Serum microRNAs as Early Indicators for Estimation of Exposure Degree in Response to Ionizing Irradiation
Exposure to ionizing radiation from nuclear devices, spaceflights or terrorist attacks represents a major threat to human health and public security. After a radiological incident, noninvasive biomarkers that can facilitate rapid assessment of exposure risk in the early stages are urgently needed fo...
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Veröffentlicht in: | Radiation research 2017-09, Vol.188 (3), p.342-354 |
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creator | Wei, Wenjun He, Jinpeng Wang, Jufang Ding, Nan Wang, Bing Lin, Sulan Zhang, Xurui Hua, Junrui Li, He Hu, Burong |
description | Exposure to ionizing radiation from nuclear devices, spaceflights or terrorist attacks represents a major threat to human health and public security. After a radiological incident, noninvasive biomarkers that can facilitate rapid assessment of exposure risk in the early stages are urgently needed for optimal medical treatment. Serum microRNAs (miRNAs) are ideal biomarkers because they are stable in response to environmental changes, they are common among different species and are easily collected. Here, we performed miRNA PCR arrays to analyze miRNA expression profiles at 24 h postirradiation. Blood samples were collected from animals that received 0.5–2 Gy total-body carbon-ion irradiation. A specific signature with 12 radiosensitive miRNAs was selected for further validation. After exposure to 0.1–2 Gy of carbon-ion, iron-ion or X-ray radiations, five miRNAs that showed a significant response to these radiation types were selected for further observation of dose- and time-dependent changes: miR-183-5p, miR-9-3p, miR-200b-5p, miR-342-3p and miR-574-5p. We developed a universal model using these five miRNAs to predict the degree of exposure to different radiation types with high sensitivity and specificity. In conclusion, we have identified a set of miRNAs that are quite sensitive to different radiation types in the early stages after exposure, demonstrating their potential use as effective indicators to predict the degree of exposure. |
doi_str_mv | 10.1667/RR14702.1 |
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After a radiological incident, noninvasive biomarkers that can facilitate rapid assessment of exposure risk in the early stages are urgently needed for optimal medical treatment. Serum microRNAs (miRNAs) are ideal biomarkers because they are stable in response to environmental changes, they are common among different species and are easily collected. Here, we performed miRNA PCR arrays to analyze miRNA expression profiles at 24 h postirradiation. Blood samples were collected from animals that received 0.5–2 Gy total-body carbon-ion irradiation. A specific signature with 12 radiosensitive miRNAs was selected for further validation. After exposure to 0.1–2 Gy of carbon-ion, iron-ion or X-ray radiations, five miRNAs that showed a significant response to these radiation types were selected for further observation of dose- and time-dependent changes: miR-183-5p, miR-9-3p, miR-200b-5p, miR-342-3p and miR-574-5p. We developed a universal model using these five miRNAs to predict the degree of exposure to different radiation types with high sensitivity and specificity. In conclusion, we have identified a set of miRNAs that are quite sensitive to different radiation types in the early stages after exposure, demonstrating their potential use as effective indicators to predict the degree of exposure.</description><identifier>ISSN: 0033-7587</identifier><identifier>EISSN: 1938-5404</identifier><identifier>DOI: 10.1667/RR14702.1</identifier><identifier>PMID: 28632432</identifier><language>eng</language><publisher>United States: The Radiation Research Society</publisher><subject>Animals ; Biological Assay - methods ; Biomarkers - blood ; Computer Simulation ; Early Diagnosis ; Heavy Ion Radiotherapy ; Male ; Mice ; MicroRNAs - blood ; Models, Biological ; Radiation Dosage ; Radiation Exposure - analysis ; Radiation Monitoring - methods ; Radiation, Ionizing ; REGULAR ARTICLES ; Reproducibility of Results ; Sensitivity and Specificity ; Space life sciences ; Whole-Body Counting - methods ; Whole-Body Irradiation</subject><ispartof>Radiation research, 2017-09, Vol.188 (3), p.342-354</ispartof><rights>2017 by Radiation Research Society.</rights><rights>Copyright © 2017 Radiation Research Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b379t-f8f79db66f1fbeae143f258eab4a5f33a08fb121b82f3c8403f84f037823d2463</citedby><cites>FETCH-LOGICAL-b379t-f8f79db66f1fbeae143f258eab4a5f33a08fb121b82f3c8403f84f037823d2463</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26428281$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26428281$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,27901,27902,57992,58225</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28632432$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wei, Wenjun</creatorcontrib><creatorcontrib>He, Jinpeng</creatorcontrib><creatorcontrib>Wang, Jufang</creatorcontrib><creatorcontrib>Ding, Nan</creatorcontrib><creatorcontrib>Wang, Bing</creatorcontrib><creatorcontrib>Lin, Sulan</creatorcontrib><creatorcontrib>Zhang, Xurui</creatorcontrib><creatorcontrib>Hua, Junrui</creatorcontrib><creatorcontrib>Li, He</creatorcontrib><creatorcontrib>Hu, Burong</creatorcontrib><title>Serum microRNAs as Early Indicators for Estimation of Exposure Degree in Response to Ionizing Irradiation</title><title>Radiation research</title><addtitle>Radiat Res</addtitle><description>Exposure to ionizing radiation from nuclear devices, spaceflights or terrorist attacks represents a major threat to human health and public security. After a radiological incident, noninvasive biomarkers that can facilitate rapid assessment of exposure risk in the early stages are urgently needed for optimal medical treatment. Serum microRNAs (miRNAs) are ideal biomarkers because they are stable in response to environmental changes, they are common among different species and are easily collected. Here, we performed miRNA PCR arrays to analyze miRNA expression profiles at 24 h postirradiation. Blood samples were collected from animals that received 0.5–2 Gy total-body carbon-ion irradiation. A specific signature with 12 radiosensitive miRNAs was selected for further validation. After exposure to 0.1–2 Gy of carbon-ion, iron-ion or X-ray radiations, five miRNAs that showed a significant response to these radiation types were selected for further observation of dose- and time-dependent changes: miR-183-5p, miR-9-3p, miR-200b-5p, miR-342-3p and miR-574-5p. We developed a universal model using these five miRNAs to predict the degree of exposure to different radiation types with high sensitivity and specificity. In conclusion, we have identified a set of miRNAs that are quite sensitive to different radiation types in the early stages after exposure, demonstrating their potential use as effective indicators to predict the degree of exposure.</description><subject>Animals</subject><subject>Biological Assay - methods</subject><subject>Biomarkers - blood</subject><subject>Computer Simulation</subject><subject>Early Diagnosis</subject><subject>Heavy Ion Radiotherapy</subject><subject>Male</subject><subject>Mice</subject><subject>MicroRNAs - blood</subject><subject>Models, Biological</subject><subject>Radiation Dosage</subject><subject>Radiation Exposure - analysis</subject><subject>Radiation Monitoring - methods</subject><subject>Radiation, Ionizing</subject><subject>REGULAR ARTICLES</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Space life sciences</subject><subject>Whole-Body Counting - methods</subject><subject>Whole-Body Irradiation</subject><issn>0033-7587</issn><issn>1938-5404</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kM1OwzAQhC0EoqVw4AFAvgGHFP8lcY5VCVCpAinAOXKadeWqiYudSJSnJyUFbpxWq_1mVjMInVMyplEU32YZFTFhY3qAhjThMggFEYdoSAjnQRzKeIBOvF-RbqdRcowGTEacCc6GyLyAaytcmYWz2dPEY-Vxqtx6i2d1aRaqsc5jbR1OfWMq1RhbY6tx-rGxvnWA72DpALCpcQZ-Y2sPuLF4ZmvzaeolnjmnSvMtO0VHWq09nO3nCL3dp6_Tx2D-_DCbTuZBweOkCbTUcVIWUaSpLkABFVyzUIIqhAo154pIXVBGC8k0X0hBuJZCEx5LxksmIj5C173vxtn3FnyTV8YvYL1WNdjW5zTp1AkTLOzQmx7twnvvQOcb14V025ySfNdsvm82px17ubdtiwrKX_Knyg646IGV70r7u0eCSSZ3Blf9vTDW1vDPqy-h0ome</recordid><startdate>20170901</startdate><enddate>20170901</enddate><creator>Wei, Wenjun</creator><creator>He, Jinpeng</creator><creator>Wang, Jufang</creator><creator>Ding, Nan</creator><creator>Wang, Bing</creator><creator>Lin, Sulan</creator><creator>Zhang, Xurui</creator><creator>Hua, Junrui</creator><creator>Li, He</creator><creator>Hu, Burong</creator><general>The Radiation Research Society</general><general>Radiation Research Society</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>7X8</scope></search><sort><creationdate>20170901</creationdate><title>Serum microRNAs as Early Indicators for Estimation of Exposure Degree in Response to Ionizing Irradiation</title><author>Wei, Wenjun ; He, Jinpeng ; Wang, Jufang ; Ding, Nan ; Wang, Bing ; Lin, Sulan ; Zhang, Xurui ; Hua, Junrui ; Li, He ; Hu, Burong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b379t-f8f79db66f1fbeae143f258eab4a5f33a08fb121b82f3c8403f84f037823d2463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Animals</topic><topic>Biological Assay - methods</topic><topic>Biomarkers - blood</topic><topic>Computer Simulation</topic><topic>Early Diagnosis</topic><topic>Heavy Ion Radiotherapy</topic><topic>Male</topic><topic>Mice</topic><topic>MicroRNAs - blood</topic><topic>Models, Biological</topic><topic>Radiation Dosage</topic><topic>Radiation Exposure - analysis</topic><topic>Radiation Monitoring - methods</topic><topic>Radiation, Ionizing</topic><topic>REGULAR ARTICLES</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Space life sciences</topic><topic>Whole-Body Counting - methods</topic><topic>Whole-Body Irradiation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wei, Wenjun</creatorcontrib><creatorcontrib>He, Jinpeng</creatorcontrib><creatorcontrib>Wang, Jufang</creatorcontrib><creatorcontrib>Ding, Nan</creatorcontrib><creatorcontrib>Wang, Bing</creatorcontrib><creatorcontrib>Lin, Sulan</creatorcontrib><creatorcontrib>Zhang, Xurui</creatorcontrib><creatorcontrib>Hua, Junrui</creatorcontrib><creatorcontrib>Li, He</creatorcontrib><creatorcontrib>Hu, Burong</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Radiation research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wei, Wenjun</au><au>He, Jinpeng</au><au>Wang, Jufang</au><au>Ding, Nan</au><au>Wang, Bing</au><au>Lin, Sulan</au><au>Zhang, Xurui</au><au>Hua, Junrui</au><au>Li, He</au><au>Hu, Burong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Serum microRNAs as Early Indicators for Estimation of Exposure Degree in Response to Ionizing Irradiation</atitle><jtitle>Radiation research</jtitle><addtitle>Radiat Res</addtitle><date>2017-09-01</date><risdate>2017</risdate><volume>188</volume><issue>3</issue><spage>342</spage><epage>354</epage><pages>342-354</pages><issn>0033-7587</issn><eissn>1938-5404</eissn><abstract>Exposure to ionizing radiation from nuclear devices, spaceflights or terrorist attacks represents a major threat to human health and public security. After a radiological incident, noninvasive biomarkers that can facilitate rapid assessment of exposure risk in the early stages are urgently needed for optimal medical treatment. Serum microRNAs (miRNAs) are ideal biomarkers because they are stable in response to environmental changes, they are common among different species and are easily collected. Here, we performed miRNA PCR arrays to analyze miRNA expression profiles at 24 h postirradiation. Blood samples were collected from animals that received 0.5–2 Gy total-body carbon-ion irradiation. A specific signature with 12 radiosensitive miRNAs was selected for further validation. After exposure to 0.1–2 Gy of carbon-ion, iron-ion or X-ray radiations, five miRNAs that showed a significant response to these radiation types were selected for further observation of dose- and time-dependent changes: miR-183-5p, miR-9-3p, miR-200b-5p, miR-342-3p and miR-574-5p. We developed a universal model using these five miRNAs to predict the degree of exposure to different radiation types with high sensitivity and specificity. In conclusion, we have identified a set of miRNAs that are quite sensitive to different radiation types in the early stages after exposure, demonstrating their potential use as effective indicators to predict the degree of exposure.</abstract><cop>United States</cop><pub>The Radiation Research Society</pub><pmid>28632432</pmid><doi>10.1667/RR14702.1</doi><tpages>13</tpages></addata></record> |
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subjects | Animals Biological Assay - methods Biomarkers - blood Computer Simulation Early Diagnosis Heavy Ion Radiotherapy Male Mice MicroRNAs - blood Models, Biological Radiation Dosage Radiation Exposure - analysis Radiation Monitoring - methods Radiation, Ionizing REGULAR ARTICLES Reproducibility of Results Sensitivity and Specificity Space life sciences Whole-Body Counting - methods Whole-Body Irradiation |
title | Serum microRNAs as Early Indicators for Estimation of Exposure Degree in Response to Ionizing Irradiation |
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