Patricia Alvarez1, Leticia Martín1, Luis Prieto2, Jacinta Obiang3, Antonio Vargas4, Pedro Avedillo4, Pablo Rojo5, Carolina Fernández McPhee1, Agustín Benito4, José Tomás Ramos6, África Holguín7. 1. HIV-1 Molecular Epidemiology Laboratory, Microbiology and Parasitology Department Hospital Universitario Ramón y Cajal, IRYCIS and CIBERESP, Madrid, Spain. 2. Hospital Universitario de Getafe, Madrid, Spain. 3. Hospital Provincial de Bata, Ministerio de Sanidad y Bienestar Social, Equatorial Guinea. 4. Centro Nacional de Medicina Tropical, Instituto de Salud Carlos III-Madrid, RICET, Spain. 5. Hospital Universitario Doce de Octubre, Madrid, Spain. 6. Hospital Universitario Clínico San Carlos, Madrid, Spain. 7. HIV-1 Molecular Epidemiology Laboratory, Microbiology and Parasitology Department Hospital Universitario Ramón y Cajal, IRYCIS and CIBERESP, Madrid, Spain. Electronic address: africa.holguin@salud.madrid.org.
Abstract
OBJECTIVES: Viral load (VL) testing is used for early HIV diagnosis in infants (EID) and for detecting early therapeutic failure events, but can be affected by HIV genetic variability. Dried blood samples (DBS) increase VL access and EID in remote settings and when low blood volume is available. METHODS: This study compares VL values using Siemens VERSANT HIV-1 RNA 1.0 kPCR assay (kPCR) and Roche CAP/CTM Quantitative test v2.0 (CAP/CTM v2.0) in 176 DBS carrying different HIV-1 variants collected from 69 Equatoguinean mothers and their infants with known HIV-1 status (71 infected, 105 uninfected). RESULTS: CAP/CTM v2.0 provided false positive VLs in 11 (10.5%) cases. VL differences above 0.5 log10 were observed in 42/49 (87.5%) DBS, and were above 1 log10 in 18 cases. CAP/CTM v2.0 quantified all the 41 specimens with previously inferred HIV-1 variant by phylogenetic analysis (68.3% recombinants) whereas kPCR only identified 90.2% of them, and was unable to detect 14.3% of 21 CRF02_AG viruses. CAP/CTM v2.0 showed higher sensitivity than kPCR (95.8% vs. 70.1%), quantifying a higher rate of viruses in infected DBS from subjects under antiretroviral exposure at sampling time compared to kPCR (94.7% vs. 96.2%, p-value<0.001). kPCR showed maximum specificity (100%) whereas for CAP/CTM v2.0 was 89.5%. CONCLUSIONS: VL assays should increase their sensitivity and specificity to avoid overestimated HIV-1 quantifications, which could be interpreted as virological failure events, or false negative diagnostic results due to genetic variability. We recommend using the same VL technique for each patient during antiretroviral therapy monitoring.
OBJECTIVES: Viral load (VL) testing is used for early HIV diagnosis in infants (EID) and for detecting early therapeutic failure events, but can be affected by HIV genetic variability. Dried blood samples (DBS) increase VL access and EID in remote settings and when low blood volume is available. METHODS: This study compares VL values using Siemens VERSANT HIV-1 RNA 1.0 kPCR assay (kPCR) and Roche CAP/CTM Quantitative test v2.0 (CAP/CTM v2.0) in 176 DBS carrying different HIV-1 variants collected from 69 Equatoguinean mothers and their infants with known HIV-1 status (71 infected, 105 uninfected). RESULTS: CAP/CTM v2.0 provided false positive VLs in 11 (10.5%) cases. VL differences above 0.5 log10 were observed in 42/49 (87.5%) DBS, and were above 1 log10 in 18 cases. CAP/CTM v2.0 quantified all the 41 specimens with previously inferred HIV-1 variant by phylogenetic analysis (68.3% recombinants) whereas kPCR only identified 90.2% of them, and was unable to detect 14.3% of 21 CRF02_AG viruses. CAP/CTM v2.0 showed higher sensitivity than kPCR (95.8% vs. 70.1%), quantifying a higher rate of viruses in infected DBS from subjects under antiretroviral exposure at sampling time compared to kPCR (94.7% vs. 96.2%, p-value<0.001). kPCR showed maximum specificity (100%) whereas for CAP/CTM v2.0 was 89.5%. CONCLUSIONS: VL assays should increase their sensitivity and specificity to avoid overestimated HIV-1 quantifications, which could be interpreted as virological failure events, or false negative diagnostic results due to genetic variability. We recommend using the same VL technique for each patient during antiretroviral therapy monitoring.
Authors: Bharat S Parekh; Chin-Yih Ou; Peter N Fonjungo; Mireille B Kalou; Erin Rottinghaus; Adrian Puren; Heather Alexander; Mackenzie Hurlston Cox; John N Nkengasong Journal: Clin Microbiol Rev Date: 2018-11-28 Impact factor: 26.132
Authors: Marina Rubio-Garrido; José María González-Alba; Gabriel Reina; Adolphe Ndarabu; David Barquín; Silvia Carlos; Juan Carlos Galán; África Holguín Journal: Sci Rep Date: 2020-10-28 Impact factor: 4.379