Cited by 123Animal testing and alternativesCarcinogens and Genotoxicity AssessmentEnvironmental Toxicology and Ecotoxicology

Cytotoxicity Burst? Differentiating Specific from Nonspecific Effects in Tox21 in Vitro Reporter Gene Assays

Open access
Escher, Beate I., Henneberger, Luise, König, Maria, Schlichting, Rita, Fischer, Fabian C.·2020·Environmental Health Perspectives

Abstract

BACKGROUND: High-throughput screening of chemicals with in vitro reporter gene assays in Tox21 has produced a large database on cytotoxicity and specific modes of action.However, the validity of some of the reported activities is questionable due to the "cytotoxicity burst," which refers to the supposition that many stress responses are activated in a nonspecific way at concentrations close to cell death.OBJECTIVES: We propose a pragmatic method to identify whether reporter gene activation is specific or cytotoxicity-triggered by comparing the measured effects with baseline toxicity.METHODS: Baseline toxicity, also termed narcosis, is the minimal toxicity any chemical causes.Quantitative structure-activity relationships (QSARs) developed for baseline toxicity in mammalian reporter gene cell lines served as anchors to define the chemical-specific threshold for the cytotoxicity burst and to evaluate the degree of specificity of the reporter gene activation.Measured 10% effect concentrations were related to measured or QSARpredicted 10% cytotoxicity concentrations yielding specificity ratios (SR).We applied this approach to our own experimental data and to ∼ 8,000 chemicals that were tested in six of the high-throughput Tox21 reporter gene assays.RESULTS: Confirmed baseline toxicants activated reporter gene activity around cytotoxic concentrations triggered by the cytotoxicity burst.In six Tox21 assays, 37%-87% of the active hits were presumably caused by the cytotoxicity burst (SR < 1) and only 2%-14% were specific with SR ≥ 10 against experimental cytotoxicity but 75%-97% were specific against baseline toxicity.This difference was caused by a large fraction of chemicals showing excess cytotoxicity.CONCLUSIONS: The specificity analysis for measured in vitro effects identified whether a cytotoxicity burst had likely occurred.The SR-analysis not only prevented false positives, but it may also serve as measure for relative effect potency and can be used for quantitative in vitro-in vivo extrapolation and risk assessment of chemicals.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1289/ehp6664

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • In the region near cytotoxic concentrations, oxidative stress, mitochondrial dysfunction, heat-shock responses, unfolded-protein signaling and loss of membrane integrity may occur in parallel, so that reporter gene or receptor-transactivation signals can reflect non-specific stress rather than a discrete molecular initiating event.

    “In this region, oxidative stress, mitochondrial dysfunction, heat-shock responses, unfolded-protein signaling and loss of membrane integrity may occur in parallel, so that reporter gene or receptor-transactivation signals can reflect non-specific stress rather than a discrete molecular initiating event (Judson et al., 2016; Escher et al., 2020).”

    From Cytotoxicity across OECD methods is not a single endpoint: context-dependent roles, variability and implications for decision-making (2026) · cites this paper as Escher et al., 2020

    Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

    Experimental — accuracy not yet measured
  • Analyses of ToxCast and Tox21 data showed that chemicals may activate multiple, unrelated assay endpoints close to cytotoxic concentrations, indicating a transition from specific bioactivity to generalized cellular stress.

    “Analyses of ToxCast and Tox21 data showed that chemicals may activate multiple, unrelated assay endpoints close to cytotoxic concentrations, indicating a transition from specific bioactivity to generalized cellular stress (Judson et al., 2016; Escher et al., 2020).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 51

  1. Bittermann K, Spycher S, Goss KU 2016. Comparison of different models predicting the phospholipid-membrane water partition coefficients of charged compounds. Chemosphere 144: 382– 391, PMID: 26383265, 10.1016/j.chemosphere.2015.08.065. 26383265 · DOI
  2. Brennan JC, He G, Tsutsumi T, Zhao J, Wirth E, Fulton MH, et al. 2015. Development of species-specific ah receptor-responsive third generation CALUX cell lines with enhanced responsiveness and improved detection limits. Environ Sci Technol 49(19): 11903– 11912, PMID: 26366531, 10.1021/acs.est.5b02906. 26366531 PMC4772899 · DOI
  3. Burden N, Mahony C, Müller BP, Terry C, Westmoreland C, Kimber I 2015. Aligning the 3Rs with new paradigms in the safety assessment of chemicals. Toxicology 330: 62– 66, PMID: 25932488, 10.1016/j.tox.2015.01.014. 25932488 · DOI
  4. Endo S, Escher BI, Goss K-U 2011. Capacities of membrane lipids to accumulate neutral organic chemicals. Environ Sci Technol 45(14): 5912– 5921, PMID: 21671592, 10.1021/es200855w. 21671592 · DOI
  5. Escher BI, Abagyan R, Embry M, Klüver N, Redman AD, Zarfl C, et al. 2020. Recommendations for improving methods and models for aquatic hazard assessment of ionizable organic chemicals. Environ Toxicol Chem 39(2): 269– 286, PMID: 31569266, 10.1002/etc.4602. 31569266 · DOI
  6. Escher BI, Baumer A, Bittermann K, Henneberger L, König M, Kühnert C, et al. 2017. General baseline toxicity QSAR for non-polar, polar and ionisable chemicals and their mixtures in the bioluminescence inhibition assay with Aliivibrio fischeri. Environ Sci: Processes Impacts 19(3): 414– 428, PMID: 28197603, 10.1039/C6EM00692B. 28197603 · DOI
  7. Escher BI, Dutt M, Maylin E, Tang JYM, Toze S, Wolf CR, et al. 2012. Water quality assessment using the AREc32 reporter gene assay indicative of the oxidative stress response pathway. J Environ Monit 14(11): 2877– 2885, PMID: 23032559, 10.1039/c2em30506b. 23032559 · DOI
  8. Escher BI, Glauch L, König M, Mayer P, Schlichting R 2019. Baseline toxicity and volatility cutoff in reporter gene assays used for high-throughput screening. Chem Res Toxicol 32(8): 1646– 1655, PMID: 31313575, 10.1021/acs.chemrestox.9b00182. 31313575 · DOI
  9. Escher BI, Neale PA, Villeneuve D 2018. The advantages of linear concentration–response curves for in vitro bioassays with environmental samples. Environ Toxicol Chem 37(9): 2273– 2280, PMID: 29846006, 10.1002/etc.4178. 29846006 PMC6150494 · DOI
  10. Fay KA, Villeneuve DL, Swintek J, Edwards SW, Nelms MD, Blackwell BR, et al. 2018. Differentiating pathway-specific from nonspecific effects in high-throughput toxicity data: a foundation for prioritizing adverse outcome pathway development. Toxicol Sci 163(2): 500– 515, PMID: 29529260, 10.1093/toxsci/kfy049. 29529260 PMC6820004 · DOI
  11. Filer DL, Kothiya P, Setzer RW, Judson RS, Martin MT 2016 tcpl: the ToxCast pipeline for high-throughput screening data. Bioinformatics 33(4): 618– 620, 10.1093/bioinformatics/btw1680. 27797781 · DOI
  12. Fischer FC, Cirpka O, Goss K-U, Henneberger L, Escher BI 2018. Application of experimental polystyrene partition constants and diffusion coefficients to predict the sorption of organic chemicals to well plates in in vitro bioassays. Environ Sci Technol 52(22): 13511– 13522, PMID: 30298728, 10.1021/acs.est.8b04246. 30298728 · DOI
  13. Fischer FC, Henneberger L, König M, Bittermann K, Linden L, Goss K-U, et al. 2017. Modeling exposure in the Tox21 in vitro bioassays. Chem Res Toxicol 30(5): 1197– 1208, PMID: 28316234, 10.1021/acs.chemrestox.7b00023. 28316234 · DOI
  14. Fischer FC, Henneberger L, Schlichting R, Escher BI 2019. How to improve the dosing of chemicals in high-throughput in vitro mammalian cell assays. Chem Res Toxicol 32(8): 1462– 1468, PMID: 31328914, 10.1021/acs.chemrestox.9b00167. 31328914 · DOI
  15. He GC, Tsutsumi T, Zhao B, Baston DS, Zhao J, Heath-Pagliuso S, et al. 2011. Third-generation Ah receptor-responsive luciferase reporter plasmids: amplification of dioxin-responsive elements dramatically increases CALUX bioassay sensitivity and responsiveness. Toxicol Sci 123(2): 511– 522, PMID: 21775728, 10.1093/toxsci/kfr189. 21775728 PMC3179681 · DOI
  16. Henneberger L, Mühlenbrink M, Fischer FC, Escher BI 2019. C18-coated solid-phase microextraction fibers for the quantification of partitioning of organic acids to proteins, lipids, and cells. Chem Res Toxicol 32(1): 168– 178, PMID: 30585484, 10.1021/acs.chemrestox.8b00249. 30585484 · DOI
  17. Henneberger L, Mühlenbrink M, Heinrich D, Teixeira A, Nicol B, Escher BI 2020. Experimental validation of mass balance models for in vitro cell-based bioassays. Environ Sci Technol 54(2): 1120– 1127, PMID: 31852189, 10.1021/acs.est.9b06144. 31852189 · DOI
  18. Hsieh J-H, Huang R, Lin J-A, Sedykh A, Zhao J, Tice RR, et al. 2017 Real-time cell toxicity profiling of Tox21 10K compounds reveals cytotoxicity dependent toxicity pathway linkage. PLoS One 12(7): e0181291, 10.1371/journal.pone.0181291. 28531190 PMC5439695 · DOI
  19. Hu B, Gifford E, Wang H, Bailey W, Johnson T 2015. Analysis of the ToxCast chemical-assay space using the Comparative Toxicogenomics Database. Chem Res Toxicol 28(11): 2210– 2223, PMID: 26505644, 10.1021/acs.chemrestox.5b00369. 26505644 · DOI
  20. Huang R, Sakamuru S, Martin MT, Reif DM, Judson RS, Houck KA, et al. 2014. Profiling of the Tox21 10K compound library for agonists and antagonists of the estrogen receptor alpha signaling pathway. Sci Rep 4: 5664– 5664, PMID: 25012808, 10.1038/srep05664. 25012808 PMC4092345 · DOI
  21. Judson RS, Houck KA, Kavlock RJ, Knudsen TB, Martin MT, Mortensen HM, et al. 2010. In vitro screening of environmental chemicals for targeted testing prioritization: the ToxCast project. Environ Health Perspect 118(4): 485– 492, PMID: 20368123, 10.1289/ehp.0901392. 20368123 PMC2854724 · DOI
  22. Judson RS, Houck KA, Martin MT, Richard AM, Knudsen TB, Shah I, et al. 2016. Analysis of the effects of cell stress and cytotoxicity on in vitro assay activity across a diverse chemical and assay space. Toxicol Sci 152(2): 323– 339, PMID: 27208079, 10.1093/toxsci/kfw092. 27208079 PMC6280881 · DOI · Paper page
  23. Kienzler A, Barron MG, Belanger SE, Beasley A, Embry MR 2017. Mode of action (MOA) assignment classifications for ecotoxicology: an evaluation of approaches. Environ Sci Technol 51(17): 10203– 10211, PMID: 28759717, 10.1021/acs.est.7b02337. 28759717 · DOI
  24. Kleinstreuer NC, Allen D, Casey WM 2015 Using ToxCast/Tox21 HTS assays to assess endocrine disruption. Birth Defects Research Part A-Clinical and Molecular Teratology. 103: 395, 10.1002/bdra.23387. · DOI
  25. Klüver N, Bittermann K, Escher BI 2019 QSAR for baseline toxicity and classification of specific modes of action of ionizable chemicals in the zebrafish embryo toxicity test. Aquat Toxicol 207: 110– 119, 10.1016/j.aquatox.2018.12.003. 30557756 · DOI
  26. König M, Escher BI, Neale PA, Krauss M, Hilscherová K, Novák J, et al. 2017. Impact of untreated wastewater on a major European river evaluated with a combination of in vitro bioassays and chemical analysis. Environ Pollut 220: 1220– 1230, PMID: 27884472, 10.1016/j.envpol.2016.11.011. 27884472 · DOI
  27. Krewski D, Andersen ME, Tyshenko MG, Krishnan K, Hartung T, Boekelheide K, et al. 2020. Toxicity testing in the 21st century: progress in the past decade and future perspectives. Arch Toxicol 94(1): 1– 58, PMID: 31848664, 10.1007/s00204-019-02613-4. 31848664 · DOI
  28. Kwon JH, Liljestrand HM, Katz LE 2006. Partitioning of moderately hydrophobic endocrine disruptors between water and synthetic membrane vesicles. Environ Toxicol Chem 25(8): 1984– 1992, PMID: 16916015, 10.1897/05-550r.1. 16916015 · DOI
  29. Maeder V, Escher BI, Scheringer M, Hungerbuhler K 2004. Toxic ratio as an indicator of the intrinsic toxicity in the assessment of persistent, bioaccumulative, and toxic chemicals. Environ Sci Technol 38(13): 3659– 3666, PMID: 15296318, 10.1021/es0351591. 15296318 · DOI
  30. Martin MT, Dix DJ, Judson RS, Kavlock RJ, Reif DM, Richard AM, et al. 2010. Impact of environmental chemicals on key transcription regulators and correlation to toxicity end points within EPA’s ToxCast program. Chem Res Toxicol 23(3): 578– 590, PMID: 20143881, 10.1021/tx900325g. 20143881 · DOI
  31. Murk AJ, Legler J, Denison MS, Giesy JP, van de Guchte C, Brouwer A 1996. Chemical-activated luciferase gene expression (CALUX): a novel in vitro bioassay for Ah receptor active compounds in sediments and pore water. Fundam Appl Toxicol 33(1): 149– 160, PMID: 8812260, 10.1093/toxsci/33.1.149. 8812260 · DOI
  32. National Research Council. 2007 Toxicity Testing in the 21st Century: A Vision and a Strategy. Washington, DC: National Academies Press.
  33. Neale PA, Altenburger R, Aït-Aïssa S, Brion F, Busch W, de Aragão Umbuzeiro G, et al. 2017. Development of a bioanalytical test battery for water quality monitoring: fingerprinting identified micropollutants and their contribution to effects in surface water. Water Res 123: 734– 750, PMID: 28728110, 10.1016/j.watres.2017.07.016. 28728110 · DOI
  34. Pham N, Iyer S, Hackett E, Lock BH, Sandy M, Zeise L, et al. 2016. Using ToxCast to explore chemical activities and hazard traits: a case study with ortho-phthalates. Toxicol Sci 151(2): 286– 301, PMID: 26969370, 10.1093/toxsci/kfw049. 26969370 · DOI
  35. Prassas I, Karagiannis GS, Batruch I, Dimitromanolakis A, Datti A, Diamandis EP 2011. Digitoxin-induced cytotoxicity in cancer cells is mediated through distinct kinase and interferon signaling networks. Mol Cancer Ther 10(11): 2083– 2093, PMID: 21859838, 10.1158/1535-7163.MCT-11-0421. 21859838 · DOI
  36. Reif DM, Martin MT, Tan SW, Houck KA, Judson RS, Richard AM, et al. 2010. Endocrine profiling and prioritization of environmental chemicals using ToxCast data. Environ Health Perspect 118(12): 1714– 1720, PMID: 20826373, 10.1289/ehp.1002180. 20826373 PMC3002190 · DOI
  37. Richard AM, Judson RS, Houck KA, Grulke CM, Volarath P, Thillainadarajah I, et al. 2016. ToxCast chemical landscape: paving the road to 21st century toxicology. Chem Res Toxicol 29(8): 1225– 1251, PMID: 27367298, 10.1021/acs.chemrestox.6b00135. 27367298 · DOI
  38. Sipes NS, Martin MT, Kothiya P, Reif DM, Judson RS, Richard AM, et al. 2013. Profiling 976 ToxCast chemicals across 331 enzymatic and receptor signaling assays. Chem Res Toxicol 26(6): 878– 895, PMID: 23611293, 10.1021/tx400021f. 23611293 PMC3685188 · DOI
  39. Sipes NS, Wambaugh JF, Pearce R, Auerbach SS, Wetmore BA, Hsieh JH, et al. 2017. An intuitive approach for predicting potential human health risk with the Tox21 10k library. Environ Sci Technol 51(18): 10786– 10796, PMID: 28809115, 10.1021/acs.est.7b00650. 28809115 PMC5657440 · DOI
  40. Thomas RS, Bahadori T, Buckley TJ, Cowden J, Deisenroth C, Dionisio KL, et al. 2019. The next generation blueprint of computational toxicology at the U.S. Environmental Protection Agency. Toxicol Sci 169(2): 317– 332, PMID: 30835285, 10.1093/toxsci/kfz058. 30835285 PMC6542711 · DOI
  41. Thomas RS, Philbert MA, Auerbach SS, Wetmore BA, Devito MJ, Cote I, et al. 2013. Incorporating new technologies into toxicity testing and risk assessment: moving from 21st century vision to a data-driven framework. Toxicol Sci 136(1): 4– 18, PMID: 23958734, 10.1093/toxsci/kft178. 23958734 PMC3829570 · DOI
  42. Tice RR, Austin CP, Kavlock RJ, Bucher JR 2013. Improving the human hazard characterization of chemicals: a Tox21 update. Environ Health Perspect 121(7): 756– 765, PMID: 23603828, 10.1289/ehp.1205784. 23603828 PMC3701992 · DOI
  43. Vaes WH, Ramos EU, Hamwijk C, van Holsteijn I, Blaauboer BJ, Seinen W, et al. 1997. Solid phase microextraction as a tool to determine membrane/water partition coefficients and bioavailable concentrations in in vitro systems. Chem Res Toxicol 10(10): 1067– 1072, PMID: 9348427, 10.1021/tx970109t. 9348427 · DOI
  44. Vaes WHJ, Ramos EU, Verhaar HJM, Hermens J 1998 Acute toxicity of nonpolar versus polar narcosis: is there a difference? Environ Toxicol Chem 17(7): 1380– 1384, 10.1002/etc.5620170723. · DOI
  45. van der Heijden SA, Jonker M 2009. Evaluation of liposome-water partitioning for predicting bioaccumulation potential of hydrophobic organic chemicals. Environ Sci Technol 43(23): 8854– 8859, PMID: 19943657, 10.1021/es902278x. 19943657 · DOI
  46. van Wezel AP, Opperhuizen A 1995. Narcosis due to environmental pollutants in aquatic organisms: residue-based toxicity, mechanisms, and membrane burdens. Crit Rev Toxicol 25(3): 255– 279, PMID: 7576154, 10.3109/10408449509089890. 7576154 · DOI
  47. Verhaar HJM, Solbé J, Speksnijder J, van Leeuwen CJ, Hermens J 2000. Classifying environmental pollutants: part 3. External validation of the classification system. Chemosphere 40(8): 875– 883, PMID: 10718581, 10.1016/S0045-6535(99)00317-3. 10718581 · DOI
  48. Verhaar HJM, Van Leeuwen CJ, Hermens J 1992 Classifying environmental pollutants. Chemosphere 25(4): 471– 491, 10.1016/0045-6535(92)90280-5. 10718581 · DOI
  49. Vinken M, Blaauboer BJ 2017. In vitro testing of basal cytotoxicity: establishment of an adverse outcome pathway from chemical insult to cell death. Toxicol In Vitro 39: 104– 110, PMID: 27939612, 10.1016/j.tiv.2016.12.004. 27939612 PMC5608076 · DOI
  50. Watt ED, Judson RS 2018. Uncertainty quantification in ToxCast high throughput screening. PLoS One 13(7): e0196963, PMID: 30044784, 10.1371/journal.pone.0196963. 30044784 PMC6059398 · DOI
  51. Wetmore BA 2015. Quantitative in vitro-to-in vivo extrapolation in a high-throughput environment. Toxicology 332: 94– 101, PMID: 24907440, 10.1016/j.tox.2014.05.012. 24907440 · DOI

Cited by

Sorted by citations

Authors
Escher, B. I., Henneberger, L., König, M., Schlichting, R., & Fischer, F. C.
Affiliations
Helmholtz Centre for Environmental Research (DE)
Corresponding author
Escher, Beate I.
Venue
Environmental Health Perspectives
Published
2020-07
Volume
128
Issue
7
Pages
77007-77007
ISSN
  • 0091-6765 (ISSN-L)
  • 1552-9924
OpenAlex
W3044039596
Cited by
123
References
2
Citations by year
2026: 33 · 2025: 17 · 2024: 25 · 2023: 13 · 2022: 16 · 2021: 17 · 2020: 2
FWCI
11.12
Type
journal article
Language
en
Open access
Licence
public-domain
Locations
  • Environmental Health Perspectives (publishedVersion, public-domain)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • European Chemical Industry Council (ECO36)
  • Danmarks Tekniske Universitet
Topics
  • Health Sciences › Veterinary › Small Animals › Animal testing and alternatives
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Carcinogens and Genotoxicity Assessment
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Environmental Toxicology and Ecotoxicology
Keywords
baseline toxicity, narcosis, Tox21, reporter gene assay, QSAR, false positives, in vitro-in vivo extrapolation, risk assessment, high-throughput screening
MeSH terms
Biological Assay, Humans, Genes, Reporter, Toxicity Tests, Quantitative Structure-Activity Relationship

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review