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Record W2085899816 · doi:10.1016/j.crohns.2012.01.011

Treatment of Crohn's disease patients with infliximab is detrimental for the survival of Mycobacterium avium ssp. paratuberculosis within macrophages and shows a remarkable decrease in the immunogenicity of mycobacterial proteins

2012· letter· en· W2085899816 on OpenAlexaff
Horacio Bach, Greg Rosenfeld, Brian Bressler

Bibliographic record

VenueJournal of Crohn s and Colitis · 2012
Typeletter
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsParatuberculosisMycobacteriumMicrobiologyMonoclonal antibodyImmune systemMycobacterium avium subspecies paratuberculosisCrohn's diseaseImmunogenicityBiologyMacrophageCytokineTumor necrosis factor alphaAntibodyImmunologyMycobacterium smegmatisDiseaseVirologyMedicineMycobacterium tuberculosisTuberculosisBacteriaIn vitroPathology

Abstract

fetched live from OpenAlex

Dear Sir, The association between Mycobacterium avium ssp. paratuberculosis (MAP) and Crohn's disease (CD) although debatable, is supported by several studies1 which have reported the detection or isolation of MAP from human tissues2 including serum,3 body fluids (breast milk),4 and high levels of TNF-α was found secreted by the gut mucosa in MAP-associated CD patients.5 Infliximab is a monoclonal antibody that specifically inhibits TNF-α and is used as a current therapy for CD. Recently, Nakase et al.6 demonstrated that THP-1 cells infected with MAP induced the production of a higher amount of TNF-α when compared to macrophages infected with either Mycobacterium avium or Mycobacterium smegmatis , suggesting that MAP is directly involved in the upregulation of this cytokine. Previously, we have reported that MAP is able to infect, reside, and multiply intracellularly in human macrophages,7,8 suggesting that the pathogen is able to subvert the host's immune response to avoid its own demise even at the earliest stage of the infection. Moreover, we have reported that CD patients,8 but not …

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 score0.273
Threshold uncertainty score0.881

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.017
GPT teacher head0.268
Teacher spread0.251 · 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".

Quick stats

Citations20
Published2012
Admission routes1
Has abstractyes

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