Bibliographic record
Abstract
PURPOSE OF REVIEW: The prevalence of allergic diseases continues to rise globally in developed countries. Since the initial proposal of the hygiene hypothesis, there has been increasing evidence to suggest that the intestinal microbiota, particularly during early infancy, plays a critical role in regulating immune responses associated with the development of atopy. This review evaluates the key epidemiologic and mechanistic data published to date. RECENT FINDINGS: Epidemiological data have provided the framework for animal studies investigating the importance of gut commensals in allergy development. These studies provide new insights about the microbial regulation of mucosal immune responses inside and outside the gut, and how these effects may drive allergic inflammation in susceptible individuals. Specific immune cells have been identified as mediators of these microbiota-regulated allergic responses. SUMMARY: In the last year, technological advances have provided us with a better understanding of the gut microbiome in healthy and allergic individuals. Recent studies have identified the associations between particular gut microbes and different disease phenotypes, as well as identified immune cells and their mediators involved in allergy development. This research has provided a number of host and microbe targets that may be used to develop novel therapies suitable for the treatment or prevention of allergic diseases.
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) | 0.001 | 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".