The Role of the Insulin Receptor in Skeletal Muscle Insulin Resistance: Evaluation of Two Animal Models

The role of the insulin receptor in muscle insulin resistance was studied. Denervation of skeletal muscle resulted in the rapid appearance of a decrease in basal and insulin stimulated glucose transport, glycogen synthesis and a defect in the activation of glycogen synthase which was independent of levels of glycogen in the muscle. The effect was seen in both predominantly red and predominantly white muscle. There was no change in the denervated muscles\u27 sensitivity to epinephrine-mediated decrease in glycogen synthesis or glycogen content, nor was there a major change in the insulin binding capacity of denervated muscles. A technique was developed to investigate the properties of the insulin receptor solubilized from skeletal muscle. Freezing hindlimb muscles with subsequent powdering and homogenization with buffered Triton X-100 produced a fraction with specific insulin binding. Further purification on agarose-bound wheat germ agglutinin yielded insulin receptors with intact insulin binding, as well as insulin stimulatable autophosphorylation and exogenous substrate kinase activity. The autophosphorylation of the insulin receptor β-subunit in intact tissues was also demonstrated. The binding and kinase domains of insulin receptors solubilized from denervated skeletal muscle were identical to that from contralateral controls. No significant changes were seen in the autophosphorylation of the β-subunit in intact, denervated solei. Injection of insulin in the rat and subsequent partial purification of insulin receptors in the presence of phosphatase inhibitors allowed the demonstration of an increased kinase activity towards histone H2b as compared to saline treated rats. The increase was due to an increase in tyrosine phosphorylation attributed to the activation of the insulin receptor kinase. Again, no change in the insulin receptors from denervated muscles was observed. Streptozotocin diabetes resulted in an increase in specific insulin binding but a decrease in insulin-stimulatable autophosphorylation and tyrosine kinase activity. Structural analysis showed no change in the β-subunit but the β-subunit attained a component with a slower migration on electrophoresis. The β-subunit change was shown to be, in part, due to increased sialic acid content of the receptor subunit. The kinetic and structural changes were reversible with insulin treatment of the rat

Improved insulin sensitivity after weight loss and exercise training is mediated by a reduction in plasma fatty acid mobilization, not enhanced oxidative capacity

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/65588/1/jphysiol.2009.175489.pd

Integrated metabolome and transcriptome analysis of the NCI60 dataset

Abstract Background Metabolite profiles can be used for identifying molecular signatures and mechanisms underlying diseases since they reflect the outcome of complex upstream genomic, transcriptomic, proteomic and environmental events. The scarcity of publicly accessible large scale metabolome datasets related to human disease has been a major obstacle for assessing the potential of metabolites as biomarkers as well as understanding the molecular events underlying disease-related metabolic changes. The availability of metabolite and gene expression profiles for the NCI-60 cell lines offers the possibility of identifying significant metabolome and transcriptome features and discovering unique molecular processes related to different cancer types. Methods We utilized a combination of analytical methods in the R statistical package to evaluate metabolic features associated with cancer cell lines from different tissue origins, identify metabolite-gene correlations and detect outliers cell lines based on metabolome and transcriptome data. Statistical analysis results are integrated with metabolic pathway annotations as well as COSMIC and Tumorscape databases to explore associated molecular mechanisms. Results Our analysis reveals that although the NCI-60 metabolome dataset is quite noisy comparing with microarray-based transcriptome data, it does contain tissue origin specific signatures. We also identified biologically meaningful gene-metabolite associations. Most remarkably, several abnormal gene-metabolite relationships identified by our approach can be directly linked to known gene mutations and copy number variations in the corresponding cell lines. Conclusions Our results suggest that integrative metabolome and transcriptome analysis is a powerful method for understanding molecular machinery underlying various pathophysiological processes. We expect the availability of large scale metabolome data in the coming years will significantly promote the discovery of novel biomarkers, which will in turn improve the understanding of molecular mechanism underlying diseases.http://deepblue.lib.umich.edu/bitstream/2027.42/112946/1/12859_2011_Article_4394.pd

The impact of a managed care obesity intervention on clinical outcomes and costs: A prospective observational study

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/100261/1/oby20597.pd

Impulsivity and Inhibitory Control Deficits Are Associated With Unhealthy Eating in Young Adults

Heightened impulsivity and inefficient inhibitory control are increasingly recognized as risk factors for unhealthy eating and obesity but the underlying processes are not fully understood. We used structural equation modeling to investigate the relationships between impulsivity, inhibitory control, eating behavior, and body mass index (BMI) in 210 undergraduates who ranged from underweight to obese. We demonstrate that impulsivity and inhibitory control deficits are positively associated with several facets of unhealthy eating, including overeating in response to external food cues and in response to negative emotional states, and making food choices based on taste preferences without consideration of health value. We further show that such unhealthy eating is, for the most part, associated with increased BMI, with the exception of Restraint Eating, which is negatively associated with BMI. These results add to our understanding of the impact of individual differences in impulsivity and inhibitory control on key aspects of unhealthy eating and may have implications for the treatment and prevention of obesity

Proteomic analysis reveals perturbed energy metabolism and elevated oxidative stress in hearts of rats with inborn low aerobic capacity

Selection on running capacity has created rat phenotypes of high‐capacity runners (HCRs) that have enhanced cardiac function and low‐capacity runners (LCRs) that exhibit risk factors of metabolic syndrome. We analysed hearts of HCRs and LCRs from generation 22 of selection using DIGE and identified proteins from MS database searches. The running capacity of HCRs was six‐fold greater than LCRs. DIGE resolved 957 spots and proteins were unambiguously identified in 369 spots. Protein expression profiling detected 67 statistically significant ( p <0.05; false discovery rate <10%, calculated using q ‐values) differences between HCRs and LCRs. Hearts of HCR rats exhibited robust increases in the abundance of each enzyme of the β‐oxidation pathway. In contrast, LCR hearts were characterised by the modulation of enzymes associated with ketone body or amino acid metabolism. LCRs also exhibited enhanced expression of antioxidant enzymes such as catalase and greater phosphorylation of α B‐crystallin at serine 59, which is a common point of convergence in cardiac stress signalling. Thus, proteomic analysis revealed selection on low running capacity is associated with perturbations in cardiac energy metabolism and provided the first evidence that the LCR cardiac proteome is exposed to greater oxidative stress.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/86916/1/3369_ftp.pd

Associations of the plasma lipidome with mortality in the acute respiratory distress syndrome: a longitudinal cohort study

Abstract Background It is unknown if the plasma lipidome is a useful tool for improving our understanding of the acute respiratory distress syndrome (ARDS). Therefore, we measured the plasma lipidome of individuals with ARDS at two time-points to determine if changes in the plasma lipidome distinguished survivors from non-survivors. We hypothesized that both the absolute concentration and change in concentration over time of plasma lipids are associated with 28-day mortality in this population. Methods Samples for this longitudinal observational cohort study were collected at multiple tertiary-care academic medical centers as part of a previous multicenter clinical trial. A mass spectrometry shot-gun lipidomic assay was used to quantify the lipidome in plasma samples from 30 individuals. Samples from two different days were analyzed for each subject. After removing lipids with a coefficient of variation > 30%, differences between cohorts were identified using repeated measures analysis of variance. The false discovery rate was used to adjust for multiple comparisons. Relationships between significant compounds were explored using hierarchical clustering of the Pearson correlation coefficients and the magnitude of these relationships was described using receiver operating characteristic curves. Results The mass spectrometry assay reliably measured 359 lipids. After adjusting for multiple comparisons, 90 compounds differed between survivors and non-survivors. Survivors had higher levels for each of these lipids except for five membrane lipids. Glycerolipids, particularly those containing polyunsaturated fatty acid side-chains, represented many of the lipids with higher concentrations in survivors. The change in lipid concentration over time did not differ between survivors and non-survivors. Conclusions The concentration of multiple plasma lipids is associated with mortality in this group of critically ill patients with ARDS. Absolute lipid levels provided more information than the change in concentration over time. These findings support future research aimed at integrating lipidomics into critical care medicine.https://deepblue.lib.umich.edu/bitstream/2027.42/143134/1/12931_2018_Article_758.pd

Associations of the plasma lipidome with mortality in the acute respiratory distress syndrome: a longitudinal cohort study

Abstract Background It is unknown if the plasma lipidome is a useful tool for improving our understanding of the acute respiratory distress syndrome (ARDS). Therefore, we measured the plasma lipidome of individuals with ARDS at two time-points to determine if changes in the plasma lipidome distinguished survivors from non-survivors. We hypothesized that both the absolute concentration and change in concentration over time of plasma lipids are associated with 28-day mortality in this population. Methods Samples for this longitudinal observational cohort study were collected at multiple tertiary-care academic medical centers as part of a previous multicenter clinical trial. A mass spectrometry shot-gun lipidomic assay was used to quantify the lipidome in plasma samples from 30 individuals. Samples from two different days were analyzed for each subject. After removing lipids with a coefficient of variation > 30%, differences between cohorts were identified using repeated measures analysis of variance. The false discovery rate was used to adjust for multiple comparisons. Relationships between significant compounds were explored using hierarchical clustering of the Pearson correlation coefficients and the magnitude of these relationships was described using receiver operating characteristic curves. Results The mass spectrometry assay reliably measured 359 lipids. After adjusting for multiple comparisons, 90 compounds differed between survivors and non-survivors. Survivors had higher levels for each of these lipids except for five membrane lipids. Glycerolipids, particularly those containing polyunsaturated fatty acid side-chains, represented many of the lipids with higher concentrations in survivors. The change in lipid concentration over time did not differ between survivors and non-survivors. Conclusions The concentration of multiple plasma lipids is associated with mortality in this group of critically ill patients with ARDS. Absolute lipid levels provided more information than the change in concentration over time. These findings support future research aimed at integrating lipidomics into critical care medicine.https://deepblue.lib.umich.edu/bitstream/2027.42/143134/1/12931_2018_Article_758.pd

Maximal Oxidative Capacity during Exercise Is Associated with Skeletal Muscle Fuel Selection and Dynamic Changes in Mitochondrial Protein Acetylation

SummaryMaximal exercise-associated oxidative capacity is strongly correlated with health and longevity in humans. Rats selectively bred for high running capacity (HCR) have improved metabolic health and are longer-lived than their low-capacity counterparts (LCR). Using metabolomic and proteomic profiling, we show that HCR efficiently oxidize fatty acids (FAs) and branched-chain amino acids (BCAAs), sparing glycogen and reducing accumulation of short- and medium-chain acylcarnitines. HCR mitochondria have reduced acetylation of mitochondrial proteins within oxidative pathways at rest, and there is rapid protein deacetylation with exercise, which is greater in HCR than LCR. Fluxomic analysis of valine degradation with exercise demonstrates a functional role of differential protein acetylation in HCR and LCR. Our data suggest that efficient FA and BCAA utilization contribute to high intrinsic exercise capacity and the health and longevity benefits associated with enhanced fitness