Identification of Genotype 3 Hepatitis E Virus (HEV) in Serum and Fecal Samples from Pigs in Thailand and Mexico, Where Genotype 1 and 2 HEV Strains Are Prevalent in the Respective Human Populations
Bibliographic record
Abstract
Hepatitis E virus (HEV), the causative agent of hepatitis E, is an important public health concern in many developing countries. Increasing evidence indicates that hepatitis E is a zoonotic disease. There exist four major genotypes of HEV, and HEV isolates identified in samples from pigs belong to either genotype 3 or 4. Genotype 1 and 2 HEVs are found exclusively in humans. To determine whether genotype 1 and 2 HEVs also exist in pigs, a universal reverse transcription-PCR assay that is capable of detecting all four HEV genotypes was used to test for the presence of HEV RNA in serum and/or fecal samples from pigs in Thailand, where genotype 1 human HEV is prevalent, and from pigs in Mexico, where genotype 2 human HEV was epidemic. In Thailand, swine HEV RNA was detected in sera from 10/26 pigs of 2 to 4 months of age but not in sera from 50 pigs of other ages. In Mexico, swine HEV RNA was detected in 8/125 sera and 28/92 fecal samples from 2- to 4-month-old pigs. Antibodies to swine HEV were also detected in about 81% of the Mexican pigs. A total of 44 swine HEV isolates were sequenced for the open reading frame 2 gene region. Sequence analyses revealed that all swine HEV isolates identified in samples from pigs in Thailand and Mexico belong to genotype 3. Phylogenetic analyses revealed that minor branches associated with geographic origin exist among the swine HEV isolates. The results indicated that genotype 1 or 2 swine HEV does not exist in pigs from countries where the respective human HEV genotype 1 or 2 is prevalent. It is likely that only genotype 3 and 4 HEV strains have zoonotic potential.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 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".