Serum miR-23a, a potential biomarker for diagnosis of pre-diabetes and type 2 diabetes
MicroRNAs (miRNAs) play a crucial role in the pathogenesis of type 2 diabetes (T2D); they regulate several metabolic pathways including insulin secretion, glucose homeostasis, so their potential as biomarkers of diagnosis and prognosis has became increasingly appreciated. In this study, we explore s...
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| Veröffentlicht in: | Acta diabetologica 2014-10, Vol.51 (5), p.823-831 |
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| container_title | Acta diabetologica |
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| creator | Yang, Zhangping Chen, Haimin Si, Hongqiang Li, Xuan Ding, Xianfeng Sheng, Qing Chen, Ping Zhang, Hongqiang |
| description | MicroRNAs (miRNAs) play a crucial role in the pathogenesis of type 2 diabetes (T2D); they regulate several metabolic pathways including insulin secretion, glucose homeostasis, so their potential as biomarkers of diagnosis and prognosis has became increasingly appreciated. In this study, we explore serum miRNA profiles in T2D patients. A total of ten candidate miRNAs were identified by Solexa sequencing scanning and followed by a stem-loop quantitative reverse transcription PCR (qRT-PCR) to assess these candidate serum miRNAs. The results of qRT-PCR assessment revealed low serum levels of miR-23a, let-7i, miR-486, miR-96, miR-186, miR-191, miR-192, and miR-146a in T2D. Except for significantly lower in T2D and pre-diabetes patients compared with normal glucose tolerance (NGT) controls (
P
= 2.87E−05 and
P
= 3.75E−02), the levels of miR-23a demonstrated also significant decline in T2D patients compared with pre-diabetes patients (
P
= 1.06E−02). This marker yielded an AUC of 0.835 (95 % CI 0.717–0.954). At a cutoff value of 1.645, the sensitivity was 79.2 % and the specificity was 75.0 % in discriminating T2D patients from NGT normal controls. These results revealed that serum miR-23a was a valuable biomarker for early detection of T2D and pre-diabetes with NGT. |
| doi_str_mv | 10.1007/s00592-014-0617-8 |
| format | Article |
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P
= 2.87E−05 and
P
= 3.75E−02), the levels of miR-23a demonstrated also significant decline in T2D patients compared with pre-diabetes patients (
P
= 1.06E−02). This marker yielded an AUC of 0.835 (95 % CI 0.717–0.954). At a cutoff value of 1.645, the sensitivity was 79.2 % and the specificity was 75.0 % in discriminating T2D patients from NGT normal controls. These results revealed that serum miR-23a was a valuable biomarker for early detection of T2D and pre-diabetes with NGT.</description><identifier>ISSN: 0940-5429</identifier><identifier>EISSN: 1432-5233</identifier><identifier>DOI: 10.1007/s00592-014-0617-8</identifier><identifier>PMID: 24981880</identifier><identifier>CODEN: ACDAEZ</identifier><language>eng</language><publisher>Milan: Springer Milan</publisher><subject>Adult ; Biomarkers ; Biomarkers - blood ; Diabetes ; Diabetes Mellitus, Type 2 - blood ; Diabetes Mellitus, Type 2 - diagnosis ; Diabetes Mellitus, Type 2 - genetics ; Female ; Humans ; Internal Medicine ; Male ; Medical diagnosis ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; MicroRNAs ; MicroRNAs - blood ; MicroRNAs - genetics ; Middle Aged ; Original Article ; Prediabetic State - blood ; Prediabetic State - diagnosis ; Prediabetic State - genetics ; Prognosis</subject><ispartof>Acta diabetologica, 2014-10, Vol.51 (5), p.823-831</ispartof><rights>Springer-Verlag Italia 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-p212t-660acf07da93410e1201363a72b52b3266ce8703048073202b933f5fde79e4513</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00592-014-0617-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00592-014-0617-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24981880$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yang, Zhangping</creatorcontrib><creatorcontrib>Chen, Haimin</creatorcontrib><creatorcontrib>Si, Hongqiang</creatorcontrib><creatorcontrib>Li, Xuan</creatorcontrib><creatorcontrib>Ding, Xianfeng</creatorcontrib><creatorcontrib>Sheng, Qing</creatorcontrib><creatorcontrib>Chen, Ping</creatorcontrib><creatorcontrib>Zhang, Hongqiang</creatorcontrib><title>Serum miR-23a, a potential biomarker for diagnosis of pre-diabetes and type 2 diabetes</title><title>Acta diabetologica</title><addtitle>Acta Diabetol</addtitle><addtitle>Acta Diabetol</addtitle><description>MicroRNAs (miRNAs) play a crucial role in the pathogenesis of type 2 diabetes (T2D); they regulate several metabolic pathways including insulin secretion, glucose homeostasis, so their potential as biomarkers of diagnosis and prognosis has became increasingly appreciated. In this study, we explore serum miRNA profiles in T2D patients. A total of ten candidate miRNAs were identified by Solexa sequencing scanning and followed by a stem-loop quantitative reverse transcription PCR (qRT-PCR) to assess these candidate serum miRNAs. The results of qRT-PCR assessment revealed low serum levels of miR-23a, let-7i, miR-486, miR-96, miR-186, miR-191, miR-192, and miR-146a in T2D. Except for significantly lower in T2D and pre-diabetes patients compared with normal glucose tolerance (NGT) controls (
P
= 2.87E−05 and
P
= 3.75E−02), the levels of miR-23a demonstrated also significant decline in T2D patients compared with pre-diabetes patients (
P
= 1.06E−02). This marker yielded an AUC of 0.835 (95 % CI 0.717–0.954). At a cutoff value of 1.645, the sensitivity was 79.2 % and the specificity was 75.0 % in discriminating T2D patients from NGT normal controls. These results revealed that serum miR-23a was a valuable biomarker for early detection of T2D and pre-diabetes with NGT.</description><subject>Adult</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Diabetes</subject><subject>Diabetes Mellitus, Type 2 - blood</subject><subject>Diabetes Mellitus, Type 2 - diagnosis</subject><subject>Diabetes Mellitus, Type 2 - genetics</subject><subject>Female</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Male</subject><subject>Medical diagnosis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>MicroRNAs</subject><subject>MicroRNAs - blood</subject><subject>MicroRNAs - genetics</subject><subject>Middle Aged</subject><subject>Original Article</subject><subject>Prediabetic State - blood</subject><subject>Prediabetic State - diagnosis</subject><subject>Prediabetic State - genetics</subject><subject>Prognosis</subject><issn>0940-5429</issn><issn>1432-5233</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpdkU1LxDAQhoMouq7-AC8S8OLB6GSSNulRxC8QBL-uId1Opbr9MGkP--_NsgriaWDm4WV4H8aOJJxLAHMRAbICBUgtIJdG2C02k1qhyFCpbTaDQoPINBZ7bD_GDwCJRtldtoe6sNJamLG3ZwpTy9vmSaDyZ9zzoR-pGxu_5GXTtz58UuB1H3jV-Peuj03kfc2HQCItShopct9VfFwNxJH_7g7YTu2XkQ5_5py93ly_XN2Jh8fb-6vLBzGgxFHkOfhFDabyhdISSCJIlStvsMywVJjnC7IGFGgLRiFgWShVZ3VFpiCdSTVnp5vcIfRfE8XRtU1c0HLpO-qn6KSxqQutU8acnfxDP_opdOk7J7M8l6lBbRJ1_ENNZUuVG0KTOli538YSgBsgplP3TuFPDLi1FrfR4pIWt9birPoGntV5sw</recordid><startdate>20141001</startdate><enddate>20141001</enddate><creator>Yang, Zhangping</creator><creator>Chen, Haimin</creator><creator>Si, Hongqiang</creator><creator>Li, Xuan</creator><creator>Ding, Xianfeng</creator><creator>Sheng, Qing</creator><creator>Chen, Ping</creator><creator>Zhang, Hongqiang</creator><general>Springer Milan</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>3V.</scope><scope>7T5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20141001</creationdate><title>Serum miR-23a, a potential biomarker for diagnosis of pre-diabetes and type 2 diabetes</title><author>Yang, Zhangping ; Chen, Haimin ; Si, Hongqiang ; Li, Xuan ; Ding, Xianfeng ; Sheng, Qing ; Chen, Ping ; Zhang, Hongqiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p212t-660acf07da93410e1201363a72b52b3266ce8703048073202b933f5fde79e4513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult</topic><topic>Biomarkers</topic><topic>Biomarkers - blood</topic><topic>Diabetes</topic><topic>Diabetes Mellitus, Type 2 - blood</topic><topic>Diabetes Mellitus, Type 2 - diagnosis</topic><topic>Diabetes Mellitus, Type 2 - genetics</topic><topic>Female</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Male</topic><topic>Medical diagnosis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>MicroRNAs</topic><topic>MicroRNAs - blood</topic><topic>MicroRNAs - genetics</topic><topic>Middle Aged</topic><topic>Original Article</topic><topic>Prediabetic State - blood</topic><topic>Prediabetic State - diagnosis</topic><topic>Prediabetic State - genetics</topic><topic>Prognosis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Zhangping</creatorcontrib><creatorcontrib>Chen, Haimin</creatorcontrib><creatorcontrib>Si, Hongqiang</creatorcontrib><creatorcontrib>Li, Xuan</creatorcontrib><creatorcontrib>Ding, Xianfeng</creatorcontrib><creatorcontrib>Sheng, Qing</creatorcontrib><creatorcontrib>Chen, Ping</creatorcontrib><creatorcontrib>Zhang, Hongqiang</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>ProQuest Central (Corporate)</collection><collection>Immunology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Acta diabetologica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Zhangping</au><au>Chen, Haimin</au><au>Si, Hongqiang</au><au>Li, Xuan</au><au>Ding, Xianfeng</au><au>Sheng, Qing</au><au>Chen, Ping</au><au>Zhang, Hongqiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Serum miR-23a, a potential biomarker for diagnosis of pre-diabetes and type 2 diabetes</atitle><jtitle>Acta diabetologica</jtitle><stitle>Acta Diabetol</stitle><addtitle>Acta Diabetol</addtitle><date>2014-10-01</date><risdate>2014</risdate><volume>51</volume><issue>5</issue><spage>823</spage><epage>831</epage><pages>823-831</pages><issn>0940-5429</issn><eissn>1432-5233</eissn><coden>ACDAEZ</coden><abstract>MicroRNAs (miRNAs) play a crucial role in the pathogenesis of type 2 diabetes (T2D); they regulate several metabolic pathways including insulin secretion, glucose homeostasis, so their potential as biomarkers of diagnosis and prognosis has became increasingly appreciated. In this study, we explore serum miRNA profiles in T2D patients. A total of ten candidate miRNAs were identified by Solexa sequencing scanning and followed by a stem-loop quantitative reverse transcription PCR (qRT-PCR) to assess these candidate serum miRNAs. The results of qRT-PCR assessment revealed low serum levels of miR-23a, let-7i, miR-486, miR-96, miR-186, miR-191, miR-192, and miR-146a in T2D. Except for significantly lower in T2D and pre-diabetes patients compared with normal glucose tolerance (NGT) controls (
P
= 2.87E−05 and
P
= 3.75E−02), the levels of miR-23a demonstrated also significant decline in T2D patients compared with pre-diabetes patients (
P
= 1.06E−02). This marker yielded an AUC of 0.835 (95 % CI 0.717–0.954). At a cutoff value of 1.645, the sensitivity was 79.2 % and the specificity was 75.0 % in discriminating T2D patients from NGT normal controls. These results revealed that serum miR-23a was a valuable biomarker for early detection of T2D and pre-diabetes with NGT.</abstract><cop>Milan</cop><pub>Springer Milan</pub><pmid>24981880</pmid><doi>10.1007/s00592-014-0617-8</doi><tpages>9</tpages></addata></record> |
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| subjects | Adult Biomarkers Biomarkers - blood Diabetes Diabetes Mellitus, Type 2 - blood Diabetes Mellitus, Type 2 - diagnosis Diabetes Mellitus, Type 2 - genetics Female Humans Internal Medicine Male Medical diagnosis Medicine Medicine & Public Health Metabolic Diseases MicroRNAs MicroRNAs - blood MicroRNAs - genetics Middle Aged Original Article Prediabetic State - blood Prediabetic State - diagnosis Prediabetic State - genetics Prognosis |
| title | Serum miR-23a, a potential biomarker for diagnosis of pre-diabetes and type 2 diabetes |
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