[Endomorphine-1 inhibits maturation and functions of human peripheral blood-derived dendritic cells].
Bibliographic record
Abstract
OBJECTIVE: To investigate the effects of endomorphine-1 (EM-1) on the functional features of lipopolysaccharide (LPS)-stimulated peripheral blood-derived dendritic cells (PBDCs), including PBDC phenotypes, cytokine profile and its capability of promoting T cell proliferation. METHODS: PBDCs were isolated from peripheral blood and differentiated in the presence of recombinant human granulocyte-macrophage colony-stimulating factor (rhGM-CSF) and interleukin-4 (rhIL-4). Then the cells were further activated by LPS or EM-1. Several surface markers were detected by flow cytometry including CD80, CD86, CD83, HLA-DR and CCR7. ELISA was used to detect cytokine levels of IL-10, IL-12, IFN-γ in the supernatants of the cultured PBDCs. Using co-culture of T lymphocytes and PBDCs stimulated by EM-1, the proliferation of T cells induced by PBDCs was determined by 5, 6-carboxyfluorescein succinimidyl ester (CFSE) staining. RESULTS: EM-1 down-regulated the expressions of CD80, CD86, CD83, HLA-DR and CCR7 on the activated PBDCs. Moreover, EM-1 decreased the secretion of IL-12 and IL-10 in these PBDCs. In co-culture of T lymphocytes and EM-1-treated PBDCs, T cell proliferation was impaired, and less IL-12 and IFN-γ were produced in the culture supernatant. CONCLUSION: EM-1 could inhibit the maturation and immune functions of PBDCs.
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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".