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Record W2791750040 · doi:10.1093/jcag/gwy008.122

A121 DESIGNER PROBIOTICS AS A NOVEL THERAPEUTIC AGAINST INFLAMMATORY BOWEL DISEASE.

2018· article· en· W2791750040 on OpenAlexaff
SK Gill, Artem Godovannyi, Jacqueline A. Barnett, C S Quin, D L Gibson

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldMedicine
TopicMedicine and Dermatology Studies History
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsProbioticMedicineColitisInflammatory bowel diseaseImmune systemCecumDiseaseImmunologyGastroenterologyInternal medicineBiology

Abstract

fetched live from OpenAlex

Inflammatory bowel disease is a major health burden in developed countries. Current pharmaceutical therapies are risky or ineffective for long-term use and are associated with severe side effects. Therefore, new alternative therapies for IBD are needed. Probiotic therapy, which is the ingestion of non-pathogenic microorganisms to provide health benefits, is considered a potential treatment option. However, clinical trials using probiotics for IBD treatment have yielded very inconsistent and difficult to interpret data. There is a lack of evidence to support the use of probiotic supplementation in IBD management. We have created genetically engineered probiotics that we hypothesize are more efficacious than current commercial probiotics. The overall aim is to determine if the novel designer probiotics will result in better efficacy of probiotic therapy against IBD. Post-weaned female C57BL/6 mice (n=8) were given either of the two designer probiotics (007A or 007B) or the unmodified parent strains with 1x109 CFU/ml via oral gavage for 1–3 days. The mice were challenged with 3.5% DSS via drinking water for 7 days to induce DSS-induced murine colitis. Weight change and clinical scores were assessed. Intestinal immune responses including histopathological scoring, immune cell infiltration, and cytokine analysis were performed. Both designer probiotics, 007A and 007B, were shown to be more efficacious during colitis compared to the unmodified parent strains. Macroscopic examination revealed modified designer probiotics have less bloody and loose stool in their colon and cecum compared to the unmodified parent strains. Both designer probiotic groups lost significantly less body weight and had lower clinical scores during the DSS-induced colitis period. The unmodified parent DSS group lost up to 15% of their initial starting body weight and had high clinical scores, indicating humane endpoint. Our designer probiotic supplementation showed significantly fewer gene expression levels of pro-inflammatory markers such as TNF-α, IFN-γ, IL-1β, and IL-17a. In contrast, the unmodified parent strains showed elevated expression of many pro-inflammatory markers, indicating no improvement during IBD. Our proprietary designer probiotics control inflammation and associated symptoms during colitis. This research could result in genetically improved probiotics leading to better efficacy and a potential alternative therapeutic option for IBD patients. CCC

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 score0.005

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.234
Teacher spread0.222 · 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
Published2018
Admission routes1
Has abstractyes

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