Evidence map›Paper›PMID 32542017›Full record

ArticlePLoS neglected tropical diseases2020

Development of a small animal model for deer tick virus pathogenesis mimicking human clinical outcome.

Meghan E Hermance, Charles E Hart, Allen T Esterly, Erin S Reynolds, Jahnavi R Bhaskar, Saravanan Thangamani

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
0.3field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Human Skin Ex Vivo Culture for Tick-Borne Virus Infection Studies.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  9. Flaviviruses-Induced Neurological Sequelae.Pathogens (Basel, Switzerland) · 2024
    Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. A Human Skin Model for Assessing Arboviral Infections.JID innovations : skin science from molecules to population health · 2022
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Meghan E HermanceSUNY Center for Environmental Health and Medicine, SUNY Upstate Medical University, Syracuse, New York, United States of America.
Charles E HartSUNY Center for Environmental Health and Medicine, SUNY Upstate Medical University, Syracuse, New York, United States of America.
Allen T EsterlySUNY Center for Environmental Health and Medicine, SUNY Upstate Medical University, Syracuse, New York, United States of America.
Erin S ReynoldsSUNY Center for Environmental Health and Medicine, SUNY Upstate Medical University, Syracuse, New York, United States of America.
Jahnavi R BhaskarSUNY Center for Environmental Health and Medicine, SUNY Upstate Medical University, Syracuse, New York, United States of America.
Saravanan ThangamaniSUNY Center for Environmental Health and Medicine, SUNY Upstate Medical University, Syracuse, New York, United States of America.ORCID 0000-0002-4269-5993
SUNY Upstate Medical University · US

Funding

TICK DETERMINANTS OF POWASSAN VIRUS TRANSMISSIONR01AI127771 · NIAID · UPSTATE MEDICAL UNIVERSITY · PI THANGAMANI, SARAVANAN · 2017 to 2021
$2.0M
NIAID NIH HHS R01 AI127771
6 · The paper itself

Abstract

Powassan virus (POWV) is a tick-borne flavivirus that encompasses two genetic lineages, POWV (Lineage I) and deer tick virus (DTV, Lineage II). In recent years, the incidence of reported POWV disease cases has increased, coupled with an expanded geographic range of the DTV tick vector, Ixodes scapularis. POWV and DTV are serologically indistinguishable, and it is not known whether clinical manifestations, pathology, or disease outcome differ between the two viruses. Six-week-old male and female BALB/c mice were footpad-inoculated with DTV doses ranging from 101 to 105 FFU. Dose-independent mortality, morbidity, and organ viral loads were observed for mice inoculated with sequentially increasing doses of DTV. By study completion, all surviving mice had cleared their viremias but detectable levels of negative-sense DTV RNA were present in the brain, indicating viral persistence of infectious DTV in the central nervous system. For mice that succumbed to disease, neuropathology revealed meningoencephalitis characterized by microscopic lesions with widespread distribution of viral RNA in the brain. These findings, coupled with the rapid onset of neurological signs of disease and high viral titers in nervous tissue, highlight the neurotropism of DTV in this mouse model. Additionally, disease outcome for DTV-infected mice was not affected by sex, as males and females were equally susceptible to disease. This is the first study to comprehensively characterize the clinical disease outcome in a small animal model across a spectrum of POWV/DTV infection doses. Here, we developed a small animal model for DTV pathogenesis that mimics the manifestations of POWV disease in humans. Since it is currently not known whether DTV and POWV differ in their capacity to cause human disease, the animal model detailed in our study could be utilized in future comparative pathogenesis studies, or as a platform for testing the efficacy of vaccines, and anti-virals.

Indexed as

Disease Models, AnimalAnimalsBrainChlorocebus aethiopsEncephalitis, Tick-BorneEncephalitis Viruses, Tick-BorneFemaleHumansIxodesMaleMiceMice, Inbred BALB CMice, Inbred C57BLMorbidityRNA, ViralVero CellsRNA, Viral

Identifiers

PMID32542017
PMCPMC7316340
OpenAlexW3035273812

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.