Evidence map›Paper›PMID 39960847›Full record

ArticleeLife2025

Behavioural pharmacology predicts disrupted signalling pathways and candidate therapeutics from zebrafish mutants of Alzheimer's disease risk genes.

François Kroll, Joshua Donnelly, Güliz Gürel Özcan, Eirinn Mackay, Jason Rihel

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Pharmaco-behavioral profiling identifies suppressors of autism gene-associated phenotypes in zebrafish.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. 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

5 authors.

François KrollDepartment of Cell and Developmental Biology, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-9908-2648
Joshua DonnellyDepartment of Cell and Developmental Biology, University College London, London, United Kingdom.
Güliz Gürel ÖzcanDepartment of Cell and Developmental Biology, University College London, London, United Kingdom.
Eirinn MackayDepartment of Cell and Developmental Biology, University College London, London, United Kingdom.
Jason RihelDepartment of Cell and Developmental Biology, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-4067-2066

Funding

Wellcome TrustWellcome Trust 10.35802/217150
6 · The paper itself

Abstract

By exposing genes associated with disease, genomic studies provide hundreds of starting points that should lead to druggable processes. However, our ability to systematically translate these genomic findings into biological pathways remains limited. Here, we combine rapid loss-of-function mutagenesis of Alzheimer's risk genes and behavioural pharmacology in zebrafish to predict disrupted processes and candidate therapeutics. FramebyFrame, our expanded package for the analysis of larval behaviours, revealed that decreased night-time sleep was common to F0 knockouts of all four late-onset Alzheimer's risk genes tested. We developed an online tool, ZOLTAR, which compares any behavioural fingerprint to a library of fingerprints from larvae treated with 3677 compounds. ZOLTAR successfully predicted that

Indexed as

Alzheimer DiseaseBehavior, AnimalSignal TransductionZebrafishAnimalsDisease Models, AnimalLarvaZebrafish ProteinsZebrafish ProteinsAlzheimer'sbehaviourCrisprneurosciencepharmacologysleepsmall molecule screenzebrafish

Identifiers

PMID39960847
PMCPMC11832171

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.