Literature DB >> 24412334

Revising ecological assumptions about Human papillomavirus interactions and type replacement.

Carmen Lía Murall1, Kevin S McCann2, Chris T Bauch3.   

Abstract

The controversy over whether vaccine-targeted HPV types will be replaced by other oncogenic, non-vaccine-targeted types remains unresolved. This is in part because little is known about the ecology of HPV types. Patient data has been interpreted to suggest independence or facilitative interactions between types and therefore replacement is believed to be unlikely. With a novel mathematical model, we investigated which HPV type interactions and their immune responses gave qualitatively similar patterns frequently observed in patients. To assess the possibility of type replacement, vaccination was added to see if non-vaccine-targeted types increased their 'niche'. Our model predicts that independence and facilitation are not necessary for the coexistence of types inside hosts, especially given the patchy nature of HPV infection. In fact, independence and facilitation inadequately represented co-infected patients. We found that some form of competition is likely in natural co-infections. Hence, non-vaccine-targeted types that are not cross-reactive with the vaccine could spread to more patches and can increase their viral load in vaccinated hosts. The degree to which this happens will depend on replication and patch colonization rates. Our results suggest that independence between types could be a fallacy, and so without conclusively untangling HPV within-host ecology, type replacement remains theoretically viable. More ecological thinking is needed in future studies.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  HPV; Metapopulation dynamics; Strain interactions; Strain replacement; Within-host ecology

Mesh:

Substances:

Year:  2014        PMID: 24412334     DOI: 10.1016/j.jtbi.2013.12.028

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  13 in total

1.  Recurring infection with ecologically distinct HPV types can explain high prevalence and diversity.

Authors:  Sylvia L Ranjeva; Edward B Baskerville; Vanja Dukic; Luisa L Villa; Eduardo Lazcano-Ponce; Anna R Giuliano; Greg Dwyer; Sarah Cobey
Journal:  Proc Natl Acad Sci U S A       Date:  2017-12-05       Impact factor: 11.205

2.  A Mathematical Model of Cell Cycle Dysregulation Due to Human Papillomavirus Infection.

Authors:  Anna K Miller; Karl Munger; Frederick R Adler
Journal:  Bull Math Biol       Date:  2017-06-12       Impact factor: 1.758

3.  National- and state-level impact and cost-effectiveness of nonavalent HPV vaccination in the United States.

Authors:  David P Durham; Martial L Ndeffo-Mbah; Laura A Skrip; Forrest K Jones; Chris T Bauch; Alison P Galvani
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-18       Impact factor: 11.205

4.  Multiple high-risk HPV genotypes are grouped by type and are associated with viral load and risk factors.

Authors:  L Del Río-Ospina; S C Soto-DE León; M Camargo; R Sánchez; D A Moreno-Pérez; A Pérez-Prados; M E Patarroyo; M A Patarroyo
Journal:  Epidemiol Infect       Date:  2017-02-10       Impact factor: 4.434

Review 5.  Papillomaviruses: Viral evolution, cancer and evolutionary medicine.

Authors:  Ignacio G Bravo; Marta Félez-Sánchez
Journal:  Evol Med Public Health       Date:  2015-01-28

6.  Modeling the Mechanisms by Which HIV-Associated Immunosuppression Influences HPV Persistence at the Oral Mucosa.

Authors:  Meghna Verma; Samantha Erwin; Vida Abedi; Raquel Hontecillas; Stefan Hoops; Andrew Leber; Josep Bassaganya-Riera; Stanca M Ciupe
Journal:  PLoS One       Date:  2017-01-06       Impact factor: 3.240

7.  The ratio of single to co-colonization is key to complexity in interacting systems with multiple strains.

Authors:  Erida Gjini; Sten Madec
Journal:  Ecol Evol       Date:  2021-06-06       Impact factor: 2.912

8.  HPV clearance and the neglected role of stochasticity.

Authors:  Marc D Ryser; Evan R Myers; Rick Durrett
Journal:  PLoS Comput Biol       Date:  2015-03-13       Impact factor: 4.475

9.  Dynamics of high-risk nonvaccine human papillomavirus types after actual vaccination scheme.

Authors:  Raúl Peralta; Cruz Vargas-De-León; Augusto Cabrera; Pedro Miramontes
Journal:  Comput Math Methods Med       Date:  2014-04-03       Impact factor: 2.238

Review 10.  Mechanistic mathematical models: An underused platform for HPV research.

Authors:  Marc D Ryser; Patti E Gravitt; Evan R Myers
Journal:  Papillomavirus Res       Date:  2017-02-04
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