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Hsa_circ_0054633 in peripheral blood can be used as a diagnostic biomarker of pre-diabetes and type 2 diabetes mellitus
Aims The purpose of the current study was to investigate the characteristic expression of circular RNAs (circRNAs) in the peripheral blood of type 2 diabetes mellitus (T2DM) patients and their potential as diagnostic biomarkers for pre-diabetes and T2DM. Methods CircRNAs in the peripheral blood from...
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| Published in: | Acta diabetologica 2017-03, Vol.54 (3), p.237-245 |
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| container_end_page | 245 |
| container_issue | 3 |
| container_start_page | 237 |
| container_title | Acta diabetologica |
| container_volume | 54 |
| creator | Zhao, Zhenzhou Li, Xuejie Jian, Dongdong Hao, Peiyuan Rao, Lixin Li, Muwei |
| description | Aims
The purpose of the current study was to investigate the characteristic expression of circular RNAs (circRNAs) in the peripheral blood of type 2 diabetes mellitus (T2DM) patients and their potential as diagnostic biomarkers for pre-diabetes and T2DM.
Methods
CircRNAs in the peripheral blood from six healthy individuals and six T2DM patients were collected for microarray analysis, and an independent cohort study consisting of 20 normal cases, 20 pre-diabetes patients and 20 T2DM patients was conducted to verify the five chosen circRNAs. We then tested hsa_circ_0054633 in a third cohort (control group,
n
= 60; pre-diabetes group,
n
= 63; and T2DM group,
n
= 64) by quantitative real-time polymerase chain reaction (Q-PCR).
Results
In total, 489 circRNAs were discovered to be differentially expressed between the two groups, and of these, 78 were upregulated and 411 were downregulated in the T2DM group. Five circRNAs were then selected as candidate biomarkers and further verified in a second cohort. Hsa_circ_0054633 was found to have the largest area under the curve (AUC). The diagnostic capacity of hsa_circ_0054633 was tested in a third cohort. After introducing the risk factors of T2DM, the hsa_circ_0054633 AUCs for the diagnosis of pre-diabetes and T2DM slightly increased from 0.751 (95% confidence interval [0.666–0.835],
P
|
| doi_str_mv | 10.1007/s00592-016-0943-0 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5329094</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1843923193</sourcerecordid><originalsourceid>FETCH-LOGICAL-c503t-9885ac2709fc068cbd8baf88b39ba719b73170745df6d9da26e35442a746ae8e3</originalsourceid><addsrcrecordid>eNqNkk2LFDEQhoMo7jj6A7xIwMteWpNUupNcBFlWV1jwoueQpKtns8502qRb2X9vmlmHVRA8BaqeevPWByEvOXvDGVNvC2OtEQ3jXcOMhIY9IhsuQTStAHhMNjXImlYKc0aelXLLGBcK9FNyJpRWGjRsyM-r4myIOdiqJTsAGkc6YY7TDWa3p36fUk-DG6lHuhTsqSvU0T663ZjKHAP1MR1c_oaZpoFOGZua8zhjxcaezncTUkFPsQPu93FeynPyZHD7gi_u3y35-uHyy8VVc_3546eL99dNaBnMjdG6dUEoZobAOh18r70btPZgvFPceAVcMSXbfuh60zvRIbRSCqdk51AjbMm7o-60-AP2Ace5tmWnHKvpO5tctH9mxnhjd-mHbUGYdahbcn4vkNP3BctsD7GE2oUbMS3Fcq3qKLuu_R9UghHADVT09V_obVryWCexCkomhQZWKX6kQk6lZBxOvjmz6wXY4wXYegF2NWvXmlcPGz5V_F55BcQRKDU17jA_-Pqfqr8AmeW7Jg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1874042830</pqid></control><display><type>article</type><title>Hsa_circ_0054633 in peripheral blood can be used as a diagnostic biomarker of pre-diabetes and type 2 diabetes mellitus</title><source>Springer Nature</source><creator>Zhao, Zhenzhou ; Li, Xuejie ; Jian, Dongdong ; Hao, Peiyuan ; Rao, Lixin ; Li, Muwei</creator><creatorcontrib>Zhao, Zhenzhou ; Li, Xuejie ; Jian, Dongdong ; Hao, Peiyuan ; Rao, Lixin ; Li, Muwei</creatorcontrib><description>Aims
The purpose of the current study was to investigate the characteristic expression of circular RNAs (circRNAs) in the peripheral blood of type 2 diabetes mellitus (T2DM) patients and their potential as diagnostic biomarkers for pre-diabetes and T2DM.
Methods
CircRNAs in the peripheral blood from six healthy individuals and six T2DM patients were collected for microarray analysis, and an independent cohort study consisting of 20 normal cases, 20 pre-diabetes patients and 20 T2DM patients was conducted to verify the five chosen circRNAs. We then tested hsa_circ_0054633 in a third cohort (control group,
n
= 60; pre-diabetes group,
n
= 63; and T2DM group,
n
= 64) by quantitative real-time polymerase chain reaction (Q-PCR).
Results
In total, 489 circRNAs were discovered to be differentially expressed between the two groups, and of these, 78 were upregulated and 411 were downregulated in the T2DM group. Five circRNAs were then selected as candidate biomarkers and further verified in a second cohort. Hsa_circ_0054633 was found to have the largest area under the curve (AUC). The diagnostic capacity of hsa_circ_0054633 was tested in a third cohort. After introducing the risk factors of T2DM, the hsa_circ_0054633 AUCs for the diagnosis of pre-diabetes and T2DM slightly increased from 0.751 (95% confidence interval [0.666–0.835],
P
< 0.001) to 0.841 ([0.773–0.910],
P
< 0.001) and from 0.793 ([0.716–0.871],
P
< 0.001) to 0.834 ([0.762–0.905],
P
< 0.001), respectively.
Conclusions
Hsa_circ_0054633 presented a certain diagnostic capability for pre-diabetes and T2DM.</description><identifier>ISSN: 0940-5429</identifier><identifier>EISSN: 1432-5233</identifier><identifier>DOI: 10.1007/s00592-016-0943-0</identifier><identifier>PMID: 27878383</identifier><identifier>CODEN: ACDAEZ</identifier><language>eng</language><publisher>Milan: Springer Milan</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Biomarkers ; Biomarkers - blood ; Case-Control Studies ; Cohort Studies ; Diabetes ; Diabetes Mellitus, Type 2 - blood ; Diabetes Mellitus, Type 2 - diagnosis ; Diabetes Mellitus, Type 2 - genetics ; Down-Regulation ; Female ; Humans ; Internal Medicine ; Male ; Medical diagnosis ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Microarray Analysis ; Middle Aged ; Original ; Original Article ; Prediabetic State - blood ; Prediabetic State - diagnosis ; Prediabetic State - genetics ; Prognosis ; Ribonucleic acid ; RNA ; RNA - blood ; Sensitivity and Specificity</subject><ispartof>Acta diabetologica, 2017-03, Vol.54 (3), p.237-245</ispartof><rights>The Author(s) 2016</rights><rights>Acta Diabetologica is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c503t-9885ac2709fc068cbd8baf88b39ba719b73170745df6d9da26e35442a746ae8e3</citedby><cites>FETCH-LOGICAL-c503t-9885ac2709fc068cbd8baf88b39ba719b73170745df6d9da26e35442a746ae8e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27878383$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhao, Zhenzhou</creatorcontrib><creatorcontrib>Li, Xuejie</creatorcontrib><creatorcontrib>Jian, Dongdong</creatorcontrib><creatorcontrib>Hao, Peiyuan</creatorcontrib><creatorcontrib>Rao, Lixin</creatorcontrib><creatorcontrib>Li, Muwei</creatorcontrib><title>Hsa_circ_0054633 in peripheral blood can be used as a diagnostic biomarker of pre-diabetes and type 2 diabetes mellitus</title><title>Acta diabetologica</title><addtitle>Acta Diabetol</addtitle><addtitle>Acta Diabetol</addtitle><description>Aims
The purpose of the current study was to investigate the characteristic expression of circular RNAs (circRNAs) in the peripheral blood of type 2 diabetes mellitus (T2DM) patients and their potential as diagnostic biomarkers for pre-diabetes and T2DM.
Methods
CircRNAs in the peripheral blood from six healthy individuals and six T2DM patients were collected for microarray analysis, and an independent cohort study consisting of 20 normal cases, 20 pre-diabetes patients and 20 T2DM patients was conducted to verify the five chosen circRNAs. We then tested hsa_circ_0054633 in a third cohort (control group,
n
= 60; pre-diabetes group,
n
= 63; and T2DM group,
n
= 64) by quantitative real-time polymerase chain reaction (Q-PCR).
Results
In total, 489 circRNAs were discovered to be differentially expressed between the two groups, and of these, 78 were upregulated and 411 were downregulated in the T2DM group. Five circRNAs were then selected as candidate biomarkers and further verified in a second cohort. Hsa_circ_0054633 was found to have the largest area under the curve (AUC). The diagnostic capacity of hsa_circ_0054633 was tested in a third cohort. After introducing the risk factors of T2DM, the hsa_circ_0054633 AUCs for the diagnosis of pre-diabetes and T2DM slightly increased from 0.751 (95% confidence interval [0.666–0.835],
P
< 0.001) to 0.841 ([0.773–0.910],
P
< 0.001) and from 0.793 ([0.716–0.871],
P
< 0.001) to 0.834 ([0.762–0.905],
P
< 0.001), respectively.
Conclusions
Hsa_circ_0054633 presented a certain diagnostic capability for pre-diabetes and T2DM.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Case-Control Studies</subject><subject>Cohort Studies</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>Down-Regulation</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>Microarray Analysis</subject><subject>Middle Aged</subject><subject>Original</subject><subject>Original Article</subject><subject>Prediabetic State - blood</subject><subject>Prediabetic State - diagnosis</subject><subject>Prediabetic State - genetics</subject><subject>Prognosis</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>RNA - blood</subject><subject>Sensitivity and Specificity</subject><issn>0940-5429</issn><issn>1432-5233</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNqNkk2LFDEQhoMo7jj6A7xIwMteWpNUupNcBFlWV1jwoueQpKtns8502qRb2X9vmlmHVRA8BaqeevPWByEvOXvDGVNvC2OtEQ3jXcOMhIY9IhsuQTStAHhMNjXImlYKc0aelXLLGBcK9FNyJpRWGjRsyM-r4myIOdiqJTsAGkc6YY7TDWa3p36fUk-DG6lHuhTsqSvU0T663ZjKHAP1MR1c_oaZpoFOGZua8zhjxcaezncTUkFPsQPu93FeynPyZHD7gi_u3y35-uHyy8VVc_3546eL99dNaBnMjdG6dUEoZobAOh18r70btPZgvFPceAVcMSXbfuh60zvRIbRSCqdk51AjbMm7o-60-AP2Ace5tmWnHKvpO5tctH9mxnhjd-mHbUGYdahbcn4vkNP3BctsD7GE2oUbMS3Fcq3qKLuu_R9UghHADVT09V_obVryWCexCkomhQZWKX6kQk6lZBxOvjmz6wXY4wXYegF2NWvXmlcPGz5V_F55BcQRKDU17jA_-Pqfqr8AmeW7Jg</recordid><startdate>20170301</startdate><enddate>20170301</enddate><creator>Zhao, Zhenzhou</creator><creator>Li, Xuejie</creator><creator>Jian, Dongdong</creator><creator>Hao, Peiyuan</creator><creator>Rao, Lixin</creator><creator>Li, Muwei</creator><general>Springer Milan</general><general>Springer Nature B.V</general><scope>C6C</scope><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>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><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20170301</creationdate><title>Hsa_circ_0054633 in peripheral blood can be used as a diagnostic biomarker of pre-diabetes and type 2 diabetes mellitus</title><author>Zhao, Zhenzhou ; Li, Xuejie ; Jian, Dongdong ; Hao, Peiyuan ; Rao, Lixin ; Li, Muwei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c503t-9885ac2709fc068cbd8baf88b39ba719b73170745df6d9da26e35442a746ae8e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biomarkers</topic><topic>Biomarkers - blood</topic><topic>Case-Control Studies</topic><topic>Cohort Studies</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>Down-Regulation</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>Microarray Analysis</topic><topic>Middle Aged</topic><topic>Original</topic><topic>Original Article</topic><topic>Prediabetic State - blood</topic><topic>Prediabetic State - diagnosis</topic><topic>Prediabetic State - genetics</topic><topic>Prognosis</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>RNA - blood</topic><topic>Sensitivity and Specificity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhao, Zhenzhou</creatorcontrib><creatorcontrib>Li, Xuejie</creatorcontrib><creatorcontrib>Jian, Dongdong</creatorcontrib><creatorcontrib>Hao, Peiyuan</creatorcontrib><creatorcontrib>Rao, Lixin</creatorcontrib><creatorcontrib>Li, Muwei</creatorcontrib><collection>SpringerOpen</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</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)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</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>ProQuest 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><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Acta diabetologica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhao, Zhenzhou</au><au>Li, Xuejie</au><au>Jian, Dongdong</au><au>Hao, Peiyuan</au><au>Rao, Lixin</au><au>Li, Muwei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hsa_circ_0054633 in peripheral blood can be used as a diagnostic biomarker of pre-diabetes and type 2 diabetes mellitus</atitle><jtitle>Acta diabetologica</jtitle><stitle>Acta Diabetol</stitle><addtitle>Acta Diabetol</addtitle><date>2017-03-01</date><risdate>2017</risdate><volume>54</volume><issue>3</issue><spage>237</spage><epage>245</epage><pages>237-245</pages><issn>0940-5429</issn><eissn>1432-5233</eissn><coden>ACDAEZ</coden><abstract>Aims
The purpose of the current study was to investigate the characteristic expression of circular RNAs (circRNAs) in the peripheral blood of type 2 diabetes mellitus (T2DM) patients and their potential as diagnostic biomarkers for pre-diabetes and T2DM.
Methods
CircRNAs in the peripheral blood from six healthy individuals and six T2DM patients were collected for microarray analysis, and an independent cohort study consisting of 20 normal cases, 20 pre-diabetes patients and 20 T2DM patients was conducted to verify the five chosen circRNAs. We then tested hsa_circ_0054633 in a third cohort (control group,
n
= 60; pre-diabetes group,
n
= 63; and T2DM group,
n
= 64) by quantitative real-time polymerase chain reaction (Q-PCR).
Results
In total, 489 circRNAs were discovered to be differentially expressed between the two groups, and of these, 78 were upregulated and 411 were downregulated in the T2DM group. Five circRNAs were then selected as candidate biomarkers and further verified in a second cohort. Hsa_circ_0054633 was found to have the largest area under the curve (AUC). The diagnostic capacity of hsa_circ_0054633 was tested in a third cohort. After introducing the risk factors of T2DM, the hsa_circ_0054633 AUCs for the diagnosis of pre-diabetes and T2DM slightly increased from 0.751 (95% confidence interval [0.666–0.835],
P
< 0.001) to 0.841 ([0.773–0.910],
P
< 0.001) and from 0.793 ([0.716–0.871],
P
< 0.001) to 0.834 ([0.762–0.905],
P
< 0.001), respectively.
Conclusions
Hsa_circ_0054633 presented a certain diagnostic capability for pre-diabetes and T2DM.</abstract><cop>Milan</cop><pub>Springer Milan</pub><pmid>27878383</pmid><doi>10.1007/s00592-016-0943-0</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 0940-5429 |
| ispartof | Acta diabetologica, 2017-03, Vol.54 (3), p.237-245 |
| issn | 0940-5429 1432-5233 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5329094 |
| source | Springer Nature |
| subjects | Adult Aged Aged, 80 and over Biomarkers Biomarkers - blood Case-Control Studies Cohort Studies Diabetes Diabetes Mellitus, Type 2 - blood Diabetes Mellitus, Type 2 - diagnosis Diabetes Mellitus, Type 2 - genetics Down-Regulation Female Humans Internal Medicine Male Medical diagnosis Medicine Medicine & Public Health Metabolic Diseases Microarray Analysis Middle Aged Original Original Article Prediabetic State - blood Prediabetic State - diagnosis Prediabetic State - genetics Prognosis Ribonucleic acid RNA RNA - blood Sensitivity and Specificity |
| title | Hsa_circ_0054633 in peripheral blood can be used as a diagnostic biomarker of pre-diabetes and type 2 diabetes mellitus |
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