Serial Evolution of TCR <i>β</i> Chain Transcript Mobilization in HIV Type-1-Infected Patients Following Vaccine Immune Stimulation and HAART Interruption
Bibliographic record
Abstract
In this article, we studied the T cell receptor (TCR)beta chain transcript mobilization in peripheral blood lymphocytes harvested from HIV-1-infected patients before and after vaccination with a mixture of six lipopeptides and at the moment and serially after highly active antiretroviral therapy (HAART) interruption. This study was performed by using a combined qualitative and quantitative assessment of Vbeta mRNA alterations at the level of complementary determining region 3 length distribution (CDR3-LD) of the TCR. Whereas healthy individuals displayed both stable CDR3-LD profiles and Vbeta transcript accumulations over time, the four HIV-1-infected patients in a quiescent disease phase under HAART have a highly significantly biased CDR3-LD. In addition, they displayed a significant further increase of alterations of their beta CDR3-LD profile after vaccination and both a more altered CDR3-LD (p < 0.05) and an increased transcript accumulation of some Vbeta families after HAART interruption. These modifications mostly concerned the CD8(+ve) T cells. Such a global approach of TCR alterations may help to follow the immune response of these patients and allow targeting of more complex in vivo studies by identifying the T cells with a selected repertoire.
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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 | 0.001 | 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".