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Record W2056666667 · doi:10.1042/bst0351479

Nod1 and Nod2 in innate immunity and human inflammatory disorders

2007· review· en· W2056666667 on OpenAlex
Lionel Le Bourhis, Szilvia Benkő, Stephen E. Girardin

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.

Bibliographic record

VenueBiochemical Society Transactions · 2007
Typereview
Languageen
FieldImmunology and Microbiology
TopicImmune Response and Inflammation
Canadian institutionsCanada Research ChairsUniversity of Toronto
Fundersnot available
KeywordsNOD2NOD1NodInnate immune systemPeptidoglycanPyrin domainInflammasomeBiologyInflammationPattern recognition receptorImmunologyCell biologySignal transductionImmune systemTLR4GeneticsBacteria

Abstract

fetched live from OpenAlex

Nod (nucleotide-binding oligomerization domain) 1 and Nod2 are intracellular PRMs (pattern-recognition molecules) of the NLR (Nod-like receptor) family. These proteins are implicated in the detection of bacterial peptidoglycan and regulate pro-inflammatory pathways in response to bacteria by inducing signalling pathways such as NF-kappaB (nuclear factor kappaB) and MAPKs (mitogen-activated protein kinases). The Nod proteins act independently of the TLR (Toll-like receptor) cascade, but potently synergize with the latter to trigger innate immune responses to microbes. Most importantly, mutations in Nod2 have been shown to confer susceptibility to several chronic inflammatory disorders, including Crohn's disease, Blau syndrome and early-onset sarcoidosis, underscoring the role of Nod2 in inflammatory homoeostasis. This review summarizes the most recent findings in the field of Nod1 and Nod2 research.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.994
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.020
GPT teacher head0.296
Teacher spread0.276 · 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