Anna Maria Geretti1,2, Jose Luis Blanco3,4, Anne Genevieve Marcelin5, Carlo Federico Perno6, Hans Jurgen Stellbrink7, Dan Turner8, Tuba Zengin9. 1. Department of Infectious Diseases, Fondazione PTV and University of Rome Tor Vergata, Viale Oxford 81, 00133, Rome, Italy. anna_maria.geretti@kcl.ac.uk. 2. School of Immunology & Microbial Sciences, King's College London, London, UK. anna_maria.geretti@kcl.ac.uk. 3. Infectious Diseases Department, Hospital Clinic of Barcelona, Barcelona, Spain. 4. Infectious Diseases & AIDS Unit Hospital Clinic Barcelona, University of Barcelona, Barcelona, Spain. 5. Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpital Pitié-Salpêtrière, Virologie, 75013, Paris, France. 6. Multimodal Medicine Research Area, Children Hospital IRCCS Bambino Gesù, Rome, Italy. 7. ICH Infectious Diseases Center, Hamburg, Germany. 8. Crusaid Kobler AIDS Center, Tel Aviv Sourasky Medical Center, Affiliated to the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. 9. Global Medical Affairs HIV, Gilead Sciences, London, UK.
Abstract
INTRODUCTION: Proviral HIV DNA integrated within CD4 T-cells maintains an archive of viral variants that replicate during the course of the infection, including variants with reduced drug susceptibility. We considered studies that investigated archived drug resistance, with a focus on virologically suppressed patients and highlighted interpretative caveats and gaps in knowledge. RESULTS: Either Sanger or deep sequencing can be used to investigate resistance-associated mutations (RAMs) in HIV DNA recovered from peripheral blood. Neither technique is free of limitations. Furthermore, evidence regarding the establishment, maintenance, expression and clinical significance of archived drug-resistant variants is conflicting. This in part reflects the complexity of the HIV proviral landscape and its dynamics during therapy. Clinically, detection of RAMs in cellular HIV DNA has a variable impact on treatment outcomes, modulated by the drugs affected, treatment duration and additional determinants of virological failure, including those leading to suboptimal drug exposure. CONCLUSIONS: Sequencing cellular HIV DNA can provide helpful complementary information in treatment-experienced patients with suppressed plasma HIV RNA who require a change of regimen. However, care should be taken when interpreting the results. Presence of RAMs is not necessarily a barrier to treatment success. Conversely, even the most sensitive sequencing techniques will fail to provide a comprehensive view of the HIV DNA archive. To inform treatment decisions appropriately, the overall clinical and treatment history of a patient must always be considered alongside the results of resistance testing. Prospective controlled studies are needed to validate the utility of drug resistance testing using cellular HIV DNA.
INTRODUCTION: Proviral HIV DNA integrated within CD4 T-cells maintains an archive of viral variants that replicate during the course of the infection, including variants with reduced drug susceptibility. We considered studies that investigated archived drug resistance, with a focus on virologically suppressed patients and highlighted interpretative caveats and gaps in knowledge. RESULTS: Either Sanger or deep sequencing can be used to investigate resistance-associated mutations (RAMs) in HIV DNA recovered from peripheral blood. Neither technique is free of limitations. Furthermore, evidence regarding the establishment, maintenance, expression and clinical significance of archived drug-resistant variants is conflicting. This in part reflects the complexity of the HIV proviral landscape and its dynamics during therapy. Clinically, detection of RAMs in cellular HIV DNA has a variable impact on treatment outcomes, modulated by the drugs affected, treatment duration and additional determinants of virological failure, including those leading to suboptimal drug exposure. CONCLUSIONS: Sequencing cellular HIV DNA can provide helpful complementary information in treatment-experienced patients with suppressed plasma HIV RNA who require a change of regimen. However, care should be taken when interpreting the results. Presence of RAMs is not necessarily a barrier to treatment success. Conversely, even the most sensitive sequencing techniques will fail to provide a comprehensive view of the HIV DNA archive. To inform treatment decisions appropriately, the overall clinical and treatment history of a patient must always be considered alongside the results of resistance testing. Prospective controlled studies are needed to validate the utility of drug resistance testing using cellular HIV DNA.
Authors: Bonnie Hiener; Bethany A Horsburgh; John-Sebastian Eden; Kirston Barton; Timothy E Schlub; Eunok Lee; Susanne von Stockenstrom; Lina Odevall; Jeffrey M Milush; Teri Liegler; Elizabeth Sinclair; Rebecca Hoh; Eli A Boritz; Daniel Douek; Rémi Fromentin; Nicolas Chomont; Steven G Deeks; Frederick M Hecht; Sarah Palmer Journal: Cell Rep Date: 2017-10-17 Impact factor: 9.423
Authors: Nicolas Chomont; Mohamed El-Far; Petronela Ancuta; Lydie Trautmann; Francesco A Procopio; Bader Yassine-Diab; Geneviève Boucher; Mohamed-Rachid Boulassel; Georges Ghattas; Jason M Brenchley; Timothy W Schacker; Brenna J Hill; Daniel C Douek; Jean-Pierre Routy; Elias K Haddad; Rafick-Pierre Sékaly Journal: Nat Med Date: 2009-06-21 Impact factor: 53.440
Authors: Peter K Cheung; Aniqa Shahid; Winnie Dong; Katherine J Lepik; Julio S G Montaner; Mark A Brockman; Zabrina L Brumme; Chanson J Brumme Journal: J Antimicrob Chemother Date: 2022-03-31 Impact factor: 5.790
Authors: Marilia Rita Pinzone; D Jake VanBelzen; Sam Weissman; Maria Paola Bertuccio; LaMont Cannon; Emmanuele Venanzi-Rullo; Stephen Migueles; R Brad Jones; Talia Mota; Sarah B Joseph; Kevin Groen; Alexander O Pasternak; Wei-Ting Hwang; Brad Sherman; Anastasios Vourekas; Giuseppe Nunnari; Una O'Doherty Journal: Nat Commun Date: 2019-02-13 Impact factor: 14.919
Authors: Megan Wind-Rotolo; Christine Durand; Lisa Cranmer; Alison Reid; Neil Martinson; Meg Doherty; Benjamin L Jilek; Joseph Kagaayi; Allan Kizza; Visva Pillay; Oliver Laeyendecker; Steven J Reynolds; Susan H Eshleman; Bryan Lau; Stuart C Ray; Janet D Siliciano; Thomas C Quinn; Robert F Siliciano Journal: J Infect Dis Date: 2009-05-01 Impact factor: 5.226
Authors: Alessandra Ruggiero; Ward De Spiegelaere; Alessandro Cozzi-Lepri; Maja Kiselinova; Georgios Pollakis; Apostolos Beloukas; Linos Vandekerckhove; Matthew Strain; Douglas Richman; Andrew Phillips; Anna Maria Geretti Journal: EBioMedicine Date: 2015-07-21 Impact factor: 8.143