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Comprehensive circRNAs expression profiling reveals the potential role of circRNAs in systemic lupus erythematosus [Human circRNA Array v2.0]

ABSTRACT: CircRNAs are novel non-coding RNAs which can serve as microRNA sponge and regulate gene transcription through promoting expression of their parent genes or competing with splicing of their parent genes. Moveover, there is increasing evidence showing that aberrant expressions of circRNAs are implicated in various cancers. Yet, their roles in systemic lupus erythematosus (SLE), a prototypical autoimmune disease, remain unknown. To reveal the implications of circRNAs in SLE, we used Human circRNA Array v2.0 microarrays to measure the expression profiles of circRNAs in T cells of patients with SLE and healthy controls. We found 129 differentially expressed circRNAs (fold change >2; P <0.05) in SLE patients compared with controls. Home-made computer program based on TargetScan and miRanda was applied to predict miRNA targets of circRNAs and identify 5 miRNAs with the highest mirSVR score for each circRNA.Downregulation of circRNA hsa_circ_0045272 was established using Real-time quantitative PCR. These results showed abrrant expression profiles of circRNAs in T cells of SLE patients and revealed their potential role in SLE.

ORGANISM(S): Homo sapiens

PROVIDER: GSE84655 | GEO | 2018/07/17

REPOSITORIES: GEO

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Project description:Background: Circular RNA (circRNA) has been reported to be involved in the pathogenesis of cardiovascular disease (CVD), however, it is unclear whether circRNA carried by exosomes (exos) can be used as biomarkers for chronic coronary syndrome (CCS). This study aimed to investigate the expression pattern of exosomal circRNAs in the plasma of CCS patients, and to screen exo-circRNAs that can act as biomarkers for the diagnosis of CCS. Methods: High-throughput sequencing technology was carried out in the plasma exosomal RNA of 15 CCS patients and 15 non-cardiac chest pain patients (NCCP, control group) (sequencing cohort) to screen for differentially expressed circRNAs. Selected differentially expressed exo-circRNAs were further verified by real time polymerase chain reaction (RT-PCR) in a small-sample cohort (derivation cohort) and a large-sample cohort (validation cohort). Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic value of exo-circRNAs for CCS patients. Results: By high-throughput sequencing of circRNAs in 15 CCS patients and 15 NCCP patients, 276 circRNAs differentially expressed in plasma exosomes of CCS patients were screened by using |log2(Fold change) |>1 and q-value<0.001, and 103 were up-regulated and 173 were down-regulated. Among the 103 up-regulated circRNAs, 5 circRNAs with high expression levels and significantly increased in plasma exosomes of CCS patients were selected for validation. Twice RT-PCR validation demonstrated that exo-hsa_circ_0075269 and exo-hsa_circ_0000284 were significantly up-regulated in patients with CCS (P<0.001). Circulating exo-hsa_circ_0075269 and exo-hsa_circ_0000284 yielded the area under the curve (AUC) values of 0.761 (P<0.001, 95%CI=0.669, 0.852) and 0.623 (P=0.015, 95%CI=0.522, 0.724) for CCS, respectively by ROC curve analysis. Moreover, AUC of hsa_circ_0075269 combined with hsa_circ_0000284 for diagnosing CCS was 0.741 (P<0.001, 95%CI=0.667, 0.850). Conclusion: The expression profile of circRNA in plasma exosomes of patients with CCS was significantly different from that of the control group. Plasma exo-hsa_circ_0075269 and exo-hsa_circ_0000284 have the potential to be new biomarkers for CCS diagnosis.

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Comprehensive circRNAs expression profiling reveals the potential role of circRNAs in systemic lupus erythematosus [Human circRNA Array v2.0]

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