Profiles of mutations in hepatitis B virus surface and polymerase genes isolated from treatment-naïve Nigerians infected with genotype E
Bibliographic record
Abstract
Introduction. Hepatitis B virus (HBV) infection is the leading cause of hepatitis, liver cirrhosis, and hepatocellular carcinoma (HCC). HBV genotype E (HBV/E) is the predominant genotype in West Africa and has been linked epidemiologically with chronic and occult HBV infections as well as development of HCC. Mutations in the surface and polymerase genes of HBV have been associated with occult infection, drug resistance, vaccine escape, as well as HCC. Hypothesis/Gap Statement. There is limited data on the occurrence and patterns of mutations associated with occult infection, drug resistance, vaccine escape and HCC for HBV/E. Aim. This study characterized amino acid (aa) substitutions in the major hydrophilic (MHR) and reverse transcriptase (RT) regions of the surface and polymerase genes respectively of HBV sequences from a group of Nigerians with genotype E infection. The CpG islands of the PreC/C and PreS/S regions of these sequences were also described. Methodology. HBV surface and polymerase genes were detected using PCR techniques. Occurrence of new and previously described mutations in these genes were analysed using phylogenetic techniques. Results. Overall 13 HBV isolates were each sequenced for polymerase and surface genes mutations. Thirteen and nine PreS/S and PreC/C HBV genes respectively were analysed for CpG islands. Mutations in the MHR and a-determinants region of the S protein were discovered in eleven and nine of the 13 tested isolates respectively. These mutations were concomitant with aa changes in the RT functional domains of the isolates. Mutations associated with vaccine escape, occult infection and poor HCC prognosis were identified in HBV/E isolated in this study. Furthermore, all the isolates had at least one putative nucleotide analogue resistance mutations. Drug resistance mutations had the highest association with CpG islands. Conclusion. The results of this study contribute to further understanding of HBV variability in Nigeria and the West African region. This will aid the planning of adequate HBV immunization and treatment programmes for the countries in the region.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".