Identification of Escherichia coli O157:H7 by multiplex PCR with primers specific to the hlyA, eaeA, stx1, stx2, fliC and rfb genes.
Bibliographic record
Abstract
Escherichia coli O157:H7 can cause fatal diseases such as hemolytic-uremic syndrome and thrombotic thrombocytopenic purpura. The early symptoms of E. coli O157:H7 infection are similar to those of infection with other gastrointestinal bacteria, so the availability of a rapid and precise method to identify E. coli O157:H7 is important for early recognition. We report a multiplex polymerase chain reaction (PCR) with primers to detect the presence of the E. coli O157:H7 genes hlyA, which produces enterohemolysin, eaeA (intimin), stx1 (Shiga-like toxin I), stx2 (Shiga-like toxin II), fliC (flagella H-antigen), and rfb (surface O-antigen). The technique improves specificity compared to general PCR when used with > or = 10(3) CFU/assay. Specificity was examined using 32 E. coli O157:H7 strains from the USA, Japan, Canada and Taiwan, all of which were positive for hlyA, eaeA, fliC, rfb, and stx1 and/or stx2. Thirty-five non-O157 enterovirulent E. coli strains, two Shigella sp strains, and two Salmonella sp strains were also examined and none gave the positive gene expression results described above. This multiplex PCR was highly specific in identifying E. coli O157 and was more useful than general PCR in early clinical detection of this pathogen.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".