Next Article in Journal
Contribution of Neurotrophins to the Immune System Regulation and Possible Connection to Alcohol Addiction
Previous Article in Journal
MYB Transcription Factors as Regulators of Secondary Metabolism in Plants
Open AccessReview

A Review of Candidate Genes and Pathways in Preeclampsia–An Integrated Bioinformatical Analysis

1
Faculty of Medicine and Health Sciences, Universiti Sains Islam Malaysia, 56100 Kuala Lumpur, Selangor, Malaysia
2
Department of Obstetrics and Gynaecology, Hospital Ampang, 68000 Ampang Jaya, Selangor, Malaysia
3
Department of Haematology, Hospital Ampang, 68000 Ampang Jaya, Selangor, Malaysia
*
Author to whom correspondence should be addressed.
Biology 2020, 9(4), 62; https://doi.org/10.3390/biology9040062
Received: 24 February 2020 / Revised: 24 March 2020 / Accepted: 25 March 2020 / Published: 27 March 2020
(This article belongs to the Section Genetics and Genomics)
Preeclampsia is a pregnancy-specific disorder characterized by the presence of hypertension with the onset of either proteinuria, maternal organ or uteroplacental dysfunction. Preeclampsia is one of the leading causes of maternal and fetal mortality and morbidity worldwide. However, the etiopathologies of preeclampsia are not fully understood. Many studies have indicated that genes are differentially expressed between normal and in the disease state. Hence, this study systematically searched the literature on human gene expression that was differentially expressed in preeclampsia. An electronic search was performed through 2019 through PubMed, Scopus, Ovid-Medline, and Gene Expression Omnibus where the following MeSH (Medical Subject Heading) terms were used and they had been specified as the primary focus of the articles: Gene, placenta, preeclampsia, and pregnancy in the title or abstract. We also found additional MeSH terms through Cochrane Library: Transcript, sequencing, and profiling. From 687 studies retrieved from the search, only original publications that had performed high throughput sequencing of human placental tissues that reported on differentially expressed genes in pregnancies with preeclampsia were included. Two reviewers independently scrutinized the titles and abstracts before examining the eligibility of studies that met the inclusion criteria. For each study, study design, sample size, sampling type, and method for gene analysis and gene were identified. The genes listed were further analyzed with the DAVID, STRING and Cytoscape MCODE. Three original research articles involving preeclampsia comprising the datasets in gene expression were included. By combining three studies together, 250 differentially expressed genes were produced at a significance setting of p < 0.05. We identified candidate genes: LEP, NRIP1, SASH1, and ZADHHC8P1. Through GO analysis, we found extracellular matrix organization as the highly significant enriched ontology in a group of upregulated genes and immune process in downregulated genes. Studies on a genetic level have the potential to provide new insights into the regulation and to widen the basis for identification of changes in the mechanism of preeclampsia. Integrated bioinformatics could identify differentially expressed genes which could be candidate genes and potential pathways in preeclampsia that may improve our understanding of the cause and underlying molecular mechanisms that could be used as potential biomarkers for risk stratification and treatment. View Full-Text
Keywords: placenta; preeclampsia; pregnancy; transcript; sequencing and differentially expressed genes placenta; preeclampsia; pregnancy; transcript; sequencing and differentially expressed genes
Show Figures

Figure 1

MDPI and ACS Style

Mohamad, M.A.; Mohd Manzor, N.F.; Zulkifli, N.F.; Zainal, N.; Hayati, A.R.; Ahmad Asnawi, A.W. A Review of Candidate Genes and Pathways in Preeclampsia–An Integrated Bioinformatical Analysis. Biology 2020, 9, 62.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop