Am J Physiol Endocrinol Metab 310: E1003–E1015, 2016. First published April 26, 2016; doi:10.1152/ajpendo.00521.2015. CALL FOR PAPERS Mitochondrial Dynamics and Oxidative Stress Exposure to environmentally persistent free radicals during gestation lowers energy expenditure and impairs skeletal muscle mitochondrial function in adult mice Erin J. Stephenson,1,2,3 Alyse Ragauskas,1,2,3 Sridhar Jaligama,2,3 JeAnna R. Redd,1,2,3 Jyothi Parvathareddy,2,3 Matthew J. Peloquin,1,2,3 Jordy Saravia,2,3 Joan C. Han,1,2,3 Stephania A. Cormier,1,2,3 and X Dave Bridges1,2,3 1 Submitted 18 December 2015; accepted in final form 19 April 2016 Stephenson EJ, Ragauskas A, Jaligama S, Redd JR, Parvathareddy J, Peloquin MJ, Saravia J, Han JC, Cormier SA, Bridges D. Exposure to environmentally persistent free radicals during gestation lowers energy expenditure and impairs skeletal muscle mitochondrial function in adult mice. Am J Physiol Endocrinol Metab 310: E1003–E1015, 2016. First published April 26, 2016; doi:10.1152/ajpendo.00521.2015.—We have investigated the effects of in utero exposure to environmentally persistent free radicals (EPFRs) on growth, metabolism, energy utilization, and skeletal muscle mitochondria in a mouse model of diet-induced obesity. Pregnant mice were treated with laboratory-generated, combustionderived particular matter (MCP230). The adult offspring were placed on a high-fat diet for 12 wk, after which we observed a 9.8% increase in their body weight. The increase in body size observed in the MCP230-exposed mice was not associated with increases in food intake but was associated with a reduction in physical activity and lower energy expenditure. The reduced energy expenditure in mice indirectly exposed to MCP230 was associated with reductions in skeletal muscle mitochondrial DNA copy number, lower mRNA levels of electron transport genes, and reduced citrate synthase activity. Upregulation of key genes involved in ameliorating oxidative stress was also observed in the muscle of MCP230-exposed mice. These findings suggest that gestational exposure to MCP230 leads to a reduction in energy expenditure at least in part through alterations to mitochondrial metabolism in the skeletal muscle. in utero exposure; environmentally persistent free radicals; oxidative stress; skeletal muscle; mitochondria OBESITY IS A MAJOR GLOBAL HEALTH CONCERN, and emerging data support a role for environmental pollutants in the pathogenesis of obesity and its comorbidities (2, 7, 9, 10, 12, 22, 24, 45). Gestational and early-life exposure to combustion-derived particulate matter (PM) has been associated with an increased risk of obesity in humans (9, 12, 18, 22, 24). This association is supported by data obtained from animal studies, where the offspring of pregnant mice, which have been exposed to diesel exhaust in utero, are predisposed to weight gain as adults (6). Furthermore, several studies have linked the exposure to combustion-derived PM to impaired metabolic health in humans (2, Address for reprint requests and other correspondence: D. Bridges, Dept. of Nutritional Sciences, Univ. of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109 (e-mail: davebrid@umich.edu). http://www.ajpendo.org 7, 10, 45) and animals (29, 30, 43, 55, 56). Specifically, cross-sectional studies of human subjects that are chronically exposed to combustion-derived PM have shown associations with type 2 diabetes and cardiovascular disease (2, 7, 45), whereas murine models of chronic PM exposure indicate that pollutants lead to elevated adipose tissue inflammation and insulin resistance (30, 43, 55). Relatively stable radicals with half-lives of ⬃21 days exist on the surface of airborne PM (13, 15, 31), and these are referred to as environmentally persistent free radicals (EPFRs). From a mechanistic stand point, exactly how environmental pollutants result in obesity and other metabolic abnormalities is currently unknown. However, mitochondrial deficiencies and structural abnormalities have been observed in adipose tissue (55, 56), vascular tissue (53), and cardiac muscle (28) following exposure to combustion-derived pollutants that should contain EPFRs. Mitochondria are responsible for oxidative cellular energy production and endogenous reactive oxygen species production and are an essential component of the antioxidant defense system (23). Thus, defects in mitochondrial metabolism, particularly in the context of obesity, are likely to have profound effects on energy homeostasis and other metabolic pathways. The importance of skeletal muscle mitochondrial metabolism for maintaining metabolic health is becoming well recognized (21, 37, 41) with deficits in muscle quality and function, particularly during early development (8), being closely linked to later life metabolic disturbances such as impaired growth or insulin resistance (16, 37). However, the effects of in utero exposure to EPFRs on skeletal muscle mitochondrial quality remain to be determined. In this study, we investigated the effects of in utero exposure to EPFRs on growth, metabolism, energy utilization, and skeletal muscle mitochondria in a mouse model of diet-induced obesity. We hypothesized that gestational exposure to EPFRs reduces energy expenditure and results in mitochondrial impairments in the skeletal muscle. MATERIALS AND METHODS MCP230 preparation. EPFR-containing particles [i.e., laboratorygenerated, combustion-derived particular matter (MCP230)] were generated and characterized by our colleagues, as described previously (31). Suspensions of MCP230 and cabosil, a non EPFR- Licensed under Creative Commons Attribution CC-BY 3.0: © the American Physiological Society. ISSN 0193-1849. E1003 Downloaded from http://ajpendo.physiology.org/ by 10.220.33.6 on October 2, 2016 Department of Physiology, University of Tennessee Health Science Center, Memphis, Tennessee; 2Department of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee; and 3Children’s Foundation Research Institute, Le Bonheur Children’s Hospital, Memphis, Tennessee E1004 GESTATIONAL EPFR EXPOSURE AND ENERGY EXPENDITURE CLAMS (Columbus Instruments). Mice were placed in the cages at approximately ZT10 and monitored for 3– 4 days. Data from the first 6 h were discarded, as this was the amount of time determined to be necessary for the mice to acclimate to their new environment. Oxymax software (Columbus Instruments) calculated the volumes of O2, CO2, the respiratory exchange ratio, the ambulatory x- and y-phase physical activity, and the food consumption. Heat production was calculated using the Lusk equation (32) via the Oxymax software: heat ⫽ (3.815 ⫹ 1.232 ⫻ RER) ⫻ V̇O2. Tissue collection and nucleic acid preparation. After the 12-wk HFD phase, mice were fasted overnight and anesthetized with ketamine-xylazine (180:10 mg/kg, respectively), which was delivered intraperitoneally. Quadriceps muscles were carefully dissected out, cleared of any visible adipose and connective tissue, and snap-frozen in liquid N2. Nucleic acids were isolated from frozen quadriceps samples via Trizol extraction using a Qiagen Tissue Lyser (30 Hz for 5 min). Following careful and complete removal of the RNA-containing aqueous phase and its subsequent column purification (PureLink mRNA kit from Life Technologies), DNA extraction buffer [Tris base (1 M), sodium citrate dibasic trihydrate (50 mM), and guanidine thiocyanate (4 M)] was added to the tubes containing the remaining Trizol-separated interphase and infranatant. Tubes were shaken vigorously and centrifuged at 12,000 g at room temperature for 30 min. The aqueous phase was collected, and the genomic and mitochondrial DNA were precipitated in isopropanol. Samples were respun at 12,000 g at 4°C to pellet the DNA. The DNA pellet was then washed in 70% ethanol, respun, and, after careful ethanol removal, resuspended in TE buffer. cDNA was generated from purified RNA using the Applied Biosystems cDNA Synthesis Kit. Quantitative PCR analysis of mitochondrial DNA copy number and mRNA transcripts. Primers designed for three mitochondrial-encoded gene regions were used to assess mitochondrial DNA (mtDNA) copy number in DNA, and primers designed for quantitative RT-PCR were used to assess mRNA transcript levels (Table 1). Briefly, DNA or cDNA from each sample extraction was added to the appropriate working quantitative PCR master mix (containing SYBR Green and the relevant primers at a final concentration of 100 nM each). PCR conditions included an activation cycle of 95°C for 10 min followed by 45 amplification cycles of 15 s at 95°C, 15 s at 60°C, and 10 s at 73°C. Cp values were quantified on a Light Cycler 480. Nucleic acid Table 1. Mitochondrial DNA copy number and relative gene expression were determined using the following primer sequences Region/gene d-Loop mt-Nd1 mt-Cytb mt-Nd4 Sdha mt-Co2 Ppard Ppargc1a Ppargc1b Nrf1 Nfe2l2 Tfam Ucp2 Ucp3 Sod1 Sod2 Cat Gpx1 Gclm Tsc2 Rpl13a Forward Primer GGC CGT CTT TAA TCT AAC ACA TGA TTG AGA TGG TCG TGC ACA GGA TTC CAC TTC TGG AAG GGA CCA CCC CAT TCG TCG CGA TGG TGT TAG AAC ACT CAT GGT AAG ACC TGG TGA GGA AGT AAG GTC TTA CAT GTC CAC CTG GTC AAT GAA AGT GGA TGG CCC CCG GAT ATC ACA CGA CAC TCC CCT CGT AAC TCT GGA ATG GTG GTT GTC TGA GCC AAC AGT CTC GAC TTG CAC AAC GAT CAG CAA CTT TGG TTG AAT CGA GCC TGG CTG GGG CTT AGG GGC TGC GTC ACA TGC TTC CTG GGC GAG ATC CTG TCT GGG CGC GGC TCA ATG CCA TGT GGA TGC CTC CAC TAT ATA CCT GAG AGC ACA AAT AGC CTA TGA Reverse Primer GT CA TT CA TC AT GC TAC AGA CA TG AT C CA G CC CA CC CT GG CC CC GG TTC ATG CCT GCT CTT CTA CGG GCT GTG GGC TCT AGT GCC TCA CCC GTC TGT TAA CAA CAG GGC TTC GCG CAT GTG CAG GGG AAG CAT TAT TCT TGC TTT TCC AAA ATG ACG GGA AGA CTC CTC CAA ACC TCT GGA GAT CAC AGG AAG TGT CTG GAG CTC GCA AAG CGG CTG CTT GAA GCG CAA CGA GAT Tsc2 and Rpl13a were used for normalization of genomic DNA and mRNA, respectively. AJP-Endocrinol Metab • doi:10.1152/ajpendo.00521.2015 • www.ajpendo.org GTA GCA AGG CCG CTG GGA CCC TGT GGC TTT CAA TCT GTC AGA GCC GAT TCG GGT GGA CCA GCA GGT AAT ACG TTC TCC CTG TTG ACT CAA CCG AGG GGG AAG TTC TTC AGC AAC GAG CGG TGA CTA GCG GGT TAG GTA CTT CTC CAC GGT CGG AAG ATG TGT CTT CCG AGT CTC GGC CCT AGC AGT TCG TC TG CC GT GT AT C TGG ATA TG AA CA TCA TTA GC CT CA TA CA AA TC AT G GA Downloaded from http://ajpendo.physiology.org/ by 10.220.33.6 on October 2, 2016 containing amorphous silica particle control (1 mg/ml), were prepared in irrigation saline containing 0.02% Tween 80, and the resulting particle suspension was monodispersed by probe sonication. Animals, particulate exposure, and high-fat diet. C57BL/6NHsd mice were purchased from Harlan (Indianapolis, IN). Mice were maintained in a 12-h light-dark cycle room at constant temperature and humidity and allowed unrestricted access to food and water. Breeder mice (6 wk of age) were mated and pregnant dams administered 50 l of MCP230 particle suspension via oropharyngeal aspiration on days 10 and 17 of gestation, as described earlier (51). Control mice received 50 l of saline or cabosil. Pregnant mice were anesthetized by inhalant anesthetic isoflurane (5%) and placed in a holder and physically supported in an upright position. The suspension was instilled just above the vocal cords while the tongue was held with forceps to prevent swallowing. Offspring were weaned at 4 wk of age. Male mice were selected for the study and were fed standard rodent chow until 10 wk of age. At 10 wk of age, mice were switched from chow to a high-fat diet (HFD) consisting of 45% of calories from fat (catalog D12451; Research Diets). Mice were maintained on HFD for 12 wk. One mouse, an MCP230-treated animal, had malocclusion and was removed from all data analyses. The University of Tennessee Health Science Center Institutional Animal Care and Use Committee approved all mouse procedures. Metabolite assays. Blood was collected in both the fed and 16-hfasted state. Blood glucose was determined using an AccuCheck glucometer. Serum hormone levels were determined using a Bio-Plex pro mouse diabetes multiplex immunoassay (no. 171-F7001M; BioRad), following the manufacturer’s instructions using a MAGPIX LMX200 system. Homeostatic model assessment of insulin resistance (HOMA-IR) was calculated from 16-h-fasting glucose and insulin values. Body composition and metabolic cages. Mice were weighed weekly from approximately Zeitgerber time (ZT)10. Body composition was determined noninvasively using an echo-MRI 100. Food intake during the HFD phase was determined on a per-cage level by weighing the food on a weekly basis. For food intake pre-HFD, this was determined by scaled feeders within the Comprehensive Laboratory Animal Monitoring System (CLAMS) system. V̇O2, energy expenditure, ambulatory locomotor activity, and respiratory exchange ratios were determined in a home cage style GESTATIONAL EPFR EXPOSURE AND ENERGY EXPENDITURE Citrate synthase activity. Muscle homogenates were prepared in KCl-EDTA buffer (pH 7.4) from ⬃10 to 40 mg of frozen quadriceps. Following three freeze-thaw cycles, samples were centrifuged at 4°C for 10 min at 1,000 g to settle cellular debris. Supernatants were analyzed for citrate synthase activity using a modified method (40). Briefly, aliquots of supernatant were added to the appropriate wells of a 96-well microplate containing an assay solution comprised of Tris (72.5 mM), acetyl-CoA (0.45 mM), and 5,5=-dithiobis-2-nitrobenzoate (DTNB; 0.1 mM) at a pH of 8.3. After the plate was monitored for possible background activity, activity reactions were initiated by the addition of oxaloacetic acid (0.5 mM) to each well. Changes in absorbance at 405 nm were recorded for each well every 9 –11 s over 3 min at room temperature. Citrate synthase activity was calculated using the extinction coefficient for DTNB (which is reduced by the CoA-SH released during the cleavage of acetyl-CoA by citrate synthase). Statistics. All raw data, and analysis scripts are available at http:// bridgeslab.github.io/ObesityParticulateTreatment (42). Statistics and calculations were performed using R version 3.1.1 (34). For longitudinal data, mixed linear models were used and 2 tests performed to determine the significance of the MCP230 treatment. Mixed linear models used the R package lme4 (version 1.1–7; Ref. 4). In all cases, normality of the data and models were determined via Shapiro-Wilk Test, and equal variance was tested using Levene’s test from the car package (version 2.0 –21; Ref. 19). Pairwise Student’s t-test, Welch’s t-test, or Wilcoxon rank sum tests were performed as indicated in RESULTS and the figure legends and were dependent on normality and homoscedasticity. In cases where cabosil and saline treatment were not significantly different, these data were combined and designated as a single control group. For energy expenditure calculations, we performed an ANCOVA analysis with lean body mass and the treatment group as noninteracting covariates and the averaged light or dark V̇O2 as the responding variable as described previously (48). Statistical significance was designated as P ⬍ 0.05. Fig. 1. In utero exposure to laboratory-generated, combustion-derived particular matter (MCP230) results in increased body size. A: schematic of the experimental design. B: body weight throughout the high-fat diet phase of the intervention. C–E: absolute body fat (C), fat-free mass (D), and %body fat (E) after 12 wk of high-fat diet Zeitgerber time (ZT)12. Data shown are group means ⫾ SE. §P ⬍ 0.05 via mixed linear model, compared by 2 test (B); *P ⬍ 0.05 via Student’s t-test (C and D). Black bars, saline-exposed mice; gray bars, MCP230-exposed mice. AJP-Endocrinol Metab • doi:10.1152/ajpendo.00521.2015 • www.ajpendo.org Downloaded from http://ajpendo.physiology.org/ by 10.220.33.6 on October 2, 2016 levels were calculated using the ⌬⌬CT method, with data for mtDNA copy number being normalized to values obtained for a nuclearencoded genomic locus (Tsc2) and mRNA levels being normalized to Rpl13a, which was determined to be unaffected by MCP230 treatment compared with other commonly used normalization controls, including Rplp0 and Gapdh. Preparation of protein lysates and Western blotting. Skeletal muscle homogenates were prepared from ⬃30 to 50 mg of frozen quadriceps in RIPA buffer [Tris basic (50 mM), sodium deoxycholate (0.25%), NP-40 (1%), NaCl (150 mM), EDTA (1 mM), Na3VO4 (100 M), NaF (5 mM), sodium pyrophosphate (10 mM), protease inhibitor cocktail] using stainless-steel beads and a Qiagen Tissue Lyser (30 Hz for 5 min). Homogenates were centrifuged at 4°C for 10 min at 14,000 g, after which the protein concentration of supernatants was determined by Bradford assay. Lysates of equal protein concentration were prepared in 2⫻ Laemmli buffer containing 2-mercaptoethanol and heated at 37°C (for mitochondrial proteins) or 95°C (for all nonmitochondrial proteins) for 5 min. Proteins were separated by SDS-PAGE and transferred to nitrocellulose membranes for Western blotting. After ponceau staining to ensure equal protein loading, membranes were blocked in BSA for 1 h and incubated overnight in total OXPHOS rodent WB antibody cocktail (no. ab110413; Abcam), anti-PGC-1␣ (no. SAB4200209; Sigma), anti-phospho AMPK Thr172 (Cell Signaling Technology no. 2535S), anti-AMPK (no. 2793S; Cell Signaling Technology), anti-phospho S6K Thr389 (no. 9206; Cell Signaling Technology), anti-S6K (no. 2708; Cell Signaling Technology), anti-phospho Akt Ser473 (no. 4060; Cell Signaling Technology), anti-Akt (no. 9272; Cell Signaling Technology), anti-LC3 (no. 12741; Cell Signaling Technology), or anti--actin (no. 60008-1-Ig; Proteintech) at 4°C. Blots were visualized after a 1-h incubation with infrared anti-mouse or anti-rabbit secondary antibody, using a LI-COR Odyssey fluorescent Western blotting system. Protein expression was quantified using densitometry (Image Studio Lite; LI-COR) and normalized to Akt, which was unchanged by the treatments. LC3 was presented as the ratio of light chain 3 (LC3)II/LC3I as prescribed (25). E1005 E1006 GESTATIONAL EPFR EXPOSURE AND ENERGY EXPENDITURE RESULTS Fig. 2. Gestational exposure to MCP230 causes a reduction in food intake and alters “hunger hormone” concentrations on a high-fat diet. A and B: food intake per mouse was calculated on a weekly (A) and cumulative (B) basis throughout the high-fat diet phase of the intervention. C–E: MCP230-exposed mice had elevated serum concentrations of leptin (C), ghrelin (D), and glucagon-like peptide-1 (GLP-1; E) after access to the high-fat diet. F: serum glucose-dependent insulinotropic polypeptide (GIP) tended to be elevated during the fasted state, although this did not attain statistical significance. Fed serum was collected at ZT12. Fasting serum was collected following an overnight fast (⬃16 h) at ZT4. Data shown are group means ⫾ SE; n ⫽ 8 –14/group. §P ⬍ 0.05 by mixed linear model, compared by 2 test (B); †main effect for feeding state (C–F); ‡main effect for MCP230 exposure by 2-way ANOVA (C–E); *P ⬍ 0.05 via a Wilcoxon rank sum test (D and E). Black bars, saline-exposed mice; gray bars, MCP230-exposed mice. AJP-Endocrinol Metab • doi:10.1152/ajpendo.00521.2015 • www.ajpendo.org Downloaded from http://ajpendo.physiology.org/ by 10.220.33.6 on October 2, 2016 Gestational exposure to MCP230 leads to increased body size on a high-fat diet. To test the metabolic effects of gestational exposure to EPFRs, pregnant females were exposed to MCP230 on days 10 and 17 of gestation. As controls, mice were exposed to either cabosil (the nonconjugated particulate without the EPFR group) or saline. After birth, these mice were left with their dams until weaning onto standard rodent chow at 28 days of age. At 10 wk of age, male mice were placed on a high-fat diet (HFD) consisting of 45% of calories from lard to induce obesity (Fig. 1A). As shown in Fig. 1B, at 10 wk of age, mice that were exposed to MCP230 had a 7.6% higher body weight than the saline-exposed mice and remained heavier, gaining more weight throughout the HFD phase (P ⫽ 3.5 ⫻ 10⫺5). After 12 wk of HFD, the MCP230-exposed mice were 4.5 g heavier than saline-exposed mice (9.8%, P ⬍ 0.001; Fig. 1B). We assessed body composition after 12 wk of HFD and observed significant elevations in both fat mass (10.1% increase, P ⫽ 0.011) and fat-free mass (10.2% increase, P ⫽ 2.2 ⫻ 10⫺4) in the MCP230-exposed mice (Fig. 1, C and D). The relative adiposity of these mice, as determined by the percent fat mass, was not different between groups (Fig. 1E). MCP230-exposed mice have reduced caloric intake and increased serum concentrations of leptin, ghrelin, and GLP-1. To determine how energy balance was affected in MCP230exposed mice, we examined their food intake throughout the HFD feeding period. As shown in Fig. 2A, all mice tended to eat less food each week, although this did not reach statistical significance. Cumulatively, the MCP230-exposed mice ate less food throughout the diet (⫺6.3 ⫾ 1.8 kcal·wk⫺1·mouse⫺1, P ⫽ 8.0 ⫻ 10⫺4; Fig. 2B). Throughout the 12-wk HFD treatment, this corresponds to a 19.2% reduction in total caloric intake. During the metabolic cage experiments, which occurred prior to HFD feeding, the MCP230-exposed mice tended to eat less food per feeding bout, whereas each feeding bout also tended to be shorter in duration; however, neither of these parameters were significantly different (data not shown). There were no differences between groups for the frequency of feeding bouts. Leptin concentrations were modestly elevated in serum from MCP230-exposed mice (main effects feeding state, P ⫽ 0.002, and treatment, P ⫽ 0.011, by 2-way ANOVA, with post hoc t-test P values of 0.058 under fasting and P ⫽ 0.097 under fed conditions; Fig. 2C). Elevations in circulating leptin levels are consistent with the increase in fat mass observed in MCP230exposed mice (Fig. 1C). We observed significant serum elevations in both the fasting and fed states for ghrelin (for main effects of feeding state P ⫽ 0.001, and MCP230 treatment P ⫽ 6.5 ⫻ 10⫺6, with post hoc t-test P values of 0.024 in the fasting and P ⫽ 0.0002 in the fed state; Fig. 2D), which is consistent with a reduction in food intake (Fig. 2, A and B) and reduced energy expenditure (Fig. 4, A–E) observed in the MCP230exposed mice (11, 46, 47, 54). Similarly, GLP-1 was elevated in serum from MCP230-exposed mice in both the fasted and GESTATIONAL EPFR EXPOSURE AND ENERGY EXPENDITURE Downloaded from http://ajpendo.physiology.org/ by 10.220.33.6 on October 2, 2016 fed states (main effects for feeding state P ⫽ 0.002, and treatment P ⫽ 3.6 ⫻ 10⫺5, with post hoc t-test P values of 0.024 in the fasted and P ⫽ 0.001 in the fed state; Fig. 2D), which is also consistent with the MCP230-exposed mice eating less (Fig. 2, A and B) (3, 49). There was an effect of the feeding state with respect to glucose-dependent insulinotropic polypeptide (GIP) concentrations (P ⫽ 6.0 ⫻ 10⫺9 by 2-way ANOVA; Fig. 2F), and GIP was elevated in serum from MCP230exposed mice in the fasted state, although these values did not quite attain statistical significance (P ⫽ 0.069 by Wilcoxon rank sum test). Although there were main effects of the feeding state for PAI-1 and resistin levels, these were not different between the two treatment groups (data not shown). We next evaluated the extent of obesity-related comorbidities in these mice after 12 wk of high-fat feeding. We observed no differences in fasting blood glucose as a result of MCP230 exposure (Fig. 3A). As shown in Fig. 3B, there was a main effect of feeding state on serum insulin concentrations (P ⫽ 3.3 ⫻ 10⫺6); however, MCP230 exposure had no effect. Calculation of the HOMA-IR revealed that both the saline and MCP230-exposed groups had similar HOMA-IR scores (12.77 ⫾ 1.29 vs. 12.14 ⫾ 0.96 for saline and MCP230, respectively, P ⫽ 0.74; Fig. 3C). Taken together, these data indicate that although HFD did impair insulin sensitivity, there was no difference between these two groups. Consistent with this, we observed no changes in the levels of fasted Akt phosphorylation in muscle tissue (data not shown). With respect to glucagon levels, both feeding state (P ⫽ 7.3 ⫻ 10⫺5) and MCP230 treatment (P ⫽ 4.0 ⫻ 10⫺3) increased serum glucagon concentrations. MCP230-exposed mice had elevated glucagon concentrations in the fasted and fed state, although fed state levels did not quite attain statistical significance (32.65%, P ⫽ 0.009 for fasting and 28.46%, P ⫽ 0.059 for fed by post hoc Wilcoxon rank sum tests; Fig. 3D). MCP230 mice have reduced energy expenditure. Since the MCP230 mice did not appear to be larger due to excessive caloric intake, we next examined their energy utilization. To evaluate energy expenditure, we individually housed 9-wk-old mice (prior to HFD) in metabolic cages for indirect calorimetry, physical activity monitoring, and evaluation of gas exchange rates. As shown in Fig. 4, A and B, the MCP230exposed mice had lower oxygen consumption (V̇O2) in both the light and dark phases (⫺19.1%, P ⫽ 0.031, and ⫺16.8%, P ⫽ 0.019, respectively). This reduction in V̇O2 translated to a similar reduction in energy expenditure in both the light and dark phases (⫺18.4%, P ⫽ 0.032, and ⫺16.4%, P ⫽ 0.021, respectively; Fig. 4, C and D). In Fig. 4, B and D, each circle represents the average value for each individual mouse plotted against fat-free mass. Accounting for change in lean mass is necessary due to known associations between this covariate and rates of oxygen consumption (48). To determine whether these decreases in energy expenditure were associated with changes in physical activity, we monitored the ambulatory movements of these mice while they were housed in the metabolic cages. As shown in Fig. 4E, compared with the control group, we observed 21.4 (P ⫽ 0.040) and 26.2% (P ⫽ 0.0099) reductions in physical activity for the MCP230-exposed mice in the dark and light phases, respectively. Next, we evaluated energy substrate preference by analyzing the respiratory exchange ratio of the three groups. When this ratio nears 1, that indicates preference for predominately car- E1007 Fig. 3. Gestational exposure to MCP230 causes an increase in serum glucagon but does not differentially alter glucose or insulin concentrations following exposure to a high-fat diet. Fasting blood glucose (A), serum insulin (B), homeostatic model assessment of insulin resistnace (HOMA-IR; C), and serum glucagon (D) concentrations were determined after a 16-h fast at ⬃ZT4. Fed serum was collected at ZT12 and analyzed for insulin (B) and glucagon (D). Data shown are group means ⫾ SE; n ⫽ 8 –14/group. †Main effect for feeding state (B and D); ‡main effect for MCP230 exposure by 2-way ANOVA (D); *P ⬍ 0.05 via a Wilcoxon rank sum test (D). Black bars, saline-exposed mice; gray bars, MCP230-exposed mice. bohydrate as fuel, and as it nears 0.7 it indicates utilization of mainly lipids (5). Although there was no difference in the respiratory exchange ratio between MCP230- and cabosilexposed mice, we did observe a significant elevation (carbohydrate preference) in the saline-exposed mice during both the light and dark phases relative to mice exposed to either the AJP-Endocrinol Metab • doi:10.1152/ajpendo.00521.2015 • www.ajpendo.org E1008 GESTATIONAL EPFR EXPOSURE AND ENERGY EXPENDITURE vehicle control (cabosil) or MCP230 (the EPFR) (Fig. 4F). These data indicate that particle exposure alone (cabosil) altered substrate preference but that exposure to the EPFR did not alter substrate preference. Skeletal muscle from MCP230-treated mice have reduced mtDNA copy number and a lower citrate synthase activity. Because of the observed reductions in whole body oxygen consumption and total energy expenditure, we next explored the hypothesis that MCP230-exposed mice have skeletal muscle mitochondrial deficits, as muscle is the major organ responsible for variations in resting energy expenditure (57). To test this, we first determined mitochondrial DNA (mtDNA) copy number in quadriceps muscle after the 12-wk HFD phase. Figure 5A demonstrates that MCP230-exposed mice have a marked reduction in mtDNA copy number relative to the saline-exposed mice, as determined using primers designed for three distinct mtDNA-encoded gene regions. Decreases of 61.2, 68.0, and 51.9% were observed for the mitochondrial D-loop, mt-Cytb, and mt-Nd1, respectively (P ⫽ 0.039, P ⫽ 0.031, and P ⫽ 0.032, respectively), suggesting that MCP230exposed mice may have reduced skeletal muscle mitochondrial content. Since citrate synthase activity is better associated with skeletal muscle mitochondrial content than mtDNA copy number (and is also a good indicator of tricarboxylic acid cycle activity; see Ref. 27), we measured citrate synthase activity to further evaluate mitochondrial content and function in the skeletal muscle from MCP230-exposed mice. As shown in Fig. 5B, maximal citrate synthase activity was reduced 24.1% in the quadriceps from MCP230-exposed mice (P ⫽ 0.03). Together, reduced mtDNA copy number and lower citrate synthase activity suggest that mice exposed to MCP230 may have reduced mitochondrial oxidative enzyme content and, as a result, reduced skeletal muscle oxidative capacity, which, along with the reduction in physical activity, would likely contribute to the reduced V̇O2 seen in these mice. Consistent with this hypothesis, mRNA transcript levels for the mitochondrial- and nuclear-encoded electron transport genes mt-Nd4 (25.2%), Sdha (35.9%), mt-Cytb (35.4%), and mt-Co2 (35.1%) were reduced in the quadriceps from MCP230-exposed mice, although not all of these reductions attained statistical significance (P ⫽ 0.12, P ⫽ 0.08, P ⫽ 0.04, and P ⫽ 0.10, respectively; see Fig. 5C). To determine whether differences in skeletal muscle mitochondrial electron transport enzymes were present at the protein level, we measured the relative expression of several electron transport chain proteins via Western blotting (Fig. 5D). We did not observe differences in levels of any of the five oxidative phosphorylation proteins measured in skeletal muscle, nor did we see changes in PGC-1␣ protein expression (Fig. 5, D and E) with MCP230 exposure. To test whether the lack of change in mitochondrial protein expression was due to suppression of autophagy, we blotted for processing of LC3 and observed no evidence of decreased autophagy (Fig. AJP-Endocrinol Metab • doi:10.1152/ajpendo.00521.2015 • www.ajpendo.org Downloaded from http://ajpendo.physiology.org/ by 10.220.33.6 on October 2, 2016 Fig. 4. In utero exposure to MCP230 reduces energy expenditure and lowers physical activity. A and B: O2 consumption rates (V̇O2; A) and V̇O2 analysis (B) normalized to fatfree mass during both the light and dark phases. Each circle represents the average O2 consumption of each mouse. C and D: time course of energy expenditure (C) and energy expenditure normalized to fat-free mass (D) during both the light and dark phases. Each circle represents the average energy expenditure of each mouse. E: quantification of ambulatory movement during the light and dark phases. F: respiratory exchange ratio of each group. Saline and cabosil groups were not combined for this analysis because there was a significant reduction in the respiratory exchange ratio for both the cabosil- and MCP230-exposed groups. Data shown are either individual (B and D) or group means (A, C, E, and F) ⫾ SE (E and F); n ⫽ 18, 6, or 14 for MCP230, saline, and cabosil groups, respectively. §P ⬍ 0.05 by ANCOVA (B); *P ⬍ 0.05 by Student’s t-test (E) or Wilcoxon rank sum test (F). Black bars, saline-exposed mice; open bars, cabosil-exposed mice; gray bars, MCP230-exposed mice; black and white striped bars, combined saline- and cabosilexposed groups. GESTATIONAL EPFR EXPOSURE AND ENERGY EXPENDITURE E1009 5, D and F). We did not see alterations in any of the other measured markers of skeletal muscle metabolism and growth (phospho-Akt Ser473, phospho-AMPK Thr172, or phospho-S6K Thr389; data not shown). To test whether reductions in mtDNA copy number and citrate synthase activity were due to lowered mitochondrial biogenesis, we evaluated the expression level of several known mitochondrial biogenesis genes. Although we observed increases in the mRNA of Ppard and Ppargc1b (Fig. 6, A and C), there were no differences in the expression levels of Ppargc1a, Nrf1, Nfe2l2, or Tfam (Fig. 6, B and D–F). In the absence of reduced mitochondrial biogenesis markers or changes in the levels of oxidative phosoporylation enzymes, the mitochondrial deficits we observe in the skeletal muscle of mice exposed to MCP230 may be a response to oxidative stress rather than transcriptional downregulation of mitochondrial biogenesis per se. In support of this notion, we found robust increases in the mRNA for Ucp2, Sod1, Sod2, Cat, Gpx1, and Gclm, enzymes activated in response to oxidative stress (Fig. 7). DISCUSSION Although epidemiological studies have linked exposure to particulate matter (PM) with obesity and its comorbidities, few have evaluated energy expenditure changes in response to acute gestational exposure. In this study, we tested some of the metabolic effects of a limited gestational exposure to a recently realized environmental pollutant that is present in most combustion-derived PM: EPFRs. Each exposure of MCP230 that the mothers received was the equivalent to a human breathing 200 g/m3 of EPFR, which is similar to what would be inhaled on a typical day in one of the major US cities (38). We noted that pups born from mothers that were acutely exposed to PM grew larger, despite reductions in food intake, and that this was associated with reduced energy expenditure and mitochondrial impairments in skeletal muscle. One potential explanation for reductions in energy expenditure and skeletal muscle mitochondrial function is the observed reduction in physical activity for MCP230-exposed mice. It is AJP-Endocrinol Metab • doi:10.1152/ajpendo.00521.2015 • www.ajpendo.org Downloaded from http://ajpendo.physiology.org/ by 10.220.33.6 on October 2, 2016 Fig. 5. Exposure to MCP230 in utero results in skeletal muscle mitochondrial abnormalities following high-fat diet consumption as adults. mtDNA copy number (A), citrate synthase activity (B), and mRNA levels of oxidative phosphorylation genes (C) were reduced in the quadriceps muscles of mice that were indirectly exposed to MCP230 in utero and subjected to 12 wk of high-fat diet as adults. Quadriceps PPAR␥ coactivator-1 ␣ (PGC-1␣), light chain 3 (LC3), and select electron transport chain protein expression was unchanged in the MCP230-exposed mice (D, representative blots, and E and F, relative quantification). Data shown are group means ⫾ SE. *P ⬍ 0.05 via Student’s t-test; n ⫽ 7–12/group. Black bars, salineexposed mice; gray bars, MCP230-exposed mice. ATP5A, ATP synthase H⫹ transporting ␣-subunit; UQCRC2, ubiquinol-cytochrome c reductase core protein II; MtCO1, mitochondrially encoded cytochrome c oxidase I; SDHB, succinate dehydrogenase complex, subunit B; NDUFB8, NADH, ubiquinone oxidoreductase subunit B8. E1010 GESTATIONAL EPFR EXPOSURE AND ENERGY EXPENDITURE also possible that muscle weakness (due to reduced skeletal muscle oxidative capacity; see Refs. 44 and 57) could contribute to the reduced physical activity of MCP230-exposed animals. Both of these hypotheses are consistent with crosssectional studies showing negative associations between ambient air pollutant exposure and leisure time physical activity (35) and exercise performance (14, 33, 36). Our current data are unable to distinguish whether reduced mitochondrial function is the primary cause of these reductions in energy expenditure or whether this observation is secondary to a reduced propensity for physical activity or some other mechanism. However, our observations of reductions in mtDNA, citrate synthase activity, and mRNA transcripts support the hypothesis that gestational exposure to EPFRs can affect skeletal muscle mitochondrial oxidative function, which would contribute to the overall changes we observe in energy expenditure. The mechanisms by which gestational exposure to EPFRs result in reduced mitochondrial function are not yet clear. Our data are consistent with chronic models of PM2.5 exposure, which show reduced mitochondrial numbers in white adipose tissue (55, 56). Analyses of placental tissues from mothers showed a strong correlation between late-gestational PM10 exposure and placental mtDNA content (22). Given the elevated sensitivity of mitochondria to free radicals and oxidative stress, it is reasonable to hypothesize that, during development, EPFR-mediated mitochondrial damage may result in chronic decreases in mitochondrial oxidative function either directly via reactive oxygen species (ROS) or indirectly via inflammatory processes. Indeed, the bioenergetics proteins in skeletal muscle are highly susceptible to ROS-induced posttranslational modifications, changes thought to be important for reducing endogenous ROS production and protect against irreversible oxidative damage during periods of cellular stress (26). In line with this concept, Siegel et al. (39) have shown that mild oxidative stress in vivo impairs skeletal muscle oxidative efficiency and reduces oxidative phosphorylation coupling without altering the expression of key electron transport chain proteins or their respiratory activities ex vivo. This suggests that reduced skeletal muscle oxidative capacity in response to oxidative stress is probably not due to downregulation of the Fig. 7. The antioxidant defense system is upregulated in the quadriceps of MCP230-exposed mice. Data shown are group means ⫾ SE. *P ⬍ 0.05 via Student’s t-test (Cat), Welch’s t-test (Sod1, Sod2, Gpx1), or Wilcoxon rank sum test (Ucp2, Gclm); n ⫽ 7–12/group. Black bars, salineexposed mice; gray bars, MCP230-exposed mice. AJP-Endocrinol Metab • doi:10.1152/ajpendo.00521.2015 • www.ajpendo.org Downloaded from http://ajpendo.physiology.org/ by 10.220.33.6 on October 2, 2016 Fig. 6. Indirect exposure to MCP230 in utero is not associated with reductions in the mRNA of upstream regulators of mitochondrial biogenesis Ppard (A) and Ppargc1b (C). mRNA was elevated in the MCP230exposed mice, whereas Ppargc1a (B), Nrf1 (D), Nfe2l2 (E), and Tfam mRNA (F) were not different. Data shown are group means ⫾ SE. *P ⬍ 0.05 via Student’s t-test (A) or Wilcoxon rank sum test (C); n ⫽ 7–12/ group. Black bars, saline-exposed mice; gray bars, MCP230-exposed mice. GESTATIONAL EPFR EXPOSURE AND ENERGY EXPENDITURE utero exposure to EPFRs can affect energy metabolism later in life highlights a need for further research in this area. ACKNOWLEDGMENTS We thank the other members of the Bridges, Cormier, O’Connell, and Han laboratories for helpful discussions and insights. We also thank the University of Tennessee Health Science Center Molecular Resource Center, including William Taylor and Felicia Waller, for assistance with quantitative RT-PCR. GRANTS We acknowledge funding from the Memphis Research Consortium (to J. C. Han and D. Bridges), National Institute of Diabetes and Digestive and Kidney Diseases Grant R01-DK-107535, Le Bonheur Grant no. 650700 (to D. Bridges), and National Institutes of Health Grants (R01-AI-090059, R01-ES015050, and P42ES013648) to S. A. Cormier. DISCLOSURES The authors have no conflicts of interest, financial or otherwise, to disclose. AUTHOR CONTRIBUTIONS E.J.S., A.R., S.J., J.P., M.J.P., and D.B. performed experiments; E.J.S., A.R., S.J., J.S., S.A.C., and D.B. analyzed data; E.J.S., A.R., J.C.H., S.A.C., and D.B. interpreted results of experiments; E.J.S. prepared figures; E.J.S. and S.A.C. drafted manuscript; E.J.S., A.R., S.J., J.C.H., S.A.C., and D.B. edited and revised manuscript; E.J.S., A.R., S.J., J.R.R., J.P., M.J.P., J.S., J.C.H., S.A.C., and D.B. approved final version of manuscript; S.A.C. and D.B. conception and design of research. REFERENCES 1. Allister EM, Robson-Doucette CA, Prentice KJ, Hardy AB, Sultan S, Gaisano HY, Kong D, Gilon P, Herrera PL, Lowell BB, Wheeler MB. UCP2 regulates the glucagon response to fasting and starvation. Diabetes 62: 1623–1633, 2013. 2. Andersen ZJ, Raaschou-Nielsen O, Ketzel M, Jensen SS, Hvidberg M, Loft S, Tjønneland A, Overvad K, Sørensen M. 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However, we did observe marked increases in the transcripts of key enzymes of the antioxidant defense system (Sod1, Sod2, Cat, and Gpx1) as well as increased expression of Ucp2, an uncoupling protein known to be upregulated as a means to reduce endogenous ROS production (Fig. 7) (1, 17), and increases in both the nuclear receptor Ppard and the transcriptional coregulator Ppargc1, both of which are required for the induction of Sod1 and Sod2 (20, 50). Based on our current protocol, mice are exposed to EPFRs after inheritance of maternal mitochondria, indicating that this mitochondrial damage occurs in situ in the progeny. Importantly, we have also previously observed signs of oxidative stress in the pregnant dams exposed to MCP230 (52). It should be emphasized that in our case, EPFR exposure is indirect through the mother, as there is no evidence at present that the conjugated EPFR crosses the placenta to exert its effect on the muscle directly. However, we hypothesize that the changes we observe in the skeletal muscle mitochondria of the MCP230-exposed mice are at least in part a consequence of ROS-induced posttranslational changes and chronic oxidative stress. Future studies with more direct measurements of mitochondrial function and the oxidative stress response will provide more mechanistic insight into this process. In contrast to previous studies that use chronic pollution models (1, 5, 9, 33, 35), we did not observe any indications that glycemic control was impaired to a greater extent in MCP230exposed mice compared with the control groups following the HFD despite differences in fat mass. It should be noted that all of the mice in this study received the HFD to induce obesity and its metabolic comorbidities, and although we did not measure fasting glucose or insulin concentrations prior to the change in diet, the fasting glucose and insulin concentrations of all mice post-HFD were elevated compared with chow-fed mice of a similar age, regardless of exposures. There were no differences in fasting glucose, insulin, HOMA-IR score (Fig. 3, A–C), or Akt phosphorylation in muscle tissue (data not shown). We did not measure insulin sensitivity directly, which limits our ability to make strong conclusions about the effects of acute in utero PM exposure on insulin sensitivity. That said, our data suggest that the effects of acute gestational particulate exposure may not mimic the effects of chronic exposure, and the risk profiles and mechanisms associated with these exposures may differ. In conclusion, we have investigated the effects of limited gestational exposure to combustion-derived pollutants in a mouse model of diet-induced obesity. Our findings show that even brief gestational exposure to environmental pollutants such as EPFRs can result in chronic changes in growth, metabolism, and energy balance. These changes are associated with skeletal muscle mitochondrial deficits and reductions in physical activity, which likely contribute to reduced energy expenditure and a predisposition to elevated body weight when exposed to a HFD. 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Avantaggiati ML, Avrahami L, Awale S, Azad N, Bachetti T, Backer JM, Bae DH, Bae J, Bae O-N, Bae SH, Baehrecke EH, Baek SH, Baghdiguian S, Bagniewska-Zadworna A, Bai H, Bai J, Bai XY, Bailly Y, Balaji KN, Balduini W, Ballabio A, Balzan R, Banerjee R, Bánhegyi G, Bao H, Barbeau B, Barrachina MD, Barreiro E, Bartel B, Bartolomé A, Bassham DC, Bassi MT, Bast RC, Basu A, Batista MT, Batoko H, Battino M, Bauckman K, Baumgarner BL, Bayer KU, Beale R, Beaulieu J-F, Beck GR, Becker C, Beckham JD, Bédard PA, Bednarski PJ, Begley TJ, Behl C, Behrends C, Behrens GM, Behrns KE, Bejarano E, Belaid A, Belleudi F, Bénard G, Berchem G, Bergamaschi D, Bergami M, Berkhout B, Berliocchi L, Bernard A, Bernard M, Bernassola F, Bertolotti A, Bess AS, Besteiro S, Bettuzzi S, Bhalla S, Bhattacharyya S, Bhutia SK, Biagosch C, Bianchi MW, BiardPiechaczyk M, Billes V, Bincoletto C, Bingol B, Bird SW, Bitoun M, Bjedov I, Blackstone C, Blanc L, Blanco GA, Blomhoff HK, BoadaRomero E, Böckler S, Boes M, Boesze-Battaglia K, Boise LH, Bolino A, Boman A, Bonaldo P, Bordi M, Bosch J, Botana LM, Botti J, Bou G, Bouché M, Bouchecareilh M, Boucher MJ, Boulton ME, Bouret SG, Boya P, Boyer-Guittaut M, Bozhkov PV, Brady N, Braga VM, GESTATIONAL EPFR EXPOSURE AND ENERGY EXPENDITURE Knuppertz L, Ko JL, Kobayashi S, Koch JC, Koechlin-Ramonatxo C, Koenig U, Koh YH, Köhler K, Kohlwein SD, Koike M, Komatsu M, Kominami E, Kong D, Kong HJ, Konstantakou EG, Kopp BT, Korcsmaros T, Korhonen L, Korolchuk VI, Koshkina N V, Kou Y, Koukourakis MI, Koumenis C, Kovács AL, Kovács T, Kovacs WJ, Koya D, Kraft C, Krainc D, Kramer H, Kravic-Stevovic T, Krek W, Kretz-Remy C, Krick R, Krishnamurthy M, Kriston-Vizi J, Kroemer G, Kruer MC, Kruger R, Ktistakis NT, Kuchitsu K, Kuhn C, Kumar AP, Kumar A, Kumar A, Kumar D, Kumar D, Kumar R, Kumar S, Kundu M, Kung HJ, Kuno A, Kuo SH, Kuret J, Kurz T, Kwok T, Kwon TK, Kwon YT, Kyrmizi I, La Spada AR, Lafont F, Lahm T, Lakkaraju A, Lam T, Lamark T, Lancel S, Landowski TH, Lane DJ, Lane JD, Lanzi C, Lapaquette P, Lapierre LR, Laporte J, Laukkarinen J, Laurie GW, Lavandero S, Lavie L, LaVoie MJ, Law BYK, Law HK, Law KB, Layfield R, Lazo PA, Le Cam L, Le Roch KG, Le Stunff H, Leardkamolkarn V, Lecuit M, Lee BH, Lee CH, Lee EF, Lee GM, Lee HJ, Lee H, Lee JK, Lee J, Lee J, Lee JH, Lee M, Lee MS, Lee PJ, Lee SW, Lee SJ, Lee SJ, Lee SY, Lee SH, Lee SS, Lee SJ, Lee S, Lee YR, Lee YJ, Lee YH, Leeuwenburgh C, Lefort S, Legouis R, Lei J, Lei QY, Leib DA, Leibowitz G, Lekli I, Lemaire SD, Lemasters JJ, Lemberg MK, Lemoine A, Leng S, Lenz G, Lenzi P, Lerman LO, Lettieri Barbato D, Leu JI, Leung HY, Levine B, Lewis PA, Lezoualc’h F, Li C, Li F, Li FJ, Li J, Li K, Li L, Li M, Li Q, Li R, Li S, Li W, Li X, Li Y, Lian J, Liang C, Liang Q, Liao Y, Liberal J, Liberski PP, Lie P, Lieberman AP, Lim HJ, Lim KL, Lim K, Lima RT, Lin CS, Lin CF, Lin F, Lin F, Lin FC, Lin K, Lin KH, Lin PH, Lin T, Lin WW, Lin YS, Lin Y, Linden R, Lindholm D, Lindqvist LM, Lingor P, Linkermann A, Liotta LA, Lipinski MM, Lira VA, Lisanti MP, Liton PB, Liu B, Liu C, Liu CF, Liu F, Liu HJ, Liu J, Liu JJ, Liu JL, Liu K, Liu L, Liu L, Liu Q, Liu RY, Liu S, Liu S, Liu W, Liu XD, Liu X, Liu XH, Liu X, Liu X, Liu X, Liu Y, Liu Y, Liu Z, Liu Z, Liuzzi JP, Lizard G, Ljujic M, Lodhi IJ, Logue SE, Lokeshwar BL, Long YC, Lonial S, Loos B, López-Otín C, López-Vicario C, Lorente M, Lorenzi PL, Lõrincz P, Los M, Lotze MT, Lovat PE, Lu B, Lu B, Lu J, Lu Q, Lu SM, Lu S, Lu Y, Luciano F, Luckhart S, Lucocq JM, Ludovico P, Lugea A, Lukacs NW, Lum JJ, Lund AH, Luo H, Luo J, Luo S, Luparello C, Lyons T, Ma J, Ma Y, Ma Y, Ma Z, Machado J, Machado-Santelli GM, Macian F, MacIntosh GC, MacKeigan JP, Macleod KF, MacMicking JD, MacMillan-Crow LA, Madeo F, Madesh M, Madrigal-Matute J, Maeda A, MaedaT, MaegawaG, MaellaroE, MaesH, Magariños M, Maiese K, Maiti TK, Maiuri L, Maiuri MC, Maki CG, Malli R, Malorni W, Maloyan A, MamiChouaib F, Man N, Mancias JD, Mandelkow EM, Mandell MA, Manfredi AA, Manié SN, Manzoni C, Mao K, Mao Z, Mao ZW, Marambaud P, Marconi AM, Marelja Z, Marfe G, Margeta M, Margittai E, Mari M, Mariani F V, Marin C, Marinelli S, Mariño G, Markovic I, Marquez R, Martelli AM, Martens S, Martin KR, Martin SJ, Martin S, Martin-Acebes MA, Martín-Sanz P, Martinand-Mari C, Martinet W, Martinez J, Martinez-Lopez N, Martinez-Outschoorn U, Martínez-Velázquez M, Martinez-Vicente M, Martins WK, Mashima H, Mastrianni JA, Matarese G, Matarrese P, Mateo R, Matoba S, Matsumoto N, Matsushita T, Matsuura A, Matsuzawa T, Mattson MP, Matus S, Maugeri N, Mauvezin C, Mayer A, Maysinger D, Mazzolini GD, McBrayer MK, McCall K, McCormick C, McInerney GM, McIver SC, McKenna S, McMahon JJ, McNeish IA, MechtaGrigoriou F, Medema JP, Medina DL, Megyeri K, Mehrpour M, Mehta JL, Mei Y, Meier UC, Meijer AJ, Meléndez A, Melino G, Melino S, de Melo EJT, Mena MA, Meneghini MD, Menendez JA, Menezes R, Meng L, Meng L, Meng S, Menghini R, Menko AS, Menna-Barreto RF, Menon MB, Meraz-Ríos MA, Merla G, Merlini L, Merlot AM, Meryk A, Meschini S, Meyer JN, Mi M, Miao CY, Micale L, Michaeli S, Michiels C, Migliaccio AR, Mihailidou AS, Mijaljica D, Mikoshiba K, Milan E, Miller-Fleming L, Mills GB, Mills IG, Minakaki G, Minassian BA, Ming XF, Minibayeva F, Minina EA, Mintern JD, Minucci S, Miranda-Vizuete A, Mitchell CH, Miyamoto S, Miyazawa K, Mizushima N, Mnich K, Mograbi B, Mohseni S, Moita LF, Molinari M, Molinari M, Møller AB, Mollereau B, Mollinedo F, Mongillo M, Monick MM, Montagnaro S, Montell C, Moore DJ, Moore MN, Mora-Rodriguez R, Moreira PI, Morel E, Morelli MB, Moreno S, Morgan MJ, Moris A, Moriyasu Y, Morrison JL, Morrison LA, Morselli E, Moscat J, Moseley PL, Mostowy S, Motori E, Mottet D, Mottram JC, Moussa CE, Mpakou VE, Mukhtar H, Mulcahy Levy JM, Muller S, Muñoz-Moreno R, Muñoz-Pinedo C, Münz C, Murphy ME, Murray JT, Murthy A, Mysorekar IU, Nabi AJP-Endocrinol Metab • doi:10.1152/ajpendo.00521.2015 • www.ajpendo.org Downloaded from http://ajpendo.physiology.org/ by 10.220.33.6 on October 2, 2016 Chiela EC, Filomeni G, Fimia GM, Fingert JH, Finkbeiner S, Finkel T, Fiorito F, Fisher PB, Flajolet M, Flamigni F, Florey O, Florio S, Floto RA, Folini M, Follo C, Fon EA, Fornai F, Fortunato F, Fraldi A, Franco R, Francois A, François A, Frankel LB, Fraser ID, Frey N, Freyssenet DG, Frezza C, Friedman SL, Frigo DE, Fu D, Fuentes JM, Fueyo J, Fujitani Y, Fujiwara Y, Fujiya M, Fukuda M, Fulda S, Fusco C, Gabryel B, Gaestel M, Gailly P, Gajewska M, Galadari S, Galili G, Galindo I, Galindo MF, Galliciotti G, Galluzzi L, Galluzzi L, Galy V, Gammoh N, Gandy S, Ganesan AK, Ganesan S, Ganley IG, Gannagé M, Gao FB, Gao F, Gao JX, García Nannig L, García Véscovi E, Garcia-Macía M, Garcia-Ruiz C, Garg AD, Garg PK, Gargini R, Gassen NC, Gatica D, Gatti E, Gavard J, Gavathiotis E, Ge L, Ge P, Ge S, Gean PW, Gelmetti V, Genazzani AA, Geng J, Genschik P, Gerner L, Gestwicki JE, Gewirtz DA, Ghavami S, Ghigo E, Ghosh D, Giammarioli AM, Giampieri F, Giampietri C, Giatromanolaki A, Gibbings DJ, Gibellini L, Gibson SB, Ginet V, Giordano A, Giorgini F, Giovannetti E, Girardin SE, Gispert S, Giuliano S, Gladson CL, Glavic A, Gleave M, Godefroy N, Gogal RM, Gokulan K, Goldman GH, Goletti D, Goligorsky MS, Gomes A V, Gomes LC, Gomez H, Gomez-Manzano C, Gómez- Sánchez R, Gonçalves DA, Goncu E, Gong Q, Gongora C, Gonzalez CB, Gonzalez-Alegre P, GonzalezCabo P, González-Polo RA, Goping IS, Gorbea C, Gorbunov N V, Goring DR, Gorman AM, Gorski SM, Goruppi S, Goto-Yamada S, Gotor C, Gottlieb RA, Gozes I, Gozuacik D, Graba Y, Graef M, Granato GE, Grant GD, Grant S, Gravina GL, Green DR, Greenhough A, Greenwood MT, Grimaldi B, Gros F, Grose C, Groulx JF, Gruber F, Grumati P, Grune T, Guan JL, Guan KL, Guerra B, Guillen C, Gulshan K, Gunst J, Guo C, Guo L, Guo M, Guo W, Guo XG, Gust AA, Gustafsson ÅB, Gutierrez E, Gutierrez MG, Gwak HS, Haas A, Haber JE, Hadano S, Hagedorn M, Hahn DR, Halayko AJ, Hamacher-Brady A, Hamada K, Hamai A, Hamann A, Hamasaki M, Hamer I, Hamid Q, Hammond EM, Han F, Han W, Handa JT, Hanover JA, Hansen M, Harada M, Harhaji-Trajkovic L, Harper JW, Harrath AH, Harris AL, Harris J, Hasler U, Hasselblatt P, Hasui K, Hawley RG, Hawley TS, He C, He CY, He F, He G, He RR, He XH, He YW, He YY, Heath JK, Hébert MJ, Heinzen RA, Helgason GV, Hensel M, Henske EP, Her C, Herman PK, Hernández A, Hernandez C, Hernández-Tiedra S, Hetz C, Hiesinger PR, Higaki K, Hilfiker S, Hill BG, Hill JA, Hill WD, Hino K, Hofius D, Hofman P, Höglinger GU, Höhfeld J, Holz MK, Hong Y, Hood DA, Hoozemans JJ, Hoppe T, Hsu C, Hsu CY, Hsu LC, Hu D, Hu G, Hu HM, Hu H, Hu MC, Hu YC, Hu ZW, Hua F, Hua Y, Huang C, Huang HL, Huang KH, Huang KY, Huang S, Huang S, Huang WP, Huang YR, Huang Y, Huang Y, Huber TB, Huebbe P, Huh WK, Hulmi JJ, Hur GM, Hurley JH, Husak Z, Hussain SN, Hussain S, Hwang JJ, Hwang S, Hwang TI, Ichihara A, Imai Y, Imbriano C, Inomata M, Into T, Iovane V, Iovanna JL, Iozzo R V, Ip NY, Irazoqui JE, Iribarren P, Isaka Y, Isakovic AJ, Ischiropoulos H, Isenberg JS, Ishaq M, Ishida H, Ishii I, Ishmael JE, Isidoro C, Isobe K, Isono E, Issazadeh-Navikas S, Itahana K, Itakura E, Ivanov AI, Iyer AK V, Izquierdo JM, Izumi Y, Izzo V, Jäättelä M, Jaber N, Jackson DJ, Jackson WT, Jacob TG, Jacques TS, Jagannath C, Jain A, Jana NR, Jang BK, Jani A, Janji B, Jannig PR, Jansson PJ, Jean S, Jendrach M, Jeon JH, Jessen N, Jeung EB, Jia K, Jia L, Jiang H, Jiang H, Jiang L, Jiang T, Jiang X, Jiang X, Jiang Y, Jiang Y, Jiménez A, Jin C, Jin H, Jin L, Jin M, Jin S, Jinwal UK, Jo EK, Johansen T, Johnson DE, Johnson GV, Johnson JD, Jonasch E, Jones C, Joosten LA, Jordan J, Joseph AM, Joseph B, Joubert AM, Ju D, Ju J, Juan HF, Juenemann K, Juhász G, Jung HS, Jung JU, Jung YK, Jungbluth H, Justice MJ, Jutten B, Kaakoush NO, Kaarniranta K, Kaasik A, Kabuta T, Kaeffer B, Kågedal K, Kahana A, Kajimura S, Kakhlon O, Kalia M, Kalvakolanu D V, Kamada Y, Kambas K, Kaminskyy VO, Kampinga HH, Kandouz M, Kang C, Kang R, Kang TC, Kanki T, Kanneganti TD, Kanno H, Kanthasamy AG, Kantorow M, Kaparakis-Liaskos M, Kapuy O, Karantza V, Karim MR, Karmakar P, Kaser A, Kaushik S, Kawula T, Kaynar AM, Ke PY, Ke ZJ, Kehrl JH, Keller KE, Kemper JK, Kenworthy AK, Kepp O, Kern A, Kesari S, Kessel D, Ketteler R, Kettelhut I do C, Khambu B, Khan MM, Khandelwal VK, Khare S, Kiang JG, Kiger AA, Kihara A, Kim AL, Kim CH, Kim DR, Kim DH, Kim EK, Kim HY, Kim HR, Kim JS, Kim JH, Kim JC, Kim JH, Kim KW, Kim MD, Kim MM, Kim PK, Kim SW, Kim SY, Kim YS, Kim Y, Kimchi A, Kimmelman AC, Kimura T, King JS, Kirkegaard K, Kirkin V, Kirshenbaum LA, Kishi S, Kitajima Y, Kitamoto K, Kitaoka Y, Kitazato K, Kley RA, Klimecki WT, Klinkenberg M, Klucken J, Knævelsrud H, Knecht E, E1013 E1014 GESTATIONAL EPFR EXPOSURE AND ENERGY EXPENDITURE ZH, Shepherd TG, Shi J, Shi Q, Shi Q, Shi Y, Shibutani S, Shibuya K, Shidoji Y, Shieh JJ, Shih CM, Shimada Y, Shimizu S, ShinDW, ShinoharaML, ShintaniM, ShintaniT, Shioi T, Shirabe K, Shiri-Sverdlov R, Shirihai O, Shore GC, Shu CW, Shukla D, Sibirny AA, Sica V, Sigurdson CJ, Sigurdsson EM, Sijwali PS, Sikorska B, Silveira WA, Silvente-Poirot S, Silverman GA, Simak J, Simmet T, Simon AK, Simon HU, Simone C, Simons M, Simonsen A, Singh R, Singh SV, Singh SK, Sinha D, Sinha S, Sinicrope FA, Sirko A, Sirohi K, Sishi BJ, Sittler A, Siu PM, Sivridis E, Skwarska A, Slack R, Slaninová I, Slavov N, Smaili SS, Smalley KS, Smith DR, Soenen SJ, Soleimanpour SA, Solhaug A, Somasundaram K, Son JH, Sonawane A, Song C, Song F, Song HK, Song JX, Song W, Soo KY, Sood AK, Soong TW, Soontornniyomkij V, Sorice M, Sotgia F, Soto-Pantoja DR, Sotthibundhu A, Sousa MJ, Spaink HP, Span PN, Spang A, Sparks JD, Speck PG, Spector SA, Spies CD, Springer W, Clair DS, Stacchiotti A, Staels B, Stang MT, Starczynowski DT, Starokadomskyy P, Steegborn C, Steele JW, Stefanis L, Steffan J, Stellrecht CM, Stenmark H, Stepkowski TM, Stern ST, Stevens C, Stockwell BR, Stoka V, Storchova Z, Stork B, Stratoulias V, Stravopodis DJ, Strnad P, Strohecker AM, Ström AL, Stromhaug P, Stulik J, Su YX, Su Z, Subauste CS, Subramaniam S, Sue CM, Suh SW, Sui X, Sukseree S, Sulzer D, Sun FL, Sun J, Sun J, Sun SY, Sun Y, Sun Y, Sun Y, Sundaramoorthy V, Sung J, Suzuki H, Suzuki K, Suzuki N, Suzuki T, Suzuki YJ, Swanson MS, Swanton C, Swärd K, Swarup G, Sweeney ST, Sylvester PW, Szatmari Z, Szegezdi E, Szlosarek PW, Taegtmeyer H, Tafani M, Taillebourg E, Tait SW, Takacs-Vellai K, Takahashi Y, Takáts S, Takemura G, Takigawa N, Talbot NJ, Tamagno E, Tamburini J, Tan CP, Tan L, Tan ML, Tan M, Tan YJ, Tanaka K, Tanaka M, Tang D, Tang D, Tang G, Tanida I, Tanji K, Tannous BA, Tapia JA, TassetCuevas I, Tatar M, Tavassoly I, Tavernarakis N, Taylor A, Taylor GS, Taylor GA, Taylor JP, Taylor MJ, Tchetina E V, Tee AR, TeixeiraClerc F, Telang S, Tencomnao T, Teng BB, Teng RJ, Terro F, Tettamanti G, Theiss AL, Theron AE, Thomas KJ, Thomé MP, Thomes PG, Thorburn A, Thorner J, Thum T, Thumm M, Thurston TL, Tian L, Till A, Ting JP, Titorenko VI, Toker L, Toldo S, Tooze SA, Topisirovic I, Torgersen ML, Torosantucci L, Torriglia A, Torrisi MR, Tournier C, Towns R, Trajkovic V, Travassos LH, Triola G, Tripathi DN, Trisciuoglio D, Troncoso R, Trougakos IP, Truttmann AC, Tsai KJ, Tschan MP, Tseng YH, Tsukuba T, Tsung A, Tsvetkov AS, Tu S, Tuan HY, Tucci M, Tumbarello DA, Turk B, Turk V, Turner RF, Tveita AA, Tyagi SC, Ubukata M, Uchiyama Y, Udelnow A, Ueno T, Umekawa M, Umemiya-Shirafuji R, Underwood BR, Ungermann C, Ureshino RP, Ushioda R, Uversky VN, Uzcátegui NL, Vaccari T, Vaccaro MI, Váchová L, Vakifahmetoglu-Norberg H, Valdor R, Valente EM, Vallette F, Valverde AM, Van den Berghe G, Van Den Bosch L, van den Brink GR, van der Goot FG, van der Klei IJ, van der Laan LJ, van Doorn WG, van Egmond M, van Golen KL, Van Kaer L, van Lookeren Campagne M, Vandenabeele P, Vandenberghe W, Vanhorebeek I, Varela-Nieto I, Vasconcelos MH, Vasko R, Vavvas DG, Vega-Naredo I, Velasco G, Velentzas AD, Velentzas PD, Vellai T, Vellenga E, Vendelbo MH, Venkatachalam K, Ventura N, Ventura S, Veras PS, Verdier M, Vertessy BG, Viale A, Vidal M, Vieira H LA, Vierstra RD, Vigneswaran N, Vij N, Vila M, Villar M, Villar VH, Villarroya J, Vindis C, Viola G, Viscomi MT, Vitale G, Vogl DT, Voitsekhovskaja O V, von Haefen C, von Schwarzenberg K, Voth DE, Vouret-Craviari V, Vuori K, Vyas JM, Waeber C, Walker CL, Walker MJ, Walter J, Wan L, Wan X, Wang B, Wang C, Wang CY, Wang C, Wang C, Wang C, Wang D, Wang F, Wang F, Wang G, Wang H, Wang H, Wang HG, Wang H, Wang HD, Wang J, Wang J, Wang M, Wang MQ, Wang PY, Wang P, Wang RC, Wang S, Wang TF, Wang X, Wang X, Wang XW, Wang X, Wang X, Wang Y, Wang Y, Wang Y, Wang YJ, Wang Y, Wang Y, Wang YT, Wang Y, Wang ZN, Wappner P, Ward C, Ward DM, Warnes G, Watada H, Watanabe Y, Watase K, Weaver TE, Weekes CD, Wei J, Weide T, Weihl CC, Weindl G, Weis SN, Wen L, Wen X, Wen Y, Westermann B, Weyand CM, White AR, White E, Whitton JL, Whitworth AJ, Wiels J, Wild F, Wildenberg ME, Wileman T, Wilkinson DS, Wilkinson S, Willbold D, Williams C, Williams K, Williamson PR, Winklhofer KF, Witkin SS, Wohlgemuth SE, Wollert T, Wolvetang EJ, Wong E, Wong GW, Wong RW, Wong VKW, Woodcock EA, Wright KL, Wu C, Wu D, Wu GS, Wu J, Wu J, Wu M, Wu M, Wu S, Wu WK, Wu Y, Wu Z, Xavier CP, Xavier RJ, Xia GX, Xia T, Xia W, Xia Y, Xiao H, Xiao J, Xiao S, Xiao W, Xie CM, Xie Z, Xie Z, Xilouri M, Xiong Y, Xu C, Xu C, Xu F, Xu H, Xu H, Xu J, Xu J, Xu J, Xu L, Xu X, Xu Y, AJP-Endocrinol Metab • doi:10.1152/ajpendo.00521.2015 • www.ajpendo.org Downloaded from http://ajpendo.physiology.org/ by 10.220.33.6 on October 2, 2016 IR, Nabissi M, Nader GA, Nagahara Y, Nagai Y, Nagata K, Nagelkerke A, Nagy P, Naidu SR, Nair S, Nakano H, Nakatogawa H, Nanjundan M, Napolitano G, Naqvi NI, Nardacci R, Narendra DP, Narita M, Nascimbeni AC, Natarajan R, Navegantes LC, Nawrocki ST, Nazarko TY, Nazarko VY, Neill T, Neri LM, Netea MG, NeteaMaier RT, Neves BM, Ney PA, Nezis IP, Nguyen HT, Nguyen HP, Nicot AS, Nilsen H, Nilsson P, Nishimura M, Nishino I, Niso-Santano M, Niu H, Nixon RA, Njar VC, Noda T, Noegel AA, Nolte EM, Norberg E, Norga KK, Noureini SK, Notomi S, Notterpek L, Nowikovsky K, Nukina N, Nürnberger T, O’Donnell VB, O’Donovan T, O’Dwyer PJ, Oehme I, Oeste CL, Ogawa M, Ogretmen B, Ogura Y, Oh YJ, Ohmuraya M, Ohshima T, Ojha R, Okamoto K, Okazaki T, Oliver FJ, Ollinger K, Olsson S, Orban DP, Ordonez P, Orhon I, Orosz L, O’Rourke EJ, Orozco H, Ortega AL, Ortona E, Osellame LD, Oshima J, Oshima S, Osiewacz HD, Otomo T, Otsu K, Ou JJ, Outeiro TF, Ouyang D, Ouyang H, Overholtzer M, Ozbun MA, Ozdinler PH, Ozpolat B, Pacelli C, Paganetti P, Page G, Pages G, Pagnini U, Pajak B, Pak SC, Pakos-Zebrucka K, Pakpour N, Palková Z, Palladino F, Pallauf K, Pallet N, Palmieri M, Paludan SR, Palumbo C, Palumbo S, Pampliega O, Pan H, Pan W, Panaretakis T, Pandey A, Pantazopoulou A, Papackova Z, Papademetrio DL, Papassideri I, Papini A, Parajuli N, Pardo J, Parekh V V, Parenti G, Park JI, Park J, Park OK, Parker R, Parlato R, Parys JB, 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