Expression of Active Protein Kinase B in T Cells Perturbs Both T and B Cell Homeostasis and Promotes Inflammation
Bibliographic record
Abstract
The molecular mechanisms that contribute to autoimmunity remain poorly defined. While inflammation is considered to be one of the major checkpoints in autoimmune disease progression, very little is known about the initiating events that trigger inflammation. We have studied transgenic mice expressing the prosurvival molecule protein kinase B/Akt under control of a T cell-specific CD2 promoter. In this study, we demonstrate that aged mice develop lymphadenopathy and splenomegaly that result from an accumulation of CD4, CD8, and unexpectedly B cells. An increased proportion of T cells express activation markers, while T cell proliferative responses remain normal. B cells are hyperproliferative in response to anti-IgM F(ab')(2) and anti-CD40, and increased IgA and IgG2a were found in the sera. In addition, a profound multiorgan lymphocytic infiltration is observed, and T cells from these mice display a defect in Fas-mediated apoptosis, which may be the mechanism underlying this phenotype. Therefore, T cell expression of active protein kinase B can alter T cell homeostasis, indirectly influence B cell homeostasis, and promote inflammation in vivo.
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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 | 0.000 | 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".