Genetic variation in NRG 1 gene and risk of post‐traumatic stress disorders in patients with hepatocellular carcinoma
Bibliographic record
Abstract
OBJECTIVE: Neuregulin 1 (NRG1) was proved to play an important role in numerous neurodevelopmental processes. In our study, we aimed to investigate the relationship between the NRG1 gene polymorphism and the cognitive function of patients with hepatocellular carcinoma (HCC) complicated with post-traumatic stress disorders (PTSD) before and after the psychological intervention. METHODS: Mini-mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and Loewenstein Occupational Therapy Cognitive Assessment (LOTCA) were used for cognitive function assessment. Serum level of NRG1 was detected by ELISA, and the correlation between NRG1 level and cognitive function was analyzed. The difference of cognitive function score of patients with HCC complicated with PTSD before and after psychological intervention was compared, and the relationship between rs35753505 and rs3924999 polymorphism with the score was analyzed. RESULTS: Patients with HCC complicated with PTSD showed decreased serum NRG1 level. NRG1 levels of patients in the HCC + PTSD group were positively correlated with MMSE, MoCA, and LOTCA scores. In rs35753505, the CC genotype was a risk factor for the occurrence of PTSD in patients with HCC, while in rs3924999, the GG genotype was a risk factor for the occurrence of PTSD in patients with HCC. After psychological intervention, the CC genotype at rs35753505 and the GG genotype at rs3924999 were susceptible genotypes. CONCLUSION: CC genotype at rs35753505 and GG genotype at rs3924999 of NRG1 gene increased the risk of PTSD in patients with HCC. CC and GG genotypes were susceptible after psychological intervention.
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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) | 0.001 | 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".