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Multi-omic profiles of human non-alcoholic fatty liver disease tissue highlight heterogenic phenotypes
Non-alcoholic fatty liver disease (NAFLD) is a consequence of sedentary life style and high fat diets with an estimated prevalence of about 30% in western countries. It is associated with insulin resistance, obesity, glucose intolerance and drug toxicity. Additionally, polymorphisms within, e.g., AP...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4672680/ https://www.ncbi.nlm.nih.gov/pubmed/26646939 http://dx.doi.org/10.1038/sdata.2015.68 |
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author | Wruck, Wasco Kashofer, Karl Rehman, Samrina Daskalaki, Andriani Berg, Daniela Gralka, Ewa Jozefczuk, Justyna Drews, Katharina Pandey, Vikash Regenbrecht, Christian Wierling, Christoph Turano, Paola Korf, Ulrike Zatloukal, Kurt Lehrach, Hans Westerhoff, Hans V. Adjaye, James |
author_facet | Wruck, Wasco Kashofer, Karl Rehman, Samrina Daskalaki, Andriani Berg, Daniela Gralka, Ewa Jozefczuk, Justyna Drews, Katharina Pandey, Vikash Regenbrecht, Christian Wierling, Christoph Turano, Paola Korf, Ulrike Zatloukal, Kurt Lehrach, Hans Westerhoff, Hans V. Adjaye, James |
author_sort | Wruck, Wasco |
collection | PubMed |
description | Non-alcoholic fatty liver disease (NAFLD) is a consequence of sedentary life style and high fat diets with an estimated prevalence of about 30% in western countries. It is associated with insulin resistance, obesity, glucose intolerance and drug toxicity. Additionally, polymorphisms within, e.g., APOC3, PNPLA3, NCAN, TM6SF2 and PPP1R3B, correlate with NAFLD. Several studies have already investigated later stages of the disease. This study explores the early steatosis stage of NAFLD with the aim of identifying molecular mechanisms underlying the etiology of NAFLD. We analyzed liver biopsies and serum samples from patients with high- and low-grade steatosis (also pre-disease states) employing transcriptomics, ELISA-based serum protein analyses and metabolomics. Here, we provide a detailed description of the various related datasets produced in the course of this study. These datasets may help other researchers find new clues for the etiology of NAFLD and the mechanisms underlying its progression to more severe disease states. |
format | Online Article Text |
id | pubmed-4672680 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46726802015-12-10 Multi-omic profiles of human non-alcoholic fatty liver disease tissue highlight heterogenic phenotypes Wruck, Wasco Kashofer, Karl Rehman, Samrina Daskalaki, Andriani Berg, Daniela Gralka, Ewa Jozefczuk, Justyna Drews, Katharina Pandey, Vikash Regenbrecht, Christian Wierling, Christoph Turano, Paola Korf, Ulrike Zatloukal, Kurt Lehrach, Hans Westerhoff, Hans V. Adjaye, James Sci Data Data Descriptor Non-alcoholic fatty liver disease (NAFLD) is a consequence of sedentary life style and high fat diets with an estimated prevalence of about 30% in western countries. It is associated with insulin resistance, obesity, glucose intolerance and drug toxicity. Additionally, polymorphisms within, e.g., APOC3, PNPLA3, NCAN, TM6SF2 and PPP1R3B, correlate with NAFLD. Several studies have already investigated later stages of the disease. This study explores the early steatosis stage of NAFLD with the aim of identifying molecular mechanisms underlying the etiology of NAFLD. We analyzed liver biopsies and serum samples from patients with high- and low-grade steatosis (also pre-disease states) employing transcriptomics, ELISA-based serum protein analyses and metabolomics. Here, we provide a detailed description of the various related datasets produced in the course of this study. These datasets may help other researchers find new clues for the etiology of NAFLD and the mechanisms underlying its progression to more severe disease states. Nature Publishing Group 2015-12-08 /pmc/articles/PMC4672680/ /pubmed/26646939 http://dx.doi.org/10.1038/sdata.2015.68 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
spellingShingle | Data Descriptor Wruck, Wasco Kashofer, Karl Rehman, Samrina Daskalaki, Andriani Berg, Daniela Gralka, Ewa Jozefczuk, Justyna Drews, Katharina Pandey, Vikash Regenbrecht, Christian Wierling, Christoph Turano, Paola Korf, Ulrike Zatloukal, Kurt Lehrach, Hans Westerhoff, Hans V. Adjaye, James Multi-omic profiles of human non-alcoholic fatty liver disease tissue highlight heterogenic phenotypes |
title | Multi-omic profiles of human non-alcoholic fatty liver disease tissue highlight heterogenic phenotypes |
title_full | Multi-omic profiles of human non-alcoholic fatty liver disease tissue highlight heterogenic phenotypes |
title_fullStr | Multi-omic profiles of human non-alcoholic fatty liver disease tissue highlight heterogenic phenotypes |
title_full_unstemmed | Multi-omic profiles of human non-alcoholic fatty liver disease tissue highlight heterogenic phenotypes |
title_short | Multi-omic profiles of human non-alcoholic fatty liver disease tissue highlight heterogenic phenotypes |
title_sort | multi-omic profiles of human non-alcoholic fatty liver disease tissue highlight heterogenic phenotypes |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4672680/ https://www.ncbi.nlm.nih.gov/pubmed/26646939 http://dx.doi.org/10.1038/sdata.2015.68 |
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