AI Article Synopsis

  • - Sepsis can lead to serious complications like acute kidney injury (AKI), and this study investigates the role of circular RNA (circRNA) in septic AKI (SAKI), focusing on its regulatory mechanisms.
  • - Researchers analyzed 40 blood samples (20 from SAKI patients and 20 from healthy individuals) and identified numerous differentially expressed RNAs, forming co-expression networks that highlight interactions between circRNA, miRNA, and mRNA.
  • - The study's findings, which are the first of their kind, reveal key genes involved in SAKI and suggest new targets for treatment and understanding of the disease's causes.

Article Abstract

Sepsis is a complex, life-threatening clinical syndrome that can cause other related diseases, such as acute kidney injury (AKI). Circular RNA (circRNA) is a type of non-coding RNA with a diverse range of functions, and it plays essential roles in miRNA sponge. CircRNA plays a huge part in the development of various diseases. CircRNA and the competing endogenous RNA (ceRNA) regulatory network are unknown factors in the onset and progression of septic AKI (SAKI). This study aimed to clarify the complex circRNA-associated regulatory mechanism of circRNAs in SAKI. We collected 40 samples of whole blood of adults, including 20 cases of SAKI and 20 cases of healthy controls. Moreover, five cases were each analyzed by RNA sequencing, and we identified differentially expressed circRNA, miRNA, and mRNA (DEcircRNAs, DEmiRNAs, and DEmRNAs, respectively). All samples were from SAKI patients with intraperitoneal infection. As a result, we screened out 236 DEcircRNAs, 105 DEmiRNAs, and 4065 DEmRNAs. Then, we constructed two co-expression networks based on RNA-RNA interaction, including circRNA-miRNA and miRNA-mRNA co-expression networks. We finally created a circRNA-miRNA-mRNA regulation network by combining the two co-expression networks. Functional and pathway analyses indicated that DEmRNAs in ceRNA were mostly concentrated in T cell activation, neutrophils and their responses, and cytokines. The protein-protein interaction network was established to screen out the key genes participating in the regulatory network of SAKI. The hub genes identified as the top 10 nodes included the following: ZNF727, MDFIC, IFITM2, FOXD4L6, CIITA, KCNE1B, BAGE2, PPIAL4A, USP17L7, and PRSS2. To our knowledge, this research is the first study to describe changes in the expression profiles of circRNAs, miRNAs, and mRNAs in patients with SAKI. These findings provide a new treatment target for SAKI treatment and novel ideas for its pathogenesis.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10538531PMC
http://dx.doi.org/10.3389/fgene.2023.1209042DOI Listing

Publication Analysis

Top Keywords

co-expression networks
12
circrna mirna
8
mirna mrna
8
acute kidney
8
kidney injury
8
regulatory network
8
saki
7
network
5
circrna
5
comprehensive analysis
4

Similar Publications

Hepatocellular carcinoma (HCC) is characterized by a poor prognosis globally. PAX-interacting protein 1 (PAXIP1) serves a key role in the development of numerous human cancer types. Nevertheless, its specific involvement in HCC remains poorly understood.

View Article and Find Full Text PDF

Background: Chronic obstructive pulmonary disease (COPD) is a chronic and progressive lung disease. Disulfidptosis-related genes (DRGs) may be involved in the pathogenesis of COPD. From the perspective of predictive, preventive, and personalized medicine (PPPM), clarifying the role of disulfidptosis in the development of COPD could provide a opportunity for primary prediction, targeted prevention, and personalized treatment of the disease.

View Article and Find Full Text PDF

Preeclampsia (PE) is a common hypertensive disease in women with pregnancy. With the development of bioinformatics, WGCNA was used to explore specific biomarkers to provide therapy targets efficiently. All samples were obtained from gene expression omnibus (GEO), then we used a package named "WGCNA" to construct a scale-free co-expression network and modules related to PE.

View Article and Find Full Text PDF

Several mungbean (Vigna radiata (L.) Wilczek) cultivars are susceptible to Cercospora leaf spot (CLS) caused by Cercospora canescens Ellis & Martin, and it is necessary to explore resistance sources and understand resistance mechanisms. However, the CLS resistance mechanisms have not yet been explored.

View Article and Find Full Text PDF

Background: Although pentatricopeptide repeat domain 1 (PTCD1) has been found to modulate mitochondrial metabolic and oxidative phosphorylation, its contribution in the growth of clear cell renal cell carcinoma (ccRCC) remains unknown.

Methods: The Cancer Genome Atlas (TCGA) dataset was utilized to examine the transcriptional alterations, patient characteristics, clinical outcomes, as well as pathway activation of PTCD1. The Weighted Gene Co-expression Network Analysis (WGCNA) was performed to investigate potential genes that associated with PTCD1.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!