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Record W3006949064 · doi:10.1093/jcag/gwz047.044

A45 INFLAMMATION AND INTESTINAL PERMEABILITY IN PEDIATRIC SHORT BOWEL SYNDROME

2020· article· en· W3006949064 on OpenAlexaff
Jenna Dowhaniuk, Sam D Chorlton, Grace Teskey, Dessi Loukov, Chris P. Verschoor, Jillian Owens, Rose‐Frances Clause, Jeffrey M. Pernica, Dawn M. E. Bowdish, Michael G. Surette, Elyanne M. Ratcliffe

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2020
Typearticle
Languageen
FieldNursing
TopicClinical Nutrition and Gastroenterology
Canadian institutionsMcMaster Children's HospitalMcMaster University
Fundersnot available
KeywordsCalprotectinMedicineIntestinal permeabilityDysbiosisGastroenterologyInternal medicineImmunologyInflammationNOD2Inflammatory bowel diseaseGut floraDiseaseCrohn's disease

Abstract

fetched live from OpenAlex

Abstract Background Both intestinal dysbiosis and central-line associated blood stream infections (CLABSI) have been well documented in children with short bowel syndrome (SBS). Gastrointestinal microbiota prime and regulate mucosal immunity, therefore we hypothesize children with SBS may have longstanding increased intestinal permeability which could lead to mucosal inflammation and predispose to bacteremia. Aims We sought to investigate intestinal permeability as well as both intestinal and systemic activation of the inflammatory cascade in children with SBS. Methods Two cohorts of children with SBS were consented; with Group 1 including children with SBS requiring central venous catheter (CVC) for parenteral nutrition, and Group 2 including children with SBS without CVC. SBS groups were compared to three control groups including age and sex-matched children with CVC for hematologic disease (Group 3), children without a CVC (Group 4) and healthy adult controls (Group 5). To evaluate intestinal permeability, we quantified circulating bacterial products LPS and MDP through the binding of their respective receptors, TLR4 and NOD2. To determine colonic inflammation, fecal calprotectin was quantified from a single stool sample. Cytokine profiles included IFN-γ, IL-Iβ, IL-8, IL-10, IL-17, TNFα were quantified by Multiplex Immunoassay while gene expression of transcription factors FoxP3+, RORγT, TLR2, and TLR4, were determined by RNA extraction and quantitative PCR. Results 22 children were recruited in the study (Group 1 n=6, Group 2 n=6, Group 3 n=5, Group 4 n=5) as well as 10 adult control samples (Group 5). The median age of Group 1 was 67 months with a residual small intestine of 26.5cm (IQR 24.7–40) while those in Group 2 were 51 months with a residual small intestine of 55cm (IQR 31.2–89). Circulating bacterial products of LPS and MDP were not different between SBS groups and control children. Serum analysis of cytokine TNFα was significant (p<0.005) however multiple comparator analysis did not identify within group differences. Other cytokines did not differ between groups. Fecal calprotectin levels were not elevated however statistically lower in Group 1 (median 12.8mg/kg; IQR 9.3- 34.9) compared to in Group 2 (median 96mg/kg, IQR 71.6–188.2;) p <0.01. Relative quantification of RNA expression of FoxP3+, RORγT, TLR2, and TLR4 did not differ between groups. Conclusions Despite concern of compromised intestinal epithelial barrier function in children with SBS, this study did not detect differences in circulating bacterial products compared to control children as an assessment of intestinal permeability nor increased systemic inflammation. Further research is required to investigate intestinal epithelial barrier function over time and the mechanism of bacteremia in children with SBS. Funding Agencies CAGRegional Medical Associates of Hamilton

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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.015
GPT teacher head0.249
Teacher spread0.234 · 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
Published2020
Admission routes1
Has abstractyes

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