Pharmaco-behavioral profiling identifies suppressors of autism gene–associated phenotypes in zebrafish
Abstract
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, SCN2A and DYRK1A , uncovers compounds that suppress mutant behavioral phenotypes. We identify estropipate, an estrogen receptor agonist, and paclitaxel, a microtubule inhibitor, as the top suppressors in scn1lab and dyrk1a 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 SCN2A and DYRK1A , 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.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (28)
Priyanka Jamadagni
Child Study Center, Yale School of Medicine
Yi Dai
Yunqing Liu
Department of Biostatistics, Yale School of Public Health
Hellen Weinschutz Mendes
Child Study Center, Yale School of Medicine
April Pruitt
Child Study Center, Yale School of Medicine
Suha Khan
Child Study Center, Yale School of Medicine
Liang Yang
Tzu-Chieh Huang
Department of Psychiatry, Division of Molecular Psychiatry, Yale University School of Medicine
Xiayuan Huang
Department of Biostatistics, Yale School of Public Health
P. J. Michael Deans
Novin Balafkan
Department of Psychiatry, Division of Molecular Psychiatry, Yale University School of Medicine
Dejian Zhao
Gang Xu
Yihan Liu
Department of Biostatistics, Yale School of Public Health
Ningshan Li
Department of Biostatistics, Yale School of Public Health
Weimiao Wu
Department of Biostatistics, Yale School of Public Health
Sarah E. Fitzpatrick
Child Study Center, Yale School of Medicine
Uma Neelakantan
Department of Chemical Biology and Therapeutics
Tianying Chen
Child Study Center, Yale School of Medicine
Christina Szialta
Child Study Center, Yale School of Medicine
David S. Jin
Department of Neuroscience, Yale School of Medicine
Cheryl M. Lacadie
Department of Radiology and Biomedical Imaging, Yale School of Medicine
Sheila Umlauf
Yale Center for Molecular Discovery, Yale School of Medicine
Xenophon Papademetris
Department of Radiology and Biomedical Imaging, Yale School of Medicine
Yulia V. Surovtseva
Yale Center for Molecular Discovery, Yale School of Medicine
Kristen J. Brennand
Zuoheng Wang
Department of Biostatistics, Yale School of Public Health
Ellen J. Hoffman
Child Study Center, Yale School of Medicine