Evidence map›Paper›PMID 42304516›Full record

ArticleBMC pharmacology & toxicology2026

Analysis of in vitro profiling data of cosmetic ingredients within the Tox21 10K compound library for bioactivity and potential toxicity.

Laken Kruger, Deborah K Ngan, Tuan Xu, Menghang Xia, Stephen S Ferguson, David M Reif, Anton Simeonov, Ruili Huang

Abstract read
In one paragraph

Article in BMC pharmacology & toxicology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Laken KrugerDivision of Preclinical Innovation (DPI), National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), 9800 Medical Center Drive, Rockville, MD, 20850, USA.
Deborah K NganDivision of Preclinical Innovation (DPI), National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), 9800 Medical Center Drive, Rockville, MD, 20850, USA.
Tuan XuDivision of Preclinical Innovation (DPI), National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), 9800 Medical Center Drive, Rockville, MD, 20850, USA.
Menghang XiaDivision of Preclinical Innovation (DPI), National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), 9800 Medical Center Drive, Rockville, MD, 20850, USA.
Stephen S FergusonDivision of Translational Toxicology, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Research Triangle Park, NC, USA.
David M ReifDivision of Translational Toxicology, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Research Triangle Park, NC, USA.
Anton SimeonovDivision of Preclinical Innovation (DPI), National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), 9800 Medical Center Drive, Rockville, MD, 20850, USA.
Ruili HuangDivision of Preclinical Innovation (DPI), National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), 9800 Medical Center Drive, Rockville, MD, 20850, USA. huangru@mail.nih.gov.

Funding

NIEHS NIH HHS Y02 ES007020NIEHS NIH HHS #Y2-ES-7020-01
6 · The paper itself

Abstract

backgroundCosmetics are defined by the U.S. Food and Drug Administration (FDA) as "articles intended to be rubbed, poured, sprinkled, or sprayed on, introduced into, or otherwise applied to the human body…for cleansing, beautifying, promoting attractiveness, or altering the appearance". However, the safety of cosmetic ingredients is the responsibility of the manufacturer and exposure to some of these chemicals can result in unintentional harmful effects in humans. Thus, some states are banning specific chemicals, at the state legislation level, from being used in cosmetics, which includes known endocrine disruptors such as dibutyl phthalate, diethylhexyl phthalate, and per- and polyfluoroalkyl substances (PFAS). In this study, we aim to determine the toxicity pathways significantly affected by the cosmetic ingredients (both banned and non-banned), compared to the non-cosmetics compounds in the Tox21 10K library.

methodsThe Tox21 10K compound library (which includes 113 banned, 927 non-banned cosmetic ingredients and 8,185 non-cosmetic compounds) was previously screened against a panel of ~ 90 cell-based and biochemical assays. The hit rates (i.e., the percentage of compounds active in an assay) of the cosmetic and non-cosmetic compounds, as well as banned and non-banned compounds, in each Tox21 assay were compared using a Fisher's exact test, and a p-value < 0.05 was considered statistically significant.

resultsWe found that the evaluated cosmetic compounds were significantly more active in 11 antagonist mode assays and 23 agonist mode assays compared to the non-cosmetic compounds. The banned compounds were significantly more active in 7 antagonist mode and 6 agonist mode assays compared to the non-banned compounds. The targets of the antagonist assays included enzymes such as CYP2C19 and aromatase (CYP19A1), and the agonist assays included the Keap1/Nrf2 antioxidant response element pathway.

conclusionsIn the present study, we compared the bioactivity profiles of cosmetic ingredients and non-cosmetic compounds (not used in cosmetics), as well as the banned and non-banned cosmetic ingredients, across the Tox21 assays. The analyses revealed distinct molecular pathways for these chemicals which furthers our mechanistic understanding of cosmetics ingredient toxicity and may help direct the selection of cosmetic ingredients in the future with potentially less bioactivity. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

CosmeticsAnimalsHumansToxicity TestsCosmeticsCosmeticsIn vitro assayPFASPhthalatesTox21

Identifiers

PMID42304516
PMCPMC13508416

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.