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Microarray Analysis of Crohnʼs Disease and Correlation With Traditional Clinical and Histologic Features

2015· article· en· W2978101303 on OpenAlexaff
Vojislav Jovanović, Jessica Chang, Chelsea Morin, Aducio Thiesen, Richard N. Fedorak, Philip F. Halloran, Brendan P. Halloran

Bibliographic record

VenueThe American Journal of Gastroenterology · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsThe Metabolomics Innovation CentreUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsLamina propriaUlcerative colitisPathologyMedicineInflammatory bowel diseasePathogenesisCrohn's diseaseColitisMicroarrayDiseaseGene expressionEpitheliumGastroenterologyBiologyGene

Abstract

fetched live from OpenAlex

Introduction: As a T cell-mediated disease of the gastrointestinal epithelium, Crohn's disease (CD) is likely to share pathogenic elements with other T cell-mediated inflammatory diseases. Recently we showed that ulcerative colitis (UC) manifested large-scale molecular disturbances that correlated with endoscopic and histologic features(IBD 20: 2353, 2014). We hypothesized that ileal CD would manifest similar disturbance. Methods: We studied 27 patients in 31 biopsies with ileal CD, characterizing the clinical, endoscopic and histological features and defined the mRNA phenotype using microarray analysis of ileal biopsies. We measured the expression of pathogenesis-based transcript sets (PBTs) previously published for ulcerative colitis representing effector T cells, macrophages, IFNG effects, and parenchymal injury-repair response and dedifferentiation (table 1). The molecular features were then correlated with conventional assessments including clinical features (modified Harvey Bradshaw index(HBI), simple endoscopic score for CD(SES-CD), c-reactive protein, albumin) and histologic features (lamina propria neutrophilic and lymphoplasmacytic infiltrate, crypt abscess, ulcers present and crypt architectural distortion). Results: CD ileal biopsies arranged by injury-repair score (IRRAT) manifested coordinate transcript changes with IFNG-induced transcripts (GRIT), macrophage transcripts (QCMAT), and injury-repair transcripts increasing while parenchymal transcripts (PT) decreased (figure 1). Lymphoplasmacytic infiltrate was significantly correlated with IRRAT (P=0.005) and negatively correlated with parenchymal transcript expression (P=0.01). Neutrophilic lamina propria infiltrate (p=0.03) and number of ulcers (p=0.03) also correlated with IRRAT. No significant correlation was seen between the molecular features and the HBI (P=0.5), SES-CD(P=0.8) or CRP (0.2).Figure 1Table 1: Pathogenesis-based transcript sets (PBTs)Conclusion: The molecular phenotype of CD manifests a large-scale coordinate disturbance similar to that in UC and other T cell-mediated diseases, reflecting changes in inflammatory cells and parenchymal elements and correlating with histologic assessment, especially the lymphoplasmacytic and neutrophilic lamina propria infiltrate, but not with the clinical and endoscopic features. This raises further questions about our clinical and endoscopic assessments of CD. Novel molecular systems for quantitating and staging the disease elements in the tissues in CD may add a significant new dimension to patient management beyond our current standards.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.015
GPT teacher head0.256
Teacher spread0.241 · 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
Published2015
Admission routes1
Has abstractyes

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