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Record W7010486258

The involvement of thioredoxin-1 in neuronal laminopathy in neurodegeneration

2023· dissertation· en· W7010486258 on OpenAlexaff

Bibliographic record

VenueMspace (University of Manitoba) · 2023
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial metabolism and enzyme function
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsNeurodegenerationDownregulation and upregulationEpigeneticsProgrammed cell deathGene knockdownChromatinOxidative stressDNA damageHistone
DOInot available

Abstract

fetched live from OpenAlex

Introduction: Progressive loss of neurons is a common cause in pathophysiology of neurodegenerative diseases (ND), although the underlying mechanisms responsible for cell death remains controversial. All ND are identified by accumulation of abnormal protein aggregates which have been traditionally targeted as the cause of neuronal loss in numerous experimental and clinical trials; however, there is currently no effective treatment available for these diseases. The involvement of oxidative stress in ND has also been well-documented by accumulation of oxidized proteins and declined antioxidant capacity of the nervous tissue. Thioredoxin-1 (Trx1) is one of these antioxidant proteins, responsible for regulating the redox status of cellular proteins. Lowered Trx1 level has been reported in the brain autopsy from Alzheimer’s disease (AD) patients, however, the cause and the consequence remain mostly unknown. Our lab has identified that loss of Trx1 is an important upstream event in induction of nuclear lamina (NL) invagination in neurons, known as laminopathy. This is a newly identified mechanism in pathophysiology of ND and has been linked to epigenetic changes and aberrant gene expression. Therefore, understanding the underlaying mechanisms in nuclear laminopathy may reveal new information about these diseases. Hypothesis: Decreased anti-oxidative capacity due to Trx1 downregulation is sufficient to induce nuclear lamina damage and reorganize chromatin structure, which leads to downstream aberrant gene expression that cause neuronal death. Methods: I used RNA interfering technology to downregulate Trx1 protein in human neuroblastoma cells (SH-SY5Y) and rat primary cortical neurons. I then used real-time PCR, western blotting, immunocytochemistry, and pyrosequencing to examine the structural and molecular nuclear events after Trx1 downregulation. Results: Genetic downregulation of Trx1 in SH-SY5Y cells was sufficient for induction of caspase-6 and NL damage. Moreover, I detected robust changes in cytoskeleton that was mediated by increased levels of F-actin fibrilization and were associated with laminopathy. These effects were also recapitulated in Trx1-depleted rat primary neurons. Activation of FoxO3a, as a cellular stress sensor, was shown by its phosphorylation status and the increased expression of its target proteins. Furthermore, accumulation of Double strand break (DSB) DNA damage and a significant increase in DNA methylating enzymes DNMT1 and DNMT3b was detected. Methylation status of repetitive elements in genome such as LINE-1 represents the overall DNA methylation level. However, my experiments did not show if Trx1 ablation changes LINE-1 methylation. This was despite histone modifications and aberrant transposable gene expression. These adverse effects were partially rescued, and cell viability was improved by administration of Thioredoxin mimetic peptide (CB3). Conclusion: This study provides a mechanistic link between Trx1 downregulation and induction of nuclear and cytoskeleton changes which might contribute to the pathophysiology of ND. Identification of specific genes with altered DNA methylation and/or histone modification will help to design novel therapeutic target.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.905
Threshold uncertainty score0.494

Codex and Gemma teacher scores by category

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

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 head0.010
GPT teacher head0.194
Teacher spread0.183 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2023
Admission routes1
Has abstractyes

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