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Record W2537167978 · doi:10.1016/j.jalz.2016.06.2175

P4‐086: TAU Modulates BDNF Expression and Mediates Aβ‐Induced Bdnf Down‐Regulation in Animal and Cellular Models of Alzheimer's Disease

2016· article· en· W2537167978 on OpenAlexaff
Elyse Rosa, Sujeivan Mahendram, Yazi D. Ke, Lars M. Ittner, Stephen D. Ginsberg, Margaret Fahnestock

Bibliographic record

VenueAlzheimer s & Dementia · 2016
Typearticle
Languageen
FieldNeuroscience
TopicNuclear Receptors and Signaling
Canadian institutionsMcMaster University
Fundersnot available
KeywordsNeuroscienceDiseasePsychologyTau pathologyAnimal modelBrain-derived neurotrophic factorAlzheimer's diseaseMedicineInternal medicineNeurotrophic factorsReceptor

Abstract

fetched live from OpenAlex

In Alzheimer’s disease (AD), soluble tau is hyperphosphorylated, and some of this population aggregates and precipitates as neurofibrillary tangles (NFTs). This pathological tau is believed to cause neurodegeneration, although a precise toxic mechanism is not well understood. Our previous work showed that brain-derived neurotrophic factor (BDNF), a protein required for neuronal survival and function, is lost in brain tissue from AD and non-AD tauopathies. Thus, we hypothesized that pathological tau down-regulates BDNF. We quantified BDNF mRNA from the cortex of transgenic mice (8c-het and hTau mice) over-expressing wild-type human tau, as well as wild-type human tau (hTau40)-transfected human neuroblastoma (SH-SY5Y) cells, using qRT-PCR. These models allowed us to examine the effect of excess tau on BDNF expression. Additionally, we quantified BDNF mRNA from amyloid-β over-expressing (APP23) mice and APP23xTauKO to determine if tau mediates amyloid-β induced BDNF down-regulation. We found a significant reduction in BDNF mRNA in both 8c-het and hTau mice compared to non-transgenic control mice. The 8c-het mice exhibit increased tau phosphorylation but do not develop NFTs, while the hTau mice do exhibit NFT pathology, yet both models significantly down-regulate BDNF. We also found a significant reduction in BDNF and BDNF transcript IV in hTau40-transfected SH-SY5Y cells compared to controls. Lastly, we found that APP23 mice, which over-express Aβ, have significantly reduced BDNF expression. However, when crossed with Tau knockout (KO) mice, the resulting APP23xTauKO animals have cortical BDNF expression intermediate between APP23 and wild-type animals and not statistically different from wild-type animals. Our results demonstrate that excess wild-type tau can down-regulate BDNF, and that neither a mutation in tau nor NFTs are required for toxicity as measured by BDNF expression. Furthermore, the partial rescue of BDNF levels by tau knockout suggests that tau contributes to Aβ-induced BDNF down-regulation. Thus, loss of BDNF may mediate tau neurotoxicity, which has profound implications for therapeutic intervention in AD and tauopathies.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.716

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 communication0.0000.001
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 head0.035
GPT teacher head0.247
Teacher spread0.213 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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