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Record W4323351215 · doi:10.1093/jcag/gwac036.052

A52 SEX DIFFERENCES IN POST-INFLAMMATORY VISCERAL PAIN IN A MOUSE MODEL OF INFLAMMATORY BOWEL DISEASE (IBD)

2023· article· en· W4323351215 on OpenAlexaff
Maria J. Arzamendi, A Shute, Ronald Chan, Manon Defaye, C Altier, Keith A. Sharkey, Markus B. Geuking, Y Nasser

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2023
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsUniversity of CalgaryAlberta Children's Hospital
Fundersnot available
KeywordsMedicineVisceral painInflammatory bowel diseaseInternal medicineEstrogenGastroenterologyAbdominal painOvariectomized ratDiseasePhysiologyEndocrinologyNociception

Abstract

fetched live from OpenAlex

Abstract Background Inflammatory bowel diseases (IBD) are chronic inflammatory disorders of the gastrointestinal tract. Despite achieving endoscopic remission, up to 50% of IBD patients continue to experience chronic abdominal pain, with female patients displaying an increased prevalence. The reason underlying these differences in pain perception is unknown, but the influence of sex hormones represents an important biological source for variability in pain sensitivity. To date, few studies have examined sex differences in chronic visceral pain in IBD. Purpose Examine sex-specific differences in post-inflammatory chronic visceral pain in IBD. Method We used the post-inflammatory DSS mouse model of chronic visceral pain. Ovariectomy was performed to study the effects of estrogen deficiency; sham surgery was performed as a control. Male, cycling female and ovariectomized female mice were given 2.5% DSS for five days and allowed to recover for 5 weeks. Somatic pain was evaluated using the hot plate and von Frey hair tests. Visceral pain was evaluated using the visceral motor reflex (VMR) to colorectal distension five weeks after DSS treatment. Visceral and somatic pain testing in cycling females was performed in diestrus. Result(s) Male, cycling female and ovariectomized female mice given DSS initially lost weight when compared to controls (p<0.0001). Cycling females displayed significantly decreased colitis severity when compared to males [Disease Activity Index at Day 12: 1.41 ± 0.41 cycling females, n=12; 4.41 ± 0.31 males, n=12; p<0.001] but increased severity compared to ovariectomized females [Disease Activity Index at Day 12: 2.0 ± 0.41 ovariectomized females, n=13; 4.77 ± 0.6 cycling females, n=13, p=0.0005]. Increased visceral hypersensitivity was seen in post-inflammatory cycling females compared to post-inflammatory males [VMR at 60mmHg, post-inflammatory cycling females 0.10 ± 0.016, n=10; post-inflammatory males 0.07 ± 0.007, n=10; p=0.032] and post-inflammatory ovariectomized females [VMR at 60mmHg, post-inflammatory sham females 0.072 ± 0.005, n=8; post-inflammatory ovariectomized females 0.047 ± 0.005, n=8; p=0.019]. Thermal hyperalgesia and mechanical allodynia were similar across all groups. Conclusion(s) These data suggest that estrogen plays an important role in the severity of colitis severity and post-inflammatory visceral pain. Understanding sex-specific differences in post-inflammatory visceral pain in IBD may allow us to define novel therapeutic approaches for IBD patients. Disclosure of Interest None Declared

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 score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.011
GPT teacher head0.217
Teacher spread0.206 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

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