Cftr Modulates Wnt/β-Catenin Signaling and Stem Cell Proliferation in Murine Intestine
Bibliographic record
Abstract
Abstract Background & Aims Cystic fibrosis (CF) patients and CF mouse models have increased risk for gastrointestinal tumors. CF mice exhibit augmented intestinal proliferation of unknown etiology and an altered intestinal environment. We examined the role of Cftr in Wnt/β-catenin signaling, stem cell proliferation and its functional expression in the active intestinal stem cell (ISC) population. Dysregulation of intracellular pH (pH i ) in CF ISCs was investigated for facilitation of Wnt/β-catenin signaling. Methods Crypt epithelia from wild-type (WT) and CF mice were compared ex vivo and in intestinal organoids (enteroids) for proliferation and Wnt/β-catenin signaling by standard assays. Cftr in ISCs was assessed by immunoblot of sorted Sox9 EGFP intestinal epithelia and pH i regulation by confocal microfluorimetry of Lgr5+-EGFP ISCs. Plasma membrane association of the Wnt transducer Disheveled 2 (Dvl2) was assessed by fluorescence imaging of live enteroids from WT and CF mice crossed with Dvl2-EGFP/Rosa mT/mG mice. Results Relative to WT, CF intestinal crypts showed a ~30% increase in epithelial and Lgr5+ ISC proliferation and increased Wnt/β-catenin signaling. Cftr was expressed in Sox9 EGFPLo ISCs and loss of Cftr induced an alkaline pH i in Lgr5+-EGFP ISCs. CF crypt-base columnar cells (CBCs) demonstrated a generalized increase in plasma membrane Dvl2-EGFP association as compared to WT. Dvl2-EGFP membrane association was charge- and pH-dependent and increased in WT CBCs by Cftr inhibition. Conclusions CF intestine exhibits increased ISC proliferation and Wnt/β-catenin signaling. Loss of Cftr increases pH i in ISCs which stabilizes the plasma membrane association of the Wnt transducer Dvl, likely facilitating Wnt/β-catenin signaling. Absence of Cftr-dependent suppression of ISC proliferation in the CF intestine may contribute to increased risk for intestinal tumors. Graphical Abstract
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".