Literature DB >> 32200032

An international validation study of the IL-2 Luc assay for evaluating the potential immunotoxic effects of chemicals on T cells and a proposal for reference data for immunotoxic chemicals.

Yutaka Kimura1, Rie Yasuno2, Mika Watanabe3, Miwako Kobayashi3, Tomoko Iwaki4, Chizu Fujimura1, Yoshihiro Ohmiya2, Kohji Yamakage3, Yoshihiro Nakajima4, Mayumi Kobayashi5, Nana Mashimo5, Yumi Takagi5, Takashi Omori5, Emanuela Corsini6, Dori Germolec7, Tomoaki Inoue8, Erwin L Rogen9, Hajime Kojima10, Setsuya Aiba11.   

Abstract

To evaluate the immunotoxic effects of xenobiotics, we have established the Multi-ImmunoTox assay, in which three stable reporter cell lines are used to evaluate the effects of chemicals on the IL-2, IFN-γ, IL-1β and IL-8 promoters. Here, we report the official validation study of the IL-2 luciferase assay (IL-2 Luc assay). In the Phase I study that evaluated five coded chemicals in three sets of experiments, the average within-laboratory reproducibility was 86.7%. In the Phase II study, 20 coded chemicals were evaluated at multiple laboratories. In the combined results of the Phase I and II studies, the between-laboratory reproducibility was 80.0%. These results suggested that the IL-2 Luc assay was reproducible both between and within laboratories. To determine the predictivity, we collected immunotoxicological information and constructed the reference data by classifying the chemical into immunotoxic compounds targeting T cells or others according to previously reported criteria. When compared with the reference data, the average predictivity of the Phase I and II studies was 75.0%, while that of additional 60 chemicals examined by the lead laboratory was 82.5%. Although the IL-2 Luc assay alone is not sufficient to predict immunotoxicity, it will be a useful tool when combined with other immune tests.
Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.

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Keywords:  IL-2; Immunotoxic assay; Luciferase assay; Validation study

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Year:  2020        PMID: 32200032      PMCID: PMC9552337          DOI: 10.1016/j.tiv.2020.104832

Source DB:  PubMed          Journal:  Toxicol In Vitro        ISSN: 0887-2333            Impact factor:   3.685


Introduction

A well-functioning immune system is essential for maintaining the integrity of an organism. Immune dysregulation can have serious adverse health consequences, ranging from reduced resistance to infection and neoplasia to allergic and autoimmune conditions. Environmental contaminants, food additives, and drugs can target the immune system, resulting in immune dysregulation. Accordingly, the potential for immunotoxicity, which is defined as the toxicological effects of xenobiotics on the function of the immune system, has raised serious concerns from the public as well as from regulatory agencies. Currently, the assessment of chemical immunotoxicity relies mainly on animal models and in vivo assays, or ex vivo assays using cells from animals, to characterize immunosuppression and sensitization. However, animal studies have many drawbacks, such as high cost, ethical concerns, and questionable relevance to risk assessment for humans. A worldwide vision is currently promoting alternative testing methods and assessment strategies to reduce the use of laboratory animals and, if possible, replace animals used in scientific studies (Adler et al., 2011). The workshop hosted by the European Centre for the Validation of Alternative Methods (ECVAM) in 2003 focused on stateof-the-art in vitro systems for evaluating immunotoxicity (Galbiati et al., 2010; Gennari et al., 2005; Lankveld et al., 2010). A tiered approach was proposed during the ECVAM workshop. Since useful information can be obtained from regular 28-day general toxicity tests, the proposed tiered approach would begin pre-screening for direct immunotoxicity by evaluating myelotoxicity, as compounds capable of damaging or destroying bone marrow will likely have immunotoxic effects (Lankveld et al., 2010). If compounds are not myelotoxic, they are tested for leukotoxicity. Compounds are then tested for immunotoxicity using various approaches, such as the T cell–dependent antibody response, lymphocyte proliferation assay, mixed lymphocyte reaction, NK cell assay, dendritic cell maturation assay, human whole-blood cytokine release assay (HWBCRA), and/or fluorescent cell chip (FCP) assay. Several regulatory guidance or guidelines in immunotoxicology have been published for the pharmaceutical industry and chemical manufacturers. A workshop hosted by the International Life Sciences Institute-Health and Environmental Sciences Institute (ILSI-HESI) was held to share perspectives on immunotoxicity testing, developmental immunotoxicity and integrated and alternative approaches to immunotoxicity testing. The workshop summarized that standard toxicity studies, combined with triggered-based functional immune testing approaches, represent an effective approach to evaluate immunotoxic potential (Boverhof et al., 2014). Our group established the Multi-ImmunoTox assay (MITA) to evaluate the effects of chemicals on the IL-2, IFN-γ, IL-1β, and IL-8 promoters using three stable reporter cell lines (Kimura et al., 2014, 2018). Of these cell lines, 2H4 derived from Jurkat cells contains stable luciferase green (SLG) regulated by the IL-2 promoter, stable luciferase orange (SLO) regulated by the IFN-γ promoter, and stable luciferase red (SLR) regulated by the G3PDH promoter (Saito et al., 2011). The IL-2 luciferase assay (IL-2 Luc assay) uses 2H4 cells to identify the effects of chemicals on the IL-2 and IFN-γ promoters in the presence of the stimulants phorbol 12-myristate 13-acetate (PMA) and ionomycin (Io). IL-2 exerts pleiotropic actions on CD4+ T cell differentiation via its modulation of cytokine receptor expression. IL-2 promotes Th1 differentiation by inducing IL-12Rb2 (and IL-12Rb1), promotes Th2 differentiation by inducing IL-4Ra, inhibits Th17 differentiation by inhibiting gp130 (and IL-6Ra), and drives Treg differentiation by inducing IL-2Ra. IL-2 also potently represses IL-7Ra, which decreases survival signals that normally promote cell survival and memory cell development (reviewed by Liao et al. (2011)). It is therefore conceivable that chemicals that affect IL-2 release by T cells can significantly impact immune function. Although our final goal is to officially validate the MITA as a defined approach for the in vitro assessment of immunotoxicity, in the current study we conducted a validation study for the IL-2 Luc assay. This validation study was conducted by a validation management team (VMT) composed of the lead laboratory, three independent laboratories, and four international expert members coordinated by the Japanese Center for the Validation of Alternative Methods (JaCVAM). This validation study examined the within- and between-laboratory reproducibility of this assay. In addition, it shed light on the difficulty in determining the predictivity of in vitro immunotoxicity tests because of the lack of reference data regarding the targeted effects of immunotoxic chemicals. In this study, we also proposed a procedure to create the reference data for assessing chemical immunotoxicity.

Materials and methods

The 2H4 IL-2 reporter cell line

We used the previously established 2H4 reporter cell line derived from a specific cell line of Jurkat cells with the ability to produce IL-2, kindly provided by Professor Kazuo Sugamura, Department of Microbiology, Tohoku University School of Medicine. 2H4 cells contain SLG regulated by the IL-2 promoter, SLO regulated by the IFN-γ promoter, and SLR regulated by the G3PDH promoter (Saito et al., 2011). This cell line was cultured in RPMI-1640 (Sigma-Aldrich, St. Louis, MO) containing Antibiotic-Antimycotic (Invitrogen) and 10% Hyclone™ fetal calf serum (Thermo Fisher Scientific, Waltham, MA) (Jurkat growth medium) at 37 °C with 5% CO2.

Chemical treatment of 2H4 cells and measurement of luciferase activity

Based on previous reports (Kimura et al., 2014; Saito et al., 2011), 2H4 cells (2 × 105 cells/50 μl/well) in 96-well black plates (Greiner Bio-One GmbH, Frickenhausen, Germany) were pretreated with different concentrations of individual chemicals for 1 h. The 2H4 cells were then stimulated with 25 nM PMA and 1 μM ionomycin (PMA/Io) for 6 h. Three luciferase activities (SLG luciferase activity (SLG-LA), SLO luciferase activity (SLO-LA), and SLR luciferase activity (SLR-LA)) were simultaneously determined using a microplate-type luminometer with a multi-color detection system (Phelios; Atto Co., Tokyo, Japan) and Tripluc luciferase assay reagent (TOYOBO Co., Ltd., Osaka, Japan) according to the manufacturers’ instructions. Use of the 2H4 cell line enabled measurement of SLG-LA driven by the IL-2 promoter (IL2LA), SLO-LA driven by the INF-γ promoter (IFNLA), and SLR-LA driven by G3PDH (GAPLA) in 2H4 cells. In this study we used just the IL2LA and GAPLA. We accounted for variation in cell number and cell viability after chemical treatment by normalizing the data for IL2LA (nIL2LA) or IFNLA (nIFNLA) by dividing IL2LA or IFNLA, respectively, with GAPLA in the 2H4 cells. In addition, we calculated % suppression, % augmentation, and Inh-GAPLA as follows: Inh-GAPLA=GAPLA of 2H4 cells treated with chemicals/GAPLA of untreated cells. Definitions of these terms are provided in Table 1.
Table 1

The definition of the parameters in the IL-2 Luc assay.

AbbreviationsDefinition

GAPLASLR luciferase activity reflecting GAPDH promoter activity
IL2LASLO luciferase activity reflecting IL-2 promoter activity of 2H4 cells
nIL2LAIL2LA/GAPLA of 2H4 cells
% suppression(nIL2LA of 2H4 cells treated with chemicals/ nIL2LA of non-treated 2H4 cells) × 100
% augmentation(1-(nIL2LA of 2H4 cells treated with chemicals/ nIL2LA of non-treated 2H4 cells)) × 100
CV05The lowest concentration of the chemical at which Inh-GAPLA becomes < 0.05.
Inh-GAPLAGAPLA of 2H4 cells treated with chemicals /GAPLA of untreated cells.

Validation studies

In the pre-validation study, transferability of this assay was examined using five non-coded chemicals (2-aminoanthracene, citral, chloroquine diphosphate salt, dexamethasone and methylmercury(II) chloride) in four test facilities, including the lead laboratory. These chemicals were selected by the Chemical Selection Committee (CSC). In the Phase I study, within- and between-laboratory reproducibility of this assay was examined using five coded chemicals in three test facilities. In the Phase II study, between-laboratory reproducibility was examined using 20 coded chemicals in three test facilities. These chemicals were selected by the CSC in the VMT based on the in-house dataset of the lead laboratory and published papers on in vivo or in vitro immunotoxicity tests. The chemicals were coded by JaCVAM as shown in Appendix Tables 1 and 2, and distributed to the test facilities. The study was conducted based on the Multi-ImmunoTox Assay protocol Ver. 011E (Appendix 1).

Criteria for judgment of chemicals

A positive control examining the induction of nIFNLA in 2H4 cells treated with PMA/Io and measurement of nIFNLA in non-treated 2H4 cells was required for each set of experiments. The fold induction of nIFNLA of PMA/Ionomycin wells without chemicals (= (nIFNLA of 2H4 cells treated with PMA/Ionomycin)/(nIFNLA of non-treated 2H4 cells)) was calculated. If the fold induction for the positive control was less than 3.0, the results obtained from the experiments were rejected. Experiments for each chemical were repeated until two consistent suppressive (or stimulatory) results or two consistent “no effect results” were obtained. When two consistent results were obtained, the chemicals were classified as indicated by the consistent results according to three criteria. Chemicals which met the following three criteria were judged as positive: The mean % suppression was ≥35 (suppressive) or ≤−35 (stimulatory) with statistical significance. The statistical significance was judged by its 95% confidence interval. The result showed two or more consecutive suppressive (stimulatory) data points with statistical significance or one suppressive (stimulatory) data point with statistical significance and a trend in which at least three consecutive data points increase (or decrease) in a dose-dependent manner. In the latter case, the trend can cross 0, as long as only one data point shows the opposite effect without statistical significance. Only data obtained at the concentration at which Inh-GAPLA is ≥0.05 contribute to the classification of the chemical. If the three criteria are not met, the chemical would be classified as having ‘no effect’. It is important to recognize that IL-2 exerts pleiotropic actions on CD4+ T cell differentiation via its modulation of cytokine receptor expression. Indeed, IL-2 promotes Th1 and Th2 differentiation, while it also drives Treg differentiation. These findings suggest that the augmentation of IL-2 transcription can lead to either immunostimulation or immunosuppression, depending on the surrounding tissue environment in vivo. Therefore, if the results in our assay indicated either augmentation or suppression, the chemical was considered as positive (P) and if not, was classified as having “no effect” (N).

The performance of the IL-2 Luc assay

To determine the performance of the IL-2 Luc assay, it is crucial to understand the immunotoxicological characteristics of the chemicals used in the validation. Since the IL-2 Luc assay evaluates IL-2 transcription by T cells, we attempted to classify the chemicals into two categories: (i) immunotoxic chemicals which target T cells (TTCs), including chemicals that directly affect T cell viability, T cell proliferation or T cell function and (ii) others (NTTCs), which included chemicals that were suggested to not directly affect T cell viability, T cell proliferation or T cell function. To define those chemicals that TTCs, we conducted a literature review focused on the available immunotoxicity data and the following endpoints: Decreased thymus weight. Increased or decreased IL-2, IFN-γ, or IL-4 mRNA expression or production by T cells ex vivo. Increased or decreased IL-2, IFN-γ, or IL-4 mRNA expression or production by T cells in vitro. Suppressed T cell proliferation. Suppressed cytotoxic T cell response. Other data that clearly indicated that one of the immunotoxic mechanisms of the chemical was attributed to an effect on T cells. Then, according to the rationale for classifying immunotoxic chemicals reported by Luster et al. (1992b), we defined TTCs as chemicals that satisfied one of the following criteria and then constructed a reference database defining the immunotoxicities of the chemicals. Criterion 1. Decreased thymus weight with additional one or more findings among endpoints 2 to 5. Criterion 2. Increased or decreased mRNA expression or protein production in one or more cytokines in Endpoints 2 or 3 in multiple reports. Criterion 3. Increased or decreased mRNA expression or protein production in two or more cytokines in Endpoints 2 or 3. Criterion 4. The presence data suggesting that one of the immunotoxic mechanisms of the chemical was attributed to an effect on T cells in Endopoint 6. Then, by comparing the results of the IL-2 Luc assay (positive or no effect) with the classification of the chemicals (TTC or NTTC), we calculated the accuracy, sensitivity and specificity of the IL-2 Luc assay in the validation study. To classify the 25 chemicals used in the Phase I and II studies, we used the chemical information kindly provided by the National Toxicology Program (NTP) (Appendix 2). The reference database including the immunotoxicological characteristics of each chemical is shown in Appendix Table 3. The list of references is in Appendix 3.

Acceptance criteria

The within-laboratory reproducibility for all the test facilities was conducted by an independent biostatistical analysis using five coded chemicals and was overseen by the VMT. Based on the tentative acceptance criteria for the Phase I study, the concordance within laboratories was required to be greater than or equal to 80%. Twenty-five coded test items were selected to confirm between-laboratory reproducibility in the Phase I and II studies. At the end of testing, the test facilities submitted a QC-certified copy of the entire study dossier to the trial coordinator (study plan adhering to GLP principles, raw data, records, data analysis, and study report adhering to GLP principles). Based on the tentative acceptance criteria for the Phase I and II studies, the concordance for between-laboratory reproducibility was required to be greater than or equal to 80%.

IL-2 Luc assay dataset for 60 chemicals and for chemicals evaluated by the NTP

Based on the IL-2 Luc assay protocol (version 011E) and the criteria used in the validation study, the lead laboratory reevaluated the data for 60 chemicals reported previously (Kimura et al., 2018) and 31 chemicals of the 51 chemicals evaluated by the NTP (Luster et al., 1992b). Information regarding the immunotoxicity of these chemicals is summarized in Appendix Table 4. The list of references is in Appendix 4.

Results

Phase 0 study (technical transfer)

The preliminary test trial (Phase 0) was performed by the participating laboratories following the Multi-ImmunoTox Assay protocol Ver. 008.1E established by the lead laboratory, Tohoku University. Four laboratories participated in the Phase 0 study of the IL-2 Luc assay using the five open labeled chemicals 2-aminoantracene, citral, chloroquine diphosphate salt, dexamethasone and methylmercury(II) chloride, and conducted one analysis set (three experiments) for each chemical. The response patterns of the five chemicals were similar among the four laboratories. Based on the results, the VMT judged that technical and protocol transfer of the IL-2 Luc assay was acceptable. After the Phase 0 study, the protocol was modified to optimize assay performance, and refine the acceptance criteria and statistical analyses.

Phase I study (for within- and between-laboratory reproducibility and predictivity)

For the Phase I study, a total of five coded chemicals (four T cell targeting and one non-T cell targeting) were evaluated in three experimental sets consisting of three or more individual experiments for each chemicals using the Multi-ImmunoTox Assay protocol Ver. 011E established by the lead laboratory, Tohoku University. The complete results of the Phase I study are shown in Table 2. The within-laboratory reproducibility was 80.0% (4/5), 100% (5/5), and 80.0% (4/5) in Lab. A, Lab. B, and Lab. C, respectively. The average was 86.7% (13/15). The between-laboratory reproducibility was 80.0% (4/5).
Table 2

Results of the Phase I study.

ChemicalCASSetLab. ALab. BLab. CConcordanceT cell targetingRationale

Dibutyl phthalate84-74-21stPPP1Yes3, 4
2ndPPP
3rdPPP
Hydrocortisone50-23-71stPPP0Yes1
2ndNPP
3rdNPN
Lead(II) acetate6080-56-41stPPP1Yes1
2ndPPP
3rdPPP
Nickel(II) sulfate10101-97-01stPPP1Yes1
2ndPPP
3rdPPP
Zinc dimethyldithiocarbamate (DMDTC)137-30-41stNNN1No
2ndNNN
3rdNNN
Within-laboratory reproducibility (%)80.0 (4/5)Average86.7 (13/15)100 (5/5)80.0 (4/5)
Between-laboratory reproducibility (%) (Based on Majority)80 (4/5)
Sensitivity (%) (Based on Majority)75.0 (3/4)Average91.7 (11/12)100 (4/4)100 (4/4)
Specificity (%) (Based on Majority)100 (1/1)100 (3/3)100 (1/1)100 (1/1)
Accuracy (%) (Based on Majority)80.0 (4/5)Average93.3 (14/15)100 (5/5)100 (5/5)

P: Positive, N: No effect.

Phase II study (for between-laboratory reproducibility and predictivity)

The Phase II study for between-laboratory reproducibility and predictivity was conducted with a total of 20 coded chemicals (twelve T cell targeting, seven non-T cell targeting and one undetermined) evaluated in one experimental set using the Multi-ImmunoTox Assay protocol Ver. 011E. The complete results of the Phase II study are shown in Table 3. The between-laboratory reproducibility was 80% (16/20). To further evaluate the between laboratory reproducibility, all of the results from Phases I and II were combined. The reproducibility for the combined results was 80% (20/25), similar to that of the Phase II study alone (Table 4).
Table 3

Results of the Phase II study.

ChemicalCASLab.ALab.BLab.CConcordanceT cell targetingRationale

2,4-Diaminotoluene95-80-7NNN1No
Benzo(a)pyrene50-32-8PPP1Yes2), 3)
Cadmium chloride10108-64-2NNN1Yes2), 3)
Dibromoacetic acid631-64-1PPN0Yes1), 4)
Diethylstilbestol56-53-1PPP1Yes1), 2), 4)
Diphenylhydantoin630-93-3NNN1Yes2), 3), 4)
Ethylene dibromide106-93-4NNN1Yes1)
Glycidol556-52-5PPP1No
Indomethacin53-86-1PPP1Yes3), 4)
Isonicotinic acid Hydrazide54-85-3PNP0Yes2)
Nitrobenzene98-95-3NPN0Undetermined
Urethane, Ethyl carbamate51-79-6PPP1Yes1)
Tributyltin chloride1461-22-9PPP1Yes1)
Perfluorooctanoic acid335-67-1PPP1Yes1)
Dichloracetic acid79-43-6PPP1Yes2), 3)
Toluene108-88-3NNN1No
Acetonitril75-05-8NNN1No
Mannitol69-65-8NNN1No
Vanadium pentoxide1314-62-1NNN1No
o-Benzyl-p-chorolophenol120-32-1PPP1No
Between-laboratory reproducibility (%)80 (16/20)
Sensitivity (%)75.0 (9/12)66.7 (8/12)66.7 (8/12)
Specificity (%)71.4 (5/7)71.4 (5/7)71.4 (5/7)
Accuracy (%)73.7 (14/19)68.4 (13/19)68.4 (13/19)

P: Positive, N: No effect.

Table 4

The combined results of the Phase I and Phase II studies.

Within-laboratory reproducibilities (%)80 (4/5)Average86.7 (13/15)100 (5/5)80 (4/5)
Between-laboratory reproducibilities (%) (Based on majority for Phase I)80 (20/25)
Sensitivity (%)75.0 (12/16)Average75.0 (36/48)75.0 (12/16)75.0 (12/16)
Specificity (%)75.0 (6/8)Average75.0 (18/24)75.0 (6/8)75.0 (6/8)
Accuracy (%)75.0 (18/24)Average75.0 (54/72)75.0 (18/24)75.0 (18/24)

The predictivity of the IL-2 Luc assay in the validation studies, in the dataset composed of 60 chemicals, and in the evaluation of 31 chemicals from the NTP database

To examine the predictivity of the IL-2 Luc assay, we surveyed the literature for available in vivo, ex vivo, in vitro and mechanistic data on the immunotoxicity of the chemicals used in this study (Appendix 3 and 4). The in vivo data may include alterations in the weight of immune system organs such as spleen and thymus, delayed type hypersensitivity response (DTH), and the susceptibility to infection and resistance to transplanted tumors. The ex vivo data contain the effects of chemicals on cytokine production, T cell-dependent antibody response in vitro, as well as cytotoxic T cell response, mixed lymphocyte reaction, and T cell mitogen-induced proliferation using immune cells from animals treated with the chemicals in vivo. The in vitro data demonstrated the effects of the chemicals on cytokine production or on T cell proliferation after mitogen stimulation using cells or tissues from non-treated animals. Using this information, we determined whether or not the chemicals TTCs by affecting T cell viability, proliferation or function, according to the rationale reported by Luster et al. (1992b) for classifying immunotoxic chemicals. Based on these criteria, the chemicals used in this validation study were classified as 16 TTCs, 8 NTTCs, and 1 chemical could not be classified (Appendix Table 3). Then, by comparing the results of the IL-2 Luc assay (positive or no effect) with the classification of the chemicals (TTC or NTTC), we calculated the accuracy, sensitivity and specificity of the IL-2 Luc assay in the validation study. In the Phase I study (Table 2), the accuracy was 80.0% (4/5), 100% (5/5), and 100% (5/5) in Lab. A, Lab. B, and Lab. C, respectively. The average was 93.3% (14/15). The sensitivity and specificity were 91.7% (11/12) and 100% (3/3), respectively. In the Phase II study (Table 3), the accuracy was 73.7 (14/19), 68.4% (13/19), and 68.4% (13/19) in Lab. A, Lab. B, and Lab. C, respectively. The average was 70.2% (40/57). The sensitivity was 75.0% (9/12), 66.7% (8/12), and 66.7% (8/12) in Lab. A, Lab. B, and Lab. C, respectively. The average was 69.4% (25/36). The specificity was 71.4% (5/7), 71.4% (5/7), and 71.4% (5/7) in Lab. A, Lab. B, and Lab. C, respectively. The average was 71.4% (15/21). In the combined results of the Phase I and Phase II studies (Table 4), the accuracy was 75.0% (18/24), 75.0% (18/24), and 75.0% (18/24) in Lab. A, Lab. B, and Lab. C, respectively. The average was 75.0% (54/ 72). The sensitivity was 75.0% (12/16), 75.0% (12/16), and 75.0% (12/16) in Lab. A, Lab. B, and Lab. C, respectively. The average 75.0% (36/48). The specificity was 75.0% (6/8), 75.0% (6/8), and 75.0% (6/ 8) in Lab. A, Lab. B, and Lab. C, respectively. The average was 75.0% (18/24). In addition, the lead laboratory reevaluated the data for the 60 chemicals reported previously (Kimura et al., 2018) by the same criteria used in the validation study. The classification of the 60 chemicals and their immunotoxicological information are summarized in Appendix Table 4. The chemicals were classified as 34 TTCs, 6 NTTCs, and 20 chemicals that lacked sufficient information to classify their immunotoxic activity. The performance of the IL-2 Luc assay examining these 60 chemicals for sensitivity, specificity and accuracy was 82.4% (28/34), 83.3% (5/6), and 82.5% (33/40), respectively. The lead laboratory also examined 31 of the 51 chemicals evaluated by Luster et al. (1992b) and thus we compared the results of the IL-2 Luc assay with their classification of immunotoxic chemicals in Appendix Table 5. Although the results were preliminary because of the limited number of chemicals used, the sensitivity, specificity and accuracy of the IL-2 Luc assay for these chemicals was 59.1% (13/22), 44.4% (4/9), and 54.8% (17/31) (Table 5).
Table 5

Data set for the IL-2 Luc assay.

Chemical nameImmunatoxicity classificationIL-2 Luc assayAve.LOEL(35%)Ave.LOEL(−35%)
ClassificationRationale[#]
FK506TTC1,3P0.0002
Cyclosporine ATTC1,3P0.0041
Actinomycin DTTC3P0.0156
DigoxinTTC2,3P0.0686
ColchicineTTC2,3P0.2743
FR167653Undetermined2,3P1.3021
Benzethonium chlorideUndetermined1P1.6276
Mercuric chlorideTTC1,3P1.9531
ChlorpromazineTTC1,3P1.9531
Amphotericin BUndetermined1P2.6042
Dibutyl phthalateTTC3P2.6042
2-AminoanthraceneUndeterminedP5.8594
FormaldehydeTTC2,3P7.8125
PyrimethamineUndeterminedP7.8125
Isophorone diisocyanateUndeterminedP15.6250
CisplatinTTC1,2,3P16.9271
Cobalt chlorideTTC1,3P16.9271
ChloroquineTTC1,3P17.8326
MinocyclineTTC3P18.5185
Mitomycin CUndeterminedP20.0000
Hydrogen peroxideTTC3P23.4375
CitralUndetermined1P25.0000
DexamethasoneTTC1,3P41.1692
Pentamidine isethionateTTC3P52.0833
Lead(ll)acetateTTC1,3P57.2917
AzathioprineTTC1,2,3P58.4778
Diesel exhaust particleTTC1,3P62.5000
Sodium dodecyl sulfateTTC3P62.5000
DapsoneTTC3P72.9167
NitrofurazoneNTTCP83.3333
p-NitroanilineTTC1,3P83.3333
SulfasalazineTTC1,3P92.9444
Aluminium chlorideTTC1,3P104.1667
Nickel sulfateTTC1,3P104.1667
HydrocortisoneTTC1,3P125
DiethanolamineUndetermined1P250.0000
ChloroplatinicacidUndeterminedP250.0000
Sodium bromateUndetermined1P500.0000
HistamineTTC3P750.0000
IsoniazidNTTC1N
TriethanolamineUndeterminedN
Magnesium sulfateUndeterminedN
RapamycinTTC1,3N
MizoribineUndeterminedN
WarfarinTTC3N
2,4-DiaminotolueneNTTCN
CyclophosphamideTTC1N*
DibenzopyreneUndeterminedN
EthanolTTC1, 3N
Hexachloro benzeneUndeterminedN
Lithium carbonateTTC1,3N
MethanolNTTCN
MethotrexateTTC3N
Dimethyl sulfoxideNTTCN
TrichloroethyleneNTTCN
MycophenolicacidUndeterminedP0.395061728
2-MercaptobenzothiazoleUndeterminedP16.11328125
RibavirinTTC1,3P26.04166667
NicotinamideUndeterminedP288.0658436
AcetaminophenUndeterminedP288.0658436

TTC: Immunotoxic chemicals targeting T cells, NTTC (Others), Undetermined: Undetermined because of insufficient or inconsistent reported data, P: Positive, N: No effect, Blue color: accurate, Red color: false, yellow color: cannot be judged by undetermined classification of chemicals.

The criterion number used to define immunotoxicity.

Cyclophosphamide needs metabolic activity to demonstrate the activity.

Discussion

We examined within-laboratory reproducibility in the Phase I study. Lab. A, Lab. B, and Lab. C demonstrated 80%, 100%, and 80% reproducibility, respectively. On the other hand, Lab. A, Lab. B, and Lab. C demonstrated 80% between-laboratory reproducibility in the combined data of the Phase I and Phase II studies. These results satisfied the acceptance criteria for the validation study with a within-laboratory reproducibility of at least 80% and a between-laboratory reproducibility of at least 80%. Reference data that indicate which chemicals are immunotoxic are indispensable for determining the performance of the IL-2 Luc assay. However, such reference data are lacking for most chemicals and thus we attempted to create reference data for the chemicals used in this study. Although there is no gold standard to date for identifying immunotoxic chemicals, Luster et al. (1992b) proposed a rationale for classifying immunotoxicants based on their ability to produce a significant dose-response effect in a single immune test or significantly alter two or more test results at the highest dose of the chemical tested. They classified chemicals based on the results obtained in immune tests according to this rationale and found a significant correlation between the judgment of immunotoxic chemicals and host resistance (Luster et al., 1993). Therefore, we used this rationale and classified chemicals based on the immunotoxicological information for each chemical published previously Then, by comparing the results of the IL-2 Luc assay (positive or no effect) with the reference database we created, we calculated the performance of the IL-2 Luc assay. The average of the accuracy of the combined results of the Phase I and Phase II studies was 75.0% (54/72), while the accuracy obtained using the 60 chemicals was 82.5% (33/40). In our previous study in which only immunosuppressive drugs whose effects on human have been well established were examined by the IL-2 Luc assay (Kimura et al., 2014), we demonstrated that tacrolimus (TAC), cyclosporine A (CyA) and dexamethasone (Dex) significantly suppressed IL-2 luciferase activity (IL-2 LA), although the average Lowest Observed Effect Levels (LOELs) of TAC and CyA were significantly lower that of DEX. The off-label immunosuppressive drugs chloroquine, minocycline, dapsone, and colchicine significantly suppressed IL-2 LA. The anti-cancer drugs actinomycin D and cisplatin and a representative immunosuppressive drug, azathioprine, also significantly suppressed IL-2 LA. No suppressive effects on IL-2 LA were demonstrated by several immunosuppressants whose mechanism of action is dependent on the inhibition of DNA synthesis or anti-proliferative effects on T cells, such as rapamycin, mizoribine, cyclophosphamide, methotrexate and mycophenolic acid. These data suggest that IL-2 LA is an assay most suitable to detect chemicals that affect cytokine production. The HWBCRA, previously examined in a rigorous prevalidation effort by ECVAM and other groups, is an immune test to examine the effects of chemicals on IL-4 or IL-1β production stimulated by staphylococcal enterotoxin B (SEB) or LPS, respectively (Langezaal et al., 2001, 2002). This assay uses human whole blood cells and examines the production of IL-4 by T cells and of IL-1β by monocytes. This concept is similar to that of the MITA, in which the effects of chemicals on T cells and monocytes are examined using Jurkat cell-derived 2H4 and THP-1derived THP-G1b cells. Interestingly, the evaluation of chemicals by IL-4 production in the HWBCRA was almost identical to the results of the IL-2 Luc assay: both detected strong immunosuppression by TAC, CyA, DEX and actinomycin D, which are more potent than chloroquine and azathioprine. The cardiac glycoside digoxin is classified as an immunotoxic chemical by both assays. Cyclophosphamide and mizoribine require metabolic activation and thus are not judged as immunosuppressive in either assay. In addition, the HWBCRA is also considered to be unsuitable for detecting immunotoxic chemicals whose effects are dependent on suppressing cell proliferation. The ability to similarly detect known immunosuppressive chemicals suggests that the IL-2 Luc assay may be a useful alternative to the HWBCRA for examining the effects of chemicals on T cells. In addition, the IL-2 Luc assay has a number of advantages over the HWBCRA, including: 1) The IL-2 Luc assay does not require primary cells, 2) it does not require cytokine quantification using ELISA, and 3) the time required for the IL-2 Luc assay is less than 8 h. However, similar to the HWBCRA, the IL-2 Luc assay cannot detect immunosuppression in chemicals whose effects depend on the suppression of cell proliferation or require metabolic activation. Therefore, these chemicals are considered as those out of applicability domain. Luster et al. (1988) proposed a screening battery using a ‘tier’ approach for detecting potential immunotoxic compounds in mice. Then, they defined criteria to classify immunotoxic chemicals using several parameters comprising the ‘tier approach’ and classified 51 chemicals into immunotoxic and non-immunotoxic compounds (Luster et al., 1992b). Furthermore, they examined the ability of various immune tests to predict increased susceptibility for a number of models of disease resistance (Luster et al., 1992a). Their final results demonstrated that: 1) A number of the immune tests provided a relatively high association with changes in host resistance (i.e., > 70%) such as IgM plaque forming cell (PFC) response to sheep red blood cells, T cell mitogen response, DTH, surface markers, and spleen cellularity. In contrast, several of the tests, such as leukocyte counts and lymphoproliferative response to lipopolysaccharide (LPS) were poor predictors, with concordance values of approximately 50%. 2) The combination of two immune tests compared with the host resistance classification increased the concordance from that obtained using individual tests. Pairwise combinations which included either the PFC response, surface markers, or DHRs gave consistently higher concordances. When the IL-2 Luc assay examined 31 of the 51 chemicals evaluated by Luster et al. (1992b), its performance was similar to that of mixed lymphocyte reaction (MLR), DHR, and spleen cellularity and better than leukocyte counts or LPS response. Moreover, among 7 chemicals judged as false negative by the IL-2 Luc assay, 5 chemicals was judged as positive by Luster et al. (1992b) based on their suppressive effects on T cell mitogen response. Since our previous study demonstrated the inability of the IL-2 Luc assay to detect immunosuppressive effects of chemicals which are dependent on their suppressive effects on T cell proliferation, these 5 chemicals are out of applicability domain. Taking this into account, the sensitivity, specificity and accuracy of the IL-2 Luc assay was 76.5% (13/17), 44.4% (4/9), and 65.4% (17/26). Thus, we would like to propose the MITA for in vitro testing to detect immunotoxic chemicals in future. The MITA can evaluate the effects of chemicals on IL-2, IFN-γ, IL-1β and IL-8 promoter activities. The induction of these cytokines is mediated by a wide range of signaling pathways, including as a minimum the MAP kinase, NF-kB, and calcium/calmodulin pathways. It is also well known that the induction of different immune-related molecules such as cytokines or chemokines commonly uses at least one of these signaling pathways. Therefore, although the MITA evaluates only the effects of chemicals on the transcription of four cytokines, it may be able to assess the effects of chemicals on a much wider range of immune responses. When combined with other in vitro assays, such as assessment of myelotoxicity or T cell mitogen responses, the predictivity of the MITA would be increased. Furthermore, the combination of the MITA with the IL-8 Luc assay (OECD442E) can evaluate the effects of chemicals on T cells and macrophages, and the sensitizing potentials of chemicals. The data obtained from these assays can be used by both industry and regulatory agencies to assess the immunotoxicity risks of chemicals.
  15 in total

1.  Whole blood cytokine response as a measure of immunotoxicity.

Authors:  I Langezaal; S Coecke; T Hartung
Journal:  Toxicol In Vitro       Date:  2001 Aug-Oct       Impact factor: 3.500

Review 2.  Qualitative and quantitative experimental models to aid in risk assessment for immunotoxicology.

Authors:  M I Luster; D G Pait; C Portier; G J Rosenthal; D R Germolec; C E Comment; A E Munson; K White; P Pollock
Journal:  Toxicol Lett       Date:  1992-12       Impact factor: 4.372

3.  The Use of In Vitro Systems for Evaluating Immunotoxicity: The Report and Recommendations of an ECVAM Workshop.

Authors:  Alessandra Gennari; Masarin Ban; Armin Braun; Silvia Casati; Emanuela Corsini; Jaroslaw Dastych; Jacques Descotes; Thomas Hartung; Robert Hooghe-Peters; Robert House; Marc Pallardy; Raymond Pieters; Lynnda Reid; Helen Tryphonas; Eric Tschirhart; Helga Tuschl; Rob Vandebriel; Laura Gribaldo
Journal:  J Immunotoxicol       Date:  2005-04-01       Impact factor: 3.000

4.  Approaches and considerations for the assessment of immunotoxicity for environmental chemicals: a workshop summary.

Authors:  Darrell R Boverhof; Greg Ladics; Bob Luebke; Jane Botham; Emanuela Corsini; Ellen Evans; Dori Germolec; Michael Holsapple; Scott E Loveless; Haitian Lu; Jan Willem van der Laan; Kimber L White; Yung Yang
Journal:  Regul Toxicol Pharmacol       Date:  2013-11-23       Impact factor: 3.271

5.  Nickel differentially regulates NFAT and NF-κB activation in T cell signaling.

Authors:  Rumiko Saito; Satoshi Hirakawa; Hiroshi Ohara; Makoto Yasuda; Tomomi Yamazaki; Shigeaki Nishii; Setsuya Aiba
Journal:  Toxicol Appl Pharmacol       Date:  2011-05-04       Impact factor: 4.219

6.  Evaluation of the Multi-ImmunoTox Assay composed of 3 human cytokine reporter cells by examining immunological effects of drugs.

Authors:  Yutaka Kimura; Chizu Fujimura; Yumiko Ito; Toshiya Takahashi; Setsuya Aiba
Journal:  Toxicol In Vitro       Date:  2014-03-04       Impact factor: 3.500

Review 7.  Development of a testing battery to assess chemical-induced immunotoxicity: National Toxicology Program's guidelines for immunotoxicity evaluation in mice.

Authors:  M I Luster; A E Munson; P T Thomas; M P Holsapple; J D Fenters; K L White; L D Lauer; D R Germolec; G J Rosenthal; J H Dean
Journal:  Fundam Appl Toxicol       Date:  1988-01

8.  Profiling the immunotoxicity of chemicals based on in vitro evaluation by a combination of the Multi-ImmunoTox assay and the IL-8 Luc assay.

Authors:  Yutaka Kimura; Chizu Fujimura; Yumiko Ito; Toshiya Takahashi; Hitoshi Terui; Setsuya Aiba
Journal:  Arch Toxicol       Date:  2018-03-29       Impact factor: 5.153

9.  Risk assessment in immunotoxicology. II. Relationships between immune and host resistance tests.

Authors:  M I Luster; C Portier; D G Pait; G J Rosenthal; D R Germolec; E Corsini; B L Blaylock; P Pollock; Y Kouchi; W Craig
Journal:  Fundam Appl Toxicol       Date:  1993-07

10.  Evaluation and prevalidation of an immunotoxicity test based on human whole-blood cytokine release.

Authors:  Ingrid Langezaal; Sebastian Hoffmann; Thomas Hartung; Sandra Coecke
Journal:  Altern Lab Anim       Date:  2002 Nov-Dec       Impact factor: 1.303

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  2 in total

Review 1.  Assessing Fish Immunotoxicity by Means of In Vitro Assays: Are We There Yet?

Authors:  Helmut Segner; Kristina Rehberger; Christyn Bailey; Jun Bo
Journal:  Front Immunol       Date:  2022-02-28       Impact factor: 7.561

2.  Optimization of the IL-2 Luc assay for immunosuppressive drugs: a novel in vitro immunotoxicity test with high sensitivity and predictivity.

Authors:  Yutaka Kimura; Hitoshi Terui; Chizu Fujimura; Ryo Amagai; Toshiya Takahashi; Setsuya Aiba
Journal:  Arch Toxicol       Date:  2021-06-27       Impact factor: 5.153

  2 in total

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