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Involvement of CircRNA Expression Profile in Diabetic Retinopathy and Its Potential Diagnostic Value

Background: Circular RNAs (circRNAs), a class of non-coding and undegradable RNAs, play many pathological functions by acting as miRNA sponges, interacting with RNA-binding proteins, and others. The recent literature indicates that circRNAs possess the advanced superiority for the early screening of...

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Autores principales: He, Hengqian, Zhang, Juntao, Gong, Weikun, Liu, Mengyun, Liu, Hao, Li, Xiaoyong, Wu, Yufei, Lu, Qinkang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891611/
https://www.ncbi.nlm.nih.gov/pubmed/35251136
http://dx.doi.org/10.3389/fgene.2022.833573
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author He, Hengqian
Zhang, Juntao
Gong, Weikun
Liu, Mengyun
Liu, Hao
Li, Xiaoyong
Wu, Yufei
Lu, Qinkang
author_facet He, Hengqian
Zhang, Juntao
Gong, Weikun
Liu, Mengyun
Liu, Hao
Li, Xiaoyong
Wu, Yufei
Lu, Qinkang
author_sort He, Hengqian
collection PubMed
description Background: Circular RNAs (circRNAs), a class of non-coding and undegradable RNAs, play many pathological functions by acting as miRNA sponges, interacting with RNA-binding proteins, and others. The recent literature indicates that circRNAs possess the advanced superiority for the early screening of diabetic retinopathy (DR). Methods: CircRNA sources of peripheral blood mononuclear cells (PBMCs) from healthy controls (n = 4), diabetes mellitus patients (DM) (n = 4), and DR patients (n = 4) were extracted for circular RNA microarray analysis. Enriched biological modules and signaling pathways were analyzed by Gene Ontology Enrichment and Kyoto Encyclopedia of Genes and Genomes analysis, respectively. Real-time quantitative reverse transcription PCR (RT-qPCR) was performed to validate differentiated levels of several circRNAs (fold change ≥2, p < .05) in different groups of healthy control subjects (n = 20), DM patients (n = 60), and DR patients (n = 42). Based on our clinical data from DR, the diagnostic performance of candidate circRNAs was measured by operating characteristic curves (ROCs). Subsequently, their circRNA–miRNA networks were constructed by bioinformatics analysis. Results: Circular RNA microarray analysis was performed, and 2,452 and 289 circRNAs were screened with differential expression in DR patients compared to healthy controls and DM patients, respectively. Enrichment analyses showed that circRNAs in DR patients were enriched in extracellular matrix (ECM)–receptor interaction and focal adhesion pathways. The top 5 differential circRNAs in circRNA microarray analysis were subsequently quantified and verified by RT-qPCR. Consistently, a significant 2.2-fold reduction of hsa_circ_0095008 and 1.7-fold increase in hsa_circ_0001883 were identified in DR patients compared to DM patients. Meanwhile, the area under curves of hsa_circ_0095008 and hsa_circ_0001883 were 0.6710 (95% CI, 0.5646–0.7775) (p = 0.003399) and 0.6071 (95% CI, 0.4953–0.7189) (p = 0.06644), respectively, indicating a good diagnostic value. Conclusion: Our study provided a new sight for the pathological mechanism of DR and revealed the potential value of hsa_circ_0095008 and hsa_circ_0001883 as diagnostic biomarkers for the early diagnosis of DR patients.
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spelling pubmed-88916112022-03-04 Involvement of CircRNA Expression Profile in Diabetic Retinopathy and Its Potential Diagnostic Value He, Hengqian Zhang, Juntao Gong, Weikun Liu, Mengyun Liu, Hao Li, Xiaoyong Wu, Yufei Lu, Qinkang Front Genet Genetics Background: Circular RNAs (circRNAs), a class of non-coding and undegradable RNAs, play many pathological functions by acting as miRNA sponges, interacting with RNA-binding proteins, and others. The recent literature indicates that circRNAs possess the advanced superiority for the early screening of diabetic retinopathy (DR). Methods: CircRNA sources of peripheral blood mononuclear cells (PBMCs) from healthy controls (n = 4), diabetes mellitus patients (DM) (n = 4), and DR patients (n = 4) were extracted for circular RNA microarray analysis. Enriched biological modules and signaling pathways were analyzed by Gene Ontology Enrichment and Kyoto Encyclopedia of Genes and Genomes analysis, respectively. Real-time quantitative reverse transcription PCR (RT-qPCR) was performed to validate differentiated levels of several circRNAs (fold change ≥2, p < .05) in different groups of healthy control subjects (n = 20), DM patients (n = 60), and DR patients (n = 42). Based on our clinical data from DR, the diagnostic performance of candidate circRNAs was measured by operating characteristic curves (ROCs). Subsequently, their circRNA–miRNA networks were constructed by bioinformatics analysis. Results: Circular RNA microarray analysis was performed, and 2,452 and 289 circRNAs were screened with differential expression in DR patients compared to healthy controls and DM patients, respectively. Enrichment analyses showed that circRNAs in DR patients were enriched in extracellular matrix (ECM)–receptor interaction and focal adhesion pathways. The top 5 differential circRNAs in circRNA microarray analysis were subsequently quantified and verified by RT-qPCR. Consistently, a significant 2.2-fold reduction of hsa_circ_0095008 and 1.7-fold increase in hsa_circ_0001883 were identified in DR patients compared to DM patients. Meanwhile, the area under curves of hsa_circ_0095008 and hsa_circ_0001883 were 0.6710 (95% CI, 0.5646–0.7775) (p = 0.003399) and 0.6071 (95% CI, 0.4953–0.7189) (p = 0.06644), respectively, indicating a good diagnostic value. Conclusion: Our study provided a new sight for the pathological mechanism of DR and revealed the potential value of hsa_circ_0095008 and hsa_circ_0001883 as diagnostic biomarkers for the early diagnosis of DR patients. Frontiers Media S.A. 2022-02-17 /pmc/articles/PMC8891611/ /pubmed/35251136 http://dx.doi.org/10.3389/fgene.2022.833573 Text en Copyright © 2022 He, Zhang, Gong, Liu, Liu, Li, Wu and Lu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
He, Hengqian
Zhang, Juntao
Gong, Weikun
Liu, Mengyun
Liu, Hao
Li, Xiaoyong
Wu, Yufei
Lu, Qinkang
Involvement of CircRNA Expression Profile in Diabetic Retinopathy and Its Potential Diagnostic Value
title Involvement of CircRNA Expression Profile in Diabetic Retinopathy and Its Potential Diagnostic Value
title_full Involvement of CircRNA Expression Profile in Diabetic Retinopathy and Its Potential Diagnostic Value
title_fullStr Involvement of CircRNA Expression Profile in Diabetic Retinopathy and Its Potential Diagnostic Value
title_full_unstemmed Involvement of CircRNA Expression Profile in Diabetic Retinopathy and Its Potential Diagnostic Value
title_short Involvement of CircRNA Expression Profile in Diabetic Retinopathy and Its Potential Diagnostic Value
title_sort involvement of circrna expression profile in diabetic retinopathy and its potential diagnostic value
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891611/
https://www.ncbi.nlm.nih.gov/pubmed/35251136
http://dx.doi.org/10.3389/fgene.2022.833573
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