Artigo Acesso aberto Revisado por pares

Lipid metabolome-wide effects of the PPARγ agonist rosiglitazone

2002; Elsevier BV; Volume: 43; Issue: 11 Linguagem: Inglês

10.1194/jlr.m200169-jlr200

ISSN

1539-7262

Autores

Steven M. Watkins, Peter R. Reifsnyder, Huei-Ju Pan, J. Bruce German, Edward H. Leiter,

Tópico(s)

Adipose Tissue and Metabolism

Resumo

Successful therapy for chronic diseases must normalize a targeted aspect of metabolism without disrupting the regulation of other metabolic pathways essential for maintaining health. Use of a limited number of single molecule surrogates for disease, or biomarkers, to monitor the efficacy of a therapy may fail to predict undesirable side effects. In this study, a comprehensive metabolomic assessment of lipid metabolites was employed to determine the specific effects of the peroxisome proliferator-activated receptor γ (PPARγ) agonist rosiglitazone on structural lipid metabolism in a new mouse model of Type 2 diabetes. Dietary supplementation with rosiglitazone (200 mg/kg diet) suppressed Type 2 diabetes in obese (NZO × NON)F1 male mice, but chronic treatment markedly exacerbated hepatic steatosis. The metabolomic data revealed that rosiglitazone i) induced hypolipidemia (by dysregulating liver–plasma lipid exchange), ii) induced de novo fatty acid synthesis, iii) decreased the biosynthesis of lipids within the peroxisome, iv) substantially altered free fatty acid and cardiolipin metabolism in heart, and v) elicited an unusual accumulation of polyunsaturated fatty acids within adipose tissue. These observations suggest that the phenotypes induced by rosiglitazone are mediated by multiple tissue-specific metabolic variables.Because many of the effects of rosiglitazone on tissue metabolism were reflected in the plasma lipid metabolome, metabolomics has excellent potential for developing clinical assessments of metabolic response to drug therapy. Successful therapy for chronic diseases must normalize a targeted aspect of metabolism without disrupting the regulation of other metabolic pathways essential for maintaining health. Use of a limited number of single molecule surrogates for disease, or biomarkers, to monitor the efficacy of a therapy may fail to predict undesirable side effects. In this study, a comprehensive metabolomic assessment of lipid metabolites was employed to determine the specific effects of the peroxisome proliferator-activated receptor γ (PPARγ) agonist rosiglitazone on structural lipid metabolism in a new mouse model of Type 2 diabetes. Dietary supplementation with rosiglitazone (200 mg/kg diet) suppressed Type 2 diabetes in obese (NZO × NON)F1 male mice, but chronic treatment markedly exacerbated hepatic steatosis. The metabolomic data revealed that rosiglitazone i) induced hypolipidemia (by dysregulating liver–plasma lipid exchange), ii) induced de novo fatty acid synthesis, iii) decreased the biosynthesis of lipids within the peroxisome, iv) substantially altered free fatty acid and cardiolipin metabolism in heart, and v) elicited an unusual accumulation of polyunsaturated fatty acids within adipose tissue. These observations suggest that the phenotypes induced by rosiglitazone are mediated by multiple tissue-specific metabolic variables. Because many of the effects of rosiglitazone on tissue metabolism were reflected in the plasma lipid metabolome, metabolomics has excellent potential for developing clinical assessments of metabolic response to drug therapy. Subtle, but chronic, dysregulations of metabolism are the basis for many diseases of affluent societies. This is particularly true for diseases such as obesity, Type 2 diabetes, and atherosclerosis. Successful intervention in these diseases with drugs or nutrition requires normalizing the targeted metabolism without producing defects in other metabolic pathways. Failure to do so may exchange a naturally developing pathology with a new one induced by the treatment. Therefore, accurate assessments of therapeutic effectiveness and safety must measure metabolism comprehensively, a goal that is impossible using single-biomarker analyses. Quantitative and comprehensive analyses of the metabolome can assess metabolic response to a therapy with much greater accuracy and power than biomarker approaches. In this study, a quantitative and comprehensive analysis of the structural lipid metabolome was applied to gain an understanding of the effects that the Type 2 diabetes drug rosiglitazone has on liver metabolism.Thiazolidinediones (TZDs) are potent therapeutic agents that have proven successful in the treatment of Type 2 diabetes in rodent models and in humans (1Spiegelman B.M. PPAR-gamma: adipogenic regulator and thiazolidinedione receptor.Diabetes. 1998; 47: 507-514Google Scholar). These compounds, including troglitazone, rosiglitazone, and pioglitazone, are believed to exert their benefit as high affinity agonists of peroxisome proliferator-activated receptor γ (PPARγ), whose subsequent activation of multiple nuclear genes reduces hyperlipidemia and hyperglycemia and improves insulin sensitivity (2Saltiel A.R. Olefsky J.M. Thiazolidinediones in the treatment of insulin resistance and type II diabetes.Diabetes. 1996; 45: 1661-1669Google Scholar). Included among the many actions of TZDs are shifts in systemic lipid profiles, with decreases in serum lipid concentrations. However, these actions of TZDs are accompanied by increased adipogenesis and lipid accumulation in tissues. A major question associated with these drugs and their mechanism of action is whether the benefits to circulating lipid concentrations can be disassociated from metabolic side effects, including hepatic lipid accumulation. Troglitazone- and rosiglitazone-associated hepatotoxicity (steatosis) was recently reported in KK-Ay mice in the absence of increased hepatic triacylglycerides concentrations (3Bedoucha M. Atzpodien E. Boelsterli U.A. Diabetic KKAy mice exhibit increased hepatic PPARgamma1 gene expression and develop hepatic steatosis upon chronic treatment with antidiabetic thiazolidinediones.J. Hepatol. 2001; 35: 17-23Google Scholar). In addition, a small number of human patients treated with troglitazone developed severe hepatotoxicity (4Parulkar A.A. Pendergrass. M.L. Granda-Ayala R. Lee T.R. Fonseca V.A. Nonhypoglycemic effects of thiazolidinediones.Ann. Intern. Med. 2001; 134: 61-71Google Scholar). Assessing the variable metabolic response to TZDs is therefore necessary to evaluate the safety or efficacy of TZDs in individuals.In mice, diabesity genes are defined as obesity-predisposing genes capable of interacting deleteriously with other susceptibility loci, as well as with environmental factors, to elicit a state of impaired glucose tolerance and insulin resistance sufficiently severe to precipitate development of Type 2 diabetes (5Leiter E.H. Reifsnyder P.C. Flurkey K. Partke H.J. Junger E. Herberg L. NIDDM genes in mice: deleterious synergism by both parental genomes contributes to diabetogenic thresholds.Diabetes. 1998; 47: 1287-1295Google Scholar, 6Reifsnyder P.C. Churchill G. Leiter E.H. Maternal environment and genotype interact to establish diabesity in mice.Genome Res. 2000; 10: 1568-1578Google Scholar). A new mouse diabesity model that potentially reflects the more common polygenic forms of Type 2 diabetes prevalent in humans is the F1 male generated by crossing mice from the New Zealand Obese (NZO/HlLt) and Nonobese Nondiabetic (NON/Lt) strains. F1 males of these two mouse strains develop early-onset obesity leading to a progressively more severe hyperinsulinemia and development of maturity-onset hyperglycemia in 90–100% of the males maintained on a standard rodent chow containing only 6% fat (5Leiter E.H. Reifsnyder P.C. Flurkey K. Partke H.J. Junger E. Herberg L. NIDDM genes in mice: deleterious synergism by both parental genomes contributes to diabetogenic thresholds.Diabetes. 1998; 47: 1287-1295Google Scholar). Because preliminary studies showed that chronic feeding of troglitazone (2 g/kg diet) produced marked hepatic steatosis in these animals, they may provide an appropriate model for testing the potentially deleterious effects of TZD treatment on liver metabolism. These preliminary studies showed that rosiglitazone was a more potent anti-diabetic TZD than troglitazone. In this study, an assessment of the lipid metabolome (the concentration of each lipid class and each of its constituent fatty acids) was applied to evaluate the effect of chronic feeding of a low dose (0.2 g/kg diet) of rosiglitazone on the lipid metabolism of diabetic F1 males. Analysis of the results of the study revealed key targets of the actions of rosiglitazone, and putatively PPARγ, on lipid metabolism.MATERIALS AND METHODSMice(NZO × NON)F1 male mice were bred and maintained as described previously (6Reifsnyder P.C. Churchill G. Leiter E.H. Maternal environment and genotype interact to establish diabesity in mice.Genome Res. 2000; 10: 1568-1578Google Scholar). Thirteen obese and diabetic (NZO × NON)F1 males between 29 and 33 weeks of age were split into two groups. A group of six males was fed (ad libitum) the maintenance (control) diet (NIH-31 containing 6% fat; Purina, Richmond, IN). Seven males were fed the same diet supplemented with 200 mg rosiglitazone/kg diet. Both diets were received in powdered form, pelleted, and irradiated by Research Diets, New Brunswick, NJ. After 4 weeks of feeding, the mice were euthanized by CO2 inhalation, and blood was collected by heart puncture using a heparinized 25-gauge needle and syringe (5% heparin). Heart, liver, and inguinal adipose were collected, weighed, and frozen in liquid nitrogen for subsequent analysis. A section of each liver was used for histologic analysis (fixation in Telly's fluid and periodic acid-Schiff staining). Quantitative lipid metabolome analysis and RT-PCR (described below) were performed on frozen samples from control and rosiglitazone-treated mice.PhenotypesBody weight was measured immediately pre-treatment and at 2 and 4 weeks during dietary treatment. Plasma glucose concentrations were measured immediately pre-treatment and after 4 weeks of treatment (Beckman Glucose 2 analyzer, Beckman Instruments, Fullerton, CA). Plasma insulin and leptin concentrations were measured at termination by rat insulin or mouse leptin radioimmune assay kits (Linco, St. Charles, MO). A Synchron 5 chemistry analyzer (Beckman Instruments) was used for clinical chemistry. Plasma alanine aminotransfease was assessed as an indicator of liver damage. Total serum cholesterol and triacylglycerides were also measured.Gene expressionTotal RNA was isolated from slices of frozen livers and inguinal adipose tissue from five mice per group using Trizol and following the protocol supplied by the manufacturer (Gibco-BRL, Gaithersburg, MD). Details regarding cDNA preparation, primer pair sequences for the transcripts shown in Table 2 and 3, and the conditions used for specific gene amplification in an ABI Prism® 7700 Sequence Detection System (PE Applied Biosystems, Foster City, CA) can be found at http://www.jax.org/research/leiter/documents/databases.html.TABLE 2Quantitative changes in hepatic gene transcript levels induced by rosiglitazone feedingaQuantitative (real-time) PCR was performed on hepatic RNA extracted from five individual mice per group as described in Materials and Methods.Gene ProductsΔΔCT (Rosi-Control)Fold Change 2-ΔΔCTP ValueAdipsin (ADN )−6.5694.660.0002Fatty acid binding protein 4 (aP2)−4.9130.060.0002Fatty acid synthase (FAS)−2.606.060.0001Lipoprotein lipase (LPL)−2.515.710.004Fatty acid translocase (CD36)−1.132.190.12Peroxisome proliferator-activated receptor γ1 (PPARγ1)0.030.970.97Peroxisome proliferator-activated receptor γ2 (PPARγ2)−0.041.030.96Acetyl-CoA carboxylase (ACC)0.070.950.90Peroxisome proliferator-activated receptor α (PPARα)0.510.700.08Acetyl-CoA oxidase (ACO)−1.032.040.15Cytochrome P450 4A1(CYP4A1)−0.941.920.14Carnitine palmitoyl transferase 1α (CPT1α)0.370.770.55Statistical significance between the two groups was determined using a paired Student's t-test assuming unequal variances and correcting for multiple comparisons (α, 0.0042).a Quantitative (real-time) PCR was performed on hepatic RNA extracted from five individual mice per group as described in Materials and Methods. Open table in a new tab TABLE 3Quantitative changes in inguinal fat gene transcript levels induced by rosiglitazone feedingaQuantitative (real-time) PCR was performed on inguinal fat RNA extracted from five individual mice per group as described in Materials and Methods.Gene ProductsΔΔCT (Rosi-Control)Fold Change 2-ΔΔCTP ValueUncoupling protein 1 (UCP1)−7.59192.970.00095Fatty acid synthase (FAS)−2.746.690.036Adipsin (ADN )2.860.140.0042Leptin1.450.370.046Tumor necrosis factor α (TNFα)2.680.160.0047Uncoupling protein 2 (UCP2)1.710.300.013Acetyl-CoA oxidase (ACO)−1.022.030.12Acetyl-CoA carboxylase (ACC)−0.661.580.22Fatty acid binding protein 4 (aP2)−0.251.190.61Uncoupling protein 3 (UCP3)0.760.590.29PPARγ10.270.830.52PPARγ20.940.520.54Statistical significance between the two groups was determined using a paired Student's t-test and correcting for multiple comparisons (α, 0.0042).a Quantitative (real-time) PCR was performed on inguinal fat RNA extracted from five individual mice per group as described in Materials and Methods. Open table in a new tab Gene expression data were obtained by measuring the fluorescence intensity for each PCR reaction using the system software and was analyzed in Excel® (Microsoft Corporation, Redmond, WA). CT is the PCR cycle number where amplification shifts from linear to logarithmic. ΔCT is the difference between the target gene and the internal reference (18S RNA). ΔΔCT is the difference for the ΔCT for the target gene as a function of treatment. Fold-differences are expressed as 2-ΔΔCT.Lipid metabolome dataThe lipids from plasma and tissues were extracted in the presence of authentic internal standards by the method of Folch et al. (7Folch J. Lees M. Sloane-Stanley G.H. A simple method for the isolation and purification of total lipids from animal tissues.J. Biol. Chem. 1957; 226: 497-509Google Scholar) using chloroform-methanol (2:1, v/v). Heart or liver tissue (25 mg), 200 μl plasma, or 10 mg inguinal adipose tissue was used for each analysis. Individual lipid classes within each extract were separated by preparative thin-layer chromatography as described previously (8Watkins S.M. Lin T.Y. Davis R.M. Ching J.R. DePeters E.J. Halpern G.M. Walzem R.L. German J.B. Unique phospholipid metabolism in mouse heart in response to dietary docosahexaenoic or α-linolenic acids.Lipids. 2001; 36: 247-254Google Scholar). Authentic lipid class standard compounds were spotted on the two outside lanes of the thin-layer chromatography plate to enable localization of the sample lipid classes. Each lipid fraction was scraped from the plate and trans-esterified in 3 N methanolic-HCl in a sealed vial under a nitrogen atmosphere at 100°C for 45 min. The resulting fatty acid methyl esters were extracted from the mixture with hexane containing 0.05% butylated hydroxytoluene and prepared for gas chromatography by sealing the hexane extracts under nitrogen.Fatty acid methyl esters were separated and quantified by capillary gas chromatography using a gas chromatograph (Hewlett-Packard model 6890, Wilmington, DE) equipped with a 30 m DB-225MS capillary column (J&W Scientific, Folsom, CA) and a flame-ionization detector as described previously (8Watkins S.M. Lin T.Y. Davis R.M. Ching J.R. DePeters E.J. Halpern G.M. Walzem R.L. German J.B. Unique phospholipid metabolism in mouse heart in response to dietary docosahexaenoic or α-linolenic acids.Lipids. 2001; 36: 247-254Google Scholar).Data processing and statisticsSignificance of differences in phenotypic parameters between rosiglitazone treated and control mice as well as treatment effects on tissue lipid metabolite concentrations were assessed by unpaired Student's t-tests, with significance assumed at P ⩽ 0.05. For the quantitative PCR comparisons of transcript levels in liver and inguinal fat, a paired Student's t-test assuming unequal variance was performed and a Bonferroni correction was made for multiple comparisons (α, 0.0042).Quantitative (nmol/g) data were visualized using the Lipomics Surveyor™ software system, which creates a "heat-map" graph of the difference between the data for treated and control mice. The Surveyor™ data (see Results) are read as follows: the column headers display the fatty acid and the family of fatty acids present in each lipid class, which are in turn described in the row headers. The lipid classes are grouped by tissue. The heat map displays an increase in each metabolite in rosiglitazone-treated mice relative to control mice as a green square and a decrease in a metabolite as a red square. The brightness of the square indicates the magnitude of the difference, as detailed in the figure legends.RESULTSPhenotypic assessment of rosiglitazone treatmentPrior to dietary treatment with rosiglitazone, both the treated group and the control group of mice were comparably obese and chronically diabetic. The pre-treatment mean plasma glucose concentrations and body weights for the rosiglitazone-treated group were not significantly different from the untreated group (Table 1). After 4 weeks of rosiglitazone treatment, diabetic hyperglycemia was completely reversed, and the reversal of hyperglycemia was accompanied by significant declines in plasma concentrations of insulin, leptin, triacylglycerides, and cholesterol (Table 1). Despite the decrease in plasma lipids with treatment, mice treated with rosiglitazone gained significantly more body weight than control mice (Table 1), and this treated group exhibited significantly increased mean wet weights in inguinal (but not gonadal) fat, heart, liver, and pancreas (data not shown). Increased serum alanine aminotransferase in treated mice compared with control mice indicated rosiglitazone-associated hepatotoxicity. Figure 1shows liver histopathology for both groups. Whereas both groups of mice showed multiple foci of macrovesicular fat accumulation, hepatic lipidosis, as evidenced by macrovesicular fat droplets within hepatocytes, was greater in rosiglitazone-treated mice (Fig. 1B) than in control mice (Fig. 1A).TABLE 1Phenotypic changesaData are means and SEM for each group. following 4-week rosiglitazone treatmentPhenotypeControlRosiglitazoneP bTest of significant main effect of treatment by ANOVA.Body weight (g)-start66.6 ± 1.367.3 ± 1.3NSBody weight (g)-end70.6 ± 1.581.6 ± 1.0<0.001Plasma glucose (mg/dl)-start 387 ± 41 350 ± 31NSPlasma glucose (mg/dl)-end 446 ± 22 160 ± 13<0.001Plasma insulin (ng/ml)65.0 ± 5.5 4.1 ± 0.4<0.001Plasma leptin (ng/ml)54.6 ± 5.542.4 ± 1.60.043Plasma cholesterol (mg/dl) 190 ± 12 124 ± 5<0.001Plasma triacylglycerides (mg/dl) 145 ± 13 56 ± 9<0.001Plasma alanine aminotransfease (IU/l) 60 ± 14.5 100 ± 6.10.021a Data are means and SEM for each group.b Test of significant main effect of treatment by ANOVA. Open table in a new tab Quantitative gene expressionQuantitative gene expression data were collected for selected genes involved in lipid metabolism. In liver, quantitative differences in expression of genes encoding adipsin (ADN), fatty acid binding protein 4 (commonly called aP2), fatty acid synthase (FAS), lipoprotein lipase (LPL), fatty acid translocase (CD36), peroxisome proliferator-activated receptors (PPARα, PPARγ1, and PPARγ2), acetyl-CoA carboxylase (ACC), acetyl-CoA oxidase (ACO), cytochrome P450 4A1 (CYP4a1), and carnitine palmitoyl transferase 1α (CPT1a) between treated and untreated mice were determined as described in the Materials and Methods. In confirmation of the morphology showing increased lipid accumulation in livers of rosiglitazone treated males, ADN, aP2, FAS, and LPL transcripts were quantitatively greater in treated mice relative to untreated controls (Table 2). The expression of PPARγ1, PPARγ2, and PPARα did not differ significantly between the groups (Table 2). The greater expression of FAS is consistent with the greater concentrations of 16:1n7 and 18:1n7 observed in treated mice relative to untreated mice, and together these observations demonstrate a clear upregulation of de novo fatty acid synthesis with rosiglitazone treatment. Increases in ADN and aP2 transcripts, both associated with adipogenesis, are consistent with the lipid metabolome profiles showing rosiglitazone-induced increases in hepatic lipid accumulation.Table 3 shows rosiglitazone-mediated differences in gene expression in inguinal fat. In addition to the transcript panel described in Table 2, additional adipocyte-expressed transcripts analyzed included those of the family of uncoupling proteins (UCP1, UCP2, and UCP3), leptin, and tumor necrosis factor α (TNFα). The most striking difference was a 192-fold upregulation of UCP1 transcription. Adipsin, a marker of adipogenesis, was significantly decreased. A rosiglitazone-induced 6.7-fold increase in FAS, although not statistically significant after correction for multiple comparisons, correlated with the observed increase in UCP1 as well as the lipid metabolome profile showing increased 16:1n7 and 18:1n7 concentrations in inguinal adipose tissue (Fig. 2).Fig. 2Rosiglitazone treatment exerts strong and tissue-specific effects on lipid class metabolism. The concentration (expressed in nmol/g sample) of each lipid metabolite from treated and untreated mice was used to generate the summary data displayed here as a heat map. The first column displays the quantitative difference in the concentration of each lipid class between the groups. The next columns, in order, describe the quantitative difference in the concentration of saturated fatty acids, monounsaturated fatty acids, polyunsaturated fatty acids, n3 fatty acids, n6 fatty acids, n7 fatty acids, n9 fatty acids, and plasmalogen lipids among the groups. The magnitude of the difference, expressed as a percentage change in the quantitative data between treated and untreated mice, is represented by color according to the legend. Differences not meeting a P < 0.05 are displayed in black.View Large Image Figure ViewerDownload (PPT)Metabolomic assessment of plasma lipidsThe results of the quantitative assessment of the plasma lipid metabolome in rosiglitazone-treated and untreated mice are shown in Table 4 of the Supplemental Data and in Fig. 2 and Fig. 3. Lipid metabolite concentrations in plasma confirmed the rosiglitazone-induced depletion of specific classes of plasma lipids. Significant rosiglitazone-mediated decreases in phosphatidylcholine, triacylglyceride, and cholesterol ester distinguished rosiglitazone-treated mice from untreated mice, whereas no significant decreases in sphingomyelin, phosphatidylethanolamine, or free fatty acids were observed (Fig. 2). Phosphatidylcholine and triacylglycerides are derived principally from liver lipid export. Total plasma triacylglyceride concentrations were lower in treated mice (400 nmol/g) than in untreated mice (1,400 nmol/g) (Fig. 2). The concentrations of total plasma free fatty acids, which are derived principally from adipose tissue, were not affected by rosiglitazone treatment. Although the total concentrations of phosphatidylcholine and cholesterol ester were lower in rosiglitazone-treated mice than in untreated mice, the absolute concentration of palmitoleic acid (16:1n7) within these lipid classes and within free fatty acids was higher in treated mice than in controls (Fig. 3). The increased palmitoleic acid concentrations in plasma were reflective of the increased de novo lipogenesis occurring within the liver and adipose tissue (see below).Fig. 3The effect of rosiglitazone treatment on individual lipid metabolites. The concentration (expressed in nmol/g sample) of each lipid metabolite from treated and untreated mice was used to generate a heat map. The column headers represent an individual fatty acid present in the lipid classes displayed on the left. The magnitude of the difference, expressed as a percentage change in the quantitative data between treated and untreated mice, is represented by color according to the legend. Differences not meeting a P < 0.05 are displayed in black.View Large Image Figure ViewerDownload (PPT)Liver lipid metabolismThe results of the quantitative assessment of the liver lipid metabolome in rosiglitazone-treated and untreated mice are shown in Table 5 of the Supplemental Data and in Figs. 2 and 3. Lipid metabolites in the liver demonstrated a reciprocal relation between liver and plasma lipid concentrations. The significant rosiglitazone-mediated decreases in plasma triacylglycerides were balanced by a substantial accumulation of triacylglycerides within the liver (Figs. 2, 3). Total hepatic triacylglycerides were 81,300 nmol/g in untreated mice and 150,400 nmol/g in the rosiglitazone-treated mice. The concentrations of other lipid classes were not affected by rosiglitazone treatment with the exception of sphingomyelin, which was present at 1,180 nmol/g in treated mice and at 1,890 nmol/g in untreated control mice (Fig. 2). This rosiglitazone-induced reciprocity between liver and plasma triacylglycerides is consistent with an inhibition of normal liver-plasma lipid exchange. No change was observed in the total concentration of phosphatidylcholine or cholesterol ester in liver as a consequence of rosiglitazone treatment (Fig. 2).Heart lipid class metabolismThe results of the quantitative assessment of the heart lipid metabolome in rosiglitazone-treated and untreated mice are shown in Table 6 of the Supplemental Data and in Figs. 2 and 3. Free fatty acids are the primary source of energy for the heart. The average concentration of total free fatty acid in the heart was 5,100 nmol/gm untreated mice and 2,500 nmol/g in rosiglitazone-treated mice (Fig. 2). This difference was largely independent of the type of free fatty acid, as the saturated n-3, n-6, and n-9 families of fatty acids were all approximately 50% lower in treated mice than in untreated mice (Fig. 2). The free n-7 fatty acids were not depleted as substantially from heart, likely due to the increased biosynthesis of n-7 fatty acids and corresponding increased concentration of n-7 fatty acids within the triacylglycerides and free fatty acids of plasma.The hearts of rosiglitazone-treated mice were significantly enriched with cardiolipin, the primary structural lipid of the inner mitochondrial membrane. The mean cardiolipin content of hearts from rosiglitazone-treated mice was 3,000 nmol/g as compared with 2,500 nmol/g in untreated mice. Unlike free fatty acids, the fatty acid components of cardiolipin were differentially modulated by rosiglitazone treatment. The primary fatty acid of cardiolipin, linoleic acid (18:2n6), was 4,550 nmol/g in control heart cardiolipin and 8,850 nmol/g in heart cardiolipin of rosiglitazone-treated mice. Docosahexaenoic acid (22:6n3) was depleted from cardiolipin in the hearts of treated mice (950 nmol/g) relative to hearts of control mice (2,200 nmol/g).The plasmalogen lipids, those lipids that contain 1-enyl-ether-linked alkyl chains, are derived from the dihydroxyacetone phosphate pathway and are partially synthesized within the peroxisome (9Nagan N. Zoeller R. Plasmalogens: biosynthesis and functions.Prog. Lipid Res. 2001; 40: 199-229Google Scholar). The concentration of plasmalogens was lower in the heart phospholipids of mice treated with rosiglitazone than of controls (Fig. 3). These data are consistent with a decreased peroxisomal synthesis of lipids within the hearts of treated mice.Adipose lipid class metabolismThe results of the quantitative assessment of the inguinal adipose lipid metabolome in rosiglitazone-treated and untreated mice are shown in Table 7 of the Supplemental Data and in Figs. 2 and 3. Inguinal fat tissue from rosiglitazone-treated mice displayed a 5.7% lower triacylglyceride content (9,628 μmol/g) than inguinal adipose from controls (1,019 μmol/g), and 35% more free fatty acids (13,370 nmol/g in treated mice and 9,900 nmol/g in controls). No significant differences in total phospholipid or cholesterol ester concentrations were observed (Fig. 2).The fatty acid composition of inguinal fat triacylglycerides was substantially altered by rosiglitazone treatment, with inguinal fat from treated mice accumulating fatty acids from the saturated, n-7, and n-3 families of fatty acids while being depleted of the n-9 family of fatty acids (Fig. 2). In particular, an unusual accumulation of n-3 fatty acids was observed in inguinal fat from rosiglitazone-treated animals. The concentration of total n-3 fatty acids in the inguinal fat triacylglycerides of treated mice was 71,260 nmol/g, representing a 120% greater concentration than that in untreated mice (Fig. 2). The most notable increases within the n-3 family of fatty acids were a 522% greater concentration (4,100 nmol/g) of eicosapentaenoic acid, a 612% greater concentration (7,000 nmol/g) of docosahexaenoic acid, and 84% (24,300 nmol/g) more α-linolenic acid in inguinal fat triacylglycerides in treated as compared with control mice (Fig. 3). The concentration of n-7 fatty acids in inguinal fat triacylglycerides was 303 μmol/g in treated mice and 204 μmol/g in untreated controls (Fig. 2). In contrast, the total concentration of n-6 fatty acids was less than 3% higher. However, the accumulation or depletion of individual fatty acids within the n-6 family varied substantially. Whereas linoleic acid (18:2n6), by far the most prominent n-6 fatty acid in inguinal fat, was not significantly altered by treatment, the concentrations of γ-linolenic, dihomo-γ-linolenic, and arachidonic acids in inguinal fat were respectively, 1,225 nmol/g (78%), 1,300 nmol/g (64%), and 3,800 nmol/g (276%) greater in treated mice than in untreated contr

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