1. The Construction and Comprehensive Analysis of Inflammation-Related ceRNA Networks and Tissue-Infiltrating Immune Cells in Ulcerative Progression
- Author
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Li-Hong Teng, Jia-Wei Lu, Wei-Li Liu, and Aimaier Rouzigu
- Subjects
0301 basic medicine ,Article Subject ,Biology ,Severity of Illness Index ,General Biochemistry, Genetics and Molecular Biology ,03 medical and health sciences ,0302 clinical medicine ,microRNA ,Databases, Genetic ,medicine ,Humans ,Gene Regulatory Networks ,RNA, Messenger ,Gene ,Inflammation ,General Immunology and Microbiology ,Competing endogenous RNA ,Microarray analysis techniques ,Decision Trees ,Weighted correlation network analysis ,General Medicine ,Acquired immune system ,medicine.disease ,Ulcerative colitis ,MicroRNAs ,030104 developmental biology ,Gene Ontology ,Gene Expression Regulation ,030220 oncology & carcinogenesis ,Neutrophil degranulation ,Cancer research ,Disease Progression ,Medicine ,RNA ,Colitis, Ulcerative ,RNA, Long Noncoding ,Research Article - Abstract
Ulcerative colitis (UC) is a common disease with great variability in severity, with a high recurrence rate and heavy disease burden. In recent years, the different biological functions of competing endogenous RNA (ceRNA) networks of long noncoding RNAs (lncRNAs) and microRNAs (miRs) have aroused wide concerns, the ceRNA network of ulcerative colitis (UC) may have potential research value, and these expressed noncoding RNAs may be involved in the molecular basis of inflammation recurrence and progression. This study analyzed 490 colon samples associated with UC from 4 gene expression microarrays from the GEO database and identified gene modules by weighted correlation network analysis (WGCNA). CIBERSORT detected tissue-infiltrating leukocyte profiling by deconvolution of microarray data. LncBase and multiMIR were used to identify lncRNA-miRNA-mRNA interaction. We constructed a ceRNA network which includes 4 lncRNAs (SH3BP5-AS1, MIR4435-2HG, ENTPD1-AS1, and AC007750.1), 5 miRNAs (miR-141-3p, miR-191-5p, miR-192-5p, miR-194-5p, and miR196-5p), and 52 mRNAs. Those genes are involved in interleukin family signals, neutrophil degranulation, adaptive immunity, and cell adhesion pathways. lncRNA MIR4435-2HG is a variable in the decision tree for moderate-to-severe UC diagnostic prediction. Our work identifies potential regulated inflammation-related lncRNA-miRNA-mRNA regulatory axes. The regulatory axes are dysregulated during the deterioration of UC, suggesting that it is a risk factor for UC progression.
- Published
- 2021