Literature DB >> 32663847

Near Real-Time Identification of Recent Human Immunodeficiency Virus Transmissions, Transmitted Drug Resistance Mutations, and Transmission Networks by Multiplexed Primer ID-Next-Generation Sequencing in North Carolina.

Shuntai Zhou1, Sabrina Sizemore1, Matt Moeser1, Scott Zimmerman2, Erika Samoff2, Victoria Mobley2, Simon Frost3, Andy Cressman1, Michael Clark1, Tara Skelly1, Hemant Kelkar1, Umadevi Veluvolu1, Corbin Jones1, Joseph Eron1, Myron Cohen1, Julie A E Nelson1, Ronald Swanstrom1, Ann M Dennis1.   

Abstract

BACKGROUND: The identification of recent human immunodeficiency virus (HIV) 1 infections among people with new HIV diagnoses is important to both tailoring and assessing the impact of HIV-1 prevention strategies.
METHODS: We developed a multiplexed Primer ID-next-generation sequencing approach to identify recent infections by measuring the intrahost viral diversity over multiple regions of the HIV-1 genome, in addition to detecting drug resistance mutations (DRMs) and phylogenetically linked clusters. We summarize the field implementation of this all-in-one platform among persons with newly diagnosed HIV-1 by the North Carolina State Laboratory of Public Health in 2018.
RESULTS: Overall, recent infection was identified in 94 (35%) of 268 patients with new HIV diagnoses. People <30 years old, and people who inject drugs were more likely to have diagnoses of recent infection. The reverse-transcriptase region K103N was the most commonly detected DRM (prevalence, approximately 15%). We found a total of 28 clusters, and persons with recent infection were more likely to be cluster members than were those with chronic infections (P = .03).
CONCLUSIONS: We demonstrate the rapid identification of recent infection and pretreatment DRMs coupled with cluster analysis that will allow prioritization of linkage to care, treatment, and prevention interventions to those at highest risk of onward transmission.
© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  drug resistance mutations; next-generation sequencing; recency; transmission network

Mesh:

Substances:

Year:  2021        PMID: 32663847      PMCID: PMC7938176          DOI: 10.1093/infdis/jiaa417

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


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Review 8.  HIV-1 drug resistance and resistance testing.

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Journal:  Lancet Infect Dis       Date:  2017-12-05       Impact factor: 25.071

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