Oropouche virus efficiently replicates and is immunostimulatory in vivo in nonhuman primate species
Bibliographic record
Abstract
An Oropouche virus (OROV) outbreak occurred in South America in 2024. The pathogenic potential and host immunological response of this emerging virus are largely unknown, as animal models have been poorly explored. We infected nonhuman primate (NHP) species with OROV and followed viral replication dynamics and subsequent innate and adaptive immunological responses. OROV efficiently replicated in pigtail macaques, rhesus macaques, and vervet African green monkeys. OROV also replicated in sabeus African green monkey, albeit at lower levels than other hosts. OROV RNA was detected in plasma and nasal swabs and infection-induced high levels of innate inflammation, type I interferon gene signatures, immunoglobulin M-positive B cell expansion, high titers of neutralizing antibodies, and detectable frequencies of OROV-specific T cells. Prior infection was protective against reinfection up to 524 days post-initial infection, demonstrating possible protective immunity induction against OROV infection. These data suggest that multiple NHP species are appropriate models for OROV infection and the development of therapeutics and vaccinations.
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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 | 0.000 | 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 | 0.000 |
| 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 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".