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Record W7115810447

ProNGF and BDNF transport in basal forebrain neurons

2024· dissertation· en· W7115810447 on OpenAlexfundno aff

Bibliographic record

VenueMacSphere (McMaster University) · 2024
Typedissertation
Languageen
FieldNeuroscience
TopicNerve injury and regeneration
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchMcMaster University
KeywordsNeurotrophinBasal forebrainAxoplasmic transportNeurotrophic factorsLow-affinity nerve growth factor receptorNerve growth factorBrain-derived neurotrophic factorTropomyosin receptor kinase A
DOInot available

Abstract

fetched live from OpenAlex

Neurotrophins such as pro-nerve growth factor (proNGF) and brain-derived neurotrophic factor (BDNF) are essential for survival and function of basal forebrain cholinergic neurons (BFCNs). ProNGF and BDNF exert their functions through the tropomyosin-related kinase (Trk) receptors, TrkA and TrkB, respectively, and the pan neurotrophin receptor, p75NTR. Neurotrophins binding to their receptors enables retrograde axonal transport, a process necessary for BFCNs to obtain neurotrophins. Neurotrophin transport is impaired in aging, which is associated with BFCN degeneration and cognitive decline. The mechanisms causing loss of neurotrophin transport are unknown. Nitrative stress is elevated in aging and increases JNK activation, but whether this affects neurotrophin transport has not previously been studied. This project investigated how nitrative stress affects proNGF and BDNF transport in BFCNs. BFCNs were cultured in microfluidic chambers and aged for 7-22 days in vitro. Quantum dot labelled proNGF, BDNF, and proNGF mutants that selectively bind to TrkA or p75NTR were added to BFCN axons prior to analysis of their retrograde transport via fluorescence microscopy. Nitrative stress was manipulated using L-NAME, a nitric oxide synthase inhibitor, DEA NONOate, a nitric oxide generator, and SIN-1, a peroxynitrite generator. JNK activity was inhibited using CC401. We determined that nitrative stress decreases retrograde transport of proNGF via TrkA while increasing proNGF transport via p75NTR, which is associated with decreased neurotrophic signalling, increased apoptotic signalling, and neurodegeneration. Additionally, nitrative stress impairs proNGF transport by activating JNK independently of p75NTR. Nitrative stress-induced JNK activation also impairs BDNF transport in young BFCNs but increases BDNF transport in aged BFCNs. Aged BFCNs have decreased levels of TrkB relative to young BFCNs, which may explain the differential effects of nitrative stress on BDNF transport in aged versus young neurons. These results indicate that nitrative stress-induced JNK activation contributes to loss of neurotrophin transport and BFCN degeneration in aging.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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 head0.016
GPT teacher head0.222
Teacher spread0.205 · 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 source (direct Gemma or distilled Codex), 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
Published2024
Admission routes1
Has abstractyes

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