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

• Published in: Scientific reports Vol. 14; no. 1; pp. 27330 - 16
• Main Authors: Lu, Fan, Zeng, Ni, Xiao, Xiang, Wang, Xingxing, Gong, Han, Lei, Houkang
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 09.11.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 631/114/2114; 692/699/75/243/793; AGAP2-AS1; Biomarkers; Competing endogenous RNA network; Cytoplasm; Daxx protein; Drug interaction; Female; Gene expression; Gene Expression Profiling - methods; Gene Expression Regulation; Gene Regulatory Networks; Humanities and Social Sciences; Humans; lncRNA; MicroRNAs; MicroRNAs - genetics; miRNA; multidisciplinary; Non-coding RNA; Obstetrics; Pre-eclampsia; Pre-Eclampsia - genetics; Preeclampsia; Pregnancy; Protein Interaction Maps - genetics; RNA, Competitive Endogenous; RNA, Long Noncoding - genetics; RNA, Messenger - genetics; Science; Science (multidisciplinary); Biomarkers; lncRNA; Competing endogenous RNA network; AGAP2-AS1; Preeclampsia
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-024-79224-2

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.