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Record W4320526765 · doi:10.1016/j.xpro.2023.102083

Protocol to evaluate the inflammatory response in human macrophages induced by SARS-CoV-2 spike-pseudotyped VLPs

2023· article· en· W4320526765 on OpenAlexafffund
Maggie Jing Ouyang, Zhujun Ao, Titus Abiola Olukitibi, Xiaojian Yao

Bibliographic record

VenueSTAR Protocols · 2023
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Clinical Research Studies
Canadian institutionsUniversity of Manitoba
FundersCanadian Institutes of Health ResearchMitacsResearch Manitoba
KeywordsVirologySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Inflammatory responseBiologyProtocol (science)PathogenesisVirusVirulenceInflammationImmunologyCoronavirus disease 2019 (COVID-19)MedicineGeneGeneticsPathology

Abstract

fetched live from OpenAlex

The excessive release of pro-inflammatory cytokines in COVID-19 patients is deleterious to organs. The contribution of SARS-CoV-2 spike protein (S) to the inflammatory response is essential to understand its pathogenesis and virulence. Here, we present a protocol to produce and characterize HIV- and SARS-CoV-2-based virus-like particles and then evaluate the inflammatory cytokines’ protein and mRNA levels produced in human macrophages by S of SARS-CoV-2 original strain and Delta variant. This protocol is applicable in evaluating S from different emerging variants. For complete details on the use and execution of this protocol, please refer to Ao et al. (2022).1

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0320.014

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 head0.161
GPT teacher head0.540
Teacher spread0.379 · 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 designNot applicable
Domainnot available
GenreProtocol

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

Citations4
Published2023
Admission routes2
Has abstractyes

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