Literature DB >> 33730188

Defining the underlying defect in insulin action in type 2 diabetes.

Thiago M Batista1, Nida Haider1, C Ronald Kahn2.   

Abstract

Insulin resistance is one of the earliest defects in the pathogenesis of type 2 diabetes. Over the past 50 years, elucidation of the insulin signalling network has provided important mechanistic insights into the abnormalities of glucose, lipid and protein metabolism that underlie insulin resistance. In classical target tissues (liver, muscle and adipose tissue), insulin binding to its receptor initiates a broad signalling cascade mediated by changes in phosphorylation, gene expression and vesicular trafficking that result in increased nutrient utilisation and storage, and suppression of catabolic processes. Insulin receptors are also expressed in non-classical targets, such as the brain and endothelial cells, where it helps regulate appetite, energy expenditure, reproductive hormones, mood/behaviour and vascular function. Recent progress in cell biology and unbiased molecular profiling by mass spectrometry and DNA/RNA-sequencing has provided a unique opportunity to dissect the determinants of insulin resistance in type 2 diabetes and the metabolic syndrome; best studied are extrinsic factors, such as circulating lipids, amino acids and other metabolites and exosomal microRNAs. More challenging has been defining the cell-intrinsic factors programmed by genetics and epigenetics that underlie insulin resistance. In this regard, studies using human induced pluripotent stem cells and tissues point to cell-autonomous alterations in signalling super-networks, involving changes in phosphorylation and gene expression both inside and outside the canonical insulin signalling pathway. Understanding how these multi-layered molecular networks modulate insulin action and metabolism in different tissues will open new avenues for therapy and prevention of type 2 diabetes and its associated pathologies.

Entities:  

Keywords:  Cell-autonomous; Insulin action; Insulin resistance; Phosphorylation; Review; The metabolic syndrome; Tissue crosstalk; Type 2 diabetes; iPS cells

Mesh:

Substances:

Year:  2021        PMID: 33730188      PMCID: PMC8916220          DOI: 10.1007/s00125-021-05415-5

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  109 in total

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2.  Structure of the human insulin receptor gene and characterization of its promoter.

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Journal:  Proc Natl Acad Sci U S A       Date:  1989-01       Impact factor: 11.205

3.  Diabetes mellitus: its differentiation into insulin-sensitive and insulin-insensitive types. 1936.

Authors:  H P Himsworth
Journal:  Int J Epidemiol       Date:  2013-12       Impact factor: 7.196

4.  The greater contribution of gluconeogenesis to glucose production in obesity is related to increased whole-body protein catabolism.

Authors:  Stéphanie Chevalier; Shawn C Burgess; Craig R Malloy; Réjeanne Gougeon; Errol B Marliss; José A Morais
Journal:  Diabetes       Date:  2006-03       Impact factor: 9.461

5.  Insulin stimulates tyrosine phosphorylation of the insulin receptor in a cell-free system.

Authors:  M Kasuga; Y Zick; D L Blithe; M Crettaz; C R Kahn
Journal:  Nature       Date:  1982-08-12       Impact factor: 49.962

6.  Differences in signaling properties of the cytoplasmic domains of the insulin receptor and insulin-like growth factor receptor in 3T3-L1 adipocytes.

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Journal:  J Biol Chem       Date:  1999-10-22       Impact factor: 5.157

7.  Insulin receptors in the liver: specific binding of ( 125 I)insulin to the plasma membrane and its relation to insulin bioactivity.

Authors:  P Freychet; J Roth; D M Neville
Journal:  Proc Natl Acad Sci U S A       Date:  1971-08       Impact factor: 11.205

Review 8.  Insulin Receptor Isoforms in Physiology and Disease: An Updated View.

Authors:  Antonino Belfiore; Roberta Malaguarnera; Veronica Vella; Michael C Lawrence; Laura Sciacca; Francesco Frasca; Andrea Morrione; Riccardo Vigneri
Journal:  Endocr Rev       Date:  2017-10-01       Impact factor: 19.871

9.  Domain-dependent effects of insulin and IGF-1 receptors on signalling and gene expression.

Authors:  Weikang Cai; Masaji Sakaguchi; Andre Kleinridders; Gonzalo Gonzalez-Del Pino; Jonathan M Dreyfuss; Brian T O'Neill; Alfred K Ramirez; Hui Pan; Jonathon N Winnay; Jeremie Boucher; Michael J Eck; C Ronald Kahn
Journal:  Nat Commun       Date:  2017-03-27       Impact factor: 14.919

10.  Structure of the insulin receptor-insulin complex by single-particle cryo-EM analysis.

Authors:  Giovanna Scapin; Venkata P Dandey; Zhening Zhang; Winifred Prosise; Alan Hruza; Theresa Kelly; Todd Mayhood; Corey Strickland; Clinton S Potter; Bridget Carragher
Journal:  Nature       Date:  2018-02-28       Impact factor: 49.962

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  21 in total

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2.  Exercise training and de-training effects on serum leptin and TNF-α in high fat induced diabetic rats.

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3.  Signaling defects associated with insulin resistance in nondiabetic and diabetic individuals and modification by sex.

Authors:  Nida Haider; Jasmin Lebastchi; Ashok Kumar Jayavelu; Thiago M Batista; Hui Pan; Jonathan M Dreyfuss; Ivan Carcamo-Orive; Joshua W Knowles; Matthias Mann; C Ronald Kahn
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4.  Effect of obstructive sleep apnea on glucose metabolism.

Authors:  Han-Chow E Koh; Stephan van Vliet; Chao Cao; Bruce W Patterson; Dominic N Reeds; Richard Laforest; Robert J Gropler; Yo-El S Ju; Bettina Mittendorfer
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Review 5.  Activation of Insulin Signaling by Botanical Products.

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Review 6.  Effects of High-Intensity Interval Training on Inflammatory Biomarkers in Patients with Type 2 Diabetes. A Systematic Review.

Authors:  José Manuel Leiva-Valderrama; Adrián Montes-de-Oca-Garcia; Edgardo Opazo-Diaz; Jesus G Ponce-Gonzalez; Guadalupe Molina-Torres; Daniel Velázquez-Díaz; Alejandro Galán-Mercant
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7.  The hypertriglyceridemic waist phenotype is associated with fatty liver and glycometabolic profiles in overweight and obese adults: a cross-sectional study.

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Review 8.  Towards Understanding the Direct and Indirect Actions of Growth Hormone in Controlling Hepatocyte Carbohydrate and Lipid Metabolism.

Authors:  Mari C Vázquez-Borrego; Mercedes Del Rio-Moreno; Rhonda D Kineman
Journal:  Cells       Date:  2021-09-24       Impact factor: 6.600

9.  Integration of genetic colocalizations with physiological and pharmacological perturbations identifies cardiometabolic disease genes.

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Journal:  Genome Med       Date:  2022-03-15       Impact factor: 15.266

10.  Glucosamine Ameliorates Symptoms of High-Fat Diet-Fed Mice by Reversing Imbalanced Gut Microbiota.

Authors:  Xubing Yuan; Junping Zheng; Lishi Ren; Siming Jiao; Cui Feng; Yuguang Du; Hongtao Liu
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