BACKGROUND: Our aim was to study the in vivo viral genetic pathways for resistance to raltegravir, in antiretroviral-experienced patients with virological failure (VF) on raltegravir-containing regimens. METHODS: We set up a prospective study including antiretroviral-experienced patients receiving raltegravir-based regimens. Integrase (IN) genotypic resistance analysis was performed at baseline. IN was also sequenced at follow-up points in the case of VF, i.e. plasma HIV-1 RNA>400 copies/mL at month 3 and/or >50 copies/mL at month 6. For phenotyping, the IN region was recombined with an IN-deleted HXB2-based HIV-1 backbone. A titrated amount of IN recombinant viruses was used for antiviral testing against raltegravir and elvitegravir. RESULTS: Among 51 patients, 11 (21.6%) had VF. Four different patterns of IN mutations were observed: (i) emergence of Q148H/R with secondary mutations (n=5 patients); (ii) emergence of N155H, then replaced by a pattern including Y143C/H/R (n=3); (iii) selection of S230N (n=1); and (iv) no evidence of selection of IN mutations (n=2). The median raltegravir and elvitegravir fold changes (FCs) were 244 (154-647) and 793 (339-892), respectively, for the Q148H/R pattern, while the median raltegravir and elvitegravir FCs were 21 (6-52) and 3 (2-3), respectively, with Y143C/H/R. The median plasma raltegravir Cmin was lower in patients with selection of the N155H mutation followed by Y143C/H/R compared with patients with Q148H/R and with patients without emerging mutations or without VF. CONCLUSIONS: Diverse genetic profiles can be associated with VF on raltegravir-containing regimens, including the dynamics of replacement of mutational profiles. Pharmacokinetic parameters could be involved in this genetic evolution.
BACKGROUND: Our aim was to study the in vivo viral genetic pathways for resistance to raltegravir, in antiretroviral-experienced patients with virological failure (VF) on raltegravir-containing regimens. METHODS: We set up a prospective study including antiretroviral-experienced patients receiving raltegravir-based regimens. Integrase (IN) genotypic resistance analysis was performed at baseline. IN was also sequenced at follow-up points in the case of VF, i.e. plasma HIV-1 RNA>400 copies/mL at month 3 and/or >50 copies/mL at month 6. For phenotyping, the IN region was recombined with an IN-deleted HXB2-based HIV-1 backbone. A titrated amount of IN recombinant viruses was used for antiviral testing against raltegravir and elvitegravir. RESULTS: Among 51 patients, 11 (21.6%) had VF. Four different patterns of IN mutations were observed: (i) emergence of Q148H/R with secondary mutations (n=5 patients); (ii) emergence of N155H, then replaced by a pattern including Y143C/H/R (n=3); (iii) selection of S230N (n=1); and (iv) no evidence of selection of IN mutations (n=2). The median raltegravir and elvitegravir fold changes (FCs) were 244 (154-647) and 793 (339-892), respectively, for the Q148H/R pattern, while the median raltegravir and elvitegravir FCs were 21 (6-52) and 3 (2-3), respectively, with Y143C/H/R. The median plasma raltegravir Cmin was lower in patients with selection of the N155H mutation followed by Y143C/H/R compared with patients with Q148H/R and with patients without emerging mutations or without VF. CONCLUSIONS: Diverse genetic profiles can be associated with VF on raltegravir-containing regimens, including the dynamics of replacement of mutational profiles. Pharmacokinetic parameters could be involved in this genetic evolution.
Authors: Saleta Sierra; Nadine Lübke; Hauke Walter; Eugen Schülter; Stefan Reuter; Gerd Fätkenheuer; Markus Bickel; Hugo da Silva; Rolf Kaiser; Stefan Esser Journal: Med Microbiol Immunol Date: 2011-04-08 Impact factor: 3.402
Authors: Jing Tang; Kasthuraiah Maddali; Mathieu Metifiot; Yuk Y Sham; Robert Vince; Yves Pommier; Zhengqiang Wang Journal: J Med Chem Date: 2011-03-07 Impact factor: 7.446
Authors: Bulan Wu; Jing Tang; Daniel J Wilson; Andrew D Huber; Mary C Casey; Juan Ji; Jayakanth Kankanala; Jiashu Xie; Stefan G Sarafianos; Zhengqiang Wang Journal: J Med Chem Date: 2016-06-17 Impact factor: 7.446
Authors: Issa S Moody; Shawn C Verde; Cathie M Overstreet; W Edward Robinson; Gregory A Weiss Journal: Bioorg Med Chem Lett Date: 2012-07-10 Impact factor: 2.823