Genomic analysis of circulating HIV and hepatitis C virus infections and coinfections in Cameroon: 2005–2006 and 2015–2016
Bibliographic record
Abstract
Introduction In humans, RNA viruses are responsible for a wide range of acute, chronic, emerging and re-emerging infections. Human Immunodeficiency virus (HIV) and hepatitis C virus (HCV) rank as some of the most important public health challenges affecting Africa. Methods We performed enzyme-linked immune-sorbent assays to confirm positive specimens, and the genomic characterization on two cohorts of people living with HIV in Douala and Yaoundé for the periods 2005-2006 and 2015-2016. These groups were tested for co-infection with HCV using the enzyme-linked immunosorbent assays. Viral RNA was extracted from positive patients’ plasma samples by QIAGEN method, and specific primers were used to amplify the genes of interest on HIV and HCV genomes. The amplification products were subsequently cloned and sequenced. The nucleotide sequences were aligned, genotyped and phylogenetically analyzed. Results The HIV isolate identified in this study belongs to HIV-1 group M Subtype A1. The HCV subtypes characterized in this study are 1h and 4t corresponding to the dominant strains that circulate in Cameroon. Phylogenetic analysis of the HCV NS5B gene showed that the study viruses cluster with Gabonese, Canadian, and previously sequenced viruses from Cameroon. Conclusion and perspectives These results shed light on the genetic diversity of HIV and HCV in Cameroon. Virulent HCV infections are common in Cameroon, and therefore there is a great need for further analysis of the viral evolutionary and spatio-temporal patterns.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".