Reference. Anti-Parkinsonian Drugs Rescue Locomotor Deficits in JIP3 Knockout Zebrafish: Implications for Treating Patients with MAPK8IP3 -related Neurodevelopmental Disorders

MAPK8IP3- related neurodevelopmental disorders are a spectrum of rare conditions caused by de novo mutations in the MAPK8IP3 gene that encodes the JIP3 protein. These disorders are associated with a spectrum of neurodevelopmental symptoms that manifest in children and cause brain abnormalities, profound intellectual disabilities, movement disorders, and developmental delays. JIP3 is required for axonal transport of proteins and organelles between the soma and the synaptic terminal of neurons, a process critical for normal brain development and function. Homozygous loss-of-function mutations in JIP3 lead to impaired axonal transport and aggregation of cargo, which result in axonal swelling and stunted elongation. Despite these severe outcomes, disease mechanisms are poorly understood, and no current treatments are available. Here we conduct thorough morphological, behavioral, and motility phenotyping in the JIP3 knockout zebrafish and identify locomotor deficits and morphological abnormalities. To identify treatment options, we used insights from expert clinicians and the artificial intelligence tool, mediKanren, to identify drug candidates hypothesized to improve patient symptoms or compensate for the loss of JIP3 at the molecular level. We then prioritized drugs that are FDA-approved, safe for children, and readily available. These collective efforts identified amantadine and levodopa as candidate therapies and rescued motor phenotypes associated with JIP3 loss-of-function in zebrafish.

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Cite as @foksinska-2025-anti (helia, typst) · \cite{foksinska-2025-anti} (LaTeX)
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@article{foksinska-2025-anti, title={Anti-Parkinsonian Drugs Rescue Locomotor Deficits in JIP3 Knockout Zebrafish: Implications for Treating Patients with
                  <i>MAPK8IP3</i>
                  -related Neurodevelopmental Disorders}, url={http://dx.doi.org/10.1101/2025.02.02.636112}, DOI={10.1101/2025.02.02.636112}, publisher={openRxiv}, author={Foksinska, Aleksandra and Souder, Paige and Smith, Gabrielle and Travis, Kinnsley and Rucka, Sienna and Allred, Addie and Bender, Rebeca and Brunson, Jackie and Lanier, Avary and Glaze, Amber and Crouse, Andrew and Might, Matt and Crowder, Camerron M.}, year={2025}, month=Feb }
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foksinska-2025-anti:
  type: article
  title: 'Anti-Parkinsonian Drugs Rescue Locomotor Deficits in JIP3 Knockout Zebrafish: Implications for Treating Patients with <i>MAPK8IP3</i> -related Neurodevelopmental Disorders'
  author:
  - Foksinska, Aleksandra
  - Souder, Paige
  - Smith, Gabrielle
  - Travis, Kinnsley
  - Rucka, Sienna
  - Allred, Addie
  - Bender, Rebeca
  - Brunson, Jackie
  - Lanier, Avary
  - Glaze, Amber
  - Crouse, Andrew
  - Might, Matt
  - Crowder, Camerron M.
  date: 2025-02
  url: http://dx.doi.org/10.1101/2025.02.02.636112
  serial-number:
    doi: 10.1101/2025.02.02.636112
  parent:
    type: periodical
    publisher: openRxiv
Cites 37 works (1 here)
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The precision medicine process for treating rare disease using the artificial intelligence tool mediKanren foksinska-2022-the

There are over 6,000 different rare diseases estimated to impact 300 million people worldwide. As genetic testing becomes more common practice in the clinical setting, the number of rare disease diagnoses will continue to increase, resulting in the need for novel treatment options. Identifying treatments for these disorders is challenging due to a limited understanding of disease mechanisms, small cohort sizes, interindividual symptom variability, and little commercial incentive to develop new treatments. A promising avenue for treatment is drug repurposing, where FDA-approved drugs are repositioned as novel treatments. However, linking disease mechanisms to drug action can be extraordinarily difficult and requires a depth of knowledge across multiple fields, which is complicated by the rapid pace of biomedical knowledge discovery. To address these challenges, The Hugh Kaul Precision Medicine Institute developed an artificial intelligence tool, mediKanren, that leverages the mechanistic insight of genetic disorders to identify therapeutic options. Using knowledge graphs, mediKanren enables an efficient way to link all relevant literature and databases. This tool has allowed for a scalable process that has been used to help over 500 rare disease families. Here, we provide a description of our process, the advantages of mediKanren, and its impact on rare disease patients.
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