Plasma exosomal miR‐106a‐5p expression in myasthenia gravis
Background Exosomal miRNA expression for myasthenia gravis (MG) has not been studied. Methods Plasma samples from 92 patients with MG and 49 age‐matched healthy controls (HCs) were screened (by means of deep sequencing and quantitative real‐time polymerase chain reaction) for differentially expresse...
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| Veröffentlicht in: | Muscle & nerve 2020-03, Vol.61 (3), p.401-407 |
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| creator | Xu, Hongyan Bao, Zhuohua Liang, Daye Li, Mengxia Wei, Minguang Ge, Xueqing Liu, Jingli Li, Jinpin |
| description | Background
Exosomal miRNA expression for myasthenia gravis (MG) has not been studied.
Methods
Plasma samples from 92 patients with MG and 49 age‐matched healthy controls (HCs) were screened (by means of deep sequencing and quantitative real‐time polymerase chain reaction) for differentially expressed exosomal microRNA (miRNAs). miR‐106a‐5p was chosen to further verify because it is reportedly involved in MG pathogenesis. Spearman's correlation analysis was used to assess correlations between candidate miRNAs and patient quantitative MG scores (QMGSs). Area under the curve (AUC) of the receiver operating characteristic analysis was used to evaluate the diagnostic accuracy of the identified miRNAs for MG.
Results
miR‐106a‐5p levels were significantly decreased in MG patients compared with HCs, and were associated with patient QMGS. The AUC values for hsa‐miR‐106a‐5p were 0.728 and 0.813 in ocular and generalized MG patients, respectively.
Conclusions
Exosomal miR‐106a‐5p was expressed differently in different types of MG and was associated with MG severity. |
| doi_str_mv | 10.1002/mus.26785 |
| format | Article |
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Exosomal miRNA expression for myasthenia gravis (MG) has not been studied.
Methods
Plasma samples from 92 patients with MG and 49 age‐matched healthy controls (HCs) were screened (by means of deep sequencing and quantitative real‐time polymerase chain reaction) for differentially expressed exosomal microRNA (miRNAs). miR‐106a‐5p was chosen to further verify because it is reportedly involved in MG pathogenesis. Spearman's correlation analysis was used to assess correlations between candidate miRNAs and patient quantitative MG scores (QMGSs). Area under the curve (AUC) of the receiver operating characteristic analysis was used to evaluate the diagnostic accuracy of the identified miRNAs for MG.
Results
miR‐106a‐5p levels were significantly decreased in MG patients compared with HCs, and were associated with patient QMGS. The AUC values for hsa‐miR‐106a‐5p were 0.728 and 0.813 in ocular and generalized MG patients, respectively.
Conclusions
Exosomal miR‐106a‐5p was expressed differently in different types of MG and was associated with MG severity.</description><identifier>ISSN: 0148-639X</identifier><identifier>EISSN: 1097-4598</identifier><identifier>DOI: 10.1002/mus.26785</identifier><identifier>PMID: 31889318</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Adult ; Correlation analysis ; deep sequencing ; Diagnostic systems ; exosome ; Exosomes - metabolism ; Exosomes - ultrastructure ; Female ; Humans ; Male ; microRNA ; MicroRNAs ; MicroRNAs - blood ; miRNA ; Myasthenia ; Myasthenia gravis ; Myasthenia Gravis - blood ; Myasthenia Gravis - diagnosis ; Neuromuscular junctions ; Pathogenesis ; Patients ; PCR ; Polymerase chain reaction ; Real-Time Polymerase Chain Reaction ; Ribonucleic acid ; RNA ; Sampling methods ; Sensitivity and Specificity ; Severity of Illness Index</subject><ispartof>Muscle & nerve, 2020-03, Vol.61 (3), p.401-407</ispartof><rights>2020 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3535-5086d4c33004dc166a82bc609cc6372a02bab6f632eeafe6c2b2f7ce323fbb63</citedby><cites>FETCH-LOGICAL-c3535-5086d4c33004dc166a82bc609cc6372a02bab6f632eeafe6c2b2f7ce323fbb63</cites><orcidid>0000-0001-7291-0458</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fmus.26785$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fmus.26785$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,778,782,1414,27907,27908,45557,45558</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31889318$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Xu, Hongyan</creatorcontrib><creatorcontrib>Bao, Zhuohua</creatorcontrib><creatorcontrib>Liang, Daye</creatorcontrib><creatorcontrib>Li, Mengxia</creatorcontrib><creatorcontrib>Wei, Minguang</creatorcontrib><creatorcontrib>Ge, Xueqing</creatorcontrib><creatorcontrib>Liu, Jingli</creatorcontrib><creatorcontrib>Li, Jinpin</creatorcontrib><title>Plasma exosomal miR‐106a‐5p expression in myasthenia gravis</title><title>Muscle & nerve</title><addtitle>Muscle Nerve</addtitle><description>Background
Exosomal miRNA expression for myasthenia gravis (MG) has not been studied.
Methods
Plasma samples from 92 patients with MG and 49 age‐matched healthy controls (HCs) were screened (by means of deep sequencing and quantitative real‐time polymerase chain reaction) for differentially expressed exosomal microRNA (miRNAs). miR‐106a‐5p was chosen to further verify because it is reportedly involved in MG pathogenesis. Spearman's correlation analysis was used to assess correlations between candidate miRNAs and patient quantitative MG scores (QMGSs). Area under the curve (AUC) of the receiver operating characteristic analysis was used to evaluate the diagnostic accuracy of the identified miRNAs for MG.
Results
miR‐106a‐5p levels were significantly decreased in MG patients compared with HCs, and were associated with patient QMGS. The AUC values for hsa‐miR‐106a‐5p were 0.728 and 0.813 in ocular and generalized MG patients, respectively.
Conclusions
Exosomal miR‐106a‐5p was expressed differently in different types of MG and was associated with MG severity.</description><subject>Adult</subject><subject>Correlation analysis</subject><subject>deep sequencing</subject><subject>Diagnostic systems</subject><subject>exosome</subject><subject>Exosomes - metabolism</subject><subject>Exosomes - ultrastructure</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>microRNA</subject><subject>MicroRNAs</subject><subject>MicroRNAs - blood</subject><subject>miRNA</subject><subject>Myasthenia</subject><subject>Myasthenia gravis</subject><subject>Myasthenia Gravis - blood</subject><subject>Myasthenia Gravis - diagnosis</subject><subject>Neuromuscular junctions</subject><subject>Pathogenesis</subject><subject>Patients</subject><subject>PCR</subject><subject>Polymerase chain reaction</subject><subject>Real-Time Polymerase Chain Reaction</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>Sampling methods</subject><subject>Sensitivity and Specificity</subject><subject>Severity of Illness Index</subject><issn>0148-639X</issn><issn>1097-4598</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kE9LwzAUwIMobk4PfgEpeNFDt5ekSdOTyPAfTBSd4K2kWaodTVuTVd3Nj-Bn9JOY0elB8PLe4f348fghtI9hiAHIyLRuSHgs2AbqY0jiMGKJ2ER9wJEIOU0ee2jHuTkAYMHjbdSjWIjEjz46uS2lMzLQ77WrjSwDU9x9fXxi4NIv1vhDY7VzRV0FRRWYpXSLZ10VMniy8rVwu2grl6XTe-s9QNPzs-n4MpzcXFyNTyehooyykIHgs0hRChDNFOZcCpIpDolSnMZEAslkxnNOidYy11yRjOSx0pTQPMs4HaCjTtvY-qXVbpGawildlrLSdetSQinmNMIMe_TwDzqvW1v55zzFmE8CCfHUcUcpWztndZ42tjDSLlMM6SpqalbaVVTPHqyNbWb07Jf8qeiBUQe8FaVe_m9Krx_uO-U3fLiBhA</recordid><startdate>202003</startdate><enddate>202003</enddate><creator>Xu, Hongyan</creator><creator>Bao, Zhuohua</creator><creator>Liang, Daye</creator><creator>Li, Mengxia</creator><creator>Wei, Minguang</creator><creator>Ge, Xueqing</creator><creator>Liu, Jingli</creator><creator>Li, Jinpin</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7TS</scope><scope>7U7</scope><scope>7U9</scope><scope>C1K</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-7291-0458</orcidid></search><sort><creationdate>202003</creationdate><title>Plasma exosomal miR‐106a‐5p expression in myasthenia gravis</title><author>Xu, Hongyan ; Bao, Zhuohua ; Liang, Daye ; Li, Mengxia ; Wei, Minguang ; Ge, Xueqing ; Liu, Jingli ; Li, Jinpin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3535-5086d4c33004dc166a82bc609cc6372a02bab6f632eeafe6c2b2f7ce323fbb63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Correlation analysis</topic><topic>deep sequencing</topic><topic>Diagnostic systems</topic><topic>exosome</topic><topic>Exosomes - metabolism</topic><topic>Exosomes - ultrastructure</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>microRNA</topic><topic>MicroRNAs</topic><topic>MicroRNAs - blood</topic><topic>miRNA</topic><topic>Myasthenia</topic><topic>Myasthenia gravis</topic><topic>Myasthenia Gravis - blood</topic><topic>Myasthenia Gravis - diagnosis</topic><topic>Neuromuscular junctions</topic><topic>Pathogenesis</topic><topic>Patients</topic><topic>PCR</topic><topic>Polymerase chain reaction</topic><topic>Real-Time Polymerase Chain Reaction</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>Sampling methods</topic><topic>Sensitivity and Specificity</topic><topic>Severity of Illness Index</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Hongyan</creatorcontrib><creatorcontrib>Bao, Zhuohua</creatorcontrib><creatorcontrib>Liang, Daye</creatorcontrib><creatorcontrib>Li, Mengxia</creatorcontrib><creatorcontrib>Wei, Minguang</creatorcontrib><creatorcontrib>Ge, Xueqing</creatorcontrib><creatorcontrib>Liu, Jingli</creatorcontrib><creatorcontrib>Li, Jinpin</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Physical Education Index</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Muscle & nerve</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Hongyan</au><au>Bao, Zhuohua</au><au>Liang, Daye</au><au>Li, Mengxia</au><au>Wei, Minguang</au><au>Ge, Xueqing</au><au>Liu, Jingli</au><au>Li, Jinpin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Plasma exosomal miR‐106a‐5p expression in myasthenia gravis</atitle><jtitle>Muscle & nerve</jtitle><addtitle>Muscle Nerve</addtitle><date>2020-03</date><risdate>2020</risdate><volume>61</volume><issue>3</issue><spage>401</spage><epage>407</epage><pages>401-407</pages><issn>0148-639X</issn><eissn>1097-4598</eissn><abstract>Background
Exosomal miRNA expression for myasthenia gravis (MG) has not been studied.
Methods
Plasma samples from 92 patients with MG and 49 age‐matched healthy controls (HCs) were screened (by means of deep sequencing and quantitative real‐time polymerase chain reaction) for differentially expressed exosomal microRNA (miRNAs). miR‐106a‐5p was chosen to further verify because it is reportedly involved in MG pathogenesis. Spearman's correlation analysis was used to assess correlations between candidate miRNAs and patient quantitative MG scores (QMGSs). Area under the curve (AUC) of the receiver operating characteristic analysis was used to evaluate the diagnostic accuracy of the identified miRNAs for MG.
Results
miR‐106a‐5p levels were significantly decreased in MG patients compared with HCs, and were associated with patient QMGS. The AUC values for hsa‐miR‐106a‐5p were 0.728 and 0.813 in ocular and generalized MG patients, respectively.
Conclusions
Exosomal miR‐106a‐5p was expressed differently in different types of MG and was associated with MG severity.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>31889318</pmid><doi>10.1002/mus.26785</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-7291-0458</orcidid></addata></record> |
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| source | MEDLINE; Wiley Online Library Journals Frontfile Complete |
| subjects | Adult Correlation analysis deep sequencing Diagnostic systems exosome Exosomes - metabolism Exosomes - ultrastructure Female Humans Male microRNA MicroRNAs MicroRNAs - blood miRNA Myasthenia Myasthenia gravis Myasthenia Gravis - blood Myasthenia Gravis - diagnosis Neuromuscular junctions Pathogenesis Patients PCR Polymerase chain reaction Real-Time Polymerase Chain Reaction Ribonucleic acid RNA Sampling methods Sensitivity and Specificity Severity of Illness Index |
| title | Plasma exosomal miR‐106a‐5p expression in myasthenia gravis |
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