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Record W4212823401 · doi:10.1093/jcag/gwab049.049

A50 IMPACT OF SHORT CHAIN FATTY ACIDS ON PATHOGENICTY OF COMMENSAL BACTERIA IN PEDIATRIC INFLAMMATORY BOWEL DISEASES

2022· article· en· W4212823401 on OpenAlexaff
Michael Bording‐Jorgensen, T Gartke, Heather Armstrong, Eytan Wine

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsUniversity of ManitobaUniversity of Alberta
Fundersnot available
KeywordsMicrobiologyBacteriaPathogenic bacteriaButyrateBiologyAnaerobic bacteriaShort-chain fatty acidRuminococcusBacteroidesGut floraInflammatory bowel diseaseBacteroides fragilisBifidobacteriumClostridiumBifidobacterium longumMicrobiomeLactobacillusImmunologyAntibioticsFecesMedicineFermentationBiochemistryDisease

Abstract

fetched live from OpenAlex

Abstract Background Dietary fibers are fermented by microbiota into many different compounds including short-chain fatty acids (SCFA). The gut microenvironment is essential not only for human health but also in maintaining a rich biodiversity of bacterial species. It is well known that the microbiome is altered in Inflammatory Bowel Diseases (IBD), which likely changes the microenvironment and has other health effects on individuals with IBD. Pathobionts are organisms that can induce pathology under specific conditions, and several have already been associated with IBD, such as adherent invasive Escherichia coli (AIEC) and Helicobacter hepaticus. Although these bacteria have been associated with IBD, it is still largely unknown what conditions make these bacteria become pathogenic. Aims Determine the role of SCFA composition on the pathogenic potential of commensal bacteria isolated from non-IBD and IBD pediatric patients. Methods Anaerobic bacteria were isolated during colonoscopy from pediatric IBD and non-IBD patients and identified using 16S sequencing. PMA-activated human monocytes (THP-1) and colonic epithelial cells (Caco2) were grown in the presence of SCFA (acetate, butyrate, formate, propionate, and succinate). The ability of commensal bacteria ( Bacteroides fragilis, Clostridium innocuum, Ruminococcus, Parabacteroides merdae, Bifidobacterium infantis and E. coli HB101) and the pathobiont AIEC to invade cells was assessed using a gentamicin protection assay. Immune activation was quantified with IL-1b and IL-6 by ELISA, as well as reactive oxygen species (ROS) using DCFDHA. Results The SCFA propionate and formate significantly decreased invasion for HB101 and LF82 into macrophages but not epithelial cells. Bacteria isolated from an IBD environment had a higher invasion potential independent of the addition of SCFA, compared to bacteria from a non-IBD environment. However, butyrate was found to significantly increase invasion of non-IBD B. fragilis into Caco2 cells but not macrophages. Bacteria isolated from IBD patients tended to have a higher inflammatory response with both elevated IL-1b as well as ROS production. Conclusions Microenvironment changes, such as in SCFA concentrations, during a disease state can affect the host response to microbes including commensals. Commensal bacteria from IBD patients tend to be more proinflammatory, suggesting that they play a role in driving inflammation. SCFA are beneficial factors for gut health; however, what is still unknown is the interaction between microbes and the host after microenvironmental shifts that likely causes bacterial stress. Understanding the host-microbe interactions and the role diet can have on this dynamic relationship has the potential for discovering new therapeutic options for those suffering from IBD. Funding Agencies CIHRWeston Family Foundation

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.005
GPT teacher head0.230
Teacher spread0.224 · 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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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