Alternative activation of macrophages by IL‐4 requires SHIP degradation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Alternatively activated macrophages are critical in host defense against parasites and are protective in inflammatory bowel disease, but contribute to pathology in asthma and solid tumors. The mechanisms underlying alternative activation of macrophages are only partially understood and little is known about their amenability to manipulation in pathophysiological conditions. Herein, we demonstrate that Src homology 2-domain-containing inositol-5'-phosphatase (SHIP)-deficient murine macrophages are more sensitive to IL-4-mediated skewing to an alternatively activated phenotype. Moreover, SHIP levels are decreased in macrophages treated with IL-4 and in murine GM-CSF-derived and tumor-associated macrophages. Loss of SHIP and induction of alternatively activated macrophage markers, Ym1 and arginase I (argI), were dependent on phosphatidylinositol 3-kinase (PI3K) activity and argI induction was dependent on the class IA PI3Kp110δ isoform. STAT6 was required to reduce SHIP protein levels, but reduced SHIP levels did not increase STAT6 phosphorylation. STAT6 transcription was inhibited by PI3K inhibitors and enhanced when SHIP was reduced using siRNA. Importantly, reducing SHIP levels enhanced, whereas SHIP overexpression or blocking SHIP degradation reduced, IL-4-induced argI activity. These findings identify SHIP and the PI3K pathway as critical regulators of alternative macrophage activation and SHIP as a target for manipulation in diseases where macrophage phenotype contributes to pathology.
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.
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) | 0.000 | 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) | 0.000 | 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