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Title: Understanding patterns of HIV multi-drug resistance through models of temporal and spatial drug heterogeneity
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.  more » « less
Award ID(s):
1655212
NSF-PAR ID:
10338395
Author(s) / Creator(s):
; ; ;
Date Published:
Journal Name:
eLife
Volume:
10
ISSN:
2050-084X
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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