Transcriptome sequencing of circular RNA reveals the involvement of hsa‐SCMH1_0001 in the pathogenesis of Parkinson's disease

Background Parkinson's disease (PD) is the second most common neurodegenerative disease. Exosomes are endosome‐derived extracellular vesicles that can take part in intercellular communication. Circular RNAs (circRNAs) are noncoding RNAs characterized by covalently closed‐loop structures, which...

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Veröffentlicht in:CNS neuroscience & therapeutics 2024-03, Vol.30 (3), p.e14435-n/a
Hauptverfasser: Wang, Qiao, Wang, Huizhi, Zhao, Xuemin, Han, Chunlei, Liu, Chong, Li, Zhibao, Du, Tingting, Sui, Yunpeng, Zhang, Xin, Zhang, Jianguo, Xiao, Yilei, Cai, Guoen, Meng, Fangang
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container_issue 3
container_start_page e14435
container_title CNS neuroscience & therapeutics
container_volume 30
creator Wang, Qiao
Wang, Huizhi
Zhao, Xuemin
Han, Chunlei
Liu, Chong
Li, Zhibao
Du, Tingting
Sui, Yunpeng
Zhang, Xin
Zhang, Jianguo
Xiao, Yilei
Cai, Guoen
Meng, Fangang
description Background Parkinson's disease (PD) is the second most common neurodegenerative disease. Exosomes are endosome‐derived extracellular vesicles that can take part in intercellular communication. Circular RNAs (circRNAs) are noncoding RNAs characterized by covalently closed‐loop structures, which perform a crucial function in many diseases. Aim To clarify the expression and function of exosomal circRNSs of PD patients and look for circRNAs that might be related to the pathogenesis of PD. Materials and Methods We examined circRNA and mRNA expression profiles in peripheral exosomes from PD patients (n = 23) and healthy controls (n = 15) using next‐generation sequencing (NGS) technology, functional annotation, and quantitative polymerase chain reaction. Correlation analysis was performed between the expression levels of the circRNAs and the clinical characteristics of PD patients. The binding miRNAs and target genes were predicted using TargetScanHuman, miRDB, and miRTarBase. The predicted target genes were compared with the differentially expressed mRNAs in sequencing results. Results According to the NGS, 62 upregulated and 37 downregulated circRNAs in the PD group were screened out. Correlation analysis revealed that hsa‐SCMH1_0001 has strong clinical relevance. We identified 17 potential binding miRNAs of hsa‐SCMH1_0001 with 149 potential target genes. ARID1A and C1orf115 belong to the intersection of the predicted target genes and the differentially expressed mRNAs obtained by sequencing. Conclusion This study suggested that hsa‐SCMH1_0001 and its target genes ARID1A and C1orf115 are downregulated in PD patients and may be involved in the occurrence of PD. CircRNA expression profiles were examined in peripheral exosomes from PD patients and healthy controls using next‐generation sequencing. Ninety‐nine DEcircRNAs were screened out and three of them were selected for quantitative polymerase chain reaction. Correlation analysis revealed that hsa‐SCMH1_0001 has strong clinical relevance. Seventeen binding miRNAs of hsa‐SCMH1_0001 and 149 target genes including ARID1A and C1orf115 were predicted using multiple databases.
doi_str_mv 10.1111/cns.14435
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Exosomes are endosome‐derived extracellular vesicles that can take part in intercellular communication. Circular RNAs (circRNAs) are noncoding RNAs characterized by covalently closed‐loop structures, which perform a crucial function in many diseases. Aim To clarify the expression and function of exosomal circRNSs of PD patients and look for circRNAs that might be related to the pathogenesis of PD. Materials and Methods We examined circRNA and mRNA expression profiles in peripheral exosomes from PD patients (n = 23) and healthy controls (n = 15) using next‐generation sequencing (NGS) technology, functional annotation, and quantitative polymerase chain reaction. Correlation analysis was performed between the expression levels of the circRNAs and the clinical characteristics of PD patients. The binding miRNAs and target genes were predicted using TargetScanHuman, miRDB, and miRTarBase. The predicted target genes were compared with the differentially expressed mRNAs in sequencing results. Results According to the NGS, 62 upregulated and 37 downregulated circRNAs in the PD group were screened out. Correlation analysis revealed that hsa‐SCMH1_0001 has strong clinical relevance. We identified 17 potential binding miRNAs of hsa‐SCMH1_0001 with 149 potential target genes. ARID1A and C1orf115 belong to the intersection of the predicted target genes and the differentially expressed mRNAs obtained by sequencing. Conclusion This study suggested that hsa‐SCMH1_0001 and its target genes ARID1A and C1orf115 are downregulated in PD patients and may be involved in the occurrence of PD. CircRNA expression profiles were examined in peripheral exosomes from PD patients and healthy controls using next‐generation sequencing. Ninety‐nine DEcircRNAs were screened out and three of them were selected for quantitative polymerase chain reaction. Correlation analysis revealed that hsa‐SCMH1_0001 has strong clinical relevance. Seventeen binding miRNAs of hsa‐SCMH1_0001 and 149 target genes including ARID1A and C1orf115 were predicted using multiple databases.</description><identifier>ISSN: 1755-5930</identifier><identifier>ISSN: 1755-5949</identifier><identifier>EISSN: 1755-5949</identifier><identifier>DOI: 10.1111/cns.14435</identifier><identifier>PMID: 37664885</identifier><language>eng</language><publisher>England: John Wiley &amp; Sons, Inc</publisher><subject>Alzheimer's disease ; Analysis ; Antibodies ; Biomarkers ; Brain ; Circular RNA ; Correlation analysis ; Disease ; Diseases ; Down-regulation ; Endosomes ; Ethylenediaminetetraacetic acid ; Exosomes ; Extracellular vesicles ; Gene expression ; Genes ; Health savings accounts ; MicroRNA ; Movement disorders ; Nervous system ; Neurodegenerative diseases ; Next-generation sequencing ; Original ; Parkinson's disease ; Pathogenesis ; Software ; Transcriptomes</subject><ispartof>CNS neuroscience &amp; therapeutics, 2024-03, Vol.30 (3), p.e14435-n/a</ispartof><rights>2023 The Authors. published by John Wiley &amp; Sons Ltd.</rights><rights>2023 The Authors. CNS Neuroscience &amp; Therapeutics published by John Wiley &amp; Sons Ltd.</rights><rights>COPYRIGHT 2024 John Wiley &amp; Sons, Inc.</rights><rights>2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c4715-acfb09c9c0c2ab98a272624b8c983f8a0e5f854b27c5a2b237693ef83d2746293</cites><orcidid>0000-0002-0009-0574 ; 0000-0002-8577-6443 ; 0000-0001-7780-2480 ; 0000-0002-0180-1534</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10916443/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10916443/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,1411,11541,27901,27902,45550,45551,46027,46451,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37664885$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Qiao</creatorcontrib><creatorcontrib>Wang, Huizhi</creatorcontrib><creatorcontrib>Zhao, Xuemin</creatorcontrib><creatorcontrib>Han, Chunlei</creatorcontrib><creatorcontrib>Liu, Chong</creatorcontrib><creatorcontrib>Li, Zhibao</creatorcontrib><creatorcontrib>Du, Tingting</creatorcontrib><creatorcontrib>Sui, Yunpeng</creatorcontrib><creatorcontrib>Zhang, Xin</creatorcontrib><creatorcontrib>Zhang, Jianguo</creatorcontrib><creatorcontrib>Xiao, Yilei</creatorcontrib><creatorcontrib>Cai, Guoen</creatorcontrib><creatorcontrib>Meng, Fangang</creatorcontrib><title>Transcriptome sequencing of circular RNA reveals the involvement of hsa‐SCMH1_0001 in the pathogenesis of Parkinson's disease</title><title>CNS neuroscience &amp; therapeutics</title><addtitle>CNS Neurosci Ther</addtitle><description>Background Parkinson's disease (PD) is the second most common neurodegenerative disease. Exosomes are endosome‐derived extracellular vesicles that can take part in intercellular communication. Circular RNAs (circRNAs) are noncoding RNAs characterized by covalently closed‐loop structures, which perform a crucial function in many diseases. Aim To clarify the expression and function of exosomal circRNSs of PD patients and look for circRNAs that might be related to the pathogenesis of PD. Materials and Methods We examined circRNA and mRNA expression profiles in peripheral exosomes from PD patients (n = 23) and healthy controls (n = 15) using next‐generation sequencing (NGS) technology, functional annotation, and quantitative polymerase chain reaction. Correlation analysis was performed between the expression levels of the circRNAs and the clinical characteristics of PD patients. The binding miRNAs and target genes were predicted using TargetScanHuman, miRDB, and miRTarBase. The predicted target genes were compared with the differentially expressed mRNAs in sequencing results. Results According to the NGS, 62 upregulated and 37 downregulated circRNAs in the PD group were screened out. Correlation analysis revealed that hsa‐SCMH1_0001 has strong clinical relevance. We identified 17 potential binding miRNAs of hsa‐SCMH1_0001 with 149 potential target genes. ARID1A and C1orf115 belong to the intersection of the predicted target genes and the differentially expressed mRNAs obtained by sequencing. Conclusion This study suggested that hsa‐SCMH1_0001 and its target genes ARID1A and C1orf115 are downregulated in PD patients and may be involved in the occurrence of PD. CircRNA expression profiles were examined in peripheral exosomes from PD patients and healthy controls using next‐generation sequencing. Ninety‐nine DEcircRNAs were screened out and three of them were selected for quantitative polymerase chain reaction. Correlation analysis revealed that hsa‐SCMH1_0001 has strong clinical relevance. 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Wang, Huizhi ; Zhao, Xuemin ; Han, Chunlei ; Liu, Chong ; Li, Zhibao ; Du, Tingting ; Sui, Yunpeng ; Zhang, Xin ; Zhang, Jianguo ; Xiao, Yilei ; Cai, Guoen ; Meng, Fangang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4715-acfb09c9c0c2ab98a272624b8c983f8a0e5f854b27c5a2b237693ef83d2746293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Alzheimer's disease</topic><topic>Analysis</topic><topic>Antibodies</topic><topic>Biomarkers</topic><topic>Brain</topic><topic>Circular RNA</topic><topic>Correlation analysis</topic><topic>Disease</topic><topic>Diseases</topic><topic>Down-regulation</topic><topic>Endosomes</topic><topic>Ethylenediaminetetraacetic acid</topic><topic>Exosomes</topic><topic>Extracellular vesicles</topic><topic>Gene expression</topic><topic>Genes</topic><topic>Health savings accounts</topic><topic>MicroRNA</topic><topic>Movement disorders</topic><topic>Nervous system</topic><topic>Neurodegenerative diseases</topic><topic>Next-generation sequencing</topic><topic>Original</topic><topic>Parkinson's disease</topic><topic>Pathogenesis</topic><topic>Software</topic><topic>Transcriptomes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Qiao</creatorcontrib><creatorcontrib>Wang, Huizhi</creatorcontrib><creatorcontrib>Zhao, Xuemin</creatorcontrib><creatorcontrib>Han, Chunlei</creatorcontrib><creatorcontrib>Liu, Chong</creatorcontrib><creatorcontrib>Li, Zhibao</creatorcontrib><creatorcontrib>Du, Tingting</creatorcontrib><creatorcontrib>Sui, Yunpeng</creatorcontrib><creatorcontrib>Zhang, Xin</creatorcontrib><creatorcontrib>Zhang, Jianguo</creatorcontrib><creatorcontrib>Xiao, Yilei</creatorcontrib><creatorcontrib>Cai, Guoen</creatorcontrib><creatorcontrib>Meng, Fangang</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale Academic OneFile</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health &amp; 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therapeutics</jtitle><addtitle>CNS Neurosci Ther</addtitle><date>2024-03</date><risdate>2024</risdate><volume>30</volume><issue>3</issue><spage>e14435</spage><epage>n/a</epage><pages>e14435-n/a</pages><issn>1755-5930</issn><issn>1755-5949</issn><eissn>1755-5949</eissn><abstract>Background Parkinson's disease (PD) is the second most common neurodegenerative disease. Exosomes are endosome‐derived extracellular vesicles that can take part in intercellular communication. Circular RNAs (circRNAs) are noncoding RNAs characterized by covalently closed‐loop structures, which perform a crucial function in many diseases. Aim To clarify the expression and function of exosomal circRNSs of PD patients and look for circRNAs that might be related to the pathogenesis of PD. Materials and Methods We examined circRNA and mRNA expression profiles in peripheral exosomes from PD patients (n = 23) and healthy controls (n = 15) using next‐generation sequencing (NGS) technology, functional annotation, and quantitative polymerase chain reaction. Correlation analysis was performed between the expression levels of the circRNAs and the clinical characteristics of PD patients. The binding miRNAs and target genes were predicted using TargetScanHuman, miRDB, and miRTarBase. The predicted target genes were compared with the differentially expressed mRNAs in sequencing results. Results According to the NGS, 62 upregulated and 37 downregulated circRNAs in the PD group were screened out. Correlation analysis revealed that hsa‐SCMH1_0001 has strong clinical relevance. We identified 17 potential binding miRNAs of hsa‐SCMH1_0001 with 149 potential target genes. ARID1A and C1orf115 belong to the intersection of the predicted target genes and the differentially expressed mRNAs obtained by sequencing. Conclusion This study suggested that hsa‐SCMH1_0001 and its target genes ARID1A and C1orf115 are downregulated in PD patients and may be involved in the occurrence of PD. CircRNA expression profiles were examined in peripheral exosomes from PD patients and healthy controls using next‐generation sequencing. Ninety‐nine DEcircRNAs were screened out and three of them were selected for quantitative polymerase chain reaction. Correlation analysis revealed that hsa‐SCMH1_0001 has strong clinical relevance. Seventeen binding miRNAs of hsa‐SCMH1_0001 and 149 target genes including ARID1A and C1orf115 were predicted using multiple databases.</abstract><cop>England</cop><pub>John Wiley &amp; Sons, Inc</pub><pmid>37664885</pmid><doi>10.1111/cns.14435</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-0009-0574</orcidid><orcidid>https://orcid.org/0000-0002-8577-6443</orcidid><orcidid>https://orcid.org/0000-0001-7780-2480</orcidid><orcidid>https://orcid.org/0000-0002-0180-1534</orcidid><oa>free_for_read</oa></addata></record>
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subjects Alzheimer's disease
Analysis
Antibodies
Biomarkers
Brain
Circular RNA
Correlation analysis
Disease
Diseases
Down-regulation
Endosomes
Ethylenediaminetetraacetic acid
Exosomes
Extracellular vesicles
Gene expression
Genes
Health savings accounts
MicroRNA
Movement disorders
Nervous system
Neurodegenerative diseases
Next-generation sequencing
Original
Parkinson's disease
Pathogenesis
Software
Transcriptomes
title Transcriptome sequencing of circular RNA reveals the involvement of hsa‐SCMH1_0001 in the pathogenesis of Parkinson's disease
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