» Articles » PMID: 26267615

Combining the Estimated Date of HIV Infection with a Phylogenetic Cluster Study to Better Understand HIV Spread: Application in a Paris Neighbourhood

Overview
Journal PLoS One
Date 2015 Aug 13
PMID 26267615
Citations 3
Authors
Affiliations
Soon will be listed here.
Abstract

Objectives: To relate socio-demographic and virological information to phylogenetic clustering in HIV infected patients in a limited geographical area and to evaluate the role of recently infected individuals in the spread of HIV.

Methods: HIV-1 pol sequences from newly diagnosed and treatment-naive patients receiving follow-up between 2008 and 2011 by physicians belonging to a health network in Paris were used to build a phylogenetic tree using neighbour-joining analysis. Time since infection was estimated by immunoassay to define recently infected patients (very early infected presenters, VEP). Data on socio-demographic, clinical and biological features in clustered and non-clustered patients were compared. Chains of infection structure was also analysed.

Results: 547 patients were included, 49 chains of infection containing 108 (20%) patients were identified by phylogenetic analysis. analysis. Eighty individuals formed pairs and 28 individuals were belonging to larger clusters. The median time between two successive HIV diagnoses in the same chain of infection was 248 days [CI = 176-320]. 34.7% of individuals were considered as VEP, and 27% of them were included in chains of infection. Multivariable analysis showed that belonging to a cluster was more frequent in VEP and those under 30 years old (OR: 3.65, 95 CI 1.49-8.95, p = 0.005 and OR: 2.42, 95% CI 1.05-5.85, p = 0.04 respectively). The prevalence of drug resistance was not associated with belonging to a pair or a cluster. Within chains, VEP were not grouped together more than chance predicted (p = 0.97).

Conclusions: Most newly diagnosed patients did not belong to a chain of infection, confirming the importance of undiagnosed or untreated HIV infected individuals in transmission. Furthermore, clusters involving both recently infected individuals and longstanding infected individuals support a substantial role in transmission of the latter before diagnosis.

Citing Articles

Exploring HIV-1 Transmission Dynamics by Combining Phylogenetic Analysis and Infection Timing.

Verhofstede C, Mortier V, Dauwe K, Callens S, Deblonde J, Dessilly G Viruses. 2019; 11(12).

PMID: 31779195 PMC: 6950120. DOI: 10.3390/v11121096.


In-depth Sampling of High-risk Populations to Characterize HIV Transmission Epidemics Among Young MSM Using PrEP in France and Quebec.

Chaillon A, Delaugerre C, Brenner B, Armero A, Capitant C, Nere M Open Forum Infect Dis. 2019; 6(3):ofz080.

PMID: 30899768 PMC: 6422434. DOI: 10.1093/ofid/ofz080.


Defining HIV-1 transmission clusters based on sequence data.

Hassan A, Pybus O, Sanders E, Albert J, Esbjornsson J AIDS. 2017; 31(9):1211-1222.

PMID: 28353537 PMC: 5482559. DOI: 10.1097/QAD.0000000000001470.

References
1.
Felsenstein J . An alternating least squares approach to inferring phylogenies from pairwise distances. Syst Biol. 1997; 46(1):101-11. DOI: 10.1093/sysbio/46.1.101. View

2.
Fisher M, Pao D, Brown A, Sudarshi D, Gill O, Cane P . Determinants of HIV-1 transmission in men who have sex with men: a combined clinical, epidemiological and phylogenetic approach. AIDS. 2010; 24(11):1739-47. DOI: 10.1097/QAD.0b013e32833ac9e6. View

3.
Hue S, Clewley J, Cane P, Pillay D . HIV-1 pol gene variation is sufficient for reconstruction of transmissions in the era of antiretroviral therapy. AIDS. 2004; 18(5):719-28. DOI: 10.1097/00002030-200403260-00002. View

4.
Saitou N, Nei M . The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987; 4(4):406-25. DOI: 10.1093/oxfordjournals.molbev.a040454. View

5.
Thompson J, Higgins D, Gibson T . CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 1994; 22(22):4673-80. PMC: 308517. DOI: 10.1093/nar/22.22.4673. View