Establishment of sandwich ELISA for detecting the H7 subtype influenza A virus
Bibliographic record
Abstract
Avian H7N9 subtype influenza virus infects human with high case-fatality rate since it emerged in 2013. Although the vaccination has been rapidly used in poultry due to the emergence of highly pathogenic strain, this virus remains prevalent in this region. Thus, rapid diagnosis both in poultry and human clinic is critically important for the control and prevention of H7N9 infection. In this study, a batch of H7 subtype-specific monoclonal antibodies (mAbs) were developed and a pair of mAb, 2B6, and 5E9 were used to establish a double-antibody sandwich enzyme-linked immunosorbent assay (ELISA) to quantify H7 protein and detect influenza A virus baring H7 subtype HA. The lowest detection limit for the recombinant H7 protein was 10 ng/mL and 0.5 HAU/50 μL of A/Guangdong/17SF003/2016(H7N9), 2 HAU/50 μL of A/Netherlands/219/2003(H7N7) and A/Anhui/1/2013(H7N9) for live virus, respectively. The ELISA could not only detect the prevailing H7N9 virus, but also antigenic drift H7 subtype viruses, showing excellent sensitivity and high specificity. Hence, it could serve as a valuable approach to diagnose H7 subtype virus which showed great potential to cause pandemic, as well as antigen quantification.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".