Amanda Häggblom1, Veronica Svedhem2, Kamalendra Singh3, Anders Sönnerborg4, Ujjwal Neogi5. 1. Unit of Infectious Diseases, Department of Medicine Huddinge, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden; Department of Infectious Diseases, County Council of Gävleborg, Gävle, Sweden. 2. Unit of Infectious Diseases, Department of Medicine Huddinge, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden. 3. Departments of Molecular Microbiology and Immunology, Christopher Bond Life Sciences Center, University of Missouri, Columbia, MO, USA. 4. Unit of Infectious Diseases, Department of Medicine Huddinge, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden; Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden. 5. Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden. Electronic address: ujjwal.neogi@ki.se.
Abstract
BACKGROUND: People with HIV-1 in low-income and middle-income countries increasingly need second-line regimens with boosted protease inhibitors. However, data are scarce for treatment response in patients with HIV-1 subtype C (HIV-1C), which is predominant in these regions. We aimed to examine factors associated with virological failure in patients in a standardised national health-care setting. METHODS: We analysed data for participants in InfCare HIV, a prospective national cohort that includes more than 99% of people with HIV in Sweden. We extracted data for the cohort from the InfCare HIV database on Jan 14, 2015. Baseline was initiation of antiretroviral therapy. We used logistic regression to assess factors associated with primary virological failure (failure to suppress HIV-1 within 9 months) in patients with HIV-1B and HIV-1C and calculated odds ratios (OR) for failure. We also used Cox regression models to calculate hazard ratios (HR) for time-to-secondary virological failure (detectable viral load after initial virological suppression). We did homology-based molecular modelling to assess docking. FINDINGS: We included 1077 patients with HIV-1B and 596 with HIV-1C. In multivariate regression analysis, pre-therapy higher viral load (OR 1·82, 95% CI 1·49-2·21; p<0·0001), subtype C infection (1·75, 1·06-2·88; p=0·028), and boosted protease inhibitor-based regimens (1·55, 1·45-2·11; p=0·004) were associated with increased risk of primary virological failure. Individuals with HIV-1C who were given therapy with boosted protease inhibitors had earlier time-to-secondary virological failure than did those with HIV-1B given similar regimens (adjusted HR 1·92, 95% CI 1·30-2·83; p=0·002). Molecular modelling suggested lower affinity for protease inhibitors to HIV-1C protease than to HIV-1B. INTERPRETATION: Our findings suggest an increased risk of virological failure in patients with HIV-1C, especially in those on boosted protease inhibitor-based regimens. Future studies should further dissect the biochemical and viral mechanisms of resistance to protease inhibitors in patients with non-B subtypes of HIV-1, including clinical studies to assess the efficacy of boosted protease inhibitor-based regimens in low-income and middle income countries. FUNDING: Karolinska Institutet Research Foundation, Swedish Research Council, Stockholm County Council, Swedish Physicians against AIDS, US National Institutes of Health, University of Missouri.
BACKGROUND:People with HIV-1 in low-income and middle-income countries increasingly need second-line regimens with boosted protease inhibitors. However, data are scarce for treatment response in patients with HIV-1 subtype C (HIV-1C), which is predominant in these regions. We aimed to examine factors associated with virological failure in patients in a standardised national health-care setting. METHODS: We analysed data for participants in InfCare HIV, a prospective national cohort that includes more than 99% of people with HIV in Sweden. We extracted data for the cohort from the InfCare HIV database on Jan 14, 2015. Baseline was initiation of antiretroviral therapy. We used logistic regression to assess factors associated with primary virological failure (failure to suppress HIV-1 within 9 months) in patients with HIV-1B and HIV-1C and calculated odds ratios (OR) for failure. We also used Cox regression models to calculate hazard ratios (HR) for time-to-secondary virological failure (detectable viral load after initial virological suppression). We did homology-based molecular modelling to assess docking. FINDINGS: We included 1077 patients with HIV-1B and 596 with HIV-1C. In multivariate regression analysis, pre-therapy higher viral load (OR 1·82, 95% CI 1·49-2·21; p<0·0001), subtype C infection (1·75, 1·06-2·88; p=0·028), and boosted protease inhibitor-based regimens (1·55, 1·45-2·11; p=0·004) were associated with increased risk of primary virological failure. Individuals with HIV-1C who were given therapy with boosted protease inhibitors had earlier time-to-secondary virological failure than did those with HIV-1B given similar regimens (adjusted HR 1·92, 95% CI 1·30-2·83; p=0·002). Molecular modelling suggested lower affinity for protease inhibitors to HIV-1C protease than to HIV-1B. INTERPRETATION: Our findings suggest an increased risk of virological failure in patients with HIV-1C, especially in those on boosted protease inhibitor-based regimens. Future studies should further dissect the biochemical and viral mechanisms of resistance to protease inhibitors in patients with non-B subtypes of HIV-1, including clinical studies to assess the efficacy of boosted protease inhibitor-based regimens in low-income and middle income countries. FUNDING: Karolinska Institutet Research Foundation, Swedish Research Council, Stockholm County Council, Swedish Physicians against AIDS, US National Institutes of Health, University of Missouri.
Authors: Philippa J Easterbrook; Mel Smith; Jane Mullen; Siobhan O'Shea; Ian Chrystie; Annemiek de Ruiter; Iain D Tatt; Anna Maria Geretti; Mark Zuckerman Journal: J Int AIDS Soc Date: 2010-02-03 Impact factor: 5.396
Authors: Charles F Gilks; Siobhan Crowley; René Ekpini; Sandy Gove; Jos Perriens; Yves Souteyrand; Don Sutherland; Marco Vitoria; Teguest Guerma; Kevin De Cock Journal: Lancet Date: 2006-08-05 Impact factor: 79.321
Authors: Rami Kantor; Laura Smeaton; Saran Vardhanabhuti; Sarah E Hudelson; Carol L Wallis; Srikanth Tripathy; Mariza G Morgado; Shanmugham Saravanan; Pachamuthu Balakrishnan; Marissa Reitsma; Stephen Hart; John W Mellors; Elias Halvas; Beatriz Grinsztejn; Mina C Hosseinipour; Johnstone Kumwenda; Alberto La Rosa; Umesh G Lalloo; Javier R Lama; Mohammed Rassool; Breno R Santos; Khuanchai Supparatpinyo; James Hakim; Timothy Flanigan; Nagalingeswaran Kumarasamy; Thomas B Campbell; Susan H Eshleman Journal: Clin Infect Dis Date: 2015-02-13 Impact factor: 9.079
Authors: Inge Dierynck; Sandra De Meyer; Erkki Lathouwers; Carline Vanden Abeele; Tom Van De Casteele; Sabrina Spinosa-Guzman; Marie-Pierre de Béthune; Gaston Picchio Journal: Antivir Ther Date: 2010
Authors: Ujjwal Neogi; Susan Engelbrecht; Mathilda Claassen; Graeme Brendon Jacobs; Gert van Zyl; Wolfgang Preiser; Anders Sonnerborg Journal: AIDS Res Hum Retroviruses Date: 2015-10-09 Impact factor: 2.205
Authors: Ujjwal Neogi; Kamalendra Singh; Shambhu G Aralaguppe; Leonard C Rogers; Duncan T Njenda; Stefan G Sarafianos; Bo Hejdeman; Anders Sönnerborg Journal: AIDS Date: 2018-02-20 Impact factor: 4.177
Authors: Kyle J Hill; Leonard C Rogers; Duncan T Njenda; Donald H Burke; Stefan G Sarafianos; Anders Sönnerborg; Ujjwal Neogi; Kamalendra Singh Journal: AIDS Date: 2019-03-01 Impact factor: 4.177
Authors: Susan H Eshleman; Ethan A Wilson; Xinyi C Zhang; San-San Ou; Estelle Piwowar-Manning; Joseph J Eron; Marybeth McCauley; Theresa Gamble; Joel E Gallant; Mina C Hosseinipour; Nagalingeswaran Kumarasamy; James G Hakim; Ben Kalonga; Jose H Pilotto; Beatriz Grinsztejn; Sheela V Godbole; Nuntisa Chotirosniramit; Breno Riegel Santos; Emily Shava; Lisa A Mills; Ravindre Panchia; Noluthando Mwelase; Kenneth H Mayer; Ying Q Chen; Myron S Cohen; Jessica M Fogel Journal: HIV Clin Trials Date: 2017-04-07
Authors: María Fernanda Montenegro-Landívar; Paulina Tapia-Quirós; Xanel Vecino; Mònica Reig; César Valderrama; Mercè Granados; José Luis Cortina; Javier Saurina Journal: Sci Total Environ Date: 2021-08-19 Impact factor: 7.963
Authors: Ellen White; Erasmus Smit; Duncan Churchill; Simon Collins; Clare Booth; Anna Tostevin; Caroline Sabin; Deenan Pillay; David T Dunn Journal: J Infect Dis Date: 2016-05-24 Impact factor: 5.226