Rates of Infection and Phylogenetic Analysis of GB Virus-C among Kuwaiti and Jordanian Blood Donors
Bibliographic record
Abstract
OBJECTIVES: GB virus-C/hepatitis G virus (GBV-C/HGV), collectively known as GBV-C, has been reported to be associated with non-A-E hepatitis. The aim of this study was to determine the rate of infection and genotypic characteristics of GBV-C among Kuwaiti and Jordanian blood donors. METHODS: A total of 334 plasma/serum samples from healthy blood donors in Kuwait (n = 130) and Jordan (n = 204) were screened using RT-PCR/nested PCR of the 5'-untranslated region (5'-UTR). Phylogenetic analysis was conducted by sequencing the 5'-UTR region of the randomly picked clones representative of the two populations. RESULTS: The results obtained showed that the rate of GBV-C infection in healthy Kuwaiti and Jordanian blood donors was 24.6 and 9.8%, respectively. Sequence analysis of the 5'-UTR using 4 and 6 clones from healthy Kuwaiti and Jordanian blood donors, respectively, revealed the prevalence of the European/North American genotype 2 when compared to the 6 reference genotypes in GenBank. CONCLUSION: GBV-C/HGV was detectable at rates relatively comparable with other regions in the world in Kuwaiti and Jordanian blood donors, although the significance of which remains controversial. More interesting is the dominance of GBV-C genotype 2 among the two populations, which remains to be explained.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".