SynthesisPloS one2016
Comparison of Normal and Pre-Eclamptic Placental Gene Expression: A Systematic Review with Meta-Analysis.
Synthesis in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
44 citing papers in PubMed, 2 syntheses or guidelines pooled it, 80 citations in OpenAlex.
- Current approaches and developments in transcript profiling of the human placenta.Human reproduction update · 2020Pooled it
- A review of omics approaches to study preeclampsia.Placenta · 2020Pooled it
- Unveiling preeclampsia: diagnostic value and potential molecular mechanisms of abnormally methylated immune-related genes.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2026Article
- Antimicrobial proteins and peptides in pregnancy: Guardians of the maternal-fetal frontier.Frontiers in immunology · 2026Review
- Maternal and Fetal SERPINA3 Polymorphisms and Risk of Preeclampsia: A Dyad and Triad Based Case-Control Study.Current issues in molecular biology · 2025Article
- Investigating the Role of Coenzyme A Restriction in the Pathophysiology of Preeclampsia: Protocol for a Combined Patient Screening and Laboratory Study.JMIR research protocols · 2025Article
- Identification of Biomarkers and Mechanisms Associated with Apoptosis in Recurrent Pregnancy Loss.Biochemical genetics · 2025Article
- Identification of M1 macrophage infiltration-related genes for immunotherapy in Her2-positive breast cancer based on bioinformatics analysis and machine learning.Scientific reports · 2025Article
- Article
- iPSC-based modeling of preeclampsia identifies epigenetic defects in extravillous trophoblast differentiation.iScience · 2024Article
- High placental expression of FLT1, LEP, PHYHIP and IL3RA - In persons of African ancestry with severe preeclampsia.Placenta · 2023Article
- Epigenome-Wide Associations of Placental DNA Methylation and Behavioral and Emotional Difficulties in Children at 3 Years of Age.International journal of molecular sciences · 2023Article
- Spatially constrained gene regulation identifies key genetic contributions of preeclampsia, hypertension, and proteinuria†.Biology of reproduction · 2023Article
- Placental cell type deconvolution reveals that cell proportions drive preeclampsia gene expression differences.Communications biology · 2023Article
- A cross-sectional analysis of syncytiotrophoblast membrane extracellular vesicles-derived transcriptomic biomarkers in early-onset preeclampsia.Frontiers in cardiovascular medicine · 2023Article
- BCL6, a key oncogene, in the placenta, pre-eclampsia and endometriosis.Human reproduction update · 2022Review
- Evaluating maternal exposure to an environmental per and polyfluoroalkyl substances (PFAS) mixture during pregnancy: Adverse maternal and fetoplacental effects in a New Zealand White (NZW) rabbit model.The Science of the total environment · 2022Article
- Immature Platelet Fraction and Thrombin Generation: Preeclampsia Biomarkers.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2022Article
- Coenzyme A Restriction as a Factor Underlying Pre-Eclampsia with Polycystic Ovary Syndrome as a Risk Factor.International journal of molecular sciences · 2022Article
- Preeclampsia, Natural History, Genes, and miRNAs Associated with the Syndrome.Journal of pregnancy · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pre-eclampsia (PE) is a serious multi-factorial disorder of human pregnancy. It is associated with changes in the expression of placental genes. Recent transcription profiling of placental genes with microarray analyses have offered better opportunities to define the molecular pathology of this disorder. However, the extent to which placental gene expression changes in PE is not fully understood. We conducted a systematic review of published PE and normal pregnancy (NP) control placental RNA microarrays to describe the similarities and differences between NP and PE placental gene expression, and examined how these differences could contribute to the molecular pathology of the disease. A total of 167 microarray samples were available for meta-analysis. We found the expression pattern of one group of genes was the same in PE and NP. The review also identified a set of genes (PE unique genes) including a subset, that were significantly (p < 0.05) down-regulated in pre-eclamptic placentae only. Using class prediction analysis, we further identified the expression of 88 genes that were highly associated with PE (p < 0.05), 10 of which (LEP, HTRA4, SPAG4, LHB, TREM1, FSTL3, CGB, INHA, PROCR, and LTF) were significant at p < 0.001. Our review also suggested that about 30% of genes currently being investigated as possibly of importance in PE placenta were not consistently and significantly affected in the PE placentae. We recommend further work to confirm the roles of the PE unique and associated genes, currently not being investigated in the molecular pathology of the disease.
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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.