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Record W2793842278 · doi:10.1093/jcag/gwy009.098

A98 PLASMA BIOMARKER MAY DETECT DISEASE-DEPENDENT ALTERATIONS IN GUT MICROBIOTA IN IBD: A PILOT STUDY

2018· article· en· W2793842278 on OpenAlexaff
Susan M. Nelson, K McIntosh, R Kim, Aze Wilson, Vipul Jairath, Crystal L. Schmerk, Wendy A. Teft

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsWestern University
Fundersnot available
KeywordsGut floraBacteroidesMicrobiomeLactobacillusBifidobacteriumMicrobiologyInternal medicineCholinePrevotellaBiomarkerUlcerative colitisGastroenterologyMetabolomeDysbiosisTrimethylamine N-oxideFecesPopulationMetaboliteChemistryMedicineBiologyImmunologyFood scienceBacteriaDiseaseBiochemistryBioinformaticsTrimethylamine

Abstract

fetched live from OpenAlex

Ulcerative colitis (UC) is chronic, often relapsing, remitting inflammation affecting the rectum to proximal colon. UC activity is linked to reduced gut microbial diversity. Trimethylamine-N-oxide (TMAO) is a quantifiable plasma metabolite produced from dietary choline and carnitine through a microbial-mammalian pathway. A previous study by our group demonstrated decreased plasma TMAO was associated with UC. It was hypothesized that changes in the gut microbial profile accounted for differences in plasma TMAO concentrations. To evaluate the gut microbial profile of subjects with UC and healthy controls to determine if it is predictive of plasma TMAO concentrations. Thirty-three subjects (13 control (C), 20 UC) were recruited and informed consent was obtained. Demographic and disease activity data were collected. Liquid chromatography-tandem mass spectrometry was used to measure TMAO and dietary choline plasma concentrations. A combined 132 sigmoid colon pinch biopsies were taken during colonoscopy to quantify the mucosal-adherent microbial profile. The abundance of five bacterial genera (Bacteroides prevotella (Bp), Clostridium XIV (CXIV), Bifidobacterium longum (Bl), Lactobacillus (L), Enterobacteriaceae (E)), representative of the 4 main bacterial phyla present in the gastrointestinal tract, were quantified from biopsies using real-time PCR. TMAO plasma concentrations were reduced in UC compared to healthy controls (UC: 1.027 ± 0.896, C: 5.478 ± 3.655, p <0.001) and when adjusted for dietary choline plasma concentrations (UC: 0.149 ± 0.232, C:0.643 ± 0.388, p<0.0001). Relative to the total microbiome, Enterobacteriaceae, Lactobacillus and Clostridium XIV were decreased in the UC population compared to the control population (E: UC: 0.714 ± 1.67, C: 1.16 ± 2.49, p=0.28; L: UC: 0.035 ± 0.043, C: 0.042 ± 0.057, p=0.72; CXIV, UC: 1.16 ± 1.51, C: 2.82 ± 5.09, p=0.28). Conversely, in the UC population, Bacteroides prevotella and Bifidobacterium longum were increased relative to the total microbiome (Bp: UC: 6.37 ± 7.22, C: 3.59 ± 2.53, p=0.15; Bl: UC: 0.32±-0.51, C: 0.11 ± 0.15, p=0.11). Studies of the microbiome did not reach statistical significance. This pilot study shows that TMAO plasma concentrations are significantly reduced in patients with UC, even when normalized for choline plasma concentrations. Microbial profiles appear to be different in individuals with UC compared to a healthy population. TMAO-producing Enterobacteriaceae, Lactobacillus and Clostridium XIV were under-represented compared to the total microbiome in individuals with UC. This suggests that differences in the gut microbial profile in UC versus healthy individuals may be detectable by a plasma-based biomarker. Expansion of the sample size is needed to confirm these findings. CAG, CCC, CIHR

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)0.001
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.013
GPT teacher head0.253
Teacher spread0.240 · 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
Published2018
Admission routes1
Has abstractyes

Explore more

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