MétaCan
Menu
← Back to cohort
Record W7063957434

The Association of Polymorphisms in Interleukin-6 (IL-6), Interleukin-10 (IL-10), IL-6 Receptor, and IL-10 Receptor Genes with the Risk of Pediatric Inflammatory Bowel Disease

2025· article· en· W7063957434 on OpenAlexaff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsCanadian Paediatric Society
Fundersnot available
KeywordsGenotypeGenotypingInflammatory bowel diseaseSingle-nucleotide polymorphismLogistic regressionDiseaseCase-control studyInflammatory Bowel Diseases
DOInot available

Abstract

fetched live from OpenAlex

Paulina Krawiec,1 Monika Lejman,2 Elżbieta Pac-Kożuchowska1 1Department of Pediatrics and Gastroenterology, Medical University of Lublin, Lublin, 20-059, Poland; 2Independent Laboratory of Genetic Diagnostics, Medical University of Lublin, Lublin, 20-059, PolandCorrespondence: Paulina Krawiec, Department of Pediatrics and Gastroenterology, Medical University of Lublin, Racławickie 1, Lublin, 20-059, Poland, Tel +48817185420, Email paulina.krawiec@umlub.plPurpose: Inflammatory bowel disease (IBD) results from a complex interplay between genetic, immune, and environmental factors. Despite a significant advancement in genetic studies, until now, little is known about genotype–phenotype correlations in children with IBD. Thus, we aimed to evaluate if polymorphisms in the Interleukin-6 (IL-6), Interleukin-10 (IL-10), IL-6 receptor, and IL-10 receptor genes are associated with the risk for pediatric IBD, its phenotype and severity.Patients and Methods: We enrolled 50 children with IBD in the study group and 20 healthy children to the control group. Demographic and clinical data of the subjects were collected from available electronic medical records. The DNA was extracted from peripheral blood samples of all individuals. TaqMan® single nucleotide polymorphism (SNP) genotyping assays were used to detect IL-10 variants RS3024505 and RS1800872, IL-10RA RS3135932, IL-10RB RS2834167, IL-6 RS10499563, and IL-6R RS4537545. A binary logistic regression model was used to evaluate the association between SNP’s and the risk of IBD, IBD onset, phenotype, and the need to use of steroids or biologics.Results: There was a significant difference in the genotype distribution of IL-6 RS10499563 between patients with IBD and control group (χ 2 = 10.96, p = 0.004). The distribution of genotype CT at IL-6 RS10499563 was higher, whereas the distribution of genotype CC and TT at IL-6 RS10499563 was lower in children compared to controls. There were no significant differences in the distribution of the other SNPs between the study and control groups. We found a significant association between the genotype CT at IL-6 RS10499563 and the risk of ulcerative colitis (OR 13.41; 95% CI: 1.58– 114.26; p = 0.02), but not Crohn’s disease (OR 7.60; 95% CI: 0.82– 70.16; p = 0.07).Conclusion: In this study, we found a significant association between the genotype CT at IL-6 RS10499563 and the risk of ulcerative colitis in children.Keywords: Crohn’s disease, ulcerative colitis, children, genetics

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
Bibliometrics0.0010.001
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 head0.037
GPT teacher head0.404
Teacher spread0.367 · 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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueDOAJ (DOAJ: Directory of Open Access Journals)→Same topicMagnetic confinement fusion research→French-language works237,207→