Evidence map›Paper›PMID 38552718›Full record

ReviewNeurotoxicology2024

How neurobehavior and brain development in alternative whole-organism models can contribute to prediction of developmental neurotoxicity.

Eva-Maria S Collins, Ellen V S Hessel, Samantha Hughes

Open access · greenAbstract readReview
In one paragraph

Review in Neurotoxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
9.6field-weighted citation impact, top 1% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Advances in ecotoxicological research using planarians: a comprehensive review.Environmental science and pollution research international · 2026
    Review
  4. Article
  5. Viability ofmicroPublication biology · 2026
    Article
  6. Article
  7. Rapid behavioral screening in the planarianFrontiers in toxicology · 2026
    Article
  8. Statistical analysis of multi-endpoint phenotypic screening increases sensitivity of planarian neurotoxicity testing.Toxicological sciences : an official journal of the Society of Toxicology · 2025
    Article
  9. Article
  10. Article
  11. 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

3 authors at 3 institutions in 2 countries.

Eva-Maria S CollinsSwarthmore College, Biology, 500 College Avenue, Swarthmore, PA 19081, USA; Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Center of Excellence in Environmental Toxicology, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: ecollin3@swarthmore.edu.
Ellen V S HesselCentre for Health Protection, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, Bilthoven, 3721 MA, the Netherlands.
Samantha HughesDepartment of Environmental Health and Toxicology, A-LIFE, Vrije Universiteit Amsterdam, de Boelelaan 1085, Amsterdam, 1081 HV, the Netherlands. Electronic address: s.hughes@vu.nl.
National Institute for Public Health and the Environment · NLSwarthmore College · USVrije Universiteit Amsterdam · NL

Funding

Comparative mechanistic study of developmental neurotoxicity of organophosphorus pesticidesR15ES031354 · NIEHS · SWARTHMORE COLLEGE · PI COLLINS, EVA-MARIA SCHOETZ · 2020 to 2023
$764k
New statistical and computational tools for optimization of planarian behavioral chemical screensR03ES034545 · NIEHS · SWARTHMORE COLLEGE · PI COLLINS, EVA-MARIA SCHOETZ · 2023 to 2023
$139k
NIEHS NIH HHS R03 ES034545NIEHS NIH HHS R15 ES031354
6 · The paper itself

Abstract

Developmental neurotoxicity (DNT) is not routinely evaluated in chemical risk assessment because current test paradigms for DNT require the use of mammalian models which are ethically controversial, expensive, and resource demanding. Consequently, efforts have focused on revolutionizing DNT testing through affordable novel alternative methods for risk assessment. The goal is to develop a DNT in vitro test battery amenable to high-throughput screening (HTS). Currently, the DNT in vitro test battery consists primarily of human cell-based assays because of their immediate relevance to human health. However, such cell-based assays alone are unable to capture the complexity of a developing nervous system. Whole organismal systems that qualify as 3 R (Replace, Reduce and Refine) models are urgently needed to complement cell-based DNT testing. These models can provide the necessary organismal context and be used to explore the impact of chemicals on brain function by linking molecular and/or cellular changes to behavioural readouts. The nematode Caenorhabditis elegans, the planarian Dugesia japonica, and embryos of the zebrafish Danio rerio are all suited to low-cost HTS and each has unique strengths for DNT testing. Here, we review the strengths and the complementarity of these organisms in a novel, integrative context and highlight how they can augment current cell-based assays for more comprehensive and robust DNT screening of chemicals. Considering the limitations of all in vitro test systems, we discuss how a smart combinatory use of these systems will contribute to a better human relevant risk assessment of chemicals that considers the complexity of the developing brain.

Indexed as

BrainCaenorhabditis elegansNeurotoxicity SyndromesToxicity TestsAnimalsAnimal Testing AlternativesBehavior, AnimalHigh-Throughput Screening AssaysHumansPlanariansRisk AssessmentZebrafishBehavioral phenotypingCaenorhabditis elegansDanio rerio zebrafishDevelopmental neurotoxicityDugesia japonica planariansMetabolism

Identifiers

PMID38552718
PMCPMC11139590
OpenAlexW4393254853

What OpenQuestion holds

Textmetadata
LicenceTDM
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.