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Record W2922391601 · doi:10.1093/jcag/gwz006.088

A89 EMERGING THERAPEUTIC TARGETS FOR INFLAMMATORY BOWEL DISEASE-COLORECTAL CANCER: CASE STUDY ANALYSIS

2019· article· en· W2922391601 on OpenAlexaff
Y. Guo, Mohamed Salla, H Dooky, Levinus A. Dieleman, Shairaz Baksh

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Treatments and Studies
Canadian institutionsWomen and Children’s Health Research InstituteUniversity of Alberta
Fundersnot available
KeywordsInflammationAMPKMedicineInflammatory bowel diseaseCancerColorectal cancerImmunologyCancer researchProtein kinase AKinaseInternal medicineDiseaseBiologyCell biology

Abstract

fetched live from OpenAlex

Persistent inflammation can trigger altered epigenetic, inflammatory and bioenergetics states. Inflammatory bowel disease (IBD) is a heterogeneous disease with an abnormal inflammatory state and subsequent metabolic syndrome disorder with abnormal leptin and alterations in the metabolic kinase, AMP-activated protein kinase (AMPK). Altered inflammation in IBD has been well studied and > 90% of current IBD therapeutics are directed to inhibiting altered inflammatory elements that drive inflammation of the epithelial cells of the colonic crypt. We hypothesize that to completely resolve mucosal inflammation we must (i) Inhibit inflammatory mediators (of which RIPK2 is a key player) and (ii) resolve secondary effects of inflammation such a reset of metabolic dysfunction (of which AMPK is key player). If these are not resolved in a timely manner, predisposition to the malignant state will occur The aims of this study are to explore correlations between key inflammatory/metabolic markers, clinical severity of disease and malignant transformation in 4 case study IBD-CRC patients to uncover emerging new therapeutic players. AMPK and RIPK2 activity will be tracked with phosphospecific antibodies. Immunohistochemistry and immunoblotting carried out as described by Gordon et al., PLOSone 2013. All patients have been consented under our IBD ethics protocol (Pro00001523 and Pro00077868). Using longitudinal tissue sections from IBD-CRC case study patients, we explored the expression/activation levels of markers of epigenetic change (RASSF1A), inflammation (the obligate NOD2 kinase, RIPK2) and metabolism (AMPK) in order to gain insight into molecular drivers of disease. We confirm that the loss in the activity of AMPK and gain of activity of RIPK2 drives the inflammatory phenotype of the gut leading into the cancer state. Interestingly, active RIPK2 remains elevated in patients in patients that were undergoing IBD therapeutics. These results suggest that directed therapeutics to RIPK2 may be a useful combination therapy to eliminate a robust driver of inflammation and malignant transformation. Additional correlations will be presented. 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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.009
GPT teacher head0.270
Teacher spread0.261 · 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
Published2019
Admission routes1
Has abstractyes

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