Evidence map›Paper›PMID 42631254›Full record

ArticleDystonia (Lausanne, Switzerland)2023

DYT-TOR1A genotype alters extracellular vesicle composition in murine cell model and shows potential for biomarker discovery.

Connor S King, Zachary F Caffall, Erik J Soderblom, Nicole Calakos

Abstract read
In one paragraph

Article in Dystonia (Lausanne, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

4 authors.

Connor S KingDepartment of Neurology, Duke University Medical Center, Durham, NC, United States.
Zachary F CaffallDepartment of Neurology, Duke University Medical Center, Durham, NC, United States.
Erik J SoderblomDepartment of Cell Biology, Duke University Medical Center, Durham, NC, United States.
Nicole CalakosDepartment of Neurology, Duke University Medical Center, Durham, NC, United States.

Funding

Significance of Protein Synthesis by the Integrated Stress Response in Neuromodulatory Neurons for Adaptive Behavior and Synaptic PlasticityR01NS133430 · NINDS · DUKE UNIVERSITY · PI NICOLE CALAKOS · 2023 to 2026
$2.5M
NINDS NIH HHS R01 NS133430
6 · The paper itself

Abstract

Introduction: Biomarkers that can be used to identify patient subgroups with shared pathophysiology and/or that can be used as pharmacodynamic readouts of disease state are valuable assets for successful clinical trial design. In translational research for brain diseases, extracellular vesicles (EVs) have become a high-priority target for biomarker discovery because of their ubiquity in peripheral biofluids and potential to indicate brain state. Materials and methods: Here, we applied unbiased quantitative proteomics of EVs isolated from DYT-TOR1A knockin mouse embryonic fibroblasts and littermate controls to discover candidates for protein biomarkers. We further examined the response of genotype perturbations to drug treatment conditions to determine their pharmacodynamic properties. Results: We found that many DYT-TOR1A MEF EV differences were significantly corrected by ritonavir, a drug recently shown to correct DYT-TOR1A phenotypes in cell and mouse disease models. We also used tool compounds to explore the effect of the integrated stress response (ISR), which regulates protein synthesis and is implicated in dystonia pathogenesis. Integrated stress response inhibition in WT cells partially phenocopied the effects of DYT-TOR1A on EV proteome composition, and ISR potentiation in DYT-TOR1A caused changes that paralleled ritonavir treatment. Conclusion: These results collectively show that DYT-TOR1A genotype alters EV protein composition, and these changes can be dynamically modulated by a candidate therapeutic drug and ISR activity state. These mouse model findings provide proof-of-concept that EVs may be a useful source of biomarkers in human populations and further suggest specific homologs to evaluate in cross-species validation.

Indexed as

biomarkersdystoniaDYT1extracellular vesiclesproteomicsritonavir

Identifiers

PMID42631254
PMCPMC13496261

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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.