Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2021 Oct;71(10):1967-1974.
doi: 10.1007/s12031-021-01845-3. Epub 2021 May 16.

Study on the Relationship between the miRNA-centered ceRNA Regulatory Network and Fatigue

Affiliations
Review

Study on the Relationship between the miRNA-centered ceRNA Regulatory Network and Fatigue

Xingzhe Yang et al. J Mol Neurosci. 2021 Oct.

Abstract

In recent years, the incidence of fatigue has been increasing, and the effective prevention and treatment of fatigue has become an urgent problem. As a result, the genetic research of fatigue has become a hot spot. Transcriptome-level regulation is the key link in the gene regulatory network. The transcriptome includes messenger RNAs (mRNAs) and noncoding RNAs (ncRNAs). MRNAs are common research targets in gene expression profiling. Noncoding RNAs, including miRNAs, lncRNAs, circRNAs and so on, have been developed rapidly. Studies have shown that miRNAs are closely related to the occurrence and development of fatigue. MiRNAs can regulate the immune inflammatory reaction in the central nervous system (CNS), regulate the transmission of nerve impulses and gene expression, regulate brain development and brain function, and participate in the occurrence and development of fatigue by regulating mitochondrial function and energy metabolism. LncRNAs can regulate dopaminergic neurons to participate in the occurrence and development of fatigue. This has certain value in the diagnosis of chronic fatigue syndrome (CFS). CircRNAs can participate in the occurrence and development of fatigue by regulating the NF-κB pathway, TNF-α and IL-1β. The ceRNA hypothesis posits that in addition to the function of miRNAs in unidirectional regulation, mRNAs, lncRNAs and circRNAs can regulate gene expression by competitive binding with miRNAs, forming a ceRNA regulatory network with miRNAs. Therefore, we suggest that the miRNA-centered ceRNA regulatory network is closely related to fatigue. At present, there are few studies on fatigue-related ncRNA genes, and most of these limited studies are on miRNAs in ncRNAs. However, there are a few studies on the relationship between lncRNAs, cirRNAs and fatigue. Less research is available on the pathogenesis of fatigue based on the ceRNA regulatory network. Therefore, exploring the complex mechanism of fatigue based on the ceRNA regulatory network is of great significance. In this review, we summarize the relationship between miRNAs, lncRNAs and circRNAs in ncRNAs and fatigue, and focus on exploring the regulatory role of the miRNA-centered ceRNA regulatory network in the occurrence and development of fatigue, in order to gain a comprehensive, in-depth and new understanding of the essence of the fatigue gene regulatory network.

Keywords: Fatigue; MiRNA; NF-κB pathway; ceRNA; circRNA; lncRNA.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no conflicts of interest.

Figures

Fig. 1
Fig. 1
MiRNAs associated with fatigue
Fig. 2
Fig. 2
The role of miRNAs in the development of fatigue
Fig. 3
Fig. 3
Classification of transcriptome RNAs
Fig. 4
Fig. 4
MiRNAs play a key role in the regulatory network of ceRNA
Fig. 5
Fig. 5
The regulatory network of ceRNA with miRNAs as the core is related to fatigue

Similar articles

Cited by

References

    1. Andersen RE, Lim DA. Forging our understanding of lncRNAs in the brain. Cell Tissue Res. 2018;371(1):55–71. doi: 10.1007/s00441-017-2711-z. - DOI - PubMed
    1. Baril P, Ezzine S, Pichon C. Monitoring the spatiotemporal activities of miRNAs in small animal models using molecular imaging modalities. Int J Mol Sci. 2015;16(3):4947–4972. doi: 10.3390/ijms16034947. - DOI - PMC - PubMed
    1. Bhayani MK, Calin GA, Lai SY. Functional relevance of miRNA sequences in human disease. Mutat Res. 2012;731(1–2):14–19. doi: 10.1016/j.mrfmmm.2011.10.014. - DOI - PMC - PubMed
    1. Brenu EW, Ashton KJ, Batovska J, et al. High-Throughput Sequencing of plasma Micro RNA in Chronic Fatigue Syndrome/Myalgic Encephalomyelitis. PLoS ONE. 2014;9(9):e102783. doi: 10.1371/journal.pone.0102783. - DOI - PMC - PubMed
    1. Brenu EW, Ashton KJ, van Driel M, et al. Cytotoxic lymphocyte microRNAs as prospective biomarkers for chronic fatigue syndrome/myalgic encephalomyelitis. J Affect Disord. 2012;141(2–3):261–269. doi: 10.1016/j.jad.2012.03.037. - DOI - PubMed