Evidence map›Paper›PMID 34153032›Full record

ArticlePLoS computational biology2021

Examining the dynamics of Epstein-Barr virus shedding in the tonsils and the impact of HIV-1 coinfection on daily saliva viral loads.

Catherine M Byrne, Christine Johnston, Jackson Orem, Fred Okuku, Meei-Li Huang, Habibur Rahman, Anna Wald, Lawrence Corey, Joshua T Schiffer, Corey Casper and 2 more

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.6field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  14. [Developments in Research on Salivary Biomarkers in the Diagnosis of Systemic Diseases].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023
    Review
  15. Review
  16. HIV co-infection augments EBV-induced tumorigenesisFrontiers in virology (Lausanne, Switzerland) · 2022
    Article
  17. Article
  18. 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

12 authors at 6 institutions in 3 countries.

Catherine M ByrneDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0001-9183-3814
Christine JohnstonDepartment of Medicine, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-3073-0843
Jackson OremVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.ORCID 0000-0002-5366-9010
Fred OkukuUganda Cancer Institute, Kampala, Uganda.
Meei-Li HuangVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Habibur RahmanFaculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Anna WaldDepartment of Medicine, University of Washington, Seattle, Washington, United States of America.
Lawrence CoreyDepartment of Medicine, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-2179-2436
Joshua T SchifferDepartment of Medicine, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-2598-1621
Corey CasperDepartment of Medicine, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-3609-661X
Daniel CoombsInstitute of Applied Mathematics, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0002-8038-6278
Soren GanttDépartement de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, Québec, Canada.ORCID 0000-0001-5743-3606
University of Washington · USUniversity of British Columbia · CAFred Hutch Cancer Center · USInfectious Disease Research Institute · USUganda Cancer Institute · UGUniversité de Montréal · CA

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI EDWIN ROBERTO ORELLANA · 1988 to 2026
$104.9M
THE PERINATAL COMPLICATIONS OF ASYMPTOMATIC GENITAL HERPES SIMPLEX VIRUSP01AI030731 · NIAID · UNIVERSITY OF WASHINGTON · PI JOHNSTON, CHRISTINE MICHELLE · 1991 to 2017
$34.3M
Expanding independent research capacity in HIV-associated malignancies in UgandaD43TW009759 · FIC · FRED HUTCHINSON CANCER RESEARCH CENTER · PI OREM, JACKSON, PHIPPS, WARREN · 2014 to 2023
$3.0M
Clinical Research in HSV InfectionsK24AI071113 · NIAID · UNIVERSITY OF WASHINGTON · PI WALD, ANNA · 2006 to 2015
$1.7M
HHV-8 Transmission Among Men Who Have Sex with MenK23AI054162 · NIAID · UNIVERSITY OF WASHINGTON · PI CASPER, COREY · 2003 to 2008
$737k
Dynamic Reactivation of Herpes Simplex Virus-2 and the Genital Mucosal ResponseK23AI079394 · NIAID · UNIVERSITY OF WASHINGTON · PI JOHNSTON, CHRISTINE MICHELLE · 2008 to 2011
$491k
FIC NIH HHS D43 TW009759NCI NIH HHS P30 CA015704NIAID NIH HHS K23 AI054162NIAID NIH HHS K23 AI079394NIAID NIH HHS K24 AI071113NIAID NIH HHS P01 AI030731NIAID NIH HHS P30 AI027757
6 · The paper itself

Abstract

Epstein-Barr virus (EBV) is transmitted by saliva and is a major cause of cancer, particularly in people living with HIV/AIDS. Here, we describe the frequency and quantity of EBV detection in the saliva of Ugandan adults with and without HIV-1 infection and use these data to develop a novel mathematical model of EBV infection in the tonsils. Eligible cohort participants were not taking antiviral medications, and those with HIV-1 infection had a CD4 count >200 cells/mm3. Over a 4-week period, participants provided daily oral swabs that we analysed for the presence and quantity of EBV. Compared with HIV-1 uninfected participants, HIV-1 coinfected participants had an increased risk of EBV detection in their saliva (IRR = 1.27, 95% CI = 1.10-1.47) and higher viral loads in positive samples. We used these data to develop a stochastic, mechanistic mathematical model that describes the dynamics of EBV, infected cells, and immune response within the tonsillar epithelium to analyse potential factors that may cause EBV infection to be more severe in HIV-1 coinfected participants. The model, fit using Approximate Bayesian Computation, showed high fidelity to daily oral shedding data and matched key summary statistics. When evaluating how model parameters differed among participants with and without HIV-1 coinfection, results suggest HIV-1 coinfected individuals have higher rates of B cell reactivation, which can seed new infection in the tonsils and lower rates of an EBV-specific immune response. Subsequently, both these traits may explain higher and more frequent EBV detection in the saliva of HIV-1 coinfected individuals.

Indexed as

HIV-1AdolescentAdultB-LymphocytesCohort StudiesCoinfectionComputational BiologyEpstein-Barr Virus InfectionsFemaleHerpesvirus 4, HumanHIV InfectionsHumansImmunity, CellularMaleMiddle AgedModels, Biological

Identifiers

PMID34153032
PMCPMC8248743
OpenAlexW3173784737

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.