CD44 and its Role in Inflammation and Inflammatory Diseases
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
The cell adhesion molecule CD44 is expressed on the majority of immune cells and is responsible for mediating adhesion to the extracellular matrix glycosaminoglycan, hyaluronan. The binding of CD44 to hyaluronan is induced on T lymphocytes after activation by antigen and on monocytes after stimulation by inflammatory agents. Under inflammatory conditions, CD44 on endothelial cells presents hyaluronan to CD44 on activated T lymphocytes and mediates a rolling interaction under flow conditions. This rolling interaction together with chemokine signaling upregulates integrin-mediated adhesion, which induces cell arrest and leads to subsequent migration to the inflammatory site. Studies with monoclonal antibodies against CD44 in mouse models of chronic inflammatory disease showed reduced disease severity attributed to reduced leukocyte recruitment. More recent investigations, taking advantage of the availability of CD44 null mice, further established a role for CD44 in leukocyte recruitment to inflammatory sites. These studies also revealed a role for CD44 in limiting the inflammatory response and resolving inflammation in models of lung injury and hepatitis. Here we describe the contributions of CD44 and hyaluronan to an inflammatory response and discuss the role of CD44 in both promoting and resolving inflammation in various mouse models of inflammatory disease.
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) | 0.001 | 0.001 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.001 | 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