PUFA diets alter the microRNA expression profiles in an inflammation rat model
Omega-3 and -6 polyunsaturated fatty acids (PUFAs) can directly or indirectly regulate immune homeostasis via inflammatory pathways, and components of these pathways are crucial targets of microRNAs (miRNAs). However, no study has examined the changes in the miRNA transcriptome during PUFA-regulated...
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description | Omega-3 and -6 polyunsaturated fatty acids (PUFAs) can directly or indirectly regulate immune homeostasis via inflammatory pathways, and components of these pathways are crucial targets of microRNAs (miRNAs). However, no study has examined the changes in the miRNA transcriptome during PUFA-regulated inflammatory processes. Here, we established PUFA diet-induced autoimmune-prone (AP) and autoimmune-averse (AA) rat models, and studied their physical characteristics and immune status. Additionally, miRNA expression patterns in the rat models were compared using microarray assays and bioinformatic methods. A total of 54 miRNAs were differentially expressed in common between the AP and the AA rats, and the changes in rno-miR-19b-3p, -146b-5p and -183-5p expression were validated using stem-loop reverse transcription-quantitative polymerase chain reaction. To better understand the mechanisms underlying PUFA-regulated miRNA changes during inflammation, computational algorithms and biological databases were used to identify the target genes of the three validated miRNAs. Furthermore, Gene Ontology (GO) term annotation and KEGG pathway analyses of the miRNA targets further allowed to explore the potential implication of the miRNAs in inflammatory pathways. The predicted PUFA-regulated inflammatory pathways included the Toll-like receptor (TLR), T cell receptor (TCR), NOD-like receptor (NLR), RIG-I-like receptor (RLR), mitogen-activated protein kinase (MAPK) and the transforming growth factor-β (TGF-β) pathway. This study is the first report, to the best of our knowledge, on in vivo comparative profiling of miRNA transcriptomes in PUFA diet-induced inflammatory rat models using a microarray approach. The results provide a useful resource for future investigation of the role of PUFA-regulated miRNAs in immune homeostasis. |
doi_str_mv | 10.3892/mmr.2015.3318 |
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However, no study has examined the changes in the miRNA transcriptome during PUFA-regulated inflammatory processes. Here, we established PUFA diet-induced autoimmune-prone (AP) and autoimmune-averse (AA) rat models, and studied their physical characteristics and immune status. Additionally, miRNA expression patterns in the rat models were compared using microarray assays and bioinformatic methods. A total of 54 miRNAs were differentially expressed in common between the AP and the AA rats, and the changes in rno-miR-19b-3p, -146b-5p and -183-5p expression were validated using stem-loop reverse transcription-quantitative polymerase chain reaction. To better understand the mechanisms underlying PUFA-regulated miRNA changes during inflammation, computational algorithms and biological databases were used to identify the target genes of the three validated miRNAs. Furthermore, Gene Ontology (GO) term annotation and KEGG pathway analyses of the miRNA targets further allowed to explore the potential implication of the miRNAs in inflammatory pathways. The predicted PUFA-regulated inflammatory pathways included the Toll-like receptor (TLR), T cell receptor (TCR), NOD-like receptor (NLR), RIG-I-like receptor (RLR), mitogen-activated protein kinase (MAPK) and the transforming growth factor-β (TGF-β) pathway. This study is the first report, to the best of our knowledge, on in vivo comparative profiling of miRNA transcriptomes in PUFA diet-induced inflammatory rat models using a microarray approach. The results provide a useful resource for future investigation of the role of PUFA-regulated miRNAs in immune homeostasis.</description><identifier>ISSN: 1791-2997</identifier><identifier>EISSN: 1791-3004</identifier><identifier>DOI: 10.3892/mmr.2015.3318</identifier><identifier>PMID: 25672643</identifier><language>eng</language><publisher>Greece: D.A. Spandidos</publisher><subject>Adipocytes ; Animal models ; Animals ; Autoimmune diseases ; Blood ; Comparative analysis ; Computer applications ; Cytokines ; Development and progression ; Diet ; DNA microarrays ; Experiments ; Fatty acids ; Fatty Acids, Omega-3 - immunology ; Fatty Acids, Omega-6 - immunology ; Flow cytometry ; functional enrichment analysis ; Gene expression ; Gene Expression Profiling ; Health aspects ; Homeostasis ; immune homeostasis ; Immune status ; Inflammation ; Inflammation - genetics ; Inflammation - immunology ; Laboratory animals ; MAP kinase ; MicroRNA ; microRNA target gene prediction ; MicroRNAs - genetics ; MicroRNAs - immunology ; miRNA ; Physical characteristics ; Physiological aspects ; Polymerase chain reaction ; Polyunsaturated fatty acids ; Protein kinase ; Rats, Wistar ; Reverse transcription ; Rodents ; Software ; Studies ; T cell receptors ; Toll-like receptors ; Transcriptome ; Transforming growth factor ; Transforming growth factor-b ; Tumor necrosis factor-TNF ; Unsaturated fatty acids ; Variance analysis</subject><ispartof>Molecular medicine reports, 2015-06, Vol.11 (6), p.4149-4157</ispartof><rights>Copyright © 2015, Spandidos Publications</rights><rights>COPYRIGHT 2015 Spandidos Publications</rights><rights>Copyright Spandidos Publications UK Ltd. 2015</rights><rights>Copyright © 2015, Spandidos Publications 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c514t-e81e302fac066759aab7c8edcce07e87de59e27b2e61972cd2d6e66ca82ebd453</citedby><cites>FETCH-LOGICAL-c514t-e81e302fac066759aab7c8edcce07e87de59e27b2e61972cd2d6e66ca82ebd453</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,5556,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25672643$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>ZHENG, ZHENG</creatorcontrib><creatorcontrib>GE, YINLIN</creatorcontrib><creatorcontrib>ZHANG, JINYU</creatorcontrib><creatorcontrib>XUE, MEILAN</creatorcontrib><creatorcontrib>LI, QUAN</creatorcontrib><creatorcontrib>LIN, DONGLIANG</creatorcontrib><creatorcontrib>MA, WENHUI</creatorcontrib><title>PUFA diets alter the microRNA expression profiles in an inflammation rat model</title><title>Molecular medicine reports</title><addtitle>Mol Med Rep</addtitle><description>Omega-3 and -6 polyunsaturated fatty acids (PUFAs) can directly or indirectly regulate immune homeostasis via inflammatory pathways, and components of these pathways are crucial targets of microRNAs (miRNAs). However, no study has examined the changes in the miRNA transcriptome during PUFA-regulated inflammatory processes. Here, we established PUFA diet-induced autoimmune-prone (AP) and autoimmune-averse (AA) rat models, and studied their physical characteristics and immune status. Additionally, miRNA expression patterns in the rat models were compared using microarray assays and bioinformatic methods. A total of 54 miRNAs were differentially expressed in common between the AP and the AA rats, and the changes in rno-miR-19b-3p, -146b-5p and -183-5p expression were validated using stem-loop reverse transcription-quantitative polymerase chain reaction. To better understand the mechanisms underlying PUFA-regulated miRNA changes during inflammation, computational algorithms and biological databases were used to identify the target genes of the three validated miRNAs. Furthermore, Gene Ontology (GO) term annotation and KEGG pathway analyses of the miRNA targets further allowed to explore the potential implication of the miRNAs in inflammatory pathways. The predicted PUFA-regulated inflammatory pathways included the Toll-like receptor (TLR), T cell receptor (TCR), NOD-like receptor (NLR), RIG-I-like receptor (RLR), mitogen-activated protein kinase (MAPK) and the transforming growth factor-β (TGF-β) pathway. This study is the first report, to the best of our knowledge, on in vivo comparative profiling of miRNA transcriptomes in PUFA diet-induced inflammatory rat models using a microarray approach. The results provide a useful resource for future investigation of the role of PUFA-regulated miRNAs in immune homeostasis.</description><subject>Adipocytes</subject><subject>Animal models</subject><subject>Animals</subject><subject>Autoimmune diseases</subject><subject>Blood</subject><subject>Comparative analysis</subject><subject>Computer applications</subject><subject>Cytokines</subject><subject>Development and progression</subject><subject>Diet</subject><subject>DNA microarrays</subject><subject>Experiments</subject><subject>Fatty acids</subject><subject>Fatty Acids, Omega-3 - immunology</subject><subject>Fatty Acids, Omega-6 - immunology</subject><subject>Flow cytometry</subject><subject>functional enrichment analysis</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Health aspects</subject><subject>Homeostasis</subject><subject>immune homeostasis</subject><subject>Immune status</subject><subject>Inflammation</subject><subject>Inflammation - genetics</subject><subject>Inflammation - immunology</subject><subject>Laboratory animals</subject><subject>MAP kinase</subject><subject>MicroRNA</subject><subject>microRNA target gene prediction</subject><subject>MicroRNAs - genetics</subject><subject>MicroRNAs - immunology</subject><subject>miRNA</subject><subject>Physical characteristics</subject><subject>Physiological aspects</subject><subject>Polymerase chain reaction</subject><subject>Polyunsaturated fatty acids</subject><subject>Protein kinase</subject><subject>Rats, Wistar</subject><subject>Reverse transcription</subject><subject>Rodents</subject><subject>Software</subject><subject>Studies</subject><subject>T cell receptors</subject><subject>Toll-like receptors</subject><subject>Transcriptome</subject><subject>Transforming growth factor</subject><subject>Transforming growth factor-b</subject><subject>Tumor necrosis factor-TNF</subject><subject>Unsaturated fatty acids</subject><subject>Variance analysis</subject><issn>1791-2997</issn><issn>1791-3004</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNptkt1rFDEUxQex2Fp99FUCPujLrPn-eBGWYrVQqoh9DtnkTpsyMxmTWdH_3gy7rq2UQBK4v3vCPTlN84rgFdOGvh-GvKKYiBVjRD9pTogypGUY86f7OzVGHTfPS7nDWAoqzLPmmAqpqOTspLn6en2-RiHCXJDrZ8hovgU0RJ_Tt6s1gl9ThlJiGtGUUxd7KCiOyI1173o3DG5eatnNaEgB-hfNUef6Ai_352lzff7x-9nn9vLLp4uz9WXrBeFzC5oAw7RzHkuphHFuo7yG4D1gBVoFEAao2lCQxCjqAw0SpPROU9gELthp82GnO203Q-2Dcc6ut1OOg8u_bXLRPqyM8dbepJ-WM8OrYhV4txfI6ccWymyHWDz0vRshbYslUnLOBVG6om_-Q-_SNo91PEsMo1wqzc0_6sb1YKs7qb7rF1G75hQrTZjmlVo9QtUVoHqeRlgsftjQ7hrqh5SSoTvMSLBdAmBrAOwSALsEoPKv7xtzoP_-eAXe7oAyuTHEkMqBqUotIS2WLSd1oj8pYLhe</recordid><startdate>20150601</startdate><enddate>20150601</enddate><creator>ZHENG, ZHENG</creator><creator>GE, YINLIN</creator><creator>ZHANG, JINYU</creator><creator>XUE, MEILAN</creator><creator>LI, QUAN</creator><creator>LIN, DONGLIANG</creator><creator>MA, WENHUI</creator><general>D.A. Spandidos</general><general>Spandidos Publications</general><general>Spandidos Publications UK Ltd</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20150601</creationdate><title>PUFA diets alter the microRNA expression profiles in an inflammation rat model</title><author>ZHENG, ZHENG ; GE, YINLIN ; ZHANG, JINYU ; XUE, MEILAN ; LI, QUAN ; LIN, DONGLIANG ; MA, WENHUI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c514t-e81e302fac066759aab7c8edcce07e87de59e27b2e61972cd2d6e66ca82ebd453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adipocytes</topic><topic>Animal models</topic><topic>Animals</topic><topic>Autoimmune diseases</topic><topic>Blood</topic><topic>Comparative analysis</topic><topic>Computer applications</topic><topic>Cytokines</topic><topic>Development and progression</topic><topic>Diet</topic><topic>DNA microarrays</topic><topic>Experiments</topic><topic>Fatty acids</topic><topic>Fatty Acids, Omega-3 - immunology</topic><topic>Fatty Acids, Omega-6 - immunology</topic><topic>Flow cytometry</topic><topic>functional enrichment analysis</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Health aspects</topic><topic>Homeostasis</topic><topic>immune homeostasis</topic><topic>Immune status</topic><topic>Inflammation</topic><topic>Inflammation - genetics</topic><topic>Inflammation - immunology</topic><topic>Laboratory animals</topic><topic>MAP kinase</topic><topic>MicroRNA</topic><topic>microRNA target gene prediction</topic><topic>MicroRNAs - genetics</topic><topic>MicroRNAs - immunology</topic><topic>miRNA</topic><topic>Physical characteristics</topic><topic>Physiological aspects</topic><topic>Polymerase chain reaction</topic><topic>Polyunsaturated fatty acids</topic><topic>Protein kinase</topic><topic>Rats, Wistar</topic><topic>Reverse transcription</topic><topic>Rodents</topic><topic>Software</topic><topic>Studies</topic><topic>T cell receptors</topic><topic>Toll-like receptors</topic><topic>Transcriptome</topic><topic>Transforming growth factor</topic><topic>Transforming growth factor-b</topic><topic>Tumor necrosis factor-TNF</topic><topic>Unsaturated fatty acids</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>ZHENG, ZHENG</creatorcontrib><creatorcontrib>GE, YINLIN</creatorcontrib><creatorcontrib>ZHANG, JINYU</creatorcontrib><creatorcontrib>XUE, MEILAN</creatorcontrib><creatorcontrib>LI, QUAN</creatorcontrib><creatorcontrib>LIN, DONGLIANG</creatorcontrib><creatorcontrib>MA, WENHUI</creatorcontrib><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>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection (ProQuest)</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>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Molecular medicine reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>ZHENG, ZHENG</au><au>GE, YINLIN</au><au>ZHANG, JINYU</au><au>XUE, MEILAN</au><au>LI, QUAN</au><au>LIN, DONGLIANG</au><au>MA, WENHUI</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>PUFA diets alter the microRNA expression profiles in an inflammation rat model</atitle><jtitle>Molecular medicine reports</jtitle><addtitle>Mol Med Rep</addtitle><date>2015-06-01</date><risdate>2015</risdate><volume>11</volume><issue>6</issue><spage>4149</spage><epage>4157</epage><pages>4149-4157</pages><issn>1791-2997</issn><eissn>1791-3004</eissn><abstract>Omega-3 and -6 polyunsaturated fatty acids (PUFAs) can directly or indirectly regulate immune homeostasis via inflammatory pathways, and components of these pathways are crucial targets of microRNAs (miRNAs). However, no study has examined the changes in the miRNA transcriptome during PUFA-regulated inflammatory processes. Here, we established PUFA diet-induced autoimmune-prone (AP) and autoimmune-averse (AA) rat models, and studied their physical characteristics and immune status. Additionally, miRNA expression patterns in the rat models were compared using microarray assays and bioinformatic methods. A total of 54 miRNAs were differentially expressed in common between the AP and the AA rats, and the changes in rno-miR-19b-3p, -146b-5p and -183-5p expression were validated using stem-loop reverse transcription-quantitative polymerase chain reaction. To better understand the mechanisms underlying PUFA-regulated miRNA changes during inflammation, computational algorithms and biological databases were used to identify the target genes of the three validated miRNAs. Furthermore, Gene Ontology (GO) term annotation and KEGG pathway analyses of the miRNA targets further allowed to explore the potential implication of the miRNAs in inflammatory pathways. The predicted PUFA-regulated inflammatory pathways included the Toll-like receptor (TLR), T cell receptor (TCR), NOD-like receptor (NLR), RIG-I-like receptor (RLR), mitogen-activated protein kinase (MAPK) and the transforming growth factor-β (TGF-β) pathway. This study is the first report, to the best of our knowledge, on in vivo comparative profiling of miRNA transcriptomes in PUFA diet-induced inflammatory rat models using a microarray approach. The results provide a useful resource for future investigation of the role of PUFA-regulated miRNAs in immune homeostasis.</abstract><cop>Greece</cop><pub>D.A. Spandidos</pub><pmid>25672643</pmid><doi>10.3892/mmr.2015.3318</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adipocytes Animal models Animals Autoimmune diseases Blood Comparative analysis Computer applications Cytokines Development and progression Diet DNA microarrays Experiments Fatty acids Fatty Acids, Omega-3 - immunology Fatty Acids, Omega-6 - immunology Flow cytometry functional enrichment analysis Gene expression Gene Expression Profiling Health aspects Homeostasis immune homeostasis Immune status Inflammation Inflammation - genetics Inflammation - immunology Laboratory animals MAP kinase MicroRNA microRNA target gene prediction MicroRNAs - genetics MicroRNAs - immunology miRNA Physical characteristics Physiological aspects Polymerase chain reaction Polyunsaturated fatty acids Protein kinase Rats, Wistar Reverse transcription Rodents Software Studies T cell receptors Toll-like receptors Transcriptome Transforming growth factor Transforming growth factor-b Tumor necrosis factor-TNF Unsaturated fatty acids Variance analysis |
title | PUFA diets alter the microRNA expression profiles in an inflammation rat model |
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