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Record W4407285823 · doi:10.1093/jcag/gwae059.176

A176 SEROLOGICAL HEAVY METAL ASSESSMENT IN PERSONS WITH IBD

2025· article· en· W4407285823 on OpenAlexaff
Samuel Narvey, Casandra L. Dolovich, Çharles N. Bernstein

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2025
Typearticle
Languageen
FieldMedicine
TopicOccupational exposure and asthma
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsSerologyHeavy metalsMedicineEnvironmental healthImmunologyAntibodyEnvironmental chemistryChemistry

Abstract

fetched live from OpenAlex

Abstract Background Inflammatory Bowel Disease (IBD), including Crohn’s disease (CD) and ulcerative colitis (UC), are chronic conditions of aberrant gut inflammation. The increasing prevalence of IBD in parallel with increasing human exposure to heavy metals (HMs) has raised concern regarding the contribution of HMs to gut pathology. Emerging evidence has implicated HMs as influential factors in IBD pathogenesis, however, our current understanding of how HMs impact gut barrier integrity, inflammation, and dysbiosis is limited in the context of IBD and deserving of further attention. Aims The preliminary study aim was to establish a foundational understanding of serum levels of certain HMs in IBD. Additionally, we aimed to characterize a correlation between HM concentrations in serum and gut tissue. Methods Using Inductively Coupled Plasma Mass Spectrometry (ICP-MS), serum concentrations of Aluminum (Al), Chromium (Cr), Mercury (Hg), and Titanium (Ti) were measured in individuals with CD, UC, multiple sclerosis (MS), and in healthy controls (HC), where MS was used as an immune-mediated inflammatory disease control. A bivariate analysis was used to evaluate associations between HM levels and specific disease groups. Logistic regression analysis was used to assess HM outcomes predicted by disease groups and healthy controls while controlling for demographic factors. Results Relative to HCs, the proportion of higher serum levels of Al (79% vs. 38.6%, p<0.001), and Hg (63% vs 37.2%, p<0.001) were greater in CD. Whereas higher Ti levels were lower in CD (59%), UC (14.0%), and MS (6.1%) relative to HCs (84.1%); p-values <0.0002, <0.0001, and 0.001 respectively. In MS, the proportion of higher levels of Cr were greater compared to HCs (83.7% vs 38.0%, p<0.001) and Hg (57.1% vs 37.2%,p=0.025).When controlling for demographic factors, the odds of having higher serum Al (OR=6.41[CB1], 95%CI 3.04-13.5) and Hg (OR=2.27, 95%CI 1.13-4.57) were significantly greater in CD relative to HCs. In contrast, the odds of having elevated serum Ti were significantly lower in CD (OR=0.25, 95%CI 0.11-0.57) and UC (OR=0.02, 95%CI 0.01-0.08) relative to HCs. The odds of having increased Cr were 12 times greater for MS relative to HC [OR=12.33, 95%CI (3.83-39.7)]. In our investigation of gut biopsies, we did not find a correlation between HM levels in serum and intestinal tissue. Conclusions Our investigation demonstrated significant differences in serum HM levels between CD, UC, MS, and HCs. These results support the need for further exploration into the specific involvement of HMs in IBD. Funding Agencies None

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.254
Threshold uncertainty score0.758

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.262
Teacher spread0.254 · 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 teacher head, 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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Citations1
Published2025
Admission routes1
Has abstractyes

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