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Departments of *Anesthesiology and Critical Care Medicine and
Pediatrics, The Johns Hopkins Medical Institutions, Baltimore, Maryland, the
Molecular and Cellular Toxicology Section of the Laboratory of Molecular Immunology, and the
Division of Epidemiology and Clinical Applications, Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
Address correspondence and reprint requests to Dolores B. Njoku, MD, Department of Anesthesiology and Critical Care Medicine, The Johns Hopkins Hospital, Blalock 906A, 600 N Wolfe St., Baltimore, MD 21287. Address e-mail to dnjoku{at}jhmi.edu
| Abstract |
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IMPLICATIONS: Environmental exposure of anesthesiology personnel to certain inhaled anesthetics can induce the formation of autoantibodies that have been associated with anesthetic hepatitis. Female anesthesiologists have high levels of these autoantibodies; however, the majority of these individuals do not develop hepatitis, suggesting that autoantibodies may not have a pathological role in volatile anesthetic-induced hepatitis.
| Introduction |
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Previous investigations have demonstrated that several specific hepatic proteins become covalently trifluoroacetylated (TFA) by the reactive metabolites of halothane and isoflurane (6). Similar adducts may also be formed at very small levels after exposure to desflurane (6). These TFA neoantigens are important because it is thought that they induce immune responses against either the TFA neoantigens, the native protein components (autoantigens) of the TFA neoantigens, or both of these classes of antigens in individuals that are susceptible to inhaled anesthetic-induced hepatitis (7). For example, studies in rats have shown that after exposure to halothane, a 58-kd hepatic endoplasmic reticulum protein (ERp58) becomes covalently modified by the trifluoroacetyl chloride metabolite of halothane (8). Subsequently, it was found that the majority of halothane hepatitis patients had serum antibodies that reacted with the purified rat TFA-ERp58 neoantigen, native ERp58 autoantigen, or both antigens, and this reactivity was significantly more than that of control patients (9). Moreover, we recently found that 40% of halothane hepatitis patients have serum autoantibodies that react with human liver ERp58 (Martin et al., unpublished results). Similarly, it has been established that cytochrome P450 2E1 (P450 2E1), the primary enzyme responsible for the oxidative metabolism of most volatile anesthetics, also becomes TFA altered when it metabolizes halothane (10). In addition, autoantibodies reacting with P450 2E1 are significantly elevated in the sera of 45%70% of patients diagnosed with halothane hepatitis, whereas control subjects did not demonstrate increased levels of these autoantibodies (10,11). These findings suggest that pathogenic antibodies directed against ERp58, P450 2E1, or both may have a role in the etiology of volatile anesthetic hepatitis.
Low levels of P450 2E1 autoantibodies have also been found in the sera of a small group of anesthesiology personnel, suggesting that they may have been formed as a result of environmental exposure to halothane, enflurane, isoflurane, or possibly desflurane (10). If this were the case, then it seems reasonable that pediatric anesthesiologists may have higher levels of P450 2E1 autoantibodies than general anesthesiologists as a consequence of direct exposure to inhaled anesthetics from mask inductions and uncuffed endotracheal tubes. To test this idea, and to determine whether anesthesiologists also have ERp58 autoantibodies in their sera, we collected sera from a large group of pediatric anesthesiologists at the 1998 Society of Pediatric Anesthesiology winter meeting and analyzed them for the presence of ERp58 and P450 2E1 autoantibodies. We found that pediatric anesthesiologists had higher levels of both ERp58 and P450 2E1 autoantibodies than did general anesthesiologists. However, because most anesthesiologists do not develop volatile anesthetic-induced liver injury, the results suggest that pathogenic ERp58 and P450 2E1 autoantibodies may not cause volatile anesthetic hepatitis.
| Materials and Methods |
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Human Sera
The Joint Committee on Clinical Investigation IRB at the Johns Hopkins University School of Medicine approved the studies. After informed consent was obtained, sera from 105 pediatric anesthesiologists and 53 general anesthesiologists (including 3 nurse anesthetists) were collected and stored at -25°C until analyzed. A questionnaire was used to obtain demographic information from the subsets of individuals. Sera previously collected from patients with a clinical diagnosis of halothane hepatitis and control patients without exposure to volatile anesthetics were also analyzed (13). Because we were concerned that degradation of the proteins being tested may have occurred with some of the older sera from halothane hepatitis patients, as well as factitiously low autoantibodies in older control sera, all of the sera were reanalyzed, with the addition of new halothane hepatitis and control patients. We found that older sera results were analogous to new sera results in both groups.
Enzyme Linked Immunosorbent Assay of Human Sera
All assays were performed in triplicate in the wells of Immulon® 4 microtiter plates (Dynex Incorporated, Chantilly, VA) in a total reaction volume of 100 µL by using a previously described method (14). Washings were performed with an Ultrawash PlusTM automated microplate washer (Dynatech Technologies). The test antigens were 0.5 µg of ERp58 or P450 2E1 in phosphate-buffered saline. AP product formation was determined at 405 nm after 60 and 90 min, respectively, using a SpectraMax 250 automatic plate reader (Molecular Devices, Sunnyvale, CA).
Demographics
To determine whether differences in the autoantibody levels could be explained in terms of the baseline characteristics of each group, these characteristics were examined for both pediatric and general anesthesiologists. Autoantibody levels, age, work experience, and ALT levels were evaluated using Welchs two-sided t-test for differences in means with unequal variances (15). Sex, history of autoimmune disease, liver disease, and infectious hepatitis were also examined in both groups using two-sided Fishers exact test for proportions (16).
ERp58 and P450 2E1 autoantibody levels for control and halothane hepatitis patients were compared with those levels for pediatric and general anesthesiologists without adjusting for other covariates. Box plots were constructed to compare the means and distributions of these levels among the four groups. The medians of the autoantibody levels of these groups were evaluated using pairwise Wilcoxons ranked sum tests (17).
Regression Models
To determine whether differences in the autoantibody levels of pediatric and general anesthesiology groups were statistically different because of predictor variables, two separate multiple regression models were constructed (17). The two response variables, Y1 and Y2, were the ERp58 and P450 2E1 autoantibody levels, respectively. In both groups, autoantibody levels were skewed to the right. Therefore, these variables were transformed by natural logarithms in the regression models. Thus, log(Y1) and log(Y2) are linear functions of the predictor variables in such models. The candidate predictor variables included I1, type of anesthesiologist (0 for general, 1 for pediatric), I2, sex (0 for men, 1 for women), I3, history of autoimmune disease (0 for no, 1 for yes), I4, history of liver disease (0 for no, 1 for yes), and I5, history of infectious hepatitis (0 for no, 1 for yes). Other variables also included functions of age (yr), work experience (yr), and ALT levels (U/L), which were transformed by natural logarithms because they were skewed to the right. Additionally, because age and work experience were highly correlated, only one of these predictor variables was included in each model. Thus, the variables used in the model were X1 = log(age) (log-yr) or X2 = log(work experience) (log-yr) and X3 = log(ALT levels + 1) (log-IU/L).
Other characteristics obtained from the questionnaire included ethnicity, chronic medications, and alcohol consumption. None of these correlated with the autoantibody levels and were excluded from the final analysis. Additionally, the reported number of general anesthetics per day was also considered too unreliable to be included in the analysis. Interactions between anesthesiologist type (I1) and some of the other covariates were also considered. However, to avoid over-fitting the model, and because these covariates were balanced between both pediatric and general anesthesiologist groups, interactions between anesthesiologist type (I1) and the medical history indictor variables of autoimmune diseases (I3), liver disease (I4), and infectious hepatitis (I5) were excluded from the final models. One of the general anesthesiologists was deleted from the analysis because of missing questionnaire data.
All subset regression was used to select good candidate models. The criteria used to select the best model for each protein were Mallows Cp statistic, parsimony (i.e., models with the fewest number of variables), and interpretive value (18). The F test was used to determine whether the complete set of variables used in the model significantly explained the variability of the antibody levels. All variables included in the model were required to be significant at the 5% level. The statistical analyses were performed in the SAS 6.12 programming language (SAS Inc, Cary, NC).
| Results |
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The best multiple regression model for ERp58 autoantibody levels with the four outliers removed (n = 153 observations) was
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where expdenotes the natural exponential function, with an adjusted R2 score of 54.7%. The F test shows that the variables pediatric anesthesiologists and female sex explain why ERp58 autoantibody levels were higher among pediatric anesthesiologists than general anesthesiologists (Table 2). Specifically, pediatric anesthesiologists have higher ERp58 autoantibody levels than general anesthesiologists, and female anesthesiologists tend to have higher levels of autoantibodies to this protein than do male anesthesiologists with the same covariates. In the same way, the variable age of general anesthesiologists explains why some of their ERp58 autoantibody levels can be higher than those of other general anesthesiologists. Specifically, as age increases, general anesthesiologists tend to have higher levels of autoantibodies to ERp58. The other predictor variables did not contribute significantly to this model in the presence of the above covariates.
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with an adjusted R2 score of 70.0%. The F test shows that the variables pediatric anesthesiologists and female pediatric anesthesiologists explain why P450 2E1 autoantibody levels are higher in pediatric anesthesiologists than general anesthesiologists (Table 3). Specifically, pediatric anesthesiologists have higher levels of P450 2E1 autoantibodies than general anesthesiologists with the same covariates, and female pediatric anesthesiologists have higher levels of P450 2E1 autoantibodies than male pediatric anesthesiologists with the same covariates. Moreover, in an alternative model with simply sex (I2), rather than an interaction between sex and anesthesiologist type (I1I2), the coefficient for sex has a P value of 0.08. In the same way, ALT levels of general anesthesiologists explain why the P450 2E1 autoantibody levels of some general anesthesiologists can be higher than those of other general anesthesiologists. Specifically, those general anesthesiologists with higher ALT levels had higher levels of P450 2E1 autoantibodies. The other predictor variables did not contribute significantly to this model in the presence of the above covariates.
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| Discussion |
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Only one female pediatric anesthesiologist developed liver injury, even when all of the pediatric anesthesiologists as a group had increased serum levels of anesthetic hepatitis-associated ERp58 and P450 2E1 autoantibodies that were not significantly different from those of halothane hepatitis patients. Thus, our findings suggest that ERp58 and P450 2E1 autoantibodies may not have a role in the development of inhaled anesthetic hepatitis. Alternatively, it is possible that antigen-specific cytotoxic T cells, instead of autoantibodies, which are directed against peptides derived from ERp58 and P450 2E1, may cause volatile anesthetic hepatitis. In this regard, antigen-specific cytotoxic T cells, but not autoantibodies, appear to have a role in the pathogenesis of liver injury caused by hepatitis B infection (20).
In contrast, humoral reactions, cellular immune reactions, or both against native ERp58 and P450 2E1 may not have a role in volatile anesthetic-induced hepatitis. Perhaps only TFA-altered forms of these autoantigens can be targets of pathogenic antibodies or cytotoxic T cells. In this regard, previous studies have demonstrated that only halothane hepatitis patients, but not patients exposed to halothane who did not develop hepatitis, or patients with other forms of liver disease, have serum antibodies that react with TFA liver microsomal antigens (7). Furthermore, other cellular targets of the reactive acyl halide metabolites of volatile anesthetics that also become TFA modified, such as a carboxylesterase, protein disulfide isomerase, ERp72, and glucose-related proteins 78 and 94, could potentially become the immunogens that lead to volatile anesthetic-induced hepatitis (7).
In conclusion, we found significantly higher levels of ERp58 and P450 2E1 serum autoantibodies in pediatric anesthesiologists when compared with general anesthesiologists. The mathematical regression models verify that female anesthesiologists, both pediatric and general, have higher levels of autoantibodies to ERp58 than male anesthesiologists, and female pediatric anesthesiologists tend to have higher levels of P450 2E1 autoantibodies than male pediatric anesthesiologists. Still, only one of the female pediatric anesthesiologists developed symptoms of anesthetic hepatitis, even though these autoantibodies have been associated with volatile anesthetic-induced hepatitis. These findings suggest that ERp58 and P450 2E1 serum autoantibodies may not have a role in volatile anesthetic-induced hepatitis and that other immune mechanisms may determine whether halogenated volatile anesthetic-induced hepatitis occurs.
| Acknowledgments |
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| Footnotes |
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| References |
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