Lymphatic vessel contractile activity and intestinal inflammation
Bibliographic record
Abstract
Edema is a consistent observation in inflammatory bowel disease (IBD), and immune responses are inevitable in inflammation. Because the lymphatic system is an integral part of both tissue fluid homeostasis and immune reactions, it is likely that lymphatics play a role in the complex etiology of IBD. Despite the consistent findings that the lymphatic system is altered during gastrointestinal inflammation, the majority of studies conducted on the disease only mention the lymphatic system in passing. The effects of inflammatory mediators on lymphatic vessel function also remain poorly defined, despite its essential role in immunity and prevention of tissue edema. Processes allowing effective lymph transport are altered during inflammation, however, the mode of alteration and reason why lymphatics are ineffective in inflammatory reactions need to be further investigated. In addition, these processes have not yet been examined in an appropriate animal model and little has been done using in vivo methods of investigation in any model of gastrointestinal inflammation. This paper reviews the role of the lymphatic system in intestinal inflammation, as well as the role of the inflammatory products in mediating lymphatic contractile function.
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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".