DIRECT VISUALIZATION AND QUANTITATION OF CYTOMEGALOVIRUS-SPECIFIC CD8+ CYTOTOXIC T-LYMPHOCYTES IN LIVER TRANSPLANT PATIENTS1
Bibliographic record
Abstract
BACKGROUND: CMV infection remains a significant clinical problem in the context of LT. Changes in the magnitude of the CMV-specific CTL response after LT have not previously been assessed but may be important in determining the outcome of CMV infection. METHOD: We used a fluorescent HLA-B*0702-CMV peptide tetrameric complex to directly visualize and quantitate CMV-specific CD8+ CTL both in immunosuppressed patients after LT and in immunocompetent controls. RESULTS: CMV-specific CD8+ CTL, at a frequency ranging from 0.1 to 5.8% of CD8+, were detected in the peripheral blood of 22 of 25 B*0702, CMV immunoglobulin G seropositive individuals, with no difference observed between immunocompetent controls and patients >3 years after LT. In CMV seropositive LT recipients who did not have symptomatic CMV infection during the first 3 months after LT, CMV-specific CD8+ CTL magnitude initially decreased, then increased up to 5 times higher than pre-LT levels within 3 months. Two CMV seronegative recipients of seropositive donors had symptomatic CMV infection in association with high viral load. In both patients, no CD8+ CTL response was detected before the onset of symptoms, and a reduction in viral load was observed during antiviral therapy. However, polymerase chain reaction negativity was achieved only when a demonstrable CMV-specific CD8+ CTL response was generated. Responses were never observed in asymptomatic CMV seronegative patients. CONCLUSIONS: We suggest that the generation of CMV-specific CD8+ CTL may be driven by, and seems to coincide with the suppression of, viral reactivation. Direct monitoring of CMV-specific CD8+ CTL using an HLA-peptide tetramer may prove to be of value in the management of patients after LT.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 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".