Role of Interferon Gamma and Tumor Necrosis Factor–Related Apoptosis-Inducing Ligand Receptor 1 Single Nucleotide Polymorphism in Natural Clearance and Treatment Response of HCV Infection
Bibliographic record
Abstract
Hepatitis C virus (HCV) pathogenesis and treatment outcomes are multifactorial phenomena involving both viral and host factors. This study was designed to determine the role of tumor necrosis factor-related apoptosis-inducing ligand receptor 1(TRAIL-R1) and interferon gamma (IFN-γ) genetic mutations in susceptibility and response to interferon-based therapy of hepatitis C virus (HCV) infection. The detection of TRAIL-R1 rs4242392 and IFN-γ rs2069707 single nucleotide polymorphisms was completed in 118 chronic HCV patients and 96 healthy controls by allele-specific polymerase chain reaction and restriction fragment length polymorphisms polymerase chain reaction. Patients were further categorized into sustained virological responder (SVR) and nonresponder (NR) groups on the basis of their response to interferon-based therapy for HCV infection. Real-time PCR was used for HCV quantification. HCV genotyping was performed by Ohno's method. The results demonstrated that the distribution of the TRAIL-R1 rs4242392TT genotype was significantly higher in the SVR group (78%) compared to the NR group (36%). It showed that chronic HCV patients possessing the TRAIL-R1 rs4242392TT genotype are better responders to interferon-based therapy (p<0.05). The prevalence of the TRAIL-R1 rs4242392TT genotype in healthy controls and chronic HCV patients was 56% and 65% respectively. It indicated that there is the TRAIL-R1 rs4242392 genetic variation plays no role in the spontaneous clearance of HCV infection (p>0.05). The distribution of IFN-γ rs2069707 was the opposite to TRAIL-R1 rs4242392 prevalence, that is, there was high distribution of the IFN-γ rs2069707GG genotype in patients and healthy controls (p<0.05), while the prevalence of IFN-γ rs2069707GG in SVR and NR groups was comparable (p>0.05). In conclusion, genetic variation of TRAIL-R1 rs4242392 is linked with response to interferon-based therapy for HCV infection, and genetic variation IFN-γ rs2069707 is associated with natural clearance of HCV infection.
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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 | 0.000 | 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 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".