Expression profile of circRNA in peripheral blood mononuclear cells of patients with rheumatoid arthritis

Abstract Background Circular RNAs (circRNAs) is a newly discovered non-coding RNA that can be used as biomarkers in clinical blood samples. This study aims to screen differentially expressed circular RNAs in PBMCs of patients with rheumatoid arthritis (RA) to determine new biomarkers for the diagnos...

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Main Authors: Huangxin Lu, Yifan Yang, Dong Kuang, Ping Liu, Junping Yang
Format: Article
Language:English
Published: BMC 2022-04-01
Series:BMC Medical Genomics
Subjects:
Online Access:https://doi.org/10.1186/s12920-022-01225-9
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author Huangxin Lu
Yifan Yang
Dong Kuang
Ping Liu
Junping Yang
author_facet Huangxin Lu
Yifan Yang
Dong Kuang
Ping Liu
Junping Yang
author_sort Huangxin Lu
collection DOAJ
description Abstract Background Circular RNAs (circRNAs) is a newly discovered non-coding RNA that can be used as biomarkers in clinical blood samples. This study aims to screen differentially expressed circular RNAs in PBMCs of patients with rheumatoid arthritis (RA) to determine new biomarkers for the diagnosis of RA. Methods The differentially expressed circRNAs in peripheral blood mononuclear cells (PBMCs) of 4 RA patients and 4 healthy participants were screened and analyzed by gene microarray technology. We then validated some of the differentially expressed circRNAs in PBMCs of 20 RA patients, 10 systemic lupus erythematosus (SLE) patients and 20 healthy participants using reverse transcription-quantitative polymerase chain reaction amplification (RT-qPCR). Spearman correlation test was performed to analyze the correlation between differentially expressed circRNAs and clinical variables in RA patients. Receiver operating characteristic (ROC) curves were calculated to evaluate the diagnostic value of circRNAs. Results Differential analysis obtained 149 circRNAs with significant up-regulated expression and 250 circRNAs with significant down-regulated expression, which predicted the miRNA targets and binding sites. Compared with SLE and health control group, hsa_circ_101328 was found to be a common gene with differential expression of RA. Besides, correlation analysis revealed significant correlation between hsa_circ_101328 and positive CRP. ROC curve analysis showed that hsa_circ_101328 has the potential of RA diagnosis. Conclusion We identified some dysregulated circRNAs in PBMCs from RA patients, and hsa_circ_101328 may be a novel and effective biomarker for early diagnosis of RA.
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spelling doaj.art-6ef9b6552f854c7eab120420825834e12022-12-22T03:03:03ZengBMCBMC Medical Genomics1755-87942022-04-0115111310.1186/s12920-022-01225-9Expression profile of circRNA in peripheral blood mononuclear cells of patients with rheumatoid arthritisHuangxin Lu0Yifan Yang1Dong Kuang2Ping Liu3Junping Yang4Jiangxi University of Chinese MedicineShandong University of Traditional Chinese MedicineJiangxi University of Chinese MedicineNanchang UniversityAffiliated Hospital of Jiangxi University of Traditional Chinese MedicineAbstract Background Circular RNAs (circRNAs) is a newly discovered non-coding RNA that can be used as biomarkers in clinical blood samples. This study aims to screen differentially expressed circular RNAs in PBMCs of patients with rheumatoid arthritis (RA) to determine new biomarkers for the diagnosis of RA. Methods The differentially expressed circRNAs in peripheral blood mononuclear cells (PBMCs) of 4 RA patients and 4 healthy participants were screened and analyzed by gene microarray technology. We then validated some of the differentially expressed circRNAs in PBMCs of 20 RA patients, 10 systemic lupus erythematosus (SLE) patients and 20 healthy participants using reverse transcription-quantitative polymerase chain reaction amplification (RT-qPCR). Spearman correlation test was performed to analyze the correlation between differentially expressed circRNAs and clinical variables in RA patients. Receiver operating characteristic (ROC) curves were calculated to evaluate the diagnostic value of circRNAs. Results Differential analysis obtained 149 circRNAs with significant up-regulated expression and 250 circRNAs with significant down-regulated expression, which predicted the miRNA targets and binding sites. Compared with SLE and health control group, hsa_circ_101328 was found to be a common gene with differential expression of RA. Besides, correlation analysis revealed significant correlation between hsa_circ_101328 and positive CRP. ROC curve analysis showed that hsa_circ_101328 has the potential of RA diagnosis. Conclusion We identified some dysregulated circRNAs in PBMCs from RA patients, and hsa_circ_101328 may be a novel and effective biomarker for early diagnosis of RA.https://doi.org/10.1186/s12920-022-01225-9Rheumatoid arthritisCircular RNABiomarkerMicroarray chipsHsa_circRNA_101328
spellingShingle Huangxin Lu
Yifan Yang
Dong Kuang
Ping Liu
Junping Yang
Expression profile of circRNA in peripheral blood mononuclear cells of patients with rheumatoid arthritis
BMC Medical Genomics
Rheumatoid arthritis
Circular RNA
Biomarker
Microarray chips
Hsa_circRNA_101328
title Expression profile of circRNA in peripheral blood mononuclear cells of patients with rheumatoid arthritis
title_full Expression profile of circRNA in peripheral blood mononuclear cells of patients with rheumatoid arthritis
title_fullStr Expression profile of circRNA in peripheral blood mononuclear cells of patients with rheumatoid arthritis
title_full_unstemmed Expression profile of circRNA in peripheral blood mononuclear cells of patients with rheumatoid arthritis
title_short Expression profile of circRNA in peripheral blood mononuclear cells of patients with rheumatoid arthritis
title_sort expression profile of circrna in peripheral blood mononuclear cells of patients with rheumatoid arthritis
topic Rheumatoid arthritis
Circular RNA
Biomarker
Microarray chips
Hsa_circRNA_101328
url https://doi.org/10.1186/s12920-022-01225-9
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AT dongkuang expressionprofileofcircrnainperipheralbloodmononuclearcellsofpatientswithrheumatoidarthritis
AT pingliu expressionprofileofcircrnainperipheralbloodmononuclearcellsofpatientswithrheumatoidarthritis
AT junpingyang expressionprofileofcircrnainperipheralbloodmononuclearcellsofpatientswithrheumatoidarthritis