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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Bibliographic Details
Published in:PeerJ (San Francisco, CA) CA), 2017-07, Vol.5, p.e3518-e3518, Article e3518
Main Authors: 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
Format: Article
Language:English
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
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Summary: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 (  
ISSN:2167-8359
2167-8359
DOI:10.7717/peerj.3518