Cux1 transcription factor is induced in inflammatory bowel disease and protects against experimental colitis†
Bibliographic record
Abstract
BACKGROUND: Cux1 is a ubiquitous transcriptional factor that has been associated with cell proliferation, migration, invasion, and differentiation. Cux1 is an effector of the transforming growth factor beta (TGFβ) pathway, PAR(2) receptor signaling, and cellular migration, mechanisms intimately related to inflammatory bowel diseases (IBD). METHODS: CD1 mice treated with dextran sulfate sodium (DSS) in drinking water and cultured intestinal epithelial cells were used to determine Cux1 expression under inflammatory conditions. A commercial cDNA library was used to monitor CUX1 expression in IBD patients. The Cux1(ΔHD/ΔHD) hypomorphic mouse model (Cux1ΔHD) treated with DSS in drinking water was used and the disease severity assessed. RESULTS: Cux1 expression increased in cultured intestinal epithelial cells stimulated with tumor necrosis factor alpha (TNFα), in the mouse intestinal epithelium during experimental colitis and in human IBD patient samples. DSS-induced colitis in Cux1ΔHD mice was more severe according to clinical observations such as weight loss, colon length, and rectal bleeding. Histological observations confirmed an increase of IBD-related morphological changes including ulceration and mucosal infiltration of leukocytes in Cux1ΔHD mice. An increased number of pSer(276)-RelA-positive cells and higher expression levels of proinflammatory cytokines were also measured in the colon of Cux1ΔHD diseased animals. Elevated levels of Cxcl1 were measured before and after DSS-treatment and a greater neutrophilic infiltration was quantified in DSS-treated Cux1ΔHD mice. Finally, mucosal healing was significantly impaired in Cux1ΔHD mice during recovery from DSS treatment. CONCLUSIONS: CUX1 is increased in response to inflammatory stress and its nuclear expression is crucial to protect against DSS-induced colitis and subsequent mucosal healing.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".