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Record W4311681213 · doi:10.22215/etd/2022-15217

Distribution and Activation of Melanin-Concentrating Hormone Receptor-1 at Dopaminergic, GABAergic, and Glutamatergic Neurons in the Ventral Tegmental Area

2022· dissertation· en· W4311681213 on OpenAlexaff
Carl Spencer

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldNeuroscience
TopicRegulation of Appetite and Obesity
Canadian institutionsCarleton University
Fundersnot available
KeywordsVentral tegmental areaDopaminergicGlutamatergicDopamineNeuroscienceGABAergicMelanin-concentrating hormoneOrexigenicChemistryBiologyInternal medicineInhibitory postsynaptic potentialNeuropeptideGlutamate receptorReceptorMedicineNeuropeptide Y receptor

Abstract

fetched live from OpenAlex

Melanin-concentrating hormone (MCH) is an orexigenic neuropeptide that acts through its receptor (MCHR1) to promote positive energy balance by increasing food intake and decreasing energy expenditure.MCH has been shown to inhibit dopamine release from the mesocorticolimbic dopamine pathway originating in the ventral tegmental area (VTA), and a hyperdopaminergic state underlies hyperactivity observed in animals lacking MCH or MCHR1.However, it is not known if the inhibitory effect of MCH on dopaminergic tone could be due to direct regulation of dopaminergic VTA neurons.We used a combination of molecular, neuroanatomical, and electrophysiological techniques to assess MCHR1 expression and activation in the VTA.MCH neurons project to the VTA, which comprises nerve terminals that contain MCH and may represent MCH release sites.Consistent with this, we detected MCHR1 expression on major VTA cell types, including those that are dopaminergic, GABAergic, and glutamatergic.Functional MCHR1 activation may regulate dopamine release via two mechanisms, one by acutely and directly inhibiting dopaminergic VTA neurons, and the other by disinhibiting glutamatergic afferents to dopaminergic VTA neurons.While we have not measured dopamine release in this present thesis, we postulate that MCH may acutely suppress dopamine release, while concurrently engaging local glutamatergic signaling to restore dopamine levels.These results signify that the VTA is a novel target for MCH-mediated physiology, including for the maintenance of energy homeostasis.their help and for making lab all the more enjoyable.Special thanks to Ralitsa Nikolova for her help analyzing ISH signal, Mikayla Payant for helping with anterograde injection studies, and Jesukhogie Williams-Ikhenoba for his help with gene and protein expression studies.Additional thanks to Bianca Bono for helping to prepare tissue and establish a combined ISH and IHC protocol.Thank you to the Mighty 93.1, CKCU FM, for always having fantastic programming to listen to and for allowing me to host my own show "Track 11" (https://cod.ckcufm.com/programs/518/info.html).

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 score0.002
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.244
Teacher spread0.230 · 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
Published2022
Admission routes1
Has abstractyes

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