Hepatitis Delta virus (HDV) is a satellite of the Hepatitis B virus (HBV) and causes severe liver disease. The estimated prevalence of 15–20 million infected people worldwide may be underestimated as international diagnostic guidelines are not routinely followed. Possible reasons for this include the limited awareness among healthcare providers, the requirement for costly equipment and specialized training, and a lack of access to reliable tests in regions with poor medical infrastructure. In this study, we developed an HDV rapid test for the detection of antibodies against the hepatitis delta antigen (anti-HDV) in serum and plasma. The test is based on a novel recombinant large hepatitis delta antigen that can detect anti-HDV in a concentration-dependent manner with pan-genotypic activity across all known HDV genotypes. We evaluated the performance of this test on a cohort of 474 patient samples and found that it has a sensitivity of 94.6% (314/332) and a specificity of 100% (142/142) when compared to a diagnostic gold-standard ELISA. It also works robustly for a broad range of anti-HDV titers. We anticipate this novel HDV rapid test to be an important tool for epidemiological studies and clinical diagnostics, especially in regions that currently lack access to reliable HDV testing.

Human hepatitis delta virus (HDV) is a small defective RNA satellite virus that requires hepatitis B virus (HBV) envelope proteins to form its own virions. The HDV genome possesses a single coding open reading frame (ORF), located on a replicative intermediate, the antigenome, encoding the small (s) and the large (L) isoforms of the delta antigen (s-HDAg and L-HDAg). The latter is produced following an editing process, changing the amber/stop codon on the s-HDAg-ORF into a tryptophan codon, allowing L-HDAg synthesis by the addition of 19 (or 20) C-terminal amino acids. The two delta proteins play different roles in the viral cell cycle: s-HDAg activates genome replication, while L-HDAg blocks replication and favors virion morphogenesis and propagation. L-HDAg has also been involved in HDV pathogenicity. Understanding the kinetics of viral editing rates in vivo is key to unravel the biology of the virus and understand its spread and natural history. We developed and validated a new assay based on next-generation sequencing and aimed at quantifying HDV RNA editing in plasma. We analyzed plasma samples from 219 patients infected with different HDV genotypes and showed that HDV editing capacity strongly depends on the genotype of the strain.

Hepatitis delta virus (HDV) is a satellite of hepatitis B virus (HBV), which requires the HBV surface antigen (HBsAg) for its assembly and propagation. Although countries affected by HBV infection in Africa are well identified, data on HDV infection are still scarce, like in Nigeria, where HBV infection is endemic. In this study, we aimed to determine the prevalence of HDV infection and identify the circulating genotypes/strains in the country. A nationwide study was performed on 1281 HBsAg-positive samples collected from patients across eleven sites drawn from the six geopolitical zones in Nigeria. Anti-HDV antibody (HDV-Ab) screening and HDV-RNA viral load quantification were performed using a commercial ELISA assay and real-time RT-PCR kit, respectively. HDV genotyping was performed by the Sanger sequencing of amplicons from the so-called R0 region of the viral genome, followed by phylogenetic analyses. Of the 1281 HBsAg-positive samples, 61 (4.8%) were HDV-Ab positive, among which, 12 (19.7%) were HDV-RNA positive. Genotypes were obtained for nine of them: seven “African” HDV-1, one “Asian/European” HDV-1 and one HDV-6. This study shows that Nigeria is a country of low HDV prevalence where mainly “African” genotype-1 strains are circulating.

Background: Panzi General Reference Hospital (HGR Panzi) in the Democratic Republic of Congo follows a large number of patients living with HIV-1 (PLWHIV). Although antiretrovirals (ARVs) are available, HIV-1 viral load (HIV-VL) measurement has only been implemented in the hospital since 2018. No data on ARV resistance levels and ARV dosage in plasma have yet been published for this region. We determined the prevalence of virological failure due to ARV resistance amongst patients and assessed the degree of genotypic resistance of the viral strains. Methods: We performed an HIV-VL test and determined dosage of ARVs on samples collected from 205 PLWHIV at HGR Panzi between 2017 and 2018, including 13 ARV-naive patients. Genotypic resistance testing was performed on all samples with detectable HIV-VLs, and interpreted with the Agence Nationale de Recherches sur le Sida (ANRS) 2018 algorithm. Results: Baseline resistance to NNRTIs was found in 2 of the 13 treatment-naive individuals (15%). ARV dosage was non-optimal for 44/192 of treated patients (22.9%), with an HIV-VL ≥1000 IU/mL for 40/192 (20.8%) of them. In particular, treatment-experienced viruses presented resistance to at least one NRTI (52.5%), to at least one NNRTIs (70%) or to at least one PIs (15%). Finally, two samples contained viruses with resistance polymorphism in the integrase gene. Conclusions: The high level of resistance to ARVs observed during this study, mainly due to treatment compliance default, fully justifies the implementation of means for closer patient monitoring. The provision of VL tests and therapeutic education management tools in a PLWHIV follow-up remains an absolute necessity to best adapt the current treatment lines in this region.

Evidence that Hepatitis D virus (HDV) genotype is involved in HDV infection pathogenesis is increasing. Indeed, HDV genotypes have been shown to be linked to different outcomes in terms of liver fibrosis and treatment response. Herein, we show that the promising HDVdb genotyping tool available online can lead to wrong genotyping results. The current HDVdb algorithm should be carefully considered as a “beta-version” and warrants algorithm core corrections, as soon as possible, for an optimal and beneficial use.