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Record W2137074020 · doi:10.1093/infdis/jit622

N-Glycolylated Peptidoglycan Contributes to the Immunogenicity but Not Pathogenicity of Mycobacterium tuberculosis

2013· article· en· W2137074020 on OpenAlexafffund
Jesse M. Hansen, Solmaz A. Golchin, Frédéric J. Veyrier, Pilar Domenech, Ivo G. Boneca, Abul Azad, Murugesan V. S. Rajaram, Larry S. Schlesinger, Maziar Divangahi, Michael B. Reed, Marcel A. Behr

Bibliographic record

VenueThe Journal of Infectious Diseases · 2013
Typearticle
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsMcGill University Health Centre
FundersCanadian Institutes of Health Research
KeywordsMuramyl dipeptideImmunogenicityMycobacterium tuberculosisMicrobiologyMycolic acidPeptidoglycanBiologyEx vivoTuberculosisMycobacteriumIn vivoTumor necrosis factor alphaImmunologyImmune systemBacteriaGeneMedicineBiochemistryPathology

Abstract

fetched live from OpenAlex

Mycobacteria produce an unusual, glycolylated form of muramyl dipeptide (MDP) that is more potent and efficacious at inducing NOD2-mediated host responses. We tested the importance of this modified form of MDP in Mycobacterium tuberculosis by disrupting the gene, namH, responsible for this modification. In vitro, the namH mutant did not produce N-glycolylated muropeptides, but there was no alteration in colony morphology, growth kinetics, cellular morphology, or mycolic acid profile. Ex vivo, the namH mutant survived and replicated normally in murine and human macrophages, yet induced diminished production of tumor necrosis factor α. In vivo, namH disruption did not affect the bacterial burden during infection of C57BL/6 mice or cellular recruitment to the lungs but modestly prolonged survival after infection in Rag1(-/-) mice. These results indicate that the modified MDP is an important contributor to the unusual immunogenicity of mycobacteria but has a limited role in the pathogenesis of M. tuberculosis infection.

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)0.004
Version: codex-gemma-dda1882f352aValidation 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 score0.525
Threshold uncertainty score0.496

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
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 head0.011
GPT teacher head0.271
Teacher spread0.259 · 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

Citations55
Published2013
Admission routes2
Has abstractyes

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