Lectin Ingestion: Changes in Mucin Secretion and Bacterial Adhesion to Intestinal Tissue
Bibliographic record
Abstract
Phytohemagglutinin (PHA), the lectin derived from red kidney been (Phaseolus vulgarus) causes reduced growth rates in several animal species, when incorporated at 0.5-5% of dietary protein. Lectin feeding results in diarrhea, impaired nutrient absorption, growth rate inhibition, and can even lead to the eventual death of PHA-fed animals. These effects are believed to result from changes in the autochthonous microflora induced by the presence of PHA in the diet, as germ-free animals do not display the same changes seen in conventional animals (1-11) Jayne-Williams' (1,2) now classical studies in the quail clearly demonstrate this point. It is established that these adverse effects are the result of PHA-induced changes in the normal endogenous flora and are not due to lectin selection of specific pathogenic bacteria (9, 10) The major change appears in the levels of facultative aerobes, which increase in PHA-fed animals without an increase in obligate anaerobes (2,6). These observations separate the effects of PHA feeding from blind loop syndrome or other stressrelated changes in bacterial flora, in which anaerobic bacterial overgrowth is observed (12,13). Phytohemagglutinin feeding has also been observed to affect small intestinal growth (14).
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".