The Biomarker and Therapeutic Potential of Circular Rnas in Schizophrenia

Nedoluzhko, Artem; Gruzdeva, Natalia; Sharko, Fedor; Расторгуев, С. М.; Zakharova, Natalia V.; Kostyuk, Georgiy; Ushakov, Vadim L.

doi:10.3390/cells9102238

Cited by 13 publications

(4 citation statements)

References 129 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Combining this with the fact that many circRNAs are tissue-specific and disease-specific, they present as strong candidates as biomarkers of disease-both prognostically and diagnostically. This exciting area, including the formation, clinical relevance, and therapeutic potential for circRNA biomarkers, has been reviewed for diabetes mellitus and related cardiovascular complications by Zaoui [11]; for sepsis by Beltrán-García et al [13]; for schizophrenia by Nedoluzhko et al [14]; and, as previously mentioned, for cardiovascular disease by Wang and Liu [12].…”

Section: Circrnas As Disease Biomarkersmentioning

confidence: 99%

Circular RNAs: Non-Canonical Observations on Non-Canonical RNAs

Stringer

Gantley

Conn

2023

Cells

View full text Add to dashboard Cite

The existence of circular RNA (circRNA) research in mainstream science can be attributed to the contemporary synergism of big data and keen attention to detail by several research groups worldwide. Since the re-emergence of these non-canonical RNA transcripts, seminal advances have been made in understanding their biogenesis, interactome, and functions in diverse fields and a myriad of human diseases. However, most research outputs to date have focused on the ability of highly stable circRNAs to interact with, and impact signalling through, microRNAs. This is likely to be the result of seminal papers in the field ascribing a few remarkable circRNAs as “miRNA sponges”. However, the stoichiometric ratio between the (often-lowly-expressed) circRNA and their (commonly-more-abundant) target is rarely in favour of a biologically relevant and functional consequence of these interactions. It is time for yet another revolution in circRNA research to uncover functions beyond their documented ability to bind miRNAs. This Special Issue aims to highlight non-canonical functions for this non-canonical family of RNA molecules.

show abstract

Section: Circrnas As Disease Biomarkersmentioning

confidence: 99%

Circular RNAs: Non-Canonical Observations on Non-Canonical RNAs

Stringer

Gantley

Conn

2023

Cells

View full text Add to dashboard Cite

show abstract

“…According to the research, the circRNAs are associated with a variety of diseases [6][7][8][9] and serve as prognostic biomarkers because of their stable characteristics [10] .…”

Section: Introductionmentioning

confidence: 99%

The study of competing endogenous RNAs regulatory network in hepatocellular carcinoma via bioinformatics

Huang,

Zhao,

Mao

et al. 2024

Preprint

View full text Add to dashboard Cite

Background Hepatocellular carcinoma (HCC) is among the most prevalent and lethal cancers globally and individuals diagnosed at advanced stages. The discovery of new diagnostic and prognostic markers in HCC is urgent. Circular RNAs (circRNAs) have emerged as key players in the intricate landscape of gene regulation through the competing endogenous RNA (ceRNA) mechanism. However, the ceRNA mechanism of circRNAs in HCC still remains unclear. Methods This study conducted a comprehensive HCC analysis using GEO database expression profiles for circRNAs, miRNAs, and mRNAs. Differentially expressed genes (DEGs) were revealed and visually presented through R-generated volcano plots and heatmaps. The STRING website and Cytoscape facilitated the construction of a protein-protein interaction (PPI) network. Functional enrichment analyses validated signaling pathways, and a circRNA-miRNA-mRNA network was constructed through Cytoscape. Results The study identified 86 differentially expressed mRNAs (33 upregulated, 43 downregulated) across GSE168852, GSE169289, and GSE202069 datasets. Volcano plots and Venn diagrams illustrated gene expression changes. Gene ontology (GO) and Kyoto Encylopedia of Genes and Genomes (KEGG) analysis revealed functional insights. A PPI network identified 8 key genes (HMMR, EXO1, TOP2A, CCNB1, NUF2, CCNB2, BUB1, BUB1B) validated by GEPIA and Kaplan-Meier Plotter. The Cytoscape built ceRNA network unveiled regulatory modules involving 4 mRNAs, 9 miRNAs, and 31 circRNAs. Conclusions In summary, this study established circRNA-miRNA-mRNA regulatory modules, including 4 mRNAs, 9 miRNAs, and 31 circRNAs. This offers an effective bioinformatics strategy for studying HCC molecular mechanisms and prognosis. This might provide a realm of the molecular with diagnosis and prognosis biomarkers in HCC.

show abstract

“…To exemplify, Circular RNA (circRNA) is a special type of non-coding RNA with stability, specificity and conservation 16 . It acts as an endogenous competing RNA to exert a sponge effect to absorb miRNA and thereby affect mRNA levels, indirectly regulating gene expression 17 . Also, it binds to RNA-binding protein (RBP) to participate in transcriptional regulation.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive analysis of circRNA expression profile and circRNA-miRNA-mRNA network susceptibility to very early-onset schizophrenia

Huang,

Luo,

et al. 2023

Schizophr

View full text Add to dashboard Cite

To explore the potential role of circular RNAs (circRNAs) in children developing very early-onset schizophrenia (VEOS). Total RNA was extracted from the plasma samples of 10 VEOS patients and eight healthy controls. Expression profiles of circRNAs, micro RNAs (miRNAs), and messenger RNAs (mRNAs) were analyzed using RNA-seq. The interaction networks between miRNAs and targets were predicted using the miRanda tool. A differentially expressed circRNA-miRNA-mRNA (ceRNA) network was further constructed. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses of the target mRNAs in the ceRNA network were performed to predict the potential functions of their host genes. The patient group and the control group were also compared on the regulatory patterns of circRNAs on mRNAs. 1934 circRNAs were identified from the samples and reported for the first time in schizophrenia. The circRNA expression levels were lower in the VEOS group than in the healthy control group, and 1889 circRNAs were expressed only in the control group. Differential expression analysis (i.e., log2fold change > 1.5, p 0.05) identified 235 circRNAs (1 up-regulated, 234 down-regulated), 11 miRNAs (7 up-regulated, 4 down-regulated), and 2,308 mRNAs (1906 up-regulated, 402 down-regulated) respectively. In VEOS, a ceRNA network with 10 down-regulated circRNA targets, 6 up-regulated miRNAs, and 47 down-regulated mRNAs was constructed. The target genes were involved in the membrane, the signal transduction, and the cytoskeleton and transport pathways. Finally, different expression correlation patterns of circRNA and mRNA in the network were observed between the patient group and the control group. The current research is the first to reveal the differentially expressed circRNAs in the plasma of VEOS patients. A circRNA-miRNA-mRNA network was also conducted in this study. It may be implied that the circRNAs in this network are potential diagnostic biomarkers for VEOS and they play an important role in the onset and development of VEOS symptoms.

show abstract

The Biomarker and Therapeutic Potential of Circular Rnas in Schizophrenia

Cited by 13 publications

References 129 publications

Circular RNAs: Non-Canonical Observations on Non-Canonical RNAs

Circular RNAs: Non-Canonical Observations on Non-Canonical RNAs

The study of competing endogenous RNAs regulatory network in hepatocellular carcinoma via bioinformatics

Comprehensive analysis of circRNA expression profile and circRNA-miRNA-mRNA network susceptibility to very early-onset schizophrenia

Contact Info

Product

Resources

About