G-Protein Coupled Receptor Dysregulation May Play Roles in Severe Preeclampsia—A Weighted Gene Correlation Network Analysis of Placental Gene Expression Profile

Preeclampsia is one of the major hypertensive diseases of pregnancy. Genetic factors contribute to abnormal placentation. The inadequate transformation of cytotrophoblasts causes failure of maternal spiral arteries’ remodeling and results in narrow, atherotic-prone vessels, leading to relative place...

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Main Authors: Manuel S. Vidal, Christian Deo T. Deguit, Gracia Fe B. Yu, Melissa D. Amosco
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Cells
Subjects:
Online Access:https://www.mdpi.com/2073-4409/11/5/763
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author Manuel S. Vidal
Christian Deo T. Deguit
Gracia Fe B. Yu
Melissa D. Amosco
author_facet Manuel S. Vidal
Christian Deo T. Deguit
Gracia Fe B. Yu
Melissa D. Amosco
author_sort Manuel S. Vidal
collection DOAJ
description Preeclampsia is one of the major hypertensive diseases of pregnancy. Genetic factors contribute to abnormal placentation. The inadequate transformation of cytotrophoblasts causes failure of maternal spiral arteries’ remodeling and results in narrow, atherotic-prone vessels, leading to relative placental ischemia. This study aims to explore the possibility of identifying dysregulated gene networks that may offer a potential target in the possible prevention of preeclampsia. We performed a weighted gene correlated network analysis (WGCNA) on a subset of gene expression profiles of placental tissues from severe preeclamptic pregnancies. We identified a gene module (number of genes = 402, GS = 0.35, <i>p</i> = 0.02) enriched for several G-protein-coupled receptor (GPCR)-related genes with significant protein–protein molecular interaction (number of genes = 38, FDR = 0.0007) that may play key roles in preeclampsia. Some genes are noted to play key roles in preeclampsia, including <i>LPAR4/5, CRLR, NPY, TACR1/2</i>, and <i>SFRP4/5</i>, whose functions generally relate to angiogenesis and vasodilation or vasoconstriction. Other upregulated genes, including olfactory and orexigenic genes, serve limited functions in the disease pathogenesis. Altogether, this study shows the utility of WGCNA in exploring possible new gene targets, and additionally reinforces the feasibility of targeting GPCRs that may offer intervention against development and disease progression among severe preeclampsia patients.
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spelling doaj.art-471a59c4b83a4b0bb6d880f0a38cd2a72023-11-23T22:49:54ZengMDPI AGCells2073-44092022-02-0111576310.3390/cells11050763G-Protein Coupled Receptor Dysregulation May Play Roles in Severe Preeclampsia—A Weighted Gene Correlation Network Analysis of Placental Gene Expression ProfileManuel S. Vidal0Christian Deo T. Deguit1Gracia Fe B. Yu2Melissa D. Amosco3College of Medicine, University of the Philippines, Manila 1000, PhilippinesInstitute of Human Genetics, National Institutes of Health, University of the Philippines, Manila 1000, PhilippinesDepartment of Biochemistry and Molecular Biology, University of the Philippines Manila, Manila 1000, PhilippinesDepartment of Obstetrics and Gynecology, Philippine General Hospital, University of the Philippines, Manila 1000, PhilippinesPreeclampsia is one of the major hypertensive diseases of pregnancy. Genetic factors contribute to abnormal placentation. The inadequate transformation of cytotrophoblasts causes failure of maternal spiral arteries’ remodeling and results in narrow, atherotic-prone vessels, leading to relative placental ischemia. This study aims to explore the possibility of identifying dysregulated gene networks that may offer a potential target in the possible prevention of preeclampsia. We performed a weighted gene correlated network analysis (WGCNA) on a subset of gene expression profiles of placental tissues from severe preeclamptic pregnancies. We identified a gene module (number of genes = 402, GS = 0.35, <i>p</i> = 0.02) enriched for several G-protein-coupled receptor (GPCR)-related genes with significant protein–protein molecular interaction (number of genes = 38, FDR = 0.0007) that may play key roles in preeclampsia. Some genes are noted to play key roles in preeclampsia, including <i>LPAR4/5, CRLR, NPY, TACR1/2</i>, and <i>SFRP4/5</i>, whose functions generally relate to angiogenesis and vasodilation or vasoconstriction. Other upregulated genes, including olfactory and orexigenic genes, serve limited functions in the disease pathogenesis. Altogether, this study shows the utility of WGCNA in exploring possible new gene targets, and additionally reinforces the feasibility of targeting GPCRs that may offer intervention against development and disease progression among severe preeclampsia patients.https://www.mdpi.com/2073-4409/11/5/763preeclampsiaG-protein-coupled receptorsGPCRweighted gene correlation network analysisWGCNA
spellingShingle Manuel S. Vidal
Christian Deo T. Deguit
Gracia Fe B. Yu
Melissa D. Amosco
G-Protein Coupled Receptor Dysregulation May Play Roles in Severe Preeclampsia—A Weighted Gene Correlation Network Analysis of Placental Gene Expression Profile
Cells
preeclampsia
G-protein-coupled receptors
GPCR
weighted gene correlation network analysis
WGCNA
title G-Protein Coupled Receptor Dysregulation May Play Roles in Severe Preeclampsia—A Weighted Gene Correlation Network Analysis of Placental Gene Expression Profile
title_full G-Protein Coupled Receptor Dysregulation May Play Roles in Severe Preeclampsia—A Weighted Gene Correlation Network Analysis of Placental Gene Expression Profile
title_fullStr G-Protein Coupled Receptor Dysregulation May Play Roles in Severe Preeclampsia—A Weighted Gene Correlation Network Analysis of Placental Gene Expression Profile
title_full_unstemmed G-Protein Coupled Receptor Dysregulation May Play Roles in Severe Preeclampsia—A Weighted Gene Correlation Network Analysis of Placental Gene Expression Profile
title_short G-Protein Coupled Receptor Dysregulation May Play Roles in Severe Preeclampsia—A Weighted Gene Correlation Network Analysis of Placental Gene Expression Profile
title_sort g protein coupled receptor dysregulation may play roles in severe preeclampsia a weighted gene correlation network analysis of placental gene expression profile
topic preeclampsia
G-protein-coupled receptors
GPCR
weighted gene correlation network analysis
WGCNA
url https://www.mdpi.com/2073-4409/11/5/763
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