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Record W2979353094 · doi:10.1128/mbio.02343-19

Antibodies to Cryptic Epitopes in Distant Homologues Underpin a Mechanism of Heterologous Immunity between<i>Plasmodium vivax</i>PvDBP and<i>Plasmodium falciparum</i>VAR2CSA

2019· article· en· W2979353094 on OpenAlexafffund
Catherine J. Mitran, Angie Mena, Sédami Gnidehou, Shanna L. Banman, Eliana Arango, Bárbara A. S. Lima, Hazel Lugo, Aravindhan Ganesan, Ali Salanti, Anthony K. Mbonye, Francis B. Ntumngia, Khaled Barakat, John H. Adams, Flora Satiko Kano, Luzia H. Carvalho, Amanda Elena Maestre, Michael F. Good, Stephanie K. Yanow

Bibliographic record

VenuemBio · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsUniversity of Alberta
FundersNational Institute of Environmental Health SciencesNational Institute of Allergy and Infectious DiseasesNational Health and Medical Research CouncilWomen and Children's Health Research InstituteNatural Sciences and Engineering Research Council of CanadaChildren's Health Research InstituteFundación para el futuro de ColombiaAlberta InnovatesUniversity of AlbertaCanadian Institutes of Health ResearchUniversidad de AntioquiaMitacsNational Institutes of HealthGovernment of Canada
KeywordsPlasmodium falciparumBiologyPlasmodium vivaxHeterologousEpitopeVirologyImmunityMalariaMechanism (biology)Plasmodium (life cycle)Computational biologyAntibodyParasite hostingEvolutionary biologyGeneticsImmune systemImmunologyGeneComputer science

Abstract

fetched live from OpenAlex

In this work, we describe a molecular mechanism of heterologous immunity between two distant species of Plasmodium . Our results suggest a mechanism that subverts the classic parasite strategy of presenting highly polymorphic epitopes in surface antigens to evade immunity to that parasite. This alternative immune pathway can be exploited to protect pregnant women from falciparum placental malaria by designing vaccines to cryptic epitopes that elicit broadly inhibitory antibodies against variant parasite strains.

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 score0.680
Threshold uncertainty score0.885

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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.011
GPT teacher head0.237
Teacher spread0.226 · 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

Citations25
Published2019
Admission routes2
Has abstractyes

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