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Record W7112197737

Cache Valley Virus: A Comparison Across Both Lineages and Reassortant Strains Using in vitro and in vivo Models

2025· dissertation· en· W7112197737 on OpenAlexaboutno aff

Bibliographic record

VenueVTechWorks (Virginia Tech) · 2025
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicVector-Borne Animal Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsReassortmentOrthobunyavirusLineage (genetic)CoinfectionDiseasePathogenesisOutbreak
DOInot available

Abstract

fetched live from OpenAlex

Cache Valley virus (CVV) is an emerging mosquito-borne orthobunyavirus of significant concern to One Health. CVV was first isolated from Culiseta inornata mosquitoes in Cache Valley, Utah in 1956 and has sporadically emerged to cause epizootics in livestock, particularly affecting small ruminants. CVV is a known teratogenic virus, and its infection has been associated with spontaneous abortions and several birth defects in ruminants such as sheep, goats, and cattle. Seven human cases have been reported to date, presenting symptoms such as headache, fever, nausea and in severe cases, neurological disease such as encephalitis, meningitis, and organ failure. Four human fatalities have been documented to date. CVV is endemic to North America and has been detected in mosquito, wildlife, and human samples across Canada, United States, and Mexico. CVV strains are phylogenetically classified into two genetic lineages. Recent mosquito surveillance studies indicated that lineage II strains originating from Mexico have displaced lineage I isolates in Connecticut, New York, and Canada, since 2010. Furthermore, as a result of coinfection and segment reassortment between CVV lineages, reassortant isolates have emerged and has increased the genetic diversity of this virus. Importantly, recent case reports in humans have been associated with infection by these reassortant CVV strains. Pathogenesis studies in immune-compromised mice showed significant disease including weight loss, encephalitis, and mortality. To expand on our previous murine model studies and gain a better understanding of the pathogenicity of CVV isolates from both lineages as well as reassortant isolates, we explored pathogenesis with an emphasis on neuropathogenesis in several murine models. Herein, we explored the pathogenesis of three CVV strains from lineage I, lineage II, and reassortant viruses in immune-competent and immune-compromised murine models, as well as different inoculation routes. Our results show significant strain-specific differences in pathogenesis with clear differences in weight loss, viremia, organ loads, and mortality, among our models used. Considering our comparative pathogenesis data as a surrogate for understanding differences in human pathogenesis, our data suggests increased neuropathogenesis among the lineage II and one of the reassortant viruses studied. Our studies identify a unique and highly neurovirulent reassortant strain of CVV that presents significantly more disease than lineage I and II strains in several murine models. Altogether, our results suggest significant strain- and lineage-specific differences in CVV neuropathogenesis and suggests a plausible increased risk of neurological disease may be associated with currently circulating lineage II strains. CVV continues to remain an important agricultural and human pathogen and further research is needed to understand its ecology, the factors that may contribute to its risk of emergence, and intervention strategies to prevent its emergence and/or diminish its disease burden are urgently needed.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.037
GPT teacher head0.297
Teacher spread0.260 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2025
Admission routes1
Has abstractyes

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