Intravenous immunoglobulin (IVIg) or IVIg‐treated macrophages reduce DSS‐induced colitis by inducing macrophage IL‐10 production
Bibliographic record
Abstract
Abstract Intravenous immunoglobulin (IVIg) is used to treat immune‐mediated diseases but its mechanism of action is poorly understood. We have reported that co‐treatment with IVIg and lipopolysaccharide activates macrophages to produce large amounts of anti‐inflammatory IL‐10 in vitro. Thus, we asked whether IVIg‐treated macrophages or IVIg could reduce intestinal inflammation in mice during dextran sulfate sodium (DSS)‐induced colitis by inducing macrophage IL‐10 production in vivo. Adoptive transfer of IVIg‐treated macrophages reduces intestinal inflammation in mice and collagen accumulation post‐DSS. IVIg treatment also reduces DSS‐induced intestinal inflammation and its activity is dependent on the Fc portion of the antibody. Ex vivo, IVIg induces IL‐10 production and reduces IL‐12/23p40 and IL‐1β production in colon explant cultures. Co‐staining tissues for mRNA, we demonstrate that macrophages are the source of IL‐10 in IVIg‐treated mice; and using IL‐10‐GFP reporter mice, we demonstrate that IVIg induces IL‐10 production by intestinal macrophages. Finally, IVIg‐mediated protection is lost in mice deficient in macrophage IL‐10 production (LysMcre +/− IL‐10 fl/fl mice). Together, our data demonstrate a novel, in vivo mechanism of action for IVIg. IVIg‐treated macrophages or IVIg could be used to treat people with intestinal inflammation and may be particularly useful for people with inflammatory bowel disease, who are refractory to therapy.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 0.009 |
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; both teacher heads agree on what is shown here.
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".