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Record W3163896268 · doi:10.1101/2021.05.10.21256855

<i>Plasmodium</i> infection induces cross-reactive antibodies to carbohydrate epitopes on the SARS-CoV-2 Spike protein

2021· preprint· en· W3163896268 on OpenAlexfundno aff
Sarah Lapidus, Feimei Liu, Arnau Casanovas‐Massana, Yile Dai, John D. Huck, Carolina Lucas, Jon Klein, Renata B. Filler, Madison S. Strine, Mouhamad Sy, Awa B. Dème, Aïda Sadikh Badiane, Baba Dièye, Ibrahima Ndiaye, Younous Diedhiou, Amadou Moctar Mbaye, Cheikh Tidiane Diagne, Inès Vigan-Womas, Alassane Mbengue, Bacary Djilocalisse Sadio, Moussa Moïse Diagne, Adam J. Moore, Khadidiatou Mangou, Fatoumata Diallo, Seynabou D. Sene, Mariama N. Pouye, Rokhaya Faye, Babacar Diouf, Nívison Nery, Federico Costa, Mitermayer Galvão dos Reis, M. Catherine Muenker, Daniel Z. Hodson, Yannick Mbarga, Ben Z. Katz, Jason R. Andrews, Melissa Campbell, Ariktha Srivathsan, Kathy Kamath, Elisabeth Baum, Ousmane Faye, Amadou Alpha Sall, Juan Carlos Quintero Vélez, Michael Cappello, Michael D. Wilson, Choukri Ben-Mamoun, Anyirékun Fabrice Somé, Roch K. Dabiré, Carole Else Eboumbou Moukoko, Jean Bosco Ouédraogo, Yap Boum, John Shon, Daouda Ndiaye, Adam V. Wisnewski, Sunil Parikh, Akiko Iwasaki, Craig B. Wilen, Albert I. Ko, Aaron M. Ring, Amy K. Bei

Bibliographic record

VenuemedRxiv · 2021
Typepreprint
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsnot available
FundersFogarty International CenterUniversité Cheikh Anta Diop de DakarLudwig Family FoundationAgence Universitaire de la FrancophonieHarvard T.H. Chan School of Public HealthNational Institutes of HealthYale University
KeywordsAntibodyEpitopeVirologyMalariaSialic acidSpike (software development)PandemicImmunologySerologyBiologyPopulationSpike ProteinCerebral MalariaImmunityPlasmodium falciparumDiseaseCoronavirus disease 2019 (COVID-19)MedicineImmune systemInfectious disease (medical specialty)BiochemistryInternal medicine

Abstract

fetched live from OpenAlex

ABSTRACT Individuals with acute malaria infection generated high levels of antibodies that cross-react with the SARS-CoV-2 Spike protein. Cross-reactive antibodies specifically recognized the sialic acid moiety on N-linked glycans of the Spike protein and do not neutralize in vitro SARS-CoV-2. Sero-surveillance is critical for monitoring and projecting disease burden and risk during the pandemic; however, routine use of Spike protein-based assays may overestimate SARS-CoV-2 exposure and population-level immunity in malaria-endemic countries.

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 score0.007
Threshold uncertainty score0.022

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.002

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 head0.067
GPT teacher head0.370
Teacher spread0.303 · 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

Citations16
Published2021
Admission routes1
Has abstractyes

Explore more

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