Detection and differentiation of <i>Vibrio parahaemolyticus</i> by multiplexed real-time PCR
Bibliographic record
Abstract
Vibrio parahaemolyticus is a common and important pathogen that causes human gastroenteritis worldwide. A rapid, sensitive, and specific assay is urgently required for detection and differentiation of V. parahaemolyticus strains. We designed three sets of primers and probes using groEL and two virulence genes (tdh and trh) from V. parahaemolyticus, and developed a multiplex real-time PCR protocol. The sensitivity and specificity of the multiplex assay was evaluated by environmental and clinical specimens of V. parahaemolyticus. The multiplex PCR response system and annealing temperature were optimized. The detection limits of the multiplex real-time PCR were 10 4 and 10 5 CFU/mL (or CFU/g) in pure cultures and spiked oysters, respectively. The multiplex real-time PCR specifically detected and differentiated V. parahaemolyticus from 35 Vibrio strains and 11 other bacterial strains. Moreover, this method can detect and distinguish virulent from nonvirulent strains, with no cross-reactivity observed in the bacteria tested. This newly established multiplex real-time PCR assay offers rapid, specific, and reliable detection of the total and pathogenic V. parahaemolyticus strains, which is very useful during outbreaks and sporadic cases caused by V. parahaemolyticus infection.
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) | 0.000 | 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 | 0.000 | 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".