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Dowdle, W. E.

Publications and source records attributed to Dowdle, W. E..

2 recordsLinked to original sources

DNL343 is an investigational CNS penetrant eIF2B activator that prevents and reverses the effects of neurodegeneration caused by the Integrated Stress Response

The integrated stress response (ISR) is a conserved pathway in eukaryotic cells that is activated in response to multiple sources of cellular stress. Although acute activation of this pathway restores cellular homeostasis, intense or prolonged ISR activation perturbs cell function and may contribute to neurodegeneration. DNL343 is an investigational CNS-penetrant small molecule ISR inhibitor designed to activate the eukaryotic initiation factor 2B (eIF2B) and suppress aberrant ISR activation. DNL343 reduced CNS ISR activity and neurodegeneration in a dose-dependent manner in two established in vivo models - the optic nerve crush injury and an eIF2B loss of function (LOF) mutant - demonstrating neuroprotection in both and preventing motor dysfunction in the LOF mutant mouse. Treatment with DNL343 at a late stage of disease in the LOF model reversed elevation in plasma biomarkers of neuroinflammation and neurodegeneration and prevented premature mortality. Several proteins and metabolites that are dysregulated in the LOF mouse brains were normalized by DNL343 treatment, and this response is detectable in human biofluids. Several of these biomarkers show differential levels in CSF and plasma from patients with vanishing white matter disease (VWMD), a neurodegenerative disease that is driven by eIF2B LOF and chronic ISR activation, supporting their potential translational relevance. This study demonstrates that DNL343 is a brain penetrant ISR inhibitor capable of attenuating neurodegeneration in mouse models and identifies several biomarker candidates that may be used to assess treatment responses in the clinic.

neuroscience↗

Modulation of RNA-dependent interactions in stress granules prevents persistent TDP-43 accumulation in ALS/FTD

Human genetic variants are usually represented by four values with variable length: chromosome, position, reference and alternate alleles. Thereis no guarantee that these components are represented in a consistent way across different data sources, and processing variant-based data can be inefficient because four different comparison operations are needed for each variant, three of which are string comparisons. Working with strings, in contrast to numbers, poses extra challenges on computer memory allocation and data-representation. Existing variant identifiers do not typicallyrepresent every possible variant we may be interested in, nor they are directly reversible. To overcome these limitations, VariantKey, a novel reversible numerical encoding schema for human genetic variants, is presented here alongside a multi-language open-source software implementation (http://github.com/genomicspls/variantkey). VariantKey represents variants as single 64 bit numeric entities, while preserving the ability to be searched and sorted by chromosome and position. The individual components of short variants can be directly read back from the VariantKey, while long variants are supported with a fast lookup table.\n\nHighlightsO_LI~100 compounds identified by high-content screen inhibit SGs in HEK293, NPCs and iPS-MNs.\nC_LIO_LIALS-associated RBPs are recruited to SGs in an RNA-dependent manner\nC_LIO_LIMolecules with planar moieties prevent recruitment of ALS-associated RBPs to SGs\nC_LIO_LICompounds inhibit TDP-43 accumulation in SGs and in TARDBP mutant iPS-MNs.\nC_LI

neuroscience↗