A Clinically Validated, Broadly Active, Oral Viral SuperinfectionTherapy Could Mitigate Symptoms in Early-stage COVID-19 Patients
Bibliographic record
Abstract
Abstract: More than 200 viruses infect humans, but treatments are available for less than ten of them. To narrow the gap between ‘bugs and drugs,’ a paradigm shift is required. The “one drug, one bug” approach can be expanded to a “one drug, multiple bugs” strategy such that the host’s defense system is targeted rather than the virus. Viral superinfection therapy (SIT) activates interferon genes’ natural, antiviral defense system of host cells following exposure to viral infection, e.g., superinfection with an attenuated infectious bursal disease virus (IBDV) with the release of its double-stranded RNA (dsRNA) cargo inside host cells. An attenuated IBDV therapeutic vaccine has successfully treated hepatitis A virus infection (HAV) in marmoset monkeys as well as acute hepatitis B and hepatitis C virus infections (HBV/HCV) in 42 patients. SIT has also been shown to be safe and effective in four patients with chronic HBV or HCV infection with hepatic decompensation. The proof-of-principle of SIT has also been demonstrated in a 43-year-old male patient with COVID-19. Three doses of orally administered IBDV (3x106 IU) alleviated most of his COVID-19 symptoms; even his sense of smell returned within a week. Two additional COVID-19 patients responded similarly to oral treatment with IBDV. Furthermore, a severe herpes zoster ophthalmicus outbreak with orbital edema responded to a combination of acyclovir and 7 doses of IBDV (7x106 IU) within a few days. IBDV is simple to manufacture and affordable, even in resource-limited settings. Acid-resistant IBDV can be orally administered in an outpatient setting, providing simple dosing and high medication adherence. Under an Emergency Use Authorization, the broad-spectrum IBDV drug candidate could be tested immediately in clinical trials and rapidly distributed to millions of early-stage patients with COVID-19. The German Paul Ehrlich Institute is currently supporting a phase I safety study for persons acutely infected with SARS‑CoV-2. An expert team of the US National Institutes of Health-sponsored ACTIV public-private partnership came to the conclusion that the IBDV drug candidate shows merit as a potential treatment for COVID- 19, and an FDA-approved clinical trial is in the pipelines in Los Angeles.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.003 | 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".