Despite the implementation of various vaccination programs, hepatitis B virus (HBV) poses a considerable health problem in Saudi Arabia. Insight on HBV evolutionary history in the region is limited. We performed a comprehensive epidemiological and phylogenetic reconstruction based on a large cohort of HBV infected patients. Three hundred and nineteen HBV-infected patients with different clinical manifestations, including inactive and active chronic carriers and patients with cirrhosis and hepatocellular carcinoma (HCC), were enrolled in this study. The full-length large S gene was amplified and sequenced. Phylogenetic analysis was performed to determine the genotype and subgenotypes of the isolates. Phylogenetic tree analysis revealed that genotype D is the most dominant genotype among patients. Moreover, this analysis identified two strains with genotype E isolated from active carriers. Detailed phylogenetic analyses confirmed the presence of four HBV D subgenotypes, D1 (93%, n = 296), D2 (0.02%, n = 5), D3 (0.003%, n = 1), and D4 (0.003%, n = 1). In addition, six genotype D strains were not assigned to any existing HBV D subgenotype. The large S gene of eight strains showed signatures of genotype recombination between the genotypes D and A and between D and E. Several strains harbored medically important point mutations at the protein level. Along with the dominance of the HBV genotype D, isolation of the E genotype and several recombinant strains from patients with Saudi Arabian origin is an essential result for decisions involving therapeutic measures for patients. Development of vaccines and detection of diagnostic escape mutations at antigenic epitopes on the HBsAg will be valuable to public health authorities. Furthermore, the diversity at the nucleotide and amino acid levels and different proportions of dN/dS at the PreS1, PreS2, and HBsAg reveal the selective pressure trend from inactive status towards advanced liver diseases.
In the lack of an effective vaccine and antiviral treatment, convalescent plasma (CP) has been a promising therapeutic approach in past pandemics. Accumulating evidence in the current severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic corroborates the safety of CP therapy and preliminary data underline the potential efficacy. Recently, the Food and Drug Administration (FDA) permitted CP therapy for coronavirus disease 2019 (COVID-19) patients under the emergency use authorization, albeit additional clinical studies are still needed. The imminent threat of a second or even multiple waves of COVID-19 has compelled health authorities to delineate and calibrate a feasible preparedness algorithm for deploying CP as an immediate therapeutic intervention. The success of preparedness programs depends on the interdisciplinary actions of multiple actors in politics, science, and healthcare. In this review, we evaluate the current status of CP therapy for COVID-19 patients and address the challenges that confront the implementation of CP. Finally, we propose a pandemic preparedness framework for future waves of the COVID-19 pandemic and unknown pathogen outbreaks.
1 April 2020 in International Journal of Infectious Diseases
Hepatitis B virus (HBV) is a public health threatening virus and is classified into more than eight genotypes and more than forty subgenotypes. To characterize and propose novel strains assigned as A8 and D12. Four out of 133 HBV complete genome sequences, isolated from Belgian chronic carriers with African origin were phylogenetically analyzed. Phylogenetic analyses of HBV genotypes A and D strains exhibited separate clusters supported by significant bootstrap values. The two genotype A strains isolated from Congolese patients, and two genotype D strains isolated from Ghanaian carriers clustered separately from the other known subgenotypes A (A1-A6 and quasi-subgenotypes) and subgenotypes D (D1-D11). The mean inter-subgenotypic nucleotide divergence over the full-length genome sequence between the novel strains (A8 and D12) and A1-A7 and D1-D11 subgenotypes was higher than 4%. Phylogenetic analysis of the full-length HBV genome sequences revealed a novel subgenotype and quasi-subgenotype based on the nucleotide divergence and identification of novel amino acids motifs in different ORFs. We identified two strains of the novel subgenotype A8 and two strains of the novel quasi-subgenotype D12. Notably, the analysis demonstrated that the subgenotype A8 strains are a basal lineage that diverged before the other African subgenotypes A.
Anelloviruses have been linked with host-immunocompetence and inflammation. Here, we studied the anellovirus load in hospitalized COVID-19 patients. We collected samples of patients recruited in the DAWN-Plasma trial that received convalescent plasma (CP) therapy (four plasma units) combined with standard of care (SOC) or SOC of alone. Plasma samples were collected on day 0 and 6 of hospitalization and we quantified anellovirus load. With multivariate models, clinical variables were associated with changes in anellovirus load. Samples were collected on day 0 and 6 of 150 patients (103 CP + SOC and 47 SOC). Anellovirus load was higher on day 0 compared to day 6 and we found a significant drop in SOC patients. Patients receiving immunosuppressive drug had a lower anellovirus load (coefficient: 1.021, 95% confidence interval [CI] 0.270-1.772, P = 0.008), while patients admitted to the emergency room displayed a higher abundance on day 0 (1.308, 95% CI 0.443-2.173, P = 0.003). Unspecific markers of inflammation and organ damage, D-dimer (0.001, 95% CI <0.001-0.001, P = 0.001) and lactate dehydrogenase (0.002, 95% CI 0.001-0.004, P = 0.044), were positively associated with anellovirus load. Finally, anellovirus load on day 0 (–39.9, 95% CI –75.72 to –4.27, P = 0.029) was negatively associated with SARS-CoV-2 antibody response on day. The results showed associations between clinical variables and anellovirus load in COVID-19 patients. Many variables share properties related to host immunocompetence or inflammation. Therefore, we expect that anellovirus abundance displays the net state of immune activation.