Geographical and chronological origin and evolution of Hepatitis C Virus.
Bibliographic record
Abstract
Abstract Hepatitis C Virus (HCV) infection is a major health problem that leads to cirrhosis and hepatocellular carcinoma. World over, more than 270-300 million people are estimated to be infected with the virus. HCV is a positive sense single stranded RNA virus and replicates within the cytoplasm of the hepatocyte using its own RNA dependent RNA polymerase (RdRp). RdRp does not have proof reading capacity, and hence generates mutants of the virus, resulting in a chronic infection, which ultimately ends in hepatocellular carcinoma. Such mutations have given rise to several genotypes, subtypes, strains and variants with significant difference in disease outcomes. The mutation rate varies among genotypes, subtypes, strains or even in different sites of the genome. Yet, the extent of heterogeneity is usually moderate, so that estimates of the time of divergence can be computed. The evolution of variants seems to be influenced by the genetic make-up and the immune response of the host and has geographical significance. Here we used phylogenetic analysis and Computational molecular dating techniques to conclude that the ancestral genotype is 7a and that it originated in Canada 363 years ago. Molecular dating was based on the fact that the rate of mutation across all evolutionary lineages is constant over time. Surprisingly, our analyses show that genotype 1d isolated from Canada5 is the most recent with an evolutionary date of just 33 years. It is evident that HCV is still an emerging virus and demographical parameters seem to have a very strong influence in its evolution. We believe that this emphasises the need for developing drugs that are customised to act against strains that evolve and become geographically endemic.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| 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; both teacher heads agree on what is shown here.
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".