Implication of Virulence Factors in<i>Escherichia coli</i>O157:H7 Pathogenesis
Bibliographic record
Abstract
Since the first documented outbreak of hemorrhagic colitis caused by Escherichia coli O157:H7 in 1982, numerous publications have demonstrated or proposed putative components implicated in the pathogenesis of this gastrointestinal infection. Indeed, Escherichia coli O157:H7 pathogenesis is linked to several potential virulent factors such as verotoxins (or Shiga-like toxins), components implicated in attaching/effacing of microvilli, and the enterohemolysin phenotypes. Defining the precise molecular mechanisms involved in the pathogenesis of E. coli O157:H7 implies detailed comprehension of the virulent factors that provoke a wide range of pathophysiological symptoms. The public health significance of this emerging world-wide menace has been demonstrated by clinical complications during treatment, its low infectious dose, and the severity of clinical manifestations. In this review I describe current knowledge of Escherichia coli O157:H7 pathogenesis with emphasis on known and potential virulent factors.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".