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Record W6999149977

Caracterización comparativa del aprendizaje y la memoria en ratas añosas de genotipo salvaje y transgénicas modelo de la enfermedad de Alzheimer

2018· dissertation· en· W6999149977 on OpenAlexaboutno aff

Bibliographic record

VenueRepositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires) · 2018
Typedissertation
Languageen
FieldNeuroscience
TopicMemory and Neural Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsHippocampusGenetically modified mouseHippocampal formationHabituationExtracellularPathophysiologyIntracellularTransgeneAnimal model
DOInot available

Abstract

fetched live from OpenAlex

The transgenic rat model for Alzheimer disease McGill-R-Thy1 bears the transgene of human amyloid precursor protein (APP) with two familial Alzheimer?s disease (AD) mutations Swedish and Indiana. This animal model presents early hippocampal and cortical intracellular A? peptides accumulation. Homozygous animals exhibit intracellular A? oligomers from the first week of life and extracellular amyloid plaques deposit from 6 months of age. 13 months homozygous animals showed deficits in the Morris Water Maze, fear conditioning and new object recognition (NOR), whereas 3 months rats showed deficits in the new objects location (NOL). Instead, hemizygous rats present features that would correspond with an earlier step of AD when there is no amyloid plaques accumulation yet. 3 months hemizigous rats showed deficits in the water maze, while 13 months rats showed deficits in NOR and fear memory.\nMany investigations have shown that inflammation is involved in the physiopathology of AD. Retrospective and prospective clinical studies found that anti-inflammatory drugs decreased future AD risk. Furthermore, animal models of AD found a positive correlation between inflammation and A? peptide species accumulation and increase behavioral deficits.\nWe characterized cognitive features of hemizygous TG in parallel with their wild genotype littermates (WT) to discriminate putative age deficits from those due to intracellular A? oligomers. We assessed 13 month old TG and WT rats habituation to an open field (OF), performance in a step-through inhibitory avoidance (ST-IA), NOL and NOR tasks.\nTo study possible inflammation involvement in our animal model we performed immunolabeling against Iba-1 and GFAP in the CA1 region of the hippocampus to evaluate the percentage of area cover by microglia and astrocytes cells respectively. To estimate if hippocampal neurons presented signs of degeneration we used antibodies directed against NeuN, that usually located in the nucleus but it is distributed to the cytoplasm in case of cellular stress.\n6\nThere were no differences between WT and TG rats in OF total exploration parameters, showing that both were able to habituate to the environment for the ST and able to express the memory in the LT (24 h later). TG seemed to be unable to learn the ST-IA task, while WT rats performed well. Neither Wts aged rats nor TGs seemed to discriminate NOL at variance with younger animals, that were able to learn and form a memory. WT performed well in the ST and LT for NOR, while TG only showed ST memory for NOR. Unexpectedly, we found astrocyte atrophy in TG rats compared to WT rats whereas the covered area by microglia cells was similar in both animals groups. TG animals showed increased NeuN redistribution from the nucleus to the cytoplasm indicating neurodegeneration.\nIn conclusion, these degenerative changes could be consecuence of different etiologies as the A?-oligomer attacks to the sinapses and neurons or the possible astroglia atrophy decreasing neuronal and sinapses funcion. It could be also consequence of the inespecific inflammation induced by A? species, including A? oligomers. These results suggest that the observed patology in the hippocampus can directly relate tio the memory deficits, particularly in the lon term memory, both in the NOR and ST-IA.

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, Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
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 score0.138
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0020.003
Open science0.0030.000
Research integrity0.0020.002
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 head0.029
GPT teacher head0.321
Teacher spread0.292 · 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; both teacher heads agree on what is shown here.

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
Published2018
Admission routes1
Has abstractyes

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