Expression Profile and Potential Function of Circular RNAs in Peripheral Blood Mononuclear Cells in Male Patients With Primary Gout

Circular RNAs (circRNAs) are non-coding RNAs (ncRNAs) with a single-stranded covalently closed-loop structure, and their abnormal expression may participate in the pathogenesis of various human diseases. Currently, knowledge of circRNAs in gout is limited. In this case-control study, human circRNA m...

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Main Authors: Fei Dai, Quan-Bo Zhang, Yi-Ping Tang, Yi-Xi He, Ting Yi, Yu-Feng Qing
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2021.728091/full
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author Fei Dai
Fei Dai
Quan-Bo Zhang
Quan-Bo Zhang
Yi-Ping Tang
Yi-Ping Tang
Yi-Xi He
Yi-Xi He
Ting Yi
Ting Yi
Yu-Feng Qing
Yu-Feng Qing
author_facet Fei Dai
Fei Dai
Quan-Bo Zhang
Quan-Bo Zhang
Yi-Ping Tang
Yi-Ping Tang
Yi-Xi He
Yi-Xi He
Ting Yi
Ting Yi
Yu-Feng Qing
Yu-Feng Qing
author_sort Fei Dai
collection DOAJ
description Circular RNAs (circRNAs) are non-coding RNAs (ncRNAs) with a single-stranded covalently closed-loop structure, and their abnormal expression may participate in the pathogenesis of various human diseases. Currently, knowledge of circRNAs in gout is limited. In this case-control study, human circRNA microarrays were used to identify differentially expressed circRNAs in peripheral blood mononuclear cells (PBMCs) from patients with primary gout (n = 5) and healthy controls (HC; n = 3). Bioinformatics methods were used to analyze significantly different circRNAs (fold change >1.5, p < 0.05). In addition, four significantly differentially expressed circRNAs were selected for quantitative real-time polymerase chain reaction to detect expression levels in 90 gout patients and 60 HC. Subsequently, circRNA-miRNA-mRNA network was established to predict the function of circRNAs of interest. Microarray analysis indicated that 238 circRNAs were upregulated and 41 circRNAs were down-regulated in the gout group (fold change >1.5, p < 0.05). Bioinformatics analysis showed that differentially expressed circRNAs were involved in the pathogenesis of gout via various pathways. Moreover, the expression levels of hsa_circRNA_103657 and hsa_circRNA_000241 were significantly higher in the gout group than those in the HC group, and both correlated significantly with lipid metabolism parameters. Furthermore, the area under the curve of hsa_circRNA_103657 was 0.801 (95% confidence interval (CI): 0.730–0.871; p < 0.001). Our results provide novel insights into the pathogenesis of primary gout. Differentially expressed circRNAs were identified in the PBMCs of gout patients, and these differential circRNAs may play important roles in the development and progression of gout.
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spelling doaj.art-4eaea5d6c3be454381b73786061e9dbc2022-12-21T22:37:10ZengFrontiers Media S.A.Frontiers in Genetics1664-80212021-10-011210.3389/fgene.2021.728091728091Expression Profile and Potential Function of Circular RNAs in Peripheral Blood Mononuclear Cells in Male Patients With Primary GoutFei Dai0Fei Dai1Quan-Bo Zhang2Quan-Bo Zhang3Yi-Ping Tang4Yi-Ping Tang5Yi-Xi He6Yi-Xi He7Ting Yi8Ting Yi9Yu-Feng Qing10Yu-Feng Qing11Research Center of Hyperuricemia and Gout, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, Nanchong, ChinaDepartment of Rheumatology and Immunology, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, Nanchong, ChinaResearch Center of Hyperuricemia and Gout, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, Nanchong, ChinaDepartment of Geriatrics, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, Nanchong, ChinaResearch Center of Hyperuricemia and Gout, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, Nanchong, ChinaDepartment of Rheumatology and Immunology, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, Nanchong, ChinaResearch Center of Hyperuricemia and Gout, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, Nanchong, ChinaDepartment of Rheumatology and Immunology, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, Nanchong, ChinaResearch Center of Hyperuricemia and Gout, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, Nanchong, ChinaDepartment of Rheumatology and Immunology, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, Nanchong, ChinaResearch Center of Hyperuricemia and Gout, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, Nanchong, ChinaDepartment of Rheumatology and Immunology, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, Nanchong, ChinaCircular RNAs (circRNAs) are non-coding RNAs (ncRNAs) with a single-stranded covalently closed-loop structure, and their abnormal expression may participate in the pathogenesis of various human diseases. Currently, knowledge of circRNAs in gout is limited. In this case-control study, human circRNA microarrays were used to identify differentially expressed circRNAs in peripheral blood mononuclear cells (PBMCs) from patients with primary gout (n = 5) and healthy controls (HC; n = 3). Bioinformatics methods were used to analyze significantly different circRNAs (fold change >1.5, p < 0.05). In addition, four significantly differentially expressed circRNAs were selected for quantitative real-time polymerase chain reaction to detect expression levels in 90 gout patients and 60 HC. Subsequently, circRNA-miRNA-mRNA network was established to predict the function of circRNAs of interest. Microarray analysis indicated that 238 circRNAs were upregulated and 41 circRNAs were down-regulated in the gout group (fold change >1.5, p < 0.05). Bioinformatics analysis showed that differentially expressed circRNAs were involved in the pathogenesis of gout via various pathways. Moreover, the expression levels of hsa_circRNA_103657 and hsa_circRNA_000241 were significantly higher in the gout group than those in the HC group, and both correlated significantly with lipid metabolism parameters. Furthermore, the area under the curve of hsa_circRNA_103657 was 0.801 (95% confidence interval (CI): 0.730–0.871; p < 0.001). Our results provide novel insights into the pathogenesis of primary gout. Differentially expressed circRNAs were identified in the PBMCs of gout patients, and these differential circRNAs may play important roles in the development and progression of gout.https://www.frontiersin.org/articles/10.3389/fgene.2021.728091/fullgoutcircular RNAmicroarray analysisperipheral blood mononuclear cellsbiomarker
spellingShingle Fei Dai
Fei Dai
Quan-Bo Zhang
Quan-Bo Zhang
Yi-Ping Tang
Yi-Ping Tang
Yi-Xi He
Yi-Xi He
Ting Yi
Ting Yi
Yu-Feng Qing
Yu-Feng Qing
Expression Profile and Potential Function of Circular RNAs in Peripheral Blood Mononuclear Cells in Male Patients With Primary Gout
Frontiers in Genetics
gout
circular RNA
microarray analysis
peripheral blood mononuclear cells
biomarker
title Expression Profile and Potential Function of Circular RNAs in Peripheral Blood Mononuclear Cells in Male Patients With Primary Gout
title_full Expression Profile and Potential Function of Circular RNAs in Peripheral Blood Mononuclear Cells in Male Patients With Primary Gout
title_fullStr Expression Profile and Potential Function of Circular RNAs in Peripheral Blood Mononuclear Cells in Male Patients With Primary Gout
title_full_unstemmed Expression Profile and Potential Function of Circular RNAs in Peripheral Blood Mononuclear Cells in Male Patients With Primary Gout
title_short Expression Profile and Potential Function of Circular RNAs in Peripheral Blood Mononuclear Cells in Male Patients With Primary Gout
title_sort expression profile and potential function of circular rnas in peripheral blood mononuclear cells in male patients with primary gout
topic gout
circular RNA
microarray analysis
peripheral blood mononuclear cells
biomarker
url https://www.frontiersin.org/articles/10.3389/fgene.2021.728091/full
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