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Use of Artificial Cell Microcapsule Containing Thalidomide for Treating TNBS-induced Crohn's Disease in Mice

2014· article· en· W2147897451 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCurrent Drug Delivery · 2014
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsMcGill University
FundersCanadian Institutes of Health Research
KeywordsThalidomideMyeloperoxidaseCrohn's diseaseTumor necrosis factor alphaMedicinePharmacologyInflammationNitric oxideIn vivoInterleukinNecrosisImmunologyChemistryDiseaseCytokineInternal medicineBiology

Abstract

fetched live from OpenAlex

In this study, we examined the in-vivo characteristics of a novel microencapsulated thalidomide formulation in a murine model of experimental Crohn's disease. Crohn's disease was induced with a single intra-colonic injection of 120 mg/kg of bodyweight of 2,5,6-trinitrobenzene sulfonic acid (TNBS) dissolved in 30% ethanol in Balb/c mice. Level of tumor necrosis factor alpha (TNF-α), interleukin one beta (IL-1β), interleukin 6 (IL-6) and nitric oxide (NO) were measured in tissue homogenate. Moreover, myeloperoxidase (MPO) activity was determined to assess the extent of neutrophil infiltration. Dose response study showed that treating the mice with microencapsulated thalidomide (100 mg/kg of bodyweight) for two weeks significantly decreased the degree of intestinal inflammation related to Crohn's disease. Higher and lower doses (0, 25, 50 and 200 mg/kg of bodyweight) did not exhibit comparable effects. The present study validates the success of alginate-poly-L-lysine-alginate (APA) microcapsules containing thalidomide in reducing colonic inflammation, and proposes a potential remedy for Crohn's disease.

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.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.686

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.035
GPT teacher head0.263
Teacher spread0.228 · 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