Bone marrow-derived alternatively activated macrophages reduce colitis without promoting fibrosis: participation of IL-10
Bibliographic record
Abstract
Alternatively activated macrophages (AAMs) (or M2a) can inhibit colitis but may also be associated with fibrosis. Thus, by using the dinitrobenzene sulfonic (DNBS) murine model of colitis, this study aimed to determine whether 1) bone marrow (BM)-derived AAMs could reduce colitis, 2) any anticolitic effect of BM-AAMs was IL-10 dependent, and 3) repeated AAM treatments remained effective and were associated with fibrosis in the gut or other tissues. Balb/c mice received AAMs (10(6) intraperitoneally) from wild-type (WT) or IL-10(-/-) mice 48 h prior to DNBS (3 mg intrarectally) with disease assessed 72 h later, or they received three doses of DNBS at 2-wk intervals ± AAMs 6 h post-DNBS to mimic a treatment regimen. DNBS-treated mice developed colitis; this was significantly less severe in mice receiving WT AAMs and less so in animals given IL-10(-/-) AAMs, indicating a role for IL-10 in the inhibition of DNBS-driven colitis. Similarly, after the third AAM treatment lesser colonic histopathology was observed compared with time-matched DNBS-only-treated animals, and notably there was no evidence of increased fibroses in the colon, terminal ileum, lung, or liver of AAM-treated mice as assessed by quantitative PCR for prolyl-4-hydrolase, α-smooth muscle actin, and collagen (type IIIα) and histochemical and biochemical assessment of collagen deposition. This study provides mechanistic insight to the anticolitic capacity of AAMs and indicates that repeated adoptive transfer of ex vivo programmed BM-AAMs is safe and efficacious in the treatment of DNBS-induced murine colitis, providing additional support for their consideration as an immunotherapy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".