Intestinal epithelial secretory function: Role of proteinase‐activated receptors
Bibliographic record
Abstract
Abstract The ability of enterocytes to secrete electrolytes and water into the intestinal lumen represents a critical feature of mucosal defense. During disease, this function may be altered and may initiate or exacerbate pathological conditions. Although many of the intracellular mechanisms linking stimulation to secretion have been elucidated, novel pathways continue to be revealed. These pathways provide potential for therapeutic manipulation of cellular function. In addition, the importance of the microenvironment surrounding enterocytes is increasingly being acknowledged, and the interactions between epithelial cells and their milieu are proving to be essential to the regulation of secretory function, both in health and disease. In this way, epithelial ion transport functions can be modulated by mediators released from neighboring nerves, inflammatory cells, and pathogens, or by endocrine factors. Much interest has recently been elicited by the discovery that proteinases can regulate cellular functions through the activation of proteinase‐activated receptors (PARs). Because of the abundance of proteases within the gastrointestinal tract, particularly in the setting of development, inflammation, and healing, it is likely that PARs have an important role to play in these processes. PARs have been localized to a variety of cell types in the gastrointestinal tract, and have been shown to influence epithelial secretory function on several levels. In this review, we discuss the mechanisms by which proteases and PARs regulate intestinal secretory function, and the manner in which these modulations might contribute to inflammatory processes. Drug Dev. Res. 59:386–394, 2003. © 2003 Wiley‐Liss, Inc.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".