A Unique Gene Expression Profile to Identify Operationally Tolerant Liver Transplant Recipients
Bibliographic record
Abstract
Identification of operationally tolerant liver transplant recipients (TOL) would allow for withdrawal of immunosuppression and potential improvement in long-term graft survival. We investigated the utility of a previously identified pre-clinical gene expression profile to identify TOL. Peripheral blood mononuclear cells (PBMC) were isolated from TOL (N= 4), rejecting liver transplant recipients (REJ, N= 6); liver transplant recipients on minimal immunosuppression (Min IS, N= 29),on standard immunosuppression (Stand IS, N= 24), and healthy live liver donors (HLD, N= 23). Liver biopsies and plasma cytokine levels were also obtained from a subset of patients to compare intra-graft gene expression with gene expression and protein levels in PBMC. All 4 liver transplant recipients who had developed a state of tolerance and were off immunosuppression (TOL) had high co-expression of FGL2 and TIGIT mRNA transcripts in their PBMC in contrast to patients undergoing rejection yielding a potentially useful biomarker panel for operational tolerance.
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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 | 0.001 | 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".