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Human hepatic gene expression signature of non-alcoholic fatty liver disease progression, a meta-analysis
Non-alcoholic fatty liver disease (NAFLD) is a wide-spread chronic liver condition that places patients at risk of developing cardiovascular diseases and may progress to cirrhosis or hepatocellular carcinoma if untreated. Challenges in clinical and basic research are caused by poor understanding of...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5617840/ https://www.ncbi.nlm.nih.gov/pubmed/28955037 http://dx.doi.org/10.1038/s41598-017-10930-w |
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author | Ryaboshapkina, Maria Hammar, Mårten |
author_facet | Ryaboshapkina, Maria Hammar, Mårten |
author_sort | Ryaboshapkina, Maria |
collection | PubMed |
description | Non-alcoholic fatty liver disease (NAFLD) is a wide-spread chronic liver condition that places patients at risk of developing cardiovascular diseases and may progress to cirrhosis or hepatocellular carcinoma if untreated. Challenges in clinical and basic research are caused by poor understanding of NAFLD mechanisms. The purpose of current study is to describe molecular changes occurring in human liver during NAFLD progression by defining a reproducible gene expression signature. We conduct a systematic meta-analysis of published human gene expression studies on liver biopsies and bariatric surgery samples of NAFLD patients. We relate gene expression levels with histology scores using regression models and identify a set of genes showing consistent-sign associations with NAFLD progression that are replicated in at least three independent studies. The analysis reveals genes that have not been previously characterized in the context of NAFLD such as HORMAD2 and LINC01554. In addition, we highlight biomarker opportunities for risk stratification and known drugs that could be used as tool compounds to study NAFLD in model systems. We identify gaps in current knowledge of molecular mechanisms of NAFLD progression and discuss ways to address them. Finally, we provide an extensive data supplement containing meta-analysis results in a computer-readable format. |
format | Online Article Text |
id | pubmed-5617840 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56178402017-10-11 Human hepatic gene expression signature of non-alcoholic fatty liver disease progression, a meta-analysis Ryaboshapkina, Maria Hammar, Mårten Sci Rep Article Non-alcoholic fatty liver disease (NAFLD) is a wide-spread chronic liver condition that places patients at risk of developing cardiovascular diseases and may progress to cirrhosis or hepatocellular carcinoma if untreated. Challenges in clinical and basic research are caused by poor understanding of NAFLD mechanisms. The purpose of current study is to describe molecular changes occurring in human liver during NAFLD progression by defining a reproducible gene expression signature. We conduct a systematic meta-analysis of published human gene expression studies on liver biopsies and bariatric surgery samples of NAFLD patients. We relate gene expression levels with histology scores using regression models and identify a set of genes showing consistent-sign associations with NAFLD progression that are replicated in at least three independent studies. The analysis reveals genes that have not been previously characterized in the context of NAFLD such as HORMAD2 and LINC01554. In addition, we highlight biomarker opportunities for risk stratification and known drugs that could be used as tool compounds to study NAFLD in model systems. We identify gaps in current knowledge of molecular mechanisms of NAFLD progression and discuss ways to address them. Finally, we provide an extensive data supplement containing meta-analysis results in a computer-readable format. Nature Publishing Group UK 2017-09-27 /pmc/articles/PMC5617840/ /pubmed/28955037 http://dx.doi.org/10.1038/s41598-017-10930-w Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ryaboshapkina, Maria Hammar, Mårten Human hepatic gene expression signature of non-alcoholic fatty liver disease progression, a meta-analysis |
title | Human hepatic gene expression signature of non-alcoholic fatty liver disease progression, a meta-analysis |
title_full | Human hepatic gene expression signature of non-alcoholic fatty liver disease progression, a meta-analysis |
title_fullStr | Human hepatic gene expression signature of non-alcoholic fatty liver disease progression, a meta-analysis |
title_full_unstemmed | Human hepatic gene expression signature of non-alcoholic fatty liver disease progression, a meta-analysis |
title_short | Human hepatic gene expression signature of non-alcoholic fatty liver disease progression, a meta-analysis |
title_sort | human hepatic gene expression signature of non-alcoholic fatty liver disease progression, a meta-analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5617840/ https://www.ncbi.nlm.nih.gov/pubmed/28955037 http://dx.doi.org/10.1038/s41598-017-10930-w |
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