Special Issue "Functional Genomics in Metabolic Diseases"

A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Technologies and Resources for Genetics".

Deadline for manuscript submissions: 20 October 2020.

Special Issue Editors

Dr. Tadeja Režen
Website
Guest Editor
University of Ljubljana, Faculty of Medicine, Ljubljana, Slovenia
Interests: functional genomics; liver; NAFLD; HCC; systems biology
Prof. Dr. Damjana Rozman
Website
Co-Guest Editor
University of Ljubljana, Faculty of Medicine, Ljubljana, Slovenia

Special Issue Information

Dear Colleagues,

Constant technological advancements in omics technologies generate vast amounts of data in medicine. Functional genomics aims to integrate these data to improve our understanding of the function of genes, RNAs, proteins or metabolites in different physiological processes. Many advancements have been made in the approaches and tools used for analyses and interpretations of such data in recent years. However, understanding the interconnections between many factors and identification of cause-and-effect in the development of human diseases is still challenging. Imbalance in metabolic homeostasis can manifest in different metabolic diseases, such as fatty liver disease, cardiovascular diseases, etc. The complex interactions between different risk factors, genetic background, lifestyle, sex, and race play a role in development, progression, and treatment success. The incidence of these diseases is increasing and so is the metabolic disease-related death rate.

This Special Issue aims to provide recent novel insights in the understanding of complex interactions between risk factors and key molecular players in the development and progression of different metabolic diseases, such as non-alcoholic fatty-liver disease and cardiovascular diseases, using different functional genomics approaches. Research and review papers bringing new insight into molecular mechanisms, diagnosis, and therapeutic approaches are welcomed.

Dr. Tadeja Režen
Prof. Dr. Damjana Rozman
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Genes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Functional genomics
  • Transcriptomics
  • Genomics
  • Bioinformatics
  • Metabolic syndrome
  • Fatty liver disease
  • Cardiovascular diseases

Published Papers (1 paper)

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Research

Open AccessArticle
Cardiac Transcriptome Analysis Reveals Nr4a1 Mediated Glucose Metabolism Dysregulation in Response to High-Fat Diet
Genes 2020, 11(7), 720; https://doi.org/10.3390/genes11070720 - 29 Jun 2020
Abstract
Obesity is associated with an increased risk of developing cardiovascular disease (CVD), with limited alterations in cardiac genomic characteristics known. Cardiac transcriptome analysis was conducted to profile gene signatures in high-fat diet (HFD)-induced obese mice. A total of 184 differentially expressed genes (DEGs) [...] Read more.
Obesity is associated with an increased risk of developing cardiovascular disease (CVD), with limited alterations in cardiac genomic characteristics known. Cardiac transcriptome analysis was conducted to profile gene signatures in high-fat diet (HFD)-induced obese mice. A total of 184 differentially expressed genes (DEGs) were identified between groups. Based on the gene ontology (GO) term enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs, the critical role of closely interlocked glucose metabolism was determined in HFD-induced cardiac remodeling DEGs, including Nr4a1, Fgf21, Slc2a3, Pck1, Gck, Hmgcs2, and Bpgm. Subsequently, the expression levels of these DEGs were evaluated in both the myocardium and palmitic acid (PA)-stimulated H9c2 cardiomyocytes using qPCR. Nr4a1 was highlighted according to its overexpression resulting from the HFD. Additionally, inhibition of Nr4a1 by siRNA reversed the PA-induced altered expression of glucose metabolism-related DEGs and hexokinase 2 (HK2), the rate-limiting enzyme in glycolysis, thus indicating that Nr4a1 could modulate glucose metabolism homeostasis by regulating the expression of key enzymes in glycolysis, which may subsequently influence cardiac function in obesity. Overall, we provide a comprehensive understanding of the myocardium transcript molecular framework influenced by HFD and propose Nr4a1 as a key glucose metabolism target in obesity-induced CVD. Full article
(This article belongs to the Special Issue Functional Genomics in Metabolic Diseases)
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