Sample multiplexing-based targeted pathway proteomics with real-time analytics reveals the impact of genetic variation on protein expression.

Targeted proteomics enables hypothesis-driven research by measuring the cellular expression of protein cohorts related by function, disease, or class after perturbation. Here, we present a pathway-centric approach and an assay builder resource for targeting entire pathways of up to 200 proteins selected from \u3e10,000 expressed proteins to directly measure their abundances, exploiting sample multiplexing to increase throughput by 16-fold. The strategy, termed GoDig, requires only a single-shot LC-MS analysis, ~1 µg combined peptide material, a list of up to 200 proteins, and real-time analytics to trigger simultaneous quantification of up to 16 samples for hundreds of analytes. We apply GoDig to quantify the impact of genetic variation on protein expression in mice fed a high-fat diet. We create several GoDig assays to quantify the expression of multiple protein families (kinases, lipid metabolism- and lipid droplet-associated proteins) across 480 fully-genotyped Diversity Outbred mice, revealing protein quantitative trait loci and establishing potential linkages between specific proteins and lipid homeostasis

Lipid signatures of chronic pain in female adolescents with and without obesity

Background: Chronic pain in adolescence is associated with diminished outcomes, lower socioeconomic status in later life, and decreased family well-being. Approximately one third of adolescents with chronic pain have obesity compared to the general population. In obesity, lipid signals regulate insulin sensitivity, satiety, and pain sensation. We determined whether there is a distinct lipid signature associated with chronic pain and its co-occurrence with obesity in adolescents. Methods: We performed global lipidomics in serum samples from female adolescents (N = 67, 13-17 years old) with no pain/healthy weight (Controls), chronic pain/healthy weight (Pain Non-obese), no pain/obesity (Obese), or chronic pain/obesity (Pain Obese). Results: The Pain Non-obese group had lipid profiles similar to the Obese and Pain Obese groups. The major difference in these lipids included decreased lysophosphatidylinositol (LPI), lysophosphatidylcholine (LPC), and lysophosphatidylethanolamine (LPE) in the three clinical groups compared to the Control group. Furthermore, ceramides and sphingomyelin were higher in the groups with obesity when compared to the groups with healthy weight, while plasmalogens were elevated in the Pain Obese group only. Conclusions: Serum lipid markers are associated with chronic pain and suggest that specific lipid metabolites may be a signaling mechanism for inflammation associated with co-occurring chronic pain and obesity

Additional file 1 of Lipid signatures of chronic pain in female adolescents with and without obesity

Additional file 1: Supplemental Fig. 1. A) Analysis of variance (ANOVA) between plasma of control (n = 17), obese (n = 16), pain lean (n = 17), and pain obese (n = 17) individuals. Red dots indicate significant lipids (p < 0.05). B) Venn diagram showing overlap of lipid species in plasma between control, obese, pain non-obese, and pain obese groups. C) Lysophosphatidylethanolamine (LPE) species abundance in plasma between control, obese, pain non-obese, and pain obese groups. D) Triglyceride (TG) species abundance in plasma between control, obese, pain non-obese, and pain obese groups. n=16-17 per group, Data are presented as means ± SEM. *p < 0.05. Supplemental Fig. 2. A) Ceramide (Cer) species abundance in plasma significant between control and pain non-obese individuals. B) Lysophosphatidylinositol (LPI) species abundance in plasma significant between control and pain non-obese groups. n = 17 per group, Data are presented as means ± SEM. *p < 0.05. Supplemental Fig. 3. A) Lysophosphatidylethanolamine (LPE) species abundance in plasma between pain non-obese and pain obese groups. B) Lysophosphatidylinositol (LPI) species abundance in plasma significant between pain non-obese and pain obese groups. C) Triglyceride (TG) species abundance in plasma between pain non-obese and pain obese groups. n = 17 per group, Data are presented as means ± SEM. *p < 0.05

Hepatic Oleate Regulates Insulin-like Growth Factor-Binding Protein 1 Partially through the mTORC1-FGF21 Axis during High-Carbohydrate Feeding

Stearoyl-CoA desaturase-1 (SCD1) catalyzes the rate-liming step of monounsaturated fatty acid biosynthesis and is a key regulator of systemic glucose metabolism. Mice harboring either a global (GKO) or liver-specific deletion (LKO) of Scd1 display enhanced insulin signaling and whole-body glucose uptake. Additionally, GKO and LKO mice are protected from high-carbohydrate diet-induced obesity. Given that high-carbohydrate diets can lead to chronic metabolic diseases such as obesity, diabetes, and hepatic steatosis, it is critical to understand how Scd1 deficiency confers metabolically beneficial phenotypes. Here we show that insulin-like growth factor-binding protein 1 (IGFBP1), a hepatokine that has been reported to enhance insulin signaling, is significantly elevated in the liver and plasma of GKO and LKO mice fed a low-fat high-carbohydrate diet. We also observed that the expression of hepatic Igfbp1 is regulated by oleic acid (18:1n9), a product of SCD1, through the mTORC1-FGF21 axis both in vivo and in vitro

Iron regulates glucose homeostasis in liver and muscle via

Excess iron is associated with hepatic damage and diabetes in humans, although the detailed molecular mechanisms are not known. To investigate how iron regulates glucose homeostasis, we fed C57BL/6J male mice with high-iron (HI) diets (2 or 20 g Fe/kg chow). Mice fed an HI diet exhibited elevated AMP-activated protein kinase (AMPK) activity and impaired insulin signaling in skeletal muscle and liver. Consistent with the increased AMPK activity, glucose uptake was enhanced in mice fed an HI diet. The effects of improved glucose tolerance induced by HI feeding were abolished in transgenic mice with expression of muscle specific dominant-negative AMPK. Glucose output was suppressed in the liver of wild-type mice fed an HI diet, due to decreased expression of gluconeogenic genes and decreased substrate (lactate) from peripheral glycolysis. Iron activated AMPK by increasing deacetylase and decreasing LKB1 acetylation, in turn stimulating the phosphorylation of LKB1 and AMPK. The effects of HI diet were abrogated by treatment of the mice with N-acetyl cysteine, suggesting a redox-dependent mechanism for increasing deacetylase activity. In addition, tissue from iron-fed mice exhibited an elevated AMP/ATP ratio, further contributing to AMPK activation. In summary, a diet high in iron improves glucose tolerance by activating AMPK through mechanisms that include deacetylation.—Huang J., Simcox, J., Mitchell, T. C., Jones, D., Cox, J., Luo, B., Cooksey, R. C., Boros, L. G., McClain, D. A. Iron regulates glucose homeostasis in liver and muscle via AMP-activated protein kinase in mice

Dietary Iron Controls Circadian Hepatic Glucose Metabolism Through Heme Synthesis

The circadian rhythm of the liver maintains glucose homeostasis, and disruption of this rhythm is associated with type 2 diabetes. Feeding is one factor that sets the circadian clock in peripheral tissues, but relatively little is known about the role of specific dietary components in that regard. We assessed the effects of dietary iron on circadian gluconeogenesis. Dietary iron affects circadian glucose metabolism through heme-mediated regulation of the interaction of nuclear receptor subfamily 1 group d member 1 (Rev-Erbα) with its cosuppressor nuclear receptor corepressor 1 (NCOR). Loss of regulated heme synthesis was achieved by aminolevulinic acid (ALA) treatment of mice or cultured cells to bypass the rate-limiting enzyme in hepatic heme synthesis, ALA synthase 1 (ALAS1). ALA treatment abolishes differences in hepatic glucose production and in the expression of gluconeogenic enzymes seen with variation of dietary iron. The differences among diets are also lost with inhibition of heme synthesis with isonicotinylhydrazine. Dietary iron modulates levels of peroxisome proliferator–activated receptor γ coactivator 1α (PGC-1α), a transcriptional activator of ALAS1, to affect hepatic heme. Treatment of mice with the antioxidant N-acetylcysteine diminishes PGC-1α variation observed among the iron diets, suggesting that iron is acting through reactive oxygen species signaling

Adipocyte iron regulates adiponectin and insulin sensitivity

Iron overload is associated with increased diabetes risk. We therefore investigated the effect of iron on adiponectin, an insulin-sensitizing adipokine that is decreased in diabetic patients. In humans, normal-range serum ferritin levels were inversely associated with adiponectin, independent of inflammation. Ferritin was increased and adiponectin was decreased in type 2 diabetic and in obese diabetic subjects compared with those in equally obese individuals without metabolic syndrome. Mice fed a high-iron diet and cultured adipocytes treated with iron exhibited decreased adiponectin mRNA and protein. We found that iron negatively regulated adiponectin transcription via FOXO1-mediated repression. Further, loss of the adipocyte iron export channel, ferroportin, in mice resulted in adipocyte iron loading, decreased adiponectin, and insulin resistance. Conversely, organismal iron overload and increased adipocyte ferroportin expression because of hemochromatosis are associated with decreased adipocyte iron, increased adiponectin, improved glucose tolerance, and increased insulin sensitivity. Phlebotomy of humans with impaired glucose tolerance and ferritin values in the highest quartile of normal increased adiponectin and improved glucose tolerance. These findings demonstrate a causal role for iron as a risk factor for metabolic syndrome and a role for adipocytes in modulating metabolism through adiponectin in response to iron stores