Sex differences in IL-10’s anti-inflammatory function: greater STAT3 activation and stronger inhibition of TNF-α production in male blood leukocytes ex vivo
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Bibliographic record
Abstract
Interleukin-10 (IL-10) inhibits proinflammatory cytokine production in blood leukocytes—an effect mediated by signal transducer and activator of transcription 3 (STAT3) activation. To examine potential sex-based differences in IL-10’s anti-inflammatory function, we treated whole blood from healthy males and females ( n = 16 participants of each sex; age: 28 ± 6 yr; body mass index: 23.5 ± 2.3 kg/m 2 ) with increasing concentrations of IL-10 (1–100 ng/mL) and quantified changes in phosphorylated STAT3 (pSTAT3) in CD14 + monocytes and CD4 + lymphocytes via flow cytometry. In parallel, liposaccharide (LPS)-stimulated whole blood cultures were used to assess sex-based differences in IL-10’s ability to inhibit tumor necrosis factor (TNF)-α production. IL-10 concentration dependently increased pSTAT3 median fluorescent intensity (MFI) in CD14 + and CD4 + cells (main effects of concentration, P < 0.01) with males exhibiting larger changes in pSTAT3 MFI in both cell types (main effects of sex, P < 0.01). Accordingly, IL-10-mediated inhibition of TNF-α production was more pronounced in males (main effect of sex, P < 0.01) with changes in other monocyte-derived cytokines (IL-1β, IL-1RA, and IL-15) also supporting a sexual dimorphism in IL-10 action ( P < 0.05). These sex-based differences were not explained by differences in circulating plasma IL-10 concentrations, basal IL-10 receptor expression in unstimulated CD14 + and CD4 + cells, nor the basal expression of IL-10 signaling proteins (STAT3, SHIP1, and p38 MAPK) in unstimulated peripheral blood mononuclear cells. We conclude that IL-10’s anti-inflammatory function differs between male and female blood leukocytes ex vivo. This sexual dimorphism should be considered in future work investigating IL-10’s anti-inflammatory action in humans as it may represent a mechanism contributing to sex differences in overall immune function.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it