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The difference in expression of long noncoding RNAs in rat semen induced by high-fat diet was associated with metabolic pathways
Obesity, a common metabolic disease, is a known cause of male infertility due to its associated health risk. Long noncoding RNAs (lncRNAs) have also been reported to be associated with male reproductive diseases; however, their role in the association between high-fat diet-induced obesity (DIO) and...
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| Published in: | PeerJ (San Francisco, CA) CA), 2017-07, Vol.5, p.e3518-e3518, Article e3518 |
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| creator | An, Tian Fan, Hui Liu, Yu F Pan, Yan Y Liu, Ying K Mo, Fang F Gu, Yu J Sun, Ya L Zhao, Dan D Yu, Na Ma, Yue Liu, Chen Y Wang, Qiu L Li, Zheng Y Teng, Fei Gao, Si Hua Jiang, Guang J |
| description | Obesity, a common metabolic disease, is a known cause of male infertility due to its associated health risk. Long noncoding RNAs (lncRNAs) have also been reported to be associated with male reproductive diseases; however, their role in the association between high-fat diet-induced obesity (DIO) and male reproduction remains unclear.
We used microarray analysis to compare the expression levels of lncRNAs and mRNAs in the spermatozoa of rats with DIO and normal rats. We selected a few lncRNAs that were obviously up-regulated or down-regulated, and then used RT-PCR to verify the accuracy of their expression. We then performed a functional enrichment analysis of the differentially expressed mRNAs using gene ontology and pathway analysis. Finally, target gene predictive analysis was used to explore the relationship between lncRNAs and mRNAs.
The results revealed a statistically significant difference in the fasting blood glucose level in rats with DIO and control rats. We found that 973 lncRNAs and 2,994 mRNAs were differentially expressed in the sperm samples of the DIO rats, compared to the controls. GO enrichment analysis revealed 263 biological process terms, 39 cellular component terms, and 40 molecular function terms (
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| doi_str_mv | 10.7717/peerj.3518 |
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We used microarray analysis to compare the expression levels of lncRNAs and mRNAs in the spermatozoa of rats with DIO and normal rats. We selected a few lncRNAs that were obviously up-regulated or down-regulated, and then used RT-PCR to verify the accuracy of their expression. We then performed a functional enrichment analysis of the differentially expressed mRNAs using gene ontology and pathway analysis. Finally, target gene predictive analysis was used to explore the relationship between lncRNAs and mRNAs.
The results revealed a statistically significant difference in the fasting blood glucose level in rats with DIO and control rats. We found that 973 lncRNAs and 2,994 mRNAs were differentially expressed in the sperm samples of the DIO rats, compared to the controls. GO enrichment analysis revealed 263 biological process terms, 39 cellular component terms, and 40 molecular function terms (
< 0.01) in the differentially expressed mRNAs. The pathway analysis showed that metabolic pathways were most enriched in protein-coding genes.
To the best of our knowledge, this is the first report to show differences in the expression levels of lncRNAs and mRNAs in the sperms of rats with DIO and normal rats, and to determine the expression profile of lncRNAs in the sperm of rats with DIO. Our results have revealed a number of lncRNAs and pathways associated with obesity-induced infertility, including metabolic pathways. These pathways could be new candidates that help cope with and investigate the mechanisms behind the progression of obesity-induced male infertility.</description><identifier>ISSN: 2167-8359</identifier><identifier>EISSN: 2167-8359</identifier><identifier>DOI: 10.7717/peerj.3518</identifier><identifier>PMID: 28761781</identifier><language>eng</language><publisher>United States: PeerJ. Ltd</publisher><subject>Biochemistry ; Bioinformatics ; Causes of ; Cell cycle ; Complications and side effects ; Data analysis ; Developmental Biology ; Diabetes ; DNA microarrays ; Epigenetics ; Fat metabolism ; Gene expression ; Genomes ; Health aspects ; High fat diet ; Hybridization ; Infertility ; Long noncoding RNA ; Male infertility ; Medicine ; Metabolic pathways ; Metabolic Sciences ; Metabolism ; Microarray analysis ; Molecular Biology ; Motility ; Obesity ; Physiological aspects ; Physiology ; Polymerase chain reaction ; Reproductive system ; Rodents ; Semen ; Software ; Sperm ; Statistical analysis ; Studies ; Zoology</subject><ispartof>PeerJ (San Francisco, CA), 2017-07, Vol.5, p.e3518-e3518, Article e3518</ispartof><rights>COPYRIGHT 2017 PeerJ. Ltd.</rights><rights>2017 An et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2017 An et al. 2017 An et al.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4158-a730c829ff8e2f073c78d23f42db6aa866a72a150a572a8f422d7a07fb828dfb3</citedby><cites>FETCH-LOGICAL-c4158-a730c829ff8e2f073c78d23f42db6aa866a72a150a572a8f422d7a07fb828dfb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1952527283/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1952527283?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,44566,53766,53768,75096</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28761781$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>An, Tian</creatorcontrib><creatorcontrib>Fan, Hui</creatorcontrib><creatorcontrib>Liu, Yu F</creatorcontrib><creatorcontrib>Pan, Yan Y</creatorcontrib><creatorcontrib>Liu, Ying K</creatorcontrib><creatorcontrib>Mo, Fang F</creatorcontrib><creatorcontrib>Gu, Yu J</creatorcontrib><creatorcontrib>Sun, Ya L</creatorcontrib><creatorcontrib>Zhao, Dan D</creatorcontrib><creatorcontrib>Yu, Na</creatorcontrib><creatorcontrib>Ma, Yue</creatorcontrib><creatorcontrib>Liu, Chen Y</creatorcontrib><creatorcontrib>Wang, Qiu L</creatorcontrib><creatorcontrib>Li, Zheng Y</creatorcontrib><creatorcontrib>Teng, Fei</creatorcontrib><creatorcontrib>Gao, Si Hua</creatorcontrib><creatorcontrib>Jiang, Guang J</creatorcontrib><title>The difference in expression of long noncoding RNAs in rat semen induced by high-fat diet was associated with metabolic pathways</title><title>PeerJ (San Francisco, CA)</title><addtitle>PeerJ</addtitle><description>Obesity, a common metabolic disease, is a known cause of male infertility due to its associated health risk. Long noncoding RNAs (lncRNAs) have also been reported to be associated with male reproductive diseases; however, their role in the association between high-fat diet-induced obesity (DIO) and male reproduction remains unclear.
We used microarray analysis to compare the expression levels of lncRNAs and mRNAs in the spermatozoa of rats with DIO and normal rats. We selected a few lncRNAs that were obviously up-regulated or down-regulated, and then used RT-PCR to verify the accuracy of their expression. We then performed a functional enrichment analysis of the differentially expressed mRNAs using gene ontology and pathway analysis. Finally, target gene predictive analysis was used to explore the relationship between lncRNAs and mRNAs.
The results revealed a statistically significant difference in the fasting blood glucose level in rats with DIO and control rats. We found that 973 lncRNAs and 2,994 mRNAs were differentially expressed in the sperm samples of the DIO rats, compared to the controls. GO enrichment analysis revealed 263 biological process terms, 39 cellular component terms, and 40 molecular function terms (
< 0.01) in the differentially expressed mRNAs. The pathway analysis showed that metabolic pathways were most enriched in protein-coding genes.
To the best of our knowledge, this is the first report to show differences in the expression levels of lncRNAs and mRNAs in the sperms of rats with DIO and normal rats, and to determine the expression profile of lncRNAs in the sperm of rats with DIO. Our results have revealed a number of lncRNAs and pathways associated with obesity-induced infertility, including metabolic pathways. These pathways could be new candidates that help cope with and investigate the mechanisms behind the progression of obesity-induced male infertility.</description><subject>Biochemistry</subject><subject>Bioinformatics</subject><subject>Causes of</subject><subject>Cell cycle</subject><subject>Complications and side effects</subject><subject>Data analysis</subject><subject>Developmental Biology</subject><subject>Diabetes</subject><subject>DNA microarrays</subject><subject>Epigenetics</subject><subject>Fat metabolism</subject><subject>Gene expression</subject><subject>Genomes</subject><subject>Health aspects</subject><subject>High fat diet</subject><subject>Hybridization</subject><subject>Infertility</subject><subject>Long noncoding RNA</subject><subject>Male infertility</subject><subject>Medicine</subject><subject>Metabolic pathways</subject><subject>Metabolic Sciences</subject><subject>Metabolism</subject><subject>Microarray analysis</subject><subject>Molecular Biology</subject><subject>Motility</subject><subject>Obesity</subject><subject>Physiological aspects</subject><subject>Physiology</subject><subject>Polymerase chain reaction</subject><subject>Reproductive system</subject><subject>Rodents</subject><subject>Semen</subject><subject>Software</subject><subject>Sperm</subject><subject>Statistical analysis</subject><subject>Studies</subject><subject>Zoology</subject><issn>2167-8359</issn><issn>2167-8359</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkl2L1DAUhoso7rLujT9AAoKIMGObNk16IwyLHwuLgqzX4TQ5mWZokzFpHefOn266s64zYnKR5Jwn70kOb5Y9L_Il5wV_u0UMm2XJCvEoO6dFzReiZM3jo_1ZdhnjJk9D0DoX5dPsjApeF1wU59mv2w6JtsZgQKeQWEfw5zZgjNY74g3pvVsT553y2qbd18-rOEMBRhJxQJcOelKoSbsnnV13C5My2uJIdhAJxOiVhTHld3bsyIAjtL63imxh7Hawj8-yJwb6iJf360X27cP726tPi5svH6-vVjcLVRVMLICXuRK0MUYgNTkvFRealqaiuq0BRF0Dp1CwHFhaRYpTzSHnphVUaNOWF9n1QVd72MhtsAOEvfRg5V3Ah7WEMFrVo6yVgUaXhlODFVd5qphqtIxVbQPpGUnr3UFrO7UDaoVuDNCfiJ5mnO3k2v-QjJV5I0QSeH0vEPz3CeMoBxsV9j049FOURUMZ5bzKq4S-_Afd-Cm41KpEsRmjovxLrSF9wDrjU101i8pV1TSFYILN1PI_VJoaB6u8Q2NT_OTCq6MLHUI_dtH305jMEU_BNwdQBR9jQPPQjCKXs0_lnU_l7NMEvzhu3wP6x5Xlb6--43I</recordid><startdate>20170725</startdate><enddate>20170725</enddate><creator>An, Tian</creator><creator>Fan, Hui</creator><creator>Liu, Yu F</creator><creator>Pan, Yan Y</creator><creator>Liu, Ying K</creator><creator>Mo, Fang F</creator><creator>Gu, Yu J</creator><creator>Sun, Ya L</creator><creator>Zhao, Dan D</creator><creator>Yu, Na</creator><creator>Ma, Yue</creator><creator>Liu, Chen Y</creator><creator>Wang, Qiu L</creator><creator>Li, Zheng Y</creator><creator>Teng, Fei</creator><creator>Gao, Si Hua</creator><creator>Jiang, Guang J</creator><general>PeerJ. 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Long noncoding RNAs (lncRNAs) have also been reported to be associated with male reproductive diseases; however, their role in the association between high-fat diet-induced obesity (DIO) and male reproduction remains unclear.
We used microarray analysis to compare the expression levels of lncRNAs and mRNAs in the spermatozoa of rats with DIO and normal rats. We selected a few lncRNAs that were obviously up-regulated or down-regulated, and then used RT-PCR to verify the accuracy of their expression. We then performed a functional enrichment analysis of the differentially expressed mRNAs using gene ontology and pathway analysis. Finally, target gene predictive analysis was used to explore the relationship between lncRNAs and mRNAs.
The results revealed a statistically significant difference in the fasting blood glucose level in rats with DIO and control rats. We found that 973 lncRNAs and 2,994 mRNAs were differentially expressed in the sperm samples of the DIO rats, compared to the controls. GO enrichment analysis revealed 263 biological process terms, 39 cellular component terms, and 40 molecular function terms (
< 0.01) in the differentially expressed mRNAs. The pathway analysis showed that metabolic pathways were most enriched in protein-coding genes.
To the best of our knowledge, this is the first report to show differences in the expression levels of lncRNAs and mRNAs in the sperms of rats with DIO and normal rats, and to determine the expression profile of lncRNAs in the sperm of rats with DIO. Our results have revealed a number of lncRNAs and pathways associated with obesity-induced infertility, including metabolic pathways. These pathways could be new candidates that help cope with and investigate the mechanisms behind the progression of obesity-induced male infertility.</abstract><cop>United States</cop><pub>PeerJ. Ltd</pub><pmid>28761781</pmid><doi>10.7717/peerj.3518</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Biochemistry Bioinformatics Causes of Cell cycle Complications and side effects Data analysis Developmental Biology Diabetes DNA microarrays Epigenetics Fat metabolism Gene expression Genomes Health aspects High fat diet Hybridization Infertility Long noncoding RNA Male infertility Medicine Metabolic pathways Metabolic Sciences Metabolism Microarray analysis Molecular Biology Motility Obesity Physiological aspects Physiology Polymerase chain reaction Reproductive system Rodents Semen Software Sperm Statistical analysis Studies Zoology |
| title | The difference in expression of long noncoding RNAs in rat semen induced by high-fat diet was associated with metabolic pathways |
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