HIV-1 resistance genotyping by ultra-deep sequencing and 6-month virological response to first-line treatment.

OBJECTIVES: To evaluate the routine use of the Sentosa ultra-deep sequencing (UDS) system for HIV-1 polymerase resistance genotyping in treatment-naïve individuals and to analyse the virological response (VR) to first-line antiretroviral treatment. METHODS: HIV drug resistance was determined on 237 consecutive samples from treatment-naïve individuals using the Sentosa UDS platform with two mutation detection thresholds (3% and 20%). VR was defined as a plasma HIV-1 virus load <50 copies/mL after 6 months of treatment. RESULTS: Resistance to at least one antiretroviral drug with a mutation threshold of 3% was identified in 29% and 16% of samples according to ANRS and Stanford algorithms, respectively. The ANRS algorithm also revealed reduced susceptibility to at least one protease inhibitor (PI) in 14.3% of samples, to one reverse transcriptase inhibitor in 12.7%, and to one integrase inhibitor (INSTI) in 5.1%. For a mutation threshold of 20%, resistance was identified in 24% and 13% of samples according to ANRS and Stanford algorithms, respectively. The 6 months VR was 87% and was similar in the 58% of patients given INSTI-based treatment, in the 16% given PI-based treatment and in the 9% given NNRTI-based treatment. Multivariate analysis indicated that the VR was correlated with the baseline HIV virus load and resistance to at least one PI at both 3% and 20% mutation detection thresholds (ANRS algorithm). CONCLUSIONS: The Vela UDS platform is appropriate for determining antiretroviral resistance in patients on a first-line antiretroviral treatment. Further studies are needed on the use of UDS for therapeutic management.

SARS-CoV-2 Co-Infections and Recombinations Identified by Long-Read Single-Molecule Real-Time Sequencing.

Co-infection with at least 2 strains of virus is the prerequisite for recombination, one of the means of genetic diversification. Little is known about the prevalence of these events in SARS-CoV-2, partly because it is difficult to detect them. We used long-read PacBio single-molecule real-time (SMRT) sequencing technology to sequence whole genomes and targeted regions for haplotyping. We identified 17 co-infections with SARS-CoV-2 strains belonging to different clades in 6829 samples sequenced between January and October, 2022 (prevalence 0.25%). There were 3 Delta/Omicron co-infections and 14 Omicron/Omicron co-infections (4 cases of 21K/21L, 1 case of 21L/22A, 2 cases of 21L/22B, 4 cases of 22A/22B, 2 cases of 22B/22C and 1 case of 22B/22E). Four of these patients (24%) also harbored recombinant minor haplotypes, including one with a recombinant virus that was selected in the viral quasispecies over the course of his chronic infection. While co-infections remain rare among SARS-CoV-2-infected individuals, long-read SMRT sequencing is a useful tool for detecting them as well as recombinant events, providing the basis for assessing their clinical impact, and a precise indicator of epidemic evolution. IMPORTANCE SARS-CoV-2 variants have been responsible for the successive waves of infection over the 3 years of pandemic. While co-infection followed by recombination is one driver of virus evolution, there have been few reports of co-infections, mainly between Delta and Omicron variants or between the first 2 Omicron variants 21K_BA.1 and 21L_BA.2. The 17 co-infections we detected during 2022 included cases with the recent clades of Omicron 22A, 22B, 22C, and 22E; 24% harbored recombinant variants. This study shows that long-read SMRT sequencing is well suited to SARS-CoV-2 genomic surveillance.

Performance evaluation of the Vela Dx Sentosa next-generation sequencing system for HIV-1 DNA genotypic resistance.

BACKGROUND: Patients on antiretroviral therapy could benefit from HIV-1 DNA resistance genotyping for exploring virological failure with low viral load or to guide treatment simplification. Few new generation sequencing data are available. OBJECTIVE: To check that the automated deep sequencing Sentosa platform (Vela DX) detected minority resistant variants well enough for HIV DNA genotyping. STUDY DESIGN: We evaluated the Sentosa SQ HIV genotyping assay with automated extraction on 40 DNA longitudinal samples from treatment-experienced patients by comparison with Sanger sequencing. HIV drug resistance was interpreted using the ANRS algorithm (v29) at the threshold of 20 % and 3 %. RESULTS: The Sentosa SQ HIV genotyping assay was 100 % successful to amplify and sequence PR and RT and 86 % to amplify and sequence IN when the HIV DNA load was >2.5 log copies/million cells. The Sentosa and Sanger sequencing were concordant for predicting PR-RT resistance at the threshold of 20 % in 14/18 samples successfully sequenced. A higher level of resistance was predicted by Sentosa in three samples and by Sanger in one sample. The prevalence of resistance was 7 % to PI, 59 % to NRTI, 31 % to NNRTI and 20 % to integrase inhibitors using the Sentosa SQ genotyping assay at the threshold of 3 %. Seven additional mutations <20 % were detected using the Sentosa assay. CONCLUSION: Automated DNA extraction and sequencing using the Sentosa SQ HIV genotyping assay accurately predicted HIV DNA drug resistance by comparison with Sanger. Prospective studies are needed to evaluate the clinical interest of HIV DNA genotyping.

Classification of the Zoonotic Hepatitis E Virus Genotype 3 Into Distinct Subgenotypes.

Hepatitis E virus (HEV) genotype 3 is the most common genotype linked to HEV infections in Europe and America. Three major clades (HEV-3.1, HEV-3.2, and HEV-3.3) have been identified but the overlaps between intra-subtype and inter-subtype p-distances make subtype classification inconsistent. Reference sequences have been proposed to facilitate communication between researchers and new putative subtypes have been identified recently. We have used the full or near full-length HEV-3 genome sequences available in the Genbank database (April 2020; n = 503) and distance analyses of clades HEV-3.1 and HEV-3.2 to determine a p-distance cut-off (0.093 nt substitutions/site) in order to define subtypes. This could help to harmonize HEV-3 genotyping, facilitate molecular epidemiology studies and investigations of the biological and clinical differences between HEV-3 subtypes.

Performance of the Xpert HBV Viral Load assay versus the Aptima Quant assay for quantifying hepatitis B virus DNA.

Quantification of HBV DNA is used for initiating and monitoring antiviral treatment. We have evaluated the Xpert HBV Viral Load (VL) assay on the GeneXpert instrument. We estimated its limit of detection to be 7.5 IU/mL. Reproducibility was 1.1-12.7% as assessed by the coefficients of variation for 3 different samples. The assay was linear from 2 to 8 log10 IU/mL for HBV genotypes A to F. Its clinical performance was evaluated by testing prospectively 100 HBV DNA-positive samples with the Xpert HBV VL and Aptima Quant HBV assays. The results from the 2 assays were correlated, with a modest bias (-0.10 log10 IU/mL) between them by Bland-Altman analysis. Patient monitoring with 80 samples performed with both assays gave similar patient profiles with trends in the same direction. The Xpert HBV Viral load assay is reliable enough for quantifying HBV DNA in clinical practice.

Assessment of HIV-1 subtyping for Cameroon strains using phylogenetic analysis of pol gene sequences.

Phylogenetic analysis of human immunodeficiency virus type 1 (HIV-1) pol gene is a useful method for subtyping European strains of HIV-1. The suitability of this method for genetically diverse African strains was evaluated by comparing HIV-1 subtyping of Cameroon strains using a long fragment of the pol gene sequence to the findings obtained using env gene sequences. When the pol gene could not be amplified, the reverse transcriptase (RT) or the protease (PR) genes were used. Phylogenetic analysis of the env C2/V3 gene sequences of 60 HIV-1 isolates showed 52 to be subtype A, 2 subtype G, plus one each of subtypes C, F2 and H, with 3 subtypes not determined. A long fragment of the pol gene was amplified successfully and sequenced in 23% of cases. The RT region was amplified for 42% of the samples that could not be typed by analysing the long fragment, and the PR gene was amplified for 40% of them. Thus, 63% of samples were typable. Env and pol gene subtypings were in agreement in 86% of cases. It is concluded that the phylogenetic analysis of pol gene sequences is not a practical method for HIV-1 subtyping in areas of high subtype diversity, despite the good agreement between the env and pol gene subtypings. However, it can be a useful method for HIV-1 subtyping, provided that the gene is amplifiable.