Evidence map›Paper›PMID 20167236›Full record

ArticleAntiviral research2010

Recurrent vaginal shedding of herpes simplex type 2 virus in the mouse and effects of antiviral therapy.

Nicholas Farley, David I Bernstein, Fernando J Bravo, Julie Earwood, Nancy Sawtell, Rhonda D Cardin

Open access · greenAbstract read
In one paragraph

Article in Antiviral research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 2 institutions in 1 country.

Nicholas FarleyCincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.
David I Bernstein
Fernando J Bravo
Julie Earwood
Nancy Sawtell
Rhonda D Cardin
University of Cincinnati · USCincinnati Children's Hospital Medical Center · US

Funding

NIAID NIH HHS 1-AI-15438NIAID NIH HHS N01 AI015438
6 · The paper itself

Abstract

A mouse model of recurrent herpes simplex type 2 (HSV-2) would improve our understanding of the immunobiology of recurrent disease and provide a useful model for evaluating antiviral treatments. We developed a model to evaluate recurrent vaginal HSV-2 shedding using high-dose acyclovir (ACV) therapy beginning at 3 days post infection (dpi). Treatment with 150mg/kg of ACV for 10 days increased survival to 80% following vaginal challenge with HSV-2 strain 186 and to 100% after challenge with strain MS. We then evaluated recurrent vaginal HSV-2 shedding in surviving mice. Although infectious virus was not detected in vaginal samples after 21dpi, viral DNA was detectable by PCR in 80% of mice (47/59) on at least 1 day, while no animal was positive for virus on every day. ACV therapy administered from day 21 to 31 significantly reduced recurrent virus shedding during this period from 7.3% (8/109 swabs) to 0.8% (1/126 swabs) (p=0.013). Lastly, ACV-rescued HSV-2-infected mice treated with cyclophosphamide at 35 and 38dpi rapidly succumbed, indicating that this model can be used to study immune control of the persistent infection. Thus, this model provides an inexpensive model for evaluating therapeutic strategies and immune control of persistent HSV.

Indexed as

Disease Models, AnimalVirus SheddingAcyclovirAnimalsAntiviral AgentsDNA, ViralFemaleHerpes GenitalisHerpesvirus 2, HumanHumansMaleMicePolymerase Chain ReactionRecurrenceSurvival AnalysisVaginaAcyclovirAntiviral AgentsDNA, Viral

Identifiers

PMID20167236
PMCPMC2878486
OpenAlexW2035401766

What OpenQuestion holds

Textmetadata
LicenceTDM
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.