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Type 2 diabetes and obesity induce similar transcriptional reprogramming in human myocytes
BACKGROUND: Skeletal muscle is one of the primary tissues involved in the development of type 2 diabetes (T2D). The close association between obesity and T2D makes it difficult to isolate specific effects attributed to the disease alone. Therefore, here we set out to identify and characterize intrin...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5444103/ https://www.ncbi.nlm.nih.gov/pubmed/28545587 http://dx.doi.org/10.1186/s13073-017-0432-2 |
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author | Väremo, Leif Henriksen, Tora Ida Scheele, Camilla Broholm, Christa Pedersen, Maria Uhlén, Mathias Pedersen, Bente Klarlund Nielsen, Jens |
author_facet | Väremo, Leif Henriksen, Tora Ida Scheele, Camilla Broholm, Christa Pedersen, Maria Uhlén, Mathias Pedersen, Bente Klarlund Nielsen, Jens |
author_sort | Väremo, Leif |
collection | PubMed |
description | BACKGROUND: Skeletal muscle is one of the primary tissues involved in the development of type 2 diabetes (T2D). The close association between obesity and T2D makes it difficult to isolate specific effects attributed to the disease alone. Therefore, here we set out to identify and characterize intrinsic properties of myocytes, associated independently with T2D or obesity. METHODS: We generated and analyzed RNA-seq data from primary differentiated myotubes from 24 human subjects, using a factorial design (healthy/T2D and non-obese/obese), to determine the influence of each specific factor on genome-wide transcription. This setup enabled us to identify intrinsic properties, originating from muscle precursor cells and retained in the corresponding myocytes. Bioinformatic and statistical methods, including differential expression analysis, gene-set analysis, and metabolic network analysis, were used to characterize the different myocytes. RESULTS: We found that the transcriptional program associated with obesity alone was strikingly similar to that induced specifically by T2D. We identified a candidate epigenetic mechanism, H3K27me3 histone methylation, mediating these transcriptional signatures. T2D and obesity were independently associated with dysregulated myogenesis, down-regulated muscle function, and up-regulation of inflammation and extracellular matrix components. Metabolic network analysis identified that in T2D but not obesity a specific metabolite subnetwork involved in sphingolipid metabolism was transcriptionally regulated. CONCLUSIONS: Our findings identify inherent characteristics in myocytes, as a memory of the in vivo phenotype, without the influence from a diabetic or obese extracellular environment, highlighting their importance in the development of T2D. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-017-0432-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5444103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54441032017-05-25 Type 2 diabetes and obesity induce similar transcriptional reprogramming in human myocytes Väremo, Leif Henriksen, Tora Ida Scheele, Camilla Broholm, Christa Pedersen, Maria Uhlén, Mathias Pedersen, Bente Klarlund Nielsen, Jens Genome Med Research BACKGROUND: Skeletal muscle is one of the primary tissues involved in the development of type 2 diabetes (T2D). The close association between obesity and T2D makes it difficult to isolate specific effects attributed to the disease alone. Therefore, here we set out to identify and characterize intrinsic properties of myocytes, associated independently with T2D or obesity. METHODS: We generated and analyzed RNA-seq data from primary differentiated myotubes from 24 human subjects, using a factorial design (healthy/T2D and non-obese/obese), to determine the influence of each specific factor on genome-wide transcription. This setup enabled us to identify intrinsic properties, originating from muscle precursor cells and retained in the corresponding myocytes. Bioinformatic and statistical methods, including differential expression analysis, gene-set analysis, and metabolic network analysis, were used to characterize the different myocytes. RESULTS: We found that the transcriptional program associated with obesity alone was strikingly similar to that induced specifically by T2D. We identified a candidate epigenetic mechanism, H3K27me3 histone methylation, mediating these transcriptional signatures. T2D and obesity were independently associated with dysregulated myogenesis, down-regulated muscle function, and up-regulation of inflammation and extracellular matrix components. Metabolic network analysis identified that in T2D but not obesity a specific metabolite subnetwork involved in sphingolipid metabolism was transcriptionally regulated. CONCLUSIONS: Our findings identify inherent characteristics in myocytes, as a memory of the in vivo phenotype, without the influence from a diabetic or obese extracellular environment, highlighting their importance in the development of T2D. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-017-0432-2) contains supplementary material, which is available to authorized users. BioMed Central 2017-05-25 /pmc/articles/PMC5444103/ /pubmed/28545587 http://dx.doi.org/10.1186/s13073-017-0432-2 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Väremo, Leif Henriksen, Tora Ida Scheele, Camilla Broholm, Christa Pedersen, Maria Uhlén, Mathias Pedersen, Bente Klarlund Nielsen, Jens Type 2 diabetes and obesity induce similar transcriptional reprogramming in human myocytes |
title | Type 2 diabetes and obesity induce similar transcriptional reprogramming in human myocytes |
title_full | Type 2 diabetes and obesity induce similar transcriptional reprogramming in human myocytes |
title_fullStr | Type 2 diabetes and obesity induce similar transcriptional reprogramming in human myocytes |
title_full_unstemmed | Type 2 diabetes and obesity induce similar transcriptional reprogramming in human myocytes |
title_short | Type 2 diabetes and obesity induce similar transcriptional reprogramming in human myocytes |
title_sort | type 2 diabetes and obesity induce similar transcriptional reprogramming in human myocytes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5444103/ https://www.ncbi.nlm.nih.gov/pubmed/28545587 http://dx.doi.org/10.1186/s13073-017-0432-2 |
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