T lymphocytes possess the machinery for 5‐<scp>HT</scp> synthesis, storage, degradation and release
Bibliographic record
Abstract
AIM: Although activated T lymphocytes express tryptophan hydroxylase 1 and produce 5-HT, the metabolic fate and cellular handling of this 5-HT is unclear. Here, we investigated key proteins in T cells linked to 5-HT metabolism and storage and compare differences in 5-HT synthesis and metabolism between T-cell subsets. METHODS: We cultured human Jurkat T cells and mouse splenic CD3(+) , CD4(+) and CD8(+) T cells with or without T-cell activators (phorbol ester/ionomycin, concavalin A or plate-bound anti-CD3 antibody). Subsequently, we measured mRNA and/or protein for monoamine oxidase A and B, vesicular monoamine transporter 1 and 2, N-acetyl transferase and tryptophan hydroxylase 1. In addition, we measured the release of exogenously loaded [(3) H]5-HT and endogenously synthesized 5-HT from CD4(+) and CD8(+) T-cell subsets. RESULTS: Human and mouse T cells selectively express monoamine oxidase A. Following T-cell activation, mRNA levels of MAO-A increase robustly in parallel with tryptophan hydroxylase 1. Concomitant with these changes, T cells increase the expression of the type 1 vesicular monoamine transporter. Raised intracellular [Ca(2+) ] rapidly releases preloaded [(3) H]5-HT from CD4(+) and CD8(+) T cells indicating that these cells have the capacity for the storage and regulated secretion of 5-HT. Notably, both the expression of tryptophan hydroxylase 1 and monoamine oxidase A, and 5-HT production are significantly greater in CD8(+) compared with CD4(+) T cells. CONCLUSION: These data reveal coordinated changes in 5-HT production, metabolism and storage that may optimize 5-HT secretion from the CD8(+) T cell subset in response to activation stimuli.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".