Case Report: Application of hepatitis B virus (HBV) deep sequencing to distinguish between acute and chronic infection

Hepatitis B surface antigen loss in individuals with chronic hepatitis B virus and HIV-1 infections in Botswana

OBJECTIVES

We sought to determine hepatitis B surface antigen (HBsAg) loss and its predictors among people with chronic hepatitis B (CHB) infections and HIV (PWH) in Botswana.

METHODS

Archived plasma samples from a cohort of PWH in Botswana (2013-2018) with 3 yearly time-points were used. Samples were screened for HBsAg, immunoglobulin M HBV core antibodies (anti-HBc IgM) and HBV e-antigen (HBeAg) at all time points. HBV deoxyribonucleic acid (DNA) quantification was done at baseline. The Wilcoxon rank-sum was used to compare continuous variables while the chi-squared test and Fishers exact test were used for categorical data wherever appropriate. Logistic regression was used to assess predictors of seroclearance.

RESULTS

Of 141 participants with HBsAg-positive serology (HBsAg+) at baseline, 92.2% (131/141) [95% confidence interval (CI) 87.4-96.1] were persistently HBsAg+ at year 1. We report a HBsAg loss of 7.1% (10/141) (95% CI 3.9-12.6) among participants with negative HBeAg and negative IgM serologies. HBsAg loss was 6.3% (7/111) among antiretroviral therapy (ART)-experienced participants and 10.7% (3/28) (95% CI 0.4-5.0) in ART-naive participants. Most participants who had positive anti-HBc IgM serology and did not lose HBsAg were on either lamivudine (3TC)-based therapy or non-tenofovir disoproxil fumarate (TDF)-based therapy, except for one participant. The participants also had varying HBeAg status. HBsAg loss was independent of HIV viral load, CD4 + cell count, age, and sex.

CONCLUSION

We report a HBsAg loss of 6.3% over a 3-year period among ART-experienced CHB participants. Future studies that focus on HBsAg loss in mono-infected patients and the possible correlation between HBeAg status and HBsAg loss are warranted.

High Prevalence of Hepatitis B Virus Infection Among People With HIV in Rural and Periurban Communities in Botswana

Background

We aimed to determine the prevalence of hepatitis B virus (HBV) infection among people with human immunodeficiency virus (PWH) in rural and periurban communities in Botswana.

Methods

PWH from a previous population-based study, the Botswana Prevention Combination Project, which enrolled adults in 30 communities across Botswana (2013-2018), were screened for HBV surface antigen (HBsAg) and HBV core antibody (anti-HBc). HBsAg-positive (HBsAg+) samples were further screened for HBV core immunoglobulin M antibodies (anti-HBc immunoglobulin M [IgM]) and HBV e antigen (HBeAg). We quantified HBV viral load on participants who tested positive (n = 148) and negative for HBsAg (n = 381).

Results

Of 3304 participants tested, 271 (8% [95% confidence interval {CI}, 7%-9%]) were HBsAg+ while 1788 (56% [95% CI, 54%-57%]) of 3218 PWH whom we tested had positive anti-HBc. Approximately 88% of HBsAg+ participants were on antiretroviral therapy (ART), 40% and 56% of whom were receiving lamivudine- and tenofovir-containing ART, respectively. Male sex (relative risk ratio [RRR], 1.8 [95% CI, 1.2-2.7]) and the northern geographic region (RRR, 2.5 [95% CI, 1.4-4.7]) were independent predictors of HBV infection (HBsAg+). Of 381 persons with negative HBsAg who were tested for occult HBV, 126 (33% [95% CI, 29%-38%]) had positive HBV DNA. Eleven participants were highly viremic with high HBV viral load while on a lamivudine- or tenofovir-containing regimen. Ten (91%) of these participants also had positive HBeAg serology, while 4 (36%) had positive anti-HBc IgM serology.

Conclusions

The prevalence of HBV was high among PWH in Botswana while on ART regimens with activity against HBV.

Polymorphisms predicting phylogeny in hepatitis B virus

Hepatitis B viruses (HBVs) are compact viruses with circular genomes of ∼3.2 kb in length. Four genes (HBx, Core, Surface, and Polymerase) generating seven products are encoded on overlapping reading frames. Ten HBV genotypes have been characterised (A-J), which may account for differences in transmission, outcomes of infection, and treatment response. However, HBV genotyping is rarely undertaken, and sequencing remains inaccessible in many settings. We set out to assess which amino acid (aa) sites in the HBV genome are most informative for determining genotype, using a machine learning approach based on random forest algorithms (RFA). We downloaded 5,496 genome-length HBV sequences from a public database, excluding recombinant sequences, regions with conserved indels, and genotypes I and J. Each gene was separately translated into aa, and the proteins concatenated into a single sequence (length 1,614 aa). Using RFA, we searched for aa sites predictive of genotype and assessed covariation among the sites with a mutual information-based method. We were able to discriminate confidently between genotypes A-H using ten aa sites. Half of these sites (5/10) sites were identified in Polymerase (Pol), of which 4/5 were in the spacer domain and one in reverse transcriptase. A further 4/10 sites were located in Surface protein and a single site in HBx. There were no informative sites in Core. Properties of the aa were generally not conserved between genotypes at informative sites. Among the highest co-varying pairs of sites, there were fifty-five pairs that included one of these 'top ten' sites. Overall, we have shown that RFA analysis is a powerful tool for identifying aa sites that predict the HBV lineage, with an unexpectedly high number of such sites in the spacer domain, which has conventionally been viewed as unimportant for structure or function. Our results improve ease of genotype prediction from limited regions of HBV sequences and may have future applications in understanding HBV evolution.