Literature DB >> 32203114

Metabolic profiling of tissue-specific insulin resistance in human obesity: results from the Diogenes study and the Maastricht Study.

Ellen E Blaak1,2, Ilja C W Arts3,4,5, Nicole Vogelzangs6,7,8, Carla J H van der Kallen5,9, Marleen M J van Greevenbroek5,9, Birgitta W van der Kolk1,2, Johan W E Jocken1,2, Gijs H Goossens1,2, Nicolaas C Schaper5,9, Ronald M A Henry5,9, Simone J P M Eussen3,5,10, Armand Valsesia11, Thomas Hankemeier12, Arne Astrup13, Wim H M Saris1,2, Coen D A Stehouwer5,9.   

Abstract

BACKGROUND: Recent evidence indicates that insulin resistance (IR) in obesity may develop independently in different organs, representing different etiologies toward type 2 diabetes and other cardiometabolic diseases. The aim of this study was to investigate whether IR in the liver and IR in skeletal muscle are associated with distinct metabolic profiles.
METHODS: This study includes baseline data from 634 adults with overweight or obesity (BMI ≥ 27 kg/m2) (≤65 years; 63% women) without diabetes of the European Diogenes Study. Hepatic insulin resistance index (HIRI) and muscle insulin sensitivity index (MISI), were derived from a five-point OGTT. At baseline 17 serum metabolites were identified and quantified by nuclear-magnetic-resonance spectroscopy. Linear mixed model analyses (adjusting for center, sex, body mass index (BMI), waist-to-hip ratio) were used to associate HIRI and MISI with these metabolites. In an independent sample of 540 participants without diabetes (BMI ≥ 27 kg/m2; 40-65 years; 46% women) of the Maastricht Study, an observational prospective population-based cohort study, 11 plasma metabolites and a seven-point OGTT were available for validation.
RESULTS: Both HIRI and MISI were associated with higher levels of valine, isoleucine, oxo-isovaleric acid, alanine, lactate, and triglycerides, and lower levels of glycine (all p < 0.05). HIRI was also associated with higher levels of leucine, hydroxyisobutyrate, tyrosine, proline, creatine, and n-acetyl and lower levels of acetoacetate and 3-OH-butyrate (all p < 0.05). Except for valine, these results were replicated for all available metabolites in the Maastricht Study.
CONCLUSIONS: In persons with obesity without diabetes, both liver and muscle IR show a circulating metabolic profile of elevated (branched-chain) amino acids, lactate, and triglycerides, and lower glycine levels, but only liver IR associates with lower ketone body levels and elevated ketogenic amino acids in circulation, suggestive of decreased ketogenesis. This knowledge might enhance developments of more targeted tissue-specific interventions to prevent progression to more severe disease stages.

Entities:  

Year:  2020        PMID: 32203114     DOI: 10.1038/s41366-020-0565-z

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN: 0307-0565            Impact factor:   5.095


  43 in total

1.  Locating the source of hyperglycemia: liver versus muscle.

Authors:  Haoyong Yu; Dequan Zhou; Weiping Jia; ZengKui Guo
Journal:  J Diabetes       Date:  2012-03       Impact factor: 4.006

2.  The insulin resistance phenotype (muscle or liver) interacts with the type of diet to determine changes in disposition index after 2 years of intervention: the CORDIOPREV-DIAB randomised clinical trial.

Authors:  Ruth Blanco-Rojo; Juan F Alcala-Diaz; Suzan Wopereis; Pablo Perez-Martinez; Gracia M Quintana-Navarro; Carmen Marin; Jose M Ordovas; Ben van Ommen; Francisco Perez-Jimenez; Javier Delgado-Lista; Jose Lopez-Miranda
Journal:  Diabetologia       Date:  2015-10-16       Impact factor: 10.122

Review 3.  Targeting fatty acid metabolism to improve glucose metabolism.

Authors:  R Stinkens; G H Goossens; J W E Jocken; E E Blaak
Journal:  Obes Rev       Date:  2015-07-16       Impact factor: 9.213

Review 4.  Ectopic fat in insulin resistance, dyslipidemia, and cardiometabolic disease.

Authors:  Gerald I Shulman
Journal:  N Engl J Med       Date:  2014-09-18       Impact factor: 91.245

Review 5.  Tissue-specific insulin signaling, metabolic syndrome, and cardiovascular disease.

Authors:  Christian Rask-Madsen; C Ronald Kahn
Journal:  Arterioscler Thromb Vasc Biol       Date:  2012-09       Impact factor: 8.311

Review 6.  Metformin and metabolic diseases: a focus on hepatic aspects.

Authors:  Juan Zheng; Shih-Lung Woo; Xiang Hu; Rachel Botchlett; Lulu Chen; Yuqing Huo; Chaodong Wu
Journal:  Front Med       Date:  2015-02-12       Impact factor: 4.592

Review 7.  Mechanisms linking obesity to insulin resistance and type 2 diabetes.

Authors:  Steven E Kahn; Rebecca L Hull; Kristina M Utzschneider
Journal:  Nature       Date:  2006-12-14       Impact factor: 49.962

Review 8.  Determinants and Consequences of Obesity.

Authors:  Adela Hruby; JoAnn E Manson; Lu Qi; Vasanti S Malik; Eric B Rimm; Qi Sun; Walter C Willett; Frank B Hu
Journal:  Am J Public Health       Date:  2016-07-26       Impact factor: 9.308

Review 9.  Metabolomics and Type 2 Diabetes: Translating Basic Research into Clinical Application.

Authors:  Matthias S Klein; Jane Shearer
Journal:  J Diabetes Res       Date:  2015-11-09       Impact factor: 4.011

10.  A heterogeneous response of liver and skeletal muscle fat to the combination of a Paleolithic diet and exercise in obese individuals with type 2 diabetes: a randomised controlled trial.

Authors:  Julia Otten; Andreas Stomby; Maria Waling; Andreas Isaksson; Ingegerd Söderström; Mats Ryberg; Michael Svensson; Jón Hauksson; Tommy Olsson
Journal:  Diabetologia       Date:  2018-04-26       Impact factor: 10.122

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4.  Association between triglyceride glucose index and peak growth hormone in children with short stature.

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Review 5.  Goals in Nutrition Science 2020-2025.

Authors:  Josep Bassaganya-Riera; Elliot M Berry; Ellen E Blaak; Barbara Burlingame; Johannes le Coutre; Willem van Eden; Ahmed El-Sohemy; J Bruce German; Dietrich Knorr; Christophe Lacroix; Maurizio Muscaritoli; David C Nieman; Michael Rychlik; Andrew Scholey; Mauro Serafini
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6.  Associations of Metabolic/Obesity Phenotypes with Insulin Resistance and C-Reactive Protein: Results from the CNTR Study.

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Journal:  Diabetes Metab Syndr Obes       Date:  2021-03-15       Impact factor: 3.168

7.  Pre- versus post-operative untargeted plasma nuclear magnetic resonance spectroscopy metabolomics of pheochromocytoma and paraganglioma.

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Journal:  Endocrine       Date:  2021-09-18       Impact factor: 3.633

8.  Sexual Dimorphism in Body Weight Loss, Improvements in Cardiometabolic Risk Factors and Maintenance of Beneficial Effects 6 Months after a Low-Calorie Diet: Results from the Randomized Controlled DiOGenes Trial.

Authors:  Inez Trouwborst; Gijs H Goossens; Arne Astrup; Wim H M Saris; Ellen E Blaak
Journal:  Nutrients       Date:  2021-05-10       Impact factor: 5.717

Review 9.  Sample Preparation Methods for Lipidomics Approaches Used in Studies of Obesity.

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Journal:  Molecules       Date:  2020-11-13       Impact factor: 4.411

10.  The PERSonalized Glucose Optimization Through Nutritional Intervention (PERSON) Study: Rationale, Design and Preliminary Screening Results.

Authors:  Anouk Gijbels; Inez Trouwborst; Kelly M Jardon; Gabby B Hul; Els Siebelink; Suzanne M Bowser; Dilemin Yildiz; Lisa Wanders; Balázs Erdos; Dick H J Thijssen; Edith J M Feskens; Gijs H Goossens; Lydia A Afman; Ellen E Blaak
Journal:  Front Nutr       Date:  2021-06-30
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