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Enregistrement W4324130019 · doi:10.1002/em.22537

Letter to “Chepelev et al. Establishing a quantitative framework for regulatory interpretation of genetic toxicity dose–response data: Margin of exposure case study of 48 compounds with both in vivo mutagenicity and carcinogenicity dose–response data”

2023· letter· en· W4324130019 sur OpenAlexaboutno aff
Chad M. Thompson, Deborah M. Proctor, Mark Anglin Harris

Notice bibliographique

RevueEnvironmental and Molecular Mutagenesis · 2023
Typeletter
Langueen
DomaineEnvironmental Science
ThématiqueChromium effects and bioremediation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMicronucleus testCarcinogenIn vivoPotencyMicronucleusGenotoxicityMutagenesisToxicologyToxicityPharmacologyBiologyMutagenChemistryGeneticsIn vitroMutationGene

Résumé

récupéré en direct d'OpenAlex

We read with great interest the recent article by Chepelev et al. (2023) in Environmental and Molecular Mutagenesis. The study expands upon previous important work investigating the relationship between carcinogenic and genotoxic potency of several carcinogens (Soeteman-Hernandez et al., 2016). We were surprised to find sodium dichromate (i.e., hexavalent chromium [Cr(VI)]) among the 48 chemicals investigated by Chepelev et al. despite our previous publication highlighting issues with the inclusion of Cr(VI) in Soeteman-Hernandez et al. (2016), including the choice of genotoxic endpoint and data indicating that the genotoxic potency of Cr(VI) is likely lower (i.e., higher benchmark dose) than the carcinogenic potency (Thompson et al., 2016). Cr(VI) is a site of contact carcinogen in rodents following oral exposure, inducing tumors in the oral cavity of rats and small intestine of mice (NTP, 2008). Transgenic rodent mutation assays in both rats and mice in target tissues are negative, as are micronucleus assays in the crypts of the mouse small intestine (Thompson et al., 2021). Multiple in vivo blood and bone marrow micronucleus studies in rodents are negative following oral exposure, with the notable exception of results in the am3-C57BL/6 strain of mice (NTP, 2007; Thompson et al., 2021), which Soeteman-Hernandez et al. (2016) and now Chepelev et al. use as a benchmark for in vivo genotoxic potency of Cr(VI). As discussed in Thompson et al. (2016), we were unable to find any micronucleus studies in am3-C57BL/6 mice aside from Cr(VI) thereby calling into question the validity of using results from this strain as a benchmark for the genotoxic potency of Cr(VI), especially when there are several negative in vivo micronucleus assays (Thompson et al., 2021). Notably, NTP (2007) reported only the combined results of two am3-C57BL/6 assays as positive, even though their website indicates that one study was negative.1 Soeteman-Hernandez et al. (2016) and Chepelev et al. appear to have only modeled the positive am3-C57BL/6 assay. Moreover, in vivo genotoxicity data published before 2016 and since indicate that the tumors in NTP (2008) are not the result of a genotoxic mode of action (Thompson et al., 2021), but rather sustained intestinal injury in mice (Bhat et al., 2020) and unknown mechanisms in rats. Chepelev et al. also highlight Cr(VI) as having margin of exposure (MOE) values ≤10,000; however, the exposure estimate the authors used was conservatively set to 0.1 mg/kg/day due to the supposed lack of exposure data. However, most chromium in biota is likely trivalent chromium due to the presence of reducing agents in gastric fluid and cells. Most chromium in groundwater sources is Cr(VI) (Seidel & Corwin, 2013) and US Environmental Protection Agency's (EPA) own environmental monitoring data indicate median and 95th percentile Cr(VI) levels of 0.001 and 0.003 ppm,2 respectively, resulting in daily exposures on the order of 3E-5 to 9E-5 mg/kg/day. Adjusting the dichromate benchmark dose lower confidence limit (BMDL) for intestinal tumors in mice listed in Table 1 of Chepelev et al. to Cr(VI) results in MOE values above 10,000, as does our previous analyses on the oral tumors in rats (Thompson et al., 2018). Notably, Health Canada (2016) lists estimated daily exposures to Cr(VI) as 0.065 μg/kg/day, which also results in MOEs >10,000. The MOE calculations for Cr(VI) based on genotoxicity by Chepelev et al. are also questionable based on the exposure estimate and the BMDL used for genotoxicity potency (see above). Notably, several regulatory bodies have developed threshold-based oral toxicity values and/or water standards for Cr(VI) using data described in the review articles cited herein (FSCJ, 2019; Health Canada, 2016; TCEQ, 2016; WHO, 2020). Thompson et al. (2016) previously raised issues related to the inclusion of Cr(VI) in analyses by Soeteman-Hernandez et al. (2016), and do so again regarding the important analyses in Chepelev et al. (2023). Chad M. Thompson drafted the letter. Deborah M. Proctor and Mark A. Harris reviewed and edited the letter. This letter was supported by The Hexavalent Chromium Panel of the American Chemistry Council (ACC). The authors' employment affiliations are shown in the title page. ToxStrategies is a private consulting firm providing services to private and public organizations on toxicology and risk assessment issues. There are no conflicts of interest for any of the authors to disclose related to the submission of this letter. None of the authors are currently engaged to testify as experts on behalf of the sponsors in litigation related to Cr(VI). The authors have participated in meetings with the EPA and other agencies, on behalf of ACC, to discuss the current state of the science for Cr(VI) and the need to consider mode of action data in a risk assessment for Cr(VI).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,852
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,021
Tête enseignante GPT0,272
Écart entre enseignants0,251 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2023
Routes d'admission1
Résumé présentoui

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