Dataset Information

Impact of high fat diet on long non-coding RNAs and messenger RNAs expression in the aortas of ApoE(-/-) mice.

ABSTRACT: Atherosclerosis is a chronic multifactorial inflammatory disease with high prevalence worldwide, and has become the leading cause of death. The present study was designed to investigate the impact of high-fat diet on ApoE(-/-) mice exhibiting atherosclerosis by detecting the genome-wide expression profile of lncRNAs and mRNAs. A total of 354 differentially expressed lncRNAs were identified (?2.0 folds). Simultaneously, 357 differentially expressed mRNAs from the same chip were found. The expression differences of lncRNAs and mRNAs were consistent in both qPCR and microarray detection. Annotation results of the mRNAs which correlated with lncRNAs showed that the commonly related pathways were metabolism and inflammation. Hypergeometric distribution analysis indicated that the differentially expressed lncRNAs had been mostly regulated by transcription factors (TFs) such as Myod1, Rxra, Pparg, Tcf3, etc. Additional lncRNA-target-TFs network analysis was conducted for the top 20 differentially expressed lncRNAs. The results indicated Hnf4a, Ppara, Vdr, and Runx3 as the TFs most likely to regulate the production of these lncRNAs, and might play roles in inflammatory and metabolic processes in atherosclerosis. In a nutshell, the present study identified a panel of dysregulated lncRNAs and mRNAs that may be potential biomarkers or drug targets relevant to the high-fat diet related atherogenesis.

SUBMITTER: Bao MH

PROVIDER: S-EPMC5048419 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature

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Impact of high fat diet on long non-coding RNAs and messenger RNAs expression in the aortas of ApoE(-/-) mice.

Bao Mei-Hua MH Luo Huai-Qing HQ Chen Li-Hua LH Tang Liang L Ma Kui-Fen KF Xiang Ju J Dong Li-Ping LP Zeng Jie J Li Guang-Yi GY Li Jian-Ming JM

Scientific reports 20161004

Atherosclerosis is a chronic multifactorial inflammatory disease with high prevalence worldwide, and has become the leading cause of death. The present study was designed to investigate the impact of high-fat diet on ApoE(-/-) mice exhibiting atherosclerosis by detecting the genome-wide expression profile of lncRNAs and mRNAs. A total of 354 differentially expressed lncRNAs were identified (≥2.0 folds). Simultaneously, 357 differentially expressed mRNAs from the same chip were found. The express ...[more]

PMID: 27698357

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Project description:BackgroundToxoplasma gondii is an intracellular protozoan parasite that can infect a wide range of warm-blooded animals, including humans. It poses significant health risks, particularly in immunocompromised individuals and during pregnancy, leading to severe disease manifestations. The liver, being a crucial organ involved in immune response and metabolic regulation, plays a critical role in the host's defense against T. gondii infection.MethodsIn this study, we utilized RNA sequencing to investigate the expression profiles of long non-coding RNAs (lncRNAs) and messenger RNAs (mRNAs) in the liver of mice infected with T. gondii. By employing this method, we obtained a comprehensive overview of the alterations in gene expression occurring in the liver during infection.ResultsBy comparing the infected groups to the control groups, we identified numerous differentially expressed lncRNAs DElncRNAs and DEmRNAs at two stages of infection. Specifically, at the acute infection stage, we found 628 DElncRNAs, and 6346 DEmRNAs. At the chronic infection stage, we identified 385 DElncRNAs and 2513 DEmRNAs. Furthermore, we identified 1959 commonly expressed DEmRNAs, including IL27, Nos2, and Cxcr2, across two infection stages. Enrichment and co-location analyses revealed pathways linked to immune and inflammatory responses during T. gondii infection. Notably, through co-location analysis, our analysis revealed several DElncRNAs, including Gm29156, Gm29157, and Gm28644, which are potentially implicated in the progression of liver inflammation induced by T. gondii. Additionally, functional enrichment analysis disclosed stage-specific characteristics of liver inflammation and immune response, alongside changes in metabolic regulation and immunosuppression pathways.ConclusionsOur findings provide valuable insights into the expression patterns of lncRNAs and mRNAs in the liver at different stages of T. gondii infection. We identified potential regulatory factors and pathways implicated in liver inflammation, thereby enhancing our understanding of the molecular mechanisms underlying liver inflammation and immune responses during T. gondii infection. These findings could contribute to the development of targeted therapeutic strategies for liver inflammation in the context of T. gondii infection.

Project description:Major depressive disorder is caused by gene-environment interactions and the gut microbiota plays a pivotal role in the development of depression. However, the underlying mechanisms remain elusive. Herein, the differentially expressed hippocampal long non-coding RNAs (lncRNAs), messenger RNAs (mRNAs), and microRNAs (miRNAs) between mice inoculated with gut microbiota from major depressive disorder patients or healthy controls were detected, to identify the effects of gut microbiota-dysbiosis on gene regulation patterns at the transcriptome level, and in further to explore the microbial-regulated pathological mechanisms of depression. As a result, 200 mRNAs, 358 lncRNAs, and 4 miRNAs were differentially expressed between the two groups. Functional analysis of these differential mRNAs indicated dysregulated inflammatory response to be the primary pathological change. Intersecting these differential mRNAs with targets of differentially expressed miRNAs identified 47 intersected mRNAs, which were mainly related to neurodevelopment. Additionally, a microbial-regulated lncRNA-miRNA-mRNA network based on RNA-RNA interactions was constructed. Subsequently, according to the competitive endogenous RNAs (ceRNA) hypothesis and the biological functions of these intersected genes, two neurodevelopmental ceRNA sub-networks implicating in depression were identified, one including two lncRNAs (4930417H01Rik and AI480526), one miRNA (mmu-miR-883b-3p) and two mRNAs (Adcy1 and Nr4a2), and the other including six lncRNAs (5930412G12Rik, 6430628N08Rik, A530013C23Rik, A930007I19Rik, Gm15489, and Gm16251), one miRNA (mmu-miR-377-3p) and three mRNAs (Six4, Stx16, and Ube3a), and these molecules could be recognized as potential genetic and epigenetic biomarkers in microbial-associated depression. This study provides new understanding of the pathogenesis of depression induced by gut microbiota-dysbiosis and may act as a theoretical basis for the development of gut microbiota-based antidepressants.

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Dataset Information

Impact of high fat diet on long non-coding RNAs and messenger RNAs expression in the aortas of ApoE(-/-) mice.

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Impact of high fat diet on long non-coding RNAs and messenger RNAs expression in the aortas of ApoE(-/-) mice.

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