowed the identification of genes, pathways, and microRNAs affected in these diseases.
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