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Mechanistic insights revealed by lipid profiling in monogenic insulin resistance syndromes

BACKGROUND: Evidence from several recent metabolomic studies suggests that increased concentrations of triacylglycerols with shorter (14–16 carbon atoms), saturated fatty acids are associated with insulin resistance and the risk of type 2 diabetes. Although causality cannot be inferred from associat...

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Autores principales: Eiden, Michael, Koulman, Albert, Hatunic, Mensud, West, James A., Murfitt, Steven, Osei, Michael, Adams, Claire, Wang, Xinzhu, Chu, Yajing, Marney, Luke, Roberts, Lee D., O’Rahilly, Stephen, Semple, Robert K., Savage, David B., Griffin, Julian L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535665/
https://www.ncbi.nlm.nih.gov/pubmed/26273324
http://dx.doi.org/10.1186/s13073-015-0179-6
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author Eiden, Michael
Koulman, Albert
Hatunic, Mensud
West, James A.
Murfitt, Steven
Osei, Michael
Adams, Claire
Wang, Xinzhu
Chu, Yajing
Marney, Luke
Roberts, Lee D.
O’Rahilly, Stephen
Semple, Robert K.
Savage, David B.
Griffin, Julian L.
author_facet Eiden, Michael
Koulman, Albert
Hatunic, Mensud
West, James A.
Murfitt, Steven
Osei, Michael
Adams, Claire
Wang, Xinzhu
Chu, Yajing
Marney, Luke
Roberts, Lee D.
O’Rahilly, Stephen
Semple, Robert K.
Savage, David B.
Griffin, Julian L.
author_sort Eiden, Michael
collection PubMed
description BACKGROUND: Evidence from several recent metabolomic studies suggests that increased concentrations of triacylglycerols with shorter (14–16 carbon atoms), saturated fatty acids are associated with insulin resistance and the risk of type 2 diabetes. Although causality cannot be inferred from association studies, patients in whom the primary cause of insulin resistance can be genetically defined offer unique opportunities to address this challenge. METHODS: We compared metabolite profiles in patients with congenital lipodystrophy or loss-of-function insulin resistance (INSR gene) mutations with healthy controls. RESULTS: The absence of significant differences in triacylglycerol species in the INSR group suggest that changes previously observed in epidemiological studies are not purely a consequence of insulin resistance. The presence of triacylglycerols with lower carbon numbers and high saturation in patients with lipodystrophy suggests that these metabolite changes may be associated with primary adipose tissue dysfunction. The observed pattern of triacylglycerol species is indicative of increased de novo lipogenesis in the liver. To test this we investigated the distribution of these triacylglycerols in lipoprotein fractions using size exclusion chromatography prior to mass spectrometry. This associated these triacylglycerols with very low-density lipoprotein particles, and hence release of triacylglycerols into the blood from the liver. To test further the hepatic origin of these triacylglycerols we induced de novo lipogenesis in the mouse, comparing ob/ob and wild-type mice on a chow or high fat diet, confirming that de novo lipogenesis induced an increase in relatively shorter, more saturated fatty acids. CONCLUSIONS: Overall, these studies highlight hepatic de novo lipogenesis in the pathogenesis of metabolic dyslipidaemia in states where energy intake exceeds the capacity of adipose tissue. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0179-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-45356652015-08-14 Mechanistic insights revealed by lipid profiling in monogenic insulin resistance syndromes Eiden, Michael Koulman, Albert Hatunic, Mensud West, James A. Murfitt, Steven Osei, Michael Adams, Claire Wang, Xinzhu Chu, Yajing Marney, Luke Roberts, Lee D. O’Rahilly, Stephen Semple, Robert K. Savage, David B. Griffin, Julian L. Genome Med Research BACKGROUND: Evidence from several recent metabolomic studies suggests that increased concentrations of triacylglycerols with shorter (14–16 carbon atoms), saturated fatty acids are associated with insulin resistance and the risk of type 2 diabetes. Although causality cannot be inferred from association studies, patients in whom the primary cause of insulin resistance can be genetically defined offer unique opportunities to address this challenge. METHODS: We compared metabolite profiles in patients with congenital lipodystrophy or loss-of-function insulin resistance (INSR gene) mutations with healthy controls. RESULTS: The absence of significant differences in triacylglycerol species in the INSR group suggest that changes previously observed in epidemiological studies are not purely a consequence of insulin resistance. The presence of triacylglycerols with lower carbon numbers and high saturation in patients with lipodystrophy suggests that these metabolite changes may be associated with primary adipose tissue dysfunction. The observed pattern of triacylglycerol species is indicative of increased de novo lipogenesis in the liver. To test this we investigated the distribution of these triacylglycerols in lipoprotein fractions using size exclusion chromatography prior to mass spectrometry. This associated these triacylglycerols with very low-density lipoprotein particles, and hence release of triacylglycerols into the blood from the liver. To test further the hepatic origin of these triacylglycerols we induced de novo lipogenesis in the mouse, comparing ob/ob and wild-type mice on a chow or high fat diet, confirming that de novo lipogenesis induced an increase in relatively shorter, more saturated fatty acids. CONCLUSIONS: Overall, these studies highlight hepatic de novo lipogenesis in the pathogenesis of metabolic dyslipidaemia in states where energy intake exceeds the capacity of adipose tissue. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0179-6) contains supplementary material, which is available to authorized users. BioMed Central 2015-06-28 /pmc/articles/PMC4535665/ /pubmed/26273324 http://dx.doi.org/10.1186/s13073-015-0179-6 Text en © Eiden et al. 2015 Open Access This 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
Eiden, Michael
Koulman, Albert
Hatunic, Mensud
West, James A.
Murfitt, Steven
Osei, Michael
Adams, Claire
Wang, Xinzhu
Chu, Yajing
Marney, Luke
Roberts, Lee D.
O’Rahilly, Stephen
Semple, Robert K.
Savage, David B.
Griffin, Julian L.
Mechanistic insights revealed by lipid profiling in monogenic insulin resistance syndromes
title Mechanistic insights revealed by lipid profiling in monogenic insulin resistance syndromes
title_full Mechanistic insights revealed by lipid profiling in monogenic insulin resistance syndromes
title_fullStr Mechanistic insights revealed by lipid profiling in monogenic insulin resistance syndromes
title_full_unstemmed Mechanistic insights revealed by lipid profiling in monogenic insulin resistance syndromes
title_short Mechanistic insights revealed by lipid profiling in monogenic insulin resistance syndromes
title_sort mechanistic insights revealed by lipid profiling in monogenic insulin resistance syndromes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535665/
https://www.ncbi.nlm.nih.gov/pubmed/26273324
http://dx.doi.org/10.1186/s13073-015-0179-6
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