Circulating CD14−CD36+ peripheral blood mononuclear cells constitutively produce interleukin-10
Bibliographic record
Abstract
The impact of immune regulatory imbalance covers surprising physiological breadth. Although dominance of anti-inflammatory cytokines such as IL-10 is associated with reduced immune responsiveness and susceptibility to persistent infection, conditions such as cardiovascular disease and diabetes are linked to chronic inflammation and lower IL-10 levels. An appropriate threshold for immune activation is critical for optimal protection from infection and conversely, from short- and long-term side-effects of immune effector mechanisms. To assess the possibility that IL-10 plays a role in setting this threshold and that healthy maintenance of immune silence may involve low-level immune suppression, we sought out and characterized human peripheral blood cells constitutively producing the immunosuppressive cytokine IL-10. We determined the surface phenotype of circulating PBMC constitutively producing IL-10 by surface and intracellular flow cytometry and visualized their ultrastructure by electron microscopy. The frequency of IL-10-producing and -secreting cells was estimated by ELISPOT and flow cytometry. Up to 1% of PBMC constitutively produce IL-10. These CD14(-)CD36(+)CD61(+) nonadherent cells expressed general markers of hematopoietic and progenitor cells (CD45 and CD7) but no stem cell, T cell, B cell, NK cell, monocytes or dendritic cell markers. Inflammation-associated TLRs were also absent. The IL-10-producing cells had prominent nuclei, multiple mitochondria, and abundant rough endoplasmic reticulum. Healthy individuals have PBMC constitutively producing IL-10. Although the lineage of these cells remains unclear, their properties and frequency suggest a potential role in homeostatic or innate immune suppression.
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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) | 0.002 | 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".