Relational concurrency, stages of infection, and the evolution of HIV set point viral load Article Swipe
Steven M. Goodreau
,
Sarah E. Stansfield
,
James T. Murphy
,
Kathryn Peebles
,
Geoffrey S. Gottlieb
,
Neil F. Abernethy
,
Joshua T. Herbeck
,
John E. Mittler
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1093/ve/vey032
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1093/ve/vey032
HIV viral load (VL) predicts both transmission potential and rate of disease progression. For reasons that are still not fully understood, the set point viral load (SPVL) established after acute infection varies across individuals and populations. Previous studies have suggested that population mean SPVL (MSPVL) has evolved near an optimum that reflects a trade-off between transmissibility and host survival. Sexual network structures affect rates of potential exposure during different within-host phases of infection marked by different transmission probabilities, and thus affect the number and timing of transmission events. These structures include relational concurrency, which has been argued to explain key differences in HIV burden across populations. We hypothesize that concurrency will alter the fitness landscape for SPVL in ways that differ from other network features whose impacts accrue at other times during infection. To quantitatively test this hypothesis, we developed a dynamic, stochastic, data-driven network model of HIV transmission, and evolution to assess the impact of key sexual network phenomena on MSPVL evolution. Experiments were repeated in sensitivity runs that made different assumptions about transmissibility during acute infection, SPVL heritability, and the functional form of the relationship between VL and transmissibility. For our main transmission model, scenarios yielded MSPVLs ranging from 4.4 to 4.75 log10 copies/ml, covering much of the observed empirical range. MSPVL evolved to be higher in populations with high concurrency and shorter relational durations, with values varying over a clinically significant range. In linear regression analyses on these and other predictors, main effects were significant (P < 0.05), as were interaction terms, indicating that effects are interdependent. We also noted a strong correlation between two key emergent properties measured at the end of the simulations-MSPVL and HIV prevalence-most clearly for phenomena that affect transmission networks early in infection. Controlling for prevalence, high concurrency yielded higher MSPVL than other network phenomena. Interestingly, we observed lower prevalence in runs in which SPVL heritability was zero, indicating the potential for viral evolution to exacerbate disease burden over time. Future efforts to understand empirical variation in MSPVL should consider local HIV burden and basic sexual behavioral and network structure.
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Metadata
- Type
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- Language
- en
- Landing Page
- https://doi.org/10.1093/ve/vey032
- https://academic.oup.com/ve/article-pdf/4/2/vey032/26680201/vey032.pdf
- OA Status
- gold
- Cited By
- 8
- References
- 93
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2900497786
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2900497786Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/ve/vey032Digital Object Identifier
- Title
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Relational concurrency, stages of infection, and the evolution of HIV set point viral loadWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-07-01Full publication date if available
- Authors
-
Steven M. Goodreau, Sarah E. Stansfield, James T. Murphy, Kathryn Peebles, Geoffrey S. Gottlieb, Neil F. Abernethy, Joshua T. Herbeck, John E. MittlerList of authors in order
- Landing page
-
https://doi.org/10.1093/ve/vey032Publisher landing page
- PDF URL
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https://academic.oup.com/ve/article-pdf/4/2/vey032/26680201/vey032.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://academic.oup.com/ve/article-pdf/4/2/vey032/26680201/vey032.pdfDirect OA link when available
- Concepts
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Concurrency, Human immunodeficiency virus (HIV), Set (abstract data type), Viral load, Set point, Computer science, Virology, Biology, Distributed computing, Programming language, Engineering, Control engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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8Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 1, 2022: 1, 2021: 3, 2020: 1, 2019: 2Per-year citation counts (last 5 years)
- References (count)
-
93Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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