PBK modelling of phthalates and their metabolites and the application in next generation risk assessment.

Miaoying Shi, Ans Punt, Gopal Pawar, Shuo Yang, Hui Yang, Xudong Jia, Dawei Tang

Abstract read

In one paragraph

Article in Archives of 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.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

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

The trial behind it

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

7 authors.

Miaoying ShiNHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, 100021, China.ORCID http://orcid.org/0000-0002-9159-1461

Ans PuntSafety, Environmental and Regulatory Science (SERS), Unilever Colworth Science Park, Sharnbrook, UK.

Gopal PawarSafety, Environmental and Regulatory Science (SERS), Unilever Colworth Science Park, Sharnbrook, UK.

Shuo YangSafety, Environmental and Regulatory Science (SERS), Unilever Colworth Science Park, Sharnbrook, UK.

Hui YangNHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, 100021, China.

Xudong JiaNHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, 100021, China. jiaxudong@cfsa.net.cn.

Dawei TangSafety, Environmental and Regulatory Science (SERS), Unilever Colworth Science Park, Sharnbrook, UK. Dawei.Tang@unilever.com.ORCID http://orcid.org/0009-0005-9844-9918

Funding

National Natural Science Foundation of China No.32502367

6 · The paper itself

Abstract

Next generation risk assessment (NGRA) has substantially contributed to development of animal-free chemical risk assessment by integrating new approach methodologies. The present study aimed to further expand the applicability of NGRA to compounds with bioactive metabolites, using dibutyl phthalate (DBP) and di(2-ethylhexyl) phthalate (DEHP) as case studies. Physiologically based kinetic (PBK) models were developed for DBP, DEHP and their primary metabolites mono-butyl phthalate and mono-(2-ethylhexyl) phthalate by using in silico and in vitro-derived parameters, including measured metabolic clearance obtained by performing in vitro liver microsomal incubations. Models were evaluated against observed kinetic data and used to predict plasma maximum concentrations (C

Indexed as

Bioactive metabolitesNew approach methodologiesNext generation risk assessmentPhthalatesPhysiologically based kinetic modelling

Identifiers

PMID42363979

DOI10.1007/s00204-021-03015-1

What Socratic holds

Textmetadata

Read underepoch 390

Registered trials

None linked

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.