ObjectiveTo summarize the research progress in the study of the diagnostic function of humoral circular RNAs in human diseases.MethodsThe research progress was summarized by reading relevant literatures on the diagnostic function of humoral circular RNAs in human disease at home and abroad.ResultsAs endogenous circular RNA molecules, circular RNAs were found to be related to a variety of diseases due to their stable structures, conserved sequences, diverse functions, and tissue cell specificity. Recent studies had found that circular RNAs could be secreted into body fluids, such as blood, saliva, urine, gastric juice, seminal plasma, and so on. They could also exist in body fluids stably. In addition, circular RNAs were found that was related to the diagnosis of various diseases, including cardiovascular diseases, nervous system diseases, autoimmune diseases, various carcinomas and metabolic diseases, and so on. As a consequence, circular RNAs might be important biomarkers for non-invasive detection of human diseases.ConclusionsRecent researches have found that circular RNA is related to the diagnosis of various diseases. Therefore, the in-depth study of the relationship between humoral circular RNAs and the diagnosis of diseases is conducive to the development of non-invasive diagnostic markers of clinical diseases, which is of great significance for the non-invasive diagnosis of diseases.
Circular RNA (circRNA) is a type of single-stranded RNA that binds in a closed loop structure by covalent bond. It is highly expressed and has diverse functions in the eukaryotic transcriptome, and it also has the potential to regulate the process of cell differentiation. Stem cells are important seed cells and common research tools in the field of tissue engineering, which have multi-directional differentiation potential and low immunogenicity. Its clinical application for the treatment of diseases has broad prospects, and the research on their differentiation mechanism has gradually penetrated to the molecular level. A number of studies have shown that circRNA participates in stem cell differentiation and plays a key role through a variety of pathways. This article focuses on the expression changes of circRNA during stem cell differentiation and its research advancement in regulating the differentiation mechanism of various stem cells. The review also prospects its possible role in tissue regeneration and repair, in order to further study the molecular mechanism of circRNA involved in stem cell differentiation and provide ideas for clinical practice of stem cells in biomedical engineering.
ObjectiveTo systematically profile and characterize the circular RNA (circRNA) and microRNA (miRNA) expression pattern in the lesion epicenter of spinal tissues after traumatic spinal cord injury (TSCI) and predict the structure and potential functions of the regulatory network.MethodsForty-eight adult male C57BL/6 mice (weighing, 18-22 g) were randomly divided into the TSCI (n=24) and sham (n=24) groups. Mice in the TSCI group underwent T8-10 vertebral laminectomy and Allen’s weight-drop spinal cord injury. Mice in the sham group underwent the same laminectomy without TSCI. The spinal tissues were harvested after 3 days. Some tissues were stained with HE staining to observe the structure. The others were used for sequencing. The RNA-Seq, gene ontology (GO) analysis, and circRNA-miRNA network analyses (TargetScan and miRanda) were used to profile the expression and regulation patterns of network of mice models after TSCI.ResultsHE staining showed the severe damage to the spinal cord in TSCI group compared with sham group. A total of 17 440 circRNAs and 1 228 miRNAs were identified. The host gene of significant differentially expressed circRNA enriched in the cytoplasm, associated with positive regulation of transcription and protein phosphorylation. mmu-miR-21-5p was the most significant differentially expressed miRNA after TSCI, and circRNA6730 was predicted to be its targeted circRNA. Then a potential regulatory circRNA-miRNA network was constructed.ConclusionThe significant differentially expressed circRNAs and miRNAs may play important roles after TSCI. A targeted interaction network with mmu-miR-21-5p at the core of circRNA6730 could provide basis of pathophysiological mechanism, as well as help guide therapeutic strategies for TSCI.
ObjectiveTo detect the differentially expressed circular RNA (circRNA) in rotator cuff tendinopathy and analyze the potential molecular mechanism of these parental genes.MethodsTen supraspinatus tendons donated from patients who underwent tendon repair surgery between June 2018 and June 2019 were used for RNA-sequence. All rotator cuff tendinopathy and normal tendon samples were confirmed by MRI, histological staining, and observation by arthroscopy. All pathological tendons were matched with tendon samples for patients’ age, gender, body mass index, and Bonar score. The bioinformatic analysis was performed based on the differentially expressed circRNA and their parental genes, including gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and competing endogenous RNA (ceRNA) network construction.ResultsThere were 94 differentially expressed circRNAs, including 31 up-regulated and 63 down-regulated, detected between the rotator cuff tendinopathy and normal tendon samples with |log2 fold change (FC)| >2, P<0.05. GO analysis showed that the genes were mostly enriched in response to cyclic adenosine monophosphate (cAMP). KEGG pathway analysis showed that the most genes were enriched in extracellular matrix-receptor interaction, protein digestion and absorption, cell cycle, and nuclear factor κB signaling pathway. ceRNA networks showed the interactions among circRNAs, mRNAs, and miRNAs. And circRNA.8951-has-miR-6089-DNMT3B was the most sum max energy.ConclusionThis bioinformatic study reveals several potential therapeutic targets for rotator cuff tendinopathy, which paves the way to better treatment and prevention of this disorder.
ObjectiveTo understand the research status and future directions of circular RNA (circRNA) in pancreatic cancer, and to provide references for its further research.MethodThe recent literatures on studies of the role of circRNA in the pancreatic cancer were reviewed.ResultsThe retsults of high-throughput sequencing had shown that large amounts of circRNA expressed abnormally in the pancreatic cancer tissues and pancreatic cancer cell lines, and they participated in the occurrence and development of pancreatic cancer, drug resistance, autophagy, and immune escape by regulating downstream target molecules such as microRNA or RNA-binding protein.ConclusionCertain circRNAs with important function are expected to become biomarkers for early diagnosis of pancreatic cancer and molecular targets for treatment, so as to achieve goals of early diagnosis and targeted therapy of pancreatic cancer.
ObjectiveTo understand the research progress of related biomarkers in early diagnosis of gastric cancer in recent years.MethodThe domestic and foregin literatures on studies of biomarkers of early diagnosis of gastric cancer in recent years were reviewed.ResultsAt present, the sensitivity and specificity of serum tumor biomarkers of gastric cancer such as CEA and CA19-9 were lower, so the molecular markers that could predict, screen, and diagnose gastric cancer in the early stage were further explored. The recent studies suggested that microRNAs, long non-coding RNAs, circular RNAs, exosome, etc. molecular markers in early diagnosis of gastric cancer had better prospects of clinilal application.ConclusionWith the continuous development of molecular biology technology, the values of microRNAs, long non-coding RNAs, circular RNAs, DNA, etc. in early diagnosis of gastric cancer would be further explored.
Objective To study the expression of 4 circular RNA (circRNA) in peripheral blood mononuclear cells (PBMC) of patients with epilepsy and to predict its function by bioinformatics, so as to provide basis for exploring the pathogenesis of epilepsy. Methods From May 2020 to May 2021, 22 epilepsy patients were treated in the Department of Neurology of the First Affiliated Hospital of Baotou Medical College of Inner Mongolia University of Science and Technology, and 22 control group were selected. There were 13 males and 8 females in the epilepsy group, with an average age of (36.41±8.39)years. There were 11 males and 11 females in the control group, with an average age of (34.41±8.68) years. The expression levels of circRNA EFCAB2, C14orf159, PARG and TMEM39 in PBMC were detected by real-time fluorescence quantitative PCR, and their functions were predicted by bioinformatics. Results Compared with the control group, the relative expression of EFCAB2 and C14orf159 in PBMC of epileptic patients was 1.42±0.06 (t=29.41) and 1.31±0.03 (t=25.27), PARG and TMEM39 were not detected in peripheral blood PBMC. Bioinformatics analysis showed that three mirnas obtained by EFCAB2 were miR-6873-3p, miR-6739-3p and miR-7110-3p. Three mirnas were obtained by C14orf159: miR-1180-3p, miR-6501-3p, and miR-3622b-5p. The seizure-related genes were predicted by TargetScan database. EFCAB2: miR-6873-3p met the requirements of 11 downstream genes. A total of 7 downstream genes of miR-6739-3p met the requirements.A total of 14 downstream genes were eligible for miR-7110-3p and a total of 9 downstream genes were eligible for miR-6501-3p. A total of 14 downstream genes were eligible for miR-3622B-5p.miR-1180-3p has a total of 1 downstream genes that meet the requirements. Conclusions Studies have shown that two circrnas, EFCAB2 and C14orf159, may be important biological markers of epilepsy. Through bioinformatics analysis, these two circrnas may act as "molecular sponges" to regulate epilepsy. EFCAB2 has the potential to act as a "molecular sponge" for miR-6873-3p and miR-7110-3p, and it was found that miR-6873-3p and miR-7110-3 share a common downstream target gene MAP1B-which plays a role in epilepsy by regulating voltage-gated sodium channels. C14orf159 can act as a molecular sponge for miR-6501-3p to regulate the expression of CCL3 and play a role in epilepsy.
Objective To explore the differential expression of circular RNAs (circRNAs) in polycystic ovary syndrome (PCOS) by bioinformatics, and predict the microRNAs (miRNAs) associated with them. Methods The expression profile of cumulus cells gene chip in PCOS was searched in the Gene Expression Omnibus database, and differential circRNAs were screened by GEO2R tool of the database. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes signaling pathways of different circRNA genes were analyzed using the DAVID 6.8 database. Circular RNA interactome was used to predict the potential regulated miRNAs. Cytoscape software was used to establish circRNA-miRNA network map. The potential regulatory miRNAs were predicted by the 10 circRNAs with the most significant differences in up-regulation and down-regulation. Results A total of 247 circRNAs were obtained in PCOS, and 277 miRNAs binding to up-regulated circRNA genes and 125 miRNAs binding to down-regulated circRNA genes were predicted. The top 10 miRNAs that could bind to multiple differential circRNAs were hsa-miR-557, hsa-miR-507, hsa-miR-224, hsa-miR-136, hsa-miR-127-5p, hsa-miR-579, hsa-miR-502-5p, hsa-miR-186, hsa-miR-1253, and hsa-miR-432. Conclusion The differential expression analysis of circRNAs is helpful to understand the main role of circRNAs in PCOS, and the prediction of potential regulated miRNAs can help to understand the pathogenesis of the disease.
Objective By summarizing the latest research progress of circRNA translation mechanism and reviewing the research progress of circRNA translation in various digestive system tumors, this paper is aiming to forecast the clinical application prospect of circular RNA translation and provide ideas for the diagnosis and treatment of digestive system neoplasms. Method The literatures on the translation of circRNA and its role in digestive system neoplasms were searched and reviewed. Results As a member of the non-coding RNA family, circRNAs are generally considered to be difficult to encode proteins as translation templates. With the rapid development of bioinformatics, next-generation sequencing, proteomics and translation omics, it has been found that many kinds of circRNAs can encode proteins or peptides in a cap-independent manner and play a critical role in the development of digestive system neoplasms, including gastric cancer, liver cancer and colorectal cancer. Conclusions The translation function of circRNA plays an important role in the development and progression of digestive system tumors, and its translation products may become new diagnostic or therapeutic targets for digestive system tumors, with great clinical transformation potential.
Objective To explore the mode and role of differential expression of circular RNAs (circRNAs) in myelodysplastic syndrome (MDS). Methods We preprocessed and analyzed the circRNA expression profile datasets GSE163386, GSE94591, and GSE81173 in the GEO (Gene Expression Omnibus) database. By using the circBank database and the ENCORI, miRDB, and miRWalk databases to predict microRNAs (miRNAs) that interacted with differentially expressed circRNAs and messenger RNAs (mRNAs), the circRNA-miRNA-mRNA axis was constructed. We retrieved miRNAs related to MDS in PubMed and further obtained competing endogenous RNA (ceRNA) networks related to MDS by taking intersections. Results Through analysis, 128 differentially expressed circRNAs were identified, 48 highly expressed, and 80 low expressed. Among differentially expressed circRNAs with multiple differences>10, 3 were upregulated and 11 were downregulated. Through analysis, 101 differentially expressed mRNA were identified, with 9 upregulated and 92 downregulated. Intersecting with the MDS related miRNAs retrieved by PubMed, we further obtained the MDS related ceRNA network, namely circRNA (has_circ_0061137)-miRNA (has-miR-16-5p)-mRNA (RUBCNL, TBC1D9, SLC16A6) and circRNA (has_circ_0061137)-miRNA (has-miR-125b-5p)-mRNA (CCR5, SLC16A6, IRF4), all of which were downregulated. Conclusion The ceRNA networks revealed in this study may help elucidate the circRNA mechanism in MDS.