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Record W4401956666 · doi:10.1186/s12985-024-02448-1

Development of a competitive ELISA based on the LSDV A33 antigen

2024· article· en· W4401956666 on OpenAlexaff
Guohua Chen, Xiaobing He, Zhenzhen Gao, Yongxiang Fang, Takele Tesgera Hurisa, Huaijie Jia, Jinlong Tan, Zhou Guangqin, Bao‐Quan Fu, Weike Li, Zhizhong Jing

Bibliographic record

VenueVirology Journal · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPoxvirus research and outbreaks
Canadian institutionsMinistry of Agriculture
FundersAgricultural Science and Technology Innovation ProgramState Key Laboratory of Veterinary Etiological BiologyChinese Academy of Agricultural Sciences
KeywordsSerologyVirologyAntibodyBiologyAntigenPolyclonal antibodiesDiagnostic testImmunologyMedicineVeterinary medicine

Abstract

fetched live from OpenAlex

Goatpoxvirus (GTPV), sheeppoxvius (SPPV), and the Lumpy skin disease virus (LSDV) is a Capripoxvirus belonging to the family poxviridae. They can cause significant economic losses in countries where this disease are endemic. However, effective and convenient diagnostic tools against sera antibody are not readily available until now. Toward this goal, a polyclonal antibody competitive enzyme-linked immunosorbent assay (c-ELISA) of detecting serogroup-specific antibody is established based on major LSDV antigen A33. Serum samples (n = 605) were collected to optimize the c-ELISA from different areas. The cut-off value for the c-ELISA was estimate using percent inhibition (PI) values. The diagnostic performance of test including sensitivity (sn) and specificity (sp) were obtained by receiver operator characteristic (ROC) analysis. Among these analysis, > 57.61% PI value was accepted as cut-off of the c-ELISA, the diagnostic sn an diagnostic sp were reached to 96.4% and 98.5%, at > 95% confidence interval. These results show that the developed competitive ELISA is sensitive, specific, and reliable, which make it appropriate for serological investigation.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.746
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0030.001

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 head0.022
GPT teacher head0.275
Teacher spread0.253 · 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; both teacher heads agree on what is shown here.

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

Citations13
Published2024
Admission routes1
Has abstractyes

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