PNU-91325 increases fatty acid synthesis from glucose and mitochondrial long chain fatty acid degradation: a comparative tracer-based metabolomics study with rosiglitazone and pioglitazone in HepG2 cells
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- Harrigan, G.G., Colca, J., Szalma, S. et al. Metabolomics (2006) 2: 21. doi:10.1007/s11306-006-0015-5
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The mitochondrial membrane protein termed “mitoNEET,” is a putative secondary target for insulin-sensitizing thiazolidinedione (TZD) compounds but its role in regulating metabolic flux is not known. PNU-91325 is a thiazolidinedione derivative which exhibits high binding affinity to mitoNEET and lowers cholesterol, fatty acid and blood glucose levels in animal models. In this study we report the stable isotope-based dynamic metabolic profiles (SIDMAP) of rosiglitazone, pioglitazone and PNU-91325 in a dose-matching, dose-escalating study. One and 10 μM concentrations 1 and 10 μM drug concentrations were introduced into HepG2 cells in the presence of either [1,2−13C2]-D-glucose or [U−13C18]stearate, GC/MS used to determine positional tracer incorporation (mass isotopomer analysis) into multiple metabolites produced by the Krebs and pentose cycles, de novo fatty acid synthesis, long chain fatty acid oxidation, chain shortening and elongation. Rosiglitazone and pioglitazone (10 μM) increased pentose synthesis from [U−13C18]stearate by 127% and 185%, respectively, while PNU-91325 rather increased glutamate synthesis in the Krebs cycle by 113% as compared to control vehicle treated cells. PNU-91325 also increased stearate chain shortening into palmitate by 59%. Glucose tracer-derived de novo palmitate and stearate synthesis were increased by 1 and 10 μM rosiglitazone by 41% and 83%, respectively, and by 63% and 75% by PNU-91325. Stearate uptake was also increased by 10 μM PNU-91325 by 15.8%. We conclude that the entry of acetyl Co-A derived from long-chain fatty acid β-oxidation into the mitochondria is facilitated by the mitoNEET ligand PNU-91325, which increases glucose-derived long chain fatty acid synthesis and breakdown via β-oxidation and anaplerosis in the mitochondria.
KEY WORDSPNU-91325 mitoNEET stable isotope-based dynamic metabolic profiling (SIDMAP) fatty acid oxidation glucose metabolism diabetes
Materials and methods
Two non-radiating stable isotope tracer carbon labeled substrates were used in this metabolic flux analysis study: (a) [1,2−13C2]-D-glucose was purchased with >99% purity and 99% isotope enrichment for each position from Cambridge Isotope Laboratories, Inc. (Andover, MA, USA); and (b) [U−13C18]-stearic acid (Spectra Stable Isotopes, Spectra Gases Inc., Branchburg, NJ). Rosiglitazone (3), pioglitazone (1) and PNU-91325 (2) were provided by Pfizer, Inc., under a material transfer agreement.
Cells and cell culture
Human liver hepatocellular (epithelial) carcinoma HepG2 cells (ATCC CRL11997) were purchased from American Type Culture Collection (ATCC, Manassas, VA, USA). HepG2 cells have an average doubling time of 34 h in DMEM with 10% fetal bovine serum and 2.5% horse serum (Gibco/BRL, Gaitersburg, MD) in the presence of antibiotics. The cells were incubated at 37 °C, 5% CO2 and 95% humidity and passed by using trypsin 0.25% (Gibco/BRL) no more than three times after receipt from the ATCC and prior to use in this study. HepG2 cells have previously been used in both in vitro and in vivo experiments and responded to treatment with troglitazone and other compounds with characteristic metabolic profile changes showing altered macromolecule synthesis and fatty acid cycling (Lee et al., 1998a). Tracer-labeled parallel cultures of HepG2 cells were used in this study as controls to compare vehicle (DMSO) treated cell cultures to rosiglitazone (3), pioglitazone (1) and PNU-91325 (2) treatment in an escalating regime of drug treatment.
Seventy-five percent confluent cultures of HepG2 cells were incubated in either [1,2−13C2]-D-glucose or [U−13C18]stearate-containing media (100 mg/dl total glucose concentration=5 mM; 50% isotope enrichment; or 0.5 mM uniformly labeled stearate). Cells were plated at a density of 106 per T75 culture flask and rosiglitazone (3), pioglitazone (1) and PNU-91325 (2) were added in two concentrations, 1 or 10 μM dissolved in 10% DMSO – 90% culture media. Control cultures were treated with vehicle (10% DMSO) only. The doses of rosiglitazone (3), pioglitazone (1) and PNU-91325 (2) for the present study were selected based on in vitro experiments demonstrating that these drugs effectively control glucose levels via PPARγ activation in various human cell culture systems in the 1 to a 10 μM dose range (for review: Otto et al., 2002). Drug treatments were carried out for 72 h in the presence of each tracer. Glucose and U-stearate 13C tracer levels in the medium were monitored using a Cobas Mira chemistry analyzer (Roche Diagnostics, Pleasanton, CA, USA). Fresh, tracer enriched culture medium and drug treatments were applied every 24 h, three times during the experiment, in order to provide for the cells with steady tracer-enriched medium and drug doses throughout the 72 h experimental period. After 72 h the cells were scraped, spun and frozen at −80°C until further processing as described below.
RNA ribose stable isotope studies
For mass isotopomer analysis RNA ribose was isolated by acid hydrolysis of cellular RNA after Trizol (Invitrogen Life Technologies, Carlsbad, CA, USA) extraction from the cell pellets. Ribose was derivatized to its aldonitrile acetate form using hydroxylamine in pyridine with acetic anhydride (Supelco, Bellefonte, PA, USA) before mass spectral analyses. We monitored the ion cluster around the m/z256 (carbons 1–5 of ribose) (chemical ionization, CI) and m/z217 (carbons 3–5 of ribose) and m/z242 (carbons 1–4 of ribose) (electron impact ionization, EI) to determine molar enrichment and the positional distribution of 13C in ribose. By convention, the base mass of 12C compounds (with their derivatization agents) is given as m0 as measured by mass spectrometry as described elsewhere (Katz et al., 1993). Ribose molecules labeled with a single 13C atom on the first carbon position (m1) recovered from RNA were used to gauge the ribose fraction produced by direct oxidation of glucose through the G6PD pathway. Ribose molecules labeled with 13C on the first two carbon positions (m2) were used to measure the fraction produced by transketolase. Doubly labeled ribose molecules (m2 and m4) on the fourth and fifth carbon positions were used to measure molar fraction produced by triose phosphate isomerase and transketolase (Boros et al., 2002). Because transketolase has the highest metabolic control coefficient in the non-oxidative branch of the pentose cycle (Sabate et al., 1995), we use the term transketolase throughout the paper. It should be noted, though, that transketolase and transaldolase, besides other enzymes, all are participants in non-oxidative pentose cycle metabolism in human cells.
Lactate from the cell culture media (0.2 ml) was extracted by ethylene chloride after acidification with HCl. Lactate was derivatized to its propylamine-heptafluorobutyrate ester form and the m/z328 (carbons 1–3 of lactate) (chemical ionization, CI) was monitored for the detection of m1 (recycled lactate through the PC) and m2 (lactate produced by the Embden–Meyerhof–Parnas pathway) for the estimation of pentose cycle activity (Lee et al., 1998b). In this study we recorded the m1/m2 ratios in lactate produced and released by HepG2 cells in order to determine pentose cycle activity and pentose cycling versus anaerobic glycolysis in response to 1 and 10 μM rosiglitazone (3), pioglitazone (1) and PNU-91325 (2) treatments.
13C label distribution in glutamate (glutamic acid), which is synthesized from α-keto-glutaric acid of the TCA cycle, from tracer labeled glucose or stearate is suitable for determining mitochondrial glucose and fatty acid disposal via anabolic substrate use within the cycle, also known as anaplerotic flux. For glutamate extraction tissue culture medium (1 ml) was first treated with 1 ml of 6% perchloric acid and the supernatant was passed through a 3 cm3 Dowex-50 (H+) column. Amino acids were eluted with 15 ml 2 N ammonium hydroxide. In order to separate glutamate from glutamine, the amino acid mixture was passed through a 3 cm3 Dowex-1 (acetate) column, and then collected with 15 ml 0.5 N acetic acid. The glutamate fraction from the culture medium was converted to its trifluoroacetyl butyl ester (TAB) (Leimer et al., 1977). Under EI conditions, ionization of TAB-glutamate produces two fragments, m/z198 and m/z152, corresponding to C2–C5 and C2–C4 of glutamate. Glutamate labeled on the 4–5 carbon positions indicates pyruvate dehydrogenase activity while glutamate labeled on the 2–3 carbon positions indicates pyruvate carboxylase activity for the entry of glucose carbons to the TCA cycle. TCA cycle anabolic glucose utilization is calculated based on the m1/m2 ratios of glutamate (Lee et al., 1996).
Lipid extraction and analysis
Lipid extractions were performed using methods described elsewhere (Lowenstein et al., 1975). In brief, the Trizol extract (bottom layer) of cell pellets after RNA extraction were saponified with 500 μl of 30% KOH–ethanol (1:1 v/v) at 70 °C overnight. The aqueous phase was acidified, and fatty acids were extracted in petroleum ether and dried under a stream of nitrogen. Fatty acids were methylated with 0.5 ml 0.5 N HCl in methanol for GC/MS analysis. Palmitate, stearate and oleate were monitored at m/z270, m/z298 and m/z264, respectively, with the enrichment of 13C labeled acetyl units either from tracer labeled glucose or stearate, which reflect synthesis, elongation and desaturation of the new lipid fraction as determined by mass isotopomer distribution analysis (MIDA) of different isotopomers (Lee et al., 1991). Mass isotopomer distribution was determined using the method of Lee et al., which corrects for the contribution of derivatizing agent and 13C natural abundance to the mass isotopomer distribution of the compound of interest. The calculated mass isotopomer distribution is expressed as molar fractions (m0, m1, m2, m3, etc.), which are the fractions of molecules containing 0, 1, 2, 3,... 13C substitutions, respectively. Data reduction and regression analyses were performed using the computer software Microsoft Excel® version 5.0.
Determination of precursor enrichment
β-oxidation of [U−13C18]stearate generates [1,2−13C2]acetyl-CoA, which is subsequently used as a precursor for de novo lipogenesis, chain elongation, energy production and anaplerosis via the tricarboxylic acid cycle. Thus, β-oxidation can be assessed through the determination of [1,2−13C2]acetyl-CoA enrichment in the different synthetic products.
Acetyl-CoA enrichment for de novo synthesis from glucose
The enrichment of the cytosolic acetyl-CoA pool used in de novo fatty acid synthesis was determined from the mass isotopomer distribution in palmitate and stearate using the [1,2−13C2]-D-glucose as the tracer. De novo synthesis produces these long chain saturated fatty acids with 2, 4, or 6 13C atoms (m2, m4, and m6). The distribution of these mass isotopomers has been previously shown to be a binomial distribution (Hellerstein, 1991; Lee et al., 1992). Thus, the acetyl-CoA enrichment may be obtained from the consecutive mass isotopomer ratio m4/m2=(n−1)p/q=3.5p/q, where n is the number of acetyl units in palmitate=8, p is the enrichment of [1,2−13C2]acetyl-CoA, q is the unenriched acetyl-CoA, and p+q=1.
Acetyl-CoA enrichment from mitochondrial oxidation
[1,2−13C2]acetyl-CoA produced either from [1,2−13C2]-D-glucose or [U−13C18]stearate from β-oxidation combines with oxaloacetic acid and forms citric acid in the mitochondria. Citrate participates in the tricarboxylic acid cycle, eventually forming [α-4,5−13C2]ketoglutarate and glutamate (Haber and Lapidot, 2001). The enrichment of the m2 component of the C2–C5 fragment generally reflects tricarboxylic acid cycle activity. However, it is well known that contribution from unlabeled glutamate from the cells in culture with glutamine-containing medium can substantially dilute the glutamate enrichment (Darmaun et al., 1988). Therefore, the enrichment of the [4,5−13C2]glutamate reflects the lower limit of mitochondrial acetyl-CoA cycling and anaplerosis.
Acetyl-CoA enrichment for chain elongation
Enzymes involved in chain elongation from [U−13C18]stearate to longer chain fatty acids are located in the endoplasmic reticulum, mitochondria, and peroxisomes (Vance and Vance, 2002). Chain elongation of uniformly labeled stearate with [1,2−13C2]acetyl-CoA produces characteristic m+18 clusters that can be used to determine the acetyl-CoA enrichment according to the rules of combination of two labeled precursors. The ratio of m+2 to m+0 acetyl-CoA for chain elongation is given by the ratio of m+20 to m+18 in arachidate using the [U−13C18]stearate tracer. The enrichment of [1,2−13C2]acetyl-CoA for each step of chain elongation was determined using the method described elsewhere using HepG2 cells as the in vitro model of fatty acid metabolism in the presence of [U−13C18]stearate (Wong et al., 2004).
Gas chromatography/mass spectrometry (GC/MS)
Mass spectral data were obtained on the HP5973 mass selective detector connected to an HP6890 gas chromatograph. The settings were as follows: GC inlet 250 °C, transfer line 280 °C, MS source 230 °C, MS Quad 150 °C. An HP-5 capillary column (30 m length, 250 μm diameter, 0.25 μm film thickness) was used for glucose, ribose, deoxyribose, glutamate and lactate analyses. Alternatively, a Bpx70 column (25 m length, 220 μm diameter, 0.25 μm film thickness, SGE Incorporated, Austin, TX) was used for fatty acid analysis with specific temperature programming for myristate (C:14), palmitate (C:16), stearate (C:18), oleate (C:18–1), as well as C:20, C:22 and C:24 fatty acid analyses.
Data analysis and statistical methods
Each experiment was carried out using triplicate cell cultures for each condition within each experiment and experiments were repeated once. Mass spectroscopic analyses were carried out by three independent automatic injections of 1 μl samples by the automatic sampler and accepted only if the standard sample deviation was less than 1% of the normalized peak intensity. Statistical analysis was performed using the Student’s t-test for unpaired samples. Two-tailed significance at the 99% confidence interval (μ±2.58 σ), p<0.01 indicated significant differences in glucose carbon metabolism in control and rosiglitazone (3), pioglitazone (1) and PNU-91325 (2) treated HepG2 cells. SIDMAParrayTM was produced by MeTa Informatics (San Diego, CA).
In this study the stable isotope-based metabolic profiles of rosiglitazone (3), pioglitazone (1) and PNU-91325 (2) treated HepG2 cells are presented using two tracers, [1,2−13C2]-D-glucose and [U−13C18]stearic acid in separate experiments. The metabolic profiles reported in the SIDMAParrays present tracer carbon flow changes in all major metabolic pathways, which include glycolysis, the pentose and TCA cycles, de novo fatty acid synthesis, chain elongation, chain shortening and desaturation, in a color scheme similar to gene expression studies.
There were more characteristic and obvious differences in how rosiglitazone (3), pioglitazone (1) and PNU-91325 (2) affected uniformly labeled stearate synthesis as figure 1.
The main difference in stearate utilization among the drugs is that 1 and 10 μM rosiglitazone (3) and pioglitazone (1) induced a dose dependent increase in pentose cycle ribose 13C enrichment by 101%, 127% and 250%, 285% (box 1), while 1 and 10 μM PNU-91325 rather increased mitochondrial TCA cycle glutamate synthesis from stearate by 25% and 113% (box 2), respectively. Glutamate 13C enrichment from stearate was only increased using 10 μM rosiglitazone (3) or pioglitazone (1) by 22% and 21%, respectively. It appeared that the primary route by which stearate 13C tracer carbons entered the TCA cycle is via citrate synthesis, as 10 μM pioglitazone (2) and PNU-91325 (1) induced a 12% and 34% increase in glutamate synthesis via citrate (box 3). De novo palmitate synthesis from stearate-derived [13C2]acetyl-CoA was increased by 102%, while stearate chain shortening into palmitate was also increased by 59% using 10 μM PNU-91325 (box 4). Stearate uptake and chain elongation into arachidonic acid was also increased by 10 μM PNU-91325 by 16% and 8%, respectively (box 6).
Interestingly, the 13C labeled fraction of deoxyribose (DOR) of DNA from stearate was decreased by 20% and 37% and total 13C enrichment of DOR was also strongly inhibited by 24% and 45% using 1 and 10 μM PNU-91325 (box 6). On the other hand, there was no significant inhibition of deoxyribose synthesis from stearate by rosiglitazone (3) or pioglitazone (1) in the 72 h study period. There was about 10% increase in lactate 13C enrichment from stearate using 1 μM rosiglitazone (3) only, indicating that stearate derived acetyl-CoA disposal via lactate is not a significant route imposed by either drug.
Metabolic profiling represents a logical development in the application of genomics, transcriptomics and proteomics in drug discovery and development. This study highlighted the relevance and robustness of stable isotope tracer-based dynamic metabolic profiles when applied to drugs discovered through reverse pharmacology (Harrigan et al., 2005). This study makes used of continued development of new approaches to generate and interrogate metabolome data sets. Here we have evaluated three thiazolidinediones that exhibit overall similar insulin sensitizing pharmacology in vivo but vary substantially in their ability to activate the transcription factor PPARγ. This study determined glucose and stearate flow redistribution among major metabolic pathways involving glycolysis, the pentose and TCA cycles, de novo fatty acid synthesis and degradation in response these three thiazolodinediones in living HepG2 primary liver tumor cells. The compounds tested in this study include two drugs marketed for the treatment of diabetes and a third analog that has potent insulin sensitizing activity without activating PPARγ-regulated gene transcription (Colca, 2006). Gene transcription analysis from earlier studies suggests that changes the expression of mitochondrial proteins might be a key factor in the insulin sensitizing pharmacology. Our findings using glucose as a metabolic tracer are that rosiglitazone (3), pioglitazone (1) and PNU-91325 (2) increase de novo synthesis of various fatty acids from glucose, and that PNU-91325 (2) surpasses the effect of both marketed drugs. Using stearate as a metabolic tracer it is obvious that rosiglitazone (3) and pioglitazone (1) primarily induce fatty acid breakdown by increasing glyconeogenesis and RNA pentose synthesis, while PNU-91325 (2) forces stearate-derived acetyl units into the mitochondria via citrate synthesis in a dose dependent manner.
The main implication of our SIDMAP study is that predominantly PPARγ and predominantly mitochondrially acting (mitoNEET ligand) compounds direct long chain fatty acid catabolism into different routes. PNU-91325 (2) is very effective in promoting mitochondrial stearate β-oxidation, while concomitantly increasing stearic acid uptake, chain shortening into palmitate and chain elongation into arachidonate. On the other hand, rosiglitazone (3) and pioglitazone (1) primarily increase pentose sugar synthesis from stearate, which indicates peroxisomal fatty acid metabolism and the production of acyl-CoA, which may enter the mitochondria and produce glutamate, but only at the high 10.0 μM dose in this dose matching study with PNU-91325. The potency of PNU-91325 (2) in increasing mitochondrial beta-oxidation of stearate and its disposal via glutamate is about 10 times higher than that of rosiglitazone (3) and pioglitazone (1). In previous in vivo experiments high resolution 2-D gel electrophoresis of livers showed that rosiglitazone (3) primarily produced changes in the expression pattern of many proteins involved in peroxisomal fatty acid β-oxidation (Edvardsson et al., 1999). Although rosiglitazone (3) and PNU-91325 (2) tend to increase the expression of many mitochondrial proteins and produce changes that favor fatty acid oxidation, PNU-91325 (2) does not significantly increase PPARγ-driven transcription either in vitro or in vivo (Colca, 2006). The most likely explanation for the effects of these compounds on gene expression and on the metabolic fluxes observed in these studies is that the overall effect of a given analog represents a blend of direct mitochondrial actions (e.g., binding to mitoNEET) and effects on other sites of binding (e.g., PPARγ).
It has been demonstrated that both PPARγ ligands investigated in this study, pioglitazone (1) and rosiglitazone (3) effectively decreased liver cancer formation using a diethylnitrosamine-induced liver cancer in Wistar rats (Guo et al., 2004) and colon carcinogenesis induced by azoxymethane in mice (Osawa et al., 2003). In our substrate flow tracer study, while rosiglitazone (3) and pioglitazone (1) increased RNA pentose synthesis from stearate, there was a decrease in tracer accumulation into DNA deoxyribose during the 72 h treatment period using these TZDs. On the other hand, DNA deoxyribose synthesis was strongly suppressed by PNU-91325 (2) treatment from stearate. The glucose tracer study indicated unaltered rate of RNA and DNA ribose synthesis, which confirms the chemo-preventive effect of TZD based on direct substrate flow measurements via all arms of the pentose cycle.
We acknowledge two potential limitations of this study. First, because we studied primary hepatoma cells, it is not known how the studied compounds affect normal liver cell function and other tissue cells in a complex host. It is important to note that HepG2 cells grow rapidly in culture and they have higher specialized requirements for energy and macromolecule synthesis than primary cells. Conditions to test primary liver cells are under development. Metabolic labeling studies with primary cells are complicated by the fact that freshly isolated hepatocytes survive for 24 h providing limited time to produce a comprehensive SIDMAParray using either glucose or fatty acid tracers. In any case, HepG2 cells have maintained biotransformation properties of drugs and they also posses and express metabolic enzymes in a comparable manner with primary cultures of hepatocytes (Wilkening et al., 2003), while providing a highly viable and stable cell line for continuous tracer based metabolomics studies.
Second, it is currently not known what primary acyl-CoA species are produced from the tracer stearate substrate in response to the PPARγ agonist rosiglitazone (3) and pioglitazone (1) treatments. Based on assessing heavy incorporation of tracer carbons of stearate into the five carbon metabolite pool of ribose with no measurable tracer accumulation in lactate or palmitate it is likely that short chain fatty acids (C:4–C:6) are heavily produced and shuttled into the cytosol of HepG2 cells from the peroxisomes. As the use of C18–C20 chain elongation and other mass isotopomer analysis is the first quantitative method to determine peroxisomal acetyl-CoA enrichment (and therefore peroxisomal β-oxidation) (Wong et al., 2004), we will be able to identify those acyl-CoA pools in subsequent SIDMAP studies. Such studies should make use of the tracer method for both peroxisomal oxidation and very long chain fatty acid synthesis in HepG2 cell cultures together with animal experiments.
Based on our current findings, PNU-91325 (2) is a more potent inducer of mitochondrial fatty acid β-oxidation and TCA cycle anaplerosis than are the existing compounds to treat hyperlipidemic conditions in type 2 diabetes with desirable anti-proliferative effects and limited DNA deoxyribose synthesis in liver cells.
In order to reveal organ and tissue specific metabolic changes involving liver, muscle, adipose and other various cells, a tracer study in vivo is warranted using glucose and stearate tracer enriched diets in a wild type and diabetic host in order to better understand the effect of a primarily mitochondrially acting TZD (via mitoNEET?) plays in the regulation of long chain fatty acid breakdown and metabolism as compared to the currently marketed TZDs that are more potent PPARγ activators.
Finally, it is evident that many reported effects of TZDs are clearly independent of PPARs. A most recent example is the demonstration that TZD inhibition of iNOS expression does not require PPAR involvement (Crosby et al., 2005). We suggest that many reported effects of TZD actions as being primarily mediated through PPAR should be interpreted with caution and that further investigation of the many secondary pharmacological effects associated with TZDs could contribute to the development of new therapeutic approaches to diabetes.