Pharmaco-behavioral profiling identifies suppressors of autism gene–associated phenotypes in zebrafish
Pharmaco-behavioral screens in scalable in vivo systems have critical advantages for drug discovery relevant to large-effect autism spectrum disorder (ASD) genes. Here, we establish a database and open-source website of the behavioral signatures of 520 US Food and Drug Administration (FDA)-approved drugs using high-throughput assays of basic sensory processing and arousal behaviors in larval zebrafish. By leveraging the behavioral profiles of 9 large-effect ASD gene mutants, we identify enrichment of pharmacological mechanisms that anticorrelate with subgroups of ASD genes with shared behavioral phenotypes. Screening of anticorrelating drugs in mutants of two ASD genes, <i>SCN2A</i> and <i>DYRK1A</i>, uncovers compounds that suppress mutant behavioral phenotypes. We identify estropipate, an estrogen receptor agonist, and paclitaxel, a microtubule inhibitor, as the top suppressors in <i>scn1lab</i> and <i>dyrk1a</i> mutants, respectively, and levocarnitine (LEVO), a mitochondrial modulator and carnitine supplement, as a top suppressor of both mutant behavioral phenotypes. Finally, we find that LEVO rescues regional brain activity deficits and dysregulated lipid metabolic pathways in mutants, as well as signaling deficits in human pluripotent stem cell-derived glutamatergic neurons carrying mutations in <i>SCN2A</i> and <i>DYRK1A</i>, demonstrating conservation of drug rescue across systems. Therefore, our study establishes a pharmaco-behavioral resource for precision medicine-based drug discovery, illuminating targets relevant to large-effect ASD genes.
Authors
- April Pruitt (ORCID: https://orcid.org/0000-0002-5807-5422)
- Yulia V. Surovtseva (ORCID: https://orcid.org/0000-0001-6079-9246)
- Sheila Umlauf (ORCID: https://orcid.org/0000-0002-8671-7744)
- Uma Neelakantan
- Priyanka Jamadagni
- Xenophon Papademetris (ORCID: https://orcid.org/0000-0001-7711-3335)
- Ellen J. Hoffman (ORCID: https://orcid.org/0000-0002-5083-1369)
- Tzu-Chieh Huang (ORCID: https://orcid.org/0009-0008-7799-664X)
- Sarah E. Fitzpatrick (ORCID: https://orcid.org/0000-0001-7446-6469)
- Weimiao Wu (ORCID: https://orcid.org/0000-0001-6348-619X)
- Cheryl Lacadie (ORCID: https://orcid.org/0009-0006-3130-4156)
- Kristen Brennand (ORCID: https://orcid.org/0000-0003-0993-5956)
- Dejian Zhao (ORCID: https://orcid.org/0000-0003-4208-3062)
- Liu Yang (ORCID: https://orcid.org/0000-0002-7850-6517)
- Suha Khan
- Tianying Chen (ORCID: https://orcid.org/0000-0003-4939-8358)
- Xiayuan Huang
- Yihan Liu
- Christina Szialta
- David S. Jin
- P. J. Michael Deans
- Gang Xu
- Yi Dai
- Yunqing Liu
- Ningshan Li
- Zuoheng Wang
- Novin Balafkan
- Hellen Weinschutz Mendes
Institutions
- Chinese University of Hong Kong (HK)
- Haukeland University Hospital (NO)
- Yale University (US)
- Data Management (Italy) (IT)
- Meso Scale Discovery (United States) (US)
Publication Details
- Journal
- Proceedings of the National Academy of Sciences
- Published
- 2026-03-16
- DOI
- https://doi.org/10.1073/pnas.2518846123
- Primary Topic
- Zebrafish Biomedical Research Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00