Exploring the ceRNA network involving AGAP2-AS1 as a novel biomarker for preeclampsia

Abstract Preeclampsia (PE) is an important research subject in obstetrics. Nevertheless, the underlying mechanisms of PE remain elusive. PE-related expression datasets (GSE96983, GSE96984 and GSE24129) were downloaded from the Gene Expression Omnibus (GEO) database. Firstly, the differentially expre...

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Main Authors: Fan Lu, Ni Zeng, Xiang Xiao, Xingxing Wang, Han Gong, Houkang Lei
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-024-79224-2
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author Fan Lu
Ni Zeng
Xiang Xiao
Xingxing Wang
Han Gong
Houkang Lei
author_facet Fan Lu
Ni Zeng
Xiang Xiao
Xingxing Wang
Han Gong
Houkang Lei
author_sort Fan Lu
collection DOAJ
description Abstract Preeclampsia (PE) is an important research subject in obstetrics. Nevertheless, the underlying mechanisms of PE remain elusive. PE-related expression datasets (GSE96983, GSE96984 and GSE24129) were downloaded from the Gene Expression Omnibus (GEO) database. Firstly, the differentially expressed messenger RNAs (DE-mRNAs), DE-microRNA (DE-miRNAs) and DE-long non-coding RNA (DE-lncRNAs) between PE and control cohorts were identified, and the ceRNA network was constructed. Then candidate hub genes were obtained through five algorithms by the protein-protein intersection (PPI) network of the mRNAs. Further, five hub genes were identified by receiver operating characteristic (ROC) curve and gene expression profiles: DAXX, EFNB1, NCOR2, RBBP4 and SOCS1. The function of 5 hub genes was analyzed and the interaction between drugs and hub genes was predicted. A total of 5 small molecule drugs were predicted, namely benzbromarone, 9,10-phenanthrenequinone, chembl312032, insulin and aldesleukin. AGAP2-AS1 was mainly located in exosome and cytoplasm. Agap2-as1-related regulatory subnetworks were extracted from ceRNA networks which included 41 mRNAs, 2 miRNAs and 1 lncRNA, including the regulated relationship pairs AGAP2-AS1-hsa-miR-497-5p-SRPRB, and AGAP2-AS1-hsa-miR-195-5p-RPL36. In summary, we constructed a competitive endogenous RNA (ceRNA) network to identify five potential biomarkers (DAXX, EFNB1, NCOR2, SOCS1 and RBBP4) of PE. The in-depth analysis of the AGAP2-AS1 regulatory network will help to uncover more important molecules closely related to PE and provide a scientific Reference.
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spelling doaj-art-3e67b92917f54d948e507992cfb6c6c62024-11-10T12:19:56ZengNature PortfolioScientific Reports2045-23222024-11-0114111610.1038/s41598-024-79224-2Exploring the ceRNA network involving AGAP2-AS1 as a novel biomarker for preeclampsiaFan Lu0Ni Zeng1Xiang Xiao2Xingxing Wang3Han Gong4Houkang Lei5Department of Obstetrics, Affiliated Hospital of GuiZhou Medical UniversityDepartment of Hospital infection and control, Affiliated Hospital of GuiZhou Medical UniversityDepartment of Obstetrics, Affiliated Hospital of GuiZhou Medical UniversityDepartment of Obstetrics, Affiliated Hospital of GuiZhou Medical UniversityDepartment of Obstetrics, Affiliated Hospital of GuiZhou Medical UniversityDepartment of Obstetrics, Affiliated Hospital of GuiZhou Medical UniversityAbstract Preeclampsia (PE) is an important research subject in obstetrics. Nevertheless, the underlying mechanisms of PE remain elusive. PE-related expression datasets (GSE96983, GSE96984 and GSE24129) were downloaded from the Gene Expression Omnibus (GEO) database. Firstly, the differentially expressed messenger RNAs (DE-mRNAs), DE-microRNA (DE-miRNAs) and DE-long non-coding RNA (DE-lncRNAs) between PE and control cohorts were identified, and the ceRNA network was constructed. Then candidate hub genes were obtained through five algorithms by the protein-protein intersection (PPI) network of the mRNAs. Further, five hub genes were identified by receiver operating characteristic (ROC) curve and gene expression profiles: DAXX, EFNB1, NCOR2, RBBP4 and SOCS1. The function of 5 hub genes was analyzed and the interaction between drugs and hub genes was predicted. A total of 5 small molecule drugs were predicted, namely benzbromarone, 9,10-phenanthrenequinone, chembl312032, insulin and aldesleukin. AGAP2-AS1 was mainly located in exosome and cytoplasm. Agap2-as1-related regulatory subnetworks were extracted from ceRNA networks which included 41 mRNAs, 2 miRNAs and 1 lncRNA, including the regulated relationship pairs AGAP2-AS1-hsa-miR-497-5p-SRPRB, and AGAP2-AS1-hsa-miR-195-5p-RPL36. In summary, we constructed a competitive endogenous RNA (ceRNA) network to identify five potential biomarkers (DAXX, EFNB1, NCOR2, SOCS1 and RBBP4) of PE. The in-depth analysis of the AGAP2-AS1 regulatory network will help to uncover more important molecules closely related to PE and provide a scientific Reference.https://doi.org/10.1038/s41598-024-79224-2PreeclampsiaCompeting endogenous RNA networkBiomarkerslncRNAAGAP2-AS1
spellingShingle Fan Lu
Ni Zeng
Xiang Xiao
Xingxing Wang
Han Gong
Houkang Lei
Exploring the ceRNA network involving AGAP2-AS1 as a novel biomarker for preeclampsia
Scientific Reports
Preeclampsia
Competing endogenous RNA network
Biomarkers
lncRNA
AGAP2-AS1
title Exploring the ceRNA network involving AGAP2-AS1 as a novel biomarker for preeclampsia
title_full Exploring the ceRNA network involving AGAP2-AS1 as a novel biomarker for preeclampsia
title_fullStr Exploring the ceRNA network involving AGAP2-AS1 as a novel biomarker for preeclampsia
title_full_unstemmed Exploring the ceRNA network involving AGAP2-AS1 as a novel biomarker for preeclampsia
title_short Exploring the ceRNA network involving AGAP2-AS1 as a novel biomarker for preeclampsia
title_sort exploring the cerna network involving agap2 as1 as a novel biomarker for preeclampsia
topic Preeclampsia
Competing endogenous RNA network
Biomarkers
lncRNA
AGAP2-AS1
url https://doi.org/10.1038/s41598-024-79224-2
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