Microarray expression profile of circular RNAs and mRNAs in children with systemic lupus erythematosus

Li, Shipeng; Zhang, Junmei; Tan, Xiaohua; Deng, Jianghong; Li, Yan; Piao, Yurong; Li, Chao; Yang, Wenxu; Mo, Wenxiu; Sun, Jiapeng; Sun, Fei; Han, Tongxin; Wang, Jiang; Kuang, Weiying; Li, Caifeng

doi:10.1007/s10067-018-4392-8

Cited by 34 publications

(41 citation statements)

References 53 publications

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“…Moreover, the diagnostic performance of plasma or PBMC circRNA has been examined in SLE (38,39). However, to the best of our knowledge, the expression profiles and diagnostic performance of circulating circRNAs in peripheral blood from patients with SLE have been rarely reported, and there was previously only one paper investigating circRNAs expression in peripheral blood from patients with SLE (40). In this study, Li et al (40) assessed the microarray profile of circRNAs in peripheral blood to identify the changes in the expression of circRNAs between pediatric patients with SLE and healthy children, and revealed that the expression levels of hsa_circ_0057762 and hsa_circ_0003090 could differentiate the pediatric patients with SLE from the healthy children.…”

Section: Discussionmentioning

confidence: 99%

“…However, to the best of our knowledge, the expression profiles and diagnostic performance of circulating circRNAs in peripheral blood from patients with SLE have been rarely reported, and there was previously only one paper investigating circRNAs expression in peripheral blood from patients with SLE (40). In this study, Li et al (40) assessed the microarray profile of circRNAs in peripheral blood to identify the changes in the expression of circRNAs between pediatric patients with SLE and healthy children, and revealed that the expression levels of hsa_circ_0057762 and hsa_circ_0003090 could differentiate the pediatric patients with SLE from the healthy children. To the best of our knowledge, the present study was the first to performed a microarray analysis to investigate the changes in expression of circRNAs in peripheral blood from adult patients with SLE, by comparing with those in adult HCs.…”

Section: Discussionmentioning

confidence: 99%

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Expression profile and diagnostic value of circRNAs in peripheral blood from patients with systemic lupus erythematosus

Luo

et al. 2020

Mol Med Rep

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Circular RNAs (circRNAs) have gained attention due to their performance in disease diagnosis. However, the characteristics of circRNAs in peripheral blood from patients with systemic lupus erythematosus (SLE) remain unknown. Therefore, the aim of the present study was to determine the expression profile and diagnostic potential of circRNAs in peripheral blood from patients with SLE. The global circRNA expression in the peripheral blood of patients with SLE and healthy controls (HCs) was detected using a circRNA microarray. Then, the expression levels of three upregulated circRNAs were selected for further validation by reverse transcription-quantitative PCR (RT-qPCR) in a training set. Moreover, the diagnostic value of these circRNAs was assessed by constructing a receiver operating characteristic curve, and then verified in a blind testing set. In total, 1,566 circRNAs were identified to be dysregulated between patients with SLE and HCs (≥2 fold change, P<0.05). Furthermore, the RT-qPCR results were consistent with the microarray data, in that all three selected circRNAs, hsa_circ_0082688, hsa_circ_0082689 and hsa_circ_0008675, were significantly upregulated in patients with SLE (P<0.05). Results from the training set demonstrated that the combination of hsa_circ_0082688-hsa_circ_0082689 may provide the most beneficial diagnostic potential. Moreover, the blind test results indicated that the combination model of hsa_circ_0082688-hsa_circ_0082689 could effectively discriminate between patients with SLE from patients with rheumatoid arthritis and HCs, with a sensitivity of 91.30%, a specificity of 78.57% and an accuracy of 82.28%. Moreover, the combination model of hsa_circ_0082688-hsa_circ_0082689 + anti-dsDNA could more effectively discriminated the SLE group from the control groups, with a sensitivity of 95.65%, a specificity of 100.00% and an accuracy of 98.73%. In addition, correlation analysis results suggested that all three circRNAs in patients with SLE did not correlate with the SLE disease activity index. In conclusion, the expression levels of hsa_circ_0082688-hsa_circ_0082689 may serve as potential biomarkers for SLE diagnosis.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Expression profile and diagnostic value of circRNAs in peripheral blood from patients with systemic lupus erythematosus

Luo

et al. 2020

Mol Med Rep

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“…Even more, the level of hsa_circRNA_001308 was associated with C reactive protein and anti-sjögren’s syndrome-related antigen A in plasma, as well as leukopenia in PBMCs. Analogously, hsa_circ_0003090 and hsa_circ_0057762 in whole blood could differentiate the patients with SLE from the healthy controls, indicating that these two circRNAs might have potential value for SLE diagnosis 107 .…”

Section: Circrnas In Autoimmune Diseasesmentioning

confidence: 91%

Roles of circular RNAs in immune regulation and autoimmune diseases

et al. 2019

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Circular RNAs (circRNAs), as a novel class of endogenously expressed non-coding RNAs (ncRNAs), have a high stability and often present tissue-specific expression and evolutionary conservation. Emerging evidence has suggested that circRNAs play an essential role in complex human pathologies. Notably, circRNAs, important gene modulators in the immune system, are strongly associated with the occurrence and development of autoimmune diseases. Here, we focus on the roles of circRNAs in immune cells and immune regulation, highlighting their potential as biomarkers and biological functions in autoimmune diseases, such as systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), multiple sclerosis (MS), primary biliary cholangitis (PBC), and psoriasis, aiming at providing new insights into the diagnosis and therapy of these diseases. Facts • CircRNAs are related to various biological processes in immune cells, as well as immune regulation under multifarious physiological and pathological conditions. • CircRNAs serve as potential biomarkers for the diagnosis and severity of certain autoimmune diseases, such as systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), multiple sclerosis (MS), primary biliary cholangitis (PBC). • CircRNAs contribute to the development of autoimmune diseases by acting as miRNA sponges to regulate many biological processes, including DNA methylation, immune response, and inflammatory response. • Certain circRNAs, such as cia-cGAS and dsRNA-containing circRNAs, may act as potential targets for the treatment of autoimmune diseases.

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“…Using circRNA microarray analysis, they compared the expression profiles of SLE patients with healthy controls and identified 348 circRNAs dysregulated—184 circRNAs upregulated and 164 downregulated. Additional analysis demonstrated that the levels of the circ_0057762 and circ_0003090 could be used for SLE diagnosis [ 58 ].…”

Section: Role Of Ncrnas In Systemic Lupus Erythematosusmentioning

confidence: 99%

Long Noncoding RNAs and Circular RNAs in Autoimmune Diseases

et al. 2020

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Immune responses are essential for the clearance of pathogens and the repair of injured tissues; however, if these responses are not properly controlled, autoimmune diseases can occur. Autoimmune diseases (ADs) are a family of disorders characterized by the body’s immune response being directed against its own tissues, with consequent chronic inflammation and tissue damage. Despite enormous efforts to identify new drug targets and develop new therapies to prevent and ameliorate AD symptoms, no definitive solutions are available today. Additionally, while substantial progress has been made in drug development for some ADs, most treatments only ameliorate symptoms and, in general, ADs are still incurable. Hundreds of genetic loci have been identified and associated with ADs by genome-wide association studies. However, the whole list of molecular factors that contribute to AD pathogenesis is still unknown. Noncoding (nc)RNAs, such as microRNAs, circular (circ)RNAs, and long noncoding (lnc)RNAs, regulate gene expression at different levels in various diseases, including ADs, and serve as potential drug targets as well as biomarkers for disease progression and response to therapy. In this review, we will focus on the potential roles and genetic regulation of ncRNA in four autoimmune diseases—systemic lupus erythematosus, rheumatoid arthritis, multiple sclerosis, and type 1 diabetes mellitus.

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Microarray expression profile of circular RNAs and mRNAs in children with systemic lupus erythematosus

Cited by 34 publications

References 53 publications

Expression profile and diagnostic value of circRNAs in peripheral blood from patients with systemic lupus erythematosus

Expression profile and diagnostic value of circRNAs in peripheral blood from patients with systemic lupus erythematosus

Roles of circular RNAs in immune regulation and autoimmune diseases

Long Noncoding RNAs and Circular RNAs in Autoimmune Diseases

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