Molecular characterization of HIV-1 in Hong Kong : a study of drug resistance mutations, tropism and viral evolution

2014 ◽  
Author(s):  
Wai-chi, Sabrina To
2012 ◽  
Vol 84 (5) ◽  
pp. 721-727 ◽  
Author(s):  
Laura Ceccarelli ◽  
Romina Salpini ◽  
Sylvie Moudourou ◽  
Valeria Cento ◽  
Maria M. Santoro ◽  
...  

2012 ◽  
Vol 84 (7) ◽  
pp. 1002-1008 ◽  
Author(s):  
Natia Dvali ◽  
Monica M. Parker ◽  
Nikoloz Chkhartishvili ◽  
Lali Sharvadze ◽  
Nino Gochitashvili ◽  
...  

2009 ◽  
Vol 9 (4) ◽  
pp. 646-652 ◽  
Author(s):  
Dagnra Anoumou Yaotsè ◽  
Vidal Nicole ◽  
Niama Fabien Roch ◽  
Prince-David Mireille ◽  
Delaporte Eric ◽  
...  

2021 ◽  
Vol 1 (1) ◽  
pp. 113-123
Author(s):  
Ahmad A. Hachem ◽  
Essa H. Hariri ◽  
Anthony Mansour ◽  
Jacques Mokhbat

Background: Antiretroviral drug resistance remains a significant problem in the clinical management of patients infected with the Human Immunodeficiency Virus type-1. Aim: This study investigates and reports data on the molecular characterization of HIV-1 isolates from patients who are in a state of therapy failure. Methods: This is a retrospective study conducted on 65 patients in therapy failure. Inclusion criteria included patients diagnosed as being in therapy failure between the years 2009 and 2013. We defined ART failure as either a failure to achieve viral suppression or a failure to detect viral loads below 500 copies/mL after virological suppression in at least two plasma samples.  We used the published WHO list for surveillance of transmitted resistance and the Stanford HIV Drug Resistance Database to identify drug resistance mutations. Results: 65% of the participants had at least one drug resistance mutation (DRM). 12% of the population sampled had resistance to only one ART class, 32% presented with resistance to two classes of antiretroviral drugs, and 20% had resistance to all three classes of drugs. The prevalence of nucleoside transcriptase inhibitor (NRTI) mutations was 55%, the most common DRM being M184V. The prevalence of non-nucleoside reverse transcriptase inhibitor (NNRTI) mutations was 58%, with the most common mutation being the K103N mutation. The prevalence of protease inhibitors drug resistance mutations was 23%, with mutations V82A and I47V being present in 10% of the study population. Conclusion: Our study is the first molecular characterization of DRM emergence in HIV-1 strains from patients failing antiretroviral therapy in Lebanon. Continuous monitoring of resistance patterns for HIV in the country is necessary to tackle the emergent drug resistance.


Viruses ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 439 ◽  
Author(s):  
Adam S. Dingens ◽  
Dana Arenz ◽  
Julie Overbaugh ◽  
Jesse D. Bloom

Identifying drug resistance mutations is important for the clinical use of antivirals and can help define both a drug’s mechanism of action and the mechanistic basis of resistance. Resistance mutations are often identified one-at-a-time by studying viral evolution within treated patients or during viral growth in the presence of a drug in cell culture. Such approaches have previously mapped resistance to enfuvirtide, the only clinically approved HIV-1 fusion inhibitor, to enfuvirtide’s binding site in the N-terminal heptad repeat (NHR) of the Envelope (Env) transmembrane domain as well as a limited number of allosteric sites. Here, we sought to better delineate the genotypic determinants of resistance throughout Env. We used deep mutational scanning to quantify the effect of all single-amino-acid mutations to the subtype A BG505 Env on resistance to enfuvirtide. We identified both previously characterized and numerous novel resistance mutations in the NHR. Additional resistance mutations clustered in other regions of Env conformational intermediates, suggesting they may act during different fusion steps by altering fusion kinetics and/or exposure of the enfuvirtide binding site. This complete map of resistance sheds light on the diverse mechanisms of enfuvirtide resistance and highlights the utility of using deep mutational scanning to comprehensively map potential drug resistance mutations.


Intervirology ◽  
2017 ◽  
Vol 60 (1-2) ◽  
pp. 33-37 ◽  
Author(s):  
Reza Golmohammadi ◽  
Kazem Baesi ◽  
Abdolvahab Moradi ◽  
Molood Farrokhi ◽  
Willi McFarland ◽  
...  

2006 ◽  
Vol 78 (11) ◽  
pp. 1385-1391 ◽  
Author(s):  
W.M. Nadembega ◽  
S. Giannella ◽  
J. Simpore ◽  
F. Ceccherini-Silberstein ◽  
V. Pietra ◽  
...  

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