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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
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.
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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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