Effectiveness of HCV core antigen and RNA quantification in HCV-infected and HCV/HIV-1-coinfected patients

Identification of a novel variant of hepatitis B virus isolated from patient co-infected with hepatitis C virus

Hepatitis B virus (HBV) is a major public health concern worldwide. Co-infection of hepatitis B patients with other pathogens intensifies the severity of the disease. We report a novel variant of hepatitis B virus (HBV) in Bangladesh isolated from a patient co-infected with hepatitis C virus (HCV) who exhibited liver cirrhosis. From 150 collected plasma samples, we sequenced HBV complete genome from one HBV-HCV co-infected patient. The complete genome was analysed using bioinformatics tools, NCBI BLAST, Geno2Pheno, and SnapGene software. The strain belongs to genotype A and subgenotype A1. Upon analysing the complete genome of this strain, we found a frameshift deletion of 54 nucleotides at the pre-S2 region, a functional regulator of HBV surface protein. Furthermore, we observed a Y126H mutation in the polymerase protein of this strain. This is the first report with such an unusual pre-S deletion event of the HBV genome in an HCV-co-infected patient associated with liver cirrhosis. These findings may inform scientists about genomic modifications in the HBV genome associated with HCV co-infection.

Performance of HCV Antigen Testing for the Diagnosis and Monitoring of Antiviral Treatment: A Systematic Review and Meta-Analysis

BACKGROUND AND AIMS

Active hepatitis C virus (HCV) infection is based on the detection of HCV RNA that it is effective but presents high cost and the need to hire trained personnel. This systematic review and meta-analysis is aimed at evaluating the diagnostic accuracy of HCV Ag testing to identify HCV cases and to monitor antiviral treatment including DAA treatment.

METHODS

The studies were identified through a search in PubMed, Lilacs, and Scopus from 1990 through March 31, 2020. Cohort, cross-sectional, and randomized controlled trials were included. Two independent reviewers extracted data and assessed quality using an adapted Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Our primary outcome was to determine the accuracy of HCV Ag detection for the diagnosis, which we estimated using random-effects meta-analysis.

RESULTS

Of 3,062 articles identified, 54 met our eligibility criteria. The studies described cohorts from 20 countries, including 14,286 individuals with chronic HCV individuals. Studies for ECLIA technology demonstrated highest quality compared to studies that used ELISA. The pooled sensitivity and specificity (95% CI) for HCV Ag detection of active HCV infection were 98.82% (95%CI = 98.04%; 99.30%) and 98.95% (95%CI = 97.84%; 99.49%), respectively. High concordance was found between HCV Ag testing and HCV RNA detection 89.7% and 95% to evaluate antiviral treatment.

CONCLUSIONS

According to our findings, HCV Ag testing could be useful to identify HCV active cases in low-resource areas. For antiviral treatment, HCV Ag testing will be useful at the end of treatment.

Evaluating a novel, highly sensitive, and quantitative reagent for detecting SARS-CoV-2 antigen

INTRODUCTION

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is rapidly spreading all over the world. A new quantifying reagent for detecting SARS-CoV-2 antigen was developed for early and accurate detection. We evaluated the novel quantitative reagent for detecting SARS-CoV-2 antigen using an automated laboratory device.

METHODS

One-hundred nasopharyngeal samples were collected from 47 SARS-CoV-2-infected patients, and 200 samples were collected from healthy donners. We measured the SARS-CoV-2 antigen and nucleic acid using Lumipulse Presto SARS-CoV-2 Ag and the 2019 Novel Coronavirus Detection Kit, respectively.

RESULTS

The sensitivity and specificity of the SARS-CoV-2 antigen test were 75.7% (56/74) and 96.0% (192/200), respectively. The concordance rate in the positive group between the antigen and nucleic acid tests was 66% (66/100). In addition, the correlation coefficient between the concentration of SARS-CoV-2 antigen and the level of SARS-CoV-2 RNA was 0.74. There were 19 discrepant samples in which SARS-CoV-2 RNA was detected without SARS-CoV-2 antigen. There was significant difference between the discrepant and matched samples in terms of the time since symptom onset: the 19 discrepant samples were collected a median of 33 days after onset, while the 55 matched samples were collected a median of 19 days after onset. In addition, the 19 discrepant samples were collected from patients who were immune against SARS-CoV-2.

CONCLUSIONS

This novel SARS-CoV-2 antigen detection assay is highly sensitive, rapid, accurate, easily diagnostic. It may be useful in both clinical diagnosis and in screening because it does not require special methods such as PCR.

HCV Ag quantification as a one-step procedure in diagnosing chronic hepatitis C infection in Cameroon: the ANRS 12336 study

INTRODUCTION

The diagnostic procedure for chronic hepatitis C infection (CHC) usually combines anti-HCV antibody (HCV-Ab) and HCV-RNA measurement. Quantifying HCV core antigen (cAg) as a one-step procedure could shorten the diagnostic process. We aimed to assess the performance of cAg quantification in diagnosing CHC and how it is influenced by concomitant HIV or HBV infections.

METHODS

The cAg was quantified by an automated assay (Abbott Diagnostics) in 465 HCV-Ab negative serum samples and 544 HCV-RNA positive serum samples (n = 1009) collected in patients from the Pasteur Center in Cameroon, some of whom were infected by HBV or HIV. Its performance was evaluated in comparison to the gold standard (ELISA or PCR) by estimating its sensitivity (Se) and specificity (Sp), and by comparing the area under ROC (AUROC) curves in each patient population: HCV mono-infected, HCV-HBV and HIV-HCV co-infected.

RESULTS

Among the 465 HCV-Ab negative patients, 51 and 79 were HIV- and HBV-infected, respectively, whereas among the 544 patients with CHC, 27 and 28 were HIV- and HBV-infected, respectively. The Spearman ρ correlation coefficient between cAg and HCV-RNA was 0.75 (p < 0.00001). The assay had a sensitivity of 95.7% (95% CI: 93.2-97.5) and a specificity of 99.7% (95% CI: 98.1-10) in diagnosing CHC, corresponding to an AUROC of 0.99 (95% CI: 0.98-1.0). Being HIV- or HBV-infected did not impact the performance of cAg (Se = 96.4%, Sp = 96.2% and AUROC = 0.98 (95% CI: 0.95-1.0) in the HBV group, Se = 100%, Sp = 88.2% and AUROC = 0.99 (95% CI: 0.97-1.0) in the HIV group, p between AUROC = 0.69).

CONCLUSIONS

The cAg quantification displayed a high specificity and sensitivity for the diagnosis of CHC in Cameroon, and its performance was not significantly modified by a concomitant HIV or HBV infection. In the context of CHC elimination on a global scale, using cAg quantification as a screening tool to directly identify CHC could be a reliable tool in a "test and treat" strategy.

Increased expression and dysregulated association of restriction factors and type I interferon in HIV, HCV mono- and co-infected patients

Host restriction factors and type I interferon are important in limiting HIV and HCV infections, yet the role of HIV, HCV mono- and co-infection in regulating these antiviral genes expression is not clear. In this study, we measured the levels of TRIM5α, TRIM22, APOBEC3G, and IFN-α, -β mRNA expression in peripheral blood mononuclear cells of 43 HIV mono-infected, 70 HCV mono-infected and 64 HIV/HCV co-infected patients along with 98 healthy controls. We also quantified HIV and HCV viral loads in mono- and co-infected patients. The results showed that HCV, HIV mono- and co-infection differentially increased TRIM22, APOBEC3G, and IFN-α, -β mRNA expression while the mRNA expression of TRIMα was upregulated only by HCV-mono infection. HIV/HCV co-infection was associated with higher viral load, compared to either HIV or HCV mono-infection. Additionally, we showed TRIMα and TRIM22 positively correlated with IFN-α, -β, which could be dysregulated by HIV, HCV mono- and co-infection. Furthermore, we found TRIM22 negatively correlated with HCV viral load in mono-infected patients and APOBEC3G positively correlated with HCV viral load in co-infected patients. Collectively, our findings suggest the potential role of restriction factors in restricting HIV, HCV mono- and co-infection in vivo, which appears to be a therapeutic target for potential drug discovery.