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Record W4206978207 · doi:10.1093/ecco-jcc/jjab232.822

P701 Compositional and functional alterations of the gut microbiome are associated with impaired intestinal permeability in healthy relatives of patients with Crohn’s disease

2022· article· en· W4206978207 on OpenAlexafffund
Haim Leibovitzh, S H Lee, Meilan Xue, Juan A. Raygoza Garay, Cristian Hernández-Rocha, Karen Madsen, J. B. Meddings, David S. Guttman, Osvaldo Espin‐Garcia, Michelle I. Smith, Ashleigh Goethel, Paul Moayyedi, A. Hillary Steinhart, Remo Panancionne, Hien Q. Huynh, Kevan Jacobson, Guy Aumais, David Mack, María T. Abreu, C N Bernstein, John K. Marshall, Dan Turner, Wei Xu, Williams Turpin, Kenneth Croitoru

Bibliographic record

VenueJournal of Crohn s and Colitis · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of ManitobaUniversity of OttawaHôpital Maisonneuve-RosemontMcMaster UniversityMount Sinai HospitalLunenfeld-Tanenbaum Research InstituteUniversity of CalgaryChildren's Hospital of Eastern OntarioPopulation Health Research InstituteUniversity of AlbertaUniversity of British ColumbiaPublic Health OntarioBC Children's HospitalUniversity of Toronto
FundersLeonard M. Miller School of MedicineHebrew University of JerusalemMax Rady College of Medicine, University of ManitobaUniversity of AlbertaBC Children's HospitalMcMaster UniversityUniversity of OttawaUniversity of Miami
KeywordsCohortMicrobiomeIntestinal permeabilityGut floraInternal medicineGastroenterologyPhysiologyMedicineGut microbiomeBody mass indexLactuloseEndocrinologyBiologyImmunologyBioinformatics

Abstract

fetched live from OpenAlex

Abstract Background The gut microbiome may play a role in gut barrier homeostasis including epithelial barrier integrity and function. However, data are scarce and limited to animal studies. We aimed to assess if alterations in the gut microbiome are associated with altered intestinal permeability. Methods We utilized the Genetic Environmental Microbial (CCC GEM) cohort of healthy first-degree relatives of patients with Crohn’s disease. Gut barrier function was assessed using the ratio of urinary fractional excretion of lactulose to mannitol (LMR). Stool bacterial DNA was extracted and sequenced for the V4 hypervariable region of the 16S rDNA gene using MiSeq and processed using QIIME2. PICRUSt2 was used to impute Microbial functions. In order to identify robust associations, the overall cohort was divided based on geographic region into a North American discovery cohort (n=2,472) and non-North American external validation cohort (n=655). LMR>0.025 was defined as abnormal. LMR-microbiome associations were assessed using generalized estimating equation multivariable regression model and Random Forest (RF) classifier algorithm. q<0.05 was considered significant when multiple tests were performed. Results The median age of the entire cohort was 17.0 years [IQR 12.0; 24.0], 52.6% were females and 25.4% had LMR>0.025. In the discovery cohort, subjects with LMR>0.025 had markedly reduced alpha diversity (Chao1 index, estimate= -0.0037, p=4.0e-04) and altered beta diversity (Bray-Curtis dissimilarity index, PERMANOVA: pseudo-F statistic = 2.99, p=1.0e-03). Eight bacterial genera and 52 microbial pathways were identified to be associated with LMR>0.025 (q<0.05). The compositional associations were replicated in four genera (Adlercreutzia [odds ratio(OR)=0.74, 95% confidence interval (CI) 0.6–0.91], Clostridia-UCG-014 [OR=0.71, 95%CI 0.59–0.86], Clostridium-sensu-stricto-1 [OR=0.75, 95%CI 0.61–0.92] and Colidextribacter [OR=1.65, 95%CI 1.2–2.26]). The pathway associations were replicated in eight pathways (biosynthesis of glutamate [OR=0.4, 95%CI 0.21–0.74], tryptophan [OR=0.06, 95%CI 0.01–0.27] and threonine [OR=0.038, 95%CI 0.003–0.41], among others). Bacterial community composition was associated with gut barrier homeostasis as defined by the RF analysis (p= 1.4e-6). Conclusion Gut microbiome community composition and microbial pathways are associated with gut barrier function. These findings may identify microbial targets that enhance barrier function.

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)0.002
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 score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.006
GPT teacher head0.209
Teacher spread0.203 · 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
Published2022
Admission routes2
Has abstractyes

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