In vitro binding characteristics and affinity for sulfatide of Escherichia coli STb enterotoxin.
Bibliographic record
Abstract
It has previously been demonstrated that sulfatide (3'-sulfogalactosyl-ceramide), present at the surface of epithelial cells of the small intestine of pigs, interacts with the thermostable enterotoxin b (STb) produced by ETEC, and that this molecule is implicated in the mechanism of action of the toxin. However, few things are known about the affinity and physical characteristics of the interaction between these two macromolecules. In this study, using a microtiter plate binding assay (MPBA), we showed that STb toxin has a strong specificity for sulfatide and that this binding is dose-dependent and saturable. A very weak binding occurred with galactosyl-ceramide whereas attachment to 3'-sulfolactosyl-ceramide corresponded to 76% of the binding to sulfatide. STb toxin was shown to possess a lectin-like property; a significative binding was observed when a terminal beta-galactose was present in the glycosphingolipids tested and an increased binding was observed in presence of a sulfate group in position 3 on the galactose. These findings suggest that a sulfated galactosyl residue seems to represent the epitope recognized by the toxin. The reaction between sulfatide and STb toxin is also time and temperature dependent and is not affected by pH. The interaction was not inhibited by free sugars, sulfated polymers, glycolipids or free ions, but was partly inhibited by high concentrations of charged sugars. STb-sulfatide binding process is a low affinity interaction, as demonstrated by the determined Kd of 2-6 +/- 1.5 microM.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".