FKBP51 levels negatively correlate with Depressive symptoms in Chronic Hepatitis C
Bibliographic record
Abstract
ABSTRACT Background and aims Patients with chronic hepatitis C infection have high rates of major depressive disorder. The reasons for this are multifactorial, but social and demographic factors do not entirely explain the increased burden. Direct neuropathologic effect of the virus in the development of depression has been postulated but the mechanisms remain unclear. Single nucleotide polymorphisms (SNPs) in FKBP5 (protein product FKBP51), a co-chaperone of the glucocorticosteroid receptor, have been associated with greater severity of affective disorders. We examined the interaction between FKBP5 SNPs and chronic hepatitis C infection in patients with and without depressive symptoms. Methods forty-one subjects completed quality of life and psychiatric questionnaires. Thirteen patients were classified as depressed on the Hospital Anxiety and Depression Scale depression sub-score (HADS-D ≥11). FKBP51 protein expression, FKBP5 mRNA and FKBP5 SNP analysis was compared between those with and without depression. Results There were no statistically significant differences between the groups in demographics, medical co-morbidities or substance use. A moderate negative correlation (Spearman rho -0.53, p<0.001) was found between HADS-D sub-score and FKBP51 protein levels in serum. Correspondingly, the average expression fold change in peripheral blood FKBP5 mRNA relative to a reference gene was lower in the depressed group at 0.76 compared to controls at 1.40. There was no differential expression of FKBP5 SNPs between the groups. Conclusion Levels of FKBP5 mRNA and FKBP51 are lower in hepatitis C patients with depression and further exploration of this interaction is required.
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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".