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      Circular RNA profile in Graves’ disease and potential function of hsa_circ_0090364

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          Abstract

          Background

          Graves’ disease is a common autoimmune disease. Cytokines and their signalling pathways play a major part in the pathogenesis of Graves’ disease; however, the underlying mechanism needs to be clarified.

          Aims

          The aim of this study was to explore whether circular RNAs participate in the immunological pathology of Graves’ disease via cytokine-related signalling pathways.

          Methods

          Bioinformatics analysis was performed to identify differentially expressed circular RNAs and their targets and associated pathways. A total of three patients with Graves’ disease and three sex- and age-matched healthy controls were enrolled for validation with microarray analysis and real-time quantitative PCR (qPCR). An additional 24 patients with Graves’ disease and 24 gender- and age-matched controls were included for validation by real-time fluorescent qPCR. Flow cytometry and CCK8 assays were used to detect the apoptotic and proliferative levels of Jurkat cells (T lymphocytes) with the silenced expression of circRNA. ELISA was performed to detect the growth and apoptosis-related proteins. The competition mechanism of endogenous RNA was explored by real-time fluorescence qPCR.

          Results

          A total of 366 significantly differentially expressed circular RNAs were identified in the Graves’ disease group compared to healthy controls. The level of hsa_circ_0090364 was elevated in Graves’ disease patients and positively correlated with thyroid-stimulating hormone receptor antibodies. Further analyses suggested that hsa_circ_0090364 may regulate the JAK-STAT pathway via the hsa-miR-378a-3p/IL-6ST/IL21R axis to promote cell growth.

          Conclusions

          These results provide novel clues into the pathophysiological mechanisms of Graves’ disease and potential targets for drug treatment.

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          Most cited references29

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          miRDB: an online database for prediction of functional microRNA targets

          Abstract MicroRNAs (miRNAs) are small noncoding RNAs that act as master regulators in many biological processes. miRNAs function mainly by downregulating the expression of their gene targets. Thus, accurate prediction of miRNA targets is critical for characterization of miRNA functions. To this end, we have developed an online database, miRDB, for miRNA target prediction and functional annotations. Recently, we have performed major updates for miRDB. Specifically, by employing an improved algorithm for miRNA target prediction, we now present updated transcriptome-wide target prediction data in miRDB, including 3.5 million predicted targets regulated by 7000 miRNAs in five species. Further, we have implemented the new prediction algorithm into a web server, allowing custom target prediction with user-provided sequences. Another new database feature is the prediction of cell-specific miRNA targets. miRDB now hosts the expression profiles of over 1000 cell lines and presents target prediction data that are tailored for specific cell models. At last, a new web query interface has been added to miRDB for prediction of miRNA functions by integrative analysis of target prediction and Gene Ontology data. All data in miRDB are freely accessible at http://mirdb.org.
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            2016 American Thyroid Association Guidelines for Diagnosis and Management of Hyperthyroidism and Other Causes of Thyrotoxicosis.

            Thyrotoxicosis has multiple etiologies, manifestations, and potential therapies. Appropriate treatment requires an accurate diagnosis and is influenced by coexisting medical conditions and patient preference. This document describes evidence-based clinical guidelines for the management of thyrotoxicosis that would be useful to generalist and subspecialty physicians and others providing care for patients with this condition.
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              Past, present, and future of circ RNA s

              Exonic circular RNAs (circRNAs) are covalently closed RNA molecules generated by a process named back-splicing. circRNAs are highly abundant in eukaryotes, and many of them are evolutionary conserved. In metazoans, circular RNAs are expressed in a tissue-specific manner, are highly stable, and accumulate with age in neural tissues. circRNA biogenesis can regulate the production of the linear RNA counterpart in cis as back-splicing competes with linear splicing. Recent reports also demonstrate functions for some circRNAs in trans: Certain circRNAs interact with microRNAs, some are translated, and circRNAs have been shown to regulate immune responses and behavior. Here, we review current knowledge about animal circRNAs and summarize new insights into potential circRNA functions, concepts of their origin, and possible future directions in the field.

                Author and article information

                Journal
                Endocr Connect
                Endocr Connect
                EC
                Endocrine Connections
                Bioscientifica Ltd (Bristol )
                2049-3614
                28 September 2022
                01 November 2022
                : 11
                : 11
                : e220030
                Affiliations
                [1 ]Department of Endocrinology , The Second affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
                Author notes
                Correspondence should be addressed to H Huang: huibinhuang@ 123456fjmu.edu.cn
                Author information
                http://orcid.org/0000-0001-6487-7029
                Article
                EC-22-0030
                10.1530/EC-22-0030
                9578071
                36018563
                f979084e-2746-4a77-bad4-c589e01e521a
                © The authors

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 26 July 2022
                : 25 August 2022
                Categories
                Research

                bioinformatics analysis,circular rnas,graves’ disease,hsa_circ_0090364

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