Molecular dating and viral load growth rates suggested that the eclipse phase lasted about a week in HIV-1 infected adults in East Africa and Thailand

Autor: Raabya Rossenkhan, Lydia Bonar, Jan P.L. Labuschagne, Meera Bose, Kultida Poltavee, Elizabeth A. Harbolick, Daniel B. Reeves, Morgane Rolland, Jerome H. Kim, Bethany L. Dearlove, Leigh Anne Eller, Merlin L. Robb, Gustavo H. Kijak, Hannah Kibuuka, Paul T. Edlefsen, Eric Lewitus, Phuc Pham, Bahar Ahani, Annemarie O'Sullivan, Shana Miller, Eric Sanders-Buell, Sorachai Nitayaphan, Fred Sawe, Jenica Lee, Christopher L. Owen, Yifan Li, Robert Gramzinski, Lucas Maganga, Nelson L. Michael, Sodsai Tovanabutra
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Male
RNA viruses
Time Factors
Human immunodeficiency virus (HIV)
HIV Infections
medicine.disease_cause
Pathology and Laboratory Medicine
Database and Informatics Methods
Immunodeficiency Viruses
Medicine and Health Sciences
Medicine
Prospective Studies
Biology (General)
Data Management
0303 health sciences
Vaccines
Molecular dating
030302 biochemistry & molecular biology
Phylogenetic Analysis
Africa
Eastern

Viral Load
Thailand
Phylogenetics
Infectious Diseases
Method comparison
Molecular Diagnostic Techniques
Medical Microbiology
Viral Pathogens
Cohort
Viruses
Physical Sciences
Female
Pathogens
Viral load
Sequence Analysis
Research Article
Adult
medicine.medical_specialty
Computer and Information Sciences
Infectious Disease Control
Bioinformatics
QH301-705.5
Immunology
Viremia
Genome
Viral

Research and Analysis Methods
Microbiology
Drug levels
03 medical and health sciences
Internal medicine
Virology
Retroviruses
Genetics
East africa
Humans
Evolutionary Systematics
Molecular Biology
Microbial Pathogens
030304 developmental biology
Taxonomy
Evolutionary Biology
business.industry
Lentivirus
Organisms
Biology and Life Sciences
HIV
Eigenvalues
RC581-607
medicine.disease
Algebra
Linear Algebra
HIV-1
Parasitology
Immunologic diseases. Allergy
business
Sequence Alignment
Viral Transmission and Infection
Mathematics
Zdroj: PLoS Pathogens, Vol 16, Iss 2, p e1008179 (2020)
PLoS Pathogens
ISSN: 1553-7374
1553-7366
Popis: Most HIV-1 infected individuals do not know their infection dates. Precise infection timing is crucial information for studies that document transmission networks or drug levels at infection. To improve infection timing, we used the prospective RV217 cohort where the window when plasma viremia becomes detectable is narrow: the last negative visit occurred a median of four days before the first detectable HIV-1 viremia with an RNA test, referred below as diagnosis. We sequenced 1,280 HIV-1 genomes from 39 participants at a median of 4, 32 and 170 days post-diagnosis. HIV-1 infections were dated by using sequence-based methods and a viral load regression method. Bayesian coalescent and viral load regression estimated that infections occurred a median of 6 days prior to diagnosis (IQR: 9–3 and 11–4 days prior, respectively). Poisson-Fitter, which analyzes the distribution of hamming distances among sequences, estimated a median of 7 days prior to diagnosis (IQR: 15–4 days) based on sequences sampled 4 days post-diagnosis, but it did not yield plausible results using sequences sampled at 32 days. Fourteen participants reported a high-risk exposure event at a median of 8 days prior to diagnosis (IQR: 12 to 6 days prior). These different methods concurred that HIV-1 infection occurred about a week before detectable viremia, corresponding to 20 days (IQR: 34–15 days) before peak viral load. Together, our methods comparison helps define a framework for future dating studies in early HIV-1 infection.
Author summary HIV-1 infected individuals rarely know when they became infected but knowing when an infection occurred provides critical information regarding HIV-1 pathogenesis and epidemiology. Using a unique cohort in which infection was known to have occurred in a narrow interval, we investigated methods to estimate the timing of infections. Several methods suggested that HIV-1 infection typically occurs a median of one week before the infection can be detected by HIV-1 RNA testing. Going forward, we provide a strategy that can be used to elucidate the origin of an acute/early infection.
Databáze: OpenAIRE
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