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Record W2921811730 · doi:10.1093/jcag/gwz006.031

A32 THE ROLE OF GUT MICROBIOTA AND TRACE AMINES IN A MURINE MODEL OF GENERALIZED ANXIETY DISORDER

2019· article· en· W2921811730 on OpenAlexaff
Devinne Thrasher, Přemysl Berčík, Stephen M. Collins, Giada De Palma, Michael G. Surette, Jun Lü, Elena F. Verdú, Rebecca Anglin

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsMcMaster UniversityMcMaster University Medical Centre
Fundersnot available
KeywordsGut–brain axisGut floraGeneralized anxiety disorderAnxietyDopamineImmune systemSerotoninMajor depressive disorderBiologyEndocrinologyInternal medicineImmunologyPsychologyMedicinePsychiatryAmygdalaReceptor

Abstract

fetched live from OpenAlex

Anxiety disorders are the most prevalent psychiatric conditions within primary care, affecting up to 29% of people across their lifetime. Generalized Anxiety disorder (GAD) is frequently comorbid with major depressive disorder, resulting in greater functional impairment. Gut microbiota have been shown to modulate brain chemistry and function, possibly also playing a role in the genesis of anxiety. Bacteria can produce, or interact with the host metabolism of neuroactive substances, including classical neurotransmitters and trace amines, like octopamine, which despite found in trace concentrations in the mammalian brain, can significantly affect CNS function. Trace amines alter catecholamine release, reuptake and biosynthesis, and modulate dopamine and serotonin metabolism. We investigated whether microbiota from patients with GAD and an absence of immune activation can induce altered behaviour in gnotobiotic mice and whether this is accompanied by changes in trace amines levels. Germ-free NIH Swiss mice (n=34) were colonized with microbiota from either a GAD patient (n=17) with moderate anxiety, comorbid depression, and low serum and fecal octopamine, or an age and sex-matched healthy control (HC) (n=17). Immune activation/inflammation profiles of human donors was assessed from tissue and plasma cytokines, CRP and β-defensin-3 levels. Microbiota profiles were assessed via 16S rRNA based Illumina. Three weeks post-colonization, mouse behaviour was assessed by standard psychometric tests. Emotionality z-scores were calculated to provide a robust integrated behavioural assessment. Fecal b-defensin-3 was measured via ELISA. After sacrifice, brain BDNF and GDNF expression will be assessed by immunofluorescence, and gene expression by qPCR. There were no differences in fecal b-defensin levels between mice with GAD and HC microbiota. However, GAD mice exhibited greater anxiety and depressive-like behavior compared to HC mice in the digging, marble-burying, step-down and tail suspensions tests. Behavioural z-scoring across all six standard psychometric tests showed a significant increase in group emotionality score means of GAD-colonized mice compared to HC-colonized mice (p= 0.02; Figure 1). Our results suggest that GAD microbiota has the ability to induce anxiety and depressive-like behavior, by mechanisms independent of the immune system, likely by altered production of trace amines. This needs to be confirmed however by full metabolomics analysis of stool and tissues samples, which is currently underway. Figure 1 - Individual and Group Emotionality Scores of GAD- and HC-colonized mice. Behavioural z-scoring across all six standardized psychometric tests showed a significant increase in group emotionality score means of GAD-colonized mice compared to HC-colonized mice (p= 0.02) NIH

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.006
GPT teacher head0.199
Teacher spread0.192 · 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 designObservational
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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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