Literature DB >> 24378567

Transcriptome and miRNA network analysis of familial hypercholesterolemia.

Haibin Chen1, Liang Wang2, Jinfa Jiang1.   

Abstract

Familial hypercholesterolemia (FH) is a genetic disorder characterized by a high serum concentration of low-density lipoprotein (LDL) cholesterol. The high LDL cholesterol level leads to an excess deposition of cholesterol in the arterial walls and accelerated atherosclerosis, thereby increasing the risk of premature coronary heart disease. In the present study, we used a DNA microarray approach to identify gene expression profiles that distinguish patients with FH from healthy control subjects. Furthermore, transcription factors (TFs), microRNAs (miRNAs), target genes and pathways were analyzed to explore the potential transcriptional interactions occurring in FH. Publicly available microarray and regulation data were used to construct a regulatory network to identify additional genes related to FH and their interactions. The results revealed that specificity protein 1 (SP1), signal transducer and activator of transcription 1 (STAT1) and spleen focus forming virus (SFFV) proviral integration oncogene spi1 (SPI1) play a central role in the FH regulatory network. In addition, the TF, upstream transcription factor 2, c-fos interacting (USF2) and the gene, Wiskott-Aldrich syndrome (WAS), were identified to be associated with FH, although no reports for these proteins exist in the literature. Overall, transcriptional network analysis proved to be effective approach to identify novel targets for FH therapy.

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Year:  2013        PMID: 24378567     DOI: 10.3892/ijmm.2013.1610

Source DB:  PubMed          Journal:  Int J Mol Med        ISSN: 1107-3756            Impact factor:   4.101


  3 in total

Review 1.  Next-generation gene discovery for variants of large impact on lipid traits.

Authors:  Elisabeth Rosenthal; Elizabeth Blue; Gail P Jarvik
Journal:  Curr Opin Lipidol       Date:  2015-04       Impact factor: 4.776

2.  Identification of hub genes and transcription factors in patients with rheumatoid arthritis complicated with atherosclerosis.

Authors:  Lu Xiao; Zhou Yang; Shudian Lin
Journal:  Sci Rep       Date:  2022-03-18       Impact factor: 4.379

Review 3.  Network Medicine: A Clinical Approach for Precision Medicine and Personalized Therapy in Coronary Heart Disease.

Authors:  Teresa Infante; Luca Del Viscovo; Maria Luisa De Rimini; Sergio Padula; Pio Caso; Claudio Napoli
Journal:  J Atheroscler Thromb       Date:  2019-11-12       Impact factor: 4.928

  3 in total

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