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  • member
  • team
  • department
  • center
  • program_project
  • nrc
  • whocc
  • project
  • software
  • tool
  • patent
  • Administrative Staff
  • Assistant Professor
  • Associate Professor
  • Clinical Research Assistant
  • Full Professor
  • Graduate Student
  • Lab assistant
  • Non-permanent Researcher
  • Permanent Researcher
  • Pharmacist
  • PhD Student
  • Physician
  • Post-doc
  • Project Manager
  • Research Engineer
  • Retired scientist
  • Technician
  • Undergraduate Student
  • Visiting Scientist
  • Deputy Director of Center
  • Deputy Director of Department
  • Deputy Director of National Reference Center
  • Director of Center
  • Director of Department
  • Director of Institute
  • Director of National Reference Center
  • Group Leader
  • Head of Facility
  • Head of Structure
  • Honorary President of the Departement
  • Labex Coordinator
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Scientific Fields
Diseases
Organisms
Applications
Technique
Starting Date
15
May 2016
Ending Date
23
Dec 2016
Status
Ongoing
Members
2
Structures
3

About

Drug resistance mutations (DRM) emerge in HIV-1 viruses through selective pressure during antiviral treatment (ART). Acquired drug resistance rates vary depending on duration of ART and type of prescribed regimen. Drug resistance can then be transmitted and reduces the chances of long-lasting successful ART. The rate at which transmitted drug resistance (TDR) mutations persist is likely to be multifactorial and have been shown to vary considerably for individual mutations (Castro et al. 2013).  In case of the UK population infected by HIV-1 it is known (Mourad et al. 2015) that the majority of DRMs are transmitted by treatment-naive patients.

Having a deeper understanding of virus transmission and drug resistance mechanisms is important as it will lead to improvements of current treatment policies. In this study we develop a mathematical model of DRM transmissions in HIV-1 in the UK, and use it to estimate the transmission rates for different types of patients (treatment-experienced or naive), as well as the rates of transitions between the states (caused by start of treatment, DRM emergence, or DRM loss).