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1. Genotypic resistance profiles associated with virological failure to darunavir-containing regimens: a cross-sectional analysis

Author

Sterrantino, G, Zaccarelli, M, Colao, G, Baldanti, F, Di Giambenedetto, S, Carli, T, Maggiolo, F, Zazzi, M, Giacometti, A, Butini, L, Del Gobbo, R, Bagnarelli, P, Tacconi, D, Corbelli, G, Zanussi, S, Monno, L, Punzi, G, Callegaro, A, Calza, L, Re, MC, Pristera, R, Turconi, P, Mandas, A, Tini, S, Zoncada, A, Paolini, E, Amadio, G, Sighinolfi, L, Zuccati, G, Morfini, M, Manetti, R, Corsi, P, Galli, L, Di Pietro, M, Bartalesi, F, Tosti, A, Di Biagio, A, Setti, M, Bruzzone, B, di Biagio, A, Penco, G, Trezzi, M, Orani, A, Pardelli, R, Arcidiacono, I, Degiuli, A, de Gennaro, M, Chiodera, A, Scalzini, A, Palvarini, L, Almi, P, Todaro, G, Cicconi, P, Rusconi, S, Gismondo, MR, Micheli, V, Biondi ML, Gianotti, N, Capetti, A, Meraviglia, P, Boeri, E, Mussini, C, Pecorari, M, Soria, A, Vecchi, L, Gerardo, AO, Santirocchi, M, Brustia, D, Maggiore, AO, Ravanini, P, Bello, FD, Romano, N, MANCUSO, Salvatrice, Calzetti, C, Maserati, R, Filice, G, Francisci, D, Parruti, G, Polilli, E, Sacchini, D, Martinelli, C, Consolini, R, Vatteroni, L, Vivarelli, A, Nerli, A, Lenzi, L, Magnani, G, Ortolani, P, Andreoni, M, Palamara, G, Fimiani, C, Palmisano, L, di Giambenedetto, S, Colafigli, M, Vullo, V, Turriziani, O, Montano, M, Antinori, A, Dentone, C, Gonnelli, A, de Luca, A, Palumbo, M, Ghisetti, V, Bonora, S, Foglie, PD, Rossi, C, Mondino, V, Malena, M, Grossi, P, Seminari, E, Poletti, F., Sterrantino, G, Zaccarelli, M, Colao, G, Baldanti, F, Di Giambenedetto, S, Carli, T, Maggiolo, F, Zazzi, M, Giacometti, A, Butini, L, Del Gobbo, R, Bagnarelli, P, Tacconi, D, Corbelli, G, Zanussi, S, Monno, L, Punzi, G, Callegaro, A, Calza, L, Re, MC, Pristera, R, Turconi, P, Mandas, A, Tini, S, Zoncada, A, Paolini, E, Amadio, G, Sighinolfi, L, Zuccati, G, Morfini, M, Manetti, R, Corsi, P, Galli, L, Di Pietro, M, Bartalesi, F, Tosti, A, Di Biagio, A, Setti, M, Bruzzone, B, di Biagio, A, Penco, G, Trezzi, M, Orani, A, Pardelli, R, Arcidiacono, I, Degiuli, A, de Gennaro, M, Chiodera, A, Scalzini, A, Palvarini, L, Almi, P, Todaro, G, Cicconi, P, Rusconi, S, Gismondo, MR, Micheli, V, Biondi ML, Gianotti, N, Capetti, A, Meraviglia, P, Boeri, E, Mussini, C, Pecorari, M, Soria, A, Vecchi, L, Gerardo, AO, Santirocchi, M, Brustia, D, Maggiore, AO, Ravanini, P, Bello, FD, Romano, N, Mancuso, S, Calzetti, C, Maserati, R, Filice, G, Francisci, D, Parruti, G, Polilli, E, Sacchini, D, Martinelli, C, Consolini, R, Vatteroni, L, Vivarelli, A, Nerli, A, Lenzi, L, Magnani, G, Ortolani, P, Andreoni, M, Palamara, G, Fimiani, C, Palmisano, L, di Giambenedetto, S, Colafigli, M, Vullo, V, Turriziani, O, Montano, M, Antinori, A, Dentone, C, Gonnelli, A, de Luca, A, Palumbo, M, Ghisetti, V, Bonora, S, Foglie, PD, Rossi, C, Mondino, V, Malena, M, Grossi, P, Seminari, E, and Poletti, F

Subjects
Male, Time Factors, Cross-sectional study, Human immunodeficiency virus (HIV), Drug Resistance, HIV Infections, Drug resistance, medicine.disease_cause, Cohort Studies, Antiretroviral Therapy, Highly Active, Ritonavir-boosted darunavir, Genotype, HIV Infection, Treatment Failure, Viral, Genotypic resistance, Darunavir, Sulfonamides, General Medicine, Middle Aged, Virological failure, Infectious Diseases, Female, Human, medicine.drug, Adult, Microbiology (medical), Logistic Model, Time Factor, Antiretroviral Therapy, Settore MED/17 - MALATTIE INFETTIVE, Sulfonamide, Drug Resistance, Viral, medicine, Humans, Highly Active, Protease inhibitors, Cross-Sectional Studies, HIV Protease Inhibitors, HIV-1, Logistic Models, Mutation, HIV Protease Inhibitor, Cross-Sectional Studie, business.industry, Antiretroviral therapy, Virology, Protease inhibitor, Cohort Studie, business
Abstract

Introduction: This study aimed at defining protease (PR) resistance mutations associated with darunavir (DRV) failure and PR resistance evolution at DRV failure in a large database of treatment-experienced human immunodeficiency virus (HIV) patients. Results: Overall, 1,104 patients were included: 118 (10.7%) failed at a median observation time of 16 months. The mean number of PR mutations at baseline was 2.7, but it was higher in patients who subsequently failed DRV. In addition, the number of PR mutations increased at failure. The increase in the mean number of mutations was completely related to mutations considered to be associated with DRV resistance following the indications of the main DRV clinical trials. Discussion The higher statistical difference at baseline between failing versus non-failing patients was observed for the V32I and I84V mutations. At DRV failure, the major increase was still observed for V32I; I54L, V11I, T74P and I50V also increased. Despite the increment in the mean number of mutations per patient between baseline and failure, in 21 patients (17.8%) at baseline and 36 (30.5%) at failure, no PR mutation was detected. Conclusion: The HIV-DB interpretation algorithm identified few patients with full DRV resistance at baseline and few patients developed full resistance at DRV failure, indicating that complete resistance to DRV is uncommon. © Springer-Verlag 2011.

Published
2012

2. Detection of drug resistance mutations at low plasma HIV-1 RNA load in a European multicentre cohort study

Author

Prosperi, Mc1, Mackie, N, Di Giambenedetto, S, Zazzi, M, Camacho, R, Fanti, I, Torti, C, Sönnerborg, A, Kaiser, R, Codoñer, Fm, Van Laethem, K, Bansi, L, van de Vijver DA, Geretti, Am, De Luca, A, Giacometti A, SEHERE c. o. n. s. o. r. t. i. u. m., Butini, L, del Gobbo, R, Menzo, S, Tacconi, D, Corbelli, G, Zanussi, S, Monno, L, Punzi, G, Maggiolo, F, Callegaro, A, Calza, L, Carla Re, M, Pristerà, R, Turconi, P, Mandas, A, Tini, S, Zoncada, A, Paolini, E, Amadio, G, Sighinolfi, L, Zuccati, G, Morfini, M, Manetti, R, Corsi, P, Galli, L, Di Pietro, M, Bartalesi, F, Colao, G, Tosti, A, Di Biagio, A, Setti, M, Bruzzone, B, Penco, G, Trezzi, M, Orani, A, Pardelli, R, De Gennaro, M, Chiodera, A, Scalzini, A, Palvarini, L, Almi, P, Todaro, G, d'Arminio Monforte, A, Cicconi, P, Rusconi, S, Gismondo, Mr, Micheli, V, Biondi, Ml, Gianotti, N, Capetti, A, Meraviglia, P, Boeri, E, Mussini, C, Pecorari, M, Soria, A, Vecchi, L, Santirocchi, M, Brustia, D, Ravanini, P, Bello, Fd, Romano, N, Mancuso, S, Calzetti, C, Maserati, R, Filice, G, Baldanti, F, Francisci, D, Parruti, G, Polilli, E, Sacchini, D, Martinelli, C, Consolini, R, Vatteroni, L, Vivarelli, A, Dionisio, D, Nerli, A, Lenzi, L, Magnani, G, Ortolani, P, Andreoni, M, Palamara, G, Fimiani, C, Palmisano, L, Fadda, G, Vullo, Vincenzo, Turriziani, O, Montano, M, Cenderello, G, Gonnelli, A, Palumbo, M, Ghisetti, V, Bonora, S, Foglie, Pd, Rossi, C, Grossi, P, Seminari, E, Poletti, F, Mondino, V, Malena, M, Lattuada, E, Lengauer, T, Däumer, M, Hoffmann, D, Schülter, E, Müller, C, Oette, M, Reuter, S, Esser, S, Fätkenheuer, G, Rockstroh, J, Incardona, F, Rosen Zvi, M, Clotet, B, Thalme, A, Svedhem, V, Bratt, G, Gargiulo, F, Lapadula, G, Manca, N, Paraninfo, G, Quiros Roldan, E, Carosi, G, Castelnuovo, F, Vandamme, Am, Van Wijngaerden, E, Ainsworth, J, Anderson, J, Babiker, A, Dunn, D, Easterbrook, P, Fisher, M, Gazzard, B, Garrett, N, Gilson, R, Gompels, M, Hill, T, Johnson, M, Leen, C, Orkin, C, Phillips, A, Pillay, D, Porter, K, Post, F, Sabin, C, Sadiq, T, Schwenk, A, Walsh, J, Delpech, V, Palfreeman, A, Glabay, A, Lynch, J, Hand, J, de Souza, C, Perry, N, Tilbury, S, Churchill, D, Nelson, M, Waxman, M, Mandalia, S, Kall, M, Korat, H, Taylor, C, Ibrahim, F, Campbell, L, James, L, Brima, N, Williams, I, Youle, M, Lampe, F, Smith, C, Grabowska, H, Chaloner, C, Puradiredja, Di, Weber, J, Ramzan, F, Carder, M, Wilson, A, Dooley, D, Asboe, D, Pozniak, A, Cameron, S, Cane, P, Chadwick, D, Clark, D, Collins, S, Lazarus, L, Dolling, D, Fearnhill, E, Castro, H, Coughlin, K, Zuckerman, M, Booth, C, Goldberg, D, Hale, A, Kaye, S, Kellam, P, Leigh Brown, A, Smit, E, Templeton, K, Tilston, P, Tong, W, Zhang, H, Ushiro Lumb, I, Oliver, T, Bibby, D, Mitchell, S, Mbisa, T, Wildfire, A, Tandy, R, Shepherd, J, Maclean, A, Bennett, D, Hopkins, M, Garcia Diaz, A, Kirk, S, Sloot, P. M., Virology, Prosperi, M, Mackie, N, di Giambenedetto, S, Zazzi, M, Camacho, R, Fanti, I, Torti, C, Sönnerborg, A, Kaiser, R, Codoñer, F, van laethem, K, Bansi, L, van de Vijver, D, Geretti, A, de luca, A, and Mancuso, S

Subjects
Male, Drug Resistance, HIV Infections, Drug resistance, Cohort Studies, 0302 clinical medicine, Genotype, HIV Infection, Pharmacology (medical), 030212 general & internal medicine, Viral, 0303 health sciences, Proteolytic enzymes, Genotypic testing, HIV, Viral load, Adult, Anti-HIV Agents, CD4 Lymphocyte Count, Europe, Female, HIV-1, Humans, RNA, Viral, Viral Proteins, Drug Resistance, Viral, Mutation, Missense, Viral Load, Pharmacology, Infectious Diseases, 3. Good health, Cohort, Cohort study, Human, Microbiology (medical), Biology, Settore MED/17 - MALATTIE INFETTIVE, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Viral Protein, 030306 microbiology, Anti-HIV Agent, Virology, Reverse transcriptase, Regimen, genotypic testing, viral load, Immunology, Mutation, RNA, Missense, Cohort Studie
Abstract

Background and objectives: Guidelines indicate a plasma HIV-1 RNA load of 500-1000 copies/mL as the minimal threshold for antiretroviral drug resistance testing. Resistance testing at lower viral load levels may be useful to guide timely treatment switches, although data on the clinical utility of this remain limited. We report here the influence of viral load levels on the probability of detecting drug resistance mutations (DRMs) and other mutations by routine genotypic testing in a large multicentre European cohort, with a focus on tests performed at a viral load

Published
2011

3. Limited sampling strategy for the estimation of systemic exposure to the protease inhibitor nelfinavir.

Author

Regazzi MB, Tinelli C, Villani P, Cusato M, Zucchi P, De Silvestri A, Briganti E, Roda R, Sacchelli L, Gatti F, Foglie PD, Nardini G, Mori F, Castelli P, Testa L, and Maserati R

Subjects
Area Under Curve, Drug Monitoring, HIV Infections drug therapy, Humans, Nelfinavir pharmacokinetics, Blood Specimen Collection, HIV Protease Inhibitors blood, Nelfinavir blood
Abstract

Therapeutic drug monitoring (TDM) of antiretroviral drugs has been proposed as a means of optimizing response to highly active antiretroviral therapy (HAART) in HIV infection because suboptimal exposure to these agents may lead to the development of resistant viral strains and subsequent therapeutic failure. The area under the curve (AUC), though considered to make the best estimate of total drug exposure, requires repeated blood sampling. The authors investigated the predictability of individual nelfinavir (NFV) concentrations at different time points for the AUC and tried to find the best sampling time for the abbreviated AUC to predict NFV total body exposure. A total of 99 NFV AUC0-12h values were measured in 99 patients receiving a 1250-mg oral dose twice a day. Venous blood samples were collected at baseline (predose, 0) and 1, 2, 3, 4, 5, 6, 8, and 12 hours postdose. A stepwise forward-selection, multiple-regression technique was chosen to assess the relative importance of single and combination concentration time points to predict the AUC calculated from the entire pharmacokinetic profile. Data were split into a development set and a validation set. The development set contained 49 randomly selected HIV patients. Of these, 22 HIV patients were coinfected with HCV, 7 with and 15 without cirrhosis. One-point predictors provided the lowest prediction precision, but predictive performance improved after the first 2 hours postdose. Plasma concentrations at 0 and 4 hours after the oral dose were most predictive if 2 variables were used in the regression equation. The AUC could be estimated from data for these 2 samples by using the following equation: AUC0-12 = 3.0 + 2.7 (C0) + 6.4 (C4), r = 92. The predictive performance of 2-point predictors at 0 and 4 hours (C0 + C4) was validated by comparing their ability to predict the full AUC in a validation set representative of HIV/HCV patients (n = 28) and HIV/HCV patients, with (n = 8) and without (n = 14) cirrhosis. The results showed a mean bias ranging from +2.7% in HIV/HCV patients to -6.0% in HCV coinfection with cirrhosis. The authors conclude that this result is clinically significant. The limited sampling strategy (LSS) described could be used in clinical practice for the easy assessment of the total exposure to NFV in HIV/HCV patients, both with and without cirrhosis.

Published
2005
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