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Record W4407285207 · doi:10.1093/jcag/gwae059.023

A23 INVESTIGATING THE LINK OF BACTERIAL TRANSLOCATION AND BEHAVIORAL CHANGES IN A MOUSE RESTRAINT STRESS MODEL

2025· article· en· W4407285207 on OpenAlexafffund
Chiko Shimbori, Antoine Khalil, Narjis Kraïmi, Jun Lü, Giada De Palma, Siegfried Hapfelmeier, Stephen M. Collins, Přemysl Berčík

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsMcMaster University
FundersCanadian Institutes of Health Research
KeywordsChromosomal translocationLink (geometry)Stress (linguistics)BiologyPsychologyGeneticsComputer scienceGeneComputer networkPhilosophy

Abstract

fetched live from OpenAlex

Abstract Background Bacterial translocation is defined as migration of bacteria or bacterial fragments from the intestinal lumen into extraintestinal tissues; this process has been implicated in the pathophysiology of gastrointestinal disorders and central nervous system disorders. However, the direct causal relationship between bacterial translocation and behavioral changes, as well as the mechanism of bacterial translocation remains unclear. In the previous study, we showed that commensal microbes can cross the intestinal barrier and access deeper layers of the gut and distal organs in the restraint stress model. In this study, we further investigated whether bacterial translocation contribute to behavioral changes in a mouse restraint stress model using invasive bacteria. Aims To investigate whether invasive bacteria can translocate and exacerbate behavioral alterations in a stress model. Methods SPF C57BL/6 mice were assigned to either the restraint stress group or the non-stress control group. Each group was further divided into two subgroups: one receiving a vehicle and the other inoculated with auxotrophic Salmonella enterica serovar Typhimurium HA630 via oral gavage three times per week during the stress period (n=6-14 per group). In a separate experiment, stressed and non-stressed mice were each split into 2 groups: vehicle or GFP-Salmonella; inoculated with GFP labeled wild type Salmonella enterica serovar typhimurium via single oral gavaging (n=6-7). After the last session of stress, we conducted light/dark preference and tail suspension tests. We collected jejunum, colon, myenteric lymph node, liver, spleen, and brain samples for histology and performed iterative bleaching extends multiplexity (IBEX) staining. We also sampled blood, liver, spleen, and brain for bacterial cultures under aseptic conditions. Results Transient salmonella inoculation enhanced stress-induced anxiety-like behaviour accompanied by higher rate of bacterial translocation. Histology analysis showed that intestinal bacteria were invade into the intestinal mucosa and co-localized with goblet cells in jejunum, and colon, and some of them were in close proximity with neurons in stress group. Interestingly, some bacteria appeared to be within the CD103+ cells in the colon, as well as in the hippocampus. GFP-salmonella inoculation enhanced stress-induced depression-like behaviour accompanied by higher rate of bacterial translocation. Conclusions This study indicates that intestinal bacteria translocation could contribute to the stress-induced behaviors. Our histology data suggest potential contribution of goblet and CD103+ cells in gut bacterial translocation in the restrained stress model. Funding Agencies CAG, CIHR

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 score0.003
Threshold uncertainty score0.011

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 communication0.0000.000
Open science0.0000.001
Research integrity0.0010.002
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 head0.013
GPT teacher head0.258
Teacher spread0.245 · 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
Published2025
Admission routes2
Has abstractyes

Explore more

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