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ToxSci Advance Access originally published online on June 2, 2006
Toxicological Sciences 2006 93(1):213-222; doi:10.1093/toxsci/kfl030
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© The Author 2006. Published by Oxford University Press on behalf of the Society of Toxicology. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Phenotypic Anchoring of Acetaminophen-Induced Oxidative Stress with Gene Expression Profiles in Rat Liver

Christine L. Powell*,{dagger}, Oksana Kosyk{dagger}, Pamela K. Ross{dagger}, Robert Schoonhoven{dagger}, Gunnar Boysen{dagger}, James A. Swenberg*,{dagger}, Alexandra N. Heinloth{ddagger}, Gary A. Boorman§, Michael L. Cunningham*, Richard S. Paules{ddagger} and Ivan Rusyn*,{dagger},1

* Curriculum in Toxicology and {dagger} Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599; and {ddagger} National Center for Toxicogenomics, § Environmental Toxicology Program, and Laboratory of Pharmacology and Chemistry, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina 27709

1 To whom correspondence should be addressed at CB#7431, Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7431. Fax: (919) 843-2596. E-mail: iir{at}unc.edu.

Received February 1, 2006; accepted May 25, 2006


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Toxicogenomics provides the ability to examine in greater detail the underlying molecular events that precede and accompany toxicity, thus allowing prediction of adverse events at much earlier times compared to classical toxicological end points. Acetaminophen (APAP) is a pharmaceutical that has similar metabolic and toxic responses in rodents and humans. Recent gene expression profiling studies with APAP found an oxidative stress signature at a subtoxic dose that we hypothesized can be phenotypically anchored to conventional biomarkers of oxidative stress. Liver tissue was obtained from experimental animals used to generate microarray data, where male rats were given APAP at subtoxic (150 mg/kg) or overtly toxic (1500 and 2000 mg/kg) doses and sacrificed at 6, 24, or 48 h. Oxidative stress in liver was evaluated by a diverse panel of markers that included assessing expression of base excision repair (BER) genes, quantifying oxidative lesions in genomic DNA, and evaluating protein and lipid oxidation. A subtoxic dose of APAP produced significant accumulation of nitrotyrosine protein adducts. Both subtoxic and toxic doses caused a significant increase in 8-hydroxy-deoxyguanosine (8-OH-dG) as well as a significant decrease in glutathione (GSH) content. Only toxic doses of APAP significantly induced expression levels of BER genes. None of the doses examined resulted in a significant increase in the number of abasic sites or in the amount of lipid peroxidation. The accumulation of nitrotyrosine and 8-OH-dG adducts along with reduced GSH content in the liver phenotypically anchors the oxidative stress gene expression signature observed with a subtoxic dose of APAP, lending support to the validity of gene expression studies as a sensitive and biologically meaningful end point in toxicology.

Key Words: toxicogenomics; acetaminophen; nitrotyrosine; 8-hydroxy-deoxyguanosine; oxidative stress; lipid peroxidation.


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Toxicogenomics is an area in toxicology that elucidates how the entire genome is involved in biological responses of organisms exposed to environmental toxicants. Expectations for this new field have been high with promises of obtaining in much greater detail the molecular events that precede and accompany toxicity, thus allowing prediction of a toxic insult at much earlier stages than classical measures. Initial studies have been encouraging with gene-specific signatures that predict and classify unknown hepatotoxicants based on a preliminary training set of chemicals (Hamadeh et al., 2002Go). This work has led to the hypothesis that it is possible to define signature patterns of altered gene expression that indicate specific adverse effects of chemicals, drugs, or environmental exposures.

In order for gene expression profiling to become a well-recognized and valuable tool in toxicology, it should be characterized for its ability to reflect the results derived from classical toxicology assays (e.g., histopathology and clinical chemistry) in a dose- and time-dependent manner (Paules, 2003Go). Such phenotypic anchoring removes subjectivity from interpretation of expression data by distinguishing between the toxicological effect signals from other gene expression changes that may be unrelated to toxicity, such as the therapeutic effects of a compound. Unfortunately, much of the available toxicogenomic data that have been published to date, with few exceptions, have been limited to a description of alterations in gene expression patterns.

Toxicology studies, in themselves, are quite complex with sources of variability resulting from the dose and delivery of the chemical under study, the choice of animal species, and the differences in biological and pathological responses of various tissues (Boorman et al., 2002Go). The combination of this with the known technical variability in genomic studies (Bammler et al., 2005Go) underscores the importance of careful validation of alterations in gene expression patterns. In most cases, expression data can be phenotypically anchored using classical toxicological methods; however, the apparent lack of sensitivity for most toxicity assays will make this difficult for altered expression patterns observed at subtoxic doses. Thus, corroboration of such expression data sets will require the use of more sensitive, complex assays.

The results of gene expression profiling studies can serve as a guide in the search for specific genes and/or proteins that could be used as biomarkers of incipient toxicity or can predict the pathological changes that are yet to be realized by morphological analysis. Recently, a proof of concept study was conducted whereby rats, the preferred model organism in toxicity testing, were administered the hepatotoxicant acetaminophen (APAP), and gene expression profiling was performed (Heinloth et al., 2004Go). It was demonstrated that alterations in expression patterns at a low, subtoxic dose (i.e., no apparent toxicity was detected by histopathology or clinical chemistry) may reveal signs of subtle cellular injury that are exacerbated at higher doses. Specifically, it was found that altered gene expression patterns were suggestive of mitochondrial dysfunction and oxidative stress, and with increasing dose there was concomitant increase in the magnitude of response and number of genes represented within the same vital cellular pathways. However, the specificity of these gene expression changes to the mechanism of APAP hepatotoxicity cannot be discerned without further research. Here, we have undertaken a study to substantiate these findings of a gene expression signature for oxidative stress by a subtoxic dose of APAP in rat liver using a panel of sensitive biomarkers of oxidative stress and oxidative DNA damage. The results of our studies show that a reduction in glutathione (GSH) content in the liver, alongside with the accumulation of nitrotyrosine protein adducts and 8-hydroxy-deoxyguanosine (8-OH-dG) lesions in DNA, events known to be a part of the mode of action of APAP, provides good and early phenotypic anchors for gene expression signature of APAP-induced oxidative stress, even at a subtoxic dose.


    MATERIALS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Animals and treatments.
The studies detailed herein were performed using liver tissues (stored at – 80°C) from a previously published report (Heinloth et al., 2004Go), where male Fisher 344 rats were administered a single acute dose of APAP by gavage at subtoxic (150 mg/kg) or overtly toxic (1500 and 2000 mg/kg) doses in 0.5% aqueous methyl cellulose. Animals were sacrificed 6, 24, or 48 h following dosing, at which point frozen and formalin-fixed liver samples were collected.

Determination of liver tissue GSH levels.
Approximately 50 mg frozen liver tissue was homogenized in 5% sulfosalicyclic acid, centrifuged at 8000 x g for 10 min, and the supernatant assayed for reduced glutathione (rGSH) content following manufacturer's protocol (BioVision, Mountain View, CA).

Immunohistochemistry.
Formalin-fixed, paraffin-embedded sections (6 µm) were mounted on glass slides. Sections were deparaffinized in xylene, rehydrated in a series of graded alcohol concentrations, and placed in phosphate-buffered saline (PBS) with 1% Tween 20. Immunostaining was performed using DAKO EnVision System HRP (Dako Cytomation, Carpinteria, CA) with primary antibody (1:200 nitrotyrosine [Molecular Probes, Eugene, OR), 1:200 malondialdehyde [MDA; Alpha Diagnostic, San Antonio, TX], and 1:200 8-hydroxyguanosine [Research Diagnostics, Flanders, NJ]) diluted in PBS containing 1% bovine serum albumin and incubated overnight at 4°C. Slides were counterstained with hematoxylin. In order to ensure the quantitative measurement of each immunoreaction, all sections from each animal and group to be compared were processed in parallel. Antibody specificity was determined by incubating each antibody with its respective antigen before immunostaining. Quantitative analysis of immunostained liver sections was performed using BIOQUANT software (BIOQUANT Image Analysis, Nashville, TN) by averaging percent area stained to total area within pericentral regions at x200 with exception for 8-OH-dG, where percentage of positively stained nuclei to total nuclei in pericentral regions was determined.

Isolation of DNA.
DNA was extracted by a procedure slightly modified from the method reported previously (Nakamura et al., 2000Go). To minimize formation of oxidative artifacts during isolation, 2,2,6,6-tetramethylpiperidinoxyl (20mM final concentration) was added to all solutions, and all procedures were performed on ice. Briefly, frozen tissues were thawed and homogenized in PBS with a Tehran homogenizer (Wheaton Instruments, Millville, NJ). After centrifugation at 2000 x g for 10 min, the nuclear pellets were incubated in lysis buffer (Applied Biosystems, Foster City, CA) overnight at 4°C with proteinase K (500 mg/ml; Applied Biosystems). DNA was extracted twice with a mixture of phenol/chloroform/water followed by ethanol precipitation. The extracted DNA was incubated in PBS (pH 7.4) with RNase A followed by DNA precipitation with cold ethanol. Then, the DNA pellet was resuspended in sterilized double-distilled water. The DNA solution was stored at – 80°C until assayed. The DNA extraction method used in this study is unlikely to modify the original number of apurinic/apyrimidinic (AP) sites and single-strand breaks in genomic DNA from intact tissues or cells, based on reextraction data of DNA exposed to high concentrations of methylmethane sulfonate (Swenberg and Nakamura, unpublished).

AP sites.
AP sites were measured following a procedure reported by Nakamura and Swenberg (1999)Go. Briefly, 8 µg of DNA in 150 µl of PBS was incubated with 1mM aldehyde-reactive probe at 37°C for 10 min. After precipitation using cold ethanol, DNA was resuspended in TE buffer (10mM Tris-HCl, pH 7.4, containing 1mM EDTA). DNA (250 ng) in TE buffer was heat denatured and loaded on a nitrocellulose membrane (110 ng DNA per slot, Hybond-C Super, Amersham Pharmacia Biotech, Piscataway, NJ). The nitrocellulose membrane was soaked with 5x sodium chloride-sodium citrate buffer and then baked in a vacuum oven for 30 min. The membrane was preincubated with 10 ml of Tris-HCl containing bovine serum albumin for 15 min and then incubated in the same solution containing streptavidin-conjugated horseradish peroxidase at room temperature for 45 min. After rinsing the nitrocellulose membrane, the enzymatic activity on the membrane was visualized by enhanced chemiluminescence reagents (Amersham). The nitrocellulose filter was exposed to x-ray film, and the developed film was analyzed using a Kodak Image Station 440. Quantitation was based on comparisons to internal standard DNA containing a known amount of AP sites.

Detection and quantification of 8-OH-dG by capillary liquid chromatography-mass spectrometry/mass spectrometry.
The measurement of 8-OH-dG by liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS) was adapted from the method described by Liao (2003)Go. To digest DNA into individual nucleosides, DNA (30 to 50 µg) was dissolved in 80mM Tris-HCl buffer/20mM MgCl2 (pH 7.0) with 2.75 pmol 15N5-8-OH-dG internal standard prior to digestion with 40 U of DNase I for 10 min at 37°C. Next, 2.7 mU of phosphodiesterase I and 2 U of alkaline phosphatase were added and incubated for an additional 1 h. The released 8-OH-dG was purified by reverse-phase HPLC using a Beckman Ultrasphere ODS C18 column (5 µm, 4.6 x 250 mm, Beckman, Fullerton, CA). The isocratic mobile phase was 7% MeOH in 10mM ammonium formate (pH 4.3) with a flow rate of 1 ml/min. Fractions were collected 2 min preceding and following the elution of 8-OH-dG. The quantitative analysis of 8-OH-dG by capillary LC-electrospray-MS/MS was performed with a 1100 capillary high-performance liquid chromatograph (Agilent, Wilmington, DE) coupled to a TSQ-Quantum triple quad mass analyzer (ThermoFinnigan, San Jose, CA). A 3.5-µm Zorbax XDB-C18 column (0.3 x 150 mm; Agilent) was operated with a binary mobile phase of 2% 10mM ammonium formate (pH 4.3) and 98% methanol followed by a linear gradient increase of methanol from 2 to 30% from 0 to 5 min, holding at 30% for 10 min, and immediate return to initial conditions that was held for 15 min. Both analyte and internal standard were detected by single reaction monitoring of the transition of nucleoside to base adduct m/z 284.2 to 168.2 and m/z 289.2 to 173.2, respectively. MS conditions were as follows: spray voltage, 2200 V and heated capillary temperature, 350°C. All reagents were purchased from Sigma-Aldrich (St Louis, MO) and were of ACS grade or higher.

Ribonuclease protection assays.
Total RNA was isolated using RNeasy total RNA (Qiagen, Valencia, CA) and dissolved in RNase-free water. Samples were stored at – 80°C until assayed. The quality of preparations was determined using an Agilent Bio-Analyzer (Agilent Technologies, Palo Alto, CA). The RNase protection assays were performed on 20 µg of individual total RNA samples using a RiboQuant multiprobe RNase protection assay kit (rat Base Excision Repair, BD PharMingen, San Diego, CA) essentially as described elsewhere (Rusyn et al., 2000Go). Riboprobes were synthesized in the presence of 32P-dUTP to yield labeled antisense RNA probes. Protected fragments were separated on 5% polyacrylamide nucleic acid separation gels, dried, and exposed to x-ray film. The intensity of protected bands was quantified using Kodak 1D Image Analysis Software (New Haven, CT). Band intensity was normalized to the reference gene L32, which in our experience has shown to be stably expressed in the liver without undue expression modulation by various treatments.

Statistical analysis.
Results are reported as means ± SDs with n = 3 in each group. Treatment groups were compared using one-way ANOVA followed by Tukey's multiple comparison post hoc test, where appropriate. A p < 0.05 was selected before the study to determine statistical differences between groups.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
A previous toxicogenomic study of APAP-induced toxicity in rat liver revealed an oxidative stress signature with a subtoxic dose at 6 h that was also present after exposure to overtly toxic doses (Heinloth et al., 2004Go). Specifically, this gene signature included the induction of cyclic adenosine monophosphate-inducible gene 1, heterogeneous nuclear ribonucleoproteins A1/B1, phospholipase C gamma1, metallothionein (MT1a), phytoene dehydrogenase, and H2AX histone family. To substantiate the link of this oxidative stress gene expression signature to incipient liver toxicity, we examined the liver tissue from this earlier study to measure a diverse panel of end points for oxidative stress and DNA damage. The study by Heinloth et al. (2004)Go also found that livers of animals treated with a subtoxic (150 mg/kg) dose of APAP were histologically indistinguishable from those of controls. In contrast, rats treated with 1500 and 2000 mg/kg exhibited mild to moderate centrilobular necrosis and inflammatory lesions that were most prominent at 24 h and coincided with a significant increase in serum alanine aminotransferase (ALT) activity, 2952 ± 261 and 5047 ± 728, respectively.

GSH depletion by the reactive metabolite of APAP, N-acetyl-p-benzoquinone imine (NAPQI), is thought to play an important causal role in APAP-induced hepatotoxicity. As such, liver tissues from rats given a single acute dose by gavage of vehicle or APAP at subtoxic (150 mg/kg) or overtly toxic (1500 mg/kg) doses at 6 and 24 h postdosing were analyzed for rGSH content. APAP treatment at subtoxic and overtly toxic doses led to a 30 and 58% depletion of GSH content, respectively, compared to control animals at 6 h postdosing (Table 1). The GSH content in the liver of these animals returned to control levels by 24 h.


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TABLE 1 rGSH Concentration in Rat Liver Following APAP Treatment

 
Peroxynitrite, an oxidant and nitrating species, is formed from the reaction of superoxide and nitric oxide (NO) which can lead to the formation of 3-nitrotyrosine protein adducts (Pryor and Squadrito, 1995Go; Radi et al., 1991Go). Liver sections from rats given a single acute dose by gavage of vehicle or APAP at subtoxic (150 mg/kg) or overtly toxic (1500 and 2000 mg/kg) doses were examined for the presence of nitrotyrosine protein adducts by immunohistochemistry. Control animals as well as those given an overtly toxic dose of APAP exhibited minimal to nondetectable levels of nitrotyrosine (Figs. 1A, 1C–1D); in contrast, rats given a subtoxic dose of APAP exhibited extensive localized staining of hepatocytes within pericentral regions of the liver lobule (Figs. 1B and 1E), which resolved to control levels by 48 h. Microscopic examination showed the presence of nitrotyrosine adducts within both cellular and nuclear compartments of hepatocytes. Quantitative analysis of liver sections from control animals showed that nitrotyrosine comprised less than 5% of total cellular area in pericentral regions of the liver lobule as opposed to those given a subtoxic dose of APAP where nitrotyrosine comprised 80 and 30% of total cellular area at 6 and 24 h postdosing, respectively (Fig. 1F).


Figure 1
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FIG. 1. A subtoxic dose of APAP significantly increases nitrotyrosine protein adducts in rat liver. Representative micrographs (x200) of liver tissue from rats immunostained for nitrotyrosine after treatment with (A) methyl cellulose control or (B) 150 mg/kg APAP at 6, 24, and 48 h postdosing, (C) 1500 mg/kg, and (D) 2000 mg/kg APAP at 6 h postdosing. (Analysis of overtly toxic doses of APAP at 24 and 48 h postdosing was not performed due to the extensive presence of necrotic tissue that often stains nonspecifically.) Representative micrograph (x40) of liver tissue from rats after treatment with 150 mg/kg APAP demonstrating centrilobular localization of nitrotyrosine adducts (D). CV, central vein; PV, portal vein. Immunostained liver sections for control (open bars) and 150 mg/kg (black-filled bars) APAP were quantified by averaging percent area stained to total area at x200 in pericentral regions (F). Data are presented as mean ± SD, n = 3 biological replicates per group. Data significantly different from control, p < 0.01, are denoted by asterisk.

 
The covalent binding of NAPQI to mitochondrial proteins can lead to an increased production of reactive oxygen species (ROS) that can react with DNA (Mitchell et al., 1973Go). First, we examined 8-OH-dG, a widely used marker of oxidative DNA damage, by immunohistochemical detection (Figs. 2A–2C). Microscopic examination of liver sections from control animals revealed sporadic distribution of positively stained nuclei, but sections from animals given either subtoxic or overtly toxic dose had a concentration of positively stained nuclei within the pericentral region (Fig. 2D). Image analysis was performed to determine the percentage of positively stained nuclei (Fig. 2E). Both subtoxic and overtly toxic doses of APAP led to a significant accumulation of 8-OH-dG adducts at 6 h postdosing.


Figure 2
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FIG. 2. Rat liver genomic DNA significantly accumulates 8-OH-dG adducts after 6 h treatment with subtoxic and overtly toxic doses of APAP. Representative micrographs (x200) of liver tissue immunostained for 8-OH-dG from rats treated with (A) methyl cellulose control, (B) 150 mg/kg, or (C) 1500 mg/kg APAP 6 h postdosing. Representative micrograph (x40) of liver tissue from rats after treatment with 150 mg/kg APAP demonstrating centrilobular localization of 8-OH-dG adducts (D). CV, central vein; PV, portal vein. Immunostained liver sections for control (open bars), 150 mg/kg (black-filled bars), or 1500 mg/kg (gray-filled bars) APAP were quantified by averaging percent nuclei stained to total nuclei within pericentral regions at x200 (E). Data are presented as mean ± SD, n = 3 biological replicates per group. Data significantly different from control, p < 0.05, are denoted by asterisk. ND = not determined.

 
Then, we determined the amounts of 8-OH-dG after APAP treatment using a recently developed capillary LC-MS/MS method as described in the "Materials and Methods" section. A calibration curve was obtained by using 275.5 fmol internal standard and variable amounts of 8-OH-dG ranging from 0.5 to 228 fmol/µl. The ratio of the peak areas of 8-OH-dG versus internal standard was plotted against the known amounts of 8-OH-dG, yielding a linear calibration curve with a correlation coefficient of 1.0 (Fig. 3A). Endogenous levels of 8-OH-dG in control rat liver were ~ 1 adduct per 106 dG (Fig. 3B), in agreement with recent consensus reports from ESCODD (2003)Go. Analysis of liver tissues from rats treated with a subtoxic and overtly toxic dose of APAP found a three- to fourfold increase in 8-OH-dG adducts, respectively, over control (Fig. 3B), confirming our results with immunohistochemical detection.


Figure 3
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FIG. 3. A subtoxic dose of APAP significantly accumulates 8-OH-dG DNA adducts in rat liver as measured by capillary LC-MS/MS. (A) Standard calibration curve for 8-OH-dG by capillary LC-MS/MS. The ratio of the peak areas of 8-OH-dG (AS) to 275.5 fmol 15N5-8-OH-dG (AI) as the internal standard plotted against the amount of 8-OH-dG ranging from 5.5 to 228 fmol/µl. (B) Quantitative measure of 8-OH-dG DNA adducts in rat liver from control (open bars), 150 mg/kg (black-filled bars), or 1500 mg/kg (gray-filled bars) APAP. Data are presented as mean ± SD from three animals per group. *Statistical difference (p < 0.05) from control group using one-way ANOVA followed by Tukey's multiple comparison post hoc test.

 
It is believed that the predominant pathway used for removal of oxidized bases from DNA is the base excision repair (BER) pathway. A multiprobe RNase protection assay for BER genes was used, since this approach distinguishes the presence of multiple expressed DNA repair genes simultaneously from a single sample, thus allowing for sensitive comparative analysis of different mRNA products both within and between samples. Subtoxic dose, 150 mg/kg (data not shown), had no effect on expression of BER genes as compared to controls; however, a time- and dose-dependent increase (1.5- to 3-fold) in mRNA for proliferating cell nuclear antigen (Pcna), poly ADP-ribose polymerase (Parp), AP endonuclease 1, 8-oxoguanine DNA glycoslyase 1 (Ogg1), and polymerases ß and {delta} was observed for 1500-mg/kg dose of APAP (Table 2). In addition, expression of Mgmt, an enzyme involved in the direct repair of alkylated guanine residues and not involved in repair of oxidative DNA lesions, was unaffected in all treatments examined, conferring specificity to BER pathway.


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TABLE 2 Expression of DNA Repair Genes in Rat Liver after Treatment with an Overtly Toxic Dose (1500 mg/kg) of APAP

 
Next, to determine whether the number of mutagenic and clastogenic AP sites was increased following exposure to APAP, AP sites were measured using a slot blot assay. AP sites can be generated spontaneously by chemical depurination of labile bases and enzymatically by DNA glycosylases in a process of BER. In addition, ROS may induce sugar lesions directly by hydrogen abstraction of deoxyribose, frequently resulting in oxidized AP sites (Pogozelski and Tullius, 1998Go). Although APAP at overtly toxic doses induced BER genes as shown above, there were no significant increases in the number of AP sites generated for any of the treatments (Fig. 4).


Figure 4
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FIG. 4. APAP has no effect on the accumulation of AP sites in rat liver. The number of AP sites in genomic DNA isolated from livers of control (open bars) and 150 mg/kg (black-filled bars), or 1500 mg/kg (gray-filled bars) APAP at 6, 24, and 48 h. The control is pooled RNA from three biological replicates and then 6-, 24-, and 48-h time points averaged together. Data are given as mean ± SD, n = 3. Statistical analysis by one-factor ANOVA (p < 0.05) found no significant difference between APAP-treated groups and control.

 
Through the metabolic activation of APAP, both superoxide and peroxynitrite are generated that subsequently may initiate lipid peroxidation by Fenton chemistry (Radi et al., 1991Go). Lipid peroxidation was evaluated by immunostaining for MDA (Khan et al., 2002Go) in liver sections from rats given vehicle or a single acute dose by gavage of APAP at subtoxic (150 mg/kg) and overtly toxic (1500 mg/kg) doses at 6, 24, or 48 h (Figs. 5A–5C). Quantitative image analysis (Fig. 5D) found no statistically significant difference (one-way ANOVA, p < 0.05) between treatment groups and controls.


Figure 5
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FIG. 5. APAP does not promote lipid peroxidation in rat liver. Representative micrographs (x200) of liver tissue immunostained for MDA from rats treated with (A) methyl cellulose control, (B) 150 mg/kg, or (C) 1500 mg/kg APAP 6 h postdosing. Immunostained liver sections for control (open bars), 150 mg/kg (black-filled bars), or 1500 mg/kg (gray-filled bars) APAP were quantified by averaging percent area stained to total area at x200 in pericentral regions (D). Data are presented as mean ± SD, n = 3 biological replicates per group. Statistical analysis by one-factor ANOVA (p < 0.05) found no significant difference between APAP-treated groups and control. ND = not determined.

 

    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
In the present study, we investigated whether altered gene expression patterns that are suggestive of oxidative stress at a subtoxic dose of APAP, when no apparent toxicity was detected using routine histopathological and clinical chemistry measurements, could be phenotypically anchored by using a panel of sensitive biomarkers for oxidative stress and oxidative DNA damage. Our results substantiate the previously reported gene expression profiling data (Heinloth et al., 2004Go) demonstrating that the subtoxic dose of APAP (150 mg/kg) does induce oxidative stress as demonstrated by the significant accumulation of nitrotyrosine protein adducts, 8-OH-dG DNA lesions, and the reduction in GSH content 6 h after treatment. This confirms that gene expression signatures can potentially serve as useful sensitive indicators of toxicity. Furthermore, these data support the utility of gene expression profiling as a sensitive and biologically relevant end point in toxicology.

APAP is a common over-the-counter medication used for its analgesic and antipyretic properties; however, it is also one of the leading causes of drug-induced liver failure (Ostapowicz et al., 2002Go). At pharmacological doses, APAP is metabolized by sulfation and glucuronidation, and to a lesser extent, by cytochrome CYP2E1 that produces a reactive metabolite, NAPQI, which is detoxified by conjugation with GSH (Dahlin et al., 1984Go; Mitchell et al., 1973Go). APAP-induced hepatotoxicity occurs when GSH reserves are exhausted allowing covalent binding of NAPQI to critical cellular proteins as APAP-cysteine adducts (Cohen et al., 1997Go), ultimately disrupting their cellular function (see Fig. 6). Many of these covalently bound proteins are within the mitochondria (Qiu et al., 1998Go), resulting in reduced respiration (Donnelly et al., 1994Go) and increased superoxide production (Jaeschke, 1990Go). Superoxide either reacts with nitric oxide to produce peroxynitrite, which is responsible for protein nitration (Hinson et al., 1998Go), or dismutates to hydrogen peroxide, whereby it can oxidize cellular macromolecules. The presence of nitric oxide, which is induced by APAP (Gardner et al., 1998Go), is thought to block propagation of lipid peroxidation (O'Donnell et al., 1997Go). It has been postulated that loss of mitochondrial function and concomitant generation of oxidative stress are central to APAP-induced hepatotoxicity (James et al., 2003aGo).


Figure 6
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FIG. 6. Phenotypic anchors of gene expression profiling for oxidative stress are a reflection of the proposed mechanism of APAP-induced hepatotoxicity. APAP is metabolized by cytochrome P450s to a reactive metabolite, NAPQI, which depletes GSH and covalently binds to cellular proteins as APAP-cysteine adducts. Mitochondrial injury leads to increased production and release of ROS and reactive nitrogen species that promote oxidative stress and DNA damage. The depletion of GSH and coupling reaction of superoxide Formula and nitric oxide Formula lead to formation of peroxynitrite (ONOO) that reacts with protein tyrosine residues. It has been proposed that the production of Formula induced by APAP, terminates lipid peroxidation propagation. The concomitant loss of mitochondrial function and generation of oxidative stress are postulated to have a central role in APAP-induced hepatotoxicity. The sequence of events involved in APAP-induced hepatotoxicity are shown in bold, whereas the markers of oxidative stress and oxidative DNA damage measured in this study are shown in italics. Asterisk denotes markers that anchored gene expression signature, suggestive of oxidative stress with a subtoxic dose of APAP. This figure is a summation of previously published reports on APAP-induced hepatotoxicity (see the "Discussion" section).

 
It is well recognized that the metabolic activation of APAP leading to GSH depletion is an important step in APAP-induced liver toxicity. As expected, an overtly toxic dose of APAP given to rats significantly reduced GSH content to 60% less than control at 6 h postdosing. Most surprisingly, a subtoxic dose also significantly reduced GSH, albeit to a lesser extent. These data suggest that depletion of GSH must reach a certain threshold for toxicity to ensue and may explain why there are no apparent clinical signs of toxicity with a subtoxic dose of APAP.

A number of studies have reported elevated levels of nitrotyrosine protein adducts that precede and accompany APAP-induced hepatotoxicity in mice (Hinson et al., 1998Go; James et al., 2003bGo). In this study, only rats given a subtoxic dose of APAP, not overtly toxic doses, had significantly elevated levels of nitrotyrosine protein adducts in liver compared to controls at 6 and 24 h postdosing. The detection of these adducts was limited to the pericentral regions of the liver, where metabolic activation of APAP would occur and toxicity would develop at higher doses. Also, an inverse relationship appears to exist between the levels of nitrotyrosine protein adducts and GSH content in the liver. Between 6 and 24 h, the levels of nitrotyrosine decreased from 17- to 8-fold over controls. The reduction in nitrotyrosine protein adducts during this time may be due to several contributing factors, such as enzymatic reversal of protein nitration (Kamisaki et al., 1998Go), increased rate of protein degradation (Gow et al., 1996Go), as well as decreased ROS production with concomitant recovery of GSH content in the liver.

The detection of nitrated protein adducts with a subtoxic dose of APAP supports the presence of oxidant stress as indicated by earlier gene expression studies. However, the inability to detect these adducts with overtly toxic doses demonstrates that the oxidant species formed in the presence of subtoxic and overtly toxic doses of APAP in the rat are not identical. It has been shown that nitration of tyrosine residues is not limited to peroxynitrite exposure but can occur via peroxidase enzymes such as GSH peroxidase (Gaut et al., 2002Go) which is impaired during APAP toxicity. In addition, it has been demonstrated that APAP is highly effective at preventing tyrosine nitration by peroxynitrite (Lakshmi et al., 2000Go; Whiteman et al., 1996Go). Thus, in this study overtly toxic doses of APAP, unlike subtoxic doses, may be able to compete with tyrosine for peroxynitrite which may explain the differences observed with nitrotyrosine levels between these two dosing groups. Moreover, these data would suggest that nitrotyrosine is not associated with APAP-induced hepatotoxicity in the rat; an observation that is in direct opposition to what has been observed in numerous studies with mice. This may well reflect a mechanistic difference in APAP metabolism between these two rodent species.

The generation of ROS by either APAP metabolism or resulting mitochondrial damage can lead to direct or indirect oxidative DNA damage. Immunohistochemical and mass spectrometry methods found a significant accumulation of the potentially mutagenic DNA lesion, 8-OH-dG, at subtoxic and overtly toxic doses of APAP. Accumulation of 8-OH-dG lesions preceded the onset of hepatic injury as reported by ALT and histopathology. The formation of 8-OH-dG from APAP exposure potentially results from mitochondrial oxidant stress where both superoxide and peroxynitrite are produced and can either directly or indirectly oxidize guanines in DNA (Douki and Cadet, 1996Go; Steenken, 1989Go).

Recently, the quantified expression of BER genes was shown to be a sensitive in vivo biomarker of chemical-induced oxidative stress (Rusyn et al., 2000Go). Moreover, because this pathway encompasses broad specificity and multiple routes of repair, it allows greater sensitivity in the ability to detect oxidative DNA damage. The measurement of multiple genes involved in the BER pathway by an RNase protection assay was able to detect upregulation of gene expression that correlated with the onset of centrilobular hepatic necrosis in addition to the rise and fall of ALT. However, the assay was unable to detect significant increases of BER genes at a subtoxic dose, where genomic profiling generated an oxidative stress signature that consisted primarily of genes that are involved in protecting the cell from oxidative stress. It is known that the redox state of the cell is one of many mechanisms involved in activating transcription factors involved in regulating the expression of DNA repair genes (Fritz et al., 2003Go). Thus, it may be that at subtoxic doses of APAP, the apparent increase in expression of antioxidants such as metallothioneins may be sufficient in maintaining redox equilibrium.

The accumulation of AP sites can result from oxidative DNA damage through an intermediary step of BER pathway, enzymatic cleavage, and chemical depurination. The induction of BER pathway and, in particular, AP endonuclease gene by APAP was not, however, corroborated by the accumulation of AP sites by any of the APAP treatments examined. A lack of evidence for an increase in AP sites may be manifested in the limited dose and time regimens examined in this study. Since the development of APAP toxicity typically occurs within the first 6 h of exposure, the detection of abasic sites would be limited if repair occurred rapidly. Alternatively, the repair pathway could involve another route, whereby generation of an abasic site is obsolete. The dissociation between expression of BER genes and accumulation of AP sites is not an unusual phenomenon and has been observed with other chemical hepatotoxicants (Rusyn et al., 2000Go).

The role of lipid peroxidation in APAP-induced hepatotoxicity has been controversial (Hinson et al., 2002Go; Knight et al., 2003Go; Wendel et al., 1979Go). Mitochondrial dysfunction leads to both increased production of superoxide and formation of peroxynitrite that are both capable of initiating lipid peroxidation; however, biochemical studies have shown that nitric oxide can prevent the propagation of lipid peroxidation reactions (O'Donnell et al., 1997Go). This is supported by the fact that inhibiting nitric oxide production during APAP exposure leads to enhanced lipid peroxidation (Hinson et al., 2002Go). Our studies revealed that lipid peroxidation, as measured by the presence of MDA, was not observed to be significant for any doses or times examined. Despite the generation of ROS/reactive nitrogen species by APAP, our work does not support the role of lipid peroxidation as a mediator of APAP-induced hepatotoxicity.

It should be considered that alterations in gene expression that are potentially indicative of cellular injury with an adverse outcome but are unsubstantiated by classical measures of toxicity may be a mere reflection of the tissue's capacity to cope. As demonstrated in this study, an APAP-induced oxidant signature generated by a subtoxic dose was corroborated using sensitive biomarkers for oxidative stress and DNA damage. However, the presence of genes having an antioxidant role within this signature may explain the lack of observable toxicity by classical measures. In order to discern whether gene expression alterations in critical cellular pathways represent benign homeostatic adjustments, indications of the potential for adverse effects or in fact represent adverse effects, especially at doses and times with no observable toxicity, will require the application of more sophisticated and sensitive tools that provide a mechanistic link between a chemical and the observed toxic effect.

In general, the acceptance of microarray expression data as a relevant end point in toxicological studies requires careful interpretation and validation. It has been suggested that this should be achieved using classical toxicological end points such as histopathology and clinical chemistry (Henry et al., 2002Go). One of the great promises of toxicogenomics is that it will be able to detect and predict toxicity at much earlier stages compared to existing methods; however, restricting validation of expression data to only classical end points, with their inherent lack of sensitivity, would bring the advancement of toxicogenomics as well as toxicology to an impasse. Most importantly, the enhanced sensitivity of microarray studies to detect subtle, early alterations in vital cellular pathways that may be indicative of adverse effects, but display no observable toxicity by conventional measures, can have serious ramifications in policy and regulatory decision making.

In summary, we show that incipient signs of oxidative stress can be observed with a subtoxic dose of APAP based on the reduction in GSH content in the liver, along with the accumulation of nitrotyrosine protein adducts and 8-OH-dG DNA lesions, markers anchored on the mechanism of APAP-induced liver toxicity. The use of sensitive biomarkers of oxidative stress and oxidative DNA damage revealed that mechanistic differences may exist in APAP metabolism between subtoxic and overtly toxic doses not only in rats but also among rodent species. Gene expression profiling is a sensitive tool capable of detecting subtle cellular disturbances at doses and times unobtainable by classical toxicological measures. Thus, it has the potential to serve an essential role in predicative toxicology by generating gene signatures as biomarkers of incipient toxicity.


    ACKNOWLEDGMENTS
 
Financial support for this study was provided, in part, by grants from the National Institutes of Health, U19-ES11391, P42-ES05948, R42-ES11746, P30-ES10126, and National Institute of Environmental Health Sciences Intramural Research Program. I.R. was a recipient of a Transition to Independent Position award K22-ES11660. C.L.P. was supported, in part, by a National Institute of Environmental Health Sciences Training Grant T32-ES07126. The authors thank Dr David Malarkey (NIEHS) and Ms Julie Foley (NIEHS) for careful review of the manuscript.


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