Impact of aboriginal ethnicity on HCV core-induced IL-10 synthesis: Interaction with IL-10 gene polymorphisms
Bibliographic record
Abstract
UNLABELLED: The host immune response is a critical determinant in viral infection outcome. Epidemiological studies indicate that North American indigenous peoples are more resistant to chronic HCV infection than other populations. Due to the prominence of IL-10 in chronic HCV infection, we investigated the genetic tendency to produce IL-10 in Caucasian (CA) and First Nation (FN) populations. Peripheral blood mononuclear cells (PBMCs) from CA subjects had a greater tendency to produce IL-10 defined by allelic polymorphisms, as well as genotypes and haplotypes, at the -1082, -819, and -592 positions of the IL-10 promoter. More importantly, we directly evaluated the influence of ethnicity on the ability of HCV core protein to induce IL-10 synthesis and found significantly higher IL-10 production by PBMCs isolated from healthy CA subjects compared with FN subjects. Further examination of the underlying relationship between core-induced IL-10 with the high, intermediate, and low phenotypes at the -1082, -819, and -592 position revealed that spontaneous and core-induced IL-10 synthesis tended to interact negatively with defined polymorphisms. This was particularly evident for the FN cohort, in which the relationship was strengthened by a stronger interaction of core with the low-IL-10-producing phenotypes. As with previous studies, concanavalin A induced IL-10 synthesis from the CA cohort positively associated with defined genetic phenotypes. CONCLUSION: Cells from FN subjects had a reduced capacity to produce IL-10 in response to HCV core protein, suggesting that reduced susceptibility of FN immunity to virally induced IL-10 synthesis might contribute to epidemiological observations of enhanced HCV clearance.
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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 | 0.000 | 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) | 0.002 | 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".