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Record W2726379577 · doi:10.1161/atvb.36.suppl_1.153

Abstract 153: Molecular Mimicry Between Malondialdehyde and Group A Streptococcus Contribute to the Natural Selection of Conserved Innate Immune Response

2016· article· en· W2726379577 on OpenAlexaff
Ayelet Gonen, Jason N. Cole, Romulo Oliveira, Cody J. Diehl, Young Sup Byun, Chelsea Stewart, Cosmo Z. Buffalo, Jeffry Copps, Joshua Olson, Xuchu Que, Erica N. Montano, Christoph J. Binder, Sotirios Tsimikas, Partho Ghosh, Victor Nizet, Joseph L. Witztum

Bibliographic record

VenueArteriosclerosis Thrombosis and Vascular Biology · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAtherosclerosis and Cardiovascular Diseases
Canadian institutionsStuart Olson (Canada)
Fundersnot available
KeywordsInnate immune systemBiologyPattern recognition receptorEpitopeMicrobiologyImmune systemProinflammatory cytokinePathogenImmunodominanceImmunologyAntibodyInflammation

Abstract

fetched live from OpenAlex

Innate immunity utilizes evolutionarily conserved pattern recognition receptors (PRRs) to provide an early and effective response against Pathogen-Associated Molecular Patterns (PAMPs) on microbial pathogens and/or against Danger Associated Molecular Patterns (DAMPs) on endogenous modified-self structures. Atherosclerosis is a chronic inflammatory disease in which lipid peroxidation is greatly increased leading to the generation of OxLDL, which contains a variety of proinflammatory oxidation-specific neoepitopes (OSE), such as phosphocholine (PC) containing oxidized phospholipids (OxPL). Our group has shown that OSEs are DAMPs, to which has evolved a concerted innate immune response mediated by PRRs. For example, CD36, CRP and IgM E06 all recognize the PC of OxPL, but also the PC on apoptotic cells as well as the PC on the cell wall of S. pneumonia (but not as part of a lipid). Accordingly, we postulated that both endogenous DAMPs and exogenous PAMPs provide natural selection for PPR responses to PC. Malondialdehyde (MDA) is another prominent OSE target of three different PRR’s: SR-A, CFH, and the IgM NAb E014. Thus, we hypothesized that EO14 should also recognize an epitope/mimotope on an infectious pathogen. We screened a pathogen library with E014 and discovered it avidly bound to group A streptococcus (GAS). Because it was known that CFH also bound to GAS, and specifically to protein M, the major virulence factor of GAS, we used GAS with and without protein M to show that E014 specifically bound to protein M. Using a series of recombinant protein M fragments, we identified a 125 aa sequence required for binding. Using a synthetic peptide array to generate 15 aa-length overlapping peptides, we identified a 24 aa mimitope that E014 bound. We subsequently showed immunological cross reactivity between GAS, Protein M, the mimotope, and MDA in vitro and in vivo in mice and humans. Further, compared to immunization of mice with protein M, immunization with MDA-LDL provided partial protection against lethal infection with GAS. These data support the hypothesis that OSE are important targets of innate immunity and both oxidative events and pathogens have contributed to the natural selection of potent, shared innate immune responses to oxidation-specific epitopes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.014
GPT teacher head0.244
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2016
Admission routes1
Has abstractyes

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