Role of Nutrition in Inflammatory Bowel Disease (IBD): New Therapeutic Approaches and Recent Outcomes
Bibliographic record
Abstract
Inflammatory bowel disease (IBD) is the generic term given to a heterogeneous group of disorders of the gastrointestinal tract that are characterized by chronic inflammation. The major forms of IBD are Crohn’s disease (CD) and ulcerative colitis (UC), which are increasing in incidence, prevalence and severity in many countries; these are characterized by intestinal inflammation and are believed to involve complex interactions between genetic, immunological and environmental factors. The incidence continues to rise, both in low and in high-incidence areas. Several dietary regimes may modify disease symptoms, in part through their actions on the host microbe. However, other dietary factors could affect the microbiotic or genetic expression in IBD patients in different ways. The purpose of this review is to discuss the most recent evidence from the literature on the use of nutritional therapy in the treatment of IBD and to review the role of environmental factors on the progressive increase of prevalence. The epidemiological data reveal an increasing incidence of IBD in recent years, which may be the result of increased intake of simple sugars and consumption disproportionate of fat (saturated and unsaturated). Intestinal permeability and inflammation could improve with proper diet in protein, probiotics and FA (n-3 and n-6). Diet and the host microbiota are likely to play important but as yet poorly defined roles therefore, is necessary to continue investigating to implement molecular findings in clinical treatments or adjunctive therapies.
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".