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Record W7000886779

Generación de un modelo de Células de Purkinje de cerebelo para el estudio de dos enfermedades raras: PLAN y ARSACS

2022· dissertation· en· W7000886779 on OpenAlexaboutno aff

Bibliographic record

VenueRepository of Digital Objects for Teaching Research and Culture (University of Valencia) · 2022
Typedissertation
Languageen
FieldNeuroscience
TopicNeurological diseases and metabolism
Canadian institutionsnot available
Fundersnot available
KeywordsNeurodegenerationC9orf72Induced pluripotent stem cellPurkinje cellAutophagyCerebellar ataxiaCerebellumProgeria
DOInot available

Abstract

fetched live from OpenAlex

Human patient-derived induced pluripotent stem cells (hiPSCs) provide an unprecedented opportunity to recapitulate disease pathogenicity without the need for genetic manipulation and creation of gene targeted animal models. New technologies with hiPSCs are being developed to make human neurons and have the potential to improve our understanding underlying mechanisms of neurological diseases and development. Cerebellar atrophy is a condition associated with neurodegenerative diseases such as Charlevoix-Saguenay's Recessive Spastic Ataxia (ARSACS) and PLA2G6-Associated Neurodegeneration (PLAN). ARSACS is an early onset neurodegenerative disorder caused by mutations in the SACS gene, characterized with atrophy in superior cerebellum. PLAN, a NBIA (Neurodegeneration with Brain Iron Accumulation) form due to mutations in PLA2G6, is a neuroaxonal dystrophy, which presents cerebellar ataxia. Our aim was to generate a cerebellar Purkinje cell (CPC) model that will be used as models to investigate the cerebellar neurodegeneration to achieve a rationale therapy. We have developed a differentiation protocol using fibroblasts reprogrammed using Sendai virus to hiPSCs, from ARSACS and PLAN patients. We have successfully generated a functional CPC model from hiPSCs according to the protocol described by Shahin’s group [Mol Psychiatry 2018; 23: 2167-83] for each patient’s line. We have characterized this new models, CPC PLAN and CPC ARSACS by investigating the expression of genes and proteins involved in iron metabolism, lipid peroxidation, ferroptosis, and autophagy in PLAN patients and cytoskeleton, proteasome, and autophagy markers in ARSACS patients. In PLAN patients the findings showed an impaired ferritinophagy due to the ferritin and NCOA alterations among other altered markers, as well as an increased of lipid peroxidation levels, and altered gene antioxidant and ferroptosis gene expression altered, so that ferroptosis, iron metabolism and autophagy may be impaired and could contribute to neuronal death. In ARSACS patients the findings showed an autophagy pathway dysfunction and regulatory assembly and disassembly gene expression altered. Moreover, in mature ARSACS and healthy carriers CPCs we observed neurofilaments accumulations genotype-dependent, as patient and animal’s models showed previously as a principal characteristic of ARSACS disease. We also analyzed mitochondrial respiration and bioenergetics using a Seahorse XFe96 analyzer to confirm that the mitochondrial function was altered in both diseases. Finally, we examined the electrophysiological properties by whole cell patch clamp recordings on patients and control mature CPCs and neuronal morphology. The observed mitochondrial dysfunction and the abnormal electrophysiological properties of CPC’s patients carrying PLA2G6 and SACS mutations in heterozygosis and homozygosis indicate that normal expression of PLA2G6 and SACS is important for the development and functionality of the human CPCs. These results show that the CPC PLAN and CPC ARSACS model faithfully reproduces the underlying pathophysiology and, therefore, is suitable for drug screening and the achievement of rational therapy for this disease in the near future

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.053
GPT teacher head0.326
Teacher spread0.273 · 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 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
Published2022
Admission routes1
Has abstractyes

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