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Early TNF-Dependent Regulation of Excitatory and Inhibitory Synapses on Striatal Direct Pathway Medium Spiny Neurons in the YAC128 Mouse Model of Huntington's Disease

2022· article· en· W4311457555 on OpenAlexafffund
Julien Chambon, Pragya Komal, Gil M. Lewitus, Gina M. Kemp, Simone Valade, Houaria Adaïdi, Noura Al Bistami, David Stellwagen

Bibliographic record

VenueJournal of Neuroscience · 2022
Typearticle
Languageen
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsMcGill University Health Centre
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaFonds de recherche du QuébecCanada First Research Excellence FundHuntington Society of CanadaGovernment of CanadaALS Society of CanadaMcGill University
KeywordsMedium spiny neuronInhibitory postsynaptic potentialExcitatory postsynaptic potentialHuntington's diseaseNeuroscienceDirect pathway of movementStriatumBiologyDiseaseMedicineDopamineInternal medicine

Abstract

fetched live from OpenAlex

Huntington's disease (HD) is a neurodegenerative disease caused by a polyglutamine expansion in the huntingtin gene. Neurodegeneration first occurs in the striatum, accompanied by an elevation in inflammatory cytokines. Using the presymptomatic male YAC128 HD model mouse, we examined the synaptic input onto the striatal medium spiny neurons to look for early changes that precede degeneration. We observed an increase in excitatory synaptic strength, as measured by AMPA/NMDA ratios, specifically on direct pathway D1 receptor expressing medium spiny neurons, with no changes on indirect pathway neurons. The changes in excitation were accompanied by a decrease in inhibitory synaptic strength, as measured by the amplitude of miniature inhibitory synaptic currents. The pro-inflammatory cytokine tumor necrosis factor alpha (TNF) was elevated in the striatum of YAC128 at the ages examined. Critically, the changes in excitatory and inhibitory inputs are both dependent on TNF signaling, as blocking TNF signaling genetically or pharmacological normalized synaptic strength. The observed changes in synaptic function are similar to the changes seen in D1 medium spiny neurons treated with high levels of TNF, suggesting that saturating levels of TNF exist in the striatum even at early stages of HD. The increase in glutamatergic synaptic strength and decrease in inhibitory synaptic strength would increase direct pathway neuronal excitability, which may potentiate excitotoxicity during the progress of HD. SIGNIFICANCE STATEMENTThe striatum is the first structure to degenerate in Huntington's disease, but the early changes that presage the degeneration are not well defined. Here we identify early synaptic changes in the YAC128 mouse model of Huntington's disease specifically on a subpopulation of striatal neurons. These neurons have stronger excitatory synapses and weaker inhibitory inputs, and thus would increase the susceptibility to excitotoxicity. These changes are dependent on signaling by the pro-inflammatory cytokine TNFα. TNF is elevated even at early presymptomatic stages, and blocking TNF signaling even acutely will reverse the synaptic changes. This suggests early intervention could be important therapeutically.

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 score0.001
Threshold uncertainty score0.004

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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.034
GPT teacher head0.254
Teacher spread0.220 · 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

Citations18
Published2022
Admission routes2
Has abstractyes

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