Cargando…
Viral Decay Dynamics and Mathematical Modeling of Treatment Response: Evidence of Lower in vivo Fitness of HIV-1 Subtype C
BACKGROUND: Despite the high prevalence of HIV-1 subtype C (HIV-1C) worldwide, information on HIV-1C viral dynamics and response to antiretroviral therapy (ART) is limited. We sought to measure viral load decay dynamics during treatment and estimate the within-host basic reproductive ratio, R(0), an...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JAIDS Journal of Acquired Immune Deficiency Syndromes
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5172519/ https://www.ncbi.nlm.nih.gov/pubmed/27273158 http://dx.doi.org/10.1097/QAI.0000000000001101 |
_version_ | 1782484141072187392 |
---|---|
author | Shet, Anita Nagaraja, Pradeep Dixit, Narendra M. |
author_facet | Shet, Anita Nagaraja, Pradeep Dixit, Narendra M. |
author_sort | Shet, Anita |
collection | PubMed |
description | BACKGROUND: Despite the high prevalence of HIV-1 subtype C (HIV-1C) worldwide, information on HIV-1C viral dynamics and response to antiretroviral therapy (ART) is limited. We sought to measure viral load decay dynamics during treatment and estimate the within-host basic reproductive ratio, R(0), and the critical efficacy, ε(c), for successful treatment of HIV-1C infection. METHODS: Individuals initiated on first-line ART in India and monitored for 6 months of treatment were considered. Viral load, CD4(+) count, and adherence data were collected at baseline, 4, 12, 16 and 24 weeks after ART initiation. Drug resistance genotyping was performed at baseline. R(0) and ε(c) were estimated using a mathematical model. RESULTS: Among 257 patients with complete data, mean baseline viral load was 5.7 log(10) copies per milliliter and median CD4(+) count was 165 cells per cubic millimeter. Primary drug resistance was present in 3.1% at baseline. At 6 months, 87.5% had undetectable viral load, indicating excellent response to ART despite high baseline viremia. After excluding those with transmitted resistance, suboptimal adherence and viral rebound, data from 112 patients were analyzed using a mathematical model. We estimated the median R(0) to be 5.3. The corresponding ε(c) was ∼0.8. CONCLUSIONS: These estimates of R(0) and ε(c) are smaller than current estimates for HIV-1B, suggesting that HIV-1C exhibits lower in vivo fitness compared with HIV-1B, which allows successful treatment despite high baseline viral loads. The lower fitness, and potentially lower virulence, together with high viral loads may underlie the heightened transmission potential of HIV-1C and its growing global spread. |
format | Online Article Text |
id | pubmed-5172519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | JAIDS Journal of Acquired Immune Deficiency Syndromes |
record_format | MEDLINE/PubMed |
spelling | pubmed-51725192017-01-04 Viral Decay Dynamics and Mathematical Modeling of Treatment Response: Evidence of Lower in vivo Fitness of HIV-1 Subtype C Shet, Anita Nagaraja, Pradeep Dixit, Narendra M. J Acquir Immune Defic Syndr Basic and Translational Science BACKGROUND: Despite the high prevalence of HIV-1 subtype C (HIV-1C) worldwide, information on HIV-1C viral dynamics and response to antiretroviral therapy (ART) is limited. We sought to measure viral load decay dynamics during treatment and estimate the within-host basic reproductive ratio, R(0), and the critical efficacy, ε(c), for successful treatment of HIV-1C infection. METHODS: Individuals initiated on first-line ART in India and monitored for 6 months of treatment were considered. Viral load, CD4(+) count, and adherence data were collected at baseline, 4, 12, 16 and 24 weeks after ART initiation. Drug resistance genotyping was performed at baseline. R(0) and ε(c) were estimated using a mathematical model. RESULTS: Among 257 patients with complete data, mean baseline viral load was 5.7 log(10) copies per milliliter and median CD4(+) count was 165 cells per cubic millimeter. Primary drug resistance was present in 3.1% at baseline. At 6 months, 87.5% had undetectable viral load, indicating excellent response to ART despite high baseline viremia. After excluding those with transmitted resistance, suboptimal adherence and viral rebound, data from 112 patients were analyzed using a mathematical model. We estimated the median R(0) to be 5.3. The corresponding ε(c) was ∼0.8. CONCLUSIONS: These estimates of R(0) and ε(c) are smaller than current estimates for HIV-1B, suggesting that HIV-1C exhibits lower in vivo fitness compared with HIV-1B, which allows successful treatment despite high baseline viral loads. The lower fitness, and potentially lower virulence, together with high viral loads may underlie the heightened transmission potential of HIV-1C and its growing global spread. JAIDS Journal of Acquired Immune Deficiency Syndromes 2016-11-01 2016-10-13 /pmc/articles/PMC5172519/ /pubmed/27273158 http://dx.doi.org/10.1097/QAI.0000000000001101 Text en Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits downloading and sharing the work provided it is properly cited. The work cannot be changed in any way or used commercially. |
spellingShingle | Basic and Translational Science Shet, Anita Nagaraja, Pradeep Dixit, Narendra M. Viral Decay Dynamics and Mathematical Modeling of Treatment Response: Evidence of Lower in vivo Fitness of HIV-1 Subtype C |
title | Viral Decay Dynamics and Mathematical Modeling of Treatment Response: Evidence of Lower in vivo Fitness of HIV-1 Subtype C |
title_full | Viral Decay Dynamics and Mathematical Modeling of Treatment Response: Evidence of Lower in vivo Fitness of HIV-1 Subtype C |
title_fullStr | Viral Decay Dynamics and Mathematical Modeling of Treatment Response: Evidence of Lower in vivo Fitness of HIV-1 Subtype C |
title_full_unstemmed | Viral Decay Dynamics and Mathematical Modeling of Treatment Response: Evidence of Lower in vivo Fitness of HIV-1 Subtype C |
title_short | Viral Decay Dynamics and Mathematical Modeling of Treatment Response: Evidence of Lower in vivo Fitness of HIV-1 Subtype C |
title_sort | viral decay dynamics and mathematical modeling of treatment response: evidence of lower in vivo fitness of hiv-1 subtype c |
topic | Basic and Translational Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5172519/ https://www.ncbi.nlm.nih.gov/pubmed/27273158 http://dx.doi.org/10.1097/QAI.0000000000001101 |
work_keys_str_mv | AT shetanita viraldecaydynamicsandmathematicalmodelingoftreatmentresponseevidenceoflowerinvivofitnessofhiv1subtypec AT nagarajapradeep viraldecaydynamicsandmathematicalmodelingoftreatmentresponseevidenceoflowerinvivofitnessofhiv1subtypec AT dixitnarendram viraldecaydynamicsandmathematicalmodelingoftreatmentresponseevidenceoflowerinvivofitnessofhiv1subtypec |