Evidence map›Paper›PMID 30856453›Full record

ReviewEnvironment international2019

Membrane transporter data to support kinetically-informed chemical risk assessment using non-animal methods: Scientific and regulatory perspectives.

Laure-Alix Clerbaux, Alicia Paini, Annie Lumen, Hanan Osman-Ponchet, Andrew P Worth, Olivier Fardel

Open access · goldAbstract readReview
In one paragraph

Review in Environment international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 12% of its field
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

6 citing papers in PubMed, 31 citations in OpenAlex.

  1. ISTransbase: an online database for inhibitor and substrate of drug transporters.Database : the journal of biological databases and curation · 2024
    Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Active Transport of Hepatotoxic Pyrrolizidine Alkaloids in HepaRG Cells.International journal of molecular sciences · 2021
    Article
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

6 authors at 5 institutions in 4 countries.

Laure-Alix ClerbauxEuropean Commission, Joint Research Centre, Ispra, Italy.
Alicia PainiEuropean Commission, Joint Research Centre, Ispra, Italy. Electronic address: alicia.paini@ec.europa.eu.
Annie LumenNational Center for Toxicological Research, US Food and Drug Administration (FDA), Jefferson, AR, USA.
Hanan Osman-PonchetPKDERM SAS, Grasse Biotech, France.
Andrew P WorthEuropean Commission, Joint Research Centre, Ispra, Italy.
Olivier FardelUniv Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environment et travail), UMR_S 1085, F-35000 Rennes, France.
Joint Research Centre · ITEuropean Commission · BEInserm · FRNational Center for Toxicological Research · USParis Biotech Santé · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans are continuously exposed to low levels of thousands of industrial chemicals, most of which are poorly characterised in terms of their potential toxicity. The new paradigm in chemical risk assessment (CRA) aims to rely on animal-free testing, with kinetics being a key determinant of toxicity when moving from traditional animal studies to integrated in vitro-in silico approaches. In a kinetically informed CRA, membrane transporters, which have been intensively studied during drug development, are an essential piece of information. However, how existing knowledge on transporters gained in the drug field can be applied to CRA is not yet fully understood. This review outlines the opportunities, challenges and existing tools for investigating chemical-transporter interactions in kinetically informed CRA without animal studies. Various environmental chemicals acting as substrates, inhibitors or modulators of transporter activity or expression have been shown to impact TK, just as drugs do. However, because pollutant concentrations are often lower in humans than drugs and because exposure levels and internal chemical doses are not usually known in contrast to drugs, new approaches are required to translate transporter data and reasoning from the drug sector to CRA. Here, the generation of in vitro chemical-transporter interaction data and the development of transporter databases and classification systems trained on chemical datasets (and not only drugs) are proposed. Furtheremore, improving the use of human biomonitoring data to evaluate the in vitro-in silico transporter-related predicted values and developing means to assess uncertainties could also lead to increase confidence of scientists and regulators in animal-free CRA. Finally, a systematic characterisation of the transportome (quantitative monitoring of transporter abundance, activity and maintenance over time) would reinforce confidence in the use of experimental transporter/barrier systems as well as in established cell-based toxicological assays currently used for CRA.

Indexed as

Animal Testing AlternativesEnvironmental MonitoringEnvironmental PollutantsHumansKineticsMembrane Transport ProteinsRisk AssessmentEnvironmental PollutantsMembrane Transport Proteins

Identifiers

PMID30856453
PMCPMC6441651
OpenAlexW2922497780

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.