MétaCan
Menu
Back to cohort
Record W4404139979 · doi:10.1080/21678421.2024.2403304

Theme 7 Pre-Clinical Therapeutic Strategies

2024· article· en· W4404139979 on OpenAlexfundno aff

Bibliographic record

VenueAmyotrophic Lateral Sclerosis and Frontotemporal Degeneration · 2024
Typearticle
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsnot available
FundersGenomics Research Center, Academia SinicaJapan Society for the Promotion of ScienceBiogenALS Society of CanadaMedical Research CouncilCanadian Institutes of Health ResearchAcademia SinicaJapan Agency for Medical Research and DevelopmentQuébec Consortium for Drug DiscoveryLifeArcMotor Neurone Disease AssociationFondation Brain CanadaMotor Neurone Disease Australia
KeywordsTheme (computing)MedicinePsychologyIntensive care medicineHistoryComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Background: ALS is a devastating neurodegenerative disorder characterized by the progressive degeneration of motor neurons in the brain and spinal cord, leading to a gradual loss of voluntary muscle control, paralysis, and fatal respiratory failure.Although familial forms of ALS exist, the multifactorial nature of sporadic ALS remains elusive.Recent animal studies have shown that Atxn2 deficiency disrupts the Ataxin-2-TDP43 interaction and ameliorates TDP43 proteinopathy, a causative factor in neurodegeneration in $97% of ALS and $50% of tau-negative frontotemporal dementia cases.Objective: To develop a miRNA gene silencing adeno-associated (AAV) gene therapy approach to modulate ATNX2 expression as a potential therapeutic approach for TDP43 proteinopathies.Methods: Using in vitro and in vivo model systems we screened ATXN2-targeting microRNA (miRNA) sequences.The most efficacious miRNA guide sequence was inserted into AviadoBio's proprietary vMiX TM platform to test efficacy in a dose-ranging study using human BAC-ATXN2-Q72 transgenic mice.Results: Fifty-one guides with optimal GC content and predicted binding were transfected in vitro, and 14 sequences were found to knockdown ATXN2 mRNA (up to 79%).The 14 most promising guides were cloned into our vMiX TM platform, AAV9 vectors produced, transduced in HEK 293T cells, and ATXN2 mRNA expression quantified.The vector with the greatest in vitro ATXN2 mRNA knockdown efficacy (AVB-205) was selected for in vivo evaluation in BAC-ATXN2-Q72 transgenic mice.Four doses of AVB-205, vMiX.CT (Control vector), or vehicle, were administered by intracerebroventricular (ICV) injection into neonatal heterozygous BAC-ATXN2-Q72 mice (n 7-10/group) and their wild-type littermates (n 5/ group).After eight weeks, all mice were euthanized.Molecular analyses of the cortex and spinal cord were conducted to establish ATXN2/Atxn2 mRNA knockdown, vector genomes per cell (VG/cell), and miRNA guide expression.AVB-205 knocked down human ATXN2 mRNA by 70% in the cortex and 29% in the spinal cord (p < 0.0001).Mouse Atxn2 mRNA was knocked down by 59% in the cortex and 24% in the spinal cord in wild-type littermates (p < 0.0001).In both genotypes and tissues, there was a significant dose-response relationship to knockdown (R 2 0.78, p < 0.001).In addition, a significant relationship between ATXN2/Atxn2 knockdown, VG/cell, and guide miRNA expression was found, such that an average of 1 VG/cell gave rise to up to 2.8x10 miRNA guides, which repressed ATXN2/Atxn2 expression by 50%.Discussion: Taken together, these data provide strong support for further testing the targeting of ATXN2 by AVB-205 in hTDP-43 transgenic mouse models and its translational potential as a therapy for TDP43 proteinopathies, including ALS and some forms of FTD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.839
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.075
GPT teacher head0.347
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueAmyotrophic Lateral Sclerosis and Frontotemporal DegenerationSame topicAmyotrophic Lateral Sclerosis ResearchFrench-language works237,207