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Record W2409254493 · doi:10.1385/1-59259-688-6:169

Immunostimulatory CpG Motifs and DNA Vaccines

2003· article· en· W2409254493 on OpenAlexaff
Risini D. Weeratna, Arthur Μ. Krieg, Heather L. Davis

Bibliographic record

VenueHumana Press eBooks · 2003
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Response and Inflammation
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsCpG siteImmune systemSecretionInnate immune systemBiologyCpG OligodeoxynucleotideLytic cycleCell biologyDNAImmunologyGeneDNA methylationGene expressionGeneticsBiochemistry

Abstract

fetched live from OpenAlex

Bacterial DNA, but not vertebrate DNA, causes direct stimulation of several components of the vertebrate immune system. This activation is due to the presence of unmethylated CpG dinucleotides (1), which are present at the expected frequency in bacterial DNA, but are underrepresented ("CpG suppression") and methylated in vertebrate DNA (2). The immunostimulatory effects include direct induction of B cell proliferation and immunoglobulin (Ig) secretion (1), as well as activation of monocytes, macrophages, and dendritic cells to upregulate their expression of costimulatory molecules, which drive immune responses, and secreting a variety of cytokines, including high levels of IL-12 (3,4). These cytokines then, in turn, stimulate natural killer (NK) cells to secrete IFN-γ and to have increased lytic activity (5). Overall, CpG DNA induces a Th1 like pattern of cytokine production dominated by IL-12 and IFN-γ, with little secretion of Th2 cytokines (4,5). These effects can also be obtained with synthetic oligonucleotides (ODN) (6,7) or plasmid DNA vectors (8) containing CpG immunostimulatory motifs. From a teleological view, it appears likely that the rapid immune activation in response to CpG DNA may have evolved as one component of the innate immune defense mechanisms that recognize structural patterns specific to microbial molecules.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.528
Threshold uncertainty score0.552

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 head0.023
GPT teacher head0.235
Teacher spread0.212 · 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 designBench or experimental
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

Citations3
Published2003
Admission routes1
Has abstractyes

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