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Paraoxonase-1 inhibits oxidized low-density lipoprotein-induced metabolic alterations and apoptosis in endothelial cells: a nondirected metabolomic study.

1. Introduction

Atherosclerosis, one of the major causes of morbidity and mortality in the Western world, involves complex interactions among endothelial cells of the arterial wall, blood cells, and circulating lipoproteins [1]. Oxidative stress, which is mainly derived from mitochondrial dysfunction, decreases nitrous oxide (NO) synthesis, upregulates the secretion of adhesion molecules and inflammatory cytokines, and is responsible for the oxidation of low-density lipoproteins (LDLs) [2,3]. These events play a key role in the pathogenesis of atherosclerosis [4, 5].

Paraoxonase-1 (PON1) is an enzyme found in the circulation associated with high-density lipoproteins (HDLs) [6, 7]. The original function attributed to PON1 was that of a lactonase, and lipophylic lactones constitute its primary substrates [8]. PON1 also degrades oxidized phospholipids and, as such, plays a role in an organism's antioxidant system [7]. In the atherosclerosis process, PON1 accumulates in the artery wall [9], and [PON1.sup.(-/-)] mice have been shown to have greater levels of oxidized LDL and larger atheromatous plaques when fed a proatherogenic diet [10]. PON1 also inhibits the production of the proinflammatory chemokine monocyte chemoattractant protein-1 (MCP-1), induced by oxidized LDL in endothelial cells [11].

Despite its potential clinical and biochemical relevance, there is a paucity of studies investigating the influence of PON1 on metabolic alterations when oxidized LDL is incubated with endothelial cells. We reasoned that metabolomics might be a useful tool to evaluate the effects of this enzyme. The study was complemented with an evaluation of oxidative stress and apoptosis in this cell line.

2. Materials and Methods

2.1. Experimental Design. We employed primary cultures of human umbilical vein endothelial cells (HUVECs), cultured according to the manufacturer's instructions (Invitrogen, Carlsbad, CA, USA). HUVECs were grown in medium 200 supplemented with low serum growth, 10 mg/L gentamicin and 0.25 mg/L amphotericin (all these reagents were from Invitrogen), and maintained in a humidified incubator at 37[degrees]C, with 5% C[O.sub.2]. Cells were subcultured when 80%-90% confluent. In all the experiments, cells were plated in 10 cm Petri dishes at a density of 2.5 x [10.sup.3] cells per dish, and at passage 3. Petri dishes at 70% confluence were incubated over 24 h with isolated human LDL (50 mg/L), oxidized LDL (50 mg/L), oxidized LDL (50 mg/L) + HDL (40 mg/L) from wild type mice, oxidized LDL (50 mg/L) + HDL (40 mg/L) from [PON1.sup.(-/-)] mice, or with serum-free media as controls. All incubations were performed in serum-free media.

Normal human sera were obtained from healthy individuals participating in a population-based study being conducted in our institution. The study was approved by the Ethics Committee (Institutional Review Board) of the Hospital Universitari Sant Joan de Reus. Sera were pooled and used for lipoprotein fractionation and LDL isolation by sequential preparative ultracentrifugation [12, 13]. Human oxidized LDL was prepared by incubation of native LDL with 5 [micro]M CuSO4, as described previously [11]. Increased thiobarbituric acid-reactive substances levels were detected in LDL after oxidation (45 versus <0.5 mmol/g protein).

Normal mice were from the C57BL/6J strain (Charles River Labs., Wilmington, MA, USA), and [PON1.sup.(-/-)] mice were the progeny of those provided by the Division of Cardiology of the University of California in Los Angeles and were of a C57BL/6J genetic background [10]. Animals were housed under standard conditions and given a commercial mouse diet (14% Protein Rodent Maintenance Diet, Harlan, Barcelona, Spain) in accordance with our institutional guidelines. At 16 weeks of age, they were sacrificed and approximately 30 mL of sera were pooled for HDL isolation [12,13].

2.2. Metabolomics Analyses. The metabolomics platform employed in the present study has been previously described in detail [14]. Briefly, small molecule metabolites from an equivalent amount of cell cytoplasm homogenates were extracted with methanol, and the resulting extract divided into equal fractions for analysis by ultrahigh performance liquid chromatography-tandem mass spectrometry (UPLCMS/MS; separately under positive mode and negative mode) and gas chromatography-mass spectrometry (GCMS). Metabolites were identified by comparing the ion data obtained to a reference library of ~2,800 chemical standard entries. Comparisons included retention times, mass (m/z), and MS or MS/MS spectra. Results of metabolomics measurements are expressed as the mean quotients between the areas under the peak of the different experimental conditions.

Differences between groups were assessed with Welch's f-test for group comparisons. Statistical analyses were performed with the program "R"

2.3. Caspase 9 Western Blot. We analyzed caspase 9 expression in endothelial cell homogenates as a marker of apoptosis pathways. The cytoplasmic homogenates were prepared with a Precellys 24 homogenizer (Bertin Technologies, Montignyle-Bretonneux, France) [15]. Denaturing electrophoresis was performed in polyacrylamide gels (4-12%) from Invitrogen (Carlsbad, CA, USA). Transfer was performed with the iBlot Gel Transfer Device (Invitrogen). Blotting was performed with the ECL Advanced Western Blotting Detection Kit (GE Healthcare, Fairfield, CT, USA) using a rabbit anticaspase 9 antibody at 1: 2000 dilution (Abcam, Cambridge, UK) [13].

2.4. Measurement of Apoptosis by Flow Cytometry. Cells (300 [micro]L of cell suspension at approximately [10.sup.9] cells/L) were stained with annexin V conjugated with fluorescein isothiocyanate in the presence of propidium iodide. This enables the detection of phosphatidylserine on the surface of apoptotic cells. We used the Annexin-FITC Kit (Beckman-Coulter, Fullerton, CA, USA) according to the manufacturer's instructions, in a Coulter Epics XL-MLC flow cytometer (Beckman-Coulter).

2.5. Measurement of PON1 Activities and Total Peroxide Concentrations. PON1 lactonase activity in the culture's supernatant was measured as the hydrolysis of 5-thiobutyl butyrolactone (TBBL), as described [16]. The assay reagent contained 1 mmol/L Ca[Cl.sub.2], 0.25 mmol/L TBBL, and 0.5 mmol/L 5.5. -dithio-bis-2-nitrobenzoic acid (DTNB) in 0.05mmol/L Tris-HCl buffer (pH = 8.0). The change in absorbance was monitored at 412 nm. Activities were expressed as U/L (1U = 1mmol of TBBL hydrolyzed per minute). The concentration of total peroxides in the supernatant was determined by a colorimetric enzymatic assay (Immundiagnostik, AG, Bensheim, Germany).

3. Results and Discussion

PON1 lactonase activity remained relatively low in supernatants of those cultures not containing added HDL. PON1 lactonase activity significantly increased in those cultures with normal HDL and returned to low levels in those cultures with HDL from [PON1.sup.(-/-)] mice. These results were as expected and provide a quality control of the HDL preparations obtained (Figure 1(a)). Total peroxide concentrations in the supernatants were maximal in the cultures with added oxidized LDL and showed a significant decrease following the addition of normal HDL. This decrease was not as marked following the addition of HDL from [PON1.sup.(-/-)] mice (Figure 1(b)).

We analyzed 124 biochemical compounds by nondirected metabolomics, corresponding to carbohydrate, lipid, amino acid, and nucleotide metabolism, as well as vitamins and xenobiotics. We obtained statistically significant variations in 37 metabolites (Table 1). The main findings corresponded to carbohydrate and phospholipid metabolism and are summarized in the following sections.

3.1. Hexose Metabolism. The addition of LDL to cultured endothelial cells decreased the levels of gluconate, galactose, and phosphorylated hexose intermediates. These molecules are important entrance intermediates in energyand biomass-generating pathways such as glycolysis, pentose phosphate, and protein glycosylation. Their decreases suggest that these pathways were activated to a greater extent in endothelial cells treated with LDL, compared to controltreated cells. In contrast, increased levels of gluconate, galactose, and phosphorylated hexose intermediates were seen in all cells that were treated with oxidized LDL, relative to LDL alone, and regardless of whether HDL was also added to the cultures (Figure 2).

3.2. Glycolysis and Tricarboxylic Acid (TCA) Cycle. Relative to control cultures, the addition of LDL resulted in increased levels of 3-phosphoglycerate and 2-phosphoglycerate (which are 3-carbon glycolytic intermediates). This same treatment also increased the levels of the TCA cycle intermediates (fumarate and malate) relative to control cultures. An interpretation of these data is that uptake of LDL by endothelial cells results in the generation of acetyl-CoA, which drives flux through the TCA cycle. Increased levels of LDL-generated acetyl-CoA may have relieved the need for carbohydratederived precursors, thereby inhibiting glycolytic flux into the TCA cycle and elevating the 3-carbon intermediates.

By comparison, treatment of endothelial cells with oxidized LDL may have induced levels of oxidative stress that were sufficient to impair normal energy pathways. For example, in cells treated with oxidized LDL, 6-carbon glycolytic intermediates accumulated, whereas the 3-carbon intermediates were reduced. This may be due to changes in glyceraldehyde-3-phosphate dehydrogenase (GADPH; levels or activity) in response to oxidized LDL, since superoxide overproduction inhibits GADPH through a mechanism that involves poly (ADP-ribose) polymerase (PARP) activation [16]. Likewise, TCA cycle intermediates were lower in oxidized LDL-treated cells due, most likely, to the attenuated conversion of 6-carbon glycolytic intermediates to 3-carbon compounds that feed into this cycle through pyruvate and acetyl-CoA. These changes suggest that energy production through glycolysis is impaired, since ATP generation occurs downstream of GADPH activity.

The addition of normal HDL to oxidized LDL-treated cells partially reverses its impact on energy metabolism pathways, since levels of the 3-carbon glycolytic intermediates as well as TCA cycle intermediates are more similar to levels observed after LDL treatment alone. It is of note that the impact of addition of HDL from [PON1.sup.(-/-)] mice on these molecules was intermediate between the effects produced by treatment with PON1-containing HDL and of no HDL (Figure 3). This observation is of considerable importance, because PARP activation and its consequent metabolic changes have been associated with endothelial dysfunction in diseases such as atherosclerosis and diabetes [17, 18]. Indeed, the levels of circulating endothelial cells are increased in patients with diabetes mellitus [19], and PON1 has been shown to attenuate diabetes development in mice [20, 21]. Our results suggest that the beneficial role of PON1 may involve, at least in part, a protection against the biochemical changes leading to endothelial dysfunction.

3.3. Phospholipid Metabolism. Levels of choline, ethanolamine, and glycerol-3-phosphate--key building blocks for phospholipids--were similar in endothelial cells following treatment with LDL, when compared to levels in control cells. By comparison, oxidized LDL reduced levels of phospholipid precursors and increased the levels of at least one phospholipid breakdown product. This could indicate that oxidized LDL induces membrane damage, breakdown, or remodeling. As was observed for the energy metabolism pathways, coadministration of normal HDL to oxidized LDL-treated cells reversed, or partially reversed, these deleterious effects. However, the addition of HDL from [PON1.sup.(-/-)] mice only generated subtle changes in phospholipid-related compounds, when compared to treatment with normal HDL (Figure 4).

3.4. Apoptosis. The observation of alterationsin phospholipids levels and the suggested membrane damage channeled us towards investigating the possibility of an increased apoptosis in endothelial cells incubated with oxidized LDL, and a possible protection by introducing HDL as coincubation. Hence, we analyzed caspase 9 protein expression. The activation of this enzyme is a good indicator of apoptosis induction, since caspase 9 plays a determinant role in apoptosome formation [22]. Also, we measured the numbers of apoptotic cells by flow cytometry. We observed that oxidized LDL addition increased caspase 9 expression and the percentage of apoptotic endothelial cells, when compared to control cells and cells treated with normal LDL. Coincubation with normal HDL completely preempted this effect. However, the influence of HDL from [PON1.sup.(-/-)] animals was much lower (Figures 5(a) and 5(b)). We observed a strong direct correlation (r = 0.91; P < 0.001) between total peroxides concentrations and the percentage of apoptotic cells (Figure 5(c)). Previous studies had shown that increased lipid peroxidation in HDL particles from coronary artery disease patients was associated with an impaired capacity of this particle to stimulate endothelial NO production [23]. Notably, PON1 has been reported to prevent lipid peroxidation in HDL particles and to promote HDL-mediated inactivation of oxidized lipids in LDL. Its activity was shown to be decreased inpatients with coronary disease [7]. Further, HDL and PON1 decreased the formation of malondialdehyde-like epitopes and the formation of apoptotic particles in monocytes [24]. A very recent study showed that HDL from healthy people induced the expression of endothelial antiapoptotic protein Bcl-xL and reduced endothelial cell apoptosis in vitro as well as in vivo in apoE-deficient mice. In contrast, HDL from coronary artery disease patients did not inhibit endothelial apoptosis, failed to activate endothelial Bcl-xL, and stimulated endothelial proapoptotic pathways [25]. Our findings of a decreased oxidized LDL-induced apoptosis by normal HDL, but not by HDL from [PON1.sup.(-/-)] mice, together with a significant association between lipid peroxidation (as measured by total peroxides concentrations) and the percentage of the apoptotic cells would tend to confirm this very recent information.

Our results suggest that PON1 may play a significant role in cell survival by improving mitochondrial function. Indeed, mitochondria regulate apoptosis in response to cellular stress signals and, hence, determine whether cells live or die. As such, it is probable that peroxides constitute important candidates in the regulation of cell death, and that mitochondria act as both sensor and effector sites [26]. This could explain the influence of apoptosis-related proteins on mitochondrial respiration. Whether or not this finding has any impact on the atherosclerosis process warrants further exploration.

4. Conclusion

Epidemiological studies have shown that the risk of atherosclerosis is inversely associated with HDL concentrations. The protective effect of this lipoprotein has been attributed, in part, to the antioxidant and anti-inflammatory action of PON1 [27]. We have showed, previously, that PON1 inhibits MCP-1 induction in endothelial cells [11], which suggested a protective role against liver inflammation mediated by MCP-1 [28]. More recent studies indicated that the anti-inflammatory effect of PON1 depends on its association with HDL [29], and that PON1 stimulates HDL antiatherogenicity [30], and macrophage response [31], and increases the duration over which HDL is able to prevent LDL oxidation [32].

The present study is novel in using a metabolomic approach to investigate the protective effect of PON1 on endothelial cells incubated with oxidized LDL. We observed important metabolic alterations in human endothelial cells incubated with oxidized LDL. These include an impaired glycolysis, TCA cycle, phospholipids, and activation of apoptotic pathways. These changes were ameliorated by incubation with normal HDL, while HDL isolated from [PON1.sup.(-/-)] mice showed an impaired efficiency to protect against the oxLDL-induced changes. These results extend the current knowledge on the protective role of HDL and PON1 against oxidation in endothelial cells.


DTNB:         5,5,-Dithio-bis-2-nitrobenzoic acid
GADPH:        Glyceraldehyde-3-phosphate
GC-MS:        Gas chromatography-mass
HDL:          High-density lipoproteins
HUVEC:        Human umbilical vein endothelial cells
LDL:          Low-density lipoproteins
PARP:         Poly (ADP-ribose) polymerase
PON1:         Paraoxonase-1
TBBL:         5-thiobutyl butyrolactone
UPLC-MS/MS:   Ultrahigh performance liquid
              chromatography-tandem mass

Conflict of Interests

The authors declare that they do not have conflict of interests.


This study was supported by grants from the Instituto de Salud Carlos III (PI 08/1381, 08/1032, and 11/2187), Madrid, Spain. The authors would like to thank Dr. Anna Cabre, Iolanda Lazaro, and Ingrid Marti from the Facultat de Medicina de Reus for their invaluable help with the cell culture experiments and the caspase 9 Western blot analyses. The TBBL reagent was a generous gift from Dr. Dan Tawfik of the Weizmann Institute of Science (Rehovot, Israel). Editorial assistance was by Dr. Peter R. Turner of


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Anabel Garcia-Heredia, (1) Judit Marsillach, (2) Anna Rull, (1) Iris Triguero, (1) Isabel Fort, (1,3) Bharti Mackness, (1) Michael Mackness, (1) Diana M. Shih, (4) Jorge Joven, (1) and Jordi Camps (1)

(1) Unitat de Recerca Biomedica, Hospital Universitari de Sant Joan, Institut d'lnvestigacio Sanitaria Pere Virgili, Universitat Rovira i Virgili, C. Sant Joan s/n, 43201 Reus, Catalonia, Spain

(2) Departments of Medicine (Division of Medical Genetics) and Genome Sciences, University of Washington, 372015th Avenue NE, Seattle, WA 98195-5065, USA

(3) Laboratori de Referenda Sud, Avenida Cambra de Comerg 42, 43204 Reus, Catalonia, Spain

(4) Division of Cardiology, University of California, 10833 Le Conte Avenue, Los Angeles, CA 90095-1679, USA

Correspondence should be addressed to Jordi Camps;

Received 21 February 2013; Accepted 26 April 2013

Academic Editor: Ronit Shiri-Sverdlov

TABLE 1: Heat map of metabolites showing statistically significant
differences between groups.

Pathway                     Metabolite                  L/C *  O/C *

Glycine, serine, and        Threonine                   1.40#  0.80
  threonine metabolism
Glutamate metabolism        N-acetylglutamate           1.14   0.84
Phenylalanine and           Phenylalanine               1.12   0.63#
  tyrosine metabolism
                            Tyrosine                    1.11   0.62
                            Isoleucine                  1.36   0.65
Valine, leucine, and        Leucine                     1.09   0.70#
  isoleucine metabolism
                            Valine                      1.26   0.72#
Urea cycle; arginine-,      Praline                     1.18   0.89
  proline-, metabolism
Gamma-glutamyl peptides     Gamma-glutamyl-leucine      0.73   0.87
Amino-sugar metabolism      Fucose                      0.72   0.76#
                            Galactose                   0.37   0.94
                            Mannose-6-phosphate         0.64   2.21
                            Glucose-6-phosphate         0.33   2.06
Fructose, mannose,          Fructose-6-phosphate        0.50   2.50#
  galactose, starch, and
  sucrose metabolism
                            2-phosphoglycerate          2.28#  0.67
                            3-phosphoglycerate          1.62   0.42#
                            1,3-dihydroxyacetone        0.85   0.98
                            Phosphoenolpyruvate         1.06   0.23
Nucleotide sugars,          Gluconate                   0.43   0.89
  pentose metabolism
TCA cycle                   Fumarate                    1.35   0.84
                            Malate                      1.31   0.89
Oxidative phosphorylation   Acetyl phosphate            1.00   1.12
                            Phosphate                   0.96   1.45
Medium chain fatty acid     Laurate (12: 0)             0.98   1.15
Fatty acid, dicarboxylate   Undecanedioate              1.28   1.52#
                            Ethanolamine                1.00   0.68
Glycerolipid metabolism     Choline                     1.07   0.84
                            Glycerol 3-phosphate        1.54   0.31
                            Glycerophosphorylcholine    0.60   1.17
Purine metabolism,          Adenosine 3'-monophosphate  2.38#  0.73
  adenine containing
Pyrimidine metabolism,      Uracil                      1.22   0.48
  uracil containing
                            Uridine 5'-monophosphate    0.50   1.19
Pantothenate and CoA        Pantothenate                0.98   0.87
Riboflavin metabolism       Riboflavin (Vitamin B2)     0.68   0.76
Benzoate metabolism         4-hydroxy catechol          1.23   1.37
Chemicals                   Glycolate (hydroxyacetate)  1.12   1.55#
                            Glycerol 2-phosphate        0.98   0.65

Pathway                     Metabolite                  O/L *  OH/O *

Glycine, serine, and        Threonine                   0.57   0.96
  threonine metabolism
Glutamate metabolism        N-acetylglutamate           0.73   1.10
Phenylalanine and           Phenylalanine               0.56   1.41a
  tyrosine metabolism
                            Tyrosine                    0.56   1.57#
                            Isoleucine                  0.48   1.57#
Valine, leucine, and        Leucine                     0.64   1.25
  isoleucine metabolism
                            Valine                      0.57   1.18
Urea cycle; arginine-,      Praline                     0.75   0.92
  proline-, metabolism
Gamma-glutamyl peptides     Gamma-glutamyl-leucine      1.19   1.09
Amino-sugar metabolism      Fucose                      1.05   1.25
                            Galactose                   2.58#  1.04
                            Mannose-6-phosphate         3.44a  1.01
                            Glucose-6-phosphate         6.20a  1.22
Fructose, mannose,          Fructose-6-phosphate        5.01a  1.13
  galactose, starch, and
  sucrose metabolism
                            2-phosphoglycerate          0.29   2.17a
                            3-phosphoglycerate          0.26   2.92a
                            1,3-dihydroxyacetone        1.15   0.80
                            Phosphoenolpyruvate         0.22   4.66a
Nucleotide sugars,          Gluconate                   2.07a  1.06
  pentose metabolism
TCA cycle                   Fumarate                    0.62   1.10
                            Malate                      0.68   1.21#
Oxidative phosphorylation   Acetyl phosphate            1.12   0.84
                            Phosphate                   1.52a  0.89
Medium chain fatty acid     Laurate (12: 0)             1.17#  0.92
Fatty acid, dicarboxylate   Undecanedioate              1.19   2.55
                            Ethanolamine                0.68   1.28
Glycerolipid metabolism     Choline                     0.78   1.29a
                            Glycerol 3-phosphate        0.20   4.13a
                            Glycerophosphorylcholine    1.97a  0.80
Purine metabolism,          Adenosine 3'-monophosphate  0.31   1.70a
  adenine containing
Pyrimidine metabolism,      Uracil                      0.40   1.94a
  uracil containing
                            Uridine 5'-monophosphate    2.38#  0.84
Pantothenate and CoA        Pantothenate                0.89   1.19a
Riboflavin metabolism       Riboflavin (Vitamin B2)     1.11   1.15
Benzoate metabolism         4-hydroxy catechol          1.11   0.79
Chemicals                   Glycolate (hydroxyacetate)  1.38#  0.47
                            Glycerol 2-phosphate        0.67   1.96

Pathway                     Metabolite                  KO/O *  KO/OH *

Glycine, serine, and        Threonine                   1.10    1.16
  threonine metabolism
Glutamate metabolism        N-acetylglutamate           0.92    0.83
Phenylalanine and           Phenylalanine               1.19#   0.84
  tyrosine metabolism
                            Tyrosine                    1.37    0.87
                            Isoleucine                  1.38#   0.88
Valine, leucine, and        Leucine                     1.07    0.85
  isoleucine metabolism
                            Valine                      1.08    0.91
Urea cycle; arginine-,      Praline                     0.97    1.05
  proline-, metabolism
Gamma-glutamyl peptides     Gamma-glutamyl-leucine      1.48    1.36
Amino-sugar metabolism      Fucose                      1.06    0.85
                            Galactose                   0.73    0.7
                            Mannose-6-phosphate         0.87    0.87
                            Glucose-6-phosphate         1.17    0.96
Fructose, mannose,          Fructose-6-phosphate        0.94    0.83
  galactose, starch, and
  sucrose metabolism
                            2-phosphoglycerate          1.05    0.48
                            3-phosphoglycerate          1.94a   0.67
                            1,3-dihydroxyacetone        0.60    0.75
                            Phosphoenolpyruvate         3.05#   0.66
Nucleotide sugars,          Gluconate                   0.86    0.81
  pentose metabolism
TCA cycle                   Fumarate                    1.12    1.02
                            Malate                      1.07    0.88
Oxidative phosphorylation   Acetyl phosphate            0.59    0.70
                            Phosphate                   0.70    0.78
Medium chain fatty acid     Laurate (12: 0)             0.74    0.81
Fatty acid, dicarboxylate   Undecanedioate              0.70    0.28
                            Ethanolamine                1.55a   1.21
Glycerolipid metabolism     Choline                     1.25    0.96
                            Glycerol 3-phosphate        2.87a   0.69
                            Glycerophosphorylcholine    0.78#   0.97
Purine metabolism,          Adenosine 3'-monophosphate  1.09    0.64
  adenine containing
Pyrimidine metabolism,      Uracil                      1.91a   0.99
  uracil containing
                            Uridine 5'-monophosphate    0.92    1.10
Pantothenate and CoA        Pantothenate                1.13    0.95
Riboflavin metabolism       Riboflavin (Vitamin B2)     1.11    0.97
Benzoate metabolism         4-hydroxy catechol          0.43    0.54
Chemicals                   Glycolate (hydroxyacetate)  0.77    1.64#
                            Glycerol 2-phosphate        1.11    0.57

Endothelial cells were incubated over 24 h with 50 mg-L isolated
human LDL (L); 50 mg-L oxidized LDL (O); 50 mg-L oxidized LDL + 40
mg-L HDL from wild type mice (OH); 50 mg-L oxidized LDL + 40 mg-L HDL
from [PON1.sup.(-/-)] mice (KO); or with serum-free media as controls
(C). Bold italic and italic cells in the Table indicate
P [less than or equal to] 0.05. Bold italic indicates that the mean
values are significantly higher; italic indicates significantly lower.
Bold text indicates 0.05 < P < 0.10.

* Results are expressed as the mean quotients of the areas under the
peak of the different experimental conditions. For example, galactose
values are, on average, 2.58 times higher when endothelial cells are
incubated with oxidized LDL than when incubated with native LDL. All
measurements were performed in triplicate.

Bold italic indicates # and italic indicates a cells in the Table
indicate P [less than or equal to] 0.05. Bold italic indicates that
the mean values are significantly higher; italic indicates
significantly lower. Bold text indicates 0.05 < P < 0.10.
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Title Annotation:Research Article
Author:Garcia-Heredia, Anabel; Marsillach, Judit; Rull, Anna; Triguero, Iris; Fort, Isabel; Mackness, Bhart
Publication:Mediators of Inflammation
Article Type:Report
Date:Jan 1, 2013
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