Aptamer Binding Assay for the E Antigen of Hepatitis B Using Modified Aptamers with G-Quadruplex Structures
Bibliographic record
Abstract
Abstract The e antigen of hepatitis B (HBeAg) is positively associated with an increased risk of developing liver cancer and cirrhosis in chronic hepatitis B (CHB) patients. Clinical monitoring of HBeAg provides guidance to the treatment of CHB and the assessment of disease progression. We describe here an affinity binding assay for HBeAg, which takes advantage of G-quadruplex aptamers for enhanced binding and stability. We demonstrate a strategy to improve the binding affinity of aptamers by modifying their sequences upon their G-quadruplex and secondary structures. On the basis of predicting a stable G-quadruplex and a secondary structure, we truncated 19 nucleotides (nt) from the primer regions of an 80-nt aptamer, and the resulting 61-nt aptamer enhanced binding affinity by 19 times (Kd = 1.2 nM). We mutated a second aptamer (40 nt) in one loop region and incorporated pyrrolo-deoxycytidine to replace deoxycytidine in another loop. The modified 40-nt aptamer, with a stable G-quadruplex and two modified loops, exhibited a 100 times higher binding affinity for HBeAg (Kd = 0.4 nM) than the unmodified original aptamer. Using the two newly modified aptamers, one serving as the capture and the other as the reporter, we have developed an improved sandwich binding assay for HBeAg. Analyses of HBeAg in serum samples (concentration ranging from 0.1 to 60 ng/mL) of 10 hepatitis B patients, showing consistent results with clinical tests, demonstrate a successful application of the aptamer modification strategy and the associated aptamer binding assay.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".