Literature DB >> 27742812

Enhanced surveillance of HIV-1 drug resistance in recently infected MSM in the UK.

Emma Cunningham1, Yuen-Ting Chan1, Adamma Aghaizu2, David F Bibby1,3, Gary Murphy1, Jennifer Tosswill1, Ross J Harris4, Richard Myers1, Nigel Field2, Valerie Delpech2,3, Patricia A Cane1,3, O Noel Gill2,3, Jean L Mbisa5,3.   

Abstract

OBJECTIVES: To determine the prevalence of inferred low-frequency HIV-1 transmitted drug resistance (TDR) in MSM in the UK and its predicted effect on first-line therapy.
METHODS: The HIV-1 pol gene was amplified from 442 newly diagnosed MSM identified as likely recently infected by serological avidity testing in 2011-13. The PCR products were sequenced by next-generation sequencing with a mutation frequency threshold of >2% and TDR mutations defined according to the 2009 WHO surveillance drug resistance mutations list.
RESULTS: The majority (75.6%) were infected with subtype B and 6.6% with rare complex or unique recombinant forms. At a mutation frequency threshold of >20%, 7.2% (95% CI 5.0%-10.1%) of the sequences had TDR and this doubled to 15.8% (95% CI 12.6%-19.6%) at >2% mutation frequency (P < 0.0001). The majority (26/42, 62%) of low-frequency variants were against PIs. The most common mutations detected at >20% and 2%-20% mutation frequency differed for each drug class, these respectively being: L90M (n = 7) and M46IL (n = 10) for PIs; T215rev (n = 9) and D67GN (n = 4) for NRTIs; and K103N (n = 5) and G190E (n = 2) for NNRTIs. Combined TDR was more frequent in subtype B than non-B (OR = 0.38; 95% CI = 0.17-0.88; P = 0.024) and had minimal predicted effect on recommended first-line therapies.
CONCLUSIONS: The data suggest differences in the types of low-frequency compared with majority TDR variants that require a better understanding of the origins and clinical significance of low-frequency variants. This will better inform diagnostic and treatment strategies. © Crown copyright 2016.

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Year:  2016        PMID: 27742812     DOI: 10.1093/jac/dkw404

Source DB:  PubMed          Journal:  J Antimicrob Chemother        ISSN: 0305-7453            Impact factor:   5.790


  14 in total

1.  Low-Abundance Drug-Resistant HIV-1 Variants in Antiretroviral Drug-Naive Individuals: A Systematic Review of Detection Methods, Prevalence, and Clinical Impact.

Authors:  Herbert A Mbunkah; Silvia Bertagnolio; Raph L Hamers; Gillian Hunt; Seth Inzaule; Tobias F Rinke De Wit; Roger Paredes; Neil T Parkin; Michael R Jordan; Karin J Metzner
Journal:  J Infect Dis       Date:  2020-04-27       Impact factor: 5.226

2.  Next generation sequencing of HIV-1 protease in the PIVOT trial of protease inhibitor monotherapy.

Authors:  David T Dunn; Wolfgang Stöhr; Alejandro Arenas-Pinto; Anna Tostevin; Jean L Mbisa; Nicholas I Paton
Journal:  J Clin Virol       Date:  2018-02-05       Impact factor: 3.168

3.  Prevalence and determinants of virological failure, genetic diversity and drug resistance among people living with HIV in a minority area in China: a population-based study.

Authors:  Dan Yuan; Meijing Liu; Peng Jia; Yiping Li; Yuling Huang; Li Ye; Laze Api; Maogang Chen; Liang Yao; Zixin Wang; Honglu Liu; Shu Liang; Shujuan Yang
Journal:  BMC Infect Dis       Date:  2020-06-23       Impact factor: 3.090

4.  Characterization of minority HIV-1 drug resistant variants in the United Kingdom following the verification of a deep sequencing-based HIV-1 genotyping and tropism assay.

Authors:  Nicholas Silver; Mary Paynter; Georgina McAllister; Maureen Atchley; Christine Sayir; John Short; Dane Winner; David J Alouani; Freddie H Sharkey; Kicki Bergefall; Kate Templeton; David Carrington; Miguel E Quiñones-Mateu
Journal:  AIDS Res Ther       Date:  2018-11-08       Impact factor: 2.250

5.  Seroprevalence of HCV, HBV and HIV in two inner-city London emergency departments.

Authors:  L Cieply; R Simmons; S Ijaz; E Kara; A Rodger; W Rosenberg; A McGuinness; J L Mbisa; J Ledesma; N Ohemeng-Kumi; S Dicks; H Potts; S Lattimore; S Mandal
Journal:  Epidemiol Infect       Date:  2019-01       Impact factor: 2.451

6.  Prevalence and persistence of transmitted drug resistance mutations in the German HIV-1 Seroconverter Study Cohort.

Authors:  Patrycja Machnowska; Karolin Meixenberger; Daniel Schmidt; Heiko Jessen; Heribert Hillenbrand; Barbara Gunsenheimer-Bartmeyer; Osamah Hamouda; Claudia Kücherer; Norbert Bannert
Journal:  PLoS One       Date:  2019-01-16       Impact factor: 3.240

7.  Presence, persistence and effects of pre-treatment HIV-1 drug resistance variants detected using next generation sequencing: A Retrospective longitudinal study from rural coastal Kenya.

Authors:  Amin S Hassan; David F Bibby; Shalton M Mwaringa; Clara A Agutu; Kennedy K Ndirangu; Eduard J Sanders; Patricia A Cane; Jean L Mbisa; James A Berkley
Journal:  PLoS One       Date:  2019-02-13       Impact factor: 3.240

8.  Determining the Origins of Human Immunodeficiency Virus Type 1 Drug-resistant Minority Variants in People Who Are Recently Infected Using Phylogenetic Reconstruction.

Authors:  Jean L Mbisa; Peter Kirwan; Anna Tostevin; Juan Ledesma; David F Bibby; Alison Brown; Richard Myers; Amin S Hassan; Gary Murphy; David Asboe; Anton Pozniak; Stuart Kirk; O Noel Gill; Caroline Sabin; Valerie Delpech; David T Dunn
Journal:  Clin Infect Dis       Date:  2019-09-13       Impact factor: 9.079

9.  Transmitted HIV-1 drug resistance in a large international cohort using next-generation sequencing: results from the Strategic Timing of Antiretroviral Treatment (START) study.

Authors:  J D Baxter; D Dunn; A Tostevin; R L Marvig; M Bennedbaek; A Cozzi-Lepri; S Sharma; M J Kozal; M Gompels; A N Pinto; J Lundgren
Journal:  HIV Med       Date:  2020-12-25       Impact factor: 3.094

10.  Drug resistance outcomes of long-term ART with tenofovir disoproxil fumarate in the absence of virological monitoring.

Authors:  Giovanni Villa; Richard O Phillips; Colette Smith; Alexander J Stockdale; Alessandra Ruggiero; Apostolos Beloukas; Lambert T Appiah; David Chadwick; Fred S Sarfo; Anna Maria Geretti
Journal:  J Antimicrob Chemother       Date:  2018-11-01       Impact factor: 5.790

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