Understanding patterns of HIV multi-drug resistance through models of temporal and spatial drug heterogeneity

Author:

Feder Alison F12ORCID,Harper Kristin N3,Brumme Chanson J45,Pennings Pleuni S6ORCID

Affiliation:

1. Department of Integrative Biology, University of California, Berkeley, Berkeley, United States

2. Department of Genome Sciences, University of Washington, Seattle, United States

3. Harper Health and Science Communications, LLC, Seattle, United States

4. British Columbia Centre for Excellence in HIV/AIDS, Vancouver, Canada

5. Department of Medicine, University of British Columbia, Vancouver, Canada

6. Department of Biology, San Francisco State University, San Francisco, United States

Abstract

Triple-drug therapies have transformed HIV from a fatal condition to a chronic one. These therapies should prevent HIV drug resistance evolution, because one or more drugs suppress any partially resistant viruses. In practice, such therapies drastically reduced, but did not eliminate, resistance evolution. In this article, we reanalyze published data from an evolutionary perspective and demonstrate several intriguing patterns about HIV resistance evolution - resistance evolves (1) even after years on successful therapy, (2) sequentially, often via one mutation at a time and (3) in a partially predictable order. We describe how these observations might emerge under two models of HIV drugs varying in space or time. Despite decades of work in this area, much opportunity remains to create models with realistic parameters for three drugs, and to match model outcomes to resistance rates and genetic patterns from individuals on triple-drug therapy. Further, lessons from HIV may inform other systems.

Funder

National Science Foundation

National Institutes of Health

Miller Institute for Basic Research in Science

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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