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Human and mouse muscle transcriptomic analyses identify insulin receptor mRNA downregulation in hyperinsulinemia-associated insulin resistance.

ABSTRACT: Hyperinsulinemia is commonly viewed as a compensatory response to insulin resistance, yet studies have demonstrated that chronically elevated insulin may also drive insulin resistance. The molecular mechanisms underpinning this potentially cyclic process remain poorly defined, especially on a transcriptome-wide level. Transcriptomic meta-analysis in >450 human samples demonstrated that fasting insulin reliably and negatively correlated with INSR mRNA in skeletal muscle. To establish causality and study the direct effects of prolonged exposure to excess insulin in muscle cells, we incubated C2C12 myotubes with elevated insulin for 16 h, followed by 6 h of serum starvation, and established that acute AKT and ERK signaling were attenuated in this model of in vitro hyperinsulinemia. Global RNA-sequencing of cells both before and after nutrient withdrawal highlighted genes in the insulin receptor (INSR) signaling, FOXO signaling, and glucose metabolism pathways indicative of 'hyperinsulinemia' and 'starvation' programs. Consistently, we observed that hyperinsulinemia led to a substantial reduction in Insr gene expression, and subsequently a reduced surface INSR and total INSR protein, both in vitro and in vivo. Bioinformatic modeling combined with RNAi identified SIN3A as a negative regulator of Insr mRNA (and JUND, MAX, and MXI as positive regulators of Irs2 mRNA). Together, our analysis identifies mechanisms which may explain the cyclic processes underlying hyperinsulinemia-induced insulin resistance in muscle, a process directly relevant to the etiology and disease progression of type 2 diabetes.

SUBMITTER: Cen HH

PROVIDER: S-EPMC9255858 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Human and mouse muscle transcriptomic analyses identify insulin receptor mRNA downregulation in hyperinsulinemia-associated insulin resistance

Project description:Hyperinsulinemia is often viewed as compensatory to insulin resistance, but studies have shown that high levels of insulin may contribute to insulin resistance. The precise mechanisms by which hyperinsulinemia contributes to insulin resistance remain poorly defined. To understand direct effects of prolonged exposure to excess insulin in muscle cells, we incubated differentiated C2C12 myotubes with elevated insulin for 16 hours, followed by 6 hours serum starvation, before examining key insulin signaling nodes. Using this model, we found that prolonged high insulin treatment significantly increased the phosphorylation of insulin receptor (INSR) and AKT, but not ERK. After starvation, acute AKT and ERK signaling stimulated by 0.2 - 20 nM insulin was attenuated. INSR protein was significantly downregulated by hyperinsulinemia in a insulin-dose-dependent manner. Surface INSR was reduced proportionally to total INSR levels. Mechanistically, we found that hyperinsulinemia strongly downregulated Insr mRNA, which was correlated with increased threonine 24 phosphorylation of FOXO1. Interestingly, 6h starvation reversed the effects of high insulin on basal phosphorylation of INSR, AKT and FOXO1, and Insr transcription. Using RNAseq, bioinformatics, and follow-up RNAi studies, we identified SIN3A as a negative regulator of Insr mRNA levels and JUND, MAX and MXI as positive regulators of Irs2 mRNA. We validated our in vitro results by determining that INSR levels in mouse skeletal muscle were negatively correlated with circulating insulin in vivo. Together, our findings shed new light on the mechanisms underlying hyperinsulinemia-induced insulin resistance in muscle cells, which are likely to be relevant in the pathogenesis of type 2 diabetes.

2020-12-31 | GSE147422 | GEO

Human and mouse muscle transcriptomic analyses identify insulin receptor mRNA downregulation in hyperinsulinemia-associated insulin resistance

Project description:Human and mouse muscle transcriptomic analyses identify insulin receptor mRNA downregulation in hyperinsulinemia-associated insulin resistance

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Leveraging genetic diversity to identify small molecules that reverse mouse skeletal muscle insulin resistance.

Project description:Systems genetics has begun to tackle the complexity of insulin resistance by capitalising on computational advances to study high-diversity populations. 'Diversity Outbred in Australia (DOz)' is a population of genetically unique mice with profound metabolic heterogeneity. We leveraged this variance to explore skeletal muscle's contribution to whole-body insulin action through metabolic phenotyping and skeletal muscle proteomics of 215 DOz mice. Linear modelling identified 553 proteins that associated with whole-body insulin sensitivity (Matsuda Index) including regulators of endocytosis and muscle proteostasis. To enrich for causality, we refined this network by focusing on negatively associated, genetically regulated proteins, resulting in a 76-protein fingerprint of insulin resistance. We sought to perturb this network and restore insulin action with small molecules by integrating the Broad Institute Connectivity Map platform and in vitro assays of insulin action using the Prestwick chemical library. These complementary approaches identified the antibiotic thiostrepton as an insulin resistance reversal agent. Subsequent validation in ex vivo insulin-resistant mouse muscle and palmitate-induced insulin-resistant myotubes demonstrated potent insulin action restoration, potentially via upregulation of glycolysis. This work demonstrates the value of a drug-centric framework to validate systems-level analysis by identifying potential therapeutics for insulin resistance.

| S-EPMC10371229 | biostudies-literature

Hyperinsulinemia and Insulin Resistance in Dopamine ?-Hydroxylase Deficiency.

Project description:Dopamine ?-hydroxylase (DBH) deficiency is a rare genetic disorder characterized by failure to convert dopamine to norepinephrine. DBH-deficient patients lack sympathetic adrenergic function and are therefore predisposed to orthostatic hypotension. DBH-deficient mice exhibit hyperinsulinemia, lower plasma glucose levels, and insulin resistance due to loss of tonic sympathetic inhibition of insulin secretion. The impact of DBH deficiency on glucose homeostasis in humans is unknown.We describe the metabolic profile of an adolescent female DBH-deficient patient. The patient underwent genetic testing, cardiovascular autonomic function testing, and evaluation of insulin secretion and sensitivity with hyperglycemic clamp under treatment-naive conditions. All procedures were repeated after 1 year of treatment with the norepinephrine prodrug droxidopa (300 mg, 3 times a day). Genetic testing showed a homozygous mutation in the DBH gene (rs74853476). Under treatment-naive conditions, she had undetectable plasma epinephrine and norepinephrine levels, resulting in sympathetic noradrenergic failure and orthostatic hypotension (-32 mm Hg supine to seated). She had high adiposity (41%) and fasting plasma insulin levels (25 ?U/mL), with normal glucose (91 mg/dL). Hyperglycemic clamp revealed increased glucose-stimulated insulin secretion and insulin resistance. Droxidopa restored plasma norepinephrine and improved orthostatic tolerance, with modest effects on glucose homeostasis.We provide evidence for impairment in cardiovascular autonomic regulation, hyperinsulinemia, enhanced glucose-stimulated insulin secretion, and insulin resistance in a DBH-deficient patient. These metabolic derangements were not corrected by chronic droxidopa treatment. These findings provide insight into the pathophysiology and treatment of DBH deficiency and into the importance of catecholaminergic mechanisms to resting metabolism.

| S-EPMC5413093 | biostudies-literature

Insulin resistance, hyperinsulinemia, and energy intake in overweight children.

Project description:ObjectiveTo examine the relationship between energy intake during a buffet meal and indexes of insulin dynamics in overweight children.Study designNinety-five nondiabetic, overweight (body mass index > or = 95th percentile) children (age 10.3 +/- 1.4 years) selected lunch from a 9835-kcal buffet eaten ad libitum after an overnight fast. The associations between energy intake and measures of insulin dynamics, in the postabsorptive state and during a 2-hour hyperglycemic clamp, were determined. Covariates in the statistical model included race, sex, skeletal age, fat-free mass, fat mass, socioeconomic status, and number of foods in the buffet rated as acceptable.ResultsEnergy intake was positively associated with the fasting homeostasis model assessment for insulin resistance index (beta = 0.24, P = .042), fasting insulin/glucose ratio (beta = 0.24, P = .044), first-phase insulin (beta = 0.23, P = .032), and first-phase C-peptide (beta = 0.21, P = .046); energy intake was negatively associated with clamp-derived insulin sensitivity (beta = -0.29, P = .042). Each 10% decrease in clamp-derived insulin sensitivity predicted a 27-kcal greater energy intake.ConclusionsInsulin resistance and hyperinsulinemia are associated with greater energy intake after an overnight fast in overweight children. These associations suggest mechanisms whereby insulin resistance may contribute to excessive weight gain in children.

| S-EPMC2276579 | biostudies-literature

Liver sinusoidal endothelial cells link hyperinsulinemia to hepatic insulin resistance.

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| S-EPMC3636600 | biostudies-literature

Hyperinsulinemia is associated with altered insulin receptor mRNA splicing in muscle of the spontaneously obese diabetic rhesus monkey.

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Low-dose naltrexone rescues inflammation and insulin resistance associated with hyperinsulinemia.

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Leveraging genetic diversity to identify small molecules that reverse mouse skeletal muscle insulin resistance

Project description:Systems genetics has begun to tackle the complexity of insulin resistance by capitalising on computational advances to study high-diversity populations. “Diversity Outbred in Australia (DOz)” is a population of genetically unique mice with profound metabolic heterogeneity. We leveraged this variance to explore skeletal muscle’s contribution to whole-body insulin action through metabolic phenotyping and skeletal muscle proteomics of 215 DOz mice. Linear modelling identified 553 proteins that associated with whole-body insulin sensitivity (Matsuda Index) including regulators of endocytosis and muscle proteostasis. To enrich for causality, we refined this network by focussing on negatively associated, genetically regulated proteins, resulting in a 76-protein fingerprint of insulin resistance. We sought to perturb this network and restore insulin action with small molecules by integrating the Broad Institute Connectivity Map platform and in vitro assays of insulin action using the Prestwick chemical library. These complimentary approaches identified the antibiotic thiostrepton as an insulin resistance reversal agent. Subsequent validation in ex vivo insulin resistant mouse muscle, and palmitate induced insulin resistant myotubes demonstrated potent insulin action restoration, potentially via up-regulation of glycolysis. This work demonstrates the value of a drug-centric framework to validate systems level analysis by identifying potential therapeutics for insulin resistance.

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