MétaCan
Menu
Back to cohort
Record W4400773688 · doi:10.26685/urncst.611

The Effects of Alistipes-Produced GABA on the Murine Gut-Brain Serotonergic System and Major Depressive Disorder: A Research Protocol

2024· article· en· W4400773688 on OpenAlexaff
Jia N. Vedante, Julia C. Ingarao

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGABA and Rice Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSerotonergicNeurosciencePsychologyMajor depressive disorderGut–brain axisClinical psychologyPsychiatryMedicineSerotoninInternal medicineCognitionDisease

Abstract

fetched live from OpenAlex

Introduction: Inspired by the link established between gut dysbiosis and Major Depressive Disorder (MDD), this research protocol aims to clarify the role of Alitsipes bacteria in the context of this disorder. Gut dysbiosis has been implicated in MDD, but the specific role of the Alistipes genus remains unclear. Alistipes, being an underrepresented constituent of gut microbiome-related literature, were chosen as a potential link to MDD via the hypothesized pathway of Alistipes-released GABA, subsequent production of serotonin from enterochromaffin (EC) cells, and eventual vagus nerve stimulation. Methods: Four groups of 60 male adult gnotobiotic mice (strain C57BL/6) will be inoculated with different levels of Alistipes bacteria (none, low, baseline, high). Experiment 1 aims to understand the localization and quantity of Alistipes-derived GABA using PET/MRI. Subsequently, either bicuculline (a GABAA receptor antagonist), CGP56433A (a GABAB receptor antagonist), both in conjunction, or neither will be administered to understand how serotonin output varies based on GABAergic activity; PET/MRI will be used again for serotonin visualization. Lastly, an in-vivo whole-cell patch clamp experiment will help quantitatively assess vagus nerve stimulation resulting from serotonin secretion. Results: We hypothesize that GABA in the GI tract will be localized at EC cells, and that inhibiting GABAB receptors will produce the highest serotonin output and subsequently the greatest vagus nerve stimulation. Discussion: Current literature postulates that higher GABAB activity correlates with worse MDD symptoms, supporting the therapeutic potential of antagonizing this receptor’s activity. The serotonin output-related excitatory GABAA receptor responses are well known, calling for the exploration of the optimal combination of Alistipes concentration to support GABAA activity and proper dosage to block GABAB receptors. Conclusion: This study may have clinical implications for MDD therapies seeing that Selective Serotonin Reuptake Inhibitor treatments are ineffective for many patients; approaching this problem by drawing clearer conclusions about how GABA in the gut affects serotonergic activity in the brain and other nervous system components may help devise more novel treatments. If the proposed pathway holds true, a probiotic to help regulate the Alistipes level in the gut may serve as a potential therapeutic direction to take for such treatments.

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)0.001
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: Protocol · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.003

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 head0.049
GPT teacher head0.408
Teacher spread0.359 · 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
GenreProtocol

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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) JournalSame topicGABA and Rice ResearchFrench-language works237,207